Global value chain and growth convergence: Applied especially to China

We propose a new convergence potential indicator for standard growth convergence regressions: the global value chain (GVC) position index, measured by the contribution of high-skilled labour in total domestic value added. Our convergence indicator can avoid the lagged dependent variable problem discussed in Barro (2015 and 2016) and deliver more accurate forecasts for China’s GDP growth than GDP per capita does. Using the GVC position index, we predict that China’s growth potential remains at 7–8% between 2010 and 2015, while the predictions using GDP per capita as the convergence potential indicator are much lower.     

Distribution Dynamics and Cross‐Country Convergence: A New Approach

Distribution dynamics is a method for studying the evolution in time of an entire cross‐section distribution and has been initially employed to assess cross‐country convergence of per capita incomes. It has subsequently seen a widespread application in many different economic areas. When describing the law of motion of the distribution as a Markovian stochastic process, working in a discrete state‐space set up has several advantages, but the arbitrary discretisation of a continuous state‐space process has the undesired effect of removing the Markov property. This paper outlines a rigorous method for discretising a continuous state‐space Markov chain. The method is then applied to the distribution of per capita income across countries to reassess the (non‐) convergence phenomenon. It is found that the long run polarisation of per capita incomes across countries emerges even more dramatically than in previous studies.     

Portugal–EU Convergence Revisited: Evidence for the Period 1960–2003

This paper uses the stochastic approach to convergence to investigate whether real per capita GDP in Portugal has been converging to the EU15 average. The estimation accounts for conditional convergence, transitional dynamics and up to two structural breaks. It is found that per capita GDP in Portugal has indeed converged to the EU15 average, but the pace of convergence has not been uniform along time. In particular, a slow down in the convergence process is identified in 1974. This result depends, however, as to whether the choice of this break-date is viewed as uncorrelated with the data. No evidence of acceleration in the speed of convergence is found after EC accession, in 1986.An earlier version of this paper was presented at the Fifty-Ninth International Atlantic Economic Conference, London, England, March 9–13, 2005. Helpful suggestions from the conference participants and Luis Catela Nunes are acknowledged. The author expresses his gratitude for the financial support of the Portuguese Foundation for Science and Technology (FCT), under research grant POCI/EGE/55423/2004 (partially funded by FEDER).     

Convergence among five industrial countries (1870–1994): Results from a time varying cointegration approach

In this paper, we check the hypothesis of a time varying cointegration relation between four industrial countries per capita GDPs and US per capita GDP on the period from 1870 to 1994. Park and Hahn (1999) give the methodology. Results confirm the hypothesis of time evolving cointegration in all cases. Tests on the parameters of these cointegration relations show that, from the 1980s onwards, we can accept the hypothesis of stochastic convergence between France, Germany and Japan, on one hand, and the United States on the other.First version received: December 2001 / Final revision received: September 2003     

Are Indian States Converging in the Post-Reform Period?: An Empirical Inquiry

This paper studies the convergence phenomenon for 23 states of India for the period 1981 to 2001. The decades of the 1980s and the 1990s has been studied separately to comment on the convergence behaviour in the pre reform and post reform period. In addition to that of per capita SDP, convergence of per capita output emanating from the agriculture, industry and the services sector has been analysed to get a deeper insight. Both sigma (σ) convergence and beta (β) convergence have been examined. The study finds absence of sigma (σ) convergence and unconditional beta (β) convergence of per capita NSDP both in the 1980s and 1990s. However, conditional beta (β) convergence estimates reveal that the poorer states are catching up with their richer counterparts in the 1990s. The panel GMM estimates reveal that Indian states converged to their steady state output at a higher rate in the 1990s compared to the 1980s. At the sectoral level, Industry had a higher speed of convergence than agriculture in both decades. Further, divergence rather than convergence is observed for the services sector in both decades.

     

Values,institutions and the rise of Eastern Europe

We study the convergence of output per capita in a sample of 37 European countries to the German real GDP per capita level during the period 1999–2014 with the aim of testing whether the speed of convergence is uniform or depends on institutions, such as membership of the European Union, the euro, or values. The results suggest that the post‐communist economies are converging more rapidly than other countries in the sample and more so the closer they are integrated into the European Union. Moreover, we find that certain values are conducive to the catching up process and that it has generated increased job satisfaction and male labour force participation.     

Beyond GDP: an analysis of the socio-economic diversity of European regions

ABSTRACT

This paper aims to analyze the socioeconomic diversity of the European Union (EU-28) regions from a dynamic perspective. For that purpose, we combine a series of exploratory space-time analysis approaches to multiple Factor Analysis (MFA) applied to a large range of indicators collected at the NUTS-2 level for the period 2000–2015 for the EU-28. First, we find that the first factor of MFA, interpreted as economic development (ECO-DEV), is spatially clustered and that a moderate convergence process is at work between European regions from 2000 to 2015. Second, when comparing these results with those obtained for Gross Domestic Product (GDP) per capita, we show that the convergence pattern detected with GDP per capita is more pronounced: ECO-DEV adjusts slower over time compared to GDP per capita. Third, pictures provided by the remaining interesting factors, capturing educational attainment, population dynamics and employment, are very different.     

