Transitioning to a post-COVID world: a K-shaped recovery?

The K-shaped recovery

The latest (January 2021) IMF estimates reveal that world GDP for 2020 is expected to fall by 3.5 percent, with the advanced economies registering a projected decline of 4.9 percent. Emerging and developing economies are estimated to endure a fall in real GDP of 2.4 percent (Figure 1). This is unlike the last global recession of 2008 when the emerging and developing economies registered modest positive growth juxtaposed with a significant decline of more than 3 percent for the advanced economies. The net impact was that, at the global level, output contracted by a modest 0.1 percent.

Figure 1

Source: Derived from IMF, World Economic Outlook, January 2021

A ‘V’ shaped recovery is expected in 2021 across the world and the projections suggest that between 2020 and 2025 both the advanced and emerging and developing economies will continue to grow at a steady pace in line with recent historical trends (IMF data mapper, October 2020). Such a salutary outcome, however, rests on the  critical assumption that appropriate policy responses across the world will be enacted and implemented and that the timely availability of vaccines will offer durable protection against the current pandemic. In the absence of appropriate policy interventions, much more pessimistic interpretations of the nature of the global economic recovery are very likely. This point is elucidated below.

A number of analysts have highlighted the notion that aggregate growth statistics hide the fact that a ‘K-shaped’ or uneven recovery is in progress.[1] This can be gauged from both sectoral growth and employment patterns and the nature of job losses across cohorts of workers stratified by income and skill levels.

The ILO’s latest Global Monitor (January 2021) notes that specific sectors, most notably, ‘accommodation and food services, arts and culture, retail, and construction’, have experienced massive job losses, while positive job growth is evident in information and communication, and financial and insurance activities which tend to be populated by higher skilled workers. Others find that the semiconductor industry is booming, while contact-intensive, service-oriented industries are languishing.[2]

Evidence from the USA highlights a striking pattern: high wage workers experienced job gains (+2.9 percent) during the pandemic, middle wage workers experienced modest job losses (-3.4 percent), while low wage workers experienced massive job losses (-21 percent).[3] This implies that COVID-19 is likely to exacerbate existing inequalities unless countervailing policy measures are undertaken.

The thesis of uneven economic recovery also pertains to the fact that emerging and developing economies are likely to fare worse than advanced economies, despite GDP projections suggesting that the magnitude of the 2020 recession was less acute for low-and middle-income countries (Figure 1). This can be illustrated by computing GDP losses relative to the pre-COVID era (2019) across regions of the world (Figure 2). With the exception of China, in all cases, regions that form part of emerging and developing economies are expected to experience higher GDP losses relative to advanced economies.

Source: Derived from IMF, World Economic Outlook, January 2021

Notes: Em. Asia ex.CHN= Emerging Asia excluding China; LAC= Latin America and the Caribbean; MECA= Middle East and Central Asia (MECA); Em.Eur = Emerging Europe; AE= Advanced economies

Labour market indicators suggest that lower middle-income economies are expected to experience a greater degree of labour market distress relative to their counterparts in both rich and poor countries. The latest (January 2021) ILO estimates indicate that work-place closures have led to a loss of 8.8 percent of workhours globally relative to 2019 thresholds in 2020. This is distributed as follows: low-income countries – 6.7 percent; lower middle-income economies- 11.3 percent; upper middle-income countries: 7.3 percent; high income countries – 8.3 percent. Similarly, the share of labour income losses due to workhour losses are of greater magnitude in lower middle-income countries relative to their counterparts in low, upper middle-income and high-income countries.

If one adds the impact on extreme poverty of COVID-19, then the picture of the greater distress experienced by low- and middle-income economies becomes even more stark. Given the way that extreme poverty is currently measured (the ‘global’ poor earn less than USD 1.90 a day), it is almost exclusively prevalent in low- and middle-income economies. Until COVID-19, extreme poverty was on a sustained downward trend. Now, the latest estimates suggest that “… between 119 and 124 additional poor globally ” as a result of the pandemic (Lakner et al, 2021). What is worrying is the steady manner in which the pertinent projections have worsened. In April 2020, for example, the maximum expected increase in global poverty was 62 million. By January 2021, this has more than doubled.[4] Some of the most populous countries in South  Asia, such as India, are projected to experience the highest increase in poverty (Kharas, 2020). In contrast, in some advanced economies, such as the USA, a generous, but time-bound, increase in income support was associated with stability in short-run poverty during the early phase of the pandemic.

