The Impact of Resource Spatial Mismatch on the Configuration Analysis of Agricultural Green Total Factor Productivity
Green agriculture represents the future of agricultural transformation in developing countries, such as China. Identifying an effective resource combination path is vital for enhancing the green quality of agriculture in these nations. This study draws on the resource spatial mismatch theory from Ne...
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Published in | Agriculture (Basel) Vol. 15; no. 1; p. 23 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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ISSN | 2077-0472 2077-0472 |
DOI | 10.3390/agriculture15010023 |
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Abstract | Green agriculture represents the future of agricultural transformation in developing countries, such as China. Identifying an effective resource combination path is vital for enhancing the green quality of agriculture in these nations. This study draws on the resource spatial mismatch theory from New Economic Geography, using a “multisource heterogeneous” approach that combines qualitative comparative analysis (QCA) with the EBM-GML index measurement model. Using panel data from 2005 to 2021, the study investigated the effects and mechanisms of spatial resource combinations on improving green agricultural quality. The key findings are as follows: (1) While improving spatial resource misallocation helps boost green agricultural quality, the diversity of resource combination patterns has diminished, decreasing from five modes in 2005 to four in 2021. (2) In terms of mechanisms, reducing externalities, such as pollutant emissions, while strengthening material and human capital offers a potential pathway for improvement. (3) Negative externalities, including emissions from fertilizers and petroleum, significantly hinder improvements in green agricultural quality. (4) The absence of sufficient pesticide and fertilizer resources is a critical factor influencing the outcome. These findings provide practical insights for developing countries seeking to enhance regional resource allocation efficiency and improve agricultural green quality. Additionally, they contribute theoretical support to the enrichment of theories on resource allocation and sustainable agricultural development. |
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AbstractList | Green agriculture represents the future of agricultural transformation in developing countries, such as China. Identifying an effective resource combination path is vital for enhancing the green quality of agriculture in these nations. This study draws on the resource spatial mismatch theory from New Economic Geography, using a “multisource heterogeneous” approach that combines qualitative comparative analysis (QCA) with the EBM-GML index measurement model. Using panel data from 2005 to 2021, the study investigated the effects and mechanisms of spatial resource combinations on improving green agricultural quality. The key findings are as follows: (1) While improving spatial resource misallocation helps boost green agricultural quality, the diversity of resource combination patterns has diminished, decreasing from five modes in 2005 to four in 2021. (2) In terms of mechanisms, reducing externalities, such as pollutant emissions, while strengthening material and human capital offers a potential pathway for improvement. (3) Negative externalities, including emissions from fertilizers and petroleum, significantly hinder improvements in green agricultural quality. (4) The absence of sufficient pesticide and fertilizer resources is a critical factor influencing the outcome. These findings provide practical insights for developing countries seeking to enhance regional resource allocation efficiency and improve agricultural green quality. Additionally, they contribute theoretical support to the enrichment of theories on resource allocation and sustainable agricultural development. |
Audience | Academic |
Author | Chen, Pengwei Song, Huiqi Imran, Muhammad Ding, Xuhui Chen, Mo |
Author_xml | – sequence: 1 givenname: Pengwei surname: Chen fullname: Chen, Pengwei – sequence: 2 givenname: Xuhui orcidid: 0000-0001-5682-9019 surname: Ding fullname: Ding, Xuhui – sequence: 3 givenname: Mo orcidid: 0009-0002-7833-1144 surname: Chen fullname: Chen, Mo – sequence: 4 givenname: Huiqi orcidid: 0000-0001-6332-6719 surname: Song fullname: Song, Huiqi – sequence: 5 givenname: Muhammad orcidid: 0000-0002-3807-1483 surname: Imran fullname: Imran, Muhammad |
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SubjectTerms | Agricultural development agricultural green quality Agricultural industry Agricultural production Agriculture Agrochemicals Analysis Comparative analysis Consumption Cost control Developing countries EBM-GML index Economic development Economic geography Efficiency Emissions Fertilizers Geography Human capital Impact analysis LDCs Monopolistic competition Pesticides Productivity QCA Qualitative analysis Qualitative research Regional development Regions Resource allocation resource combination Resource efficiency Sustainable agriculture Sustainable development |
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Title | The Impact of Resource Spatial Mismatch on the Configuration Analysis of Agricultural Green Total Factor Productivity |
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