On the simultaneity problem in the aid and growth debate

This paper shows that foreign aid has a significant positive average effect on real per capita gross domestic product (GDP) growth if, and only if, the quantitatively large negative reverse causal effect of per capita GDP growth on foreign aid is adjusted for in the growth regression. Instrumental variables estimates show that a 1 percentage point increase in GDP per capita growth decreased foreign aid by over 4%. Adjusting for this quantitatively large, negative reverse causal effect of economic growth on foreign aid shows that a 1% increase in foreign aid increased real per capita GDP growth by around 0.1 percentage points. Copyright © 2011 John Wiley & Sons, Ltd.     

Economic growth, size of the agricultural sector, and urbanization in Africa

This paper uses variations in international commodity prices and rainfall to construct instrumental variables estimates of the within-country effect that changes in the size of the agricultural sector and GDP per capita growth have on the urbanization rate. For a panel of 41 African countries during the period 1960-2007, the paper’s three main findings are that: (i) decreases in the share of agricultural value added lead to a significant increase in the urbanization rate; (ii) conditional on changes in the share of agricultural value added GDP per capita growth does not significantly affect the urbanization rate; (iii) increases in the urbanization rate had a significant negative average effect on GDP per capita growth.     

Corruption, economic growth, and income inequality in Africa

This paper uses panel data from African countries and a dynamic panel estimator to investigate the effects of corruption on economic growth and income distribution. I find that corruption decreases economic growth directly and indirectly through decreased investment in physical capital. A unit increase in corruption reduces the growth rates of GDP and per capita income by between 0.75 and 0.9 percentage points and between 0.39 and 0.41 percentage points per year respectively. The results also indicate that increased corruption is positively correlated with income inequality. The combined effects of decreased income growth and increased inequality suggests that corruption hurts the poor more than the rich in African countries. Received: March 19, 2001 / Accepted: December 14, 2001 RID="*" ID="*" An earlier version of this paper was presented at the first AmFiTan International Conference on Development Ethics in February 2000, Dar er Salaam, Tanzania. I thank two anonymous referees of this Journal for helpful suggestions. I am, however, solely responsible for any remaining errors.     

Natural disasters,growth and institutions: A tale of two earthquakes

We examine the impact of natural disasters on GDP per capita by applying the synthetic control approach and using a within-country perspective. Our analysis encompasses two large-scale earthquakes that occurred in two different Italian regions in 1976 and 1980. We show that the short-term effects are negligible in both regions, though they become negative if we simulate the GDP that would have been observed in absence of financial aid. In the long-term, our findings indicate a positive effect in one case and a negative effect in the other, largely reflecting divergent patterns of the TFP. Consistent with these findings, we offer further evidence suggesting that a quake and related financial aid might either increase technical efficiency via a disruptive creation mechanism or reduce it by stimulating corruption, distorting the markets and deteriorating social capital. Finally, we show that the bad outcome is more likely to occur in regions with lower pre-quake institutional quality. As a result, our evidence suggests that unanticipated local shocks are likely to change long run growth rates, exacerbating territorial disparities.     

The Returns to Education: Macroeconomics

We offer an extensive summary and a critical discussion of the empirical literature on the impact of human capital on macro‐economic performance, with a particular focus on UK policy. We also highlight methodological issues and make recommendations for future research priorities.
Taking the studies as a whole, the evidence that human capital increases productivity is compelling, though still largely divided on whether the stock of education affects the long‐run level or growth rate of GDP. A one‐year increase in average education is found to raise the level of output per capita by between three and six percent according to augmented neo‐classical specifications, while leading to an over one percentage point faster growth according to estimates from the new‐growth theories. Still, over the short‐run planning horizon (four years) the empirical estimates of the change in GDP are of similar orders of magnitude in the two approaches. The impact of increases at different levels of education appear to depend on the level of a country's development, with tertiary education being the most important for growth in OECD countries. Education is found to yield additional indirect benefits to growth. More preliminary evidence seems to indicate that type, quality and efficiency of education matter for growth too.     

What has caused China’s economic growth?

