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Tag: Economy

  • Revamping PSUs in India – is Disinvestment the only way forward?

    Revamping PSUs in India – is Disinvestment the only way forward?

    Back in 1948 when India’s first Public Sector Unit (Indian Telephone Industries) was established, India was a newly independent agrarian economy with a weak industrial base. It was clear that the country needed to embark on a path of rapid industrialization if it was to improve the economic status and standards of living. The need was felt for large scale investment from the public sector that private players could not provide. It was in this backdrop that PSUs were first established in the country. It was envisioned that these state-run entities would jumpstart industrialization and spearhead development.

    Today, almost 70 years later, the country itself has come a long way. Once seen as the knights in shining armour come to rescue India’s economy, the same PSUs have come under fire for squandering crores of taxpayer money today. Far removed from their past glories, PSUs today are a cesspool of unproductivity where taxpayer money dies a slow painful death. The sorry state of PSUs in India has even warranted nicknames in the likes of ‘Zombie Companies’ and ‘Zombieland of Taxpayer Money’. While these nomenclatures may seem extreme, they are not without merit.

    The combined loss of these PSU’s amounts to over Rs. 31,635 crores in taxpayer money [1]. What’s more, this number is not inclusive of the losses reported by the dozen public sector banks, which would only add to the already huge mountain of debt.

    Current State of PSU’s in India

    Back in 1951, there were only 5 public sector enterprises in existence. Since then the government has gone on a spending spree, entering more and more businesses over the years. Today the government runs more than 300 PSUs across a plethora of industries ranging from hotels & watches to telecom and steel. It doesn’t come as a surprise that over 70 of these entities are running a net loss. The combined loss of these PSU’s amounts to over Rs. 31,635 crores in taxpayer money [1]. What’s more, this number is not inclusive of the losses reported by the dozen public sector banks, which would only add to the already huge mountain of debt. If the central public sector enterprises have fared poorly, the state-level public enterprises (SLPE) paint a bleaker picture. Barring certain states, the SLPEs of almost all the states in India report a net loss. The losses reported by these SLPEs are almost 3 times greater than the amount reported by their central counterparts.

    The PSUs which have not reported a net loss has not escaped public scrutiny either, with almost all of them losing value over the last decade. While some do report profits, their returns have been dwindling, save a few. The rate of return on capital employed (ROCE), widely used as a measure of profitability and efficiency, has been on a downward trend for PSUs. It has been reported that PSU efficiency has fallen by over 50% in the last decade [2]. In the last six years alone the total market cap of all public sector firms and banks fell by 36% even as the market cap of all BSE and NSE listed companies have almost doubled in the same period [3]. 

    The bad news is that this dismal performance of PSUs is only going to get worse, especially given the current economic climate. Despite years of turnaround efforts and crores of bailout money, these state-run entities have shown no signs of recovery, save a few. In this light, much of the discourse around PSUs has been focused on disinvestment. The government too seems to echo this sentiment as it has chosen to embark upon a long-drawn journey of divesting its holdings. Several sectors in India are already heading towards 100% privatization. With the sale of Air India, the civil aviation industry will become fully private. In the power sector, there has been a growing emphasis on private generation, with the centre reducing its stake in NTPC and BHEL. Sooner or later this sector is also headed for 100% privatization. In other sectors like telecom and health, the government has just a token presence, with much of the market being dominated by private players.

    Push for Privatization

    This push for privatization is welcome and much needed in sectors like civil aviation which lack strategic importance. The sorry state of Air India has made clear that the government simply cannot compete with private players in a highly commercialised industry like aviation. Air India in particular has been languishing for years and has eroded crores of taxpayer money in the process. This has been the case not just for India but for other developing economies like Brazil and Malaysia as well. Malaysia has been trying to turn around Malaysia Airlines for decades altogether with no end in sight. After years of struggle, it seems the government has finally decided to change tracks as it is now looking to give up its majority stake in the airline to private investors. The case with Brazil is no different – the failing national aerospace conglomerate Embraer was revived just in time with a dose of privatization.

    The Embraer turnaround model in particular offers some interesting lessons for India. What started off as a government entity in 1969 was privatised in 1994 in order to avoid bankruptcy [4]. Embraer then went from near bankruptcy to becoming the third-largest aircraft manufacturer in the world. What’s striking here is that the Brazilian government played its cards to near perfection – while it completely privatized the airline, the Brazilian government still holds a ‘golden share’ in Embraer giving it veto power over strategic decisions involving military programs and any change in its controlling interest. This model ensured a win-win situation for the Brazilian government and the rest, of course, is history. 

    Instead of divesting its bleeding PSU’s, the government is currently in the process of selling its 100% stake in 3 large profitable companies (BPCL, CCI, and the Shipping Corporation). While it’s tempting to believe this is a part of an extensive government masterplan, the stark reality is that the government has let fiscal pressures dictate its divestment strategy.

    The problem with the centre’s current disinvestment strategy, however, is that it is focused merely on balancing government books and lacks a long-term strategic vision. Instead of divesting its bleeding PSU’s, the government is currently in the process of selling its 100% stake in 3 large profitable companies (BPCL, CCI, and the Shipping Corporation). While it’s tempting to believe this is a part of an extensive government masterplan, the stark reality is that the government has let fiscal pressures dictate its divestment strategy. It appears the government is simply selling its stake in PSUs to make quick money and ease the fiscal books. There are also concerns that 100% privatization of entities like BPCL and HPCL will feed private monopoly and leave India’s energy security purely in the hands of private players. Even in the sale of loss-making entities the government has lacked a systematic plan, with divestment being carried out in penny packets. This sort of disinvestment just to stop the bleeding is a short term stop-gap measure and will surely have long term repercussions. 

    The case for Public Sector Presence

    While privatization plays are much needed in sectors like civil aviation, the same cannot be said for strategic sectors such as power, pharma, and health. A diluted public sector presence in strategic industries may not bode well for the economy, especially for a developing country like India. As the COVID-19 pandemic has shown, strong public systems are essential to absorbing global shocks. While proponents of disinvestment seek to cut the economic costs of bleeding PSUs, they often ignore the social costs involved in the process and the impact it will have on a developing economy like ours.

    In light of the current global economic climate, as more and more countries turn inward, the role of state-run entities has become all the more important. The experiences of other Asian economies like China and Singapore have shown that state-run units could be tools of economic growth if utilised effectively. Most of China’s industrial push, including the recent ‘Made in China 2025’ plan has been heralded by State-Owned Enterprises (SOE’s). Among the 124 Chinese companies in the Fortune Global 500 list, more than half were SOE’s [5]. Out of these, 3 of the Chinese SOE’s feature in the top 5 globally, speaking volumes of the role they have played in the growth of the country. China has effectively put SOE’s at the core of its vision to combat the challenges it currently faces, including the escalating trade war with the USA. China’s model is also noteworthy given the level of collaborative investments between SOE’s and private players. India can take a leaf or two out of China’s book on the successful use of SOE’s to drive its growth story.

    Turning around existing PSU’s – success stories 

    It is clear that the government simply cannot take the easy way out of simply divesting and washing its hands off the bleeding PSUs. In certain critical sectors (that first need to be recognized in line with the long-term strategy) the government still needs to work on repairing the damage and turning around its existing underperformers. While the task seems impossible given the current state of affairs, policymakers can take heart from the fact that it has been done before both in India and globally.

    One such global success story is that of the Kiwi national carrier Air New Zealand. In a world of post-privatization success stories, Air NZ stands out as one of the few lone dissenters to buck this trend. The NZ based company, privatised by the government in 1989, had to be re-nationalised again in 2001 after it ran into financial troubles. The fortunes of the New Zealand economy have been closely tied to that of Air NZ, with the country being heavily dependent on local and international tourism. Within just two years of nationalisation Air NZ was able to fashion a comeback from near ruin, and today is one of the biggest revenue earners for the NZ government. That a company that failed in private hands was able to be revived by the government offers a beacon of hope for struggling public enterprises worldwide.

    Back home in India as well such success stories do exist, albeit in a bygone era. Aptly recognised as one of the greatest public sector managers of India, Dr. V. Krishnamurthy is the mastermind behind these success stories. His unparalleled contributions to the public sector have earned him several monikers such as ‘the helmsman’ and ‘the man with the golden touch’. He has been largely credited with successfully turning around public sector giants like BHEL, SAIL, GAIL, and Maruti. At a time when public sector turnarounds were unheard of in India, Dr. Krishnamurthy managed to increase profits of BHEL from 17 crore rupees to 57 crores during his five-year tenure [6]. He also came to be widely regarded as the ‘Steel Man of India’ after his successful turnaround of SAIL in the late 1980s. 

    At Maruti he decided to take a different approach, inviting private sector participation through a JV. While many skeptics were against this move initially, the helmsman had the last laugh as Maruti went on to dominate the automobile market in India for decades. Maruti’s turnaround story is also a shining example of the merits of public-private collaboration – something which today’s policymakers have chosen to largely overlook. Maruti today is a 100% private company and is widely credited with creating the automobile industry revolution in India. 

