Structural reform
This chapter presents the latest assessment of transition challenges in the EBRD regions, tracking progress in the area of structural reform. It focuses on six key qualities of a sustainable market economy, looking at whether economies are competitive, well governed, green, inclusive, resilient and integrated. Since 2016, reform scores have converged in most areas, notably as regards competitiveness, resilience and economic integration. This contrasts sharply with the divergence seen in the area of green reform. To some extent, patterns in terms of reforms are aligned with citizens’ preferences in corresponding policy areas. This chapter also surveys the wide range of measures that have been adopted across the EBRD regions in response to high and rising food and energy prices.
Introduction
This chapter presents the latest assessment of transition challenges in the EBRD regions, tracking progress in the area of structural reform. It focuses on six key qualities of a sustainable market economy, looking at whether economies are competitive, well governed, green, inclusive, resilient and integrated. Building on seven years of data, this chapter also looks back at the progress made in those six areas since 2016, highlighting a number of important trends.
ATQ scores for 2022
Since 2016, the EBRD has assessed progress in the field of structural reform on the basis of six key qualities of a sustainable market economy, looking at whether economies are competitive, well governed, green, inclusive, resilient and integrated. Progress in each area is scored on a scale of 1 to 10, where 1 corresponds to the worst possible performance and 10 corresponds to the standards of a sustainable market economy. Those ATQ scores are based on a wide range of external and internal data sources and are calculated in accordance with a detailed methodology.1
Source: EBRD.
Note: Scores range from 1 to 10, where 10 represents a synthetic frontier corresponding to the standards of a sustainable market economy.
Competitive | Well-governed | Green | Inclusive | Resilient | Integrated | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022 | 2021 | 2016 | 2022 | 2021 | 2016 | 2022 | 2021 | 2016 | 2022 | 2021 | 2016 | 2022 | 2021 | 2016 | 2022 | 2021 | 2016 | |
Central Europe and the Baltic states | ||||||||||||||||||
Croatia | 5.71 | 5.69 | 5.82 | 6.08 | 6.08 | 6.22 | 6.76 | 6.52 | 5.92 | 6.76 | 6.82 | 6.42 | 6.54 | 6.54 | 6.08 | 6.55 | 6.39 | 6.10 |
Czech Republic | 6.79 | 6.77 | 6.64 | 7.32 | 7.30 | 6.98 | 7.14 | 6.90 | 6.56 | 6.97 | 6.87 | 6.67 | 7.48 | 7.48 | 7.53 | 7.98 | 8.11 | 7.88 |
Estonia | 7.56 | 7.52 | 7.39 | 8.67 | 8.68 | 8.50 | 6.82 | 6.57 | 6.23 | 7.50 | 7.40 | 7.19 | 7.31 | 7.29 | 7.09 | 7.88 | 7.74 | 7.43 |
Hungary | 6.39 | 6.38 | 6.17 | 5.97 | 6.04 | 5.77 | 6.65 | 6.41 | 6.08 | 5.95 | 5.88 | 5.83 | 6.97 | 6.88 | 6.53 | 7.79 | 7.73 | 7.48 |
Latvia | 6.45 | 6.39 | 6.20 | 7.31 | 7.31 | 6.83 | 7.10 | 6.86 | 6.24 | 6.81 | 6.72 | 6.44 | 6.97 | 6.98 | 6.80 | 7.10 | 6.97 | 7.36 |
Lithuania | 6.22 | 6.19 | 6.44 | 7.86 | 7.82 | 7.26 | 7.03 | 6.79 | 6.42 | 7.00 | 6.96 | 6.93 | 6.94 | 6.94 | 6.57 | 7.49 | 7.51 | 6.98 |
Poland | 6.33 | 6.32 | 6.52 | 6.88 | 6.92 | 7.34 | 6.82 | 6.58 | 6.45 | 6.81 | 6.89 | 6.62 | 7.62 | 7.62 | 7.37 | 6.96 | 6.94 | 6.66 |
Slovak Republic | 6.44 | 6.43 | 6.27 | 6.35 | 6.35 | 6.22 | 7.29 | 7.05 | 6.76 | 6.65 | 6.54 | 6.42 | 7.51 | 7.50 | 7.22 | 7.22 | 7.28 | 7.35 |
Slovenia | 6.32 | 6.29 | 6.42 | 7.24 | 7.31 | 7.18 | 7.29 | 7.05 | 6.92 | 7.06 | 6.97 | 6.77 | 7.46 | 7.44 | 7.11 | 7.25 | 7.23 | 6.94 |
South-eastern Europe | ||||||||||||||||||
Albania | 5.16 | 5.16 | 4.82 | 4.62 | 4.71 | 5.26 | 4.76 | 4.76 | 4.76 | 5.08 | 5.07 | 4.63 | 4.46 | 4.45 | 4.25 | 5.47 | 5.45 | 5.12 |
Bosnia and Herzegovina | 4.83 | 4.82 | 4.97 | 4.10 | 4.16 | 4.66 | 5.20 | 4.98 | 4.76 | 4.96 | 4.86 | 4.83 | 4.94 | 4.94 | 4.86 | 5.03 | 5.01 | 4.66 |
Bulgaria | 5.57 | 5.55 | 5.29 | 6.12 | 6.17 | 5.83 | 6.46 | 6.22 | 5.59 | 5.61 | 5.59 | 5.45 | 5.94 | 5.94 | 5.70 | 6.71 | 6.74 | 6.65 |
Greece | 5.75 | 5.73 | 6.03 | 5.93 | 6.02 | 5.69 | 6.58 | 6.34 | 6.15 | 6.58 | 6.39 | 6.49 | 6.95 | 6.89 | 6.63 | 6.76 | 6.71 | 5.83 |
Kosovo | 5.32 | 5.27 | 4.96 | 4.81 | 4.80 | 4.91 | 3.72 | 3.74 | 3.62 | 4.92 | 4.97 | 5.05 | 4.37 | 4.36 | 4.01 | 4.83 | 4.76 | 4.39 |
Montenegro | 5.46 | 5.54 | 5.16 | 6.32 | 6.31 | 5.92 | 5.77 | 5.53 | 5.10 | 5.37 | 5.35 | 4.97 | 5.38 | 5.43 | 5.06 | 6.06 | 6.12 | 5.47 |
North Macedonia | 5.19 | 5.22 | 5.33 | 5.47 | 5.43 | 5.78 | 5.56 | 5.15 | 4.79 | 4.92 | 4.90 | 4.81 | 5.15 | 5.13 | 4.76 | 5.83 | 5.84 | 5.31 |
Romania | 6.33 | 6.27 | 6.14 | 6.18 | 6.20 | 5.97 | 6.44 | 6.20 | 5.87 | 5.92 | 5.95 | 5.85 | 6.59 | 6.59 | 6.24 | 6.34 | 6.35 | 6.01 |
Serbia | 5.49 | 5.47 | 5.44 | 5.90 | 5.94 | 5.72 | 5.51 | 5.38 | 5.14 | 5.39 | 5.36 | 5.09 | 5.03 | 5.03 | 4.91 | 6.24 | 6.13 | 5.69 |
Türkiye | 5.79 | 5.80 | 5.75 | 5.92 | 5.98 | 5.97 | 5.29 | 5.25 | 4.98 | 5.20 | 5.24 | 4.89 | 6.69 | 6.63 | 6.62 | 5.78 | 5.76 | 5.85 |
Eastern Europe and the Caucasus | ||||||||||||||||||
Armenia | 4.81 | 4.80 | 4.33 | 6.35 | 6.34 | 5.81 | 5.70 | 5.70 | 5.32 | 4.78 | 4.79 | 4.52 | 5.45 | 5.45 | 5.05 | 5.48 | 5.42 | 5.08 |
Azerbaijan | 4.29 | 4.29 | 4.18 | 5.66 | 5.68 | 5.18 | 5.08 | 5.08 | 4.85 | 4.77 | 4.74 | 4.67 | 3.51 | 3.51 | 3.31 | 5.49 | 5.72 | 5.52 |
Georgia | 4.71 | 4.71 | 4.38 | 6.29 | 6.39 | 6.47 | 5.33 | 5.33 | 4.98 | 4.97 | 4.92 | 4.73 | 5.13 | 5.04 | 4.42 | 6.34 | 6.46 | 6.10 |
Moldova | 4.71 | 4.70 | 4.56 | 4.96 | 4.90 | 4.52 | 4.61 | 4.52 | 4.25 | 4.52 | 4.59 | 4.54 | 4.66 | 4.60 | 4.28 | 4.87 | 4.83 | 4.78 |
Ukraine | 5.00 | 4.97 | 5.04 | 4.36 | 4.44 | 4.10 | 5.50 | 5.44 | 5.05 | 5.44 | 5.34 | 5.23 | 4.81 | 4.89 | 4.10 | 5.46 | 5.49 | 5.13 |
Central Asia | ||||||||||||||||||
