Impact of digital technology on herders’ grassland leasing-in decisions in Inner Mongolia, China

Against the backdrop of grassland ecological degradation, grassland transfer has become a crucial pathway for optimizing livestock resource allocation and promoting sustainable pastoral development. Based on survey data from 383 herder households in the farming-pastoral ecotone of Inner Mongolia, China, this study applies Heckman models, mediation models, and moderation models to examine the impact of digital technology on herders' grassland leasing-in decisions and the underlying mechanisms. The results indicate that digital technology significantly increases both the probability and the scale of grassland leasing-in among herders. Moreover, digital technology indirectly promotes grassland leasing-in by enhancing scale efficiency. Notably, strong social networks weaken the facilitating role of digital technology in grassland transfer, whereas weak social networks strengthen it. The impact of digital technology on grassland leasing-in is especially pronounced under environmental regulations with weak incentives but strong constraints. Finally, compared with ordinary herders, digital technology has a significantly positive effect on grassland leasing-in only for new-type operators. In addition, the impact of digital technology is more pronounced among groups with higher levels of education.

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Publication Details

Journal
PLoS ONE
Published
2025-09-09
DOI
https://doi.org/10.1371/journal.pone.0331914
Primary Topic
Rangeland Management and Livestock Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of digital technology on herders’ grassland leasing-in decisions in Inner Mongolia, China

Haihua Lin, Jiali Han, Mei Yong, Fulin Du et al.
PLoS ONE
Rangeland Management and Livestock Ecology
article

Impact of digital technology on herders’ grassland leasing-in decisions in Inner Mongolia, China

Haihua Lin, Jiali Han, Mei Yong, Fulin Du, Xue Chen, Zhaozhong Feng
article en

Abstract

Against the backdrop of grassland ecological degradation, grassland transfer has become a crucial pathway for optimizing livestock resource allocation and promoting sustainable pastoral development. Based on survey data from 383 herder households in the farming-pastoral ecotone of Inner Mongolia, China, this study applies Heckman models, mediation models, and moderation models to examine the impact of digital technology on herders' grassland leasing-in decisions and the underlying mechanisms. The results indicate that digital technology significantly increases both the probability and the scale of grassland leasing-in among herders. Moreover, digital technology indirectly promotes grassland leasing-in by enhancing scale efficiency. Notably, strong social networks weaken the facilitating role of digital technology in grassland transfer, whereas weak social networks strengthen it. The impact of digital technology on grassland leasing-in is especially pronounced under environmental regulations with weak incentives but strong constraints. Finally, compared with ordinary herders, digital technology has a significantly positive effect on grassland leasing-in only for new-type operators. In addition, the impact of digital technology is more pronounced among groups with higher levels of education.

PLoS ONEVol. 20(9)
Inner Mongolia Agricultural University (CN), Shinawatra University (TH), Inner Mongolia University of Finance and Economics (CN)
Inner Mongolia Agricultural University
Openalex Percentile: Top 67%
Rangeland Management and Livestock Ecology
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Impact of digital technology on herders’ grassland leasing-in decisions in Inner Mongolia, China — Haihua Lin, Jiali Han, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS