Heterogeneity of technological regimes and banking efficiency in former socialist economies

Cost efficiency of banks in 20 former socialist emerging economies is analyzed using a latent class stochastic efficiency frontier model that explicitly accounts for unobserved differences in technological regimes due to the heterogeneity of economic environments in which the banks are operating. We find that banking systems in former socialist emerging economies are characterized by three distinct technological regimes. Based on the estimated efficiency scores we group the countries into three categories and provide an intuitive interpretation of these three regimes.     

Polarization of the worldwide distribution of productivity

We employ data envelopment analysis (DEA) methods to construct the world production frontier, which is in turn used to decompose (labor) productivity growth into components attributable to technological change (shift of the production frontier), efficiency change (movements toward or away from the frontier), physical capital deepening, and human capital accumulation over the 1965–2007 period. Using this decomposition, we provide new findings on the causes of polarization (the emergence of bimodality) and divergence (increased variance) of the world productivity distribution. First, unlike earlier studies, we find that efficiency change is the unique driver of the emergence of a second (higher) mode. Second, while earlier studies attributed the overall change in the distribution exclusively to physical capital accumulation, we find that technological change and human capital accumulation are also significant factors explaining this change in the distribution (most notably the emergence of a long right-hand tail). Robustness exercises indicate that these revisions of earlier findings are attributable to the addition of (more recent) years and a much greater number of countries included in our sample. We also check to see whether our results are changed by a correction for the downward bias in the DEA construction of the frontier, concluding that these corrections affect none of our major findings (essentially because the level correction roughly washes out in changes.)     

Estimating global frontier shifts and global Malmquist indices

The Malmquist index is a measure of productivity changes, of which an important component is the frontier shift or technological change. Often technological change can be viewed as a global phenomenon, and therefore individual or local measures of technological changes are aggregated into an overall measure, traditionally using geometric means. In this paper we propose a way of calculating global Malmquist indices and global frontier shift indices which provides a better estimation of the true frontier shift and furthermore is easy to calculate. Using simulation studies we show how this method outperforms the traditional aggregation approach, especially for sparsely populated production possibility sets and for frontiers that also change shape over time. Furthermore, our global indices can be used for unbalanced panels without disregarding any information. Finally, we show how the global indices are meaningful for calculating differences between frontiers from different groups rather than different time periods as illustrated in a small case study of bank branches in different countries.      

GENDER PAY GAPS IN THE FORMER SOVIET UNION: A REVIEW OF THE EVIDENCE

The goal of this paper is to examine the patterns and movements of the gender pay gaps in the countries of the former Soviet Union (FSU) and to place them in the context of advanced economies. We survey over 30 publications and conduct a meta‐analysis of this literature. Gender pay gaps in the region are considerable and above the levels observed in advanced economies. Similar to advanced economies, industrial and occupational segregation widen the gaps in the FSU countries, whereas gender differences in educational attainment tend to shrink them. However, a much higher proportion of the gaps remains unexplained, pointing toward the role of unobserved gender differences related to actual and perceived productivity. Over the last 25 years, the gaps contracted in most FSU countries, primarily due to the reduction in the unexplained portion. Behind the contraction at the mean are different movements in the gap across the pay distribution. Although the glass‐ceiling effect has diminished in some FSU countries, it has persisted in others. We investigate the reasons underlying these findings and argue that the developments in the FSU region shed new light on our understanding of the gender pay gaps.     

Productivity, convergence and policy: a study of OECD countries and industries

This paper analyses trends in labour productivity and its underlying determinants in a panel of OECD countries from 1979 to 2002. Data Envelopment Analysis (DEA) is used to estimate a Malmquist measure of multifactor productivity (MFP) change. We decompose the growth in labour productivity into (i) net technological change (ii) input biased technical change (IBTC) (iii) efficiency change and (iv) capital accumulation. We analyse the effect of each of these factors in the transition towards the equilibrium growth paths of both labour productivity and per capita GDP for the OECD countries, controlling for the effects of different policies and institutions. The results indicate that on average gaps in productivity or income levels are narrowing down although there is no evidence to suggest that the entire OECD area comprises a single convergence “club”. Using kernel estimation methods we find that that labour productivity and per capita GDP are settling toward a twin peak (bimodal) distribution. Panel unit root tests over an extended (1960–2001) period provide general support for the convergence hypothesis. Analysis of the contributions of productivity growth within industries and sectoral composition changes show that aggregate productivity change is predominantly driven by ‘net’ within sector effects with very little contribution emerging from sectoral shifts (the ‘in-between’ static or dynamic effects resulting from higher or above average productivity industries gaining employment shares or low productivity industries losing shares).     

