IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v11y2021i4p21582440211061562.html
   My bibliography  Save this article

Regional Factors Influencing Non-Take-Up for Social Support in Korea Using a Spatial Regression Model

Author

Listed:
  • Gyubeom Park
  • Kichan Yoon
  • Munjae Lee

Abstract

The purpose of this study is to analyze the influential factors of non-take-up citizens, who do not receive social benefits, to increase their discovery rate. A spatial regression model was used to analyze the variables affecting the discovery rates. As a result of the study, there was a difference in the percentage of welfare blind spots by region. In addition, when the proportion of the elderly population, the number of unemployment benefit recipients, etc. increased, that of welfare blind spots also increased; the lower the population density was, the higher the rate of increase in welfare blind spots became. Accordingly, in order to resolve the welfare blind spots at the local level, it is necessary to reinforce policy support for the elderly population and reduce the unemployment rate. Particularly, the policy will have to be prepared to resolve the welfare blind spots in rural areas with low population density.

Suggested Citation

  • Gyubeom Park & Kichan Yoon & Munjae Lee, 2021. "Regional Factors Influencing Non-Take-Up for Social Support in Korea Using a Spatial Regression Model," SAGE Open, , vol. 11(4), pages 21582440211, December.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:4:p:21582440211061562
    DOI: 10.1177/21582440211061562
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440211061562
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440211061562?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
    ---><---

