IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7329-d839288.html
   My bibliography  Save this article

Does Non-Food Cultivation of Cropland Increase Farmers’ Income?

Author

Listed:
  • Wencai Yang

    (College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China)

  • Caiyao Xu

    (College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China)

  • Fanbin Kong

    (College of Economics and Management, Zhejiang A&F University, Hangzhou 311300, China
    Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China)

Abstract

The production of cash crops is often regarded as an effective way to increase farmers’ income. This study evaluates the impact of non-food cultivation of cropland on farmers’ income by using the least-squares (OLS) model in Zhejiang Province, eastern China. Farmers are further divided into different groups according to their income levels to analyze the different impacts of non-food cultivation on their household income. The result shows that non-food cultivation has a significant negative effect on farmers’ income, with a more pronounced effect on farmers with a relatively low income. Accordingly, the increase in the proportion of cash crops that are grown does not increase the income of farmers in Zhejiang; instead, this harms their income. Therefore, farmers in Zhejiang should not rely on the cultivation of cash crops for their prosperity but must focus on participating in non-farm employment to increase their household income.

Suggested Citation

  • Wencai Yang & Caiyao Xu & Fanbin Kong, 2022. "Does Non-Food Cultivation of Cropland Increase Farmers’ Income?," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7329-:d:839288
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7329/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/12/7329/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winford H. Masanjala, 2006. "Cash crop liberalization and poverty alleviation in Africa: evidence from Malawi," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 231-240, September.
    2. Porter, Gina & Phillips-Howard[malt], Kevin, 1997. "Comparing contracts: An evaluation of contract farming schemes in Africa," World Development, Elsevier, vol. 25(2), pages 227-238, February.
    3. Mahamadou Roufahi Tankari, 2017. "Cash crops reduce the welfare of farm households in Senegal," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(5), pages 1105-1115, October.
    4. Maurice Osewe & Aijun Liu & Tim Njagi, 2020. "Farmer-Led Irrigation and Its Impacts on Smallholder Farmers’ Crop Income: Evidence from Southern Tanzania," IJERPH, MDPI, vol. 17(5), pages 1-13, February.
    5. Nguyen Viet, Cuong, 2008. "Measuring the Impact of Cash Crops on Household Expenditure and Poverty in Rural Viet Nam," MPRA Paper 24921, University Library of Munich, Germany.
    6. Natalia Radchenko & Paul Corral & Paul Winters, 2018. "Heterogeneity of commercialization gains in the rural economy," Agricultural Economics, International Association of Agricultural Economists, vol. 49(1), pages 131-143, January.
    7. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    8. Nguyen Viet Cuong, 2009. "Measuring the impact of cash crops on household expenditure and poverty in rural Viet Nam," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 16(2), pages 87-112, December.
    9. Ashrafun Nahar & Jeff Luckstead & Eric J. Wailes & Mohammad Jahangir Alam, 2018. "An assessment of the potential impact of climate change on rice farmers and markets in Bangladesh," Climatic Change, Springer, vol. 150(3), pages 289-304, October.
    10. Kennedy, Eileen & Peters, Pauline, 1992. "Household food security and child nutrition: the interaction of income and gender of household head," World Development, Elsevier, vol. 20(8), pages 1077-1085, August.
    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. Yuxi Luo & Tianren Xiong & Defeng Meng & Anrong Gao & Yan Chen, 2023. "Does the Integrated Development of Agriculture and Tourism Promote Farmers’ Income Growth? Evidence from Southwestern China," Agriculture, MDPI, vol. 13(9), pages 1-25, September.

