Does farmland transfer exacerbate non-grain production? Evidence from county-level panel data in Chongqing, China DOI Creative Commons
Ting Du, Chao Li,

Yuan Qi

et al.

Cogent Food & Agriculture, Journal Year: 2024, Volume and Issue: 11(1)

Published: Dec. 27, 2024

This study conducted a theoretical analysis of the pathways and mechanisms through which farmland transfer influences non-grain production, utilizing county-level panel data from Chongqing, China, spanning 2018 to 2022. Exploratory spatial (ESDA) random-effects models were employed reveal characteristics production (NGPFT). The findings indicated: (1) NGPFT in Chongqing showed significant clustering, with high values Metropolitan Developed Economic Area low Three Gorges Reservoir Urban Agglomeration. (2) Farmland didn't directly cause but adjustments factors changes recipients indirectly affected it. (3) Higher farmland-transfer rents exacerbated trend towards production. (4) There was heterogeneity impact different on Specifically, ordinary farmers had inhibiting effect while agricultural enterprises other entities positive effect. Family farms farmers' cooperatives no impact. Suggestions include harnessing transfer's effects resource allocation, being vigilant against land rents' crowding-out grain preventing large-scale by entities, encouraging farmers, family farms, engage

Language: Английский

Multifunctional evaluation and multiscenario regulation of non-grain farmlands from the grain security perspective: Evidence from the Wuhan Metropolitan Area, China DOI
Dan Huang,

Yanchi Lu,

Yaolin Liu

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 146, P. 107322 - 107322

Published: Aug. 30, 2024

Language: Английский

Citations

6
The Impact of Agricultural Credit on Planting Structure: An Empirical Test of Factor Allocation DOI Creative Commons
Hyung Gon Jin, Hui Liu

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 1089 - 1089

Published: May 17, 2025

Rural finance provides financial support for agricultural production. Agricultural credit, as the most important rural resource, is designed to regulate economic activity and guide rational adjustment of economy industrial structure. However, relationship between availability credit farmers their choice cropping behavior in production process remains unexplored depth. To fill this gap, study constructs an analytical framework ‘Agricultural credit-production factor allocation-planting structure decision-making behaviour’. Using data from a large-scale survey China, paper empirically examines impact on specialization ‘grain-oriented’ farm households’ planting using OLS model, mediated effects 2SLS model. In addition, explores mechanism allocation factors process. This has enriched theoretical practical research development. Studies have shown that contributes significantly The findings also show promotes restructuring among through operations, technological advancement, green there are differences depending type food-producing area, scale operation, development digital infrastructure, education head, source credit. These suggest increasing promoting land improvement, machinery, may be effective path optimizing improving efficiency utilization.

Language: Английский

Citations

0
The impact of cropland transfer on rural household income in China: The moderating effects of education DOI
Xiangyu Ji, Yi‐Ting Wang, Lei Yang

et al.

Land Use Policy, Journal Year: 2024, Volume and Issue: 148, P. 107399 - 107399

Published: Oct. 28, 2024

Language: Английский

Citations

2
Impacts of Farmer Differentiation and Environmental Cognition on Farmers’ Willingness to Withdraw from Rural Homesteads: Evidence from Two Pilot Areas in East Hubei, China DOI Creative Commons
Xiaowei Yao,

Liqi Guo,

J. Li

et al.

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1201 - 1201

Published: Aug. 5, 2024

As a key prerequisite for the promotion of withdrawal from rural homesteads (WRH), farmers’ willingness to withdraw has long attracted extensive attention. This study proposes an analytical framework understanding households’ WRH intentions integrating farmer differentiation and environmental cognition (EC), identifies influencing factors, using surveyed data 842 households collected in two pilot villages Hubei Province. Binary logistic regression was applied explore impact factors mechanism. The results show that both EC have significant on their homesteads. Most are positively related villagers’ preference WRH, except age household head, share agricultural income annual income, satisfaction with existing infrastructure. findings emphasize combined roles shaping providing basis other regions benefit experiences areas thus better implement policy.

Language: Английский

Citations

1
Does farmland transfer exacerbate non-grain production? Evidence from county-level panel data in Chongqing, China DOI Creative Commons
Ting Du, Chao Li,

Yuan Qi

et al.

Cogent Food & Agriculture, Journal Year: 2024, Volume and Issue: 11(1)

Published: Dec. 27, 2024

This study conducted a theoretical analysis of the pathways and mechanisms through which farmland transfer influences non-grain production, utilizing county-level panel data from Chongqing, China, spanning 2018 to 2022. Exploratory spatial (ESDA) random-effects models were employed reveal characteristics production (NGPFT). The findings indicated: (1) NGPFT in Chongqing showed significant clustering, with high values Metropolitan Developed Economic Area low Three Gorges Reservoir Urban Agglomeration. (2) Farmland didn't directly cause but adjustments factors changes recipients indirectly affected it. (3) Higher farmland-transfer rents exacerbated trend towards production. (4) There was heterogeneity impact different on Specifically, ordinary farmers had inhibiting effect while agricultural enterprises other entities positive effect. Family farms farmers' cooperatives no impact. Suggestions include harnessing transfer's effects resource allocation, being vigilant against land rents' crowding-out grain preventing large-scale by entities, encouraging farmers, family farms, engage

Language: Английский

Citations

0