The Impact of Resource Spatial Mismatch on the Configuration Analysis of Agricultural Green Total Factor Productivity

Pengwei Chen, Xuhui Ding (), Mo Chen, Huiqi Song and Muhammad Imran
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Pengwei Chen: Academy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China
Xuhui Ding: School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
Mo Chen: School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China
Huiqi Song: School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100872, China
Muhammad Imran: School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China

Agriculture, 2024, vol. 15, issue 1, 1-19

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.

Keywords: agricultural green quality; EBM-GML index; QCA; resource combination (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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