Evaluation of Urban Health Efficiency in Japanese Cities Using Network Data Envelopment Analysis
Publication: Journal of Urban Planning and Development
Volume 149, Issue 2
Abstract
Urban health efficiency is influenced by both urban planning decisions and the functioning of the public health system. However, there is currently a lack of effective methods to simultaneously examine urban planning and public health when assessing urban health efficiency. This study proposes a two-stage network data envelopment analysis (DEA) model for evaluating urban health efficiency. The urban planning and public health sectors act as interconnected stages where the public facilities and living quality are mediating variables. The urban health efficiencies of 303 Japanese cities are examined using the proposed model, showing that most Japanese cities still have room for urban planning improvement with pure technical efficiency ranging between 0.7 and 0.9. At the same time, most public health sectors of Japanese cities reach pure technical efficiencies larger than 0.95 but are limited by the scale efficiency. Further analysis points out that public health sectors are in decreasing-return-to-scale, meaning that excessive urban scale adversely affects urban health efficiency. Furthermore, cities that joined the Alliance for Healthy Cities (AFHC) performed better on average, suggesting that information sharing and national and international networking can boost urban health. The study shows that the proposed two-stage network DEA model can be applied to analyze urban health efficiency and identify the impact of technology and urban scale in different stages.
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References
Alliance for Healthy Cities. 2020. “About the alliance.”. Accessed February 14, 2022. https://www.alliance-healthycities.com/htmls/about/index_about.html.
Banker, R. D., A. Charnes, and W. W. Cooper. 1984. “Some models for estimating technical and scale inefficiencies in data envelopment analysis.” Manage. Sci. 30: 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078.
Burton, E. 2000. “The compact city: Just or just compact? A preliminary analysis.” Urban Stud. 37: 1969–2006. https://doi.org/10.1080/00420980050162184.
Charnes, A., W. W. Cooper, and E. Rhodes. 1978. “Measuring the efficiency of decision making units.” Eur. J. Oper. Res. 2: 429–444. https://doi.org/10.1016/0377-2217(78)90138-8.
Chen, Y., W. D. Cook, C. Kao, and J. Zhu. 2013. “Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures.” Eur. J. Oper. Res. 226: 507–515. https://doi.org/10.1016/j.ejor.2012.11.021.
Cook, W. D., K. Tone, and J. Zhu. 2014. “Data envelopment analysis: Prior to choosing a model.” Omega 44: 1–4. https://doi.org/10.1016/j.omega.2013.09.004.
Corburn, J. 2004. “Confronting the challenges in reconnecting urban planning and public health.” Am. J. Public Health 94: 541–546. https://doi.org/10.2105/AJPH.94.4.541.
Corburn, J. 2007. “Reconnecting with our roots: American urban planning and public health in the twenty-first century.” Urban Aff. Rev. 42: 688–713. https://doi.org/10.1177/1078087406296390.
Cylus, J., I. Papanicolas, and P. C. Smith. 2016. Health system efficiency: how to make measurement matter for policy and management. Regional Office for Europe. Geneva: WHO.
Despotis, D. K., D. Sotiros, and G. Koronakos. 2016. “A network DEA approach for series multi-stage processes.” Omega 61: 35–48. https://doi.org/10.1016/j.omega.2015.07.005.
Düzakin, E., and H. Düzakin. 2007. “Measuring the performance of manufacturing firms with super slacks based model of data envelopment analysis: An application of 500 major industrial enterprises in Turkey.” Eur. J. Oper. Res. 182: 1412–1432. https://doi.org/10.1016/j.ejor.2006.09.036.
Galea, S., and D. Vlahov. 2005. “Urban health: Evidence, challenges, and directions.” Annu. Rev. Public Health 26: 341–365. https://doi.org/10.1146/annurev.publhealth.26.021304.144708.
Jia, S., C. Wang, Y. Li, F. Zhang, and W. Liu. 2017. “The urbanization efficiency in Chengdu City: An estimation based on a three-stage DEA model.” Phys. Chem. Earth A/B/C 101: 59–69. https://doi.org/10.1016/j.pce.2017.05.003.
Jin, G., X. Deng, X. Zhao, B. Guo, and J. Yang. 2018. “Spatiotemporal patterns in urbanization efficiency within the Yangtze River Economic Belt between 2005 and 2014.” J. Geog. Sci. 28: 1113–1126. https://doi.org/10.1007/s11442-018-1545-2.
