IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i5p1080-d1149002.html
   My bibliography  Save this article

Rural Transformation Development and Its Influencing Factors in China’s Poverty-Stricken Areas: A Case Study of Yanshan-Taihang Mountains

Author

Listed:
  • Yuanzhi Guo

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China)

  • Wenyue Zhong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Rural China has undergone a rapid transformation in the past few decades, especially the poverty-stricken areas, making a historic leap from inadequate subsistence to full well-off status. Based on rural regional system theory, this study analyzes the connotation of rural transformation development (RTD), explores the spatio-temporal patterns of RTD in the Yanshan-Taihang Mountainous, and diagnoses its influencing factors using a geographically and temporally weighted regression model. The results show that RTD is a dynamic process of qualitative changes in rural regional systems based on the accumulation of quantitative changes of elements, and the key to its measurement lies in analyzing the coupling coordination degree between quantitative changes of elements. From 2000 to 2020, the rapid development of urban population share, non-agricultural industry share, construction land share and NDVI in the Yanshan-Taihang Mountains contributed to a leap in RTD status, and the proportion of counties in a coupling coordination state increased from 24.24% to 96.97%. Spatially, the RTD level in the Taihang Mountains was significantly superior to that in the Yanshan Mountains. Average years of schooling, road density, per capita GDP and urban–rural dual structure were the main influencing factors of RTD, of which the first three were positive factors and the last one presented a negative correlation. To promote RTD to a higher level, it is an urgent matter to boost the high-quality development of county economy and rural education, improve public transportation infrastructure and innovate the policy system.