One area that has been badly hit is the education of children and young adults. In April, when the first wave of COVID-19 was at its peak, more than 90 percent of children were subjected to school closures globally. At the same time, various tertiary institutions, most notably technical and vocational institutions, were badly affected. While the situation has eased to some extent, the deleterious long-term consequences are increasingly becoming evident. World Bank estimates note that ‘learning poverty’ (inability to read a simple text by age 10) is projected to increase from 53 percent of the pertinent cohort to 63 percent in low and middle-income economies. This in turn translates into potential earning losses almost equal to 10 percent of the collective GDP of middle-income economies.

In sum, the challenges that low and middle-income economies will face in a post-COVID world are immense. It will require a combination of national determination and generous international cooperation to attenuate these challenges.

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[1] See, for example, Jones (2020) and Bheemaiah et al (2020)

[2] Manabe and Hiroi, 2021

[3] Economic Tracker (tracktherecovery.org). The data is based on November 15, 2020

[4] Lakner et al, 2021

World Bank’s Doing Business and ‘data irregularities’: was Paul Romer right after all?

Nobel Laureate Paul Romer had a brief, but tempestuous, tenure at the World Bank as its Chief Economist. He reportedly had a tense and adversarial relationship with Bank staff on multiple issues, but the proverbial straw that broke the camel’s back turned out to be Romer’s critique of the World Bank’s celebrated Doing Business reports (henceforth DBR). He made an abrupt exit in January 2018 after this critique became public. Even worse, media reports attributed to him the sensational claim that Bank staff fabricated the data to create an unfavourable impression of a particular country (Chile) because it was being ruled by a left-of-centre government and, therefore, presumed not to be business-friendly.

Romer subsequently recanted his position in his personal blog pointing out that he never intended to cast aspersions on the intellectual integrity of World Bank staff but stood by his methodological critique. It is ironic that, after his departure from the World Bank, Romer went on to win the Noble prize in economics, a singular honour that he shared with William Nordhaus. The World Bank was thus deprived of the opportunity to claim that it had a Nobel Laureate as its Chief Economist.

When Romer took aim at the DBR, he was taking on a ‘flagship publication’ of the World Bank. It grew out of a ‘project’ conceived in 2002. As the Bank states:

The Doing Business project provides objective measures of business regulations and their enforcement across 190 economies and selected cities at the subnational and regional level.

The Doing Business project, launched in 2002, looks at domestic small and medium-size companies and measures the regulations applying to them through their life cycle.

By gathering and analyzing comprehensive quantitative data to compare business regulation environments across economies and over time, Doing Business encourages economies to compete towards more efficient regulation; offers measurable benchmarks for reform; and serves as a resource for academics, journalists, private sector researchers and others interested in the business climate of each economy.

Countries are scored (100=best) and ranked (1=best) for ‘ease of doing business’. The progenitors of DBR did not anticipate that the ranking exercise would become so influential.  Timothy Besley calls it ‘…one of the most prominent knowledge products produced by the World Bank.’

Governments, especially in the developing world, eagerly consulted the annual publication of DBR to find out how well or how poorly they were ranked. When significant ‘improvements’ in the business environment took place, they led to the World Bank President (David Malpass) to join in the national celebrations, as in the case of Pakistan. He proclaimed: ‘Your country jumps to 108th place from 136th last year…I congratulate you all, prime minister, chief minister, your team for this achievement.’

Some, such as India, set a policy goal in terms of reaching a particular rank (‘top 50’). Others, such as Indonesia, took an identical approach, aiming to be ranked 53rd in 2020 and 40th in about four years.

In retrospect, this scramble to win the rankings game by many countries was a misguided endeavour that the World Bank made little or no attempt to rectify. Now, it seems, it has no choice. An official statement issued by the World Bank on August 27 acknowledges ‘data irregularities’ that were considered serious enough for the DBR to be ‘paused’. Here is an extensive extract from the August 27 statement.

A number of irregularities have been reported regarding changes to the data in the Doing Business 2018 and Doing Business 2020 reports, published in October 2017 and 2019…

The integrity and impartiality of our data and analysis is paramount and so we are immediately taking the following actions:

  • We are conducting a systematic review and assessment of data changes that occurred subsequent to the institutional data review process for the last five Doing Business reports.
  • We have asked the World Bank Group’s independent Internal Audit function to perform an audit of the processes for data collection and review for Doing Business and the controls to safeguard data integrity.

