In this paper, we present an alternative analysis framework to evaluate the effects of technology heterogeneities and undesirable output on environmental efficiency measurement. The proposed framework combines the directional distance function and a meta-frontier analysis. It can be used to measure efficiency improvements brought about by enhanced technical management and technological advances. For demonstration purposes, we used the framework to measure the environmental efficiency in 90 countries worldwide for the 2003-2007 period. The results showed that when the meta-technology set is used as the evaluation basis, the average environmental efficiency of high competitiveness countries is greater than that of lower-middle, low, and upper-middle competitiveness countries. The upper-middle competitiveness countries perform worse than the lower-middle and low competitiveness countries because of the excessive labor force usage and carbon dioxide emissions in these countries. We also found that the environmental inefficiency of the meta-frontier for high competitiveness countries can be attributed to managerial failure in the production process, whereas that for upper-middle, lower-middle, and low competitiveness countries can be attributed to technological differences. (C) 2012 Elsevier B.V. All rights reserved.
机构:
Soochow Univ, Ctr Chinese Urbanizat Studies, Suzhou 215021, Peoples R China
Soochow Univ, Sch Business, Suzhou 215021, Peoples R China
Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210006, Jiangsu, Peoples R China
Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, Nanjing 210006, Jiangsu, Peoples R ChinaSoochow Univ, Ctr Chinese Urbanizat Studies, Suzhou 215021, Peoples R China
Wang, Qunwei
Zhao, Zengyao
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Soochow Univ, Ctr Chinese Urbanizat Studies, Suzhou 215021, Peoples R China
Soochow Univ, Sch Business, Suzhou 215021, Peoples R ChinaSoochow Univ, Ctr Chinese Urbanizat Studies, Suzhou 215021, Peoples R China
Zhao, Zengyao
Zhou, Peng
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机构:
Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210006, Jiangsu, Peoples R China
Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, Nanjing 210006, Jiangsu, Peoples R ChinaSoochow Univ, Ctr Chinese Urbanizat Studies, Suzhou 215021, Peoples R China
Zhou, Peng
Zhou, Dequn
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机构:
Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 210006, Jiangsu, Peoples R China
Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, Nanjing 210006, Jiangsu, Peoples R ChinaSoochow Univ, Ctr Chinese Urbanizat Studies, Suzhou 215021, Peoples R China
机构:
Oklahoma State Univ, Dept Agr Econ, Stillwater, OK 74078 USA
Univ Zambia, Dept Agr Econ & Extens, POB 32379, Lusaka 10101, ZambiaOklahoma State Univ, Dept Agr Econ, Stillwater, OK 74078 USA
机构:
Univ Chicago, Chicago Ctr Excellence Hlth Promot Econ, Chicago, IL 60637 USAUniv Chicago, Chicago Ctr Excellence Hlth Promot Econ, Chicago, IL 60637 USA
Chen, Zhuo
Song, Shunfeng
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机构:
Univ Nevada, Dept Econ, Reno, NV 89557 USAUniv Chicago, Chicago Ctr Excellence Hlth Promot Econ, Chicago, IL 60637 USA
机构:
Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, IranDepartment of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Sayyad Noveiri, Monireh Jahani
Kordrostami, Sohrab
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Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, IranDepartment of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Kordrostami, Sohrab
[J].
International Journal of Information Technology and Decision Making,
2022,
21
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: 1879
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