Measuring the effect of economic growth on countries' environmental efficiency: A conditional directional distance function approach, Environmental and Resource Economics. DOI: 10.1007/s10640-016-0046-y)

Measuring the effect of economic growth on countries' environmental efficiency: A conditional directional distance function approach. Environmental and Resource Economics. DOI: 10.1007/ s10640-016-0046-y) (SCOPUS, EconLit, ISI Listed, Impact factor: 1,426 and 5-year: 2,105). In common with S. Managi (2016).

Using a recently developed probabilistic approach of a conditional directional distance function, we measure the effect of economic growth on countries’ environmental efficiency in carbon dioxide emissions for a sample of 99 countries over the period of 1980-2010. Our approach directly accounts for the exogenous factors influencing countries’ environmental production; therefore, we do not impose the separability condition on the estimated environmental efficiencies. When examining the entire sample as well as the sample of developed countries, our results reveal an inverted U-shaped relationship between countries’ GDP per capita and environmental efficiency. However, when examining the relationship for the sample of developing countries, the results reveal an N-shaped form. Moreover, our results show that countries ratifying the Kyoto Protocol tend to have higher efficiency scores, implying that their mitigation activity is less costly.