Kazakhstan | 4.98 | 4.97 | 4.93 | 5.93 | 5.92 | 5.61 | 5.20 | 5.20 | 4.76 | 5.33 | 5.31 | 5.02 | 5.48 | 5.48 | 5.12 | 5.12 | 5.23 | 4.99 |
Kyrgyz Republic | 4.13 | 4.13 | 3.86 | 4.30 | 4.36 | 4.24 | 4.54 | 4.54 | 4.16 | 4.23 | 4.21 | 4.18 | 4.18 | 4.25 | 4.20 | 3.97 | 4.18 | 4.31 |
Mongolia | 4.23 | 4.22 | 4.16 | 4.84 | 4.89 | 5.31 | 4.89 | 4.89 | 4.80 | 4.89 | 4.78 | 4.61 | 4.39 | 4.39 | 4.31 | 5.45 | 5.04 | 4.95 |
Tajikistan | 3.40 | 3.40 | 3.41 | 4.56 | 4.58 | 4.09 | 5.22 | 5.22 | 5.00 | 3.68 | 3.76 | 3.55 | 3.28 | 3.18 | 2.88 | 3.70 | 3.68 | 3.29 |
Turkmenistan | 3.31 | 3.30 | 3.30 | 2.71 | 2.63 | 2.65 | 4.35 | 4.35 | 4.31 | 3.60 | 3.66 | 3.43 | 2.92 | 2.92 | 2.87 | 4.13 | 4.14 | 4.17 |
Uzbekistan | 3.69 | 3.68 | 3.38 | 4.71 | 4.70 | 4.59 | 5.04 | 5.04 | 4.38 | 3.84 | 3.80 | 3.71 | 3.54 | 3.62 | 3.13 | 4.75 | 4.67 | 4.00 |
Southern and eastern Mediterranean | ||||||||||||||||||
Egypt | 3.62 | 3.62 | 3.71 | 5.39 | 5.48 | 4.72 | 4.71 | 4.71 | 4.50 | 3.72 | 3.75 | 3.72 | 4.50 | 4.50 | 4.05 | 5.38 | 5.40 | 4.76 |
Jordan | 4.73 | 4.74 | 4.56 | 5.83 | 5.85 | 5.93 | 5.02 | 5.02 | 5.26 | 4.39 | 4.44 | 4.01 | 5.15 | 5.15 | 4.79 | 5.55 | 5.60 | 5.85 |
Lebanon | 4.38 | 4.41 | 4.51 | 3.52 | 3.65 | 3.90 | 4.95 | 4.96 | 4.89 | 3.57 | 3.76 | 3.93 | 2.86 | 2.86 | 3.94 | 5.41 | 5.27 | 5.18 |
Morocco | 4.33 | 4.33 | 4.04 | 5.77 | 5.83 | 5.43 | 5.16 | 5.18 | 5.39 | 4.18 | 4.23 | 3.96 | 4.83 | 4.83 | 4.69 | 5.15 | 5.15 | 5.00 |
Tunisia | 4.22 | 4.21 | 4.25 | 4.82 | 4.87 | 5.05 | 4.62 | 4.62 | 4.43 | 4.38 | 4.45 | 4.29 | 4.33 | 4.33 | 3.97 | 4.85 | 4.85 | 4.58 |
West Bank and Gaza | 3.23 | 3.22 | 3.30 | 3.76 | 3.89 | 3.75 | 4.10 | 4.10 | 4.18 | 3.32 | 3.31 | 3.50 | 3.82 | 3.80 | 3.57 | 4.17 | 4.19 | 4.03 |
Source: EBRD.
Note: Scores range from 1 to 10, where 10 represents a synthetic frontier corresponding to the standards of a sustainable market economy. Scores for years prior to 2022 have been updated following methodological changes, so they may differ from those published in the Transition Report 2021-22. Owing to lags in the availability of underlying data, ATQ scores for 2022 and 2021 may not fully correspond to that calendar year.
Competitive
Most EBRD economies have seen modest increases in their competitiveness scores over the last year, thanks to improvements in labour productivity and increases in the percentage of total service exports that is accounted for by advanced business services (such as information, telecommunication and financial services). However, minor deteriorations have been recorded in Jordan, Lebanon, Montenegro, North Macedonia and Türkiye, driven mainly by declines in labour productivity and exports of advanced business services.
Well-governed
Over the last year, governance scores have deteriorated in many economies in the EBRD regions, driven mainly by the perceived worsening of corruption and a reduction in the freedom of the press. Some modest improvements have been observed in the CEB region (the Czech Republic and Lithuania), the SEE region (Kosovo, Montenegro and North Macedonia) and the EEC region (Armenia and Moldova) as a result of greater compliance with standards aimed at tackling money laundering and the financing of terrorism (AML/CFT standards) and more favourable perceptions regarding corruption.
Green
Green scores have increased considerably over the last year, especially in the SEE and CEB regions. Significant improvements have been observed, for example, in Bulgaria, Montenegro, North Macedonia and Romania, primarily on account of increases in nationally determined contributions (NDCs) in the context of the Paris Agreement. Meanwhile, small declines have been observed in Kosovo, Lebanon and Morocco, partly driven by reductions in the size of conservation areas.
Inclusive
Over the last year, inclusion scores have improved in many countries, including Bosnia and Herzegovina, the Czech Republic, Estonia, Greece, Mongolia and the Slovak Republic. In Bosnia and Herzegovina, that improvement mainly reflects greater financial inclusion, a decline in the percentage of young people who are not in education, employment or training, and an increase in the female labour-force participation rate. In contrast, significant deteriorations have been recorded in Lebanon, Poland, Tajikistan and Tunisia, driven primarily by a worsening of national frameworks for ensuring equal treatment and preventing discrimination (as well as a decline in financial inclusion in the case of Tajikistan).
Resilient
ATQ scores for resilience cover issues pertaining to (i) energy security and (ii) financial stability. The discussion below considers each of these in turn.
Integrated
Over the last year, marked improvements have been observed in Croatia, Estonia and Mongolia in the area of economic integration, driven mainly by increases in FDI and portfolio inflows (and, in Croatia, by the increased affordability of mobile broadband). Significant deteriorations have occurred in Azerbaijan and the Kyrgyz Republic on account of fluctuations in FDI inflows. Meanwhile, the use of non-tariff barriers to trade has increased across the EBRD regions.
Progress in the area of structural reform, 2016-22
This section takes a closer look at changes to scores over the period 2016-22 for each of the six key qualities of a sustainable market economy, looking not only at economies in the EBRD regions, but also at a number of advanced and emerging-market comparators around the world. Econometric analysis relates changes in scores for each country and quality to the initial level observed in 2016. The analysis also controls for the level of economic development (using the logarithm of GDP per capita at market exchange rates), as well as a set of dummy variables for each quality, in order to capture the average level of progress across all economies in a given area. A number of trends emerge.