We will act based on the findings and will retrospectively correct the data of countries that were most affected by the irregularities.

The Board of Executive Directors of the World Bank has been briefed on the situation as have the authorities of the countries that were most affected by the data irregularities.

The publication of the Doing Business report will be paused as we conduct our assessment.

This embarrassing development was duly reported by leading representatives of the global media – see, for example, The Economist, Financial Times, Bloomberg Quint and Reuters, UK . All of them referred to Paul Romer’s concerns about DBR.

One wonders what Romer is thinking now. He also wanted to review past DBRs because he felt that changes in methods of measurement were too frequent and led to arbitrary changes in national rankings. He highlighted the case of Chile whose rank fell by more than twenty places in a short span of time.

Two analysts, Justin Sandefur and Divyanshi Wadhwa, from the Center for Global Development illustrated spurious improvements in the ranking for India due to changes in methodology and even changes in sample size. An external audit of DBR commissioned by the World Bank in June 2018 exonerated World Bank staff from data manipulation but noted the following: ‘… both the survey questionnaires and how the indicators are calculated have changed frequently… (F)requent methodology changes reduce the value of the indicators to researchers, policy makers and the media.’

It appears, however, that the worst fears of Romer have turned out to be true. It was not just a case of frequent changes in methodology, but ‘data irregularities’ that has caused the World Bank to temporarily cease the publication of DBR. Who committed these irregularities is unclear. The Bank faces the formidable challenge of salvaging the reputation of a flagship publication. Will it be able to persuade member states to take the DB rankings seriously following this debacle? Only time will tell.

Mapping global responses to COVID-19: a view from Oxford

COVID-19 has left its malevolent imprint on a global scale; it has also motivated multiple agencies and institutions to create and disseminate innovate datasets that have enabled the international community to make sense of the evolution of the current pandemic and policy responses to it. Some, such as Johns Hopkins University, have set the pace in tracking both morbidity and mortality across the world engendered by COVID-19. Others, such as the IMF and ILO, have compiled country-level responses to ameliorate the economic and social consequences of this persistent global contagion.

IMF has developed a ‘policy tracker’ that highlights monetary and fiscal policy actions undertaken by governments across the world. The dataset is primarily textual in nature.

ILO has created a global ‘monitor’ that seeks to capture the labour market consequences of COVID-19. The ‘monitor’ also collates government responses at the national level that aim to ameliorate such consequences.

The Blavatnik School of Government (henceforth BSG) at the University of Oxford has created a comprehensive data analytic tool to highlight the fact that:

Governments are taking a wide range of measures in response to the COVID-19 outbreak. This tool aims to track and compare policy responses around the world, rigorously and consistently.

I have delved into BSG’s diverse and rich dataset to illuminate (1) the overall stringency of government response (2) economic relief provided to business and the broader community based on the latest available data (September 9, 2020) as they prevail across the world.

One advantage of the the BSG dataset (officially known as ‘Oxford COVID-19 Government Response Tracker’ or OxCGRT) is that it aggregates diverse information into simple numerical indices. Like all COVID-19 related datasets that are currently available, OxCGRT is dynamic in nature and is updated with considerable frequency.

Shown below are a series of global maps that enable one to acquire a pictorial overview of country-level variations in government responses. In Map 1, one can detect the overall stringency of government response to COVID-19. This index is constructed from a variety of indicators, such as school and workplace closures. On a scale of 0-100 (100=strictest), countries generally vary from moderate (less than 50 as in Sri Lanka) to a high degree of stringency (above 70 as in parts of Australia).

Maps 2 and 3 focus on economic relief to business and the broader community. Such measures take two forms: (a) income support to targeted groups (b) debt or contract relief in which financial obligations (such as loan repayments) are temporarily suspended. Once again, there are notable variations in the generosity of economic support that is provided. Canada, for example, provides generous income support (defined as replacement of more than 50 percent of lost salary), while Australia does not. There are quite a few countries, including India, where there is no income support. In general, countries seem to have juxtaposed broad-based debt or contract relief with modest income support.