    Way Forward – a two-pronged approach to fix PSU’s

    While such success stories may be scant and the field is mired with accounts of public failure, it is evident that such turnarounds are not impossible. As we have seen from the examples in India and elsewhere, with the right leadership any enterprise can be pulled out of the mud. What is clear is that there is no simple one size fits all answer to the woes of PSU’s in India. Several countries have taken different approaches to tackle this issue. While China has followed a model of strong public presence in several industries, countries like the USA hardly have a public sector presence. The United States government rather exercises its presence by closely regulating and monitoring the industry through effective policy mechanisms.  Other countries like Singapore have chosen to manage PSUs through sovereign funds and holding companies. Singapore plays in the public sector via its two sovereign funds, Temasek and GIC. The companies owned by these funds operate as commercial entities and are no different from private players. Such a model has ensured that the companies get the best of both worlds – public ownership but with private, commercial management.

    countries like Singapore have chosen to manage PSUs through sovereign funds and holding companies. Singapore plays in the public sector via its two sovereign funds, Temasek and GIC.

    While there are many such different models that India can take inspiration from, the verdict is clear that the government must stop the bleeding in the public sector quickly or face the wrath of taxpayers. Going forward, the government must adopt a two-pronged approach to fix PSUs – some need to be killed, while others deserve a chance at resurrection.

    Firstly, the government needs to shut down bleeding enterprises in sectors that have no strategic relevance. The government is present in sectors like biofuel, airlines, hotels, and watches despite making heavy losses every year. Public entities simply cannot compete in these industries nor is there any strategic need to do so. The logical step for the government would be to send these entities to the graveyard and stop the bleeding.

    The top 10 loss making PSU’s account for over 94% of the overall losses reported by all PSU’s together.

    Secondly, efforts must be made to turnaround/transform remaining entities in strategic sectors. The top 10 loss making PSU’s account for over 94% of the overall losses reported by all PSUs together. These large offenders would be the best places to start – the government would do well to either transform these entities in-house through fresh leadership or by inviting private partnerships.

    The above tasks are easier said than done and may take years of policy reform to become a reality. While the problem does seem formidable, it is not unique to India alone. Several economies around the world, developing and developed alike, are grappling with the issue of falling public sector productivity and the need to stay relevant. Indian policymakers and public sector managers have a long road ahead of them, especially given the current global socio-economic scenario. But they can definitely take inspiration (and some valuable lessons) from the several public sector turnaround stories globally and from India’s great helmsman himself.

     

    References

    [1] Department of Public Enterprises. (2019). Public Enterprises Survey 2018-19 (Volume 1, Statement 1). Retrieved from https://dpe.gov.in/public-enterprises-survey-2018-19

    [2] Rai, D. (2019, September 11). PSU returns fell 50% in the past decade; 44 new entities created. Business Today. https://www.businesstoday.in/current/corporate/in-depth-government-companies-almost-lost-half-of-their-efficiency-in-last-10-years/story/378508.html

    [3] How PSU’s market cap fell by 36% in 6 years under Modi govt, while stock market doubled theirs. (2020, October 30). The Print. https://theprint.in/opinion/how-psus-market-cap-fell-by-36-in-6-years-under-modi-govt-while-stock-market-doubled-theirs/533743/

    [4] Haynes, B & Boadle, A. Boeing willing to preserve Brazil’s ‘golden share’ in Embraer deal. (2018, January 19). Reuters. https://www.reuters.com/article/us-embraer-m-a-boeing-idUSKBN1F72XB

    [5] Fortune. (2020). Fortune Global 500 2020. Retrieved from https://fortune.com/global500/

    [6] Nayar, L. V. Krishnamurthy, SAIL, BHEL, Maruti. (20187, March 23). Outlook India. https://magazine.outlookindia.com/story/v-krishnamurthy-sail-bhel-maruti/298634

     

  • Forecasting Unemployment Rate during the Pandemic

    Forecasting Unemployment Rate during the Pandemic

    Forecasting
    Forecasting, in simpler terms, is a process of predicting future values of a variable based on past data and other variables that are related to the variable being forecasted. For example, values of future demand for tickets for a particular airline company depend on past sales and the price of its tickets.
    Time-series data is used for forecasting purposes. According to Wikipedia ‘A time series is a series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus, it is a sequence of discrete-time data.’ An example of time series data for monthly airline passengers is given below:

    Figure 1


    More technically, it is modelled through a stochastic process, Y(t). In a time series data, we are interested in estimating values for Y(t+h) using the information available at time t.  
    Unemployment rate
    Unemployment is the proportion of people in the labour force who are willing and able to work but are unable to find work. It is an indicator of the health of the economy because it provides a timely measure of the state of labour market and hence, overall economic activities. In wake of the impact of Covid-19 on economic activities throughout the world, unemployment rate analysis and forecasts have become paramount in assessing economic conditions.
    In India, unemployment rates have been on the higher end in recent times. According to data released by Statistics Ministry, unemployment rate for FY18 was 6.1%, the highest in 45 years. It is no co-incidence that GDP rates have also been declining successively for the past few years. The shock that Covid-19 has given to the economy has only worsened our situation. The unemployment rate rose to 27.1% as a whopping 121.5 million were forced out of work.
     

    Figure 2


    Source: CMIE
    Methodology
    The data used to forecast unemployment rates was sourced from CMIE website, which surveys over 43,000 households to generate monthly estimates since January 2016. The data has 56 monthly observations ranging from January 2016 to August 2020, data before 2016 was not available.
    Four popular econometric forecasting models (ARIMA, Naïve, Exponential Smoothing, Holt’s winter method) were used and the best performing model was chosen to forecast unemployment till December 2020.
    The forecasting models were programmed in R. The relevant codes are available upon request with the author. The Dicky-Fuller test and the Chow test for structural breaks were conducted using STATA, results of which are presented further in the article.
    Before beginning the analysis, I believe that the limitations of the analysis should be mentioned:

    • The sample size of 56 observations is not sufficient for a thorough analysis, ideally the sample size should have been 2-3 times larger than the available data. Smaller sample sizes lead to skewed forecasting results which are prone to errors.
    • The unemployment data from CMIE is an estimate and is a secondary source. In India, primary data is only collected once in 3-4 years, thus the forecasting results are only as good as the source of the data.
    • This is a univariate analysis, an Okun’s law based analysis of Unemployment rate as a function of GDP (output) and past trends would have been more suitable. However, since GDP data is only available quarterly and there are only 56 monthly observations available, it would have rendered the analysis insignificant with only 19 quarterly observations.
    • Forecasting being based on past trends, is prone to errors. The negative shock provided by Covid-19 to the economies worldwide has made it all the more difficult to forecast. A Bloomberg study analysed over 3,200 forecasts by IMF since 1999 and found that over 93% of the forecasts underestimated or overestimated the results with a mean error of 2 percentage points.

     
    Checking the stationarity of data
    In order to model build a model, we need to make sure that the series is stationary. For intuitively checking the stationarity, I plotted the data over time as indicated in Figure 2 above. I also plotted the correlograms (autocorrelations versus time lags) as shown in Figure 8 and 9 in appendix. The plot of data over time indicate varying mean, variance and covariance. The ACF and PACF plot show that autocorrelations function are persistent indefinitely.
    We perform the Augmented Dickey Fuller test at 2 lags. Result of the ADF test is shown in Table 1 below. The test statistic is insignificant at 5 per cent and the p-value is 0.1709, which is more than the accepted benchmark of 0.05. We fail to reject the null hypothesis of non-stationarity. We conclude that our series is non-stationary.

    Dicky-Fuller test on raw data

    Table 1

    		 —– Interpolated Dickey-Fuller —–
    Test statistic 1% critical value 5% critical value 10%critical value
    Z(t) -2.303 -3.576 -2.928 -2.599

     
     
     
     
     

    MacKinnon approximate p-value for Z(t) = 0.1709

    Converting the non-stationary series into stationary

    In order to transform the non-stationary series into stationary, we use differencing method (computing difference between consecutive observations).
    We plot the data over time, ACF and PACF again as shown in Figure 5 below and figure 10 and 11 in appendix, respectively. From the figures, we can intuitively say that the transformed series is stationary. Further, we used Augmented Dickey-Fuller tests to ascertain the stationary of our series. Table 2 shows the result of the ADF test. The test statistic is significant at 1,5 and 10 per cent levels and the p-value is less than 0.05. We reject the null hypothesis of non-stationarity of our series. The tests confirm that the series is stationary.
     

    Dicky-Fuller test on first difference data

    Table 2

    —– Interpolated Dickey-Fuller —–
    Test statistic 1% critical value 5% critical value 10%critical value
    Z(t) -5.035 -3.576 -2.928 -2.599

    MacKinnon approximate p-value for Z(t) = 0.0000
     
     

    Figure 3


     
    Naïve model
    Naïve models are the simplest of forecasting models and provide a benchmark against which other more sophisticated models can be compared. Thus, a Naïve model serves as an ideal model to start any comparative analysis with. In a naive model, the forecasted values are simply the values of the last observation. It is given by
    y^t+h|t=yt.
    Forecast results from Naïve method are presented below in figure 4 and table1.
     