    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. Lingjuan Cheng & Wei Zou & Kaifeng Duan, 2021. "The Influence of New Agricultural Business Entities on the Economic Welfare of Farmer’s Families," Agriculture, MDPI, vol. 11(9), pages 1-15, September.
    2. Bairagi, Subir & Bhandari, Humnath & Kumar Das, Subrata & Mohanty, Samarendu, 2021. "Flood-tolerant rice improves climate resilience, profitability, and household consumption in Bangladesh," Food Policy, Elsevier, vol. 105(C).
    3. M. J. Hossain & A. K. M. Abdullah Al-Amin, 2019. "Non-farm Income and Consumption Expenditures in Rural Bangladesh: Empirical Evidence from Multilevel Regression Modelling," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 377-396, June.
    4. Raoul Herrmann & Ephraim Nkonya & Anja Faße, 2018. "Food value chain linkages and household food security in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 827-839, August.
    5. Tadesse Kuma & Mekdim Dereje & Kalle Hirvonen & Bart Minten, 2019. "Cash Crops and Food Security: Evidence from Ethiopian Smallholder Coffee Producers," Journal of Development Studies, Taylor & Francis Journals, vol. 55(6), pages 1267-1284, June.
    6. Mahamadou Roufahi Tankari, 2017. "Cash crops reduce the welfare of farm households in Senegal," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(5), pages 1105-1115, October.
    7. Jiliang Ma & Jiajia Qu & Nawab Khan & Huijie Zhang, 2022. "Towards Sustainable Agricultural Development for Edible Beans in China: Evidence from 848 Households," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    8. Bazzana, Davide & Gilioli, Gianni & Simane, Belay & Zaitchik, Benjamin, 2021. "Analyzing constraints in the water-energy-food nexus: The case of eucalyptus plantation in Ethiopia," Ecological Economics, Elsevier, vol. 180(C).
    9. Tambo, Justice A. & Wünscher, Tobias, 2016. "Beyond adoption: welfare effects of farmer innovation behavior in Ghana," Discussion Papers 235297, University of Bonn, Center for Development Research (ZEF).
    10. Seydou Zakari & Germaine Ibro & Bokar Moussa & Tahirou Abdoulaye, 2022. "Adaptation Strategies to Climate Change and Impacts on Household Income and Food Security: Evidence from Sahelian Region of Niger," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    11. Mochebelele, Motsamai T. & Winter-Nelson, Alex, 2000. "Migrant Labor and Farm Technical Efficiency in Lesotho," World Development, Elsevier, vol. 28(1), pages 143-153, January.
    12. Tanimonure, Victoria Adeyemi, 2021. "Impact of Climate Adaptation Strategies on the Net Farm Revenue of Underutilized Indigenous Vegetables’ (UIVs) Production in Southwest Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315903, International Association of Agricultural Economists.
    13. O'Hara, Corey & Clement, Floriane, 2018. "Power as agency: A critical reflection on the measurement of women’s empowerment in the development sector," World Development, Elsevier, vol. 106(C), pages 111-123.
    14. Sékou Amadou Traoré & Christoph Reiber & Bekele Megersa & Anne Valle Zárate, 2018. "Contribution of cattle of different breeds to household food security in southern Mali," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(3), pages 549-560, June.
    15. Issahaku, Gazali & Abdulai, Awudu, "undated". "Adaptation to Climate Change and its influence on Household Welfare in Ghana," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259938, Agricultural and Applied Economics Association.
    16. My Nguyen & Kien Le, 2023. "The impacts of women's land ownership: Evidence from Vietnam," Review of Development Economics, Wiley Blackwell, vol. 27(1), pages 158-177, February.
    17. Xiaoyong Zhang & Lusine H. Aramyan, 2009. "A conceptual framework for supply chain governance," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 1(2), pages 136-154, January.
    18. Marta Ruiz-Arranz & Benjamin Davis & Marco Stampini & Paul Winters & Sudhanshu Handa, 2002. "More Calories or More Diversity? An econometric evaluation of the impact of the PROGRESA and PROCAMPO transfer programmes on food security in rural Mexico," Working Papers 02-09, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    19. Maren Radeny & Elizaphan J. O. Rao & Maurice Juma Ogada & John W. Recha & Dawit Solomon, 2022. "Impacts of climate-smart crop varieties and livestock breeds on the food security of smallholder farmers in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1511-1535, December.
    20. Danielle L. Nunnery & Jigna M. Dharod, 2017. "Potential determinants of food security among refugees in the U.S.: an examination of pre- and post- resettlement factors," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(1), pages 163-179, February.

    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:jijerp:v:19:y:2022:i:12:p:7329-:d:839288. 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.