Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China
This paper employs metafrontier Malmquist-Luenberger index to measure green total factor productivity and then builds panel model to investigate the nonlinear effects of both governmental and civil environmental regulation on green total factor productivity in 30 provinces of China in 2007–2016, whe...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2019/8351512 |
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| author | Xubin Lei Shusheng Wu |
| author_facet | Xubin Lei Shusheng Wu |
| author_sort | Xubin Lei |
| collection | DOAJ |
| description | This paper employs metafrontier Malmquist-Luenberger index to measure green total factor productivity and then builds panel model to investigate the nonlinear effects of both governmental and civil environmental regulation on green total factor productivity in 30 provinces of China in 2007–2016, where the threshold variables are environmental awareness and regulatory foundation. The results show that green total factor productivity takes the characteristic of cyclical fluctuation, and the magnitude and its growth rate in the eastern region are higher than those in the midwestern region. The degrees of the governmental and civil environmental regulation and green total factor productivity display single environmental awareness threshold and regulatory foundation threshold. It should be noted that the sign of governmental and civil environmental regulation on green total factor productivity will transform from negative to positive, if and only if threshold variables ascend and surpass the threshold value. Under the condition of metafrontier technology, governmental environmental awareness threshold value, based on the investigated corruption and malpractice cases by the procuratorates among every hundred thousand people, reaches 0.2158, and civil environmental awareness threshold value based on the per capita education level will attain 12.2330 years, and the corresponding regulatory foundation index threshold values are 0.0163 and 0.0154. These findings show clear policy implications: rather than continually promoting the level of governmental environmental regulation, civil performance, environmental awareness, and regulatory foundation should be considered. |
| format | Article |
| id | doaj-art-8c3b604c51014b81892b6451974fa73b |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-8c3b604c51014b81892b6451974fa73b2025-02-03T01:28:04ZengWileyAdvances in Meteorology1687-93091687-93172019-01-01201910.1155/2019/83515128351512Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in ChinaXubin Lei0Shusheng Wu1School of Economics and Trade, Hunan University, Fenglin Road, 410079 Changsha, Hunan Province, ChinaState Grid Hunan Electric Power Company Limited, Xinshao Dong Road, 410004 Changsha, Hunan Province, ChinaThis paper employs metafrontier Malmquist-Luenberger index to measure green total factor productivity and then builds panel model to investigate the nonlinear effects of both governmental and civil environmental regulation on green total factor productivity in 30 provinces of China in 2007–2016, where the threshold variables are environmental awareness and regulatory foundation. The results show that green total factor productivity takes the characteristic of cyclical fluctuation, and the magnitude and its growth rate in the eastern region are higher than those in the midwestern region. The degrees of the governmental and civil environmental regulation and green total factor productivity display single environmental awareness threshold and regulatory foundation threshold. It should be noted that the sign of governmental and civil environmental regulation on green total factor productivity will transform from negative to positive, if and only if threshold variables ascend and surpass the threshold value. Under the condition of metafrontier technology, governmental environmental awareness threshold value, based on the investigated corruption and malpractice cases by the procuratorates among every hundred thousand people, reaches 0.2158, and civil environmental awareness threshold value based on the per capita education level will attain 12.2330 years, and the corresponding regulatory foundation index threshold values are 0.0163 and 0.0154. These findings show clear policy implications: rather than continually promoting the level of governmental environmental regulation, civil performance, environmental awareness, and regulatory foundation should be considered.http://dx.doi.org/10.1155/2019/8351512 |
| spellingShingle | Xubin Lei Shusheng Wu Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China Advances in Meteorology |
| title | Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China |
| title_full | Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China |
| title_fullStr | Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China |
| title_full_unstemmed | Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China |
| title_short | Nonlinear Effects of Governmental and Civil Environmental Regulation on Green Total Factor Productivity in China |
| title_sort | nonlinear effects of governmental and civil environmental regulation on green total factor productivity in china |
| url | http://dx.doi.org/10.1155/2019/8351512 |
| work_keys_str_mv | AT xubinlei nonlineareffectsofgovernmentalandcivilenvironmentalregulationongreentotalfactorproductivityinchina AT shushengwu nonlineareffectsofgovernmentalandcivilenvironmentalregulationongreentotalfactorproductivityinchina |