Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission Efficiency
It is the only way for China's fishery low-carbon development to explore reasonable means of environmental regulation and appropriate intensity of environmental regulation to improve fishery carbon emission efficiency. Based on China's provincial panel data from 2004 to 2020, a super-effic...
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Format: | Article |
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Editorial Office of Ocean Development and Management
2023-02-01
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Series: | Haiyang Kaifa yu guanli |
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Online Access: | http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20230201&flag=1 |
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author | Keliang WANG Hongyu YUAN |
author_facet | Keliang WANG Hongyu YUAN |
author_sort | Keliang WANG |
collection | DOAJ |
description | It is the only way for China's fishery low-carbon development to explore reasonable means of environmental regulation and appropriate intensity of environmental regulation to improve fishery carbon emission efficiency. Based on China's provincial panel data from 2004 to 2020, a super-efficiency SBM model containing unexpected output was used to estimate China's fishery carbon emission efficiency. On this basis, environmental regulations were divided into CER, MER and VER, and the spatial econometric model was used to empirically test the impact of the three environmental regulations on fishery carbon emission efficiency. The results showed that: (1) from the time dimension, the average annual growth rate of fishery carbon emission efficiency was 7.327% during the study period. From the spatial dimension, the carbon emission efficiency of fishery was low in the middle and high in the east and west. (2) The results of spatial Dubin model showed that there was significant heterogeneity in the effects of the three environmental regulations on fishery carbon emission efficiency in this region, and CER and MER had significant spatial spillover characteristics. (3) The results of the spatial quantile model showed that MER had an obvious promotion effect on the carbon emission efficiency of lower-level fisheries, while CER and VER had a weaker inhibition effect on the carbon emission efficiency of higher-level fisheries. |
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format | Article |
id | doaj.art-c12a075e1b76443cb9cc87321a86ddd7 |
institution | Directory Open Access Journal |
issn | 1005-9857 |
language | zho |
last_indexed | 2024-04-10T04:13:08Z |
publishDate | 2023-02-01 |
publisher | Editorial Office of Ocean Development and Management |
record_format | Article |
series | Haiyang Kaifa yu guanli |
spelling | doaj.art-c12a075e1b76443cb9cc87321a86ddd72023-03-13T01:09:54ZzhoEditorial Office of Ocean Development and ManagementHaiyang Kaifa yu guanli1005-98572023-02-014023171005-9857(2023)02-0003-15Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission EfficiencyKeliang WANGHongyu YUANIt is the only way for China's fishery low-carbon development to explore reasonable means of environmental regulation and appropriate intensity of environmental regulation to improve fishery carbon emission efficiency. Based on China's provincial panel data from 2004 to 2020, a super-efficiency SBM model containing unexpected output was used to estimate China's fishery carbon emission efficiency. On this basis, environmental regulations were divided into CER, MER and VER, and the spatial econometric model was used to empirically test the impact of the three environmental regulations on fishery carbon emission efficiency. The results showed that: (1) from the time dimension, the average annual growth rate of fishery carbon emission efficiency was 7.327% during the study period. From the spatial dimension, the carbon emission efficiency of fishery was low in the middle and high in the east and west. (2) The results of spatial Dubin model showed that there was significant heterogeneity in the effects of the three environmental regulations on fishery carbon emission efficiency in this region, and CER and MER had significant spatial spillover characteristics. (3) The results of the spatial quantile model showed that MER had an obvious promotion effect on the carbon emission efficiency of lower-level fisheries, while CER and VER had a weaker inhibition effect on the carbon emission efficiency of higher-level fisheries.http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20230201&flag=1environmental regulationfishery carbon emissionsspatial spilloversuper-sbm-undesirable modelspatial quantile regression model |
spellingShingle | Keliang WANG Hongyu YUAN Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission Efficiency Haiyang Kaifa yu guanli environmental regulation fishery carbon emissions spatial spillover super-sbm-undesirable model spatial quantile regression model |
title | Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission Efficiency |
title_full | Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission Efficiency |
title_fullStr | Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission Efficiency |
title_full_unstemmed | Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission Efficiency |
title_short | Heterogeneous Environmental Regulation, Spatial Spillover and Fishery Carbon Emission Efficiency |
title_sort | heterogeneous environmental regulation spatial spillover and fishery carbon emission efficiency |
topic | environmental regulation fishery carbon emissions spatial spillover super-sbm-undesirable model spatial quantile regression model |
url | http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20230201&flag=1 |
work_keys_str_mv | AT keliangwang heterogeneousenvironmentalregulationspatialspilloverandfisherycarbonemissionefficiency AT hongyuyuan heterogeneousenvironmentalregulationspatialspilloverandfisherycarbonemissionefficiency |