IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i6p1203-d1167723.html
   My bibliography  Save this article

Can Land Circulation Improve the Health of Middle-Aged and Older Farmers in China?

Author

Listed:
  • Keyan Li

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Can Liu

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Junlong Ma

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

  • Martinson Ankrah Twumasi

    (College of Economics, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

Compared with the urban aging population, the rural aging population in China is larger, and is subject to a lower per capita income, lower social security coverage, and insufficient security capacity. Therefore, ensuring the health of middle-aged and older farmers is an inevitable requirement for maintaining the stability of rural areas and society. This study uses data from the China Health and Retirement Longitudinal Survey (CHARLS) 2018, an ordered probit model and instrumental variable approach to empirically analyze the effect of land circulation out on the physical health of middle-aged and older farmers over 45. The results indicate that land circulation out positively and significantly affects farmers’ health. Again, farmer’s non-agricultural work and household income play a significant role in this positive relationship between land circulation out and farmers’ health. Thus, the promotion of non-agricultural work for farmers and household income enhancement could alleviate household budget constraints while increasing health investment. The findings provide policies advocating for rural health development from land circulation perspectives.

Suggested Citation

  • Keyan Li & Can Liu & Junlong Ma & Martinson Ankrah Twumasi, 2023. "Can Land Circulation Improve the Health of Middle-Aged and Older Farmers in China?," Land, MDPI, vol. 12(6), pages 1-16, June.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1203-:d:1167723
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/6/1203/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/6/1203/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Ziming & Rommel, Jens & Feng, Shuyi & Hanisch, Markus, 2017. "Can land transfer through land cooperatives foster off-farm employment in China?," China Economic Review, Elsevier, vol. 45(C), pages 35-44.
    2. Lili Chen & Hongsheng Chen & Chaohui Zou & Ye Liu, 2021. "The Impact of Farmland Transfer on Rural Households’ Income Structure in the Context of Household Differentiation: A Case Study of Heilongjiang Province, China," Land, MDPI, vol. 10(4), pages 1-20, April.
    3. Hartley, D., 2004. "Rural health disparities, population health, and rural culture," American Journal of Public Health, American Public Health Association, vol. 94(10), pages 1675-1678.
    4. Yahui Wang & Liangjie Xin & Xiubin Li & Jianzhong Yan, 2016. "Impact of Land Use Rights Transfer on Household Labor Productivity: A Study Applying Propensity Score Matching in Chongqing, China," Sustainability, MDPI, vol. 9(1), pages 1-18, December.
    5. Cropper, M L, 1981. "Measuring the Benefits from Reduced Morbidity," American Economic Review, American Economic Association, vol. 71(2), pages 235-240, May.
    6. Qian, Long & Lu, Hua & Gao, Qiang & Lu, Hualiang, 2022. "Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China," Land Use Policy, Elsevier, vol. 115(C).
    7. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    8. Kaili Peng & Chen Yang & Yao Chen, 2020. "Land transfer in rural China: incentives, influencing factors and income effects," Applied Economics, Taylor & Francis Journals, vol. 52(50), pages 5477-5490, October.
    9. Li, Chengyou & Jiao, Yong & Sun, Tao & Liu, Anran, 2021. "Alleviating multi-dimensional poverty through land transfer: Evidence from poverty-stricken villages in China," China Economic Review, Elsevier, vol. 69(C).
    10. Liu, Yu & Yan, Binjian & Wang, Yue & Zhou, Yingheng, 2019. "Will land transfer always increase technical efficiency in China?—A land cost perspective," Land Use Policy, Elsevier, vol. 82(C), pages 414-421.
    11. Yahui Wang & Qingyuan Yang & Liangjie Xin & Jingyu Zhang, 2019. "Does the New Rural Pension System Promote Farmland Transfer in the Context of Aging in Rural China: Evidence from the CHARLS," IJERPH, MDPI, vol. 16(19), pages 1-19, September.
    12. Taifeng Yang & Xuetao Huang & Yue Wang & Houjian Li & Lili Guo, 2022. "Dynamic Linkages among Climate Change, Mechanization and Agricultural Carbon Emissions in Rural China," IJERPH, MDPI, vol. 19(21), pages 1-24, November.
    13. Wei Wang & Xin Luo & Chongmei Zhang & Jiahao Song & Dingde Xu, 2021. "Can Land Transfer Alleviate the Poverty of the Elderly? Evidence from Rural China," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    14. Jia Gao & Dirk Strijker & Ge Song & Shiping Li, 2018. "Drivers Behind Farmers’ Willingness to Terminate Arable Land Use Contracts," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(1), pages 73-86, February.
