IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p6245-d820317.html
   My bibliography  Save this article

Determinants of Differences in Health Service Utilization between Older Rural-to-Urban Migrant Workers and Older Rural Residents: Evidence from a Decomposition Approach

Author

Listed:
  • Li Li

    (School of Public Management, Northwest University, Xi’an 710127, China)

  • Jinjuan Yang

    (School of Public Health, Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China)

  • Shaoguo Zhai

    (School of Public Management, Northwest University, Xi’an 710127, China)

  • Dan Li

    (School of Public Management, Northwest University, Xi’an 710127, China)

Abstract

Background: The widening gap in health service utilization between different groups in mainland China has become an important issue that cannot be avoided. Our study explored the existence of differences and the causes of the differences in the health service utilization of older rural-to-urban migrant workers in comparison to older rural dwellers. Further, our study explored socioeconomic differences in health service utilization. Methods: The data from the China Labor-Force Dynamic Survey in 2016, the data from the Urban Statistical Yearbook in 2016, and the Statistical Bulletin were used. Our study applied the latest Andersen Model according to China’s current situation. Before we studied health service utilization, we used Coarsened Exact Matching to control the confounding factors. After matching, 2314 respondents were successfully matched (859 older rural-to-urban migrant workers and 1455 older rural dwellers). The Fairlie decomposition method was used to analyze the differences and the sources of health service utilization between older rural-to-urban migrant workers and their rural counterparts. Results: After matching, the probability two-weeks outpatient for older rural-to-urban migrant workers (5.59%) was significantly lower than older rural dwellers (7.57%). The probability of inpatient for older rural-to-urban migrant workers (5.59%) was significantly lower than older rural dwellers (9.07%). Overall, 17.98% of the total difference for two-week outpatient utilization was due to the observed influence factors. Moreover, 71.88% of total difference in inpatient utilization was due to the observed influence factors. Income quantiles (49.57%), health self-assessments (80.91%), and the sex ratio in the community (−102.29%) were significant in the differences in inpatient utilization. Conclusions: The findings provide important insights into the socioeconomic differences in health service utilization among older rural-to-urban migrant workers and older rural residents in China. These insights urge the government to take full account of the heterogeneity in designing health security system reform and public health interventions targeting vulnerable groups.

Suggested Citation

  • Li Li & Jinjuan Yang & Shaoguo Zhai & Dan Li, 2022. "Determinants of Differences in Health Service Utilization between Older Rural-to-Urban Migrant Workers and Older Rural Residents: Evidence from a Decomposition Approach," IJERPH, MDPI, vol. 19(10), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6245-:d:820317
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/6245/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/10/6245/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dan Li & Liang Zhu & Jian Zhang & Jinjuan Yang, 2021. "Decomposing Differences of Health Service Utilization among Chinese Rural Migrant Workers with New Cooperative Medical Scheme: A Comparative Study," IJERPH, MDPI, vol. 18(17), pages 1-14, September.
    2. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    3. Stark, Oded & Taylor, J Edward, 1991. "Migration Incentives, Migration Types: The Role of Relative Deprivation," Economic Journal, Royal Economic Society, vol. 101(408), pages 1163-1178, September.
    4. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    5. Dan Li & Zhongliang Zhou & Chi Shen & Jian Zhang & Wei Yang & Rashed Nawaz, 2020. "Health Disparity between the Older Rural-to-Urban Migrant Workers and Their Rural Counterparts in China," IJERPH, MDPI, vol. 17(3), pages 1-16, February.
    6. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    7. Jianyun Wang & Yaolin Pei & Renyao Zhong & Bei Wu, 2020. "Outpatient Visits among Older Adults Living Alone in China: Does Health Insurance and City of Residence Matter?," IJERPH, MDPI, vol. 17(12), pages 1-12, June.
    8. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    9. Mohammadi Bidhandi, Hadi & Patrick, Jonathan & Noghani, Pedram & Varshoei, Peyman, 2019. "Capacity planning for a network of community health services," European Journal of Operational Research, Elsevier, vol. 275(1), pages 266-279.
    10. 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.
    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. Meng Zheng & Feng Chen & Yan Pan & Di Kong & Andre M. N. Renzaho & Berhe W. Sahle & Rashidul Alam Mahumud & Li Ling & Wen Chen, 2022. "Trends and Impact Factors of Mental Health Service Utilization among Resettled Humanitarian Migrants in Australia: Findings from the BNLA Cohort Study," IJERPH, MDPI, vol. 19(16), pages 1-14, August.

