Migration and regional convergence in the European Union

We offer an empirical, econometric analysis of the impact of migration on the EU27’s NUTS2 regions in the period 2000–2007. We find that migration had no significant impact on regional unemployment in the EU, but affected both GDP per capita and productivity. A 1 percentage point increase in immigration to immigration regions increased GDP per capita by about 0.02?% and productivity by about 0.03?% on impact and by 0.44?% for GDP per capita and 0.20?% for productivity in the long run. For emigration regions an increase in the emigration rate leads to similar reductions of GDP per capita and productivity both on impact and in the long run. Since immigration regions are often regions with above average GDP, while emigration regions in Europe practically all have below average GDP, migration does not seem to promote convergence.     

The driving forces of the level and the growth rate of real per capita income in Indonesia

We investigate the driving forces behind the level and the growth rate in real per capita Gross Domestic Product (GDP) in Indonesia. The ultimate reasons and the proximate causes underlying Indonesia's economic growth since the mid-1960s are still unclear. In the literature there have been at least three ways of investigating the driving forces of economic growth in Indonesia, namely: growth accounting system, regression and causality. The difference and improvement in this article is that we employed a two-step bounds testing approach to cointegration, which has not been done before; it uses the endogenous growth model to consider 12 policy variables and two external factors that potentially affect per capita income, this number is more than that has been done before. The empirical results that we obtained using this two-step bounds testing approach help us draw policy implications that if or when implemented would be expected to increase the growth of real per capita income, as well as the welfare of the people of Indonesia. Economic growth in Indonesia is largely driven by government policy, so the ability to increase Indonesia's economic growth rate, in the long run, will largely depend on the implementation of appropriate government policies.     

Increasing Public Expenditure: Wagner's Law in OECD Countries

Abstract. The paper proposes a panel cointegration analysis of the joint development of government expenditure and economic growth in 23 Organization Economic Cooperation and Development countries. The empirical evidence provides indication of a structural positive correlation between public spending and per‐capita gross domestic product (GDP), which is consistent with the so‐called Wagner's law. A long‐run elasticity larger than 1 suggests a more than proportional increase of government expenditure with respect to economic activity. In addition, according to the spirit of the law, we found that the correlation is usually higher in countries with lower per‐capita GDP, suggesting that the catching‐up period is characterized by a stronger development of government activities with respect to economies in a more advanced state of development.     

Structural Change,Urban Congestion,and the End of Growth

This paper develops a two‐sector R&D‐based growth model with congestion effects from increasing urban population density. We show that endogenous technological progress causes structural change if there are positive productivity spillovers from the modern to the traditional sector and Engel's law holds. In turn, urban congestion effects cause a productivity slowdown in the modern sector. Eventually, economic growth may cease in the long‐run. We also show that land dilution by a larger workforce may give rise to negative scale effects on (GDP) per capita.     

2000—2005年我国省际经济增长差异及其因素分解

以经合组织(OECD)分析区域经济增长的方法为基础,测算了2000-2005年中国大陆31个省级行政单位GDP的变化,并分解为资本效率、人均资本、专业化、就业率、活跃人口等几因子.比较了各省区经济增长的差异及原因,并且进行了归类.结果显示,对所有省份而言,人均资本的增加是CDP增长的最重要推动因素,资本效率下降是重要的障碍;专业化具有明显的省际差异;就业率、活跃人口在多数省份为正面的影响,然而影响较小.     

Inequality and economic growth: the role of initial income

We estimate a panel model where the relationship between inequality and GDP per capita growth depends on countries’ initial incomes. Estimates of the model show that the relationship between inequality and GDP per capita growth is significantly decreasing in countries’ initial incomes. Results from instrumental variables regressions show that in Low Income Countries transitional growth is boosted by greater income inequality. In High Income Countries inequality has a significant negative effect on transitional growth. For the median country in the world, that in the year 2015 had a PPP GDP per capita of around 10000USD, IV estimates predict that a 1 percentage point increase in the Gini coefficient decreases GDP per capita growth over a 5-year period by over 1 percentage point; the long-run effect on the level of GDP per capita is around ??5%.     

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.     

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.     

Are complementary reforms a “luxury” for developing countries?