Kao, C., and S.-N. Hwang. 2008. “Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan.” Eur. J. Oper. Res. 185: 418–429. https://doi.org/10.1016/j.ejor.2006.11.041.
Kao, C., and S.-N. Hwang. 2011. “Decomposition of technical and scale efficiencies in two-stage production systems.” Eur. J. Oper. Res. 211: 515–519. https://doi.org/10.1016/j.ejor.2011.01.010.
Kirigia, J. M., A. Emrouznejad, L. G. Sambo, N. Munguti, and W. Liambila. 2004. “Using data envelopment analysis to measure the technical efficiency of public health centers in Kenya.” J. Med. Syst. 28: 155–166. https://doi.org/10.1023/B:JOMS.0000023298.31972.c9.
Lewis, H. F., and T. R. Sexton. 2004. “Network DEA: Efficiency analysis of organizations with complex internal structure.” Comput. Oper. Res. 31: 1365–1410. https://doi.org/10.1016/S0305-0548(03)00095-9.
Li, Y., Y. Chen, L. Liang, and J. Xie. 2012. “DEA models for extended two-stage network structures.” Omega 40: 611–618. https://doi.org/10.1016/j.omega.2011.11.007.
Li, Y., X. Lei, Q. Dai, and L. Liang. 2015. “Performance evaluation of participating nations at the 2012 London Summer Olympics by a two-stage data envelopment analysis.” Eur. J. Oper. Res. 243: 964–973. https://doi.org/10.1016/j.ejor.2014.12.032.
Lin, X., and Y. Wang. 2019. “Measuring resource, environmental, and economic efficiency of China’s urban agglomerations based on hybrid directional distance function.” J. Urban Plann. Dev. 145: 05019011. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000496.
Melyn, W., and W. Moesen. 1991. Towards a synthetic indicator of macroeconomic performance: unequal weighting when limited information is available. Public Economics Research Papers, 1–24. Leuven, Belgium: Leuven University Press.
Nayar, P., and Y. A. Ozcan. 2008. “Data envelopment analysis comparison of hospital efficiency and quality.” J. Med. Syst. 32: 193–199. https://doi.org/10.1007/s10916-007-9122-8.
Olejnik, A., A. Żółtaszek, and J. Olejnik. 2021. “Spatial solution to measure regional efficiency—Introducing spatial data envelopment analysis.” Econ. Reg. 16 (4): 1166–1180.
Ozcan, Y. A., and J. Khushalani. 2017. “Assessing efficiency of public health and medical care provision in OECD countries after a decade of reform.” Cent. Eur. J. Oper. Res. 25: 325–343. https://doi.org/10.1007/s10100-016-0440-0.
Patrizii, V. 2020. “On network two stages variable returns to scale Dea models.” Omega 97: 102084. https://doi.org/10.1016/j.omega.2019.06.010.
Ren, Y., H. Li, L. Shen, Y. Zhang, Y. Chen, and J. Wang. 2018. “What is the efficiency of fast urbanization? A China study.” Sustainability 10 (9): 3180.
Sarkar, C., C. Webster, and J. Gallacher. 2014. Healthy cities: Public health through urban planning. Cheltenham, UK: Edward Elgar.
Schwela, D. 2000. “Air pollution and health in urban areas.” Rev. Environ. Health 15: 13–42. https://doi.org/10.1515/REVEH.2000.15.1-2.13.
Sherman, H. D., and F. Gold. 1985. “Bank branch operating efficiency: Evaluation with data envelopment analysis.” J. Banking Finance 9: 297–315. https://doi.org/10.1016/0378-4266(85)90025-1.
Shi, L., S. Yang, and L. Gao. 2016. “Effects of a compact city on urban resources and environment.” J. Urban Plann. Dev. 142: 05016002. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000324.
UN (United Nations). 2018. Revision of world urbanization prospects. New York: UN Dept. of Economic and Social Affairs.
Wranik, D. 2012. “Healthcare policy tools as determinants of health-system efficiency: Evidence from the OECD.” Health Econ. Policy Law 7: 197–226. https://doi.org/10.1017/S1744133111000211.
Zakus, J. D. L., and C. L. Lysack. 1998. “Revisiting community participation.” Health Policy Plann. 13: 1–12. https://doi.org/10.1093/heapol/13.1.1.
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© 2023 American Society of Civil Engineers.
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Received: Feb 15, 2022
Accepted: Jan 23, 2023
Published online: Apr 13, 2023
Published in print: Jun 1, 2023
Discussion open until: Sep 13, 2023
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