Sustainable Farmland Transfer and Food Production: Economic and Policy Perspectives in Agriculture

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Economics, Policies and Rural Management".

Deadline for manuscript submissions: 20 August 2026 | Viewed by 2574

Special Issue Editors

College of Economics and Management, Northwest A&F University, Xianyang 712100, China
Interests: land transfer and grain production; land economics; agricultural economic theory and policy; poverty alleviation; rural industrial management

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Guest Editor
College of Economics and Management, Northwest A&F University, Xianyang 712100, China
Interests: farmland protection and food security; cultivated land fragmentation governance and land consolidation; rural land reform and rural revitalization
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Special Issue Information

Dear Colleagues,

Farmland transfer, as a critical mechanism for optimizing agricultural resource allocation, has garnered increasing attention in the context of global food security, rural revitalization, and sustainable development. However, the rapid urbanization, climate pressures, and food security imperatives demand sustainable transfer models that can balance productivity, equity, and ecological resilience. This Special Issue aims to explore the multifaceted relationships between sustainable farmland transfer, food production, and the underlying economic dynamics and policy frameworks, with a focus on generating evidence-based insights for scholars and policymakers. From an economic perspective, this issue will examine how market mechanisms, transaction costs, and incentive structures influence farmers’ decisions in land transfer, as well as the impacts of transfer patterns (e.g., rental, sharecropping, or collective management) on agricultural productivity, farm efficiency, and farmers’ income. It will also explore the role of factor endowments (e.g., labor, capital, and technology) in mediating the effects of farmland transfer on food production, including crop yield, quality, and diversification. Policy perspectives are equally central, as government interventions—such as land tenure reforms, subsidy policies, and regulatory frameworks—play a pivotal role in shaping the direction and outcomes of farmland transfer. Contributions are encouraged to analyze the design, implementation, and effectiveness of policies aimed at promoting sustainable transfer practices, addressing potential risks, and aligning transfer activities with national and global food security goals.

Key themes to be covered include, but are not limited to, the following:

  • The impact of farmland transfer on food production efficiency, stability, and sustainability (e.g., through scale economies, adoption of modern technologies, or sustainable farming practices).
  • Economic incentives and constraints for farmers engaging in sustainable land transfer, including income effects and risk mitigation.
  • Policy tools for balancing farmland commercialization with food security, such as land use planning, tenure security, and ecological compensation mechanisms.
  • Regional and international comparisons of farmland transfer models, highlighting context-specific challenges and best practices in diverse agricultural systems (e.g., smallholder-dominated vs. large-scale farming regions).
  • The role of digitalization, financial innovation, and institutional arrangements in facilitating transparent, inclusive, and sustainable farmland transfer.

We welcome original research articles, reviews, and policy analyses that employ quantitative, qualitative, or mixed-methods approaches, including case studies, econometric modeling, and participatory research. By synthesizing cutting-edge research on these topics, this Special Issue seeks to advance theoretical and empirical understanding of how sustainable farmland transfer can be leveraged to enhance food production capacity while fostering equitable and environmentally sound agricultural development.

Dr. Qian Wang
Dr. Bangbang Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • farmland transfer
  • grain crop production
  • cropping structure
  • impact analysis
  • economic drivers
  • policy design
  • sustainable development
  • grain producers

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Published Papers (3 papers)