Economic growth is driven by numerous factors. However, traditional economic theory focuses on certain key reasons, while ignoring the impact of other factors. Since 1978, China has achieved unprecedented economic growth, but also faces low per capita GDP. To clarify the driving forces behind this situation, we used per capita GDP to represent China’s economic growth and performed total factor analysis based on 13 variables in 7 socioeconomic dimensions using panel data from 30 Chinese provinces over the 40 years since China opened to the west in 1978. We found similar determinants in different regressions. Internal trade, privatization and investment were the primary factors driving Chinese economic development. Surprisingly, we found that the contribution of foreign trade to economic growth (per capita GDP) was weak. Education had a much smaller contribution than science and technology. Using per capita income as the dependent variable to provide a robustness test, we found that China’s income distribution has not paralleled its economic development and the distribution of the benefits of GDP growth to citizens must be improved. China’s experience demonstrates that promoting economic growth requires coordinated development of many factors, and that different policy preferences should be adopted to meet different economic development conditions.     

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.     

The impact of environmental corruption on green consumption: A quantitative analysis based on China's Judicial Document Network and Baidu Index

In developing countries, green consumption is still in its infancy, and the institutional environment is very important for it. In the implementation of environmental policies to stimulate green consumption, environmental corruption may affect production cost or residents' environmental responsibility. This paper aims to reveal the impact of environmental corruption on green consumption, quantify environmental corruption by collecting the cases of China's Judicial Document Network, and quantify green consumption by constructing an evaluation index system based on Baidu Index. First, baseline results show that environmental corruption is negatively correlated with green consumption. Second, impact path test is carried out from production side, sales side and consumption side. In the production side, environmental corruption inhibits green consumption by weakening green products quality and environmental investment. In the sales side, environmental corruption suppresses green consumption by weakening sales expenses and market share of green products. In the consumption side, environmental corruption inhibits green consumption by reducing government information disclosure and environmental responsibility. Third, threshold effect test is carried out from the perspective of economic basis and human capital basis. The impact of environmental corruption on green consumption is not significant as per capita GDP is lower than 9600 yuan. As the per capita GDP is higher than 13000 yuan, the inhibition of environmental corruption on green consumption is weakened. As the average education is more than 8.14 years, the inhibition effect is significantly weakened. Fourth, this paper compares the spatial impact of different types of environmental corruption on surrounding green consumption by building a spatial Durbin model. Environmental bribery has a higher inhibition on local green consumption, and environmental malfeasance has a higher negative impact on surrounding green consumption.     

Temporal causality between house prices and output in the US: A bootstrap rolling-window approach

This paper examines the causal relationships between the real house price index and real GDP per capita in the US, using the bootstrap Granger (temporal) non-causality test and a fixed-size rolling-window estimation approach. We use quarterly time-series data on the real house price index and real GDP per capita, covering the period 1963:Q1 to 2012:Q2. The full-sample bootstrap non-Granger causality test result suggests the existence of a unidirectional causality running from the real house price index to real GDP per capita. A wide variety of tests of parameter constancy used to examine the stability of the estimated vector autoregressive models indicate short- and long-run instability. This suggests that we cannot rely on the full-sample causality tests and, hence, this warrants a time-varying (bootstrap) rolling-window approach to examine the causal relationship between these two variables. Using a rolling window size of 28 quarters, we find that while causality from the real house price to real GDP per capita occurs frequently, significant, but less frequent, evidence of real GDP per capita causing the real house price also occurs. These results imply that while the real house price leads real GDP per capita, in general (both during expansions and recessions), significant feedbacks also exist from real GDP per capita to the real house price.     

Corruption in transition economies: Socialist,Ottoman or structural?

Using data from 64 countries in Eastern Europe and MENA, I study the long-run effects of Ottoman and socialist rule on the incidence of corruption. To proxy Ottoman legacies, I estimate the length of Ottoman rule across all Ottoman successor states. Conditioning on income per capita, I find a robust adverse effect of both socialist and Ottoman legacies on present day corruption – a finding which reconciles two rival accounts of post-socialist corruption from the transition literature. The results are robust to controlling for potential confounders and instrumenting for both per capita income and the length of Ottoman rule. However, the explanatory power of long-run historical determinants of corruption is lower than the contribution of short-run factors. While present day income explains about half of the total variation in corruption across post-socialist countries, Ottoman and socialist legacies jointly account for about one third. Although history does matter, these findings suggest that most of the corruption observed in Eastern Europe, Central Asia and the Balkans today may not be inherently ‘eastern’ or socialist. Rather, the data are consistent with an interpretation of corruption predominantly as a manifestation of persistent economic under-development.     