    Figure 4

     

     

    Table 1

     
         		 Point forecast Lo 80 High 80 Low 95 High 95
    Sept 8.35 4.861900 11.83810 3.0154109 13.68459
    Oct 8.35 3.417081 13.28292 0.8057517 15.89425
    Nov 8.35 2.308433 14.39157 -0.8897794 17.58978
    Dec 8.35 1.373799 15.32620 -2.3191783 19.01918

     
    Box-Jenkins Approach
     

    1. Identification of ARIMA (p, d, q) model

     
    The data was split into training and testing dataset in 80:20 ratio. The training data was used for estimating the model, while the model was tested on the remaining 20 percent data. This is done in order to forecast the future values of the time series data.
    p, d and q in (p, d, q) stand for number of lags, difference and moving average respectively.
    The model best fitting the data was (0,1,3) as its Akaike Information Criterion (AIC) was the lowest amongst all the possible combinations of the order of the ARIMA model.
    The residuals from Arima model were found to be normally distributed, with a mean of 0.09 and zero correlation. This causes a bias in the estimates. To solve the problem of bias, we will add 0.09 to all forecasts. The ACF and line graph of residuals is attached in the appendix.
    After identification and estimation, several diagnostic tests were conducted to check if there were any uncaptured information in the model. Results of the diagnostics tests have been omitted from the article in interest of length.
     

    1. Forecasting

     
    The model that has been constructed was used to forecast unemployment rates for the next four months. The results are presented below in figure 5 and table 2.
     

    Figure 5

     

     
    Table 2

     
         		 Point forecast Lo 80 High 80 Low 95 High 95
    Sept 9.04 5.978858 11.93987 4.401073 13.51765
    Oct 9.77 5.183039 14.1951 2.797671 16.58054
    Nov 10.3 5.364191 15.06267 2.797157 17.62971
    Dec 10.3 5.280182 15.14668   2.668678   17.75819

     
    Exponential Smoothing method
    It is one of the most popular classic forecasting models. It gives more weight to recent values and works best for short term forecasts when there is no trend or seasonality in dataset. The model is given by:
    Ŷ(t+h|t) = ⍺y(t) + ⍺(1-⍺)y(t-1) + ⍺(1-⍺)²y(t-2) + …
    with 0<⍺<1
    As observed in the model, recent time periods have more weightage in the model and the weightage keeps decreasing exponentially as we go further back in time.
    The ⍺  is the smoothing factor here whose value was chosen to be 0.9 since it had the lowest RMSE among all other values.
    The forecast results are presented below:
     

    Figure 6


    Table 3

     
         		 Point forecast Lo 80 High 80 Low 95 High 95
    Sept 8.30 4.739288 11.87260 2.8512134 13.76068
    Oct 8.30 3.507498 13.10439 0.9673541 15.64454
    Nov 8.30 2.532806 14.07908 -0.5233096 17.13520
    Dec 8.30 1.700403 14.91149 -1.7963595   18.40825

     
    Holt Winters’ method
    The simple exponential function cannot be used effectively for data with trends. Holt-Winters’ exponential smoothing method is a better suited model for data with trends. This model contains a forecast equation and two smoothing equations. The linear model is given by:
    yt+h = lt + hbt
    lt  = αyt + (1-α)lt-1
    bt = β(lt-lt-1)+ (1-β)bt-1
    where, lt is the level (smoothed value).
    h is the number of steps ahead.
    bt is the weighted average of the trend.
    Just like the simple exponential smoothing method, lt shows that it is a weighted average of yt
    The α  is the smoothing factor here whose value was chosen to be 0.99 and  the β  value 0.0025 since they had the lowest RMSE among all other values.
    The forecast results are presented below:
     

    Figure 7


     
    Table 4

     
         		 Point forecast Lo 80 High 80 Low 95 High 95
    Sept 8.34 4.749288 11.9326 2.84121 13.84
    Oct 8.33 3.24 13.4243 0.54541 16.11977
    Nov 8.32 2.0800 14.5678 -1.2253 17.87316
    Dec 8.31 1.0963 15.53419 -2.725103   19.35565

     
    Evaluation
    To compare the models the two parameters chosen are:

    • Root mean square error (RMSE)
    • Mean absolute error (MAE)

    MAE is a measure of mean error in a set of observations/predictions. RMSE is the square root of the mean of squared differences between prediction and actual observation. RMSE is more useful when large errors are not desirable and MAE is useful otherwise.
    RMSE and MAE statistics for all the models are presented below:

    Naive ARIMA Exp Smoothing Holt Winters’
    RMSE 2.72 2.24 2.73 2.7
    MAE 1.05 1.034 1.06 1.05

     
    From the table it is clear that ARIMA/Box Jenkins method has both the lowest RMSE and MAE among the models under consideration while Exponential smoothing method has the highest MAE and RMSE among all.
    Therefore, the unemployment rate forecasts as per the Box Jenkins method for the next four months are:
     

    Sept 9.04
    Oct 9.77
    Nov 10.3
    Dec 10.3

     
    The way ahead?

    • The unemployment rate is expected to rise in the coming months. This is a bad sign for an economy that is already suffering.
    • With GDP forecasts getting lower and lower for the current financial year, the govt needs to act quick to mitigate the potential damage.
    • It is impossible to correctly ascertain the total impact of covid-19 on the economy and the range of the impact, but it is safe to say that we will be seeing the effects for a long time to come in some form or other.
    • We might see more and more people slip into poverty, depression, increased domestic violence and with potentially long term impact on human development parameters like child mal-nutrition, enrolment rates etc among other things.

    Some possible solutions

    1. Expansionary monetary policy: It is a common tool of dealing with high unemployment rate in the short term. Under expansionary monetary policy, the central bank reduces the rate of interest on which it lends money to the banks, subsequently the banks lower their rates which leads to a higher amount of loans being taken by business owners. This extra capital helps businesses to hire more workers and expand production, which in turn reduces unemployment rate.
    2. Expansionary fiscal policy: Under expansionary fiscal policy the government increases its spending, particularly in the infra-structure sector. It spends more money to build dams, roads, bridges, highways etc. This increased spending leads to an increase in employment as these projects require labour.
    3. Expand the scope of NREGS to urban areas permanently and a higher minimum wage for all : NREGS has proved to be really effective in alleviating poverty, improving quality of life and decreasing unemployment rate in rural areas. Given the unprecedented circumstances, the govt can consider expanding its scope to urban areas, so that it could provide employment to the millions of unemployed workers there. This increase in expenditure could also help the govt revive consumer demand, which is essential if we want to help the GDP get back on track.
    4. A stimulus package aimed at putting money into the hands of the poor :

    The govt should also consider providing at least a one-time transfer of funds to people just like the US govt did. Such a transfer of putting money directly into the hands of the poor is the most effective way of reviving consumer demand in the economy and many economists around the world have been calling for such a plan to be implemented. There is no better way of increasing consumer expenditure other than putting money into the hands of cash-starved people.
     
    Appendix:
     

    Figure 8


     

    Figure 9

     

    Figure 10

     

    Figure 11

     

    Figure 12

     

    Figure 13

     
     

  • Living Next to China: India’s Economic Challenge

    Living Next to China: India’s Economic Challenge

    Abstract

    Hampered by declining economic growth, India needs to take bold and practical economic measures to overcome the adverse impact of the coronavirus pandemic, compounded by past economic blunders such as the demonetisation and the haphazard implementation of the GST regime. Mohan Guruswamy analyses that the seeds of the current economic slide were sown by the UPA II regime by its populist measures that were wasteful, unproductive, and reduced capital expenditure. Non action by the NDA governments on these issues has made it worse. He argues that India must not shy away from recourse to deficit financing to overcome the current unprecedented challenges faced by the economy on account of the Covid-19 disruption. India needs to increase its stimulus package from a mere 0.3% of the GDP to at least 10% to boost economic revival and growth. India’s reserves of $490 billion ($530 billion as of recent figures) is available to be tapped for economic revival. The measures must focus on addressing the severe impact on weaker sections of the society such as the poor, lower middle-class, and the farmers.

    The Covid2019 shock hit all world economies and has caused a serious contraction in all of them. Ironically, in the advanced economies like the USA, UK, Japan, and others, it exposed their intrinsic strengths with highly evolved social security systems by and large being able to absorb the labor displacement and the ability to quickly put together a fiscal fight back plan. Even China has been able to quickly recover its pole position as the worlds leading exporter and industrial production center. In India, Covid2019 exposed our co-morbidities, and has further opened the traditional faultlines, with the large unorganized labor cohort bearing the brunt of the costs. At last count the CMIE estimates over 130 million daily wagers in the urban centers being rendered jobless and homeless.[i] India’s economy which has been in distress for most of the last decade in now seriously stricken.

    When India’s economic history is written in some future date, and when a serious examination is done of when India lost its way to its ‘tryst with destiny’, the decade of 2010-20 will be highlighted.

    When India’s economic history is written in some future date, and when a serious examination is done of when India lost its way to its ‘tryst with destiny’, the decade of 2010-20 will be highlighted. The facts speak for themselves. India’s real GDP growth was at its peak in March 2010 when it scaled 13.3%.  The nominal GDP at that point was over 16.1%. The nominal GDP in September 2019 was at 6.3%, it’s lowest in the decade. Since then the downward trend is evident and we are now scraping the bottom at about a real GDP growth rate of 4.5%, this too with the push of an arguably inflationary methodology. Our previous CEA, Arvind Subramaniam, estimated that India’s GDP growth is overestimated by at least 2.5%. BJP MP and economist Subramaniam Swamy was even more pessimistic. He estimated it to be 1.5%.

    The decline in the promise is amply evident by the change in the make up of the economy during this decade.  In 2010 Agriculture contributed 17.5% of GDP, while Industry contributed 30.2% and Services 45.4%.  In 2019 that has become 15.6%, 26.5% and 48.5% respectively.  The share of industry has been sliding.  This is the typical profile of a post-industrial economy.  The irony of India becoming post-industrial without having industrialized must not be missed.