A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies

This paper uses Bayesian stochastic frontier methods to measure the productivity gap between Poland and Western countries that existed before the beginning of the main Polish economic reform. Using data for 20 Western economies, Poland and Yugoslavia (1980–1990) we estimate a translog stochastic frontier and make inference about individual efficiencies. Following the methodology proposed in our earlier work, we also decompose output growth into technical, efficiency and input changes and examine patterns of growth in the period under consideration. This revised version was published online in July 2006 with corrections to the Cover Date.     

Economies in Transition: How Important Is Trade Openness for Growth?*

We investigate the effect of trade openness on economic growth in transition countries using a transparent statistical methodology that leads to data‐driven case studies. In particular, we employ synthetic control methods in a panel of transition economies and compare GDP growth in treated (that is, open) countries with growth in a convex combination of similar but untreated (that is, closed) countries. We find that trade liberalization tends to have a positive effect on the pattern of real GDP per capita. One of our most robust results shows that making the transition without opening up to trade considerably hampers growth.     

Reconciling the Porter hypothesis with the traditional paradigm about environmental regulation: a nonparametric approach

This paper estimates the impact of pollution abatement investments on the production technology of firms by pursuing two new directions. First, we take advantage of recent econometric developments in productivity, efficiency analysis and nonparametric kernel regression by adopting a conditional nonparametric frontier analysis. Second, we focus not only on the average effect but also search for potential nonlinearities. We provide new results suggesting that pollution abatement capital affects with a bell-shaped fashion technological catch-up (inefficiency distribution) and does not affect technological change (shifts in the frontier). These results have relevant implications both for modeling and for the purposes of advice on environmentally friendly policy.     

Estimating Radial Measures of Productivity Growth: Frontier vs Non-Frontier Approaches

In this paper, we propose an alternative econometric framework for estimating and decomposing productivity change that does not require a distribution for inefficiency or the uncorrelatedness between inefficiency and the regressors. We develop our methodology for the input-oriented radial measure of productivity change and establish that this equals the negative of the time change in the log cost function. Our econometric framework is based on a fixed-effects, multiple-output cost frontier, where we decompose productivity change into discrete shifts in the frontier and changes in firm efficiency levels relative to the frontier. We also show that the standard non-frontier specification is nested within our frontier model and thus can produce different estimates of productivity change. Using a panel of twelve US railroads from 1951 to 1975, our estimated cost frontier suggests average annual productivity growth of roughly 0.3 percent, with efficiency change rising then falling over the period. Specification tests reject the non-frontier model, which yields smaller gains in productivity.     

Efficiency and Technological Change in the U.S. Brewing Industry

This study demonstrates that the measurement of technological change and economic efficiency are tightly linked. Efficiency measures may depend on carefully controlling for technological change, while tests of technological change may be sensitive to empirical model specifications. Moreover, the study underlines Solow's (1994) and Romer's (1994) admonition that econometricians should pay attention to industry and institutional evidence in building models of technological change. The empirical results presented here suggest that there has been substantial technological change in the U.S. brewing industry from 1950 to 1992. This occurred in the form of a dramatic shift in technology beginning with the introduction of super breweries in about 1972. There has also been a substantial increase in scale economies, which undoubtedly caused many inefficiently small firms to exit the industry during the 1960s and 1970s. Further results suggest that a more complete specification of technological change and the stochastic nature of the frontier production function leads to higher and more tenable estimates of efficiency.     

The World Technology Frontier: What Can We Learn from the US States?*

We re‐estimate the world technology frontier non‐parametrically using a dataset covering OECD country‐level data and US state‐level data on GDP per worker and the stocks of physical capital, unskilled labour and skilled labour. The auxiliary use of US state‐level data significantly reduces the upward bias in cross‐country estimates of technical efficiency, and so does allowing for imperfect substitutability between skilled and unskilled labour. We then use our adjusted estimate of the world technology frontier in a series of decompositions of productivity differences and sources of economic growth in the OECD in 1970–2000, including also ‘appropriate technology vs. efficiency’ decompositions.     

