Multi-sectorial convergence in greenhouse gas emissions.
This paper uses the World Input-Output Database (WIOD) to test the hypothesis of per capita convergence in greenhouse gas (GHG) emissions for a multi-sectorial panel of countries. The empirical strategy applies conventional estimators of random and fixed effects and Arellano and Bond's (1991) GMM to the main pollutants related to the greenhouse effect. For reasonable empirical specifications, the model revealed robust evidence of per capita convergence in CH4emissions in the agriculture, food, and services sectors. The evidence of convergence in CO2emissions was moderate in the following sectors: agriculture, food, non-durable goods manufacturing, and services. In all cases, the time for convergence was less than 15 years. Regarding emissions by energy use, the largest source of global warming, there was only moderate evidence in the extractive industry sector-all other pollutants presented little or no evidence.
Department of Economics and International Relations, Federal University of Santa Catarina, Florianópolis, Brazil. Electronic address: oliveira.guilherme@ufsc.br.
Guilherme de
G
Oliveira
Colegiado de Economia, Federal University of Fronteira Sul, Campus da Federal University of Fronteira Sul, BR 285, KM 405, Laranjeiras do Sul, PR, 85301-970, Brazil. Electronic address: deise.bourscheidt@uffs.edu.br.
Deise Maria
DM
Bourscheidt
D000383:Agriculture; D000393:Air Pollutants; D017752:Greenhouse Effect
D000393:Air Pollutants
Cross-country panel data; Greenhouse gas emissions; Multi-sectorial convergence