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Factors affecting agricultural land transfer-out in China: a semiparametric instrumental variable model

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Listed:
  • Meishan Jiang
  • Jingrong Li
  • Krishna P. Paudel
  • Yunsheng Mi

Abstract

This paper uses a semiparametric instrumental variable model to study the determinants of agricultural land transfer-out, using face-to-face survey data collected in 2014 from 2,677 farmers in nine provinces of China. Results show that variables, such as the number of parcels of land, the collective’s total land transfer-out, and the availability of a transportation network, have significant linear positive effects on households’ farmland transfer-out. Having family members with a lower educational level affect land transfer-out negatively. Landholding size and land idling have an inverted-U and L shaped impact, respectively, on land transfer-out. Results also indicate that agricultural income ratio has an overall negative influence on land transfer out. Land transfer-out has the potential to provide opportunities to earn additional income from the land, increase land productivity, and reduce poverty in rural China.

Suggested Citation

  • Meishan Jiang & Jingrong Li & Krishna P. Paudel & Yunsheng Mi, 2019. "Factors affecting agricultural land transfer-out in China: a semiparametric instrumental variable model," Applied Economics Letters, Taylor & Francis Journals, vol. 26(20), pages 1729-1733, November.
    • Handle: RePEc:taf:apeclt:v:26:y:2019:i:20:p:1729-1733
    DOI: 10.1080/13504851.2019.1593929
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    Citations

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    Cited by:

    1. Zou, Baoling & Mishra, Ashok K., 2022. "Engaging Information Technology in Farmland Rental Market: An Empirical Study from Rural China," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322265, Agricultural and Applied Economics Association.
    2. Li, Jingrong & Zhang, Chenlei & Mi, Yunsheng, 2021. "Land titling and internal migration: Evidence from China," Land Use Policy, Elsevier, vol. 111(C).
    3. Dependra Bhatta & Krishna P. Paudel & Kai Liu, 2023. "Factors influencing water conservation practices adoptions by Nepali farmers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10879-10901, October.
    4. Yi Chen & Zhengbing Wang, 2023. "The Impact of Land Transfers on the Adoption of New Varieties: Evidence from Micro-Survey Data in Shaanxi Province, China," Land, MDPI, vol. 12(3), pages 1-23, March.
    5. Haibo Lei & Qin Su, 2023. "Does the Use of Digital Finance Affect Household Farmland Transfer-Out?," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    6. Zhang, Yuanxia & Halder, Pradipta & Zhang, Xiaoning & Qu, Mei, 2020. "Analyzing the deviation between farmers' Land transfer intention and behavior in China's impoverished mountainous Area: A Logistic-ISM model approach," Land Use Policy, Elsevier, vol. 94(C).
    7. Li, Changsheng & Ma, Wanglin & Mishra, Ashok K. & Gao, Liangliang, 2020. "Access to credit and farmland rental market participation: Evidence from rural China," China Economic Review, Elsevier, vol. 63(C).
    8. Jiafeng Gu, 2024. "Neighborhood Does Matter: Farmers’ Local Social Interactions and Land Rental Behaviors in China," Land, MDPI, vol. 13(1), pages 1-17, January.
    9. Zhen Liu, 2022. "Rural Population Decline, Cultivated Land Expansion, and the Role of Land Transfers in the Farming-Pastoral Ecotone: A Case Study of Taibus, China," Land, MDPI, vol. 11(2), pages 1-17, February.
    10. Chen, Conghui & Liu, Bing & Wang, Ziyou, 2023. "Can land transfer relax credit constraints? Evidence from China," Economic Modelling, Elsevier, vol. 122(C).

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