Spatio-temporal differentiation on China's green agricultural total factor productivity guided by digital technology and fuzzy systems

Chinese agriculture grapples with contemporary challenges involving resource scarcity, environmental concerns, and transformations in agricultural labor structures. This work endeavors to address these challenges and foster sustainable agricultural development by advocating the principles of agricul...

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Vydané v:Cogent food & agriculture Ročník 10; číslo 1
Hlavní autori: Wen, Changcun, Hu, Bao, Sun, Yongpeng, Xiao, Yiping
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Cogent 31.12.2024
Taylor & Francis Ltd
Taylor & Francis Group
Predmet:
Agricultural development
Agriculture
China
Digital technology
Evolution
farm labor
feminization
fuzzy system
Fuzzy systems
green agricultural total factor productivity
Green development
Labor
labor force
Manuel Tejada Institute for Rural Development, Zhejiang Academy of Agricultural
Productivity
Science; Environment & Agriculture; Agriculture & Environmental Sciences; Technology; Computer Science; Algorithms & Complexity; Artificial Intelligence
Sustainable agriculture
Sustainable development
Urbanization
China
ISSN:2331-1932, 2331-1932
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Shrnutí:Chinese agriculture grapples with contemporary challenges involving resource scarcity, environmental concerns, and transformations in agricultural labor structures. This work endeavors to address these challenges and foster sustainable agricultural development by advocating the principles of agricultural green development and sustainability in China. The application principles of digital technology are first expounded alongside a discussion on the foundational concepts of fuzzy systems. Subsequently, an in-depth analysis is undertaken on the composition and trajectory of China's agricultural total factor productivity (ATFP), culminating in the construction of a Green ATFP model. The findings illuminate the heavy reliance on labor and resources in current agricultural development, with the transformation of labor structure emerging as a pivotal factor influencing progress. Notably, the trends of feminization, aging, and urbanization in rural labor have precipitated a substantial shortage, impeding agricultural development. Furthermore, under the guidance of digital technology and fuzzy systems, this paper establishes the theoretical framework of green ATFP. Evaluation results disclose a noteworthy decrease in the contribution rates of various indicators under the Green ATFP model, with the highest contribution rate approximating 1.23. This implies that the existing measures for China's green ATFP are still imperfect, signaling a need for greater emphasis on environmental considerations in agricultural development. This work furnishes valuable insights for advancing agricultural development and contributes significantly to the ongoing efforts in promoting the green evolution of Chinese agriculture.
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ISSN:2331-1932
2331-1932
DOI:10.1080/23311932.2024.2311962