IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i5p2084-d329990.html
   My bibliography  Save this article

RETRACTED: Improvement in the Poverty Status of Ecological Migrants under the Urban Resettlement Model: An Empirical Study in China

Author

Listed:
  • Shijie Guo

    (School of Law, Fuzhou University, Fuzhou 350116, China
    Faculty of Law, University of Oxford, Oxford OX1 3UL, UK)

  • Guichang Liu

    (School of Law, Fuzhou University, Fuzhou 350116, China)

  • Qi Zhang

    (Department of Architecture and Built Environment, University of Nottingham, Nottingham NG7 2RD, UK)

  • Fang Zhao

    (Center for China Public Sector Economy Research, Jilin University, Changchun 130012, China
    Economics School, Jilin University, Changchun 130012, China)

  • Guomin Ding

    (School of Law, Fuzhou University, Fuzhou 350116, China)

Abstract

As a major measure of ecological environment protection, ecological migration addresses the conflict between humans and the ecological environment. The Urban Resettlement Model is a prevalent resettlement model used by the Chinese government to try to alleviate poverty brought about by the ecological environment by promoting migration. This study initially explored the mechanism of influencing the livelihoods of relocated households in the Urban Resettlement Model by analyzing questionnaire data obtained from farmers in the resettlement area of Nangqian County. The coarsened exact matching (CEM) model was used to control the influence of confounding factors in the observation data. Next, a disordered multinomial logistic regression model was used to analyze the impact and effect of the Urban Resettlement Model on the livelihoods of the relocated non-agricultural farmers and poor relocated households. The results show that the Urban Resettlement Model has a significant promotion effect on the non-agricultural livelihoods of the relocated farmers. For all relocated households, the presence of medical facilities exhibited a significant promotion effect on the non-agricultural livelihoods of the relocated farmers. For poor relocated households, convenient transportation facilities facilitated the pursuit of non-agricultural livelihoods such as migrant work. However, industrial support, employment support, or training had no statistically significant effects on all relocated households or poor relocated households. The number of family laborers and communication costs were significant promoting influences for all relocated households and poor relocated households to engage in part-time and non-agricultural livelihoods. There was a certain impact of relocation time on livelihood choice for the relocated farmers, but there was no significant impact for poor relocated households. Based on these findings, the following suggestions are proposed. Supporting industries should be provided and industrial transformation and upgrading efforts should be strengthened during the application of the Urban Resettlement Model to create job opportunities for relocated people. Additionally, enhanced construction of basic infrastructure, including transportation, medical care, and communication systems is required. The results of this work should facilitate the effective improvement of administration of the ecological resettlement environmental protection policy system.

Suggested Citation

  • Shijie Guo & Guichang Liu & Qi Zhang & Fang Zhao & Guomin Ding, 2020. "RETRACTED: Improvement in the Poverty Status of Ecological Migrants under the Urban Resettlement Model: An Empirical Study in China," Sustainability, MDPI, vol. 12(5), pages 1, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:2084-:d:329990
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/5/2084/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/5/2084/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Avato, Johanna & Koettl, Johannes & Sabates-Wheeler, Rachel, 2010. "Social Security Regimes, Global Estimates, and Good Practices: The Status of Social Protection for International Migrants," World Development, Elsevier, vol. 38(4), pages 455-466, April.
    2. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    3. Shijie Guo & Guomin Ding & Qian Zhao & Meini Jiang, 2017. "Bonus Point System for Refuse Classification and Sustainable Development: A Study in China," Sustainability, MDPI, vol. 9(10), pages 1-12, September.
    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. Xu, Hongzhang & Pittock, Jamie & Daniell, Katherine, 2022. "‘Sustainability of what, for whom? A critical analysis of Chinese development induced displacement and resettlement (DIDR) programs," Land Use Policy, Elsevier, vol. 115(C).
    2. Shijie Guo & Guichang Liu & Qi Zhang & Fang Zhao & Guomin Ding, 2020. "RETRACTED: Guo et al. Improvement in the Poverty Status of Ecological Migrants under the Urban Resettlement Model: An Empirical Study in China. Sustainability 2020, 12 , 2084," Sustainability, MDPI, vol. 12(24), pages 1, December.
    3. Héctor Morales-Muñoz & Srijna Jha & Michelle Bonatti & Henryk Alff & Sabine Kurtenbach & Stefan Sieber, 2020. "Exploring Connections—Environmental Change, Food Security and Violence as Drivers of Migration—A Critical Review of Research," Sustainability, MDPI, vol. 12(14), pages 1-27, July.