The impact of oil prices and the financial market on cost efficiency in the insurance and Takaful sectors: Evidence from a stochastic frontier analysis

The Gulf Cooperation Council’s (GCC) insurance industry, including conventional insurance and Takaful, has witnessed remarkable growth during the last decade. However, the economies of this region rely on oil as the primary stream of revenue and lack development in financial markets. This could affect the insurance industry. For this reason, this paper examines the impact of oil prices and the financial market on the cost efficiency of the insurance and Takaful sectors in GCC countries using a stochastic frontier cost function with data from 2009–2016. The results show that the relationship between oil prices and efficiency changes from positive to negative when the prices increase, whereas the relationship between the financial market and efficiency is negative. No clear evidence of the impact of oil prices on efficiency arises from the differences between conventional insurance and Takaful. However, there are differences regarding the financial market, with a negative impact on conventional insurance and a positive one on the Takaful business. The results of this study have implications for regulators and management. The Takaful industry is rapidly growing compared to conventional insurance in the GCC and, therefore, the financial market may have added benefits for the GCC region. However, caution is required in relation to the impact of the financial market on conventional insurance. Furthermore, management may require the development of strategies to deal with the nature of GCC economies to avoid shocks to oil prices.     

MEASUREMENT AND DETERMINANTS OF MULTI-FACTOR PRODUCTIVITY: A SURVEY OF LITERATURE

This paper surveys and synthesizes fast-growing literature on the measurement and determinants of multi-factor productivity (MFP). We identify three strands of the literature to measure MFP: the first is growth accounting, which decomposes observed economic growth into the contribution of factor inputs and technological change, called the Solow Residual; the second is index number methods, accompanied by frontier techniques; the third is growth regressions and econometric methods used to estimate productivity across countries and regions. We keep our focus on assessing the major strengths and weaknesses of commonly used methods for MFP measurement and categorize existing literature on the determinants of MFP growth into macroeconomic and institutional factors. We attempt to provide a reassessment and thematic survey of literature on the drivers of aggregate productivity, enabling policymakers to formulate effective economic policy.     

World Economic Prospects

Overview: Oil price slump boosts growth forecasts

• Oil prices have fallen further over the past month, with Brent dropping below US$50 per barrel. Prices are now down over 50% from their June 2014 peak levels. We do not expect any significant supply response (either from Saudi Arabia or US shale producers) to come through until late this year so low prices will persist for some time.
• This is a positive development for world growth, though the impact will be uneven across countries. Based on our new oil price forecast of US$55/barrel for 2015, we estimate that the oil bill for ten leading industrial economies, (accounting for over 60% of world GDP) will be US$440 billion lower than it would have been based on our June 2014 oil forecasts.
• This is around 1% of their combined GDP, money potentially free to be spent on other goods and services, including those of their main trading partners.
• US consumer sentiment already shows signs of reacting positively and with other US consumer fundamentals also improving we have upgraded our 2015 GDP growth forecast to 3.3% from 3% last month.
• We have also upgraded our forecasts for other advanced economies such as the Eurozone and Japan, where lower prices should be a flip to hardpressed consumers in particular.
• For the emerging markets, the slide in oil has starkly different consequences for different countries. Oil producers will be losers, most strikingly Russia where we now see GDP down over 6% this year – with financial instability exacerbating the oil effect. But China and India should both gain.
• Lower oil prices will also ease the external pressures some emergers have felt in recent months – reducing the risk of further hikes in domestic interest rates resulting from inflation and currency pressures.
• We now see world growth at 2.9% in 2015, up a tenth from last month and an increase from 2.6% growth last year. This is our first upgrade to the global growth forecast since August 2014.

     

The role of environmental factors in growth accounting

This paper explores a relatively new methodology, the directional distance function method, to analyse productivity growth. The method allows us to explicitly evaluate the role that undesirable outputs of the economy, such as carbon dioxide and other greenhouse gases, have on the frontier production process which we specify as a piecewise linear and convex boundary function. We decompose productivity growth into efficiency change (catching up) and technology change (innovation). We test the statistical significance of the estimates using recently developed bootstrap methods. We also explore implications for growth of total factor productivity in the OECD and Asian economies. Copyright © 2004 John Wiley & Sons, Ltd.     

Technological Change and Transition: Relative Contributions to Worldwide Growth During the 1990s*

In this paper we use the Kumar and Russell [American Economic Review (2002) Vol. 92, pp. 527–548] growth‐accounting procedure to examine cross‐country growth during the 1990s. Using a data set comprising developed, newly industrialized, developing and transitional economies, we decompose the growth of output per worker into components attributable to technological catch‐up, technological change and capital accumulation. In contrast to the study by Kumar and Russell, which concludes that capital deepening is the major force of growth and change in the world income per worker distribution over the 1965–90 period, our analysis shows that, during the 1990s, the major force in the further divergence of the rich and the poor is due to technological change, whereas capital accumulation plays a lesser and opposite role. Finally, although on average we find that transitional economies perform similar to the rest of the world, the procedure is able to discover some interesting patterns within the set of transitional countries.     

