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AbstractUsing U.S. state-level data for the period 1973–1994, this study models the relationship between emissions, output and pollution abatement by defining an emissions function, in a manner that is consistent with the residual (emissions) generation mechanism and firms' optimizing behavior. It thus accounts for factors that were previously unaccounted for or addressed only individually. Applications using this comprehensive setting can offer more informed insights for policy-making, something that is particularly useful for developing countries that face the environmental degradation that comes together with the benefits of economic growth. Using nonparametric econometric techniques as well as threshold regression, the empirical results show that there is a positive nonlinear relationship between emissions and output, rejecting an inverted-U type of relationship between the two (the Environmental Kuznets Curve, or EKC). In the absence of abatement the relationship turns around, verifying the arguments in the literature that abatement is one of the driving forces for an EKC to emerge.

Abstract We conduct an update of the ranking of economic journals by Kalaitzidakis, Mamuneas, and Stengos (2003). However, our present study differs methodologically from that earlier study in an important dimension. We use a rolling window of years between 2003 and 2008, for each year counting the number of citations of articles published in the previous 10 years. This allows us to obtain a smoother longer view of the evolution of rankings in the period under consideration and avoid the inherent randomness that may exist at any particular year, because of new entrants.

We extend the sensitivity analysis of cross‐country growth regressions of Levine and Renelt (1992) by introducing a semi‐parametric formulation of their regression function. Our results differ from theirs in how certain policy variables affect growth rates. We find that distortion variables, such as the standard deviation of gross domestic credit and inflation and real exchange rate distortions, have a robust negative effect on growth. JEL Classification: O47, C14 Une analyse de sensibilité non‐linéaire des régressions de croissance pour divers pays. Les auteurs utilisent une formulation semi‐paramétrique des équations de croissance de Levine et Renelt (1992) pour divers pays afin de rendre leur analyse de sensibilité plus compréhensive. Les résultats different de ceux de Levine et Renelt en ce que certaines variables de politique affectent les taux de croissance. On découvre que certains facteurs comme l'écart type du crédit intérieur brut et de l'inflation, et des distorsions des taux de change réels, ont un effet négatif important sur la croissance.

We introduce infrastructure as a cost‐reducing technology in Romer's (1987) model of endogenous growth. We show that infrastructure can promote specialization and long‐run growth, even though its effect on the latter is non‐monotonic, reflecting its resource costs. We provide evidence using data from the U.S. Census of Manufactures that suggests that the degree of specialization is positively correlated with core infrastructure, as predicted by the model. We also provide evidence from cross‐country regressions, using physical measures of infrastructure provision, that shows a robust non‐monotonic relationship between infrastructure and growth. JEL Classification: 041,050Les auteurs introduisent l'infrastructure en tant que technologie réduisant les coûts dans un modèle de croissance endogène à la Romer (1987). On montre que l'infrastructure peut promouvoir la spécialisation et la croissance en longue péride, même si ses effets sur la croissance ne sont pas monotones et reflètent ses coûts en ressource. On montre, en utilisant les données du recensement des manufactures des Etats Unis, que le degré de spécialisation est relié positivement à l'infrastructure de base, comme le suggère le modèle. On montre aussi à l'aide de régressions transversales, utilisant des mesures physiques de l'infrastructure, qu'il existe une relation non monotone mais robuste entre infrastructure et croissance.