Suggested Citation

  • Yuanzhi Guo & Wenyue Zhong, 2023. "Rural Transformation Development and Its Influencing Factors in China’s Poverty-Stricken Areas: A Case Study of Yanshan-Taihang Mountains," Land, MDPI, vol. 12(5), pages 1-18, May.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:1080-:d:1149002
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/5/1080/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/5/1080/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Uchendu Eugene Chigbu, 2015. "Ruralisation: a tool for rural transformation," Development in Practice, Taylor & Francis Journals, vol. 25(7), pages 1067-1073, October.
    2. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    3. Rui Bai & Ying Shi & Ying Pan, 2022. "Land-Use Classifying and Identification of the Production-Living-Ecological Space of Island Villages—A Case Study of Islands in the Western Sea Area of Guangdong Province," Land, MDPI, vol. 11(5), pages 1-20, May.
    4. Bruno Meessen & Gerald Bloom, 2007. "Economic Transition, Institutional Changes and the Health System: Some Lessons from Rural China," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 10(3), pages 209-231.
    5. repec:wbk:wbpubs:6007 is not listed on IDEAS
    6. Guo, Yuanzhi & Liu, Yansui, 2021. "Poverty alleviation through land assetization and its implications for rural revitalization in China," Land Use Policy, Elsevier, vol. 105(C).
    7. Collier, Paul, 2008. "The Bottom Billion: Why the Poorest Countries are Failing and What Can Be Done About It," OUP Catalogue, Oxford University Press, number 9780195374636.
    8. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    9. Yuxin Zhu & Dazuo Tian & Feng Yan, 2020. "Effectiveness of Entropy Weight Method in Decision-Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-5, March.
    10. Bray, Rachel & de Laat, Marianne & Godinot, Xavier & Ugarte, Alberto & Walker, Robert, 2020. "Realising poverty in all its dimensions: A six-country participatory study," World Development, Elsevier, vol. 134(C).
    11. Bruno Meessen & Gerald Bloom, 2007. "Economic Transition, Institutional Changes and the Health System: Some Lessons from Rural China," Journal of Economic Policy Reform, Taylor and Francis Journals, vol. 10(3), pages 209-231.
    12. Fang Cai & John Giles & Philip O'Keefe & Dewen Wang, 2012. "The Elderly and Old Age Support in Rural China : Challenges and Prospects," World Bank Publications - Books, The World Bank Group, number 2249.
    13. Md Abdullah Omar & Kazuo Inaba, 2020. "Does financial inclusion reduce poverty and income inequality in developing countries? A panel data analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    14. Terry Marsden & Jo Banks & Gillian Bristow, 2002. "The Social Management of Rural Nature: Understanding Agrarian-Based Rural Development," Environment and Planning A, , vol. 34(5), pages 809-825, 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. Emiel L. Eijdenberg & Kathrin Borner, 2017. "The Performance Of Subsistence Entrepreneurs In Tanzania’S Informal Economy," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-22, March.
    2. Simplice A. Asongu & Nicholas M. Odhiambo, 2023. "The role of financial inclusion in moderating the incidence of entrepreneurship on energy poverty in Ghana," Working Papers of the African Governance and Development Institute. 23/035, African Governance and Development Institute..
    3. Simplice A. Asongu & Amarachi O. Ogbonna & Mariette C. N. Mete, 2024. "Marriage as an argument for energy poverty reduction: the moderating role of financial inclusion," Working Papers of the African Governance and Development Institute. 24/031, African Governance and Development Institute..
    4. Jiandong Chen & Sishi Rong & Malin Song, 2021. "Poverty Vulnerability and Poverty Causes in Rural China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 65-91, January.
    5. Wang, Ziyang & Wang, Wenxiong & Yu, Lihong & Zhang, Dongli, 2022. "Multidimensional poverty alleviation effect of different rural land consolidation models: A case study of Hubei and Guizhou, China," Land Use Policy, Elsevier, vol. 123(C).
    6. Ying Zhang & Xinyu Xie & Xiaoping Qiu & Zheng Jing & Yongqian Yu & Yan Wang, 2023. "Study on Livelihood Resilience of Rural Residents under the Rural Revitalization Strategy in Ethnic Areas of Western Sichuan, China," Agriculture, MDPI, vol. 13(10), pages 1-19, October.
    7. Bloom, Gerald, 2011. "Building institutions for an effective health system: Lessons from China's experience with rural health reform," Social Science & Medicine, Elsevier, vol. 72(8), pages 1302-1309, April.
    8. Koomson, Isaac & Danquah, Michael, 2021. "Financial inclusion and energy poverty: Empirical evidence from Ghana," Energy Economics, Elsevier, vol. 94(C).
    9. Zhou, Yang & Zhong, Zhen & Cheng, Guoqiang, 2023. "Cultivated land loss and construction land expansion in China: Evidence from national land surveys in 1996, 2009 and 2019," Land Use Policy, Elsevier, vol. 125(C).
    10. Lin Fu & Junko Sanada, 2023. "Spatial Patterns and Influencing Factors of Rural Land Commodification at Township Scale: A Case Study in Shijiazhuang City, North China," Land, MDPI, vol. 12(6), pages 1-14, June.
    11. Anqi Zhang & Katsushi S. Imai, 2022. "Does a Universal Pension Reduce Elderly Poverty in China?," Discussion Paper Series DP2022-30, Research Institute for Economics & Business Administration, Kobe University.
    12. 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.
    13. Lewis Husain & Gerald Bloom & Yue Xiao, 2023. "Building policy capacity for managing rapid, complex change in China’s health system," Policy and Society, Darryl S. Jarvis and M. Ramesh, vol. 42(1), pages 28-48.
    14. Kimberly Singer Babiarz & Hongmei Yi & Renfu Luo, 2013. "Meeting the Health-care Needs of the Rural Elderly: The Unique Role of Village Doctors," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 21(3), pages 44-60, May.
    15. Liu, Kai & Zhang, Qian & He, Alex Jingwei, 2021. "The impacts of multiple healthcare reforms on catastrophic health spending for poor households in China," Social Science & Medicine, Elsevier, vol. 285(C).
    16. Sánchez, Angeles & D'Agostino, Antonella & Giusti, Caterina & Potsi, Antoanneta, 2024. "Measuring child vulnerability to poverty: Material and psychosocial deprivation," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    17. Rao, Nitya, 2017. "Assets, Agency and Legitimacy: Towards a Relational Understanding of Gender Equality Policy and Practice," World Development, Elsevier, vol. 95(C), pages 43-54.
    18. Kinghorn, Philip, 2019. "Using deliberative methods to establish a sufficient state of capability well-being for use in decision-making in the contexts of public health and social care," Social Science & Medicine, Elsevier, vol. 240(C).
    19. Xuming He & Heng Xi & Xianbo Li, 2024. "Multi-Dimensional Decomposition, Measurement, and Governance Mechanism of Relative Poverty in Chinese Households under the Goal of Common Prosperity: Empirical Analysis Based on CFPS2020 Data," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    20. Francesco Devicienti & Valentina Gualtieri & Mariacristina Rossi, 2014. "The Persistence Of Income Poverty And Lifestyle Deprivation: Evidence From Italy," Bulletin of Economic Research, Wiley Blackwell, vol. 66(3), pages 246-278, July.

    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:5:p:1080-:d:1149002. 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.