Divergence on the green economy, with convergence in other areas
First, progress has been faster in economies that had greater challenges (and, hence, lower ATQ scores) in 2016. This is down to the fact that countries which were initially lagging behind have made efforts to catch up with the policy frontier.2 This relationship is not statistically significant in the overall sample as a result of differences in the degree of convergence across qualities. Neither is there a statistically significant relationship between progress on reforms and the level of economic development. For competitiveness and economic integration, however, this “catching-up effect” is both sizeable and statistically significant.
Source: EBRD and authors’ calculations.
Note: Each dot represents a score for a particular country in respect of a particular quality. Thus, each country is represented by six dots. Data cover EBRD economies and a number of advanced and emerging-market comparators
Inclusion most strongly correlated with income per capita
Scores in all six areas of reform are strongly correlated with income per capita. However, this correlation is far from perfect and is weaker as regards the green economy and good governance (particularly in the EBRD regions; see Chart 5.3). Inclusion scores exhibit the strongest relationship with income per capita.
Source: EBRD, IMF and authors’ calculations.
Note: This chart shows bivariate correlations between scores for individual qualities and the logarithm of GDP per capita at market exchange rates in 2021. 90 per cent confidence intervals are shown.
Most progress in the area of green reform, while governance reforms have progressed slowly
Green reforms have, on average, seen the most progress across the EBRD regions (see Chart 5.4). In contrast, governance reforms have seen the slowest progress. Similar patterns can be observed for the full sample, which includes advanced and emerging market comparators, as well as in a regression framework that accounts for countries’ levels of economic development and initial ATQ scores.
Source: EBRD and authors’ calculations.
Note: Data represent simple averages of changes in ATQ scores across economies.
Convergence has stalled since the onset of the Covid-19 pandemic
Most of the gains in terms of ATQ scores were made during the pre-pandemic period (2016-19). Average increases in ATQ scores since 2019 have been lower than in previous years, with governance weakening on average since the onset of the pandemic (see Chart 5.4). Consequently, the convergence that was documented in Chart 5.2 mostly reflects changes to scores during the pre-pandemic period (see Chart 5.5).
Source: EBRD, IMF and authors’ calculations.
Note: Each dot represents a score for a particular country in respect of a particular quality. Thus, each country is represented by six dots. Data cover EBRD economies and a number of advanced and emerging-market comparators.
Source: EBRD, IMF and authors’ calculations.
Note: Each dot represents a score for a particular country in respect of a particular quality. Thus, each country is represented by six dots. Data cover EBRD economies and a number of advanced and emerging-market comparators.
On average, the EBRD regions have made more progress than their comparators
Economies in the EBRD regions have, on average, seen more progress with reforms than advanced and emerging-market comparators (see Chart 5.7). In the EBRD regions, progress across all six areas has been fastest in Montenegro, Armenia, Lithuania, Estonia and Uzbekistan, and slowest in Lebanon, the West Bank and Gaza, Turkmenistan, the Kyrgyz Republic, Bosnia and Herzegovina, and Jordan. This analysis takes account of each economy’s level of economic development, initial ATQ scores and average progress in each area. Thus, every economy is compared with its peers – economies that were similar in terms of initial conditions in 2016.
Source: EBRD, IMF and authors’ calculations.
Note: This chart shows the residuals that are derived from regressing changes in ATQ scores over the period 2016-22 on quality dummies, initial scores and the logarithm of GDP per capita at market exchange rates in 2016. For each economy, those residuals are averaged across the six qualities of a sustainable market economy.
Citizens’ preferences and the qualities of a sustainable market economy
This section investigates the extent to which differences in the speed of reforms are linked to differences between the attitudes of individuals residing in different economies.3 Such attitudes have been gauged using the latest round of the World Values Survey, which was conducted in countries around the world in the period 2017-20.4
Source: World Values Survey and authors’ calculations.
Note: This chart indicates the percentage of respondents who agree with the statement “Protecting the environment should be given priority, even if it causes slower economic growth and some loss of jobs”. Data are based on the most recent survey round available for each economy (in most cases, the 2017-20 survey round).
Source: World Values Survey and authors’ calculations.
Note: Data are based on the most recent survey round available for each economy (in most cases, the 2017-20 survey round).
Source: World Values Survey and authors’ calculations.
Note: Data are based on the most recent survey round available for each economy (in most cases, the 2017-20 survey round).
Link between citizens’ preferences and progress on reforms
While it is far from perfect, there is considerable alignment between differences in citizens’ preferences and differences in the progress made on reforms in each area (see Chart 5.11). In order to assess these links more systematically, regression analysis can be used to look at the significance of the relationship between ATQ scores and preference indices for each quality. That regression includes quality-year fixed effects and the logarithm of GDP per capita, in order to capture average progress on reforms in each area in a given year and the level of economic development, respectively. Additional specifications include interaction terms consisting of the relevant preference index plus (i) dummy variables for each quality of a sustainable market economy and (ii) a dummy variable indicating whether the economy has free media.
Source: World Values Survey, EBRD and authors’ calculations.
Note: Data are based on the most recent survey round available for each economy (in most cases, the 2017-20 survey round). The advanced-economy comparators are Canada, Cyprus, France, Germany, Japan, Sweden, the United Kingdom and the United States of America.
Source: EBRD and authors’ calculations.
Note: Coefficients have been derived by regressing ATQ scores on citizens’ preferences (taking account of the logarithm of GDP per capita and quality-year fixed effects) using a linear model. The 95 per cent confidence intervals shown are based on standard errors clustered at country-year level. Darker bars indicate values that are statistically significant at the 5 per cent level.
Stronger links between people’s preferences and progress on reforms where media are free
The extent to which economic decision-making is aligned with the stated preferences of citizens may be dependent on the degree of media freedom, as free media are likely to facilitate stronger links between people’s preferences and political processes.9 Media narratives, for instance, have been shown to play an important role in shaping attitudes towards the green economy.10
Policy responses to high food and energy prices
Sharp increases in food and energy prices
Commodity and food prices have increased significantly in 2022. This began with a strengthening of demand as Covid-related social distancing was phased out, before being exacerbated by Russia’s invasion of Ukraine on 24 February 2022, with markets expecting a major decline in exports from Russia, Ukraine and Belarus, which are all important exporters of commodities (see Chart 5.13). Some buyers stopped purchasing oil from Russia, so Russian oil started being traded at prices significantly below the Brent benchmark (a global benchmark based on North Sea oil). The prices of some commodities (including oil) have been high by the standards of recent years, but have remained below their historical peaks in inflation-adjusted terms. However, the prices of others – notably that of gas in Europe – have reached record levels. (In the first half of 2022, the price of natural gas in Europe was, on average, four times the level seen in the United States of America.)12
Source: UN Comtrade, World Bank, IMF, Bloomberg and authors’ calculations.
Note: Average price rises are based on prices between 24 February and end-July 2022 and are expressed as a percentage of average prices over the period 2016-20.
Policy responses pursue various objectives
Policymakers have used a wide range of measures to mitigate the impact that those higher energy and food prices have on households and firms, with most countries taking action of some kind. Those measures seek to protect people’s purchasing power and minimise the risk of disruptive social unrest, which has often followed episodes of rising fuel and energy prices (see Box 5.1).
Source: EBRD and authors’ calculations.
Note: See the notes on Table 5.2 for details of the calculation of values. Administrative capacity required is calculated as one minus the ease of implementation score.