It has to be noted that, despite the strenuous efforts by a truly global team at BSG to compile diverse information in a user-friendly way on as many countries as possible (186 at last count), there are conspicuous examples of countries (Brazil and China) on which there are, as yet, no data, at least in this ‘mapped’ version. This is a source of concern and will act as a hurdle in deepening our understanding of how governments across the world are seeking to ameliorate the grave economic and social consequences of the current global pandemic.

Finally, as the team at BSG makes it amply clear, describing how governments have responded is only the beginning of the critical enterprise to evaluate how effective such responses have been. BSG has no doubt inspired many to undertake that next step.

MAPS OF THE WORLD ACCORDING TO BSG

Map 1
Map 2
Map 3

India in the wake of a pandemic-driven recession: massive loss, modest response?

India’s national statistical agency announced on August 31 that quarterly (April to June, 2020) GDP declined by a massive 23.9 percent. This was the largest recorded GDP contraction among major economies (see Figure 1). Thus, the Indian economy is heading towards an unavoidable recession for the FY 2020-21 which could surpass the severity of the five recessions that the nation has endured since Independence in 1947.

Figure 1: Quarterly GDP contraction, India vs the rest

Source for Figure 1: The Indian Express, September 2, 2020

The Finance Minister called the latest developments an ‘act of god’.

As she put it:

“This year we are facing an extraordinary situation… we are facing an act of God which might even result in a contraction of the economy, to what percent I am not getting into that.”

The tentative observation  ‘might even result in contraction’ became a harsh reality soon after the Honourable Minister spoke.

The country’s central bank (Reserve Bank of India: RBI) was fearing the worst when, a week prior to the August 31 release of the GDP figures, it noted:

“…high frequency indicators that have arrived so far point to a retrenchment in activity that is unprecedented in history”.

It also offered model-based estimates that the ‘output gap’ (actual GDP falling short of potential GDP) would be severe (-12 percent). To make matters worse, the RBI, in typically sedate and understated fashion, highlighted the fact that the economy was slowing down sharply well before the onset of COVID-19. Thus, it noted:

“…From Q1:2018-19, (the Indian economy) …lost speed continuously over the next 8 quarters, reaching 3.1 per cent in Q4:2019- 20, the lowest in the national accounts series…” (see Figure 2). Furthermore, it noted with disappointment that investment – a major engine of growth – was faltering well before COVID-19 descended with full force on India:

“A slowdown in fixed investment set in from 2011-12 and became entrenched from Q4:2018- 19, slumping into contraction from Q2:2019-20.”

Figure 2

Source for Figure 2: Scroll.in

The irony is that, despite a draconian nationwide lockdown regime, pursued over several weeks during March and April, there is little evidence that COVID-19 is under control in India (see Figure 3). As one economist lamented:

“The bleak data on the economy and the seemingly runaway COVID-19 pandemic point to serious shortcomings about the Indian government’s response”.

Figure 3

Source for Figure 3: Indian Express, September 2, 2020

So, what about the government’s response? The headline statistics, as embellished by the government in May 2020, revealed that the government was committed to spending an impressive 10 percent of GDP to cope with the adverse economic consequences of the current pandemic. The IMF, in its ‘Policy Tracker’ , suggests a mundane package of measures.

“India’s fiscal support measures can be divided into two broad categories: (i) direct spending (about 1.7 percent of GDP) and foregone or deferred revenue (about 0.3 percent of GDP falling due within the current year); and (ii) below-the-line measures designed to support businesses and shore up credit provision to several sectors (about 4.9 percent of GDP). The key direct-spending measures are: in-kind (food; cooking gas) and cash transfers to lower-income households; insurance coverage for workers in the healthcare sector; and wage support and employment provision to low-wage workers. An additional 150 billion rupees (about 0.1 percent of GDP) will be devoted to health infrastructure.” 

Is this enough? Not really, says an evaluation from Brookings Institution. The authors of this evaluation note:

“(The) funding responses and relief measures targeted at the poor and vulnerable…falls short as it mostly reallocates funding across existing budgets or allows people to make advance withdrawals on their social benefits rather than mobilizing additional funding. India needs to do more to help the families of low wage workers displaced from their jobs by the lockdown and the weakening economy.”

It remains to be seen whether, in light of the latest quarterly GDP figures, the government will come up with a more ambitious and comprehensive fiscal stimulus package to cope with the dire economic consequences of COVID-19.