Openness,growth convergence and China’s development prospects

ABSTRACT

This paper examines China’s long-term growth prospects and the potential drivers of future growth, based on cross-country productivity convergence and China’s featured demographic evolution. In a nonlinear open economy catch-up growth model, per capital GDP growth of the followers depend on that of the leading economy and time varying convergence of the relative per capita GDP. Comparable open economies of China are identified in terms of relative per capita GDP and the historical data of which are used to project China’s trajectory of productivity convergence and then the growth of per capita GDP. Projection shows China’s future GDP growth will gradually descend from 6.6–6.7% (2016–2020) to 2.6–2.7% (2046–2050) in low variant. Predictions under medium and high variants are provided as well. The importance of further opening-up domestic markets, elimination of birth control policies and accumulation of human capital in the process of promoting urbanization are highlighted and have significant implications for the economic restructuring and transformation of China.

Abbreviations: ICRG: International Country Risk Guide; IMF: International Monetary Fund     

Effects of exports on productivity and growth in India: an industry–based analysis

This study analyses the effects of exports on the level of output per capita using the panel estimates of an extended version of the Mankiw, Romer and Weil (The Quarterly Journal of Economics, CVII, 407-37, 1992) model, and on the total factor productivity using the time series estimators. The analysis is carried out for ten industries in the manufacturing sector in India. The results do not provide any evidence of convergence, and instead support the contrary evidence of divergence among industries. The exports do not induce convergence and instead seem to accentuate the process of divergence among industries. The study provides some evidence for the significant effects of exports on the level of output per capita and TFP in the manufacturing sector. The effects of exports on TFP are significant in half of the sample industries, while in the remaining half these are statistically insignificant.     

Convergence across industrialised countries (1890–1989): new results using time series methods

Augmented Dickey Fuller (ADF) and Kalman filter convergence tests are applied to annual GDPs per head to 16 industrialised countries from 1890 to 1989. Results favour convergence towards the US with a structural break following the Second World War. Estimates suggest that steady-states were higher after the war and that speeds of convergence are different across countries. The Kalman filter method dismissed the no convergence hypothesis more often than its ADF counterpart. This could explain the apparent contradiction in earlier empirical work on similar data sets (cross-section methods tended to favour convergence while time series methods were unable to dismiss the no convergence hypothesis.) First version received: February 1996/final version received: September 1997     

中国地区经济增长与能源消费强度差异分析

本文假设我国西部与东部地区的能源消费强度差异是西部与东部地区人均GDP差异的函数,然后同其他回归变量一起检验这两个变量之间的关系,并通过使用面板数据计量经济学模型进行实证估计。本文的研究结论为:第一,总体而言,西部与东部地区的人均GDP差异存在收敛,随着人均GDP的收敛,西部与东部地区的能源消费强度差异也是收敛的,但收敛的速度慢于人均GDP的收敛速度。第二,不同西部省份在经济增长过程中的能源使用效率是收敛还是发散存在差异。本文的政策含义是:政府在制定区域经济发展战略时,要鼓励和引导各地区充分利用能源禀赋以及能源利用效率方面的差异进行合作,走能源节约型的可持续的区域平衡增长道路。     

THE CONVERGENCE IN PRODUCT‐LEVEL RELATIVE PRODUCTIVITY ACROSS PROVINCES

This paper uses highly disaggregated data to analyze the convergence process in product‐level relative productivity across Spanish provinces. Over the period 1988‐2013 there is a 53 per cent reduction in product‐level relative productivity differences across provinces. The speed of convergence in product‐level productivity is faster than in income per capita. Provinces that are geographically close, have strong ties and share similar factor endowments become more similar in product‐level relative productivities.     

Convergence in per capita health expenditures and health outcomes in the OECD countries

Our analysis of 19 Organization for Economic Co-operation and Development (OECD) countries over the period 1972 to 2006 provides evidence of convergence in per capita health care expenditures for 17 countries, while the US and (to a lesser degree) Norway follow a different path. A simple decomposition of per capita health expenditures reveals that the divergence of the US comes from the divergence of the ‘ratio of health care expenditures to Gross Domestic Product (GDP)’ component, while Norway's divergence is mainly caused by the ‘labour productivity’ component. Interestingly, our results suggest that convergence in per capita health expenditures among the 17 OECD countries does not lead to convergence in health outcomes. Finally, we extend our analysis to examine convergence in various determinants of health expenditures.     

Economic openness and income growth in developing countries: a regional comparative analysis

This article examines and compares the openness–growth relationship between the high-performing Asian economies (HPAEs) and the rest of the developing world (Sub-Saharan Africa-SSA, South East Asia-SEA and Latin America and Caribbean-LAC). We applied the SYS-GMM estimator to a dynamic standard endogenous growth model which relates economic openness to real per capita income growth. A few key findings emerged from this study. First, economic openness led to increase in real per capita GDP growth in HPAEs and SSA, but not in LAC and SEA. Second, openness to trade accelerated income convergence among countries in SSA, SEA, and HPAEs, however, whereas foreign direct investment inflows accelerated income convergence only in SSA, it rather de-accelerated income convergence in HPAEs. Thirdly, the HPAEs recorded higher positive effect of openness on real per capita GDP growth than any of the other developing regions because they created sufficient stock of human capital that enhanced their absorptive capacity of imported advanced technology. They also created a more stable macroeconomic environment which consolidated the income growth gains from openness. The results of this study highlight the importance of the implementation of policies that are complementary to economic openness in promoting economic growth in the developing world.     

Europe's income convergence and the latest global financial crisis

This paper examines the effects of the 2008 financial crisis on economic growth and convergence across European countries from 1973 to 2012. Employing cross-sectional and dynamic panel data techniques, the results show that the global financial crisis has brought a greater absolute convergence rate rather than divergence, affected richer members more heavily and, presumably, allowed less developed members to recover more quickly. We find evidence that creating the European Union has contributed toward economic growth and convergence; meanwhile, no similar evidence is found concerning the European Monetary Union. Moreover, we present evidence that both the average output per capita and the rate of convergence during the financial crisis fell around 7%.     

Catching Up and Convergence: Long-run Growth in East Asia

The paper attempts to combine the traditional learning model with the recent theory of economic growth using Maddison's long‐run real GDP per capita data of the three fastest growing countries in East Asia: Korea, Taiwan, and Japan. The authors first explain games of catching‐up among nations, and then explain the learning coefficients of Taiwan and Korea with Japan and the United States through periods before and after World War II. The model of leaning leads to the logistic model of economic growth of convergence between two countries. Using time‐series data, the coefficients of a logistic model are estimated to confirm that the real GDP per capita of Taiwan and Korea are converging to that of Japan and the United States, respectively. Similarly, Japan's GDP per capita converges to that of the United States. The time required for finite convergence for these countries is also estimated.     

Regional convergence of growth,inequality and poverty in India—An empirical study

The paper attempts to examine whether there is regional convergence of per capita consumption, inequality and poverty across various states in India. Using panel unit root tests that are robust to cross-sectional dependence, we find that inequality and poverty indicators converge at both rural and urban levels. Further, per capita consumption converges at urban level but not at rural level. Based on factor analysis, we find two groups of states for rural sectors, viz., low-growth and high-growth states, for each of which per capita consumption converges. We also attempt at identifying the responsible entities — central or state governments or both in cases where convergence is not achieved.     

Reopening the convergence debate: A new look at cross-country growth empirics

There are two sources of inconsistency in existing cross-country empirical work on growth: correlated individual effects and endogenous explanatory variables. We estimate a variety of cross-country growth regressions using a generalized method of moments estimator that eliminates both problems. In one application, we find that per capita incomes converge to their steady-state levels at a rate of approximately 10 percent per year. This result stands in sharp contrast to the current consensus, which places the convergence rate at 2 percent. We discuss the theoretical implications of this finding. In another application, we perform a test of the Solow model. Again, contrary to prior reults, we reject both the standard and the augmented version of the model.     

TESTING CATCHING‐UP BETWEEN THE DEVELOPING COUNTRIES: “GROWTH RESISTANCE” AND SOMETIMES “GROWTH TRAGEDY”

This paper provides empirical evidence that there is no convergence between the GDP per‐capita of the developing countries since 1950. Relying upon recent econometric methodologies (non‐stationary long‐memory models, wavelet models and time‐varying factor representation models), we show that the transition paths to long‐run growth (the catch‐up dynamics) are very persistent over time and non‐stationary, thereby yielding a variety of potential steady states (conditional convergence). Our findings do not support the idea according to which the developing countries share a common factor (such as technology) that eliminates per‐capita output divergence in the very long run. Instead, we conclude that growth is an idiosyncratic phenomenon that yields different forms of transitional economic performance: growth tragedy (some countries with an initial low level of per‐capita income diverge from the richest ones), growth resistance (with many countries experiencing a low speed of growth convergence), and rapid convergence.     

Income distribution dynamics across European regions: Re-examining the role of space

This paper is aimed at exploring the role played by space on the dynamics of regional per capita income disparities in Europe between 1980 and 2005. To do that, an analysis based on the so-called distribution dynamics approach is used as benchmark. Therefore, the external shape of the per capita income distribution and movements within it are examined using both continuous and discrete techniques. This first approach reveals that regional disparities across European regions have decreased over time and, based on the computation of a mobility index, also highlights the existence of a medium mobility degree within the distribution. Subsequently, a spatially conditioned distribution dynamics approach is developed to adequately assess the spatial dimension of the convergence process. In this new approach per capita income of each region is doubly conditioned on its per capita income and the per capita income of its neighbours, both in a previous period. Additionally, a novel mobility index on the basis of a spatial Markov chains approach is devised. The results illustrate the importance of geography in explaining regional per capita income evolution; in particular it is shown that poor regions surrounded by rich regions have a much higher probability of escaping the poverty trap than other poor regions.