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Assessment and improvement analysis of economic production, water pollution, and sewage treatment efficiency in China

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  • Shi, Zhen
  • She, Zhiyu
  • Chiu, Yung-ho
  • Qin, Shijiong
  • Zhang, Lina

Abstract

With its rapid economic development in the last 40 years, China's environmental pollution has begun to seriously affect its citizens' lives as well as domestic business expansion. The problems of water pollution, increasing population, acceleration of urbanization, and strong GDP growth have made this critical issue increasingly more prominent. Recent related literature has mostly focused on economic production development and water pollution separately without systematically considering the relevant links between the former and sewage treatment capacity. Therefore, based on data of 30 provinces in China from 2011 to 2017, this paper uses a modified undesirable dynamic network Slacks-Based Measure (SBM) model to look into each province's economic production stage efficiency and sewage treatment stage efficiency. The research findings show big differences in input and output efficiencies for each region from 2011 to 2017 and a distinct mismatch between economic production stage efficiency and sewage treatment stage efficiency, with the former higher and the latter lower. Lastly, sewage treatment stage efficiency is a major drag on overall efficiency. Each province should thus follow the key indicators to improve efficiency according to local conditions.

Suggested Citation

  • Shi, Zhen & She, Zhiyu & Chiu, Yung-ho & Qin, Shijiong & Zhang, Lina, 2021. "Assessment and improvement analysis of economic production, water pollution, and sewage treatment efficiency in China," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
  • Handle: RePEc:eee:soceps:v:74:y:2021:i:c:s003801212030793x
    DOI: 10.1016/j.seps.2020.100956
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    1. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    2. Entezam, Hasan Farmani & Sobhani, Farzad Movahedi & Najafi, Seyed Esmaeil & Roshdi, Israfil, 2020. "A multi-component enhanced Russell measure of efficiency: With application to water supply plans," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    3. Rogge, Nicky & de Jaeger, Simon, 2012. "Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model," Working Papers 2012/22, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    4. Zhang, Chenjun & Wu, Yusi & Yu, Yu, 2020. "Spatial decomposition analysis of water intensity in China," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    5. Pinto, Francisco Silva & Simões, Pedro & Marques, Rui Cunha, 2017. "Raising the bar: The role of governance in performance assessments," Utilities Policy, Elsevier, vol. 49(C), pages 38-47.
    6. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    7. Hailiang Ma & Chenling Shi & Nan-Ting Chou, 2016. "China’s Water Utilization Efficiency: An Analysis with Environmental Considerations," Sustainability, MDPI, vol. 8(6), pages 1-15, May.
    8. Riccioli, F. & Fratini, R. & Marone, E. & Fagarazzi, C. & Calderisi, M. & Brunialti, G., 2020. "Indicators of sustainable forest management to evaluate the socio-economic functions of coppice in Tuscany, Italy," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    9. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    10. Nemoto, Jiro & Goto, Mika, 1999. "Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies," Economics Letters, Elsevier, vol. 64(1), pages 51-56, July.
    11. Li, Wanghong & Li, Zhepeng & Liang, Liang & Cook, Wade D., 2017. "Evaluation of ecological systems and the recycling of undesirable outputs: An efficiency study of regions in China," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 77-86.
    12. Afzalinejad, Mohammad, 2020. "Reverse efficiency measures for environmental assessment in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    13. Alexi Thompson & Christopher Jeffords, 2017. "Virtual Water and an EKC for Water Pollution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 1061-1066, February.
    14. Cruz, Nuno Ferreira da & Carvalho, Pedro & Marques, Rui Cunha, 2013. "Disentangling the cost efficiency of jointly provided water and wastewater services," Utilities Policy, Elsevier, vol. 24(C), pages 70-77.
    15. Cook, Wade D. & Green, Rodney H., 2004. "Multicomponent efficiency measurement and core business identification in multiplant firms: A DEA model," European Journal of Operational Research, Elsevier, vol. 157(3), pages 540-551, September.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Kou, Po & Han, Ying & Qi, Xiaoyuan, 2022. "The operational mechanism and effectiveness of China's central environmental protection inspection: Evidence from air pollution," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    2. Ling Yang & Lin Wang, 2022. "An Improved Emergy Analysis of the Environmental and Economic Benefits of Reclaimed Water Reuse System," Sustainability, MDPI, vol. 14(9), pages 1-12, April.
    3. Veronika Vaseková, 2022. "How do people in China perceive water? From health threat perception to environmental policy change," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 12(3), pages 627-645, September.

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