    References listed on IDEAS

    as
    1. Barreira, Ana, 2011. "Spatial Strategic Interaction on Public Expenditures of The Northern Portuguese Local Governments," Spatial and Organizational Dynamics Discussion Papers 2011-2, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.
    2. Olivier Bargain, 2017. "Welfare analysis and redistributive policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(4), pages 393-419, December.
    3. Raymond J.G.M. Florax & Peter Nijkamp, 2003. "Misspecification in Linear Spatial Regression Models," Tinbergen Institute Discussion Papers 03-081/3, Tinbergen Institute.
    4. Holmberg, Sören & Rothstein, Bo, 2011. "Dying of corruption," Health Economics, Policy and Law, Cambridge University Press, vol. 6(4), pages 529-547, October.
    5. Ming Teng & Farouk S. Nathoo & Timothy D. Johnson, 2019. "Bayesian analysis of functional magnetic resonance imaging data with spatially varying auto‐regressive orders," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(3), pages 521-541, April.
    6. Arrighi, Yves & Davin, Bérengère & Trannoy, Alain & Ventelou, Bruno, 2015. "The non-take up of long-term care benefit in France: A pecuniary motive?," Health Policy, Elsevier, vol. 119(10), pages 1338-1348.
    7. Pablo Acosta & Enlinson de Mattos & Ana Fava, 2006. "Monte Carlo properties of spatial dependence LM tests," Applied Economics Letters, Taylor & Francis Journals, vol. 13(14), pages 905-910.
    8. Michelle Harnisch, 2019. "Non-Take-Up of Means-Tested Social Benefits in Germany," Discussion Papers of DIW Berlin 1793, DIW Berlin, German Institute for Economic Research.
    9. Case, Anne C. & Rosen, Harvey S. & Hines, James Jr., 1993. "Budget spillovers and fiscal policy interdependence : Evidence from the states," Journal of Public Economics, Elsevier, vol. 52(3), pages 285-307, October.
    10. Jan K. Brueckner, 2000. "Fiscal Decentralization in Developing Countries: The Effects of Local Corruption and Tax Evasion," Annals of Economics and Finance, Society for AEF, vol. 1(1), pages 1-18, May.
    11. Martinetti, Davide & Geniaux, Ghislain, 2017. "Approximate likelihood estimation of spatial probit models," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 30-45.
    12. Zuzana Siebertova & Norbert Svarda & Jana Valachyova, 2016. "Improving the Validity of Microsimulation Results: Lessons from Slovakia," International Journal of Microsimulation, International Microsimulation Association, vol. 9(2), pages 77-105.
    13. Hupkau, Claudia & Maniquet, François, 2018. "Identity, non-take-up and welfare conditionality," Journal of Economic Behavior & Organization, Elsevier, vol. 147(C), pages 13-27.
    14. Kerstin Bruckmeier & Jürgen Wiemers, 2018. "Benefit Take-Up and Labor Supply Incentives of Interdependent Means-Tested Benefit Programs for Low-Income Households," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(4), pages 583-604, December.
    15. Giovanni Gallo, 2021. "Regional Support for the National Government: Joint Effects of Minimum Income Schemes in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 149-185, March.
    16. Saavedra, Luz Amparo, 2000. "A Model of Welfare Competition with Evidence from AFDC," Journal of Urban Economics, Elsevier, vol. 47(2), pages 248-279, March.
    17. Monica Violeta Achim & Viorela Ligia Văidean & Sorin Nicolae Borlea, 2020. "Corruption and health outcomes within an economic and cultural framework," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 195-207, March.
    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. Carrión-Flores, Carmen E. & Flores-Lagunes, Alfonso & Guci, Ledia, 2018. "An estimator for discrete-choice models with spatial lag dependence using large samples, with an application to land-use conversions," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 77-93.
    2. Lars P. Feld, 2006. "Regulatory Competition and Federalism in Switzerland: Diffusion by Horizontal and Vertical Interaction," CREMA Working Paper Series 2006-22, Center for Research in Economics, Management and the Arts (CREMA).
    3. Boarnet, Marlon G. & Glazer, Amihai, 2002. "Federal grants and yardstick competition," Journal of Urban Economics, Elsevier, vol. 52(1), pages 53-64, July.
    4. Maria Alessandra Antonelli & Giorgia Marini, 2023. "Good health with good institutions. An empirical analysis for italian regions," Public Finance Research Papers 61, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.
    5. Baicker, Katherine, 2005. "The spillover effects of state spending," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 529-544, February.
    6. Martial Foucault & Thierry Madies & Sonia Paty, 2008. "Public spending interactions and local politics. Empirical evidence from French municipalities," Public Choice, Springer, vol. 137(1), pages 57-80, October.
    7. Galletta, Sergio, 2017. "Law enforcement, municipal budgets and spillover effects: Evidence from a quasi-experiment in Italy," Journal of Urban Economics, Elsevier, vol. 101(C), pages 90-105.
    8. Emilie Caldeira & Martial Foucault & Gregoire Rota-Graziosi, 2015. "Decentralization in Africa and the nature of local governments’ competition: evidence from Benin," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 22(6), pages 1048-1076, December.
    9. Oumarou Zallé & Pousseni Bakouan, 2024. "Spillover effects of fiscal decentralization on access to basic social services in Burkina Faso," Growth and Change, Wiley Blackwell, vol. 55(1), March.
    10. Jeffrey Clemens & Stan Veuger, 2024. "Intergovernmental Grants and Policy Competition: Concepts, Institutions, and Evidence," NBER Chapters, in: Policy Responses to Tax Competition, National Bureau of Economic Research, Inc.
    11. Fredriksson, Per G. & Millimet, Daniel L., 2002. "Strategic Interaction and the Determination of Environmental Policy across U.S. States," Journal of Urban Economics, Elsevier, vol. 51(1), pages 101-122, January.
    12. Caldeira, Emilie, 2012. "Yardstick competition in a federation: Theory and evidence from China," China Economic Review, Elsevier, vol. 23(4), pages 878-897.
    13. Saavedra, Luz A., 2003. "Tests for spatial lag dependence based on method of moments estimation," Regional Science and Urban Economics, Elsevier, vol. 33(1), pages 27-58, January.
    14. Cem Ertur & Thiaw Kalidou, 2005. "Growth and Spatial Dependence - The Mankiw, Romer and Weil model revisited," ERSA conference papers ersa05p660, European Regional Science Association.
    15. Sole-Olle, Albert, 2006. "Expenditure spillovers and fiscal interactions: Empirical evidence from local governments in Spain," Journal of Urban Economics, Elsevier, vol. 59(1), pages 32-53, January.
    16. Esteller-More, Alex & Sole-Olle, Albert, 2001. "Vertical income tax externalities and fiscal interdependence: evidence from the US," Regional Science and Urban Economics, Elsevier, vol. 31(2-3), pages 247-272, April.
    17. Michael P. Devereux & Simon Loretz, 2013. "What Do We Know About Corporate Tax Competition?," National Tax Journal, National Tax Association;National Tax Journal, vol. 66(3), pages 745-774, September.
    18. Vincent, Rose Camille & Osei Kwadwo, Victor, 2022. "Spatial interdependence and spillovers of fiscal grants in Benin: Static and dynamic diffusions," World Development, Elsevier, vol. 158(C).
    19. Rincke, Johannes, 2010. "A commuting-based refinement of the contiguity matrix for spatial models, and an application to local police expenditures," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 324-330, September.
    20. Matthieu Leprince & Thierry Madiès & Sonia Paty, 2007. "Business Tax Interactions Among Local Governments: An Empirical Analysis Of The French Case," Journal of Regional Science, Wiley Blackwell, vol. 47(3), pages 603-621, August.

    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:sae:sagope:v:11:y:2021:i:4:p:21582440211061562. 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: SAGE Publications (email available below). General contact details of provider: .

    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.