The distributional impact of large dams: Evidence from cropland productivity in Africa

We examine the distributional impact of large dams on cropland productivity in Africa. As our unit of analysis we use a hydrology based spatial breakdown of the continent that allows one to exactly define regions in terms of their upstream/downstream relationship at a highly disaggregated level. We then use satellite data to derive measures of cropland productivity within these areas. Our econometric analysis shows that while regions downstream benefit from large dams, no beneficial effects accrue to cropland within the vicinity. Moreover, we find that the productivity enhancing impact of upstream dams is dependent on the local climate. Overall our results suggest that upstream dams have quantitatively on average provided up to 12% of the minimum daily per capita amount of kilocalorie needs in downstream communities and increased agricultural production by 1%.     

Growth, income distribution, and fiscal policy volatility

The relationship between income distribution and economic growth has long been an important economic research subject. Despite substantial evidence on the negative impact on long-term growth of inequality in the literature, however, there is not much consensus on the specific channels through which inequality affects growth. The empirical validity of two most prominent political economy channels - redistributive fiscal spending and taxes, and sociopolitical instability - has recently been challenged. We advance a new political economy channel for the negative link between inequality and growth, a fiscal policy volatility channel, and present strong supporting econometric evidence in a large sample of countries over the period of 1960-2000. Our finding also sheds light on another commonly observed negative relation between macroeconomic volatility and growth. We carefully address the robustness of the results in terms of data, estimation methods, outlier problem, and endogeneity problem that often plague the standard OLS (ordinary least squares) regression.     

Bidding for brains: Intellectual property rights and the international migration of knowledge workers

We introduce international mobility of knowledge workers into a model of Nash equilibrium IPR policy choice among countries. We show that governments have incentives to use IPRs in a bidding war for global talent, resulting in Nash equilibrium IPRs that can be too high, rather than too low, from a global welfare perspective. These incentives become stronger as developing countries grow in size and wealth, thus allowing them to prevent the ‘poaching’ of their ‘brains’ by larger, wealthier markets.     

The formation and evolution of childhood skill acquisition: Evidence from India

Building on recent advances in the literature and using a rich data set for two cohorts of children aged between one and twelve for Andhra Pradesh, India, we investigate the determinants of children's cognitive as well as non-cognitive skills. We find evidence of self-productivity for cognitive skills and cross-productivity effects from cognitive on non-cognitive skills. Moreover, we demonstrate that parental investment has contemporaneously positive effects on skill levels for all age groups. Investigating other determinants of these skills, we find child health at age one to influence cognitive abilities at age five, whilst child health at age one is influenced by parental care already during pregnancy and earliest childhood. Understanding the determinants which account explicitly for the effect of a large number of child, caregiver and household characteristics provides insights with regard to possible policy interventions to improve the chances of children in poor environments of developing cognitive and non-cognitive skills crucial for success in many spheres of life.     

Stimulating different types of eco-innovation in the UK: Government policies and firm motivations

In this paper, we adopt a recent OECD framework and examine the role of external policy tools and internal firm specific factors for stimulating three different types of eco-innovations that range on a spectrum of lower to higher technological and environmental impacts: End-of-Pipeline Pollution Control Technologies, Integrated Cleaner Production Technologies and Environmental R&D. Using a novel firm-level dataset from a DEFRA survey, we estimate a Tobit model, which provides empirical evidence showing that these eco-innovations are motivated by different external policy tools and internal firm specific factors. Our findings indicate that End of Pipeline Technologies and Integrated Cleaner Production Technologies are mainly driven by equipment upgrade motives with a view of improving efficiency while environmental regulations are effective in stimulating the End-of-Pipeline technologies and Environmental R&D. Interestingly, alongside government induced regulations, we find that market factors, mainly motivated by cost savings, are effective in driving Environmental R&D. Finally, ISO14001 certification is effective in strengthening the positive impact of environmental management systems on both End-of-Pipeline technologies and Environmental R&D while CSR policies have no significant impact on motivating any of the eco-innovations.     

Issues in environmental justice within the European Union

This paper surveys pressing issues facing current and future social policies in the European Union (EU) at the juncture of social justice demands and environmental concerns. European policy-makers have in fact only recently acknowledged the notions of environmental justice and environmental inequalities, which have been part of the US policy arsenal for almost two decades. Yet, challenges to equality and fairness in the environmental domain are many and growing within the European Union. After having defined environmental justice and environmental inequalities in the European context, the paper addresses two contemporary dimensions of those challenges for EU social policies: vulnerability and exposure to environmental disaster and risk; and fairness in environmental taxation and the related issue of fuel poverty.     

Must improved labor standards hurt accumulation in the targeted sector? Stylized analysis of a developing economy

This paper analyzes a stylized small open economy that consists of two tradable output-producing sectors: a manufacturing sector and a (mainly tourism-related) services sector. Assuming sectoral differences based on stylized facts, we explore the impact of higher labor standards in the manufacturing sector on the long-term prospects of the economy using comparative dynamic exercises to analyze changes in relative prices, foreign capital flows, and the sectoral distribution of investment and output. We find, in particular, that imposing higher standards across the manufacturing sector could, under certain conditions, shift the structure of the domestic economy in favor of that sector. This result is driven by changes in relative profitability in the presence of learning-by-exporting.     

Poverty traps in a frictionless world: The effects of learning and technology assimilation

We study an endogenous growth model of technology assimilation through an adaptive learning process defining the accumulation of technological knowledge among both workers and industrial clusters. The assimilation of new technology and the arrival rate of innovations are both based on the distance from the technological frontier to the current technological development level of the country. We illustrate how, even if technological innovations become immediately available to all countries, and absent educational and institutional frictions among countries, differences in technological development levels allow for the existence of poverty traps leading to the economic stagnation of technological laggards.     

Entry costs, industry structure, and cross-country income and TFP differences

Entry costs vary dramatically across countries. To assess their impact on cross-country differences in output and TFP, we construct a model with endogenous entry and operation decisions by firms. We calibrate the model to match the U.S. distribution of employment and firms by size. Higher entry costs lead to greater misallocation of productive factors and lower TFP and output. In the model, countries in the lowest decile of the entry costs distribution have 1.32 to 1.45 times higher TFP and 1.52 to 1.75 times higher output per worker than countries in the highest decile. As in the data, higher entry costs are associated with lower entry rates and business density.     

A NON‐PARAMETRIC MEASURE OF POVERTY ELASTICITY

We estimate the growth elasticity of poverty (GEP) using recently developed non‐parametric panel methods and the most up‐to‐date and extensive poverty data from the World Bank, which exceeds 500 observations in size and represents more than 96 percent of the developing world's population. Unlike previous studies which rely on parametric models, we employ a non‐parametric approach which captures the non‐linearity in the relationship between growth, inequality, and poverty. We find that the growth elasticity of poverty is higher for countries with fairly equal income distributions, and declines in nations with greater income disparities. Moreover, when controlling for differences in estimation technique, we find that the reported values of the GEP in the literature (based on the World Bank's now‐defunct 1993‐PPP based poverty data) are systematically larger in magnitude than estimates based on the latest 2005‐PPP based data.