    Decline in Capital Investment

    The most significant cause for the decline of growth is the decline in capital investment.  It was 39.8% of GDP in 2010 and is now a good 10% lower.  Clearly without an increase of capital investment, one cannot hope for more industrialization and hence higher growth.  What we have seen in this decade is the huge increase in Services, which now mostly means increase in Public Administration and informal services like pakora sellers.

    In 2010 it seemed we were well on track.  But now we are struggling to get past $3 trillion, and the $5 trillion rendezvous that Modi promised by 2024 will have to wait longer.

    At the turn of the century, as China’s GDP began its great leap forward (from about $1.2 trillion in 2010 to $14.2 trillion in 2019), was also a heady moment for India whose GDP of $470 billion began a break from the sub 5% level of most of the 1990’s to the rates we became familiar with in the recent past (to hit a peak stride of 10.7% in 2010). At that point in time, if growth rates kept creeping up, we could have conceivably gone past $30 trillion by 2050. But for that the growth rate should consistently be above 7%. It seemed so feasible then.  In 2010 it seemed we were well on track.  But now we are struggling to get past $3 trillion, and the $5 trillion rendezvous that Modi promised by 2024 will have to wait longer.

    To be fair to Modi and the NDA, the decline began early in the second term of the UPA when capital expenditure growth had begun tapering off.  Dr. Manmohan Singh is too canny an economist to have missed that.  But UPA II also coincided with the increasing assertion of populist tendencies encouraged by the Congress President and her extra-Constitutional National Advisory Council. The decline in the share of capital expenditure was accompanied by a huge expansion in subsidies, most of them unmerited.  Instead of an increase in expenditure on education and healthcare, we saw a huge expansion in subsidies to the middle and upper classes like on LPG and motor fuels. Even fertilizer subsidies, which mainly flow to middle and large farmers with irrigated farmlands, saw a great upward leap.  Clearly the money for this came from the reduction in capital expenditure.  Modi’s fault in the years since 2014 is that he did nothing to reverse the trend, and only inflicted more hardship by his foolish demonetization and ill-conceived GST rollout.

    The realities are indeed stark.  The savings/GDP ratio has been in a declining trend since 2011 and Modi has been unable to reverse it.  Consequently, the tax/GDP ratio and the investment/GDP ratio have also been declining.  The rate of economic growth has been suspect and all objective indicators point to it being padded up. The drivers of economic growth such as capital expenditure is dismal.  Projects funded by banks have declined by over half since 2014 to less than Rs.600 billion in 2018-19.  Projects funded by the market have dropped to rock bottom.  Subsequently the manufacturing/GDP ratio is now at 15%.  Corporate profits/GDP ratio is now at a 15-year-old low at about 2.7%.  You cannot have adequate job creation if these are dipping.  Declining rural labor wage indices testify to this.

    Between October 2007 and October 2013 rural wages in the agricultural and non-agricultural sectors grew at 17% and 15%, respectively.  Since November 2014, however, agricultural and non-agricultural sector wages grew at only 5.6% and 6.5%, respectively. In 2019 average rural wage growth has further fallen to 3.1%.[ii]

    Bharat and India Divide

    It is very clear now that the urban lane has been moving well in India.  Indeed, so well that an Oxfam study revealed that that as much as 73% of the growth during the last five years accrued to just 1% of the population.[iii] This does not mean it is just the tycoons of Bombay and Delhi who are cornering the gains.  Government now employs close to 25 million persons, and these have now become a high-income enclave.  The number of persons in the private and organized sector is about another ten million. In all this high-income enclave numbers not more than 175-200 million (using the thumb rule of five per family).  Much of the consumption we tend to laud is restricted to just these.

    The simple fact that the share of Agriculture is now about 15.6% of GDP and falling, while still being the source of sustenance for almost 60% of the population reveals the stark reality.  A vast section of India is being left behind even as India races to become a major global economy.

    Agriculture is still the mainstay of employment.  Way back in 1880 the Indian Famine Commission “had observed that India had too many people cultivating too little land”.  This about encapsulates the current situation also.  While as a percentage the farmers and farmworkers have reduced as a part of the work force, in absolute terms they have almost tripled since 1947.  This has led to a permanent depression in comparative wages but has also led to a decline in per farmer production due to fragmentation of holdings.  The average farm size is now less than an acre and it keeps further fragmenting every generation.[iv] The beggaring of the farming community is inevitable.  The only solution to this is the massive re-direction of the workforce into less skilled vocations such as construction.

    The simple fact that the share of Agriculture is now about 15.6% of GDP and falling, while still being the source of sustenance for almost 60% of the population reveals the stark reality.  A vast section of India is being left behind even as India races to become a major global economy.

    As the decade ends, the Bharat and India divide have never been more vivid.  Our social scientists are still unable to fix a handle to this because the class, cultural and ethnic divides still eludes a neat theoretical construct.  Yet there can be little disagreement that there are two broad parts to this gigantic country and one part is being left behind.  The distance between the two only increased from 2010 to 2020.  This is indeed the lost decade.  Recovering from this will take long and will be painful.  If we take too long, we might have used up a good bit of the ‘demographic dividend’ and the demographic window of opportunity.  The ageing of India will be upon us by 2050[v].

    Covid-19 Impact – Increasing Economic Disparities 

    In the recent months the onslaught of the Covid2019 induced lockdown has been quite relentless.  From 2004-2014 India’s GDP grew at an average of 7.8%.  At its peak it went past 10% in 2010-11 Then it started slowing down.  The new government was unable to return to the old growth rates because it did not care to learn from the experiences of the previous regime, which began to spend more on giveaways, misguidedly thinking it was welfare economics, and took the accelerator off capital expenditure.  Even though capital expenditure is driven in India by government spending, this government spending is very different from subsidies and giveaways.  Subsidies generally tend to be misdirected with the already well-off garnering most of it.  Minimum Support Prices (MSP) are a huge annual subsidy[vi]and 90% of it accrues to the states of Punjab, Haryana, and the coastal region of Andhra Pradesh.  Fertilizer subsidies tend to accumulate to the advantage of large and medium farmers or to about a quarter of all land holdings.  Ditto for free power.  The only welfare expenditure to benefit farmers is investment in irrigation, rural infrastructure, and social welfare like education and health.  Unfortunately, this has been on the decline.  This has exacerbated disparities, both local and regional.  With capital expenditures declining, job creation suffered and the inevitable slowdown of GDP growth happened.  As we started diving, the government inflicted the so-called Demonetization adding to our woes.  Just as things began to look up, the Covid2019 pandemic overtook us.

    Now the only dispute on national income is how much will be the contraction.  The Finance Ministry hopes there won’t be any. The IMF has officially said it will be 4.5%.  The rating agencies predict a contraction of 6.8%, while many more are suggesting something closer to 10%.  How do we deal with is now?  The government of India has tended to be “conservative” in its outlook and has made no serious suggestion on economic stimulus.  What it calls a stimulus is actually not a stimulus. The problem is more philosophical.

    The divide between the Keynesians and the Chicago school is as intense and often antagonistic as the Sunni-Shia, Catholic-Protestant or Thenkalai-Vadakalai Iyengar divides.

    Keynesian economics is a theory that says the government should increase demand to boost growth. Keynesians believe consumer demand is the primary driving force in an economy.  As a result, the theory supports expansionary fiscal policy.  The Chicago School is a neoclassical economic school of thought that originated at the University of Chicago in the 1930s.  The main tenets of the Chicago School are that free markets best allocate resources in an economy and that minimal or zero government intervention is best for economic prosperity.  They abhor fiscal deficits.

    Inadequate Stimulus Package 

    The instruments used to beat countries like India into submission are ratings agencies such as Moody’s, which just downgraded India.  We shouldn’t lose too much sleep over it.  India is a hardly a borrower abroad and is more of a lender holding $490 billion as reserves.

    The only reason why the actual stimulus package is only Rs.63K crs is the obsession with fiscal deficits by Chicago economists such as Raghuram Rajan and his former student the hapless Krishnamurthy Subramaniam, the present CEA. They are true disciples of the Washington Consensus to judge countries like India by the fiscal deficit size.  The instruments used to beat countries like India into submission are ratings agencies such as Moody’s, which just downgraded India.  We shouldn’t lose too much sleep over it.  India is a hardly a borrower abroad and is more of a lender holding $490 billion as reserves.

    That is why the CEA when asked about a big stimulus said: “There are no free lunches!” That’s exactly what Milton Friedman said. But they quite happily ignore the biggest deficit financed economy in the world is the USA.  Raghuram Rajan told Rahul Gandhi on his videoconference that a stimulus of Rs.65K crores would suffice in the present situation[vii]. The Nobel Laureate Abhijit Bhattacharya and former CEA Arvind Subramaniam suggest a stimulus package like the USA or Japan[viii].  The USA has just announced a stimulus of over $3.5 trillion or over 15% of GDP.  Modi’s stimulus is a mere 0.3% of GDP.

    What is ‘Fiscal Deficit?’ A fiscal deficit occurs when a government’s total expenditures exceed the revenue that it generates, excluding money from borrowings.  Deficit differs from debt, which is an accumulation of yearly deficits.

    Many serious economists regard fiscal deficits as a positive economic event.  For instance, the great John Maynard Keynes believed that deficits help countries climb out of economic recession.  On the other hand, fiscal conservatives feel that governments should avoid deficits in favor of balanced budgets.

    India’s debt/GDP ratio is by contrast a modest 62% and yet it intends to pump in a mere 0.3% of GDP as stimulus.

