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Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level

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  • Hsing-Fu Kuo

    () (Department of Tourism, Leisure and Hospitality Management, National Chi Nan University, Nantou, No.1, University Rd., Puli., Nantou 54561, Taiwan)

  • Ko-Wan Tsou

    () (Department of Urban Planning, National Cheng Kung University, No.1, University Rd., East Dist., Tainan City 70101, Taiwan)

Abstract

This study describes a new assessment model framework, termed the driving forces-pressure-state-impact-policy and pattern (DPSIP) model, for environmental change efficiency in urban land development, based on urban sustainable development and the theory of economic efficiency evaluation. A spatial and measurable efficiency value is defined for environmental changes in urban land development, which provides a comprehensive evaluation index for the efficiency of urban development and its environmental impact. This type of urban interior sustainability is considered new within the context of global environmental changes. We identify nine important indicators to evaluate the relative efficiency of 233 neighborhoods in Tainan, Taiwan. The results indicate that the average environmental change efficiency is 89.44%, which shows clear spatial differentiation. The key indicators affecting the efficiency score are area, population density, location, mixed land uses, the floor area ratio, and the impervious ratio. In the future, urban design can reduce environmental impacts and enhance efficiency values.

Suggested Citation

  • Hsing-Fu Kuo & Ko-Wan Tsou, 2015. "Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level," Sustainability, MDPI, Open Access Journal, vol. 7(8), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10479-10498:d:53712
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    References listed on IDEAS

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    Cited by:

    1. Junwei Ma & Jianhua Wang & Philip Szmedra, 2019. "Economic Efficiency and Its Influencing Factors on Urban Agglomeration—An Analysis Based on China’s Top 10 Urban Agglomerations," Sustainability, MDPI, Open Access Journal, vol. 11(19), pages 1-19, September.
    2. Hsing-Fu Kuo & Ko-Wan Tsou, 2017. "Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis," Sustainability, MDPI, Open Access Journal, vol. 10(1), pages 1-21, December.
    3. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.

    More about this item

    Keywords

    urban land development; natural environmental impact; driving forces-pressure-state-impact-policy and pattern (DPSIP);

    JEL classification:

    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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