Quality-related objectives | Capacity | ||||
---|---|---|---|---|---|
Inclusive | Resilient | Green | Well-governed | Ease of implementation | |
Helps low-income households | Well-targeted, minimising overall cost | Avoids externalities (extra consumption) | Regarded as support by population | ||
Means-tested support | 1 | 1 | 0.75 | 0.75 | 0 |
Energy vouchers for households | 1 | 0 | 1 | 1 | 0.25 |
Support for alternative energy | 0.5 | 1 | 1 | 0.25 | 0 |
Fuel subsidies per unit consumed | 1 | 0 | 0 | 1 | 0.75 |
Tax cuts (such as income tax) | 1 | 0 | 1 | 0 | 0.75 |
Windfall tax on energy firms | 0 | 1 | 0.5 | 0.5 | 0.75 |
Use of energy reserves | 1 | 0 | 0.5 | 0.5 | 0.25 |
Price controls | 0.5 | 0 | 0 | 1 | 1 |
State aid (subsidies for firms) | 0 | 0.5 | 0 | 0.5 | 0.5 |
Restrictions on energy use | 0 | 0 | 1 | 0 | 1 |
Export restrictions | 0 | 0 | 0 | 0.5 | 1 |
Source: EBRD and authors’ calculations.
Note: Each score is on a scale of 0 to 1. Measures are ranked on the basis of their overall effectiveness, which is calculated by averaging the four scores for quality-related objectives.
Subsidies per unit of consumption and price controls are often used in the EBRD regions
The most common measures are fuel subsidies per unit consumed (per litre of diesel or per kWh of electricity, for instance; see Chart 5.15). By late July 2022, these had been introduced in 64 per cent of all economies in the EBRD regions and the majority of advanced comparator economies, as well as selected emerging-market comparators. For example, in February 2022 value-added tax (VAT) on district heating in Poland was reduced from 23 to 5 per cent, while in the Czech Republic the excise tax on petrol and diesel was reduced by CZK 1.5 (€0.06) per litre from June 2022. For the purposes of this analysis, reductions in ad valorem taxes on specific goods, such as excise duty on fuel or VAT on bread (as opposed to broad changes to tax rates), are considered to be subsidies per unit of consumption.
Source: EBRD and authors’ calculations.
Note: The advanced-economy comparators are Canada, Cyprus, France, Germany, Italy, Japan, Sweden, the United Kingdom and the United States of America. Emerging-market comparators are Bangladesh, Brazil, Colombia, Mexico, South Africa and Thailand.
Source: IMF fuel subsidies template and authors’ calculations.
Note: Selected comparator economies with significant subsidies are shown.
Policies in the EBRD regions are less effective, on average
On average, the policy responses of economies in the EBRD regions are less effective (across all four of the qualities in Table 5.2) than those of advanced comparator economies, with the largest differentials being observed in the areas of inclusion and the green economy (see Chart 5.17). In this analysis, policy scores for each of the four objectives (inclusion, resilience, the green economy and governance) are averaged across all of the policies that are in place in a given economy. In Chart 5.17 they are also averaged across the four objectives and across groups of economies.
Source: World Values Survey, EBRD and authors’ calculations.
Note: For each economy, policies are scored on four different objectives and average scores are calculated across all policies in place. The advanced-economy comparators are Canada, Cyprus, France, Germany, Italy, Japan, Sweden, the United Kingdom and the United States of America.
The quality of policy responses is somewhat aligned with ATQ scores
Analysis of average policy scores for each economy also suggests that cross-country differences in policies are somewhat aligned with differences in ATQ scores. In particular, the analysis in this section relates each economy’s policy scores to its ATQ scores. (For instance, a country’s green policy score is related to its ATQ score, with the same being done for resilience, governance and inclusion.)
Source: EBRD and authors’ calculations.
Note: For each economy, policies are scored on four different objectives and average scores are calculated across all policies in place. These scores are then related to the corresponding ATQ scores.
Conclusion
This overview of progress across six areas of structural reform since 2016 has revealed convergence in most areas – notably as regards competitiveness, resilience and economic integration. This contrasts sharply with the developments seen in the area of green reform, with growing divergence between greener and less green economies. This could, in part, reflect differences in the tolerance of pollution and climate-related risks across economies, whereas the desire for greater competitiveness, integration and economic resilience appears to be universal.
Indeed, the chapter has documented substantial differences across the various areas in terms of citizens’ preferences, and those preferences are, in turn, somewhat aligned with the progress of structural reforms in the respective areas. This alignment, however, is only statistically and economically significant in economies where media and the internet are relatively free from government censorship.
Most countries have introduced food or fuel subsidies, price controls or other measures in response to the high energy and food prices seen in 2022. These measures have varied widely, reflecting differences in governments’ ability to afford subsidies and implement measures requiring high levels of administrative capacity, as well as differences in policy priorities when it comes to environmental externalities and variation in the ease of communicating measures to the public. Overall, price controls and export restrictions are far more common in the EBRD regions than in advanced economies.
Box 5.1. Social unrest
As this chapter has shown, policymakers have used a wide range of measures to mitigate the impact that rising energy and food prices have on households and firms. These measures seek to protect people’s purchasing power and minimise the risk of unrest.
Source: Barrett et al. (2022) and authors’ calculations.
Note: Data for 2022 relate only to the first quarter of the year.
Box 5.2. Measuring citizens’ preferences
In order to analyse the strength of people’s preferences in different policy areas, indices for each quality of a sustainable market economy are constructed using questions from the 2017-20 round of the World Values Survey.19
Details of the questions that are used for each quality are provided below. For each question, responses are aggregated to form an overall index using the following methodology:
- A weighted average of the responses to each question is scaled by the response rate, resulting in a question-specific index with a value between 0 and 1. Each question is scaled using a min-max transformation.
- For each quality, index scores are averaged across questions to produce a composite index for the policy area in question.
- That composite index is then rescaled using a second min-max transformation, producing an overall index for each quality with a value between 0 and 1.
Competitive
Preferences in terms of competitiveness are captured by the percentage of respondents who state that “a high level of economic growth” should be a country’s first or second priority (where the other possible options are “making sure this country has strong defence forces”, ensuring “that people have more say about how things are done in their jobs and in their communities” and “trying to make our cities and countryside more beautiful”). A weighting of 1 is given to responses where economic growth is a respondent’s first choice, and a weighting of 0.5 is given to those where growth is the second priority. The index also includes participants’ views on whether private ownership of business and industry should be increased (as opposed to increasing state ownership).
Green
Preferences as regards the green economy are measured as the percentage of respondents who agree that “protecting the environment should be given priority, even if it causes slower economic growth and some loss of jobs”, as opposed to “economic growth and creating jobs should be the top priority, even if the environment suffers to some extent”.
Integration
Respondents were asked how close they feel to their village, their district, their country, their continent and the world on a four-point scale ranging from “very close” to “not close at all”. It is assumed that both (i) greater identification with the world relative to the country and (ii) greater identification with the country relative to the local community (the village or district) indicate a greater preference for economic integration.
Inclusion
Preferences in terms of income equality are based on the extent to which respondents agree that “incomes should be made more equal” (as opposed to believing that “there should be greater incentives for individual effort”). Preferences as regards gender equality are based on the extent to which respondents disagree with the following statements: “Men make better political leaders than women” and “When jobs are scarce, men should have more right to a job than women”.
Resilience
Preferences in terms of resilience are measured as the percentage of respondents who state that their country’s primary or secondary aim should be “a stable economy” (where the other possible options are “progress towards a less impersonal and more humane society”, “progress towards a society in which ideas count more than money” and “the fight against crime”). Answers favouring a stable economy are given a weighting of 1 or 0.5, depending on whether they are the respondent’s first or second choice.
Well-governed
Preferences as regards governance are based on the extent to which respondents believe that “having a strong leader who does not have to bother with parliament and elections” is either a “fairly bad” or a “very bad” way of governing (with four possible answers to this question: “very good”, “fairly good”, “fairly bad” and “very bad”).
Methodological notes
Transition indicators: six qualities of a sustainable market economy
The transition indicators reflect the judgement of the EBRD’s Office of the Chief Economist and the Economics, Policy and Governance department on the transition progress in the economies where the EBRD invests. According to this approach a sustainable market economy is characterised by six qualities: Competitive, Well-governed, Green, Inclusive, Resilient and Integrated.