    The fastest growing economies in the world, and now its biggest – USA, China, Japan and most of Western Europe – have the highest debt/GDP ratios.  Japan’s debt/GDP is over 253% before the latest stimulus of 20% of GDP.  China’s debt is now over 180% of its GDP.  The USAs debt/GDP is close to 105% yet it is raising $3 trillion as debt to get it out of the Covid2019 quagmire.  India’s debt/GDP ratio is by contrast a modest 62% and yet it intends to pump in a mere 0.3% of GDP as stimulus.

    Pump priming the economy by borrowing per se is not bad.  It is not putting the debt to good use that is bad.  Nations prosper when they use debt for worthwhile capital expenditure with assured returns and social cost benefits.  But we in India have borrowed to give it away as subsidies and to hide the high cost of government.  To give an analogy, if a family has to make a choice of borrowing money to fund the children’s education or to support the man’s drinking habit, the rational choice is obvious. The children’s education will have a long-term payback, while the booze gives instant gratification. But unfortunately, our governments have always been making the wrong choices.

    If borrowed money is used productively and creates growth and prosperity, it must be welcomed.  What we want to hear from the government is not about fiscal deficit targets, but economic growth, value addition, employment, and investment targets.  Our governments have hopelessly been missing all these targets.

    Modi’s Options – Need for Bold Decisions

    So, what can Modi do now to get us out of this quagmire?  If the regime abhors a stimulus financed by deficit financing there are other options that can be exercised.  But he is hamstrung with a weak economic management team with novices as the two key players, the Finance Minister and RBI governor.

    India has over $490 billion nesting abroad earning ridiculously low interest.  Even if a tenth of this is monetized for injection into the national economy, it will mean more than Rs.3.5 lakh crores.  At last count the RBI had about Rs.9.6 lakh crores as reserves.  This is money to be used in a financial emergency.  We are now in an emergency like we have never encountered or foresaw before. Even a third of this or about Rs.3.2 lakh crores is about five times the present plan.

    There is money in the trees, and all it needs is a good shake up to pick the fruits. The pain of the lockdown must not be borne by the poor alone.  The government can easily target 5% of GDP or about Rs.10L crores for the recovery fund as an immediately achievable goal.

    There are other sources of funds also, but tapping these will entail political courage and sacrifices. Our cumulative government wages and pension bill amounts to about 11.4% of GDP.  After exempting the military and paramilitary, which is mostly under active deployment, we can target 1% of GDP by just by cancelling annual leave and LTC, and rolling back a few DA increases.

    The government can also sequester a fixed percentage from bank deposits, say 5% of deposits between Rs.10-100 lakhs and 15-20% from bigger deposits for tax-free interest-bearing bonds in exchange.  The ten big private companies alone have cash reserves of over Rs.10 lakh crores[ix].

    There is money in the trees, and all it needs is a good shake up to pick the fruits. The pain of the lockdown must not be borne by the poor alone.  The government can easily target 5% of GDP or about Rs.10L crores for the recovery fund as an immediately achievable goal.

    This money can be used to immediately begin a Universal Basic Income scheme, by transferring a sum of Rs.5000 pm into the Jan Dhan accounts for the duration of the financial emergency; fund GST concessions to move the auto and engineering sectors in particular; begin emergency rural reconstruction projects to generate millions of new jobs and get our core infrastructure sectors like steel, cement and transportation moving again.

    Getting money to move India again is not a huge problem.  What comes in between are the philosophical blinkers.  Call it Chicago economics or the Gujarati mindset.

    Notes

    [i] https://www.businesstoday.in/sectors/jobs/india-unemployment-rate-hits-26-amid-lockdown-14-crore-lose-employment-cmie/story/401707.html

    [ii] https://www.financialexpress.com/economy/farm-wages-growth-fell-to-a-four-quarter-low-in-q3-fy-20/1789235/

    [iii] https://economictimes.indiatimes.com/news/economy/indicators/wealth-of-indias-richest-1-more-than-4-times-of-total-for-70-poorest-oxfam/articleshow/73416122.cms?from=mdr#:~:text=Wealth%20of%20India’s%20richest%201%25%20more%20than%204%2Dtimes%20of,total%20for%2070%25%20poorest%3A%20Oxfam&text=The%20Oxfam%20report%20further%20said,particularly%20poor%20women%20and%20girls.

    [iv] https://www.prsindia.org/policy/discussion-papers/state-agriculture-india

    140 million hectares of land is used as agricultural area, as of 2012-13.  Over the years, this area has been fragmented into smaller pieces of land.  As seen in Table 3, the number of marginal land holdings (less than one hectare) increased from 36 million in 1971 to 93 million in 2011.  Marginal and small land holdings face several issues, such as problems with using mechanization and irrigation techniques.

    [v] https://economictimes.indiatimes.com/news/politics-and-nation/demographic-time-bomb-young-india-ageing-much-faster-than-expected/articleshow/65382889.cms

    [vi] https://www.thehindubusinessline.com/opinion/all-you-wanted-to-know-about-minimum-support-price/article7342789.ece

    [vii] https://www.hindustantimes.com/india-news/in-video-conversation-with-rahul-rajan-suggests-65k-crore-aid-for-poor/story-CtrtvW6HErR16L9m1t9wHP.html

    [viii] https://economictimes.indiatimes.com/news/economy/policy/rahul-gandhi-in-conversation-with-abhijit-banerjee-india-needs-a-bigger-stimulus-package-like-us-japan-to-revive-economy/videoshow/75549770.cms

    [ix] https://www.screener.in/screens/2551/Cash-Rich-Companies/

     

    Image credit: Adobe Stock

  • The Catalysing Effect of Covid-19 on the Changing World Order

    The Catalysing Effect of Covid-19 on the Changing World Order

    Contrary to the realist belief, international states co-exist in a world order of hierarchy rather than anarchy. Ikenberry presents this hierarchical world order and the cyclical rise and fall of hegemonic powers. Early 20th century witnessed the shift from Pax-Britannica to Pax-Americana that was complete by 1945, from which point the US defended its position during the Cold War with the erstwhile USSR. It exercised its hegemonic influence even more aggressively after the Cold War. However, US dominance of the world order has been diminishing owing to the Trump administration’s isolationist approach to foreign policy, and the increasing influence of China in world politics. This article examines the catalysing effect of Covid-19 and the rise of China on the current World Order.

    Trump’s policy of disregarding multilateralism and imposing its unilateralism on the world has catalysed into an involuntary retreat, protectionism, and isolationism for the USA with dire consequences for its foreign policy effectiveness.

    Trump’s policy of disregarding multilateralism and imposing its unilateralism on the world has catalysed into an involuntary retreat, protectionism, and isolationism for the USA with dire consequences for its foreign policy effectiveness. The net result is that the world is witnessing an abdication of leadership by America in a world disrupted by the Covid-19 pandemic. A clear pattern of isolationism can be seen in various actions of the Trump Administration since it’s assumption of the Office. In 2017, the US withdrew from the Paris Agreement, in 2018 it unilaterally reneged from the JCPOA, re-imposed sanctions on Iran and threatened sanctions on allies who supported Iran. In 2019, it withdrew troops from Syria, which led to subsequent Turkish incursion on Rojava Kurds, and in early 2020 it negotiated with the Taliban to enable withdrawal of US troops from Afghanistan. With the onset of Covid19 global pandemic, the Trump administration has accused the WHO of protecting China. In a unilateral action not endorsed by its allies, USA first stopped its funding for WHO and then terminated its relationship with the UN institution. This comes as a blow to multilateralism since the US was WHO’s largest donor, contributing about $440 million yearly. In addition to this, the US has failed to provide the lead in the global response to tackle the virus despite its initiatives in the past pandemics such as H1N1, Ebola and the Zika virus. The US was absent from the WHO initiative – Global Coronavirus Response Summit (before its withdrawal from the association). In addition, the US has been unable to provide external aid to combat the virus due to domestic shortages, which explains its restraint to guide an international response in the absence of a coherent domestic plan of action. Thus, the coronavirus pandemic has acted as a catalyst in increasing the pace of US isolationism from world politics.

    China has turned the tide on its previous missteps in containing the virus by publicising its governance model as the most effective way to combat the pandemic.

    Meanwhile, the pandemic has established firmly China’s rise in the international stage. Though China is facing backlash for suppressing details about the virus, it is battling to overcome this criticism by providing international aid and stepping up to lead a global response using Beijing’s success as a template to overcome the novel virus. China has contributed significantly to the global response by providing materials such as ventilators, respirators, masks, protective suits and test kits to Italy, Iran, Serbia, and the whole of Africa. Grabbing its opportunities to lead international responses, China hosted Euro-Asia conference, participated in the Global Coronavirus Summit where it pledged an emergency funding of $20 million to WHO, and pledged $ 2 billion to the WHO (equalling its annual budget) to be disbursed over the next two years, thus contrasting sharply with the US behaviour of withdrawing from the WHO. China has turned the tide on its previous missteps in containing the virus by publicising its governance model as the most effective way to combat the pandemic. It continues to highlight the inadequacies and shortfalls in healthcare systems of the western world as against the success of its governance model, Beijing Consensus, and variations of it in East Asia. It is clear that China has seized the Covid-19 pandemic as a huge opportunity to establish its global leadership.

