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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.

Sec. Land, Livelihoods and Food Security

This article is part of the Research TopicDynamic Land Use and Socioeconomic-Environmental Interaction Patterns: Bridging Sustainability and DevelopmentView all 17 articles

Impact of cultivated land use transformation on agricultural green total factor productivity - A case study of the Yellow River Basin

Provisionally accepted
Bolun  ZhangBolun Zhang1Junhong  LingJunhong Ling1Yang  ZengYang Zeng2*Chen  ShenChen Shen1*Zhanbin  HuangZhanbin Huang3Talehaer  kuermanbiekeTalehaer kuermanbieke4
  • 1Chinese Research Academy of Environmental Sciences, Beijing, China
  • 2Tsinghua University, Beijing, China
  • 3China University of Mining and Technology - Beijing, Beijing, China
  • 4Xinjiang Academy of Environmental Protection Sciences, Urumqi, China

The final, formatted version of the article will be published soon.

Cultivated land resources are essential in the agricultural sector for maintaining food security and promoting economic growth. Currently, there is notable reduction in cultivated land and environmental contamination, hindering the sustainable and healthy growth of agriculture. Consequently, understanding the effect of cultivated land use transformation on agricultural green total factor productivity (AGTFP) is an essential stage in advancing sustainable agriculture. This paper utilizes panel data from 62 cities in the Yellow River Basin between 2000 and 2020. It employs the entropy weight method and the super-efficient non-expectation SBM model, along with the GML index, to assess cultivated land use transformation and AGTFP. Furthermore, a two-way fixed effect model is established to examine the influence of cultivated land use transformation on AGTFP. The results show: (1) From 2000 to 2020, the transformation index of cultivated land use showed a fluctuating upward trend. It peaked in the southeast and was lowest in the central areas. The transformation of cultivated land use is moving towards regional equalization. (2) The AGTFP showed an overall fluctuating and rising trend. AGTFP experiences substantial growth in regions, primarily concentrated in the middle and lower reaches, as well as the central part of the upstream section of the river. Productivity growth in the upstream and midstream sectors is mostly driven by enhanced efficiency change (EC), whereas the downstream sector is advanced by technical change (TC). (3) Cultivated land use transformation contributes significantly to AGTFP, more so in major grain-producing areas and in the east. Functional and modal transitions of cultivated land use contribute significantly to AGTFP, and modal transitions are more effective in promoting AGTFP. In both major grain-producing areas and balance-of-production and marketing areas, both functional and modal transformations were responsible for promoting AGTFP. Functional transformation was more effective in promoting major grain-producing areas than in balanced pro-duction and marketing areas. Overall, this paper carries out mechanistic and empirical research on the mechanism and empirical evidence of cultivated land use transformation affecting AGTFP from the perspective of spatio-temporal patterns. And it provides a scientific reference for food security and the high-quality development of the agricultural economy.

Keywords: cultivated land use transformation, agriculture green total factor productivity, two-way fixed effect model, The yellow river basin, Sustainable development goals

Received: 03 Nov 2025; Accepted: 19 Nov 2025.

Copyright: © 2025 Zhang, Ling, Zeng, Shen, Huang and kuermanbieke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Yang Zeng, katherine982023@163.com
Chen Shen, longsc2012@163.com

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