This paper investigates the impact of complementarity reforms on growth and how it depends on GDP per capita. Based on reform data for six policy areas compiled from various sources during the period 1994–2006 for over 100 countries, we compute composite indicators of reform level and complementarity. We provide qualitative justification for the existence of pair-wise complementarities among policy areas. We then use cross-section and panel data estimates to test the effect of reform level and complementarity on GDP per capita growth. We found reforms to be positively related and their dispersion (or the inverse of complementarity) negatively related to growth, controlling for initial conditions, monetary stability and other structural and institutional variables, as well as endogeneity of reform level and complementarity. We show that the effect of policy complementarity is a stronger condition for sustainable growth in developing than in advanced countries, to conclude that complementary reforms are not a ‘luxury’ for developing countries.     

Explaining Differences in Economic Growth among OECD Countries

This paper re-examines the determinants of growth of GDP per capita using panel data for OECD countries for the period 1970–1999 with data averaged over five-year periods from new perspectives. First, we introduce indicators of innovation input and technological specialization simultaneously into the empirical growth equation. Second, we employ the system-GMM (Generalized-Method-of-Moments) panel estimator that controls for (a) the possible specification bias when variables are highly persistent over time and (b) the possible simultaneity bias. We find a large and statistically significant impact of business enterprise R&D (BERD) intensity on GDP per capita with an elasticity of 0.22. The share of high-technology exports is also significantly positively related to GDP per capita, but the magnitude suggests that BERD is more important than technological specialization in explaining the level of GDP per capita. Furthermore, we find that the budget deficit and government consumption (both measured as percentages of GDP) and the volatility of growth are significantly negatively related to GDP per capita.The authors would like to thank Gunther Tichy for helpful comments on an earlier draft of this article. We also thank the participants of the Austrian economic association conference (NOEG) and the Empirical Industrial Organization workshop at the WU WIEN for helpful comments. We gratefully acknowledge financial support from the OeNB Jubiläumsfonds Project and the Austrian Federal Ministry for Economy and Labor (BMWA).JEL codes: E62, H20, H50, O23, O40     

Determinants of terrorism in Pakistan: An empirical investigation

The purpose of this study is to analyze the determinants of terrorism in the context of Pakistan. The determinants of terrorism include various socio-economic variables like GDP per capita, unemployment, political rights, inflation, poverty, inequality and literacy level. A long-run relationship between the variables is analyzed by applying Johansen co-integration technique. The Error Correction Model (ECM) is applied to determine the stability of the long run relationship between terrorism and various variables and also to streamline the short-run and long run impacts of the variables on terrorism. In general, the results revealed that there exists a long run relationship between various social and economic variables and terrorism while the results of ECM revealed that about 89% convergence towards equilibrium takes place every year. Similarly, important results are obtained by short run and long run elasticities estimated under the Error Correction Model. Impulse response analysis reveals that the impacts of one standard deviation shock given to random disturbances on the systems of variables have mixed results. Some variables have increasing trend over the time period, some have decreasing trends, while some have fluctuating and cyclical trends.     

环境约束下地区全要素生产率增长及影响因素研究——基于马姆奎斯特生产率指数和环境库兹涅茨曲线分析

采用非参数马姆奎斯特(Malmquist)指数估算我国2000～2009年29个省、直辖市和自治区的全要素生产率(TFP),并分析了人均GDP、人口密度、教育水平、城镇化率对全要素生产率的影响。研究发现:在给定资源投入情况下,东部的生产率增加值大于中部、西部,同时污染排放还小于中部、西部;人均GDP与TFP呈倒U型曲线,即环境要素生产率与人均GDP之间存在环境库兹涅茨(EKC)曲线关系;教育水平与环境要素生产率正相关,城镇化率和人口密度与TFP负相关。     

Does Ecological Footprint Impede Economic Growth? An Empirical Analysis Based on the Environmental Kuznets Curve Hypothesis

This paper examines the relationship between income and environmental quality using environmental Kuznets curve (EKC) hypothesis. The hypothesised link is tested using time‐series analysis of 22 countries over the period 1961–2011. The degree of environmental impacts of economic activity is measured using ecological footprint (EF) per capita as explanatory variable, while real gross domestic product (GDP) per capita and its quadratic and cubic forms are used as predictor variables in these countries. First, the EKC hypothesis is tested through examining the relationship between EF and GDP using linear, quadratic and cubic functions. Further, the long‐run relationship between EF and GDP is investigated using a vector error correction model. It was found that there is a cointegrated relationship between the variables in almost all countries, which was statistically significant, and EKC supported in 10 countries. Additionally, almost all error correction terms are correct in sign and are significant, which implies that some percentage of disequilibria in EF in the previous year adjusts back to the long‐run equilibrium in the current year. Therefore, an efficient trade‐off between environmental protection and economic benefits should be taken, and EF should be reduced through changing consumption patterns, improving the efficiency of use of resources and cleaner technology choices.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

