IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2022i1p98-d1017947.html
   My bibliography  Save this article

Does Farmland Tenancy Improve Household Asset Allocation? Evidence from Rural China

Author

Listed:
  • Lijuan Xu

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

  • Abbas Ali Chandio

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

  • Jingyi Wang

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

  • Yuansheng Jiang

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

Abstract

In an agricultural society, the farmland is a major form of national wealth and an increase in farmland holding is a sign of wealth accumulation; whereas in an industrial society, the question of whether a rise in farmland holding also increases the wealth accumulation of farmers with the possible choice of being migrant workers is worth theoretical discussion and empirically testing. This article explores the issue of whether farmland tenancy affects household asset allocation in a rapid industrialization period. Using a sample of China’s rural households with land contract rights, we employed propensity score matching (PSM) with a difference-in-difference (DID) approach to explore and estimate the impact of farmland tenancy on tenant household asset allocation and test the mechanism of farmland tenancy affecting household asset allocation. Four conclusions are drawn from our study. (1) There is a ‘herd effect’ in the household decision-making in participation in the farmland rental market and the tenancy of farmland. (2) Household asset choice behavior is adjusted in response to the farmland tenancy for the tenants, increasing the investment in durable goods assets. (3) There is heterogeneity in the effects on asset allocation between tenant households with different intensities in farmland tenancy, presenting relatively more substantial impacts on the change of asset allocation for tenant households with high intensity in the farmland rental market. The tenancy of farmland with high intensity has not only boosted tenants’ wealth accumulation but has also increased the investment in agricultural assets and risky asset holdings (both incidence and the share of risky financial assets), while the tenancy of farmland with low intensity has not. Tenancy of farmland does not necessarily bring about an increase in the household’s agricultural machinery investment, and only when the area of farmland tenancy reaches a certain scale threshold will households increase their investment in agricultural machinery. (4) The tenancy of farmland has had impact on household asset allocation through a substitution effect instead of an income effect. In general, even though agriculture is not so profitable compared to industry in China, the wealth effect of farmland holding remains significant. This study contributes to the research on household asset allocation from the perspective of farm operation model transition caused by farmland market participation, which helps enhance income and accumulate wealth of rural households in China as well as other developing countries.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:98-:d:1017947
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/98/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/1/98/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Yahui & Li, Xiubin & Li, Wei & Tan, Minghong, 2018. "Land titling program and farmland rental market participation in China: Evidence from pilot provinces," Land Use Policy, Elsevier, vol. 74(C), pages 281-290.
    2. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    3. Jin, Songqing & Deininger, Klaus, 2009. "Land rental markets in the process of rural structural transformation: Productivity and equity impacts from China," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 629-646, December.
    4. Fan, Elliott & Zhao, Ruoyun, 2009. "Health status and portfolio choice: Causality or heterogeneity?," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1079-1088, June.
    5. Vranken, Liesbet & Swinnen, Johan, 2006. "Land rental markets in transition: Theory and evidence from Hungary," World Development, Elsevier, vol. 34(3), pages 481-500, March.
    6. Cardak, Buly A. & Wilkins, Roger, 2009. "The determinants of household risky asset holdings: Australian evidence on background risk and other factors," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 850-860, May.
    7. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    8. Liangliang Gao & Dingqiang Sun & Cuiping Ma, 2019. "The Impact of Farmland Transfers on Agricultural Investment in China: A Perspective of Transaction Cost Economics," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 27(1), pages 93-109, January.
    9. Yogo, Motohiro, 2016. "Portfolio choice in retirement: Health risk and the demand for annuities, housing, and risky assets," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 17-34.
    10. 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.
    11. Chang, Hongqin & Dong, Xiao-yuan & MacPhail, Fiona, 2011. "Labor Migration and Time Use Patterns of the Left-behind Children and Elderly in Rural China," World Development, Elsevier, vol. 39(12), pages 2199-2210.
    12. Daymard, Arnaud, 2022. "Land rental market reforms: Can they increase outmigration from agriculture? Evidence from a quantitative model," World Development, Elsevier, vol. 154(C).
    13. Miles S. Kimball, 1991. "Precautionary Motives for Holding Assets," NBER Working Papers 3586, National Bureau of Economic Research, Inc.
    14. Ampudia, Miguel & Ehrmann, Michael, 2017. "Macroeconomic experiences and risk taking of euro area households," European Economic Review, Elsevier, vol. 91(C), pages 146-156.
