Measurement of Environmental Efficiency Based on Stochastic Directional Distance Function: A Metafrontier Approach
This study measures environmental efficiency (EE) based on CO2 emissions for five groups of countries between 1998 and 2018, using the stochastic metafrontier directional distance function. The model estimates environmental efficiency scores for a panel of 163 countries using data on GDP and CO2 emi...
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Published in | Journal of Environmental Policy and Administration Vol. 29; no. 특별호; pp. 57 - 87 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
한국환경정책학회
31.12.2021
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Subjects | |
Online Access | Get full text |
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Summary: | This study measures environmental efficiency (EE) based on CO2 emissions for five groups of countries between 1998 and 2018, using the stochastic metafrontier directional distance function. The model estimates environmental efficiency scores for a panel of 163 countries using data on GDP and CO2 emissions as economic growth and the consumption of fossil fuels lead to increased CO2 emissions. Moreover, meta inefficiency and technical gap differences (TGD) are compared, and the findings indicate that most countries have higher mean TGDs than their group’s average inefficiency measures. Furthermore, except for the low-income group, the OECD group is closest to the meta environmental frontier, suggesting that the OECD countries have advanced technologies to govern the environment. Alternatively, the findings also showed that upper-middle-income countries have the worst meta efficiency, implying that this group of countries sustain a high pollution growth path. Finally, we compare the difference between the stochastic metafrontier method and the pooling method and show that the pooling approach underestimates the severity of environmental problems. KCI Citation Count: 0 |
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ISSN: | 1598-835X 2714-0601 |
DOI: | 10.15301/jepa.2021.29.S.57 |