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Research

20 pages, 586 KB  
Article
The Impact of Female Household Status on Decision-Making in Digital and Intelligent Production Transformation: A Case Study of Plant Protection Drone Adoption
by Xinyi Liu, Yutian Zhang and Qian Wang
Agriculture 2026, 16(9), 984; https://doi.org/10.3390/agriculture16090984 - 29 Apr 2026
Viewed by 477
Abstract
Investigating the influence of women’s family status on farmers’ adoption of digital and intelligent production transformation holds significant value in bridging the gender gap in research on modern agricultural production transformation and in facilitating the digital and intelligent transformation of the agricultural sector. [...] Read more.
Investigating the influence of women’s family status on farmers’ adoption of digital and intelligent production transformation holds significant value in bridging the gender gap in research on modern agricultural production transformation and in facilitating the digital and intelligent transformation of the agricultural sector. Drawing on survey data from Henan Province collected through a household survey conducted in July 2024 by the research team, which employed a combination of stratified and random sampling, and focusing on farmers’ adoption of plant protection drone technology, this paper employs the Triple-Hurdle model to examine the impact of women’s family status on farmers’ digital and intelligent production transformation decisions and the underlying mechanisms. The baseline regression results show that the improvement of women’s family status facilitates farmers’ digital and intelligent production transformation decisions. Specifically, it enhances farmers’ willingness to adopt digital and intelligent production transformation, promotes their adoption behavior of plant protection drone technology, and increases the degree of adoption of such technology. The mechanism analysis reveals that the improvement of women’s family status promotes farmers’ digital and intelligent production transformation decisions by increasing their satisfaction with the institutional environment. The heterogeneity analysis of household characteristics indicates that women’s family status has a greater facilitating effect on the willingness of farmers with lower female labor force participation and those with heavier child or elderly dependency burdens to undergo digital and intelligent production transformation. The heterogeneity analysis of village environmental characteristics shows that women’s family status has a greater facilitating effect on the willingness and behavior of farmers in villages with a larger number of technical personnel to undergo digital and intelligent production transformation. Additionally, it has a greater facilitating effect on the willingness of farmers in villages with a stronger culture of gender equality to undergo such transformation. Using plant protection drone adoption as an example, this paper provides preliminary evidence of the positive impact of women’s family status on the digital and intelligent transformation of agriculture. However, due to the inherent limitations of cross-sectional data, our exploration of the dynamic process of transformation remains inadequate. Therefore, future research is warranted to employ longitudinal panel data to further validate the findings of this study. Full article
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28 pages, 775 KB  
Article
A Copula-Based Efficiency Effects Stochastic Frontier Model with Application to Government Programs in Thai Rice Farming
by Woraphon Yamaka, Nuttaphong Kaewtathip, Wiranya Puntoon, Roengchai Tansuchat and Paravee Maneejuk
Agriculture 2026, 16(9), 927; https://doi.org/10.3390/agriculture16090927 - 23 Apr 2026
Viewed by 406
Abstract
This study examines the relationship between major government support programs and farm-level technical efficiency in Thailand’s sticky rice sector. While existing studies have extensively analyzed rice efficiency, limited attention has been given to distinguishing the efficiency implications of different policy instruments or to [...] Read more.
This study examines the relationship between major government support programs and farm-level technical efficiency in Thailand’s sticky rice sector. While existing studies have extensively analyzed rice efficiency, limited attention has been given to distinguishing the efficiency implications of different policy instruments or to modeling dependence between stochastic shocks and inefficiency. Methodologically, we employ a copula-based stochastic frontier efficiency effects model that jointly estimates production and inefficiency determinants while allowing for flexible dependence between noise and inefficiency components. Empirically, we use primary survey data from 429 farmers in Northern Thailand. The results indicate that participation in the debt moratorium program is positively associated with technical efficiency, whereas the widely implemented 1000-baht-per-rai subsidy is negatively associated with efficiency. The cost-reduction program exhibits no statistically significant association. The mean technical efficiency is 0.458, with a distribution concentrated at both low and high efficiency levels, indicating substantial heterogeneity across farmers. Full article
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43 pages, 1548 KB  
Article
The Constraints of Farmers’ Endowments, Technological Progress Bias, and Modern Agricultural Production: Evidence from China’s Incomplete Factor Markets
by Junjie Qiu, Caihua Xu, Haiyang Chen, Luuk Fleskens and Jin Yu
Agriculture 2026, 16(5), 618; https://doi.org/10.3390/agriculture16050618 - 7 Mar 2026
Viewed by 650
Abstract
China’s agricultural modernization hinges on integrating smallholder farmers into modern production systems, yet incomplete rural factor markets and endowment constraints hinder this transition. This study examines how capital, labor, and land constraints limit smallholders’ adoption of modern agricultural production (MAP) and whether technological [...] Read more.
China’s agricultural modernization hinges on integrating smallholder farmers into modern production systems, yet incomplete rural factor markets and endowment constraints hinder this transition. This study examines how capital, labor, and land constraints limit smallholders’ adoption of modern agricultural production (MAP) and whether technological progress biases exacerbate these barriers. Using panel data from Shandong and Henan (2012–2022), we find that endowment constraints reduce MAP adoption by 0.028% per 1% increase in constraints, with capital constraints being the most binding. These findings remain robust after endogeneity concerns and robustness checks. Regarding the mechanism, capital-based technological progress bias mitigates the negative impact, whereas labor-based technological progress bias exacerbates it. Smallholder farmers are generally biased towards increased use of labor-based technologies and reduced use of capital-based technologies, but the trend is gradually reversing. Policy priorities include targeted subsidies to alleviate capital constraints, land tenure reforms to facilitate scale operations, and technology extension programs tailored to smallholders’ resource endowments. These findings offer a roadmap for China’s rural revitalization strategy and broader agricultural modernization efforts in developing economies. Full article
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