IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v108y2021ics0264837721003963.html
   My bibliography  Save this article

Understanding the contradiction between rural poverty and rich cultivated land resources: A case study of Heilongjiang Province in Northeast China

Author

Listed:
  • Li, Dongmei
  • Yang, Yuanyuan
  • Du, Guoming
  • Huang, Shanlin

Abstract

Although the global population living in extreme poverty steadily decrease, poverty is still a common problem faced by mankind. Understanding the spatial characteristics of poverty and its interaction with land use strategies is an essential prerequisite for formulating poverty reduction strategies and achieving rural revitalization. According to the spatial poverty theory, insufficient geographical capital is a well acknowledged precondition for the spatial agglomeration of rural poverty, however there are few researches on the regional contradictory phenomenon that the richer the arable land resources are, the poorer the rural areas are. Based on the spatial data and social-economic statistical data, the spatial analysis combined with Geographical detector were adopted in this study to depict the spatial consistency between rural poverty and arable land enrichment, then analyze the formation mechanism of the rural poverty in Heilongjiang Province. Results showed that the spatial distribution of rural poverty in Heilongjiang Province was clustered in regions with rich cultivated land resources, and jointly affected by quantitative factors, qualitative factors and locational conditions of cultivated land. However, there were significant spatial differences in the action mode and force magnitude of various cultivated land factors on the poverty space. We found that the quantitative abundance of cultivated land resources couldn’t always alleviate rural poverty in the plain agricultural areas, and the disadvantages of quality and location of cultivated land might increase the incidence of poverty of agriculture-dependent families. When formulating regional targeted poverty alleviation policies, the influence of cultivated land quality and location conditions on agricultural family welfare should be taken seriously, as same as the quantity of cultivated land. The findings of this research will provide scientific basis and reference for regional sustainable poverty reduction and rural revitalization.