Scenarios for long‐term world growth

• In the second of two articles on long‐term world growth, we present a set of stylised scenarios for world growth in the next decade. Our baseline forecast, which sees growth edging down, is compared to scenarios based on ‘lost decades’ in China and India, lower productivity and investment growth and a bigger drag from excess debt. The more likely of these scenarios could cut world growth by around 0.5 percentage points per year, rising to a 1.5 percentage point cut for the most extreme scenario.
• Our baseline forecast assumes productivity and investment grow at a similar pace in the next decade to the past ten years. But there are downside risks to productivity growth, especially in Emerging Markets (EMs). And with investment in China and in commodity exporters slowing, our investment forecast relies on a significant rebound in the major economies.
• Demographic factors are a significant downside risk to our forecast. The negative impact of demographic changes on growth in Japan since the 1990s was not generally foreseen. This risk exists in the US and Europe but also in emerging Asia, a particular concern given that the latter region accounted for over 50% of world growth in 2000–14.
• Growth in commodity‐exporting economies could undershoot our current predictions. Historical evidence suggests a danger that the drop in commodity prices could extend for several more years. Even with zero real growth in commodity prices, aggregate GDP growth in the main commodity exporters might only be around 2.5% per year.
• Another risk area is debt. International evidence suggests debt ratios above certain thresholds slow growth. We find that countries accounting for 44% and 31% of world GDP respectively exceed these estimated public and corporate debt thresholds. But the share is lower, and has dropped, for household debt, thanks to deleveraging in the G7.

     

World Economic Prospects

Overview: Global upswing delayed

• This month sees our global GDP growth forecast for 2015 revised down to 2.7%, implying no improvement from 2014. At the start of the year, we expected world growth for 2015 at 2.9%.
• A key factor behind the slippage in our global forecast has been a softening of activity in the US. The balance of economic surprises (actual data versus expected) has deteriorated sharply in recent months. As a result, we now expect US growth at 2.7% this year, compared to 3.3% at the start of 2015.
• We are wary of reading too much into the most recent data, as the US and other advanced economies also went through ‘soft patches’ at the starts of both 2013 and 2014, but recovered. Also, the balance of economic surprises for the G10 is only moderately negative – and is strongly positive for the Eurozone.
• One area of concern is sluggish US consumption recently – despite lower oil prices. But with labour market conditions favourable and disposable income growing solidly, we expect this to prove a blip. And the evidence from advanced economies as a whole suggests lower oil prices have boosted consumers.
• There are nevertheless genuine drags on global growth. The strong dollar appears to be weighing on US exports and investment, and curbing profits. It is also damaging growth in some emerging markets through its negative impact on commodity prices and capital flows and via balance sheet effects (raising the burden of dollar‐denominated debt).
• Meanwhile, this month also sees a fresh downgrade to our forecast for China – GDP is now expected to rise 6.6% this year versus 6.8% a month ago. This reflects weakness in a number of key indicators and also the likely impact of a squeeze on local government finances from the property sector slump.
• With the US and China representing a third of global GDP, slower growth there will also tend to retard world trade growth. We continue to expect world GDP growth to reach 3% in 2016, but 2015 now looks like being another year of sub‐par global growth.

     

Environmental regulation,total factor productivity,and enterprise duration: Evidence from China

Environmental regulation has been confirmed to have an important impact on enterprise productivity, which is regarded as a crucial factor of enterprise duration. However, existing studies have paid little attention to how environmental regulation affects enterprise duration. Using firm‐level data from the Chinese Industrial Enterprises Database (2003–2007) and the stochastic frontier analysis method, we estimate enterprise total factor productivity (TFP) and its four decomposed components (scale efficiency change, technological change, factor allocation efficiency change, and technical efficiency change). Meanwhile, we adopt a comprehensive index to measure the environmental regulation intensity. Furthermore, we use the linear probability model and the proportional hazards model to investigate the effect of environmental regulation on enterprise duration through the mediating role of enterprise TFP. The results show that although environmental regulation per se negatively impacts on enterprise duration, environmental regulation can present a synthetic positive effect on enterprise duration due to its positive effect on enterprise TFP. Specifically, environmental regulation significantly mitigates the scale efficiency and technical efficiency of regulated enterprises. It also stimulates regulated enterprises' technological innovation and improves their factor allocation efficiency. In addition, state‐owned and large‐scale enterprises are more malleable when facing environmental regulations. We propose that the government should encourage enterprises to innovate and improve the allocation efficiency of production factors, so as to achieve the purpose of controlling environmental pollution in stages while extending enterprise duration.