IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/125162.html
   My bibliography  Save this paper

Why Rural Residents Do Not Migrate: The Hidden Welfare Costs of Rural-Urban Migration

Author

Listed:
  • Long, Xianling
  • Huang, Kaixing
  • Hou, Hao

Abstract

A persistent puzzle in developing economies is why rural households remain in low-productivity agricultural sectors despite the substantial income gaps with non-agricultural opportunities. While existing studies attribute this gap to market frictions, institutional barriers, and differences in human capital, this paper shifts the focus to household-level welfare trade-offs, specifically, the non-pecuniary welfare losses borne by family members left behind when working-age individuals migrate. We develop a theoretical framework to show how such hidden costs affect labor reallocation and how they can be quantified empirically. Leveraging China's Grain for Green (GFG) Program--a nationwide conservation policy that induced farmland retirement in exchange for subsidies, we show that the policy led to significant increases in migration and non-agricultural labor, especially among women and younger individuals. Using revealed preference logic, we estimate that hidden migration costs amount to 10.5--12.6% of total household income for policy-induced migrants. Drawing on rich survey data, we trace these costs to two key sources: disruptions to children's education and reduced caregiving capacity for elderly household members. These findings highlight the need for policies that ease the burden of migrating with dependents, such as removing restrictions on education and healthcare access in destination areas.

Suggested Citation

  • Long, Xianling & Huang, Kaixing & Hou, Hao, 2025. "Why Rural Residents Do Not Migrate: The Hidden Welfare Costs of Rural-Urban Migration," MPRA Paper 125162, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:125162
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/125162/1/MPRA_paper_125162.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tasso Adamopoulos & Diego Restuccia, 2014. "The Size Distribution of Farms and International Productivity Differences," American Economic Review, American Economic Association, vol. 104(6), pages 1667-1697, June.
    2. Aparna Howlader, 2024. "Environmental Recovery after the Dust Bowl: Implications of Land Policies in the Great Plains," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 11(2), pages 403-449.
    3. Thomas K. Bauer & Sebastian Braun & Michael Kvasnicka, 2013. "The Economic Integration of Forced Migrants: Evidence for Post‐War Germany," Economic Journal, Royal Economic Society, vol. 123, pages 998-1024, September.
    4. Tasso Adamopoulos & Loren Brandt & Jessica Leight & Diego Restuccia, 2022. "Misallocation, Selection, and Productivity: A Quantitative Analysis With Panel Data From China," Econometrica, Econometric Society, vol. 90(3), pages 1261-1282, May.
    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. Chaoran Chen, 2017. "Untitled Land, Occupational Choice, and Agricultural Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 91-121, October.
    2. Julián Arteaga & Nicolás de Roux & Margarita Gáfaro & Ana María Ibáñez & Heitor S. Pellegrina, 2025. "Farm Size Distribution, Weather Shocks, and Agricultural Productivity," Borradores de Economia 1305, Banco de la Republica de Colombia.
    3. Gottlieb, Charles & Grobovšek, Jan, 2019. "Communal land and agricultural productivity," Journal of Development Economics, Elsevier, vol. 138(C), pages 135-152.
    4. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    5. Chaoran Chen & Diego Restuccia & Raül Santaeulàlia-Llopis, 2023. "Land Misallocation and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 441-465, April.
    6. Gáfaro, Margarita & Ibáñez, Ana María & Sánchez-Ordoñez, Daniel & Ortiz, María Camila, 2023. "Farm Size and Income Distribution of Latin American Agriculture New Perspectives on an Old Issue," IDB Publications (Working Papers) 13078, Inter-American Development Bank.
    7. Marijn Bolhuis & Swapnika Rachapalli & Diego Restuccia, 2021. "Misallocation in Indian Agriculture," Working Papers tecipa-709, University of Toronto, Department of Economics.
    8. Douglas Gollin & Christopher Udry, 2021. "Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture," Journal of Political Economy, University of Chicago Press, vol. 129(1), pages 1-80.
    9. Diego Restuccia & Richard Rogerson, 2017. "The Causes and Costs of Misallocation," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 151-174, Summer.
    10. beg, Sabrin, 2019. "Computerization and Development: Formalizing Property Rights and its Impact on Land and Labor Allocation," MPRA Paper 96110, University Library of Munich, Germany.
    11. Chen, Chaoran, 2020. "Technology adoption, capital deepening, and international productivity differences," Journal of Development Economics, Elsevier, vol. 143(C).
    12. Fernando Aragon & Diego Restuccia & Juan Pablo Rud, 2021. "Heterogeneity, Measurement Error, and Misallocation in African Agriculture: A Comment," Working Papers tecipa-697, University of Toronto, Department of Economics.
    13. Tasso Adam & Loren Brandt & Chaoran Chen & Diego Restuccia & Xiaoyun Wei, 2024. "Land Security and Mobility Frictions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1941-1987.
    14. Tasso Adamopoulos & Diego Restuccia, 2020. "Land Reform and Productivity: A Quantitative Analysis with Micro Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(3), pages 1-39, July.
    15. Chaoran Chen & Diego Restuccia & Raul Santaeulalia-Llopis, 2022. "The Effects of Land Markets on Resource Allocation and Agricultural Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 41-54, July.
    16. Lili Wang & Xue Qiao & Jidong Chen, 2023. "Labor Mobility Barriers and Agricultural Productivity in China: Analysis Based on a General-Equilibrium Roy Model," Annals of Economics and Finance, Society for AEF, vol. 24(2), pages 377-399, November.
    17. Stephen Ayerst & Loren Brandt & Diego Restuccia, 2023. "Distortions, Producer Dynamics, and Aggregate Productivity: A General Equilibrium Analysis," Working Papers tecipa-748, University of Toronto, Department of Economics.
    18. Tang, Rongsheng & Tang, Yang, 2022. "Market formation in China from 1978," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    19. Ayerst, Stephen & Brandt, Loren & Restuccia, Diego, 2020. "Market constraints, misallocation, and productivity in Vietnam agriculture," Food Policy, Elsevier, vol. 94(C).
    20. Stephen Ayerst, 2016. "Idiosyncratic Distortions and Technology Adoption," Working Papers tecipa-571, University of Toronto, Department of Economics.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:125162. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.