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The Effects of Ecological Policy of Kyrgyzstan Based on Data Envelope Analysis

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  • Yun Hao

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China
    Institute of Resource and Environmental Science, Xinjiang University, Urumchi 830046, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Center for Ecological and Environmental Studies in Central Asia, Chinese Academy of Sciences, Urumchi 830011, China)

  • Degang Yang

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jingjing Yin

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xi Chen

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China
    Center for Ecological and Environmental Studies in Central Asia, Chinese Academy of Sciences, Urumchi 830011, China)

  • Anming Bao

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China)

  • Miao Wu

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China)

  • Xiaoyun Zhang

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China)

Abstract

Kyrgyzstan is located in the runoff formation area of Aral Sea basin. The ecological protection of this country has a great effect on the downstream and Aral Sea conservation. There were a few studies about this region carried out from ecological policy aspects. The aim of this study was two-fold. First, we characterized the eco-policy system structure of Kyrgyzstan in different stages. It means the transition from “command and control” to “market-based” ecological policy. The priority of ecological policy was changed from “sustain economic growth and poverty reduction” to “sustainable development and green economy”. We then used a data envelope analysis method to evaluate the effects of eco-policy and government governance through eco-efficiency. The results are that (1) the eco-efficiency achieved the relative optimal state and the ecological policy obtained a relatively positive effect as a whole; (2) economic development promotes the protection of the ecological environment. It is the first time that quantitative method has been used to analyze the effects of ecological policy of Kyrgyzstan. The model results can reflect comprehensive effects of ecological policy in social, economic, and ecological aspects. This study provides a reference for those who want to shape the next generation of eco-environmental policies both in Kyrgyzstan and other Central Asian countries.

Suggested Citation

  • Yun Hao & Degang Yang & Jingjing Yin & Xi Chen & Anming Bao & Miao Wu & Xiaoyun Zhang, 2019. "The Effects of Ecological Policy of Kyrgyzstan Based on Data Envelope Analysis," Sustainability, MDPI, vol. 11(7), pages 1-18, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:1922-:d:218695
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    References listed on IDEAS

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    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. 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.
    3. Shi, Kaifang & Yu, Bailang & Huang, Chang & Wu, Jianping & Sun, Xiufeng, 2018. "Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road," Energy, Elsevier, vol. 150(C), pages 847-859.
    4. Ulan Kasymov & Ahmad Hamidov, 2017. "Comparative Analysis of Nature-Related Transactions and Governance Structures in Pasture Use and Irrigation Water in Central Asia," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    5. Po-Chin Wu & Tzu-Hsien Huang & Sheng-Chieh Pan, 2014. "Country Performance Evaluation: The DEA Model Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 835-849, September.
    6. Yuldashev, Farhod & Sahin, Bahadir, 2016. "The political economy of mineral resource use: The case of Kyrgyzstan," Resources Policy, Elsevier, vol. 49(C), pages 266-272.
    7. Li, Yongjun & Xie, Jianhui & Wang, Meiqiang & Liang, Liang, 2016. "Super efficiency evaluation using a common platform on a cooperative game," European Journal of Operational Research, Elsevier, vol. 255(3), pages 884-892.
    8. Lu, Wen-Min & Kweh, Qian Long & Nourani, Mohammad & Huang, Feng-Wen, 2016. "Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives," Omega, Elsevier, vol. 62(C), pages 82-92.
    9. Utkur Djanibekov & Grace B. Villamor & Klara Dzhakypbekova & James Chamberlain & Jianchu Xu, 2016. "Adoption of Sustainable Land Uses in Post-Soviet Central Asia: The Case for Agroforestry," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
    10. Guo, I-Lung & Lee, Hsuan-Shih & Lee, Dan, 2017. "An integrated model for slack-based measure of super-efficiency in additive DEA," Omega, Elsevier, vol. 67(C), pages 160-167.
    11. Magdalena Rybaczewska-Błażejowska & Wacław Gierulski, 2018. "Eco-Efficiency Evaluation of Agricultural Production in the EU-28," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
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    Cited by:

    1. Qian Zhang & Huaxing Zhang & Dan Zhao & Baodong Cheng & Chang Yu & Yanli Yang, 2019. "Does Urban Sprawl Inhibit Urban Eco-Efficiency? Empirical Studies of Super-Efficiency and Threshold Regression Models," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    2. Yuan You & Yongdong Wang & Shengyu Li, 2021. "Effects of eco-policy on Kuwait based upon data envelope analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 12828-12841, September.
    3. Altanshagai Batmunkh & Agus Dwi Nugroho & Maria Fekete-Farkas & Zoltan Lakner, 2022. "Global Challenges and Responses: Agriculture, Economic Globalization, and Environmental Sustainability in Central Asia," Sustainability, MDPI, vol. 14(4), pages 1-21, February.

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