TECHNOLOGICAL INNOVATION AND EMPLOYMENT IN DERIVED LABOUR DEMAND MODELS: A HIERARCHICAL META‐REGRESSION ANALYSIS

The effect of technological innovation on employment is of major concern for workers and their unions, policy makers and academic researchers. We meta‐analyse 570 estimates from 35 primary studies that estimate a derived labour demand model. We contribute to existing attempts at evidence synthesis by addressing the risks of selection bias and that of data dependence in observational studies. Our findings indicate that: (i) hierarchical meta‐regression models are sufficiently versatile for addressing both selection bias and data dependence in observational data; (ii) innovation's effect on employment is positive but small and highly heterogeneous; (iii) only a small part of residual heterogeneity is explained by moderating factors; (iv) selection bias tends to reflect preference for upholding prevalent hypotheses on the employment effects of process and product innovations; (v) country‐specific effect‐size estimates are related to labour market and product market regulation in six OECD countries in a U‐shaped fashion; and (vi) OLS estimates reflect upward bias whereas those based on time‐differenced or within estimators reflect a downward bias. Our findings point out to a range of data quality and modelling issues that should be addressed in future research.     

A Meta‐Analysis of β‐Convergence: the Legendary 2%

Abstract.  The topic of convergence is at the heart of a wide‐ranging debate in the growth literature, and empirical studies of convergence differ widely in their theoretical backgrounds, empirical specifications, and in their treatment of cross‐sectional heterogeneity. Despite these differences, a rate of convergence of about 2% has been found under a variety of different conditions, resulting in the widespread belief that the rate of convergence is a natural constant. We use meta‐analysis to investigate whether there is substance to the 'myth' of the 2% convergence rate and to assess several unresolved issues of interpretation and estimation. Our data set contains approximately 600 estimates taken from a random sample of empirical growth studies published in peer‐reviewed journals. The results indicate that it is misleading to speak of a natural convergence rate since estimates of different growth regressions come from different populations, and we find that correcting for the bias resulting from unobserved heterogeneity in technology levels leads to higher estimates of the rate of convergence. We also find that correcting for endogeneity of the explanatory variables has a substantial effect on the estimates and that measures of financial and fiscal development are important determinants of long‐run differences in per capita income levels. We show that although the odds of a study being published is not uniform for studies with different p ‐values, publication bias has no significant effect on the conclusions of the analysis.     

Demographic transition and economic growth in China,India and Pakistan

The authors of this paper adopt a Solow–Swan model extended to include demographic variables to analyze the overall effect of demographic transition on economic growth. The results, based on data from seventy countries over the period 1961–2003, reveal that GDP per capita growth is positively related to the growth differential between the working-age population and the total population, and negatively related to child and old-age dependency ratios. Based on these results, they find that population dynamics explain 46 percent of economic growth in per capita GDP in China over the period 1961–2003, 39 percent in India, and 25 percent in Pakistan. Furthermore, population dynamics are expected to have a positive effect on economic growth in India and Pakistan over the period 2005–2050, and a negative effect in China.     

A cointegration approach to modeling human capital formation,self-employment,and economic growth: evidence from Pakistan

This study aims to empirically investigate the dynamics of relationship among human capital formation, self-employment (SE), and economic growth in Pakistan. Using quarterly data of primary school enrollment, SE, and GDP per capita, we employed ARDL bound testing approach to cointegration covering the time span of 1995–2010. We found that in the long run, primary school enrollment, high school enrollment and SE have significant impact on economic growth. Enrollment in primary schools (EP) has a strong positive and significant impact on economic growth, whereas enrollment in high school has a relatively small positive and significant impact on economic growth in the long run in Pakistan. Further, SE has a small, positive and significant impact on economic growth in the long run. In short run, enrollments in high schools and SE have weak positive impact on economic growth whereas, EP has a strong positive and significant impact on economic growth in Pakistan. Further it is found that that there is unidirectional long run causality from self employment to economic growth followed by the bidirectional short run causality between economic growth and high school enrollment, GDP per capita and primary school enrollment, high school enrollment and primary school enrollment.     

DOES FDI ACTUALLY AFFECT INCOME INEQUALITY? INSIGHTS FROM 25 YEARS OF RESEARCH

While there are 25 years of empirical research on how FDI may affect income inequality, there is surprisingly no consensus on this issue. In this paper, we conduct a meta-analysis on the effect of FDI on inequality using 543 empirical studies from 1995 to 2019. Among various factors, we find that the development level of the study country has the strongest influence on the direction in which FDI affects income inequality. When the primary studies are sorted into three groups based on the GDP per capita of their sample areas, the within-group estimates on the effect of FDI on income inequality become strongly consistent with each other. Particularly, we find that FDI is associated with higher inequality for the low-income group, has no statistically significant effect for the middle-income group, and is associated with lower inequality for the high-income group. This observation suggests that FDI may increase income inequality as a country initially develops, but reduce inequality as development deepens.     