Suggested Citation

  • Li, Dongmei & Yang, Yuanyuan & Du, Guoming & Huang, Shanlin, 2021. "Understanding the contradiction between rural poverty and rich cultivated land resources: A case study of Heilongjiang Province in Northeast China," Land Use Policy, Elsevier, vol. 108(C).
    • Handle: RePEc:eee:lauspo:v:108:y:2021:i:c:s0264837721003963
    DOI: 10.1016/j.landusepol.2021.105673
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837721003963
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2021.105673?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Massimiliano Calì & Carlo Menon, 2013. "Does Urbanization Affect Rural Poverty? Evidence from Indian Districts," The World Bank Economic Review, World Bank, vol. 27(2), pages 171-201.
    2. Heger, Martin Philipp & Zens, Gregor & Bangalore, Mook, 2020. "Land and poverty: the role of soil fertility and vegetation quality in poverty reduction," Environment and Development Economics, Cambridge University Press, vol. 25(4), pages 315-333, August.
    3. Foster, James E, 1998. "Absolute versus Relative Poverty," American Economic Review, American Economic Association, vol. 88(2), pages 335-341, May.
    4. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
    5. Finan, Frederico & Sadoulet, Elisabeth & de Janvry, Alain, 2005. "Measuring the poverty reduction potential of land in rural Mexico," Journal of Development Economics, Elsevier, vol. 77(1), pages 27-51, June.
    6. Hanjra, Munir A. & Ferede, Tadele & Gutta, Debel Gemechu, 2009. "Pathways to breaking the poverty trap in Ethiopia: Investments in agricultural water, education, and markets," Agricultural Water Management, Elsevier, vol. 96(11), pages 1596-1604, November.
    7. Radeny, Maren & van den Berg, Marrit & Schipper, Rob, 2012. "Rural Poverty Dynamics in Kenya: Structural Declines and Stochastic Escapes," World Development, Elsevier, vol. 40(8), pages 1577-1593.
    8. Jalan, Jyotsna & Ravallion, Martin, 1997. "Spatial poverty traps?," Policy Research Working Paper Series 1862, The World Bank.
    9. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    10. Ward, Patrick S., 2016. "Transient Poverty, Poverty Dynamics, and Vulnerability to Poverty: An Empirical Analysis Using a Balanced Panel from Rural China," World Development, Elsevier, vol. 78(C), pages 541-553.
    11. Fred Mawunyo Dzanku, 2018. "Rational But Poor? An Explanation for Rural Economic Livelihood Strategy," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 365-381, June.
    12. Miyamoto, Motoe & Mohd Parid, Mamat & Noor Aini, Zakaria & Michinaka, Tetsuya, 2014. "Proximate and underlying causes of forest cover change in Peninsular Malaysia," Forest Policy and Economics, Elsevier, vol. 44(C), pages 18-25.
    13. Meishan Jiang & Krishna P. Paudel & Yunsheng Mi, 2018. "Factors affecting agricultural land transfer-in in China: a semiparametric analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 25(21), pages 1547-1551, December.
    14. Youmanli OUOBA, 2018. "Industrial mining land use and poverty in regions of Burkina Faso," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 511-520, July.
    15. Lei Zhou & Feng Zhen & Yiqing Wang & Liyang Xiong, 2019. "Modeling the Spatial Formation Mechanism of Poverty-Stricken Counties in China by Using Geographical Detector," Sustainability, MDPI, vol. 11(17), pages 1-20, August.
    16. James A. Giesecke & Nhi Hoang Tran & Erwin L. Corong & Steven Jaffee, 2013. "Rice Land Designation Policy in Vietnam and the Implications of Policy Reform for Food Security and Economic Welfare," Journal of Development Studies, Taylor & Francis Journals, vol. 49(9), pages 1202-1218, September.
    17. Khonje, Makaiko & Mkandawire, Petros & Manda, Julius & Alene, Arega, 2015. "Analysis of adoption and impacts of improved cassava varieties," 2015 Conference, August 9-14, 2015, Milan, Italy 211842, International Association of Agricultural Economists.
    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. Zhaoxue Gai & Ying Xu & Guoming Du, 2023. "Spatio-Temporal Differentiation and Driving Factors of Carbon Storage in Cultivated Land-Use Transition," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    2. Zheng Cai & Shengsheng Li & Di Cheng, 2023. "Has Digital Village Construction Improved Rural Family Resilience in China? Evidence Based on China Household Finance Survey," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    3. Jichang Cui & Yanbo Qu & Yan Li & Lingyun Zhan & Guancheng Guo & Xiaozhen Dong, 2022. "Reconstruction of Rural Settlement Patterns in China: The Role of Land Consolidation," Land, MDPI, vol. 11(10), pages 1-20, October.
    4. Dongsheng Zhang & Ming Yang & Ziyou Wang, 2022. "Resources or Capital?—The Quality Improvement Mechanism of Precision Poverty Alleviation by Land Elements," Land, MDPI, vol. 11(10), pages 1-24, October.
    5. Xuan Luo & Zhaomin Tong & Yifan Xie & Rui An & Zhaochen Yang & Yanfang Liu, 2022. "Land Use Change under Population Migration and Its Implications for Human–Land Relationship," Land, MDPI, vol. 11(6), pages 1-22, June.
    6. Rong Ran & Lei Hua & Tingrou Li & Yejing Chen & Junfu Xiao, 2023. "Why Have China’s Poverty Eradication Policy Resulted in the Decline of Arable Land in Poverty-Stricken Areas?," Land, MDPI, vol. 12(10), pages 1-18, September.
    7. Xiaonan Zhao & Feng Lan, 2023. "The Impact of Livelihood Capital Endowment on Household Poverty Alleviation: The Mediating Effect of Land Transfer," Land, MDPI, vol. 12(7), pages 1-17, July.
    8. Lu Zhang & Zhongfa Zhou & Quan Chen & Lan Wu & Qing Feng & Dan Luo & Tangyin Wu, 2022. "Accounting for Value Changes in Cultivated Land Resources within the Karst Mountain Area of Southwest China, 2001–2020," Land, MDPI, vol. 11(6), pages 1-23, May.
    9. Sun, Xueqing & Xiang, Pengcheng & Cong, Kexin, 2023. "Research on early warning and control measures for arable land resource security," Land Use Policy, Elsevier, vol. 128(C).