This approach measures the state of each quality and its components in a given economy, as compared with the other economies in the EBRD regions and a few select developed economies,20 against a frontier. The frontier is set either by the best performance in this group of economies or by an unobserved theoretical value and provides a common benchmark against which all economies are assessed consistently and comparably. The same frontier values are also applied across the years to ensure that computed scores are comparable and capture changes in underlying indicators through time.
Assessments of Transition Qualities (ATQs) are composite indices combining information from a large number of indicators and assessments in a consistent manner. The underlying indicators within each ATQ are constructed using a wide range of sources, including national and industry statistics, data from other international organisations and affiliated databases (World Bank, IMF, UN); surveys (The Business Environment and Enterprise Performance Survey (BEEPS); Life in Transition Survey (LiTS) and assessments prepared internally by EBRD experts (see Table M.1 below for the list of indicators).
The computation of ATQ indices involves multiple steps, namely: data preparation, normalisation and aggregation. Details of each of these steps are provided below.
Data preparation and treatment of missing observations
The underlying data for the majority of indicators either enter the composite index directly or are scaled using a meaningful related measure. A number of indicators may themselves be composite indices (for example, EBRD SME index or EBRD Knowledge Economy index) and they enter the ATQ composites in index form. No further transformation is applied to the underlying indicators before normalisation. For some indicators no data is available for the current year and simple imputation methods are used.21 One method of imputation uses the latest available observation from past years, thus assuming that no change from the latest available observation has been observed. When there are no past or present observations available for a particular indicator, then, based on the judgement of EBRD experts, either the regional mean (using the EBRD classification of regions for the economies where it invests) or the observed regional minima are used to impute the missing observations.
To mitigate the effect that extreme values may have on scores, observations that lie above the 98th percentile are considered outliers and replaced by the next value within the acceptable range. Outlier detection and replacement is only applied to select continuous variables.
Normalisation
The raw data for each indicator are normalised to the same scale using the min-max normalisation method as follows:
The resulting scores are then rescaled from 1 to 10, where 10 represents the frontier for each quality. The frontier is taken to be the best performance, observed either in an economy where we invest, a comparator country or a theoretical value determined based on expert judgement.
If an observation for a country exceeds the selected frontier, then the normalised value of the indicator is capped at the frontier value. For indicators where any deviation from the frontier is undesirable, values either below or above the frontier are treated similarly (the same score is computed and assigned to two observations that are equally distant from the frontier).
Aggregation
Normalised indicators are aggregated to a single composite index (by quality) using weights determined by expert judgement (see Table M.1 for details of weights). A simple weighted averaging method is used for aggregation.
Changes to methodology from 2021
During the past year, further work on strengthening the methodology for computing ATQ indices was carried out. This work did not involve changes to the process of computation of ATQ indices and it focused largely on modifications to the set of underlying indicators. The primary purpose of this work has been ensuring that ATQs better capture the relevant phenomena and allow adequate monitoring of the pace of reforms and transformation in the region. This work resulted in the addition of new indicators, discontinuation of the use of others and use of equivalent data series from alternative sources. Details of these changes are provided below.
Overall
- The sample of economies used to calculate ATQs was expanded to include six emerging market economies, namely: Bangladesh, Brazil, Colombia, Mexico, Thailand and South Africa.
Competitive
- Following the discontinuation of the Doing Business report the ease of doing business indicator and the ease of starting a business indicator were removed. In addition, the indicator measuring progress on insolvency laws and implementation was replaced by an equivalent assessment published by the EBRD in 2022.
Well-governed
- The following Doing Business indicators have been removed: enforcement of contracts and protection of minority shareholders’ interest.
Inclusive
- The Inclusive ATQ was revised this year to reflect assessments across three pillars: human capital development, access to services and finance, and policies and norms. Some existing indicators are still reflected in this version of the Inclusive ATQ, specifically: labour force participation rate, the percentage of the population saving and borrowing from financial institutions, human capital index, women in business and law index.
Resilient
- The financial sector stability component was revised to include nine new indicators measuring capital and money market development.
Integrated
- The Doing Business indicator on electricity connection was removed. In addition, the Doing Business indicator measuring the cost of trading across borders was replaced by the World Bank ESCAP indicator measuring non-tariff costs of trading across borders.
- The ITU indicator measuring 3G mobile network coverage was replaced by an indicator measuring 4G mobile network coverage.
The following tables show, for each quality, the components used in each quality index along the indicators and data sources that were fed into the final assessments.
COMPETITIVE | ||||||
---|---|---|---|---|---|---|
Components | Sub-components | Indicators | Source | Frontier economy | Frontier value | Worst performance |
Market structures [50%] | Applied tariff rates a (weighted average) [14%] | World Bank, World Development Indicators (WDI), International Trade Centre, Market Access Map, 2020 | Georgia | 0.85 | 17.89 | |
Subsidies expense a (share of GDP) [14%] | International Monetary Fund, Government Finance Statistics, 2020 | Albania | 0.12 | 7.05 | ||
Resolving insolvency score [14%] | EBRD assessment 2022 | United States of America | 88.38 | 38.33 | ||
Number of new business entries (scaled by population) [14%] | World Bank, WDI, 2019 | Estonia | 19.43 | 0.04 | ||
SME index adjusted (1 = worst, 10 = best) [14%] | EBRD assessment, 2019 | United Kingdom | 7.73 | 3.52 | ||
Competition Law, Institutions and Enforcement index adjusted (1 = worst, 10 = best) [14%] | EBRD assessment, 2019 | United Kingdom | 8.02 | 4.89 | ||
Share of advance business services in services exports [14%] | World Bank, WDI, 2020 | United Kingdom | 82.32 | 6.55 | ||