    Taking advantage of the global disarray due to the pandemic, China has taken strong actions to deflect global criticism of its initial handling of the virus. Two prominent examples of this being, European Union watering down the report on Covid19 disinformation owing to pressure from Beijing, and the passing of the controversial Hong Kong security law. While the US has taken initiative in cracking down on China by repealing the special privileges to Hong Kong, other countries were cautious in retaliating against China significantly and limited their actions to sympathetic support for pro-democracy protestors. The exception to this was Britain, which offered UK citizenship to British National Overseas Passport holders in Hong Kong, despite seriously offending China. Despite the global backlash against Chinese diplomacy in the form of generous aids, international actors have expressed limited concerns through action against Chinese domination. This is due to the circumstantial mismatch in global balancing against China’s rise. The US uses unilateral actions and ‘expects’ its allies to follow, while its allies despite their serious concern over China’s rise, remain vary of following in the American footsteps. This is because US allies treat coronavirus as an immediate threat as opposed to China’s rise. The US being a status quo power is more threatened by China’s rise since it posits as a revisionist state. However, in view of China’s proactive efforts in leading global contributions to battle the coronavirus, US allies remain tolerant of China’s dominance.

    The passive and fractured response to China’s aggressive exploitation of the pandemic to establish its global leadership is a concern for India. The recent setting up of Chinese military camps in Indian controlled territory of Ladakh is a manifestation of China’s complex strategy. India has, true to its traditional policy, opted out of involving the United Statesin the ‘bilateral issue. However, it would be beneficial to be united in balancing against China’s rise. While it is necessary to work together to utilise Global Supply Chains (GSC) during the pandemic to battle the coronavirus pandemic, it is equally important to look at global balancing against China to ensure its compliance to rules-based world order. Since China’s power is derived from its economic strength, balancing strategy against China should focus on trade and economy. Chinese foreign policy depicts a pattern of economic coercion to reward or punish its counterparts. This can be tackled through concerted global action. India is, as one of the largest producer of pharmaceuticals, playing a crucial role in global efforts to fight the pandemic by providing Hydroxychloroquine globally. However, given that most raw materials are sourced from China, balancing against China requires a favourable movement of GSC diversification. US-China trade war has, encouraged companies to move production out of China and into Asian countries such as Vietnam and Taiwan. As a result of the coronavirus crisis and the global backlash, companies look to further diversify their resources and supply chains. India and other Asian countries could benefit from this if they adapt their policies suitably.

    Global backlash against China’s handling of the virus in Wuhan is still a challenge for China’s geopolitical strategy. Its foreign policy is seen more as displaying aggressive and coercive approach than persuasive diplomacy.

    It is difficult to estimate whether China would aspire for hegemonic leadership. Global backlash against China’s handling of the virus in Wuhan is still a challenge for China’s geopolitical strategy. Its foreign policy is seen more as displaying aggressive and coercive approach than persuasive diplomacy. Given the current volatile scenario most countries have, in the absence of US leadership, increased their dependence on China as it is now the largest provider of aid. While all this tips the scale in China’s favour, it’s hegemonic ambitions can be countered through trade strategies as its weakness stems from the fact that it is a hugely export driven economy. Global diversification of supply chains would reduce the world’s increasing dependency on Chinese manufacture and products. The world will need to be cautious as the pandemic has provided China an opportunity to tighten its grip on the global economy as the world’s workshop and technology provider. Here on, international efforts to bandwagon or balance will become a decisive factor in determining China’s rise to apex position in the world order.

     

  • Covid 19: India uses Crisis to bring-in Economic Reforms as Package

    Covid 19: India uses Crisis to bring-in Economic Reforms as Package

    India’s four-phase lockdown of 68 days to deal with the Covid-19 threat has, while slowing the spread of the virus, come at huge economic costs. The lockdown for a vast majority of the people is, undoubtedly, the harshest in the world.

    The coronavirus triggered lockdown and its ensuing series of extensions have disrupted more than 60 percent of economic activities in the country, posing a huge threat to the  economy. The crisis was underway when the global economy was slowing down and India, in particular, had to deal with a poor health care system and an economy already under distress. Unemployment rate is estimated to be around 27 percent post lockdown and has resulted in nearly 12.2 crore people losing their jobs. In addition, a  severe slump in consumer demand is expected to persist for the next few quarters. Almost 85 percent of India’s workforce is engaged in the informal sector – quite naturally the government is under stress to implement effective policy reforms to counter the downturn. 

    In response to the contraction in the economy, the Prime Minister has announced a second round of economic package that stands at roughly around 10 percent of the Gross Domestic Product. The USA and Japan have announced relief packages of 13 and 21 percent of their GDP respectively. In comparison, India has seemingly provided a substantial Rs 20 lakh crore stimulus- highlighting the concept of ‘self-reliance’ as a way forward to deal with the economy post the pandemic. The stimulus package includes previous steps taken by RBI such as moratorium on loan repayments, interest rate cut, etc. In the five tranches of the stimulus package, the Finance Minister has announced a slew of measures to address the structural issues of Indian economy. However, it is estimated that the immediate fiscal boost will be only around 1 percent of GDP and most of the fiscal and monetary policies will attract long term capital with medium run  stabilization of the economy.

     

    Micro Medium and Small Scale Enterprises 

    Focusing on reviving the small businesses and micro enterprises, under this tranche Rs 3 lakh crore is allocated for collateral free loans for business enterprises. This package is estimated to be around Rs 5.94 lakh crore including RBI measures to improve liquidity in the economy. However, the direct fiscal cost for the government is around Rs 16,500 crore. For the stressed MSME units, the central government is planning to facilitate Rs 20,000 crore as subordinate debt and Rs 50,000 crore through equity infusion. Non Banking Finance Companies (NBFC) that serve the MSMEs will receive Rs 30,000 crore under investment guarantee scheme. While the six broad measures look attractive, the MSME sector in India is dominated by micro enterprises that are largely unregistered. However, these measures will not immediately benefit the micro business units with necessary working capital. Most of the enterprises and small business units are cash strapped and are on the verge of disappearing. Ninety-nine percent of the sector comprises micro enterprises – businesses with less than 10 working employees.

    Most of the enterprises and small business units are cash strapped and are on the verge of disappearing. Ninety-nine percent of the sector comprises micro enterprises – businesses with less than 10 working employees. 

    While the government has taken supply side measures to incentivize businesses, two important challenges remain intact. One, the large number of unregistered micro businesses might not benefit from the credit line offered by the government. Two, if the demand recovers slowly, it is likely the business sector especially small enterprises will suffer despite credit being infused. It is important to note that the supply and demand side has to be revived at the same rate to ensure sustainability of the MSME business. 

     

     

    Migrant labourers and Farmers: 

    Second stimulus of the Finance minister’s announcement was focused on migrant labourers and farmers. Close to 150 million internal migrants are present in India according to the latest census report.  Rs 3500 crores is to be spent on migrant labourers not covered under the Public Distribution System (PDS). Rs 5000 crore is set aside to facilitate easy access to street vendors. Funds worth Rs 6000 crore is planned for enhancing employment among adivasis and tribal groups. For the next two months, around 8 crore migrant labourers not covered under PDS will be provided 5kgs of grains per person and 1 kg chana per family in a month. ‘One Nation One Ration Card’ is a welcome move given the leakages present in the PDS, but the national coverage of this scheme is expected only by March 2021.  Additionally, in the National Food Security Act, 2013 , based on the 2011 census data, it is estimated that around 100 million people do not fall under this safety net accounting for growth in population over the past decade. The initiative to record and track the data on unregistered labourers is important for fiscal stimulus response to a COVID hit economy. National portability of ration cards is important but the execution is time consuming and does not address the problem of people being excluded from the ration card system. Universalizing PDS and decentralizing decisions to achieve food security with an efficient supply chain should be an immediate intervention. States with higher migrant labourers and people with less access to PDS should be targeted to universalise food distribution.  Acknowledging the shortcomings of the PDS and food supply channel, an emergency plan to ensure food supply to people below poverty line for the next six months needs to be prioritised.

     

    ‘One Nation One Ration Card’ is a welcome move given the leakages present in the PDS, but the national coverage of this scheme is expected only by March 2021. 

     

    Agriculture and Allied activities:

    Under the third tranche of the economic stimulus package, the government has taken bold measures to invest in agriculture and allied activities. Total package announced was worth Rs 1.63 lakh crores – relatively less compared to earlier stimulus packages. The main focus was on enhancing agriculture infrastructure, financing farm gate produce and improving post harvest supply.  A series of other funds were allocated for disease control for animal husbandry, promotion of herbal products and fisheries. Rs 10,000 crore was unveiled to support 2 lakh Micro Food Enterprises on a cluster based approach. 

    Lack of cold storage and supply chain was identified by the government to create an Agriculture Infrastructure Fund of Rs 1 lakh crore. A big push for agriculture reforms was spelled out by the decision to deregulate six commodities including cereals, pulses, oil and vegetables by amending  the Essential Commodity Act, 1955.

    Many experts believe the reforms undertaken were long due for India to enhance productivity of the agriculture  sector. But deregulation of essential products during the time of lockdown with poor food supply chains might not be beneficial especially for marginal farmers.  Almost 92 percent of the Food Supply Chain is controlled by the private sector and most of the farmers are not informed about Minimum Support Price and adopt unscientific farming practices. With liquidity constraint in the economy, demand for essential food is substantial. Factoring the drawbacks of PDS in supplying food items to the bottom section – a high probability of market failure is underway potentially hurting both farmers and consumers. Except for concessional credit for farmers and agriculture loans, the package has  limited scope to reduce the distress faced by the agrarian sector in near future. As far as the reforms are concerned, there was a clear bias towards post harvest investment. However, the productivity and scale of production has been the biggest problem in India that requires effective land reforms. India’s agriculture sector also suffers without adequate investment in Technology and Research & Development. During an unprecedented crisis, Indian government is pushing for big reforms but the structural issues of marginal-land farming are largely ignored. Even as a reform package─it is evident that it is likely to benefit primarily large farmers in the medium term.

