Unlocking the effects and optimization path of financial support for improvement in environmental quality and rural revitalization development: an empirical analysis based on provincial data of Shaanxi province
This study establishes an economic financial support model for the improvement of environmental quality through the development rural revitalization based on the extended Cobb–Douglas production function. Using statistical data from Shaanxi Province, China, from 2004 to 2019, a vector autoregressive...
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| Veröffentlicht in: | Environmental science and pollution research international 2023-04, Vol.30 (16), p.46795-46812 |
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| creator | Wei, Liqian Wang, Yaping Zhou, Zizhan Luo, Jianchao |
| description | This study establishes an economic financial support model for the improvement of environmental quality through the development rural revitalization based on the extended Cobb–Douglas production function. Using statistical data from Shaanxi Province, China, from 2004 to 2019, a vector autoregressive (VAR) model is used to empirically analyze the development effect of financial support for rural revitalization and to give the focus points and optimization paths for financial support for environmental quality, rural revitalization and sustainable development. The research results show that financial support plays an active and long-term role in improving environmental quality and promoting rural revitalization and sustainable development. Specifically, the effect of financial instruments in supporting rural revitalization and sustainable development is continuous. In the insurance system, increasing the scale of agricultural insurance support and expanding the coverage of agricultural insurance are key to improving environmental quality and promoting rural revitalization and sustainable development. Therefore, financial policy makers should improve the targeting of financial instruments to provide the right guidance for improving the quality of rural environment and enhancing rural economy, so as to ultimately realize rural revitalization in China. |
| doi_str_mv | 10.1007/s11356-023-25569-6 |
| format | Article |
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Using statistical data from Shaanxi Province, China, from 2004 to 2019, a vector autoregressive (VAR) model is used to empirically analyze the development effect of financial support for rural revitalization and to give the focus points and optimization paths for financial support for environmental quality, rural revitalization and sustainable development. The research results show that financial support plays an active and long-term role in improving environmental quality and promoting rural revitalization and sustainable development. Specifically, the effect of financial instruments in supporting rural revitalization and sustainable development is continuous. In the insurance system, increasing the scale of agricultural insurance support and expanding the coverage of agricultural insurance are key to improving environmental quality and promoting rural revitalization and sustainable development. 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Using statistical data from Shaanxi Province, China, from 2004 to 2019, a vector autoregressive (VAR) model is used to empirically analyze the development effect of financial support for rural revitalization and to give the focus points and optimization paths for financial support for environmental quality, rural revitalization and sustainable development. The research results show that financial support plays an active and long-term role in improving environmental quality and promoting rural revitalization and sustainable development. Specifically, the effect of financial instruments in supporting rural revitalization and sustainable development is continuous. In the insurance system, increasing the scale of agricultural insurance support and expanding the coverage of agricultural insurance are key to improving environmental quality and promoting rural revitalization and sustainable development. Therefore, financial policy makers should improve the targeting of financial instruments to provide the right guidance for improving the quality of rural environment and enhancing rural economy, so as to ultimately realize rural revitalization in China.</description><subject>Agriculture</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Autoregressive models</subject><subject>China</subject><subject>Earth and Environmental Science</subject><subject>Economic models</subject><subject>economic policy</subject><subject>Ecotoxicology</subject><subject>Empirical analysis</subject><subject>empirical research</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental quality</subject><subject>Environmental science</subject><subject>Financial instruments</subject><subject>Financial 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Jianchao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unlocking the effects and optimization path of financial support for improvement in environmental quality and rural revitalization development: an empirical analysis based on provincial data of Shaanxi province</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>30</volume><issue>16</issue><spage>46795</spage><epage>46812</epage><pages>46795-46812</pages><issn>1614-7499</issn><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>This study establishes an economic financial support model for the improvement of environmental quality through the development rural revitalization based on the extended Cobb–Douglas production function. Using statistical data from Shaanxi Province, China, from 2004 to 2019, a vector autoregressive (VAR) model is used to empirically analyze the development effect of financial support for rural revitalization and to give the focus points and optimization paths for financial support for environmental quality, rural revitalization and sustainable development. The research results show that financial support plays an active and long-term role in improving environmental quality and promoting rural revitalization and sustainable development. Specifically, the effect of financial instruments in supporting rural revitalization and sustainable development is continuous. In the insurance system, increasing the scale of agricultural insurance support and expanding the coverage of agricultural insurance are key to improving environmental quality and promoting rural revitalization and sustainable development. Therefore, financial policy makers should improve the targeting of financial instruments to provide the right guidance for improving the quality of rural environment and enhancing rural economy, so as to ultimately realize rural revitalization in China.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>36723834</pmid><doi>10.1007/s11356-023-25569-6</doi><tpages>18</tpages></addata></record> |
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| subjects | Agriculture Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Autoregressive models China Earth and Environmental Science Economic models economic policy Ecotoxicology Empirical analysis empirical research Environment Environmental Chemistry Environmental Health Environmental quality Environmental science Financial instruments Financial Support funding Humans Insurance Models, Economic Optimization production functions Research Article Rural areas rural economics Rural environments Rural Population Sustainability Sustainable Development Waste Water Technology Water Management Water Pollution Control |
| title | Unlocking the effects and optimization path of financial support for improvement in environmental quality and rural revitalization development: an empirical analysis based on provincial data of Shaanxi province |
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