Capacity to generate value added [50%] | Economic Complexity Index [14%] | Harvard, Centre for International Development, 2018 | Japan | 2.34 | -1.52 | |
Knowledge economy index (KEI) adjusted (1 = worst, 10 = best) [14%] | EBRD assessment, 2019 | Sweden | 8.02 | 1.92 | ||
WB Logistics Performance Index (1 = worst, 5 = best) [14%] | World Bank, WDI, 2018 | Germany | 4.27 | 1.96 | ||
Skills [14%] | World Economic Forum (WEF) Global Competitiveness Index, 2019 | No economy was at the frontier in 2022 | 84.37 | 42.9 | ||
Labour productivity (output per worker, GDP in constant 2011 int. US$ PPP) [14%] | ILOSTAT, WDI, 2021 | United States of America | 110587 | 10256 | ||
Credit to private sector b (per cent of GDP) [14%] | World Bank, WDI, 2021 | United Kingdom* | 100.00 | 11.58 | ||
Global value chain participation [14%] | UNCTAD, EBRD, 2018 | Slovak Republic | 0.81 | 0.31 |
WELL-GOVERNED | ||||||
---|---|---|---|---|---|---|
Components | Sub-components | Indicators | Source | Frontier economy | Frontier value | Worst performance |
National level governance [75%] | Quality of public governance [53%] | Regulatory quality (-2.5 = worst, 2.5 = best) [13%] | World Bank Governance Indicators, 2020 | No economy was at the frontier in 2022 | 1.78 | -2.09 |
Government effectiveness (-2.5 = worst, 2.5 = best) [13%] | World Bank Governance Indicators, 2020 | Sweden | 1.72 | -1.28 | ||
Budget transparency (1 = worst, 7 = best) [6%] | WEF Global Competitiveness Index, 2019 | No economy was at the frontier in 2022 | 92.31 | 3.00 | ||
Private property protection (1 = worst, 7 = best) [6%] | WEF Global Competitiveness Index, 2019 | Japan | 6.21 | 2.87 | ||
Intellectual property protection (1 = worst, 7 = best) [6%] | WEF Global Competitiveness Index, 2019 | Japan | 5.98 | 2.91 | ||
Burden of government regulation (1 = worst, 7 = best) [13%] | WEF Global Competitiveness Index, 2019 | Azerbaijan | 4.83 | 1.59 | ||
Political instability a [4%] | World Bank/EBRD BEEPS, 2018-20 | Montenegro | 0.01 | 0.96 | ||
Political stability and absence of violence and terrorism (-2.5 = worst, 2.5 = best) [4%] | World Bank Governance Indicators, 2020 | Canada | 1.04 | -2.05 | ||
Political and operational stability [4%] | Global Innovation Index, 2021 | Japan | 91.10 | 14.90 | ||
Government ensuring policy stability (1 = worst, 7 = best) [6%] | WEF Global Competitiveness Index, 2019 | Azerbaijan | 5.41 | 1.83 | ||
World press freedom index a (100 = least free, 0 = most free) [13%] | Reporters Without Borders, 2022 | Estonia* | 87.84 | 8.82 | ||
E-government participation [7%] | WEF Global Competitiveness Index, 2019 | Estonia* | 1.00 | 0.07 | ||
Online services index [7%] | UNDESA, 2020 | Estonia | 0.98 | 0.09 | ||
Integrity and control of corruption [20%] | Corruption perception index (0 = highly corrupt, 100 = not corrupt) [43%] | Transparency International, 2021 | Sweden | 82.00 | 19.00 | |
Perception of corruption a [14%] | World Bank/EBRD BEEPS, 2018-20 | Sweden | 2.68 | 77.91 | ||
Informality a [14%] | World Bank/EBRD BEEPS, 2018-20 | Sweden | 0.00 | 63.38 | ||
Implementation of anti-money laundering (AML)/combating the financing of terrorism (CFT) and tax exchange standards a (0 = low risk, 10 = high risk) [29%] | International Centre for Asset Recovery, 2021 | Bulgaria* | 3.12 | 8.30 | ||
Rule of law [27%] | Judicial independence (1 = worst, 7 = best) [22%] | WEF Global Competitiveness Index, 2019 | Japan | 6.19 | 1.99 | |
Efficiency of legal framework in settling disputes (1 = worst, 7 = best) [22%] | WEF Global Competitiveness Index, 2019 | No economy was at the frontier in 2022 | 5.45 | 1.86 | ||
Efficiency of legal framework in challenging regulations (1 = worst, 7 = best) [22%] | WEF Global Competitiveness Index, 2019 | No economy was at the frontier in 2022 | 5.07 | 1.79 | ||
Rule of law (-2.5 = worst, 2.5 = best) [22%] | World Bank Governance Indicators, 2020 | Sweden | 1.81 | -1.49 | ||
Effectiveness of courts a [11%] | World Bank/EBRD BEEPS, 2018-20 | Montenegro | 0.60 | 45.40 | ||
Corporate level governance [25%] | Corporate governance frameworks and practices [100%] | Structure and functioning of the board [20%] | EBRD Legal Transition Team (LTT) Corporate Governance Assessment, 2019 | Serbia | 3.55 | 1.34 |
Transparency and disclosure [10%] | EBRD LTT Corporate Governance Assessment, 2019 | Lithuania* | 4.57 | 1.41 | ||
Internal control [20%] | EBRD LTT Corporate Governance Assessment, 2019 | Lithuania* | 4.03 | 1.33 | ||
Rights of shareholders [20%] | EBRD LTT Corporate Governance Assessment, 2019 | Latvia* | 4.15 | 1.99 | ||
Stakeholders and institutions [20%] | EBRD LTT Corporate Governance Assessment, 2019 | Estonia* | 4.13 | 0.98 | ||
Strength of auditing and reporting standards (1 = worst, 7 = best) [10%] | WEF Global Competitiveness Index, 2019 | No economy was at the frontier in 2022 | 5.99 | 3.33 |
GREEN | ||||||
---|---|---|---|---|---|---|
Components | Sub-components | Indicators | Source | Frontier economy | Frontier value | Worst performance |
Mitigation [35%] | Physical indicators [37%] | Electricity production from renewable sources, including hydroelectric (per cent of total) [17%] | World Bank, International Energy Agency (IEA), 2019 | Albania | 0.97 | 0.00 |
Value added from industry (construction, manufacturing, mining, electricity, water and gas) per unit of CO2 emissions from industry (GVA (US$)/total CO2) [17%] | World Bank, IEA, 2019 | United Kingdom | 15,850.36 | 573.20 | ||
MWh consumed per tonne of CO2 emitted from electricity and heat generation (MWh/total CO2) [17%] | World Bank, IEA, 2019 | Albania | 24.45 | 0.49 | ||
GDP per tonne of CO2 emitted from residential buildings (from fuel combustion) (GDP(US$)/total CO2) [17%] | World Bank, IEA, 2019 | Sweden | ######## | 44,237.37 | ||
Number of registered vehicles per tonne of CO2 emitted from transport [17%] | World Health Organization (WHO), IEA, 2016 | Turkmenistan | 9.32 | 1.46 | ||
Agricultural sector GVA per tonne of GHG emissions from agriculture (GVA (US$) / total CO2eq) [17%] | World Bank, Food and Agriculture Organization of the United Nations (FAO), 2019 | No economy was at the frontier in 2022 | 3,939 | 0.00 | ||
Structural indicators [63%] | Market support mechanism for renewable energy production (0 = no support, 0.5 = regulatory support, 1 = revenue support) [20%] | IEA, 2021 | Canada* | 1.00 | 0.00 | |
INDC rating (0 for no INDC. 0.5 for INDC but not ratified. 1 for ratified INDC) [20%] | World Resources Institute (WRI), CAIT, 2021 | Canada* | 1.00 | 0.00 | ||
Carbon price (0 = worst, 1 = best) [20%] | World Bank, 2020 | No economy was at the frontier in 2022 | 1.00 | 0.00 | ||
Fossil fuel subsidies (per cent of GDP) a [20%] | IMF, 2017 | Sweden* | 0.00 | 11.06 | ||
Just Transition Plan [20%] | EBRD assessment, 2021 | Canada* | 1.00 | 0.00 | ||
Adaptation [30%] | Physical indicators [45%] | NDGAIN human habitat score a [25%] | Notre Dame Global Adaptation Initiative, 2018 | Egypt | 0.36 | 0.63 |
Aqueduct water stress index a [25%] | World Resources Institute (WRI), 2019 | Croatia* | 0.38 | 4.82 | ||
NDGAIN projected change in cereal yield a [25%] | Notre Dame Global Adaptation Initiative, 2018 | Sweden* | 0.00 | 0.98 | ||