    15. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    16. Songqing Jin & T. S. Jayne, 2013. "Land Rental Markets in Kenya: Implications for Efficiency, Equity, Household Income, and Poverty," Land Economics, University of Wisconsin Press, vol. 89(2), pages 246-271.
    17. Gao, Jia & Song, Ge & Sun, Xueqing, 2020. "Does labor migration affect rural land transfer? Evidence from China," Land Use Policy, Elsevier, vol. 99(C).
    18. Mingyong Hong & Lei Lou, 2022. "Research on the Impact of Farmland Transfer on Rural Household Consumption: Evidence from Yunnan Province, China," Land, MDPI, vol. 11(12), pages 1-21, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Weiguo Fan & Wei Yao & Kehan Chen, 2023. "Integrating Energy Systems Language and Emergy Approach to Simulate and Analyze the Energy Flow Process of Land Transfer," Land, MDPI, vol. 12(5), pages 1-24, May.
    2. Meseret Abatechanie & Baozhong Cai & Fang Shi & Yuanji Huang, 2022. "The Environmental and Socio-Economic Effect of Farmland Management Right Transfer in China: A Systematic Review," Land, MDPI, vol. 11(8), pages 1-21, August.
    3. Lijuan Xu & Abbas Ali Chandio & Jingyi Wang & Yuansheng Jiang, 2022. "Does Farmland Tenancy Improve Household Asset Allocation? Evidence from Rural China," Land, MDPI, vol. 12(1), pages 1-22, December.
    4. Yijie Wang & Guoyong Liu & Bangbang Zhang & Zhiyou Liu & Xiaohu Liu, 2022. "Coordinated Development of Farmland Transfer and Labor Migration in China: Spatio-Temporal Evolution and Driving Factors," Land, MDPI, vol. 11(12), pages 1-19, December.
    5. Meng Yang & Ting Sun & Tao Liu, 2023. "The Heterogeneous Effects of Multilevel Centers on Farmland Transfer: Evidence from Tai’an Prefecture, China," Land, MDPI, vol. 12(10), pages 1-19, September.
    6. Xueqi Wang & Zhongguo Xu & Guan Li & Yuefei Zhuo & Wei Zou, 2023. "Farmland Transfer and Income Distribution Effect of Heterogeneous Farmers with Livelihood Capital: Evidence from CFPS," Land, MDPI, vol. 12(7), pages 1-20, July.
    7. Wenjing Han & Zhengfeng Zhang & Xiaoling Zhang & Li He, 2021. "Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China," Land, MDPI, vol. 10(9), pages 1-22, August.
    8. Lili Chen & Hongsheng Chen & Chaohui Zou & Ye Liu, 2021. "The Impact of Farmland Transfer on Rural Households’ Income Structure in the Context of Household Differentiation: A Case Study of Heilongjiang Province, China," Land, MDPI, vol. 10(4), pages 1-20, April.
    9. Juan Wu & Wenjing Yu & Xiaobing Liu & Yali Wen, 2022. "Analysis of Influencing Factors and Income Effect of Heterogeneous Agricultural Households’ Forestland Transfer," Land, MDPI, vol. 11(9), pages 1-17, September.
    10. Ping Xue & Xinru Han & Yongchun Wang & Xiudong Wang, 2022. "Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China," Agriculture, MDPI, vol. 12(7), pages 1-15, June.
    11. Xing Ji & Jingwen Xu & Hongxiao Zhang, 2022. "How Does China’s New Rural Pension Scheme Affect Agricultural Production?," Agriculture, MDPI, vol. 12(8), pages 1-23, July.
    12. Gong, Maogang & Zhong, Yanan & Zhang, Yun & Elahi, Ehsan & Yang, Yuanxi, 2023. "Have the new round of agricultural land system reform improved farmers' agricultural inputs in China?," Land Use Policy, Elsevier, vol. 132(C).
    13. Gang Li & Xufeng Cui & Lan Pan & Yufei Wang, 2023. "Land Transfer and Rural Household Consumption Diversity: Promoting or Inhibiting?," Land, MDPI, vol. 12(1), pages 1-16, January.
    14. Jia Gao & Rongrong Zhao & Xiao Lyu, 2022. "Is There Herd Effect in Farmers’ Land Transfer Behavior?," Land, MDPI, vol. 11(12), pages 1-15, December.
    15. Yuanjie Zhang & Shichao Yuan & Jian Wang & Jian Cheng & Daolin Zhu, 2022. "How Do the Different Types of Land Costs Affect Agricultural Crop-Planting Selections in China?," Land, MDPI, vol. 11(11), pages 1-18, October.
    16. Guoqun Ma & Xiaopeng Dai & Yuxi Luo, 2023. "The Effect of Farmland Transfer on Agricultural Green Total Factor Productivity: Evidence from Rural China," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
    17. Zheng Wang & Mingwei Yang & Zhiyong Zhang & Yingjuan Li & Chuanhao Wen, 2022. "The Impact of Land Transfer on Vulnerability as Expected Poverty in the Perspective of Farm Household Heterogeneity: An Empirical Study Based on 4608 Farm Households in China," Land, MDPI, vol. 11(11), pages 1-16, November.
    18. 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.
    19. Gao, Jia & Song, Ge & Sun, Xueqing, 2020. "Does labor migration affect rural land transfer? Evidence from China," Land Use Policy, Elsevier, vol. 99(C).
    20. Zhixing Ma & Ruiping Ran & Dingde Xu, 2023. "The Effect of Peasants Differentiation on Peasants’ Willingness and Behavior Transformation of Land Transfer: Evidence from Sichuan Province, China," Land, MDPI, vol. 12(2), pages 1-15, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1203-:d:1167723. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.