IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6714-d828495.html
   My bibliography  Save this article

The Rural Livability Evaluation and Its Governance Path Based on the Left-Behind Perspective: Evidence from the Oasis Area of the Hexi Corridor in China

Author

Listed:
  • Libang Ma

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China
    Northwest Institute of Urban-Rural Development and Collaborative Governance, Lanzhou 730070, China)

  • Yuqing Zhang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Zhihao Shi

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Haojian Dou

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

Abstract

The evaluation of rural livability for different groups of left-behind people and proposing classified governance paths are of great practical significance to solve the problem of sustainable development of left-behind villages. Taking Jinchang, China as an example, this paper aims to construct a rural livability evaluation index system based on identifying the types of left-behind villages, which combines the “individuality + commonality” of different left-behind subjects, analyzes the livability level of left-behind villages and proposes a classified governance path to help solve the problem of sustainable development of left-behind villages. The results show the following: (1) The types of left-behind villages are mainly left-behind children and left-behind elderly types, accounting for 68.75% of the total number of left-behind villages. (2) There are large differences in the livability of individual characteristics of the villages. The average livability for children is the largest, reaching 0.6608. The average livability for women is the smallest, being only 0.1418. The livability values for the elderly and children are mainly in the medium-value areas, while the livability for women is mainly in the low-value areas. (3) The overall livability level of the villages is low, mainly falling in the low-value areas. The evaluation units with values higher than the average accounted for 40.625% of the total. The level of meeting the demands of the left-behind population in villages is low. The overall levels of economic development, public services, infrastructure, and configuration need to be optimized and improved, and the living and production conditions need to be further improved. (4) According to “left-behind + livable”, we classified the villages into five types: optimizing and upgrading villages, improving short-board villages, balanced developing villages, upgrading potential villages, and comprehensive upgrading villages. In the future, it is necessary to carry out classified governance from various aspects, such as improving governance, making up for shortcomings, coordinating and balancing, and comprehensively improving quality to achieve the ultimate goal of sustainable rural development.

