Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs
The environmental issue has attracted ever-increasing attention from governments and academics in recent years. Environmental performance analysis is widely considered a crucial and useful tool for effectively protecting the environment and developing a sustainable society. Many analytical technique...
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| Published in | Annals of operations research Vol. 304; no. 1-2; pp. 233 - 261 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.09.2021
Springer Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
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| Abstract | The environmental issue has attracted ever-increasing attention from governments and academics in recent years. Environmental performance analysis is widely considered a crucial and useful tool for effectively protecting the environment and developing a sustainable society. Many analytical techniques have been used to assess carbon emission performance, among which data envelopment analysis (DEA) is prominent. However, few previous DEA-related carbon emission performance studies recognize that the total amount of carbon dioxide emissions is limited to a specific level by authorities; ignoring this fixed-sum requirement may lead to distortions and deviations in empirical results. This paper proposes an alternative Malmquist DEA approach for evaluating the carbon emission performance while considering fixed-sum undesirable outputs. For this purpose, we develop a generalized equilibrium efficient frontier DEA model with fixed-sum undesirable outputs and combine the model with the Malmquist productivity index (MPI). The proposed approach is applied to assess the carbon emission performance of 30 provincial regions in China from 2009 to 2015. Then we provide analytical results and policy suggestions regarding the provincial carbon emission performance in China. |
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| AbstractList | The environmental issue has attracted ever-increasing attention from governments and academics in recent years. Environmental performance analysis is widely considered a crucial and useful tool for effectively protecting the environment and developing a sustainable society. Many analytical techniques have been used to assess carbon emission performance, among which data envelopment analysis (DEA) is prominent. However, few previous DEA-related carbon emission performance studies recognize that the total amount of carbon dioxide emissions is limited to a specific level by authorities; ignoring this fixed-sum requirement may lead to distortions and deviations in empirical results. This paper proposes an alternative Malmquist DEA approach for evaluating the carbon emission performance while considering fixed-sum undesirable outputs. For this purpose, we develop a generalized equilibrium efficient frontier DEA model with fixed-sum undesirable outputs and combine the model with the Malmquist productivity index (MPI). The proposed approach is applied to assess the carbon emission performance of 30 provincial regions in China from 2009 to 2015. Then we provide analytical results and policy suggestions regarding the provincial carbon emission performance in China. |
| Audience | Academic |
| Author | Liang, Liang Li, Feng Hou, Wenhui Li, Yongjun Zhu, Weiwei |
| Author_xml | – sequence: 1 givenname: Yongjun surname: Li fullname: Li, Yongjun organization: School of Management, University of Science and Technology of China – sequence: 2 givenname: Wenhui surname: Hou fullname: Hou, Wenhui organization: School of Management, University of Science and Technology of China – sequence: 3 givenname: Weiwei orcidid: 0000-0003-1852-8877 surname: Zhu fullname: Zhu, Weiwei organization: Research Center of Information Industry Integrated Innovation and Emergency Management, School of Management, Nanjing University of Posts and Telecommunications – sequence: 4 givenname: Feng orcidid: 0000-0002-4387-423X surname: Li fullname: Li, Feng email: lifeng1990@swufe.edu.cn organization: School of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics – sequence: 5 givenname: Liang surname: Liang fullname: Liang, Liang organization: School of Management, University of Science and Technology of China |
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| Copyright | The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 COPYRIGHT 2021 Springer The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. |
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| Keywords | Malmquist productivity index Carbon emission performance Fixed-sum undesirable outputs Data envelopment analysis |
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| SubjectTerms | Air quality management Business and Management Carbon Carbon dioxide Combinatorics Data analysis Data envelopment analysis Emission analysis Emissions credit trading Empirical analysis Environmental protection Operations research Operations Research/Decision Theory Original Research Theory of Computation |
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| Title | Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs |
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