Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from China
Exploring the determinants of green total factor productivity (green TFP) is of great importance to economic performance and ecological sustainability. Based on the data of 30 provincial units in China from 2004 to 2016, this study first analyzes the mechanism of land transfer marketization (LTM) af...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.975282/full |
| _version_ | 1811216981505867776 |
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| author | Xu Jiang Xinhai Lu Mengqi Gong |
| author_facet | Xu Jiang Xinhai Lu Mengqi Gong |
| author_sort | Xu Jiang |
| collection | DOAJ |
| description | Exploring the determinants of green total factor productivity (green TFP) is of great importance to economic performance and ecological sustainability. Based on the data of 30 provincial units in China from 2004 to 2016, this study first analyzes the mechanism of land transfer marketization (LTM) affecting green TFP through resource allocation, then the regional resource allocation level is measured using the indicator of factor market distortion, and regional green TFP is estimated by the slack-based measure (SBM) directional distance function and Malmquist–Luenberger (ML) index. On the basis of that, a panel threshold regression model is used to empirically examine the theoretical mechanism of LTM affecting green TFP through the intermediate variable of resource allocation. We find that there is one single-threshold effect between LTM, resource allocation, and green TFP taking resource allocation as the threshold variable. Specifically, while the degree of resource mismatch is lower than 0.1371, the coefficient of LTM on green TFP is 0.1553; otherwise, the coefficient changes to −0.2776. This study concludes that LTM would significantly increase green TFP when the degree of regional resource mismatch is below the threshold; otherwise, it would have an inhibitory effect on the development of green TFP. In addition, the economic development level, R&D investment, and infrastructure level can, to a certain extent, contribute to the improvement of green TFP. The findings have three important policy implications for the land transfer policy of local governments, investment strategies of enterprises, and differentiated policy services. |
| first_indexed | 2024-04-12T06:46:29Z |
| format | Article |
| id | doaj.art-eef3ed3b25d648ff87d8db46aaecb032 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-04-12T06:46:29Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Environmental Science |
| spelling | doaj.art-eef3ed3b25d648ff87d8db46aaecb0322022-12-22T03:43:32ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-11-011010.3389/fenvs.2022.975282975282Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from ChinaXu Jiang0Xinhai Lu1Mengqi Gong2School of Public Policy and Administration, Chongqing University, Chongqing, ChinaSchool of Public Administration, Central China Normal University, Wuhan, ChinaLaw and Business School, Wuhan Institute of Technology, Wuhan, ChinaExploring the determinants of green total factor productivity (green TFP) is of great importance to economic performance and ecological sustainability. Based on the data of 30 provincial units in China from 2004 to 2016, this study first analyzes the mechanism of land transfer marketization (LTM) affecting green TFP through resource allocation, then the regional resource allocation level is measured using the indicator of factor market distortion, and regional green TFP is estimated by the slack-based measure (SBM) directional distance function and Malmquist–Luenberger (ML) index. On the basis of that, a panel threshold regression model is used to empirically examine the theoretical mechanism of LTM affecting green TFP through the intermediate variable of resource allocation. We find that there is one single-threshold effect between LTM, resource allocation, and green TFP taking resource allocation as the threshold variable. Specifically, while the degree of resource mismatch is lower than 0.1371, the coefficient of LTM on green TFP is 0.1553; otherwise, the coefficient changes to −0.2776. This study concludes that LTM would significantly increase green TFP when the degree of regional resource mismatch is below the threshold; otherwise, it would have an inhibitory effect on the development of green TFP. In addition, the economic development level, R&D investment, and infrastructure level can, to a certain extent, contribute to the improvement of green TFP. The findings have three important policy implications for the land transfer policy of local governments, investment strategies of enterprises, and differentiated policy services.https://www.frontiersin.org/articles/10.3389/fenvs.2022.975282/fullland useland transfer marketizationresource allocationgreen total factor productivitypanel threshold regression model |
| spellingShingle | Xu Jiang Xinhai Lu Mengqi Gong Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from China Frontiers in Environmental Science land use land transfer marketization resource allocation green total factor productivity panel threshold regression model |
| title | Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from China |
| title_full | Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from China |
| title_fullStr | Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from China |
| title_full_unstemmed | Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from China |
| title_short | Assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation: Evidence from China |
| title_sort | assessing the effects of land transfer marketization on green total factor productivity from the perspective of resource allocation evidence from china |
| topic | land use land transfer marketization resource allocation green total factor productivity panel threshold regression model |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.975282/full |
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