Suggested Citation

  • Libang Ma & Yuqing Zhang & Zhihao Shi & Haojian Dou, 2022. "The Rural Livability Evaluation and Its Governance Path Based on the Left-Behind Perspective: Evidence from the Oasis Area of the Hexi Corridor in China," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6714-:d:828495
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6714/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/11/6714/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Bertrand B. Schmitt & M.S. Henry, 2000. "Size and growth of urban centers in French labor market areas : consequences for rural population and employment [[Taille et croissance des centres urbains dans les bassins d'emplois en France : co," Post-Print hal-02687942, HAL.
    3. Libang Ma & Xijuan Cui & Yao Yao & Shichun Liu, 2021. "Gradient Difference of Structure of Rural Construction Land in Loess Hilly Region: A Case Study of Yuzhong County, Gansu Province, China," Land, MDPI, vol. 10(4), pages 1-17, March.
    4. Li, Qiang & Liu, Gordon & Zang, Wenbin, 2015. "The health of left-behind children in rural China," China Economic Review, Elsevier, vol. 36(C), pages 367-376.
    5. Watson, Philip & Deller, Steven, 2017. "Economic diversity, unemployment and the Great Recession," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 1-11.
    6. Kanbur, Ravi & Zhang, Xiaobo, 1999. "Which Regional Inequality? The Evolution of Rural-Urban and Inland-Coastal Inequality in China from 1983 to 1995," Journal of Comparative Economics, Elsevier, vol. 27(4), pages 686-701, December.
    7. Schmitt, Bertrand & Henry, Mark S., 2000. "Size and growth of urban centers in French labor market areas: consequences for rural population and employment," Regional Science and Urban Economics, Elsevier, vol. 30(1), pages 1-21, January.
    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. Mari-Isabella Stan, 2022. "The impact of the pandemic crisis on employment in the context of urbanization," Technium Social Sciences Journal, Technium Science, vol. 33(1), pages 492-505, July.
    2. Shu-hen Chiang, 2018. "Assessing the Merits of the Urban-Led Policy in China: Spread or Backwash Effect?," Sustainability, MDPI, vol. 10(2), pages 1-14, February.
    3. Carole Doucet, 2004. "Espaces ruraux, espaces périphériques ? Les perspectives de développement économique associées au vignoble de Bordeaux," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 70, pages 49-76.
    4. Alexandra Tsvetkova & Mark Partridge & Michael Betz, 2017. "Entrepreneurial and Employment Responses to Economic Conditions across the Rural-Urban Continuum," The ANNALS of the American Academy of Political and Social Science, , vol. 672(1), pages 83-102, July.
    5. Shu‐Hen Chiang, 2012. "The Source of Metropolitan Growth: The Role of Commuting," Growth and Change, Wiley Blackwell, vol. 43(1), pages 143-166, March.
    6. Ai Yue & Yu Bai & Yaojiang Shi & Renfu Luo & Scott Rozelle & Alexis Medina & Sean Sylvia, 2020. "Parental Migration and Early Childhood Development in Rural China," Demography, Springer;Population Association of America (PAA), vol. 57(2), pages 403-422, April.
    7. Tsvetkova, Alexandra & Partridge, Mark & Betz, Micael, 2016. "Entrepreneurial and Wage and Salary Employment Response to Economic Conditions Across the Rural-Urban Continuum," MPRA Paper 75781, University Library of Munich, Germany.
    8. Carole Doucet, 2004. "Espaces ruraux, espaces périphériques ? Les perspectives de développement économique associées au vignoble de Bordeaux," Post-Print hal-01201062, HAL.
    9. Bertrand Schmitt & Florence Goffette-Nagot, 2000. "Définir l'espace rural ? De la difficulté d'une définition conceptuelle à la nécessité d'une délimitation statistique," Économie rurale, Programme National Persée, vol. 257(1), pages 42-55.
    10. Rachel Guillain & Julie Le Gallo & Celine Boiteux-Orain, 2006. "Changes in Spatial and Sectoral Patterns of Employment in Ile-de-France, 1978-97," Urban Studies, Urban Studies Journal Limited, vol. 43(11), pages 2075-2098, October.
    11. Luisa Alamá-Sabater & Miguel A. Márquez & Emili Tortosa-Ausina, 2020. "Spatio-sectoral heterogeneity and population-employment dynamics: Some implications for territorial development," Working Papers 2020/24, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Yue Zhang & Xiaodong Zheng, 2022. "Internal migration and child health: An investigation of health disparities between migrant children and left-behind children in China," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-15, March.
    13. Tang, Zequn & Wang, Ning, 2021. "School disruption of children in China: The influence of parents’ rural–urban migration," Children and Youth Services Review, Elsevier, vol. 129(C).
    14. Mark S. Henry & Bertrand Schmitt & Virginie Piguet, 2001. "Spatial Econometric Models for Simultaneous Systems: Application to Rural Community Growth in France," International Regional Science Review, , vol. 24(2), pages 171-193, April.
    15. Fei Jin & Lung‐fei Lee & Kai Yang, 2024. "Best linear and quadratic moments for spatial econometric models with an application to spatial interdependence patterns of employment growth in US counties," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 640-658, June.
    16. Robert Sörensson, 2012. "Population and employment location in Swedish municipalities 1994–2004," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 743-762, June.
    17. Marlon G. Boarnet & Saksith Chalermpong & Elizabeth Geho, 2005. "Specification issues in models of population and employment growth," Papers in Regional Science, Wiley Blackwell, vol. 84(1), pages 21-46, March.
    18. Funderburg, Richard G. & Nixon, Hilary & Boarnet, Marlon G. & Ferguson, Gavin, 2010. "New highways and land use change: Results from a quasi-experimental research design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 76-98, February.
    19. Wang, Haining & Cheng, Zhiming & Zhe Wang, Ben & Chen, Yuanyuan, 2021. "Childhood left-behind experience and labour market outcomes in China," Journal of Business Research, Elsevier, vol. 132(C), pages 196-207.
    20. Wouter Vermeulen & Jos van Ommeren, 2004. "Interaction of Regional Population and Employment," Tinbergen Institute Discussion Papers 04-083/3, Tinbergen Institute.

    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:jsusta:v:14:y:2022:i:11:p:6714-:d:828495. 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.