Low Carbon Economy Assessment in China Using the Super-SBM Model
This review proposes a performance evaluation system of low-carbon economic development based on multiobjective analysis in low-carbon environment. This is a modeling method combining super efficiency and relaxation-based measurement model (super-SBM model), which can effectively measure green innov...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/4690140 |
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| _version_ | 1832553597207838720 |
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| author | Yanhong Ding Yu Han |
| author_facet | Yanhong Ding Yu Han |
| author_sort | Yanhong Ding |
| collection | DOAJ |
| description | This review proposes a performance evaluation system of low-carbon economic development based on multiobjective analysis in low-carbon environment. This is a modeling method combining super efficiency and relaxation-based measurement model (super-SBM model), which can effectively measure green innovation efficiency with unexpected outputs and traditional innovation efficiency without unexpected outputs. Using the Malmquist–Luenberger index method to dynamically analyze the efficiency of green innovation, a multiobjective model is obtained, including economic scheduling target considering wind power cost and low-carbon scheduling target considering carbon trading. The efficiency of green innovation considering unexpected output is obviously lower than that of traditional innovation without considering unexpected output. This phenomenon is more pronounced in some areas of central and western China. Technical efficiency improves the innovation level of environmental protection economy in China and the impact of technological progress is greater than that of technical efficiency. In this review, the output super SBM model is used to study the development of China's low-carbon industry, and the correlation between the prediction model and the performance change of low-carbon economic development is analyzed. The Malmquist–Luenberger (ML) index of environmental protection product development efficiency in China is not less than 1. Due to the improvement of the efficiency of scientific and technological development, the combination of the two will eventually lead to the improvement of the development of green products and environmental economic products in China. Combining with the empirical analysis, this paper puts forward some methods to promote the low-carbon economy in the economic zone. |
| format | Article |
| id | doaj-art-2af1aa67ca594e0da6111c74174bafe0 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-2af1aa67ca594e0da6111c74174bafe02025-02-03T05:53:35ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/4690140Low Carbon Economy Assessment in China Using the Super-SBM ModelYanhong Ding0Yu Han1School of Economics and ManagementFaculty of Social SciencesThis review proposes a performance evaluation system of low-carbon economic development based on multiobjective analysis in low-carbon environment. This is a modeling method combining super efficiency and relaxation-based measurement model (super-SBM model), which can effectively measure green innovation efficiency with unexpected outputs and traditional innovation efficiency without unexpected outputs. Using the Malmquist–Luenberger index method to dynamically analyze the efficiency of green innovation, a multiobjective model is obtained, including economic scheduling target considering wind power cost and low-carbon scheduling target considering carbon trading. The efficiency of green innovation considering unexpected output is obviously lower than that of traditional innovation without considering unexpected output. This phenomenon is more pronounced in some areas of central and western China. Technical efficiency improves the innovation level of environmental protection economy in China and the impact of technological progress is greater than that of technical efficiency. In this review, the output super SBM model is used to study the development of China's low-carbon industry, and the correlation between the prediction model and the performance change of low-carbon economic development is analyzed. The Malmquist–Luenberger (ML) index of environmental protection product development efficiency in China is not less than 1. Due to the improvement of the efficiency of scientific and technological development, the combination of the two will eventually lead to the improvement of the development of green products and environmental economic products in China. Combining with the empirical analysis, this paper puts forward some methods to promote the low-carbon economy in the economic zone.http://dx.doi.org/10.1155/2022/4690140 |
| spellingShingle | Yanhong Ding Yu Han Low Carbon Economy Assessment in China Using the Super-SBM Model Discrete Dynamics in Nature and Society |
| title | Low Carbon Economy Assessment in China Using the Super-SBM Model |
| title_full | Low Carbon Economy Assessment in China Using the Super-SBM Model |
| title_fullStr | Low Carbon Economy Assessment in China Using the Super-SBM Model |
| title_full_unstemmed | Low Carbon Economy Assessment in China Using the Super-SBM Model |
| title_short | Low Carbon Economy Assessment in China Using the Super-SBM Model |
| title_sort | low carbon economy assessment in china using the super sbm model |
| url | http://dx.doi.org/10.1155/2022/4690140 |
| work_keys_str_mv | AT yanhongding lowcarboneconomyassessmentinchinausingthesupersbmmodel AT yuhan lowcarboneconomyassessmentinchinausingthesupersbmmodel |