Spatial Spillover Effects of Resource Misallocation on the Green Total Factor Productivity in Chinese Agriculture

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归属学者:

王婷婷

作者:

Hu Jiangfeng ; Zhang Xiaofang ; Wang TingTing

摘要:

Continuous resource misallocation not only results in total factor productivity loss but also leads to ecological degradation. Therefore, in the process of changing from extensive growth to intensive growth, Chinese agriculture should pay attention to the problem of resource misallocation. There is currently a lack of relevant research, especially concerning the spatial spillover effects of resource misallocation at the city level. To fill this gap, we employ a spatial panel model for empirical testing on the basis of measuring agricultural green total factor productivity (GTFP) in 306 cities in China from 1996–2017. We found that there is positive spatial autocorrelation in Chinese agricultural GTFP, but it decreases year by year. Misallocation in land, labor, machinery and fertilizer all directly hinder the local GTFP. The eastern is mainly negatively affected by neighbor resource misallocation, while the central and western are mainly negatively affected by local resource misallocation. Finally, the indirect effect of neighbor resource misallocation on GTFP gradually shifts from inhibiting effect to a facilitating effect with increasing spatial distance. These findings have clear policy implications: Chinese government should strengthen agricultural green technology innovation and diffusion, strengthen environmental regulation and promote the free movement of labor between regions and sectors.

语种:

英文

出版日期:

2022-11-25

学科:

环境科学与工程; 公共卫生与预防医学; 应用经济学

收录:

SSCI

提交日期

2022-12-27

引用参考

Hu Jiangfeng; Zhang Xiaofang; Wang TingTing. Spatial Spillover Effects of Resource Misallocation on the Green Total Factor Productivity in Chinese Agriculture[J]. International Journal of Environmental Research and Public Health,2022(23):.

  • dc.title
  • Spatial Spillover Effects of Resource Misallocation on the Green Total Factor Productivity in Chinese Agriculture
  • dc.contributor.author
  • Hu Jiangfeng; Zhang Xiaofang; Wang TingTing
  • dc.contributor.affiliation
  • Chongqing Academy of Social Sciences, Chongqing 400020, China; Pass College, Chongqing Technology and Business University, Chongqing 401520, China; Economic Law School, Southwest University of Political Science and Law, Chongqing 401120, China
  • dc.contributor.corresponding
  • Wang, TT
  • dc.contributor.correspondingAffiliation
  • ,Southwest Univ Polit Sci & Law Econ Law Sch, Chongqing 401120, Peoples R China._1
  • dc.publisher
  • International Journal of Environmental Research and Public Health
  • dc.identifier.year
  • 2022
  • dc.identifier.issue
  • 23
  • dc.identifier.volume
  • 19
  • dc.date.issued
  • 2022-11-25
  • dc.language.iso
  • 英文
  • dc.subject
  • agricultural economics; resource misallocation; green total factor productivity; sequential DEA; spatial panel model
  • dc.description.abstract
  • Continuous resource misallocation not only results in total factor productivity loss but also leads to ecological degradation. Therefore, in the process of changing from extensive growth to intensive growth, Chinese agriculture should pay attention to the problem of resource misallocation. There is currently a lack of relevant research, especially concerning the spatial spillover effects of resource misallocation at the city level. To fill this gap, we employ a spatial panel model for empirical testing on the basis of measuring agricultural green total factor productivity (GTFP) in 306 cities in China from 1996–2017. We found that there is positive spatial autocorrelation in Chinese agricultural GTFP, but it decreases year by year. Misallocation in land, labor, machinery and fertilizer all directly hinder the local GTFP. The eastern is mainly negatively affected by neighbor resource misallocation, while the central and western are mainly negatively affected by local resource misallocation. Finally, the indirect effect of neighbor resource misallocation on GTFP gradually shifts from inhibiting effect to a facilitating effect with increasing spatial distance. These findings have clear policy implications: Chinese government should strengthen agricultural green technology innovation and diffusion, strengthen environmental regulation and promote the free movement of labor between regions and sectors.
  • dc.identifier.issn
  • 1660-4601
  • dc.identifier.if
  • 4.614/Q1
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