    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. Dan Li & Liang Zhu & Jian Zhang & Jinjuan Yang, 2021. "Decomposing Differences of Health Service Utilization among Chinese Rural Migrant Workers with New Cooperative Medical Scheme: A Comparative Study," IJERPH, MDPI, vol. 18(17), pages 1-14, September.
    2. Ravi Bapna & Alok Gupta & Gautam Ray & Shweta Singh, 2016. "Research Note —IT Outsourcing and the Impact of Advisors on Clients and Vendors," Information Systems Research, INFORMS, vol. 27(3), pages 636-647.
    3. Yuri Ostrovsky & Garnett Picot, 2021. "Innovation in immigrant-owned firms," Small Business Economics, Springer, vol. 57(4), pages 1857-1874, December.
    4. Engberg, Erik & Halvarsson, Daniel & Tingvall, Patrik, 2017. "Direct and Indirect Effects of Private- and Government Sponsored Venture Capital," Ratio Working Papers 288, The Ratio Institute.
    5. Gidehag, Anton, 2019. "Firms’ labor cost savings and recruitment of nonwestern immigrants: The unintended effect of a payroll tax reform," HFI Working Papers 5, Institute of Retail Economics (Handelns Forskningsinstitut).
    6. Lindgren, Charlie & Li, Yujiao & Rudholm, Niklas, 2020. "Why do firms compete on price comparison websites? The impact on productivity, profits, and wages," HFI Working Papers 14, Institute of Retail Economics (Handelns Forskningsinstitut).
    7. Patrick, Carlianne & Mothorpe, Christopher, 2017. "Demand for new cities: Property value capitalization of municipal incorporation," Regional Science and Urban Economics, Elsevier, vol. 67(C), pages 78-89.
    8. Collin D. Hodges & Heather M. Stephens, 2022. "Does municipal incorporation always increase property values?," Growth and Change, Wiley Blackwell, vol. 53(1), pages 200-220, March.
    9. Leduc, Elisabeth & Tojerow, Ilan, 2020. "Subsidizing Domestic Services as a Tool to Fight Unemployment: Effectiveness and Hidden Costs," IZA Discussion Papers 13544, Institute of Labor Economics (IZA).
    10. Sara Pavone & Elena Ragazzi & Lisa Sella, 2015. "Sostenere le imprese agro-industriali in Piemonte: un?analisi controfattuale," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 2015(3 Suppl.), pages 129-143.
    11. Davidson Heath & Giorgo Sertsios, 2022. "Profitability and Financial Leverage: Evidence from a Quasi-Natural Experiment," Management Science, INFORMS, vol. 68(11), pages 8386-8410, November.
    12. Augusto Cerqua & Guido Pellegrini, 2013. "Beyond the SUTVA: how industrial policy evaluations change when we allow for interaction among firms," ERSA conference papers ersa13p340, European Regional Science Association.
    13. Khanna, Rajat, 2021. "Aftermath of a tragedy: A star's death and coauthors’ subsequent productivity," Research Policy, Elsevier, vol. 50(2).
    14. Srinivasa, Aditya Korekallu & Praveen, K.V. & Subash, S.P. & Nithyashree, ML & Jha, Girish Kumar, 2021. "Does a Farmer’s Knowledge of Minimum Support Price (MSP) Affect the Farm-Gate Price? Evidence from India," 2021 Conference, August 17-31, 2021, Virtual 315205, International Association of Agricultural Economists.
    15. Ubaldi, Michele & Picchio, Matteo, 2023. "Intergenerational scars: The impact of parental unemployment on individual health later in life," GLO Discussion Paper Series 1271, Global Labor Organization (GLO).
    16. Gustavsson Tingvall, Patrik & Videnord, Josefin, 2017. "Regional Effects of Publicly Sponsored R&D Grants on SME Performance," Ratio Working Papers 289, The Ratio Institute.
    17. Corral, Leonardo & Henderson, Heath & Miranda, Juan José, 2016. "Evidence from a Natural Experiment on the Development Impact of Windfall Gains: The Camisea Fund in Peru," IDB Publications (Working Papers) 7520, Inter-American Development Bank.
    18. Daunfeldt, Sven-Olov & Halvarsson, Daniel & Gustavsson Tingvall, Patrik & McKelvie, Alexander, 2021. "Do Targeted R&D Grants Towards Potential Highgrowth Firms Increase Employment and Demand for High Human Capital Workers?," HFI Working Papers 23, Institute of Retail Economics (Handelns Forskningsinstitut).
    19. Vikas A. Aggarwal & David H. Hsu, 2014. "Entrepreneurial Exits and Innovation," Management Science, INFORMS, vol. 60(4), pages 867-887, April.
    20. Julia Muschallik & Kerstin Pull, 2016. "Mentoring in higher education: does it enhance mentees’ research productivity?," Education Economics, Taylor & Francis Journals, vol. 24(2), pages 210-223, April.

    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:jijerp:v:19:y:2022:i:10:p:6245-:d:820317. 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.