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Evaluation of the Efficiency of Low Carbon Industrialization in Cultural and Natural Heritage: Taking Leshan as an Example

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  • Liming Yao

    () (Low carbon Technology and Economy Research Center, Sichuan University, Chengdu 610064, China
    Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, China)

  • Jiuping Xu

    () (Low carbon Technology and Economy Research Center, Sichuan University, Chengdu 610064, China
    Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu 610064, China)

  • Yifan Li

    () (Low carbon Technology and Economy Research Center, Sichuan University, Chengdu 610064, China)

Abstract

This paper concentrates on the evaluation of the efficiency of low carbon industrialization in the tourism sector. Combining the general indices of the regional industrialization with the specific characteristics of low carbon development in the tourism sector, a comprehensive index system is scientifically designed. Due to the complexity of the index system and the tight correlation among some indices, rough set theory (RST) is applied to reduce the dimensions of the index system and delete some overlapped information. Then, the data envelopment analysis (DEA) is used to evaluate the efficiency of low carbon industrialization in every year, in order to investigate the development of regional economy, where the year is considered as the Decision-Making Unit (DMU). Furthermore, the super efficiency value of each DMU is calculated to compare the level of low carbon industrialization in each year. Finally, Leshan city, which is a typical representative of a World Cultural and Natural region in China, is considered as a practical application to show the effectiveness of the proposed model. Then, some valuable suggestions are given to help decision makers improve regional development.

Suggested Citation

  • Liming Yao & Jiuping Xu & Yifan Li, 2014. "Evaluation of the Efficiency of Low Carbon Industrialization in Cultural and Natural Heritage: Taking Leshan as an Example," Sustainability, MDPI, Open Access Journal, vol. 6(6), pages 1-18, June.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:6:p:3825-3842:d:37086
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    References listed on IDEAS

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    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Rui Zhao & Hualing He & Ning Zhang, 2015. "Regional Water Footprint Assessment: A Case Study of Leshan City," Sustainability, MDPI, Open Access Journal, vol. 7(12), pages 1-16, December.
    3. repec:gam:jsusta:v:7:y:2015:i:12:p:16532-16547:d:60628 is not listed on IDEAS

    More about this item

    Keywords

    evaluation; low-carbon industrialization; rough set theory; DEA;

    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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