Number of people affected by droughts, extreme temperatures, floods and wildfires in the last 10 years a (per 100,000 people ) [25%] | EMDAT database, 2021 | Jordan | 6.42 | 866,271.76 | ||
Structural indicators [55%] | NDGAIN agricultural capacity a [20%] | Notre Dame Global Adaptation Initiative, 2019 | Uzbekistan* | 0.23 | 0.99 | |
World Governance Indicators: Institutional Quality ( -2.5 = worst, 2.5 = best) [40%] | World Bank, World Governance Indicators, 2019 | Sweden | 1.82 | -1.61 | ||
Adaptation in INDCs (1 = there is a National Adaptation Plan, 0.5 = adaption is mentioned in INDCs, 0 = none of the above) [40%] | CGSpace, CGIAR, 2021 | Sweden* | 1.00 | 0.00 | ||
Other environmental areas [30%] | Physical indicators [37%] | Population weighted mean annual exposure to PM2.5 a [22%] | OECD, 2019 | Estonia* | 5.95 | 88.15 |
Waste intensive consumption (kg municipal solid waste/US$ household expenditure) a [22%] | Waste Atlas, 2015 | Japan | 0.01 | 0.33 | ||
Waste generation per capita (kg/cap) a [22%] | Waste Atlas, 2015 | Armenia | 149.70 | 777.00 | ||
Number of animal (terrestrial and marine) species threatened as proportion of total number assessed a [17%] | IUNC Red list, 2020 | Estonia* | 0.04 | 0.18 | ||
Number of plant (terrestrial and marine) species threatened normalised by total number assessed a [17%] | IUNC Red list, 2020 | Mongolia | 0.00 | 0.28 | ||
Structural indicators [63%] | Vehicle emission standards (0 = worst, 6 = best) [34%] | UN Environment Programme, 2021 | Sweden* | 6.00 | 0.00 | |
Municipal solid waste collected (per cent of total generated) [34%] | Waste Atlas, 2015 | Sweden* | 100.00 | 20.00 | ||
Proportion of terrestrial protected area (per cent of total area) [16%] | World Bank, 2021 | Bulgaria | 40.59 | 0.22 | ||
Proportion of marine protected areas (per cent of total area) [16%] | World Bank, 2021 | No economy was at the frontier in 2022 | 213.43 | 0.00 | ||
Cross-cutting [5%] | Number of environmental technology patents (per cent of GDP (billion US$)) [100%] | OECD, 2018 | Japan | 0.97 | 0.00 |
INCLUSIVE | ||||||
---|---|---|---|---|---|---|
Components | Sub-components | Indicators | Source | Frontier economy | Frontier value | Worst performance |
Human capital development [33%] | Labour force participation rate (% of population aged 15+) [11%] | ILOSTAT, modelled estimates, 2022 | No economy was at the frontier in 2022 | 70.13 | 37.30 | |
Labour force participation rate (gap women/men) [11%] | ILOSTAT, modelled estimates, 2022 | No economy was at the frontier in 2022 | 0.91 | 0.22 | ||
Output per worker (GDP constant 2017 international $ in PPP) [11%] | ILOSTAT, 2021 | United States of America | 134,589.00 | 10,256.00 | ||
Youth not in education, employment or training (% of youth population)a [11%] | ILOSTAT, 2021 | No economy was at the frontier in 2022 | 0.38 | 38.06 | ||
Human Capital Index [11%] | WDI, 2020 | No economy was at the frontier in 2022 | 0.84 | 0.41 | ||
Firms offering formal training to employees (% firms) [11%] | WDI, 2019 | No economy was at the frontier in 2022 | 70.30 | 3.40 | ||
Individuals with standard ICT skills (% of population aged 15+) [11%] | ITU, 2019 | No economy was at the frontier in 2022 | 47.17 | 2.85 | ||
Workers employed in occupations at risk of automating (%)a [11%] | OECD, EBRD calculations, 2019 | Jordan | 0.38 | 0.53 | ||
Workers employed in carbon-intensive sectors (%)a [11%] | Bruegel, EBRD calculations, 2019 | No economy was at the frontier in 2022 | 0.03 | 0.14 | ||
Access to finance and services [33%] | Saving at financial institutions (% of population aged 15+) [14%] | World Bank Financial Inclusion Database (FINDEX), 2021 | Sweden | 79.74 | 0.12 | |
Borrowing from financial institutions (% of population aged 15+) [14%] | World Bank FINDEX, 2021 | No economy was at the frontier in 2022 | 82.83 | 0.84 | ||
Fixed broadband subscriptions (% of population) [14%] | ITU, 2020 | France | 46.92 | 0.06 | ||
Cost of a 5GB fixed broadband basket (% GNI per capita) a [14%] | ITU, 2020 | Croatia | 0.60 | 12.08 | ||
Logistics performance index: Quality of trade and transport-related infrastructure [14%] | WDI, 2018 | No economy was at the frontier in 2022 | 4.44 | 1.96 | ||
Using safely managed drinking water services (% of population) [14%] | WDI, 2020 | Greece | 100.00 | 28.64 | ||
Using safely managed sanitation services (% population) [14%] | WDI, 2020 | No economy was at the frontier in 2022 | 98.31 | 12.18 | ||
Policies and norms [33%] | Social benefit spending by the government (% of GDP) [20%] | IMF IFS, 2020 | France | 28.90 | 2.50 | |
Equal treatment and absence of discrimination [20%] | World Justice Project, 2021 | No economy was at the frontier in 2022 | 0.84 | 0.34 | ||
Women, Business and the Law composite score [20%] | WDI, 2021 | Sweden* | 100.00 | 26.25 | ||
Disagreeing that “it is better for everyone involved if the man earns the money and the woman takes care of the home and children” (% population) [20%] | Life in Transition Survey, 2016 | Germany* | 0.92 | 0.05 | ||
Women subjected to physical and/or sexual violence in the last 12 months (% female population) a [20%] | WDI, 2016 | Slovenia | 2.00 | 28.80 |
RESILIENT | ||||||
---|---|---|---|---|---|---|
Components | Sub-components | Indicators | Source | Frontier economy | Frontier value | Worst performance |
Energy sector resilience [30%] | Liberalisation and market liquidity [50%] | Sector restructuring, corporatisation and unbundling (0 = worst, 0.67 = best) [33%] | EBRD assessment, 2021 | Estonia* | 0.67 | 0.00 |
Fostering private-sector participation (0 = worst, 0.67 = best) [33%] | EBRD assessment, 2021 | United States of America* | 0.67 | 0.00 | ||
Tariff reform (0 = worst, 0.67 = best) [33%] | EBRD assessment, 2021 | Czech Republic* | 0.67 | 0.00 | ||
System connectivity [20%] | Domestic connectivity (0 = worst, 0.67 = best) [35%] | EBRD assessment, 2021 | Czech Republic* | 0.67 | 0.09 | |
Inter-country connectivity (0 = worst, 0.67 = best) [65%] | EBRD assessment, 2021 | Germany* | 0.67 | 0.00 | ||
Regulation and legal framework [30%] | Development of an adequate legal framework (0 = worst, 0.67 = best) [50%] | EBRD assessment, 2021 | Czech Republic* | 0.67 | 0.00 | |
Establishment of an empowered independent energy regulator (0 = worst, 0.67 = best) [50%] | EBRD assessment, 2021 | Czech Republic* | 0.67 | 0.00 | ||
Financial stability [70%] | Banking sector health and intermediation [50%] | Capital adequacy ratio [9%] | IMF Financial Soundness Indicators (FSI), IMF Article IV, IHS Markit, National Authorities, Fitch – Sovereign Data Comparator, EBRD FI Risk Reports, 2021 | Moldova | 0.27 | 0.06 |
Return on assets [9%] | IMF FSI, IMF Article IV, IHS Markit, National Authorities, Fitch – Sovereign Data Comparator, EBRD FI Risk Reports, 2021 | Kazakhstan | 3.12 | -12.47 | ||
Loan to deposits ratio c [9%] | IMF FSI, IMF Article IV, IHS Markit, National Authorities, Fitch – Sovereign Data Comparator, EBRD FI Risk Reports, 2021 | No economy was at the frontier in 2022 | 1.00 | 0.29 | ||