CONVERGENCE AND ECONOMIC PERFORMANCE IN GREECE: EVIDENCE AT REGIONAL AND PREFECTURE LEVEL

The purpose of this paper is to test regional convergence and to investigate interregional disparities in terms of per capita income in Greece. The novelty of our study lies in the use of a disaggregated dataset for an extended time period (1971–2003) at two regional levels (NUTS II & NUTS III). Our results indicate that there is β convergence between prefectures but not among regions, while no evidence of σ convergence is found at both regional levels. Also, the GDP geographic concentration and population density have a negative impact on growth, which outweighs the positive growth effect of population geographic concentration and GDP spatial inequality. Thus, policies aiming at the decentralization of economic activity in Greece might enhance growth and regional equality simultaneously. Finally, we do not find economic dualism across geographic areas; however, rich prefectures seem to converge faster than poor ones.     

THE BURDEN OF DURABLE ASSET ACQUISITION IN GROWING POPULATIONS

While most analyses of economic impacts of population growth have been equivocal, this article describes a new perspective from which the effects are strongly negative. The economies and diseconomies of population size are largely circumstantial and empirically inconsistent, but those of growth rate are intrinsic and consistent. These impacts are not apparent on income and per capita GDP, but on costs. The article estimates these costs using the logic of calculus rather than marginal accounting. Specifically, the cost of maintaining per capita capacity of durable assets, including infrastructure, equipment and skilled personnel, is increased by population growth by a factor proportional to the working lifespan of the asset class.     

Social Capital Across European Countries: Individual and Aggregate Determinants of Group Membership

Social capital refers to norms and networks of reciprocity, trust, and cooperation that facilitate coordinated action for a mutual benefit. Theoretical and empirical studies have documented the positive contribution of social capital in social welfare and development. This study empirically explores the determinants of social capital, in the form of group membership, across European countries. Data is derived from the European Community Household Panel, which covers a large sample of individuals from a set of European countries. Binary logistic regression models are applied to regress an index of individuals' group membership on a set of individual characteristics (income, education, gender, age, marital status, employment), as well as aggregate characteristics of countries (GDP per capita, income inequality, social trust, trust in public institutions, corruption, unemployment, and violation of political and civil rights). Results provide evidence of the impact of both individual and aggregate factors on group membership. These factors constitute a possible means to rebuilding patterns of social capital, especially in Southern European countries, where special‐interest groups and patron‐client relations prevail over generalized norms and networks of reciprocity, trust, and cooperation that promote wider social welfare and development objectives.     

Does sport affect the competitiveness of European Union countries? An analysis of the degree of innovation and GDP per capita using linear and QCA models

The sport industry has experienced great growth in recent years worldwide, and especially in the European Union (EU) countries. However, despite the role that this industry can play in improving the competitiveness of these countries (Gross Domestic Product (GDP) per capita and innovation performance), no studies have been found that analyse its influence. So, the main aim of this study is, firstly, to analyse the relationship between the innovation performance and the GDP per capita of EU countries, and, secondly, to find out how sport-related indicators and different innovation-related indicators influence the innovation performance and GDP per capita of the EU countries. To this end, two different methodologies have been used: hierarchical regression models and qualitative comparative analysis (QCA). A total sample of 23 EU countries have been analysed. The results show that GDP per capita and innovation performance are highly correlated in a positive and significant way (0.76; p?<?.0001), and that the variables related to sport help explain the variance of these two variables, highlighting as necessary variable in both cases the growth in the sports sector (consistency >0.90). Finally, a number of practical implications are presented that can help policy makers to improve the competitiveness of EU countries.

     

DOES INVESTOR PROTECTION INCREASE FOREIGN DIRECT INVESTMENT? A META‐ANALYSIS

We undertake a meta‐analysis of the effects of international investment agreements for the protection of foreign investors on foreign direct investment using 2107 estimates drawn from 74 studies. Our meta‐analysis finds robust evidence that effect of international investment agreements is so small as to be considered zero.  However, our results do not rule out the possibility that the effect of these agreements is, in fact, positive and that current research methods are insufficiently powerful or precise to identify the underlying genuine effect. FDI from developed countries appears to be more responsive to the existence of investment protection, and there is evidence of publication–selection bias in favour of studies that find a positive effect for investor protection.