IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i2p605-d479097.html
   My bibliography  Save this article

Degrees of Shortage and Uncovered Ratios for Long-Term Care in Taiwan’s Regions: Evidence from Dynamic DEA

Author

Listed:
  • Kuo-Feng Wu

    (Department of Nurse-Midwifery and Women Health, National Taipei University of Nursing and Health Science, Taipei City 112303, Taiwan)

  • Jin-Li Hu

    (Institute of Business and Management, National Yang Ming Chiao Tung University, Taipei City 10044, Taiwan)

  • Hawjeng Chiou

    (College of Management, National Taiwan Normal University, No. 162, Section 1, Heping E. Rd., Taipei City 10610, Taiwan)

Abstract

The government is facing the country’s aging population and low birth rate have led to a severe shortage of its healthcare workforce in Taiwan after 2003. In order to explore the status of the country’s degree of long-term care shortage and uncovered ratio, this research uses the Push-Pull-Mooring (PPM) theory to explain long-term care efficiency during 2010–2019 in each city and county. We collect longitudinal-sectional data for 2010–2019 from the Ministry of Health and Welfare’s Department of Statistics for 22 administrative regions in Taiwan in each year and employ dynamic data envelopment analysis (DEA) to evaluate the overall technical efficiency and the disaggregate output insufficiency to explain the research results. The main findings are as follows: (1) Cities near the capital Taipei have the highest degree of shortages in long-term caregivers and high uncovered ratios of people who need long-term care. (2) Presently, there is no demand to increase the number of long-term care institutions in Taiwan. (3) The government should introduce new long-term care certificates through national examinations in order to develop a stronger professional workforce in this field.

Suggested Citation

  • Kuo-Feng Wu & Jin-Li Hu & Hawjeng Chiou, 2021. "Degrees of Shortage and Uncovered Ratios for Long-Term Care in Taiwan’s Regions: Evidence from Dynamic DEA," IJERPH, MDPI, vol. 18(2), pages 1-17, January.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:2:p:605-:d:479097
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/2/605/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/2/605/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Alice Tran & Kim-Huong Nguyen & Len Gray & Tracy Comans, 2019. "A Systematic Literature Review of Efficiency Measurement in Nursing Homes," IJERPH, MDPI, vol. 16(12), pages 1-18, June.
    3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    4. María Dolores Ruiz-Fernández & José Manuel Hernández-Padilla & Rocío Ortiz-Amo & Cayetano Fernández-Sola & Isabel María Fernández-Medina & José Granero-Molina, 2019. "Predictor Factors of Perceived Health in Family Caregivers of People Diagnosed with Mild or Moderate Alzheimer’s Disease," IJERPH, MDPI, vol. 16(19), pages 1-14, October.
    5. Jin-Li Hu & Ming-Chung Chang & Hsin-Jung Chung, 2020. "Projecting the Target Quantity of Medical Staff in Taiwan’s Administrative Regions by the Theory of Carrying Capacity," IJERPH, MDPI, vol. 17(9), pages 1-16, April.
    6. Jin-Li Hu & Tzu-Pu Chang, 2016. "Total-Factor Energy Efficiency and Its Extensions: Introduction, Computation and Application," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 45-69, Springer.
    7. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    8. Lai, Jung-Yu & Wang, Juite, 2015. "Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 155-167.
    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. Chen, Chien-Hsun, 2023. "Taiwan’s Rapidly Aging Population: A Crisis in the Making?," MPRA Paper 116543, University Library of Munich, Germany.
    2. Cheng-En Wu & Kai Way Li & Fan Chia & Wei-Yang Huang, 2022. "Interventions to Improve Physical Capability of Older Adults with Mild Disabilities: A Case Study," IJERPH, MDPI, vol. 19(5), pages 1-11, February.

    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. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    2. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    3. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    4. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    5. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    6. Ruiyue Lin & Zhiping Chen & Qianhui Hu & Zongxin Li, 2017. "Dynamic network DEA approach with diversification to multi-period performance evaluation of funds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 821-860, July.
    7. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    8. Zhang, Linyan & Chen, Kun, 2019. "Hierarchical network systems: An application to high-technology industry in China," Omega, Elsevier, vol. 82(C), pages 118-131.
    9. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    10. Li, Hui & Wu, Dongdong, 2024. "Online investor attention and firm restructuring performance: Insights from an event-based DEA-Tobit model," Omega, Elsevier, vol. 122(C).
    11. Lin, Ruiyue & Liu, Qian, 2021. "Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1043-1057.
    12. Asmild, Mette & Pastor, Jesús T., 2010. "Slack free MEA and RDM with comprehensive efficiency measures," Omega, Elsevier, vol. 38(6), pages 475-483, December.
    13. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.
    14. Lin, Tzu-Yu & Chiu, Sheng-Hsiung & Yang, Hai-Lan, 2022. "Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    15. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    16. Eun Hak Lee & Hosuk Shin & Shin-Hyung Cho & Seung-Young Kho & Dong-Kyu Kim, 2019. "Evaluating the Efficiency of Transit-Oriented Development Using Network Slacks-Based Data Envelopment Analysis," Energies, MDPI, vol. 12(19), pages 1-15, September.
    17. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
    18. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2015. "Analyzing the impact of investment spikes on dynamic productivity growth," Omega, Elsevier, vol. 54(C), pages 116-124.
    19. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    20. Suvvari Anandarao & S. Raja Sethu Durai & Phanindra Goyari, 2019. "Efficiency Decomposition in two-stage Data Envelopment Analysis: An application to Life Insurance companies in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 271-285, June.

    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:18:y:2021:i:2:p:605-:d:479097. 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.