    Except for concessional credit for farmers and agriculture loans, the package has  limited scope to reduce the distress faced by the agrarian sector in near future.

     Infrastructure, Defence  & Aerospace 

    Under this package, eight key sectors: coal, minerals, defence production, aerospace management, airports, power distribution, space and atomic energy were in the spotlight. In an effort to boost employment, a proclamation of structural reforms was stated in the fourth  tranche. The coal and mining industry is expected to receive an infrastructure development fund – making the sector self-reliant in production. The Foreign Direct Investment limit in defence has been increased from 49 percent to 74 percent to encourage foreign investment in production. In the aviation industry, India decided to open up 6 airports for auction. Additionally, three airports are to be operated under the Public Private Partnership model. Optimization of air space, building a hub for aircraft maintenance and overhaul are some of the important measures covered under this package. 

    Privatization and Globalization (New Economic Policy, 1991)- COVID-19 crisis has offered a space for the government to initiate certain radical measures to privatise a few industries.

    Private partnerships in the areas of space exploration and atomic energy offers an immense potential for private companies to get incubated for research and development. Sharing an economic pressure similar to the 1991 Balance of Payment crisis that resulted in Liberalization, Privatization and Globalization (New Economic Policy, 1991)- COVID-19 crisis has offered a space for the government to initiate certain radical measures to privatise a few industries. The measures will undoubtedly help the business ecosystem in India to develop in the medium term.  Though there seems to be a claim about substantial job creation this is not likely to happen immediately. 

    Rural Employment & Public Health

    In the final announcement, Rs 40,000 crore was allotted to Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) to replace direct transfer from central government to migrant workers. Inadequate data about inter state informal labourers has placed limitations on policy formulation during the time of crisis. Under the Pradhan Mantri Garib Kalyan Yojna, Rs 50 lakh per person insurance cover will be applicable for health professionals. To ensure ease of doing business, non adherence to the Companies’ Act will be decriminalised. The government also committed to increasing health expenditure to face pandemics in the future. The finance minister also encouraged companies to entertain the idea of digital India to conduct meetings and businesses online. 

    The last two announcements together accounted for Rs 48,500 crore and experts criticize that most of them do not provide immediate relief for the people in distress. 

    Conclusion

    India has evidently seized the opportunity during the crisis to introduce reforms to boost the economy in the long run. The reform package undoubtedly is impressive on paper but in terms of immediate support to various sectors in distress it offers little. For example, a large part of the package – Rs 8.04 lakh crore- is additional liquidity injected by monetary policy in the last three months.  An investment bank has predicted that India will face a deeper recession in the short term but the economic stimulus would help the economy after a few quarters. As a consequence the real growth rate is to drop down by 5 percent year-on-year in 2020. Even after a massive package, the situation of poor and middle-class people remains bleak. The reforms might bear fruits in future but deferring the policy response to address current challenges will manifest into huge burden on vulnerable sections of the people. Current economic crisis has undoubtedly offered the central government to take advantage of the weak bargaining power of the stakeholders to push reforms but low attention is paid to immediate distress.

    The author was supported by Ms S P Bharani, on summer internship at TPF.

    Image Credit: Adobe Stock

  • Lebanon’s Economic Crisis and Political Unrest

    Lebanon’s Economic Crisis and Political Unrest

    The Lebanon crisis illustrates the outcome of an inefficiently regulated market economy, shaped by long-term instant gratification of economic policies. Economy is run by corrupt institutions with ingrained crony capitalism, bureaucratic regulations and over-reliance on foriegn exchange.

    Lebanon is a free market economy in West Asia, bordered by Syria and Israel and the Mediterranean Sea, and hence, was a frequent recipient of spillovers of unrest and refugee crisis from the neighbouring countries. It is a service-sector dominated (majorly, banks and tourism) economy with a GDP of $56.9 billion─ growth rate of 0.2%, compared to 0.6% the previous year and a workforce of 2.4 million out of which 30 percent include Syrian refugees. The country relies heavily on imports (consumer goods, machinery and equipment etc) with a low dependence on exports (vegetables, non-precious metals and textiles). For years, Lebanon used foreign remittances such as transfers from non-resident Lebanese, foreign deposits and high government loans to balance the trade deficit. Lebanon exchange rate had been kept fixed at 1500 pounds per dollar which was also a fiduciary currency in Lebanon. Thus the higher demand for dollars to fixate the exchange rate, and meet the domestic demand for dollars, is levelled using foreign deposits by offering high yield rates, which had to be further funded by more deposits at even higher interest rates. These faulty policies had sustained the economy until interest payments had snowballed into heavy burden.

    Figure 1: trend of GDP per capita in Lebanon

    Source: Trading Economics

    Lebanese economy is also characterized by high government debt, substantially from domestic banks, borrowed primarily for reconstruction of the economy post civil war (1975-90). Over the years, the government relied more heavily on deficit financing to meet government spending, while the weak governance and corrupt politicians moved along with unfulfilled reforms and poor economic development. There was an underprovision of basic necessities like hassle-free electricity supply, regular water and waste management. On the other hand, crony capitalism had built up, with favours laid out to private businesses which were ultimately owned by rich, exploitative politicians. The debt-to-GDP ratio peaked to 150% by 2019, with a budget deficit of 11.5% of GDP and 50% of the revenues are consumed in debt servicing. This led to an economic crisis, followed by a political crisis, and ultimately snowballed into a financial crisis, rendered vulnerable and  in desperate need of foreign aid to see the day.

    Evidently, though Lebanon crisis started in late 2019, it is the result of long term economic policies mismanaged by corrupt political elite; when the government proposed to tax ‘free-calls in Whatsapp’ to meet the mounting budget deficit in October 2019, protests erupted across the country, catapulting into political unrest and ousting the prime minister. Investors and citizens lost confidence in the system, and led to reducing capital inflows.

    Their sovereign bonds were rated as highly risky assets (probable default),  leading to interest rates as high as 15%. The political uncertainty and the liquidity crunch, led to freezing of external deposits, while the steady domestic and foreign demand for dollars persisted, leading to a shortage of USD. The banks levied restrictions (weekly quotas) on dollar withdrawals, the dollar rate spiked, depreciating the pound, and reducing the purchasing power of the pound. This had squeezed the middle and low income strata the most, draining their last pounds of savings, since their debts substantially constituted dollar repayments. Businesses relying on dollars for most part were affected as the price of imports sky-rocketed, and the oil crunch tightened until the central government stepped in to ease the situation. The condition degraded further by the onset of Coronavirus and the lockdown, which led to widespread unemployment and inflation. The World Bank estimated that 50% of Lebanese population could be pushed below the poverty line by 2020 if immediate action is not taken.

    The debt of Lebanon has built up to 124464 billion LBP, i.e nearly $82 billion and the country has become the 3rd most indebted country in the world. In March 2020, Lebanon government, as a decisive step to prioritize the domestic concerns of the country and retain sustainable foreign exchange reserves in the economy, had defaulted on the Eurobond debt of $1.2 billion for the first time. The ailing economy seeks to restructure the other outstanding debts amounting to $31 billion and has been seeking advice, especially from the IMF on debt restructuring measures. There is a need for an ‘economic rescue plan’ to protect the depositors from this worst economic crisis Lebanon has faced.

    Figure 2: trend of Lebanon government’s debt

    Source: Trading Economics

    Foreign aid from the institutions is a big responsibility, as it would demand austerity measures from the economy that had dwelled in capitalistic pleasures for so long. Though, CEDRE and foreign countries like France and UK have promised ‘soft’ loans to the Lebanese government, economists believe that external aid would be unproductive, and will become an additional debt burden on the already bleeding financial system unless government inculcates greater transparency and accountability to the public, ousting corruption and following through on long-term economic policies with commitment.  Lebanon government is also seeking aid from the IMF. But  this would certainly entail strict reform targets linked to the outflow of credit and hence, is very unlikely.

    For the immediate future, Lebanon’s economic policies should be directed towards increasing  self-reliance in the economy, with higher focus on manufacturing sectors to create employment. Financial policies to stabilize the economy are of primary concern. It is time to make up for the blunders of non-performing investments in the electricity industry. Investments on infrastructural development should be realized and substantial attention should be given to improving  socio-economic conditions of the people. Construction and manufacturing industries should be supported. Actions should be taken to handle the refugee situation, and check the drain of human capital out of the country.   It could be said that Lebanon’s government has a long way to go before it can regain the confidence of its people and the foreign investors in order to stabilize the economy.

    Current Scenario

          Covid 19 has a destructive and deleveraging impact on all the economies, and Lebanon is no exception. The economy is heavily dependent on the service sector, especially tourism, and foreign remittances. The impact of the coronavirus pandemic has been devastating on the money the expats send home, which makes up nearly 12.7% of the GDP, making Lebanon the second-most remittances dependent middle-eastern country, only behind Palestine. Amid the collapsing economy and the disruption triggered by the Covid-19 pandemic, the only certainty is the gathering pace of Lebanon’s political unrest.

