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Model Construction and Empirical Analysis of the Efficiency Evaluation of Resource and Environment System

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Advances in Decision Science and Management (ICDSM 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1391))

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Abstract

In this paper, we divide resources and environment evaluation system into production system (subsystem 1) and environmental governance system (subsystem 2) according to the internal structure of the system of resources and environment. The two subsystems associated through the pollutants of the intermediate outputs. For this particular structure, we build a network DEA model characterized with expanded strong freely disposal, which is called E-NSBM models. Finally, this model is applied to evaluate the efficiency of resources and environment in China's provinces. We concluded that (1) the efficiency value of subsystem 1 and subsystem 2 in multiple provinces is 1, but there is no province scored 1 in overall efficiency. (2) The production system efficiency is higher, while the environmental governance system efficiency is lower in developed areas and which is reverse in relatively backward area. (3) The efficiency of the production system has obvious regional differences. (4) Industrial structure and economic development have significant influence on the efficiency of resources and environment.

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References

  1. Bian, Y. 2012. Environmental efficiency evaluation of two-stage production system with non cooperative game. Journal of management science 15 (7): 11–19.

    Google Scholar 

  2. Bian, Y., P. He, and H. Xu. 2013. Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach. Energy Policy 63: 962–971.

    Article  Google Scholar 

  3. Lozano, S., and E. Gutierrez. 2008. Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions. Ecological Economics 66 (4): 687–699.

    Article  Google Scholar 

  4. Sun, C., and L. Zhao. 2013. Measurement of environmental technical efficiency and analysis of spatial correlation characteristics of water resources utilization in China under environmental regulation. Economic Geography 33 (2): 26–32.

    MathSciNet  Google Scholar 

  5. Wag, X., W. Chen, and X. Chen. 2016. Dynamic evaluation of China’s provincial resource and environmental efficiency based on e-nsbm model. Journal of Hunan University (Social Science Edition) 30 (03): 101–107.

    Google Scholar 

  6. Liu, D., C. Ma, Z. Zhou, and W. Liu. 2015. Multi stage system efficiency evaluation model with unexpected input and output. China management science 23 (04): 129–138.

    Google Scholar 

  7. Färe, R., and S. Grosskopf. 2004. Modeling undesirable factors in efficiency evaluation: comment. European Journal of Operational Research 157 (1): 242–245.

    Article  Google Scholar 

  8. Liang, L., W.D. Cook, et al. 2008. DEA models for two-stage processes: Game approach and efficiency decomposition. Naval Research Logistics 55 (7): 643–653.

    Article  MathSciNet  Google Scholar 

  9. Kao, C. 2014. Efficiency decomposition in network data envelopment analysis with slacks-based measures. Omega 45: 1–6.

    Article  Google Scholar 

  10. Song, M, S. Wang, and W. Liu. 2014. A two-stage DEA approach for environmental efficiency measurement. Environmental Monitoring and Assessment 1–11.

    Google Scholar 

  11. Liu, W.B., W. Meng, X.X. Li, and D.Q. Zhang. 2010. DEA models with undesirable inputs and outputs. Annals of Operational Research 173: 177–194.

    Article  MathSciNet  Google Scholar 

  12. Feng, W., and G. Feng. 2013. Evaluation of China's provincial energy and environmental efficiency based on DEA window model. China's Industrial Economy 7: 56–68.

    Google Scholar 

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Acknowledgements

This work is phased achievement of the key research topics of National Party School (School of administration) system in 2021: “Research on the Improvement of Development Quality of Hunan Pilot Free Trade Zone under the New Development Pattern”.

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Authors and Affiliations

  1. Economic and Social Development Research Center of Hunan Institute of Public Administration, Changsha, 410006, China

    Xiaoyan Wang

Authors
  1. Xiaoyan Wang
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Editors and Affiliations

  1. School of Business, Hunan International Economics University, Hunan, China

    Taosheng Wang

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada

    Andrew W.H. Ip

  4. Business Systems and Analytics Department, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

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Wang, X. (2022). Model Construction and Empirical Analysis of the Efficiency Evaluation of Resource and Environment System. In: Wang, T., Patnaik, S., Ip, A.W., Tavana, M. (eds) Advances in Decision Science and Management. ICDSM 2021. Advances in Intelligent Systems and Computing, vol 1391. Springer, Singapore. https://doi.org/10.1007/978-981-16-2502-2_27

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