    15. Rosen, H.S.Harvey S. & Wu, Stephen, 2004. "Portfolio choice and health status," Journal of Financial Economics, Elsevier, vol. 72(3), pages 457-484, June.
    16. Liangliang Gao & Jikun Huang & Scott Rozelle, 2012. "Rental markets for cultivated land and agricultural investments in China," Agricultural Economics, International Association of Agricultural Economists, vol. 43(4), pages 391-403, July.
    17. Berkowitz, Michael K. & Qiu, Jiaping, 2006. "A further look at household portfolio choice and health status," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1201-1217, April.
    18. Feng, Shuyi & Heerink, Nico & Ruben, Ruerd & Qu, Futian, 2010. "Land rental market, off-farm employment and agricultural production in Southeast China: A plot-level case study," China Economic Review, Elsevier, vol. 21(4), pages 598-606, December.
    19. Guiso, Luigi & Jappelli, Tullio & Terlizzese, Daniele, 1996. "Income Risk, Borrowing Constraints, and Portfolio Choice," American Economic Review, American Economic Association, vol. 86(1), pages 158-172, March.
    20. King, Mervyn A. & Leape, Jonathan I., 1998. "Wealth and portfolio composition: Theory and evidence," Journal of Public Economics, Elsevier, vol. 69(2), pages 155-193, June.
    21. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    22. You, Jing, 2014. "Risk, under-investment in agricultural assets and dynamic asset poverty in rural China," China Economic Review, Elsevier, vol. 29(C), pages 27-45.
    23. Gao, Jia & Song, Ge & Sun, Xueqing, 2020. "Does labor migration affect rural land transfer? Evidence from China," Land Use Policy, Elsevier, vol. 99(C).
    24. Zhang, Dongli & Wang, Wenxiong & Zhou, Wei & Zhang, Xiaoling & Zuo, Jian, 2020. "The effect on poverty alleviation and income increase of rural land consolidation in different models: A China study," Land Use Policy, Elsevier, vol. 99(C).
    25. Bodie, Zvi & Merton, Robert C. & Samuelson, William F., 1992. "Labor supply flexibility and portfolio choice in a life cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 427-449.
    26. S. Rao Aiyagari, 1994. "Uninsured Idiosyncratic Risk and Aggregate Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 659-684.
    27. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2009. "Does Local Financial Development Matter?," Springer Books, in: Damiano Bruno Silipo (ed.), The Banks and the Italian Economy, chapter 0, pages 31-66, Springer.
    28. Bielecki, Tomasz R. & Pliska, Stanley R. & Sherris, Michael, 2000. "Risk sensitive asset allocation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(8), pages 1145-1177, July.
    29. Michael R. Carter & Yang Yao, 2002. "Local versus Global Separability in Agricultural Household Models: The Factor Price Equalization Effect of Land Transfer Rights," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 702-715.
    30. 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).
    31. Matthias Doepke & Martin Schneider, 2006. "Inflation and the Redistribution of Nominal Wealth," Journal of Political Economy, University of Chicago Press, vol. 114(6), pages 1069-1097, December.
    32. 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).
    33. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    34. 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.
    35. Zhao, Yaohui, 2002. "Causes and Consequences of Return Migration: Recent Evidence from China," Journal of Comparative Economics, Elsevier, vol. 30(2), pages 376-394, June.
    36. Ji, Yueqing & Yu, Xiaohua & Zhong, Funing, 2012. "Machinery investment decision and off-farm employment in rural China," China Economic Review, Elsevier, vol. 23(1), pages 71-80.
    37. Betermier, Sebastien & Jansson, Thomas & Parlour, Christine & Walden, Johan, 2012. "Hedging labor income risk," Journal of Financial Economics, Elsevier, vol. 105(3), pages 622-639.
    38. Kung, James Kai-sing & Shimokawa, Satoru, 2012. "Land Reallocations, Passive Land Rental, and the Development of Rental Markets in Rural China," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125099, International Association of Agricultural Economists.
    39. Arthi, Vellore & Fenske, James, 2016. "Intra-household labor allocation in colonial Nigeria," Explorations in Economic History, Elsevier, vol. 60(C), pages 69-92.
    40. Wang, Neng, 2009. "Optimal consumption and asset allocation with unknown income growth," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 524-534, May.
    41. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    42. Yang Yao, 2000. "The Development of the Land Lease Market in Rural China," Land Economics, University of Wisconsin Press, vol. 76(2), pages 252-266.
    43. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    44. John Heaton & Deborah Lucas, 2000. "Portfolio Choice and Asset Prices: The Importance of Entrepreneurial Risk," Journal of Finance, American Finance Association, vol. 55(3), pages 1163-1198, June.
    45. Kai Huang & Xin Deng & Yi Liu & Zhuolin Yong & Dingde Xu, 2020. "Does off-Farm Migration of Female Laborers Inhibit Land Transfer? Evidence from Sichuan Province, China," Land, MDPI, vol. 9(1), pages 1-14, January.
    46. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).
    47. Park, Jin Seok & Suh, Donghyun, 2019. "Uncertainty and household portfolio choice : Evidence from South Korea," Economics Letters, Elsevier, vol. 180(C), pages 21-24.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wenfeng Zhou & Jia He & Shaoquan Liu & Dingde Xu, 2023. "How Does Trust Influence Farmers’ Low-Carbon Agricultural Technology Adoption? Evidence from Rural Southwest, China," Land, MDPI, vol. 12(2), pages 1-14, February.