    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. Liu, Yan & Chen, Xi & Yan, Zhijun, 2019. "Depression in the House: The Effects of Household Air Pollution from Solid Fuel Use in China," IZA Discussion Papers 12654, Institute of Labor Economics (IZA).
    2. Noemi Kreif & Richard Grieve & Rosalba Radice & Zia Sadique & Roland Ramsahai & Jasjeet S. Sekhon, 2012. "Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses That Use Observational Data," Medical Decision Making, , vol. 32(6), pages 750-763, November.
    3. Do, Manh Hung & Nguyen, Trung Thanh & Grote, Ulrike, 2023. "Land consolidation, rice production, and agricultural transformation: Evidence from household panel data for Vietnam," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 157-173.
    4. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    5. Bono, Pierre-Henri & David, Quentin & Desbordes, Rodolphe & Py, Loriane, 2022. "Metro infrastructure and metropolitan attractiveness," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    6. Zichen Deng & Maarten Lindeboom, 2021. "Early-life Famine Exposure, Hunger Recall and Later-life Health," Tinbergen Institute Discussion Papers 21-054/V, Tinbergen Institute.
    7. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    8. Baron, Opher & Callen, Jeffrey L. & Segal, Dan, 2023. "Does the bullwhip matter economically? A cross-sectional firm-level analysis," International Journal of Production Economics, Elsevier, vol. 259(C).
    9. Noémi Kreif & Richard Grieve & M. Zia Sadique, 2013. "Statistical Methods For Cost‐Effectiveness Analyses That Use Observational Data: A Critical Appraisal Tool And Review Of Current Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 486-500, April.
    10. Jonathan Colmer & Ralf Martin & Mirabelle Muûls & Ulrich J. Wagner, 2020. "Does pricing carbon mitigate climate change? Firm-level evidence from the European Union emissions trading scheme," CEP Discussion Papers dp1728, Centre for Economic Performance, LSE.
    11. Jian Jiu Chen & Sai Yin Ho & Wing Man Au & Man Ping Wang & Tai Hing Lam, 2015. "Family Smoking, Exposure to Secondhand Smoke at Home and Family Unhappiness in Children," IJERPH, MDPI, vol. 12(11), pages 1-14, November.
    12. Kube, Roland & von Graevenitz, Kathrine & Löschel, Andreas & Massier, Philipp, 2019. "Do voluntary environmental programs reduce emissions? EMAS in the German manufacturing sector," Energy Economics, Elsevier, vol. 84(S1).
    13. Blackman, Allen, 2013. "Evaluating forest conservation policies in developing countries using remote sensing data: An introduction and practical guide," Forest Policy and Economics, Elsevier, vol. 34(C), pages 1-16.
    14. repec:zbw:rwirep:0170 is not listed on IDEAS
    15. Natalie Carvalho & Naveen Thacker & Subodh S Gupta & Joshua A Salomon, 2014. "More Evidence on the Impact of India's Conditional Cash Transfer Program, Janani Suraksha Yojana: Quasi-Experimental Evaluation of the Effects on Childhood Immunization and Other Reproductive and Chil," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
    16. K. Poehlmann & R. Helm & O. Mauroner & J. Auburger, 2021. "Corporate spin-offs’ success factors: management lessons from a comparative empirical analysis with research-based spin-offs," Review of Managerial Science, Springer, vol. 15(6), pages 1767-1796, August.
    17. Renata Baborska & Emilio Hernandez & Emiliano Magrini & Cristian Morales-Opazo, 2020. "The impact of financial inclusion on rural food security experience: A perspective from low-and middle-income countries," Review of Development Finance Journal, Chartered Institute of Development Finance, vol. 10(2), pages 1-18.
    18. Hamilton, Timothy L. & Wichman, Casey J., 2018. "Bicycle infrastructure and traffic congestion: Evidence from DC's Capital Bikeshare," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 72-93.
    19. Elaine M. Wolf & Douglas A. Wolf, 2008. "Mixed Results in a Transitional Planning Program for Alternative School Students," Evaluation Review, , vol. 32(2), pages 187-215, April.
    20. Chervier, Colas & Le Velly, Gwenolé & Ezzine-de-Blas, Driss, 2019. "When the Implementation of Payments for Biodiversity Conservation Leads to Motivation Crowding-out: A Case Study From the Cardamoms Forests, Cambodia," Ecological Economics, Elsevier, vol. 156(C), pages 499-510.
    21. Li, Qian & Liu, Shangqun, 2023. "Does alternative data reduce stock price crash risk? Evidence from third-party online sales disclosure in China," International Review of Financial Analysis, Elsevier, vol. 88(C).

    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:12:y:2020:i:5:p:2084-:d:329990. 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.