    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. Keming Huang & Fangzhou Xia, 2023. "Classification of Rural Relative Poverty Groups and Measurement of the Influence of Land Elements: A Questionnaire-Based Analysis of 23 Poor Counties in China," Land, MDPI, vol. 12(4), pages 1-23, April.
    2. Mwangi, Joseph Kanyua & Crewett, Wibke, 2019. "The impact of irrigation on small-scale African indigenous vegetable growers’ market access in peri-urban Kenya," Agricultural Water Management, Elsevier, vol. 212(C), pages 295-305.
    3. Larson,Donald F. & Muraoka,Rie & Otsuka,Keijiro, 2016. "On the central role of small farms in African rural development strategies," Policy Research Working Paper Series 7710, The World Bank.
    4. Zhang, Yongchao & Torre, André & Ehrlich, Marianne, 2023. "The impact of Chinese government promoted homestead transfer on labor migration and household's well-being: A study in three rural areas," Journal of Asian Economics, Elsevier, vol. 86(C).
    5. Fissha Asmare & Jūratė Jaraitė & Andrius Kažukauskas, 2022. "Climate change adaptation and productive efficiency of subsistence farming: A bias‐corrected panel data stochastic frontier approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 739-760, September.
    6. Yao Dinard Kouadio & Amètépé Nathanaël Beauclair Anani & Bonoua Faye & Yadong Fan, 2023. "Determinants Influencing Cocoa Farmers’ Satisfaction with Input Credit in the Nawa Region of Côte d’Ivoire," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    7. Julius Manda & Cornelis Gardebroek & Makaiko Khonje & Arega Alene & Munyaradzi Mutenje & Menale Kassie, 2016. "Determinants of child nutritional status in the eastern province of Zambia: the role of improved maize varieties," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 239-253, February.
    8. Sinyolo, Sikhulumile, 2020. "Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties," Technology in Society, Elsevier, vol. 60(C).
    9. Botero, Hernan & Barnes, Andrew P. & Perez, Lisset & Rios, David & Ramirez-Villegas, Julian, 2021. "The determinants of common bean variety selection and diversification in Colombia," Ecological Economics, Elsevier, vol. 190(C).
    10. Manda, Julius & Khonje, Makaiko G. & Alene, Arega D. & Tufa, Adane H & Abdoulaye, Tahirou & Mutenje, Munyaradzi & Setimela, Peter & Manyong, Victor, 2020. "Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    11. 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).
    12. Yigezu, Yigezu A. & Abbas, Enas & Swelam, Atef & Sabry, Sami R.S. & Moustafa, Moustafa A. & Halila, Habib, 2021. "Socioeconomic, biophysical, and environmental impacts of raised beds in irrigated wheat: A case study from Egypt," Agricultural Water Management, Elsevier, vol. 249(C).
    13. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
    14. Indranil Dutta & Ajit Mishra, 2023. "Measuring vulnerability to poverty: a unified framework," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 48, pages 523-534, Edward Elgar Publishing.
    15. Zhongkun Zhu & Wanglin Ma & Chenxin Leng & Peng Nie, 2021. "The Relationship Between Happiness and Consumption Expenditure: Evidence from Rural China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1587-1611, August.
    16. Tezera W. Meskel & Mengistu Ketema & Jema Haji & Lemma Zemedu, 2021. "Welfare Impact of Moringa Market Participation in Southern Ethiopia," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 9(3), pages 1-98, December.
    17. Fred Mawunyo Dzanku, 2020. "Poverty Reduction And Economic Livelihood Mobility In Rural Sub‐Saharan Africa," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 636-683, July.
    18. Backson Mwangi & Ibrahim Macharia & Eric Bett, 2021. "Ex-post Impact Evaluation of Improved Sorghum Varieties on Poverty Reduction in Kenya: A Counterfactual Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 447-467, April.
    19. Adu-Gyamfi Poku & Regina Birner & Saurabh Gupta, 2018. "Why do maize farmers in Ghana have a limited choice of improved seed varieties? An assessment of the governance challenges in seed supply," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(1), pages 27-46, February.
    20. Varma, Poornima, 2017. "Adoption of System of Rice Intensification and its Impact on Rice Yields and Household Income: An Analysis for India," IIMA Working Papers WP2017-02-03, Indian Institute of Management Ahmedabad, Research and Publication Department.

    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:eee:lauspo:v:108:y:2021:i:c:s0264837721003963. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.