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Data-Driven Evaluation and Optimisation of Livelihood Improvement Efficiency

Author

Listed:
  • Muchen Luo

    (School of Management, Suzhou University, Suzhou 234000, China)

  • Yimin Wu

    (Financial and Statistical Analysis Research Centre, Suzhou University, Suzhou 234000, China)

Abstract

In this study, we developed a data-driven approach for the evaluation and optimisation of livelihood improvement efficiency (LIE) to address slowing global economic growth and the decline in well-being in the broader population, enhance the quality of people’s livelihoods, and promote sustainable social development. We designed a questionnaire survey and constructed an evaluation index system based on a comprehensive consideration of economic resources, social security and employment, education, and health. Using principal component analysis, entropy weighting, and data envelopment analysis, we optimised the evaluation indicators and quantitatively assessed LIE. We used a Tobit regression model to analyse the factors influencing LIE and provide decision-making support for proposing countermeasures to optimise LIE. Based on the research data, we administered the questionnaire survey to 3125 residents in 16 cities in China’s Anhui Province and demonstrated the applicability of the aforementioned method. The results indicate that there is room for optimising LIE in cities in Anhui Province, which needs to be achieved through the following steps: controlling costs and avoiding waste, encouraging entrepreneurship, increasing income, guiding the direction of industrial growth, optimising regional population structure, and promoting public participation to enhance people’s livelihoods.

Suggested Citation

  • Muchen Luo & Yimin Wu, 2022. "Data-Driven Evaluation and Optimisation of Livelihood Improvement Efficiency," Sustainability, MDPI, vol. 14(13), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8131-:d:855004
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    1. D'Inverno, Giovanna & Carosi, Laura & Ravagli, Letizia, 2018. "Global public spending efficiency in Tuscan municipalities," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 102-113.
    2. Afonso, Antonio & St. Aubyn, Miguel, 2005. "Non-Parametric Approaches to Education and Health Efficiency in OECD Countries," Journal of Applied Economics, Universidad del CEMA, vol. 8(2), pages 1-20, November.
    3. Boyang Sun & Xiaohua Yang & Yipeng Zhang & Xiaojuan Chen, 2019. "Evaluation of Water Use Efficiency of 31 Provinces and Municipalities in China Using Multi-Level Entropy Weight Method Synthesized Indexes and Data Envelopment Analysis," Sustainability, MDPI, vol. 11(17), pages 1-11, August.
    4. Selena T. Garrison & Shelli D. Rampold & Katherine Vasquez & Martie Gillen & Lauri M. Baker, 2022. "Parents' employment, income, and finances before and during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 276-291, March.
    5. António Afonso & Ana Venâncio, 2020. "Local territorial reform and regional spending efficiency," Local Government Studies, Taylor & Francis Journals, vol. 46(6), pages 888-910, November.
    6. Wen‐Jui Han & Jake Hart, 2021. "Job precarity and economic prospects during the COVID‐19 public health crisis," Social Science Quarterly, Southwestern Social Science Association, vol. 102(5), pages 2394-2411, September.
    7. Adler, Nicole & Yazhemsky, Ekaterina, 2010. "Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction," European Journal of Operational Research, Elsevier, vol. 202(1), pages 273-284, April.
    8. 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.
    9. Nataraja, Niranjan R. & Johnson, Andrew L., 2011. "Guidelines for using variable selection techniques in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 215(3), pages 662-669, December.
    10. Huijun Li & Jianhua Zhang & Edward Osei & Mark Yu, 2018. "Sustainable Development of China’s Industrial Economy: An Empirical Study of the Period 2001–2011," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    11. Yangming Hu & Yingjun Wu & Wei Zhou & Tao Li & Liqing Li, 2020. "A three-stage DEA-based efficiency evaluation of social security expenditure in China," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-12, February.
    12. Azar Dufrechou, Paola, 2016. "The efficiency of public education spending in Latin America: A comparison to high-income countries," International Journal of Educational Development, Elsevier, vol. 49(C), pages 188-203.
    13. Price V. Fishback & Michael R. Haines & Shawn Kantor, 2007. "Births, Deaths, and New Deal Relief during the Great Depression," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 1-14, February.
    14. Andrews, Antony, 2022. "An application of PCA-DEA with the double-bootstrap approach to estimate the technical efficiency of New Zealand District Health Boards," Health Economics, Policy and Law, Cambridge University Press, vol. 17(2), pages 175-199, April.
    15. Mihaela Paraschiva Luca & Ileana Tache, 2021. "Sustainability of Public Finance through the Lens of Transfer Prices and Their Associated Risks: An Empirical Research," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    16. Antonio Afonso & Miguel St. Aubyn, 2011. "Assessing health efficiency across countries with a two-step and bootstrap analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1427-1430.
    17. Basakha, Mehdi & Hossein Mohaqeqi Kamal, Seyed, 2019. "Industrial development and social welfare: A case study of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 68(C).
    18. Pınar Kaya Samut & Reyhan Cafrı, 2016. "Analysis of the Efficiency Determinants of Health Systems in OECD Countries by DEA and Panel Tobit," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(1), pages 113-132, October.
    19. Yi-Chung Hsu & Chien-Chiang Lee, 2014. "Performance Measurement In Public Spending: Evidence From A Non-Parametric Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 136-159, October.
    20. Zbyslaw Dobrowolski, 2020. "After COVID-19. Reorientation of crisis management in crisis," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 799-810, December.
    21. Dong Jin Shin & Byung Sub Cha & Brian H.S. Kim, 2020. "Efficient Expenditure Allocation for Sustainable Public Services?—Comparative Cases of Korea and OECD Countries," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    22. Wei Liu & Jie Xu & Jie Li, 2018. "The Influence of Poverty Alleviation Resettlement on Rural Household Livelihood Vulnerability in the Western Mountainous Areas, China," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    23. Stefano Mainardi, 2015. "Disparities in Public Service Provision in Niger: Cross-District Evidence on Access to Primary Schools and Healthcare," Regional Studies, Taylor & Francis Journals, vol. 49(12), pages 2017-2036, December.
    24. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    25. Zbyslaw Dobrowolski, 2021. "Why Some Countries Win and others Loose from the COVID-19 Pandemic? Navigating the Uncertainty," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 1217-1226.
    26. 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.
    27. Kleber Morais De Sousa & Monica De Maria Santos Fornitani Pinhanez & Paulo Aguiar Do Monte & Josedilton Alves Diniz, 2020. "Salary, financial autonomy and efficiency of healthcare systems in local governments," Applied Economics Letters, Taylor & Francis Journals, vol. 27(2), pages 122-126, January.
    28. da Cruz, Nuno Ferreira & Marques, Rui Cunha, 2014. "Revisiting the determinants of local government performance," Omega, Elsevier, vol. 44(C), pages 91-103.
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