     

    REFERENCES

    https://www.nytimes.com/2019/11/15/world/middleeast/lebanon-protests-economy.html?action=click&module=RelatedLinks&pgtype=Article

    https://www.nytimes.com/2020/05/10/world/middleeast/lebanon-economic-crisis.html

    https://www.trtworld.com/magazine/what-s-behind-lebanon-s-economic-crisis-35874

    https://www.nytimes.com/2020/03/07/world/middleeast/lebanon-debt-financial-crisis.html

    https://www.nytimes.com/2019/12/03/world/middleeast/lebanon-protests-corruption.html?action=click&module=RelatedLinks&pgtype=Article

    https://www.theguardian.com/world/2020/mar/07/lebanon-to-default-on-debt-for-first-time-amid-financial-crisis

    https://www.nytimes.com/2020/03/07/world/middleeast/lebanon-debt-financial-crisis.html

    https://www.nytimes.com/2019/10/23/world/middleeast/lebanon-protests.html

    DATA- https://data.worldbank.org/country/lebanon

    https://www.britannica.com/place/Lebanon/Trade

    https://tradingeconomics.com/lebanon/government-debt

     

    Image Credit: Adobe Stock

  • Need to Redefine MGNREGS: Response for a post pandemic Economy

    Need to Redefine MGNREGS: Response for a post pandemic Economy

    The Union budget 2020 was heavily criticized for allocating only INR 60,000 crore on the UPA flagship program, Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGA). Discontent continues even after the relief package mentioned INR 200 per person will be paid for the next three months. With 7.6 crore workers registered under MGNREGA program – around one trillion (INR) would be required to fulfill the promise. The pandemic has disrupted almost every physical activity, thereby disrupting the physical labour economy. The unfolding crisis across the country and  the poor health infrastructure especially in rural areas poses a major challenge to combat the spread of the virus .  According to the National Health Report, India’s government hospitals average a low figure of one bed per 1844 patients.  The magnitude of the health crisis becomes apparent with the inadequacy in health infrastructure in rural India. The ongoing COVID-19 crisis is reshaping the entire global economy and is expected to be a stress test for government institutions. Even after the crisis, policy making and social programs will remain the key areas in which continuous revision must happen – to build a resilient economy in the long run. As the pandemic influenced financial crisis looms large, it is opportune to discuss public employment programs in bridging infrastructure gaps and financial losses. 

     Demand driven workfare programs intend to provide 100 days of employment for rural households. This scheme was launched with an objective to alleviate poverty and create public assets.   Recognising the vagaries of the agriculture sector to provide stable employment, the program sought to guarantee minimum income for subsistence level labourers and also internalized short term shocks in the rural economy. In principle, the ‘right to work’ element offered a legitimate progress in public-policy discourse by empowering women and marginalized communities to work. The laudable results of the employment program have more or less achieved its social objectives by increasing individual asset creation and enhancing savings rate. Almost 50 percent of the population dependent on agriculture fall back to government employment schemes in times of labour market failure. Low productivity, inadequate modern technology, high dependence on rainfall and bottlenecks to reach the market are primary sources of such failures. Execution of public employment in India is  plagued by rampant corruption and efforts to effectively implement the scheme faces hurdles and results in marginal progress. In the wake of economic slump with falling consumption in rural India and high unemployment rates, infusing cash in the hands of people is always the priority. However, marginal increase in budget allocation for public work programs has invited criticism from the economists – expecting the rural economy to struggle with slow recovery. With acute shortage of skilled labourers and an education system failing to impart quality skill education, a public employment program can be more dynamic in resolving the socio-economic and food security problems. The primary objective is to offset short term economic disturbance and smoothen consumption expenditure, but the development of the program in responding to the needs of the community is also important.  Successful implementation of an employment program must factor-in convergence with other departments, quality of assets created and skill levels imparted under the program. .The three-week lockdown due to covid-19, further extended by two weeks, has exposed the inadequacy of public health infrastructure, more so in rural areas and for informal labour groups, to address their health and the resulting financial hardship. Converging the needs of villages to enhance better response during a crisis with the employment program would result in bringing accountability and creating assets.

    India has experimented with a plethora of universal public programs such as Public Distribution System and Integrated Child Development Scheme (ICDS). In a similar vein, MGNREGS has been an important public work programme with the aim of reducing poverty and enhancing income levels. At this juncture, revising and reviewing MGNREGA scheme with the objective to reduce leakage in the system is a priority. A clear balance between the twin objective of providing employment and creating infrastructure has been missing in the literature. The gap between theoretical policy and reality has raised  concern and the need to review the current approach . The obvious gap in infrastructure requirements identified during the time of crisis must converge with public programs. Such carefully designed schemes with tangible objectives will provide economic security in the short run and improve rural infrastructure in the long run. 

    Work completion rate can be used as a proxy for productivity because individual labour productivity is hard to ascertain with heterogeneous work projects. Although the official MGNREGA website suggests an average of 90 percent of work completion, open government data shows a decline in work completion rate from 43.8 percent in 2008-09 to 28.4  percent in 2015-16. Financial support through employment should account for both quality of assets created and the process of such creation. This would internally check and balance the operation of the scheme and intuitively bring in accountability. At present, the scheme contains the above mentioned elements but has not been used to evaluate the execution of the program. Convergence between departments to create assets and the work completion rate might explain the effectiveness of a program in physical terms. 

    An efficient model should enhance the skill levels of rural youth and is more than necessary to counter the loss of jobs already happening due to coronavirus lockdown. Unskilled and semi-skilled labourers will face lay-offs as industries with the recent norm on social distancing adjust to capital intensive businesses. The percentage of rural population in the age group of 15-59 receiving vocational training has reduced from 1.6 percent in 2011 to 1.5 percent in 2015-16. Unemployment rate among rural youth (15 to 29) has increased from 5 percent in 2011 to 17.4 percent in 2017-18. Although the highest unemployment rate is observed among rural females, the employability of rural youth reduces as education increases. The paradox of educated unemployment is not complex to decode, but a significant skill gap is the fundamental problem from the labour supply side. The Expanded Public Works Program (EPWP) introduced in South Africa to address the skill gap among the youth has succeeded in reducing poverty and unemployment rates. The program has been designed to create labour intensive projects not limited to infrastructure but extends to social, cultural and economic activities. The percentage of young workers under this scheme witnessed a rise from 7.73 % in 2017-18 to 10.06 % in 2019-20 in reference to the low levels of employment. This would mean the nature of the guarantee program has shifted from giving opportunities for seasonal unemployed to educated unemployed. The change is indicative of the deeper crisis faced in the rural economy and calls for a sustainable plan to use public programs as a tool to also impart skill training for the rural youth. State’s increasing dependence on work programmes to create employment needs to be revised based on community requirements. While enhancing rural employment is the immediate concern, the process of achieving it suffers from various executive problems such as corruption among government staff and individual’s lack of willingness to work. Amidst the lockdown situation due to COVID-19, unemployment will increase sharply. A well-devised strategy to address economic losses on priority and emphasis on health infrastructure through public employment must resonate in policy-making after the impact of the coronavirus crisis subsides. 

     

  • PDC 2: Rising Unemployment and Economic Woes: Is India Missing its Demographic Dividend?

    PDC 2: Rising Unemployment and Economic Woes: Is India Missing its Demographic Dividend?

    Peninsula Discussion Club – Past Event

    PDC 2: Rising Unemployment and Economic Woes: Is India missing Demographic Dividend?

    Date: 02 November 2019

    Speaker: Professor Jothi Sivagnanam PhD, HOD, Dept of Economics, University of Madras

    India has stepped into its demographic dividend and the bulging youth population can possibly be a gift or curse for development. Recent concern over rising unemployment in India has been discussed from various dimensions. ‘Jobless Growth’ in India is evoking debates among economists and policymakers on how to capitalize on the human capital resource. The second discussion of TPF was an attempt to comprehend the looming crisis and identify factors that cause unemployment. Speaker of session, Professor Jothi Sivagnanam highlighted that demonetisation and the poor implementation of GST as the two major blunders that have disrupted the economy to a great extent. This is now causing high rates of unemployment. Poor quality in higher education and reluctance of state to correct the skill mismatch was discussed in detail. India’s growth as a global economic power, and its ability to dominate global markets can only be achieved if it focuses on development of high quality skills in its huge young population. The state has to prioritize developing skills at international standards in order to compete with established players. Participants pointed out the problems of archaic and rigid labour laws that stymie productivity and efficiency. It was pointed out that export oriented policies are vital to generate employment and high skills. In the realm of the fourth industrial revolution, the debate has to move past growth versus development due to the interdependence various sectors of the economy. The professor and one of the participants brought out the importance of balancing industrialization with education and social engineering. For example, Gujarat portrays a pro-business growth model, however, failed to succeed in its welfare policies, and hence, has serious inequalities and social problems. On the other hand Kerala, being socialistic in nature focused on development and failed to create a conducive zone for business development. With states having different characteristics and history, problem of unemployment cannot be treated as a universal problem. There is a substantial increase in the educated unemployment and vulnerability in informal sector. States need to address this by designing better quality education to meet the industry standards and regulate the labour laws. Given this backdrop, other specific issues were discussed during the meet.

    We welcome comments and further discussions on this blog page. Comments will be moderated in order to ensure discussions remain professional and ethical.

    PDC Past Event : 02 Nov 2019