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Development and Urban Sustainability: An Analysis of Efficiency Using Data Envelopment Analysis

Listed author(s):
  • William H. Alfonso Piña

    ()

    (Faculty of Science Policy and Government, Urban development and management, Universidad del Rosario, Bogotá 110111, Colombia)

  • Clara Inés Pardo Martínez

    ()

    (School of Administration, Universidad del Rosario, Bogotá 110111, Colombia
    Colombian Observatory of Science and Technology, Bogotá 110111, Colombia)

Registered author(s):

    In recent decades, the majority of cities in developing countries have grown rapidly and have experienced increasing environmental problems. These changes have generated a broad discussion on urban sustainability and development. In this discussion, it is fundamental to establish methods for measuring urban sustainability using a quantitative approach. This research seeks to estimate and evaluate the environmental, social, and economic efficiency of cities in a developing country, Colombia, using data envelopment analysis to determine the changes that occurred between 2005 and 2013. In this study, indicators related to economic, environmental, and social performance are used with the objective of analyzing efficiency from urban sustainability. The results indicate differences among cities, where the efficient cities show adequate resource use, lower environmental impacts, improved social conditions, and guaranteed economic growth and development. Moreover, as the city scale increases, urban sustainability declines. All these findings are important in the formulation and design of adequate urban policies to improve and strengthen sustainability and social welfare over the long term, particularly in cities in developing countries.

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    Article provided by MDPI, Open Access Journal in its journal Sustainability.

    Volume (Year): 8 (2016)
    Issue (Month): 2 (February)
    Pages: 1-15

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    Handle: RePEc:gam:jsusta:v:8:y:2016:i:2:p:148-:d:63425
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    1. Yu, Yan & Wen, Zongguo, 2010. "Evaluating China's urban environmental sustainability with Data Envelopment Analysis," Ecological Economics, Elsevier, vol. 69(9), pages 1748-1755, July.
    2. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    3. Ramli, Noor Asiah & Munisamy, Susila, 2015. "Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure," Economic Modelling, Elsevier, vol. 47(C), pages 219-227.
    4. Sarkis, Joseph & Cordeiro, James J., 2012. "Ecological modernization in the electrical utility industry: An application of a bads–goods DEA model of ecological and technical efficiency," European Journal of Operational Research, Elsevier, vol. 219(2), pages 386-395.
    5. 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.
    6. repec:ilo:ilowps:366683 is not listed on IDEAS
    7. Jungchan Lee & Kiyo Kurisu & Kyoungjin An & Keisuke Hanaki, 2015. "Development of the compact city index and its application to Japanese cities," Urban Studies, Urban Studies Journal Limited, vol. 52(6), pages 1054-1070, May.
    8. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    9. 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.
    10. Brezis, Elise S & Krugman, Paul R, 1997. "Technology and the Life Cycle of Cities," Journal of Economic Growth, Springer, vol. 2(4), pages 369-383, December.
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