COVID ECONOMIC RECOVERY INDEX
A landscape of recoveries:
Absorptive capacity vs Economic resilience
Many possible shapes have been put forward for the recovery process (Sheimer & Yilla, 2020). Two factors will play a major role in recoveries: the immediate impact of the measures to contain the pandemic shock on GDP, and the trajectory the country will take once the initial shock has been absorbed. Figure 3 shows how countries differ in their ability to absorb the short-term shock and their economic resilience. In the upper right quadrant are the countries capable of absorbing the shock, with greater economic agility, which are likely to recover faster. The Nordic economies are in this group, as are many European countries including Germany, Switzerland as well as most of Eastern Europe (see Box 2). Among emerging economies, Kazakhstan, Russia, and Thailand stand out for their relatively good performance. While the individual strengths of each of these countries contribute to this outcome, a common feature is low unemployment at the outset and flexible labour markets with good social security systems. All these factors will help them weather the crisis and provide a good base for transforming their economies in future.
While they may have been deeply affected initially, countries in the lower right quadrant, including the United Arab Emirates, Luxemburg, Singapore, Israel, Malta, or Ireland, display stronger economic resilience, which will support recovery. These countries are mostly relatively small, open economies, highly dependent on international trade and/or flows of capital, and on sectors that are vulnerable to COVID containment measures. Most of these countries have strong institutions and well-educated populations and are digitalized. What is important for countries in this group is to focus on short term stimulus to avoid layoffs and bankruptcies to the degree possible. Once the initial shock has been weathered, these countries have a strong capacity to recover.
In the upper left quadrant are countries that were less exposed and/or more able to absorb the initial shock, but that have lower resilience than most other economies. For the most part, these countries may be less affected by the initial shock because they are less dependent on vulnerable industries and/or are less connected internationally than their peers. Examples include India, Ethiopia, Ukraine, Egypt, Pakistan, or Bolivia. However, the economic resilience of these countries is low due to often rigid labour markets and low levels of education and digitization: These countries may be left further behind in terms of their economic growth as a result. Many of these countries are low income economies. They are affected to the same degree by the pandemic (absorptive capacity) but have significantly lower capacity to rebound. Over the medium term, the fallout from COVID risks exacerbating economic differences between developing and developed countries, thus undoing much of the convergence in terms of prosperity and standards of living achieved in recent years.
Finally, in the lower left quadrant are countries with low absorption capacity and low resilience while are likely to suffer the most and recover slowly. Most of these countries are low income economies, but this group also includes several middle-income countries including Brazil, Mexico, Colombia, Ecuador, and the Dominican Republic. These countries should be a priority for development assistance to strengthen economic resilience and the recovery going forward, as well as for humanitarian assistance to mitigate the most important effects of the economic crisis on people.
CERI results by level of development
Source: Authors’ calculation. Note: Countries are colour coded as follows: green countries perform better than expected for their level of GDP per capita; yellow denotes countries performing in line with GDP; countries in orange perform less well than expected for their income group.
What matters for recovery capacity - beyond wealth
Unsurprisingly, countries with higher GDP are better equipped to recover rapidly. Many of the characteristics that made them successful in the first place will also help them weather the crisis and be the enablers for the post-COVID recovery. These include good governance, a skilled workforce, as well as stable and deep financial systems, among others. Many characteristics also increase as a result of wealth, for example advanced digital skills or infrastructure or the quality of health care. However, as we can see from the figure above, some countries perform better on the CERI that could be expected from their GDP per capita, suggests that some socio-economic traits that drive resilience and recover are independent of income. These include:
The degree of dependence on vulnerable industries in terms of potential of job loss and GDP impact and exposure to international markets. Vulnerable industries include those industries that suffer the most from the pandemic, such as travel and tourism, hospitality, or retail. Less developed countries are on average less exposed to vulnerable industries and less connected internationally. These factors made their economies less affected by COVID.
Health system capacity to deal with any ongoing pandemic effects, such as overall pandemic preparedness i.e. - the number of hospital and intensive care beds and health care professionals; Also important is health insurance coverage.
The existence and efficient functioning of social security nets, which will limit the immediate economic effect of the pandemic on the most vulnerable segments of the populations and allow for a rapid and efficient distribution of direct income support.
Social capital and trust which limits principal agent problems between citizens and officials.