Skip to main content
SpringerLink
Log in

Regional Eco-efficiency and Environmental Risk Analysis in China Based on NUO-DEA Model

  • Conference paper
  • First Online:
Modeling Risk Management for Resources and Environment in China

Part of the book series: Computational Risk Management ((Comp. Risk Mgmt))

Abstract

Eco-efficiency is an important approach for economic sustainability analysis indicating how efficient the economic activity is, considering environmental risk analysis simultaneously. Traditional DEA framework neglect the undesirable output during the process of production, in industrial society lots of harmful by-products are made at the same time, which lead to serious environmental pollution and risk. In this paper we adopt a non-radial undesirable output DEA model to measures the eco-efficiency of each province in China. The conclusion is that economically developed area eastern part has the highest eco-efficiency, while less developed area western part has the worst eco-efficiency that may cause great environment risk. The western area is in a dilemma situation facing the poor economic and bad environmental condition. We suggest that the western area can purchase waste discharge right from more developed area to settle this problem provisionally.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ahujia G, Majumdar SK (1998) An assessment of the performance of Indian state-owned enterprises. J Prod Anal 9:113–132

    Article  Google Scholar 

  • Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. J Manage Sci 30(9):1078–1092

    Article  Google Scholar 

  • Charnes A, Cooper WW (1962) Programming with linear fractional functions. Nav Res Logistics Q 15:330–334

    Google Scholar 

  • Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Oper Res 2:429–444

    Article  Google Scholar 

  • Fare R, Grosskopf S, Lovell CAK, Pasurka C (1989) Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. Rev Econ Stat 71:90–98

    Article  Google Scholar 

  • Freeman MA, Haveman RH, Kneese AV (1973) The economics of environmental policy. John Wiley & Sons, New York

    Google Scholar 

  • Hu JL, Kao CH (2007) Effcient energy-savings targets for APEC economics. J Energ Policy 35:373–382

    Article  Google Scholar 

  • Hu JL, Wang SC (2006) Total-factor energy efficiency of regions in China. J Energ Policy 34(17):3206–3217

    Article  Google Scholar 

  • Lindmark M, Vikstrm P (2003) Lobar convergence in Productivity – a distance function approach to technical change and efficiency improvements. Paper for the conference catching-up growth and technology transfers in Asia and Western Europe, Groningen, pp 17–20

    Google Scholar 

  • Ng YC, Chang MK (2003) Impact of computerization on firm performance: a case of Shanghai manufacturing enterprises. J Oper Res Soc 54:1029–1037

    Article  Google Scholar 

  • Ramanathan R (2000) A holistic approach to compare energy efficiencies of different transport modes. J Energ Policy 28:743–747

    Article  Google Scholar 

  • Schaltegger S, Synnestvedt T (2002) The link between “green” and economic success. J Environ Manage 65:339–346

    Google Scholar 

  • Scheel H (2001) Undesirable outputs in efficiency valuations. Eur J Oper Res 132:400–410

    Article  Google Scholar 

  • Seiford LM, Zhu J (2002) Modeling undesirable factors in efficiency evaluation. Eur J Oper Res 142:16–20

    Article  Google Scholar 

  • Tone K (2003) A slacks-based measure of efficiency in data envelopment analysis. Eur J Oper Res 130:498–509

    Article  Google Scholar 

  • Wu DD (2010) A systematic stochastic efficiency analysis model and application to international supplier performance evaluation. Expert Syst Appl 37:6257–6264

    Article  Google Scholar 

  • Zhou P, Poh KL, Ang BW (2007) A non-radial DEA approach to measuring environmental performance. Eur J Oper Res 178:1–9

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Management, Shandong Women’s University, Jinan, 250002, China

    Xiufeng Zhu & Ning Zhang

  2. Department of International Trade, Inha University, Incheon, 402-751, South Korea

    Ning Zhang & Yongrok Choi

Authors
  1. Xiufeng Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ning Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yongrok Choi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ning Zhang .

Editor information

Editors and Affiliations

  1. , Risklab, University of Toronto, Spadina Crescent 1, Toronto, M5S 3G3, Ontario, Canada

    Desheng Dash Wu

  2. , Academy of Mathematics and Systems Scien, Chinese Academy of Sciences, Beijing, 100190, China, People's Republic

    Yong Zhou

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhu, X., Zhang, N., Choi, Y. (2011). Regional Eco-efficiency and Environmental Risk Analysis in China Based on NUO-DEA Model. In: Wu, D., Zhou, Y. (eds) Modeling Risk Management for Resources and Environment in China. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18387-4_33

Download citation

Publish with us

Policies and ethics

Search

Navigation