Non-performing loans (NPLs) to total gross loans (per cent) a [9%] | IMF FSI, IMF Article IV, IHS Markit, National Authorities, Fitch – Sovereign Data Comparator, S&P BICRA, EBRD FI Risk Reports, 2021 | Estonia* | 0.41 | 54.54 | ||
Loan loss reserves to NPLs (Provisions to NPLs) b [9%] | IMF FSI, IHS Markit, National Authorities, EBRD FI Risk Reports, 2021 | Azerbaijan* | 100.00 | 15.14 | ||
Asset share of five largest banks a [9%] | World Bank Global Financial Development Database (GFDD), IMF FSSA, EBRD FI Risk Reports, 2020 | United States of America | 41.63 | 100.00 | ||
Asset share of private banks [9%] | World Bank GFDD, EBRD FI Risk Reports, IMF Article IV, IMF FSSA, Bank Focus, 2020 | Canada* | 100.00 | 0.00 | ||
Financial sector assets c (per cent of GDP) [9%] | IMF FSI, EBRD, Internal Sovereign Risk Report, Bank Focus, National Authorities, IHS Markit, 2021 | No economy was at the frontier in 2022 | 100.00 | 28.00 | ||
Credit to private sector c (per cent of GDP) [9%] | World Bank GFDD, S&P BICRA, IMF Article IV, WDI, 2021 | No economy was at the frontier in 2022 | 80.00 | 4.02 | ||
Foreign currency-denominated loans a (per cent of total loans) [9%] | IMF FSI, IMF Article IV, IHS Markit, National Authorities, 2021 | United States of America* | 0.00 | 100.00 | ||
Liquid assets to short-term liabilities (per cent) [9%] | IMF FSI, World Bank GFDD, IMF Article IV, National Authorities, EBRD FI Risk Overview, 2021 | United States of America* | 180.70 | 15.54 | ||
Alternative sources of financing [32%] | Other financial corporation’s assets b (per cent of GDP) [14%] | IMF FSI, World Bank GFDD, IMF Article IV, National Authorities, EBRD FI Risk Overview, IMF FSSA, AFDB, 2021 | Canada* | 100.00 | 0.32 | |
Legal environment for financial transactions [14%] | ISDA, ICMA, 2020 | United States of America* | 2.5 | 0.00 | ||
Capital market infrastructure [14%] | EBRD assessment, 2020 | United States of America* | 1.00 | 0.00 | ||
Investor base [14%] | OECD, IMF, Bloomberg, Swiss RE, WEF, IMF, ECB, S&P (SNL), 2020 | No economy was at the frontier in 2022 | 0.92 | 0.00 | ||
Market capitalisation b [5%] | WEF, IMF, Bloomberg, local stock exchanges, 2020 | United States of America* | 100 | 0.00 | ||
Trading to market cap b [5%] | WEF, IMF, Bloomberg, local stock exchanges, 2020 | United States of America* | 100.00 | 0.00 | ||
IPO b [5%] | WEF, IMF, Bloomberg, local stock exchanges, 2020 | No economy was at the frontier in 2022 | 0.10 | 0.00 | ||
FI debt b [4%] | Cbonds, IMF, 2020 | United States of America * | 0.10 | 0.00 | ||
Non-FI debt b [4%] | Cbonds, IMF, 2020 | United States of America * | 0.15 | 0.00 | ||
Debt diversity [7%] | Vanguard Investment, ICMA, 2020 | United States of America | 7.00 | 0.00 | ||
Money market quality [14%] | EBRD assessment, 2020 | United States of America * | 1.00 | 0.00 | ||
Regulation governance and safety nets [18%] | Is there a well-functioning deposit insurance scheme? (1 = worst, 10 = best) [25%] | EBRD assessment, 2020 | Czech Republic* | 10.00 | 1.00 | |
Do the banks have good risk management and corporate governance practices? (1 = worst, 10 = best) [25%] | EBRD assessment, 2020 | Czech Republic* | 10.00 | 1.00 | ||
Is there an adequate legal and regulatory framework in place? (1 = worst, 10 = best) [25%] | EBRD assessment, 2020 | Czech Republic* | 10.00 | 1.00 | ||
Is the supervisory body independent and competent? (1 = worst, 10 = best) [25%] | EBRD assessment, 2020 | Czech Republic* | 10.00 | 1.00 |
INTEGRATED | ||||||
---|---|---|---|---|---|---|
Components | Sub-components | Indicators | Source | Frontier economy | Frontier value | Worst performance |
External integration [50%] | Trade openness [33%] | Total trade volume (per cent of GDP, five-year moving average) [50%] | World Bank, WDI, 2021 | No economy was at the frontier in 2022 | 184.52 | 25.17 |
Number of Regional Trade Agreements [17%] | World Trade Organization (WTO), 2021 | Germany* | 46.00 | 1.00 | ||
Binding overhang ratio a, b (%) [17%] | WTO, 2021 | Germany* | 0.00 | 142.30 | ||
Number of non-tariff measures a [17%] | WTO, 2021 | No economy was at the frontier in 2022 | 0.00 | 5,439.00 | ||
Investment openness [33%] | FDI net inflows (per cent of GDP, five-year moving average) [50%] | IMF, International Investment Position Statistics, 2021 | Estonia* | 0.10 | -0.01 | |
Number of bilateral investment agreements [25%] | UNCTAD, 2021 | No economy was at the frontier in 2022 | 183.00 | 8.00 | ||
FDI Restrictiveness indicator a [25%] | OECD, 2020 | Slovenia | 0.01 | 0.29 | ||
Portfolio openness [33%] | Non-FDI inflows (per cent of GDP, five-year moving average) [50%] | IMF, International Investment Position Statistics, 2021 | Cyprus | 0.06 | -0.06 | |
Financial openness index (Chinn-Ito) [50%] | Chinn-Ito webpage, 2019 | United States* | 2.32 | -1.92 | ||
Internal integration [50%] | Domestic transport [33%] | Road connectivity a [25%] | EBRD assessment, 2019 | United States | 107.53 | 309.27 |
Quality of non-road transport infrastructure [25%] | WEF Global Competitiveness Index, 2019 | Japan | 89.92 | 24.25 | ||
Competence and quality of logistics services (1 = worst, 5 = best) [13%] | World Bank, LPI database, 2018 | Germany | 4.31 | 1.96 | ||
Tracking and tracing of consignments (1 = worst, 5 = best) [13%] | World Bank, LPI database, 2018 | No economy was at the frontier in 2022 | 4.38 | 1.84 | ||
Timeliness of shipments (1 = worst, 5 = best) [13%] | World Bank, LPI database, 2018 | No economy was at the frontier in 2022 | 4.45 | 2.04 | ||
Proportion of products lost to breakage or spoilage during shipping a [13%] | World Bank/EBRD BEEPS, 2018-20 | Estonia | 0.00 | -1.70 | ||
Cross-border transport [33%] | Quality of customs and border management, trade and transport infrastructure and ease of arranging shipments (1 = worst, 5 = best) [50%] | World Bank, LPI database, 2018 | No economy was at the frontier in 2022 | 4.14 | 1.95 | |
Cost of trading across borders [50%] | ESCAP – World Bank trade cost database, 2020 | No economy was at the frontier in 2022 | 107.97 | 392.08 | ||
Energy and ICT [33%] | Quality of electricity supply (1 = worst, 7 = best) [25%] | WEF Global Competitiveness Index, 2017 | No economy was at the frontier in 2022 | 6.78 | 1.65 | |
Electric power transmission and distribution losses as percentage of domestic supply a [25%] | IEA, 2019 | No economy was at the frontier in 2022 | 2.34 | 23.73 | ||
Broadband subscription (per 100 habitants) [13%] | International Telecommunications Union (ITU), 2020 | France | 46.92 | 0.06 | ||
Number of internet users (per cent of population) [13%] | ITU, 2020 | Canada | 96.97 | 17.99 | ||
Level of competition for internet services (50 = monopoly, 75 = partially competitive, 100 = competitive) [6%] | World Bank, The Little Data Book 2017 | United States* | 100.00 | 50.00 | ||
Mobile broadband basket price a [6%] | ITU, 2021 | Germany | 0.15 | 3.40 | ||
International internet bandwidth per internet user [6%] | ITU, 2020 | United Kingdom* | 350,370 | 0.00 | ||
4G coverage (per cent of population) [6%] | ITU, 2020 | Sweden* | 100.00 | 75.70 |
* Additional economies are at the frontier. Further information is available on request.
a Inverted before normalisation.
b Capped at frontier.
c Mirrored from frontier.
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