    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. Sarah Brown & Dan Gray & Mark N. Harris & Christopher Spencer, 2016. "Portfolio Allocation, Income Uncertainty and Households' Flight from Risk," Working Papers 2016012, The University of Sheffield, Department of Economics.
    2. Brown, Sarah & Gray, Daniel & Harris, Mark N. & Spencer, Christopher, 2021. "Household portfolio allocation, uncertainty, and risk," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 96-117.
    3. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    4. Julien Hugonnier & Florian Pelgrin, 2013. "Health and (Other) Asset Holdings," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(2), pages 663-710.
    5. 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.
    6. Cardak, Buly A. & Wilkins, Roger, 2009. "The determinants of household risky asset holdings: Australian evidence on background risk and other factors," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 850-860, May.
    7. Kaustia, Markku & Conlin, Andrew & Luotonen, Niilo, 2023. "What drives stock market participation? The role of institutional, traditional, and behavioral factors," Journal of Banking & Finance, Elsevier, vol. 148(C).
    8. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    9. Gan, Hongwu & Lu, Shengfeng & Lu, Weijie & Niu, Geng & Zhou, Yang, 2023. "Beauty and stock market participation," Journal of Banking & Finance, Elsevier, vol. 155(C).
    10. He, Zekai & Shi, Xiuzhen & Lu, Xiaomeng & Li, Feng, 2019. "Home equity and household portfolio choice: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 149-164.
    11. Raslan Alzuabi & Sarah Brown & Mark N. Harris & Karl Taylor, 2024. "Modelling the composition of household portfolios: A latent class approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 243-275, February.
    12. Dana Goldman & Nicole Maestas, 2013. "Medical Expenditure Risk And Household Portfolio Choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 527-550, June.
    13. Luik, Marc-André & Berlemann, Michael, 2014. "Institutional Reform and Depositors’ Portfolio Choice: Evidence from Censored Quantile Regressions," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100291, Verein für Socialpolitik / German Economic Association.
    14. Korniotis, George & Bonaparte, Yosef & Kumar, Alok, 2020. "Income Risk and Stock Market Entry/Exit Decisions," CEPR Discussion Papers 15370, C.E.P.R. Discussion Papers.
    15. Trond Døskeland & Jens Soerlie Kvaerner, 2022. "Cancer and Portfolio Choice: Evidence from Norwegian Register Data [The age of reason: financial decisions over the life cycle and implications for regulation]," Review of Finance, European Finance Association, vol. 26(2), pages 407-442.
    16. Becker, Gideon, 2014. "The portfolio structure of German households: A multinomial fractional response approach with unobserved heterogeneity," University of Tübingen Working Papers in Business and Economics 74, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    17. Lu, Xiaomeng & Guo, Jiaojiao & Gan, Li, 2020. "International comparison of household asset allocation: Micro-evidence from cross-country comparisons," Emerging Markets Review, Elsevier, vol. 43(C).
    18. Julien Hugonnier & Florian Pelgrin & Pascal St‐Amour, 2020. "Closing down the shop: Optimal health and wealth dynamics near the end of life," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 138-153, February.
    19. Nicholas Apergis & Christos Bouras, 2023. "Household choices on investing in financial risky assets: Do national institutional factors have their own merit?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 405-420, January.
    20. Duraj, Kamila & Grunow, Daniela & Chaliasos, Michael & Laudenbach, Christine & Siegel, Stephan, 2024. "Rethinking the stock market participation puzzle: A qualitative approach," IMFS Working Paper Series 210, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).

    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:2022:i:1:p:98-:d:1017947. 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.