Population and Economic Growth Under Different Growth Engines

Using a growth model with physical capital accumulation, human capital investment and horizontal R&D activity, this paper proposes an alternative channel through which an increase in the population growth rate may yield a non‐uniform (i.e., a positive, negative, or neutral) impact on the long‐run growth rate of per‐capita GDP, as available empirical evidence seems mostly to suggest. The proposed mechanism relies on the nature of the process of economic growth (whether it is fully or semi‐endogenous), and the peculiar engine(s) driving economic growth (human capital investment, R&D activity, or both). The model also explains why in the long term the association between population growth and productivity growth may ultimately be negative when R&D is an engine of economic growth.     

Habit persistence and the long-run labor supply

Standard macroeconomic models possess the undesirable feature that people stop working in the long run. Assuming standard parameters, the neoclassical model predicts that 2% of annual productivity growth leads to a 99% decline in the labor supply after 624 years. Yet, this contradicts the fact that labor hours per capita are relatively stable, even over a long period of time. This paper shows how internal and external habit persistence each work to stabilize the long run labor supply, independent of key parameter choices.     

Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence

This paper investigates the time series properties of per capita CO₂ emissions and per capita GDP levels for a sample of 86 countries over the period 1960-2000. For that purpose, we employ a state-of-the-art panel stationarity test which incorporates multiple shifts in level and slope, thereby controlling for cross-sectional dependence through bootstrap methods. Our analysis renders clear-cut evidence that per capita GDP levels are nonstationary for the world as a whole while per capita CO₂ is found to be regime-wise trend stationary. The analysis of country-groups shows that for Africa and Asia, per capita CO₂ is best described as nonstationary, while per capita GDP appears stationary around a broken trend. In addition, we find evidence of regime-wise trend stationarity in both variables for the country-groups consisting of America, Europe and Oceania. The results of our analysis carry important implications for the statistical modelling of the Environmental Kuznets curve for CO₂, since the differing order of integration in both variables for the world as a whole and for Africa and Asia calls into question the validity of panel cointegration techniques which assume that both variables are nonstationary and cointegrated with one another. Cointegration techniques would not be appropriate either for the case of America, Europe and Oceania which are characterised by per capita GDP and CO₂ emissions being stationary around a broken trend. Similar conclusions are reached when we analyse country-groups based on levels of development. Failure to properly characterise the time series properties of the data by not controlling for an unknown number of structural breaks and for cross-sectional dependence could be responsible for the fragility and lack of robustness surrounding the estimation of environmental Kuznets curves.     

Foreign Direct Investment Inflows and Economic Growth: The Case of Korea

The current study examines the relationship between FDI inflows and economic growth of Korea and tests the Bhagwati hypothesis which says that FDI inflow is more beneficial to economic growth in an open trade regime in a multivariate framework. Unlike previous works on the concerned hypothesis, a small‐sample cointegration test is applied to the time‐series data. There is no evidence of cointegration among the variables. The Granger causality test results show that, although FDI inflows do not cause per capita real GDP, the latter is revealed to cause the former when the economic crisis dummy variable is included. There is a unidirectional short‐run causality from domestic investment to per capita real GDP growth rate. The case of Korea does not support the Bhagwati hypothesis.     

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     

Productivity,Structural Change and Latin American Development

We calibrate a simple neoclassical growth model adapted to illustrate a process of structural transformation or industrialization to a group of nine South American countries. The paper shows that low levels of agricultural productivity can substantially delay the process of industrialization, which, together with low levels of non‐agricultural productivity observed in recent decades, satisfactorily explains the significant differences in gross domestic product (GDP) per capita levels among the countries in our sample. The results suggest that Argentina underwent the process of industrialization first followed by Uruguay, Chile, Brazil, Colombia, Ecuador, Peru, Paraguay and Bolivia. The model predicts that the ranking of these countries in terms of GDP per capita would follow this order until convergence occurs. The empirical evidence confirms the prediction of the model with the exceptions of Uruguay and Chile which caught up with Argentina in terms of GDP per capita levels in the late 1980s.