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Mathematical Problems in Engineering
Volume 2016, Article ID 9814313, 10 pages
http://dx.doi.org/10.1155/2016/9814313
Research Article

DEA Game Cross-Efficiency Model to Urban Public Infrastructure Investment Comprehensive Efficiency of China

1College of Management and Economics, Tianjin University, Tianjin 300072, China
2School of Public Administration, Tianjin University of Commerce, Tianjin 300134, China
3School of Management, Tianjin University of Technology, Tianjin 300384, China

Received 29 July 2015; Accepted 18 February 2016

Academic Editor: Alessandro Gasparetto

Copyright © 2016 Yu Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. X. Zhang, Y. Li, and W. Wu, “Evaluation of urban resource and environmental efficiency in China based on the DEA model,” Journal of Resources and Ecology, vol. 5, no. 1, pp. 11–19, 2014. View at Publisher · View at Google Scholar
  2. V. Henderson, “Urbanization in developing countries,” The World Bank Research Observer, vol. 17, no. 1, pp. 89–112, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. A. C. Morais, J. J. G. Aragão, Y. Yamashita, R. D. Orrico, and A. B. de Freitas Dourado, “Analysing the fiscal sustainability of transit investment projects: the case of the metropolitan railway of Brasília,” Research in Transportation Economics, vol. 48, pp. 422–428, 2014. View at Publisher · View at Google Scholar · View at Scopus
  4. E. Dahlgren and T. Leung, “An optimal multiple stopping approach to infrastructure investment decisions,” Journal of Economic Dynamics & Control, vol. 53, pp. 251–267, 2015. View at Publisher · View at Google Scholar · View at MathSciNet
  5. A. Kemmerling and A. Stephan, “Comparative political economy of regional transport infrastructure investment in Europe,” Journal of Comparative Economics, vol. 43, no. 1, pp. 227–239, 2015. View at Publisher · View at Google Scholar · View at Scopus
  6. X. Zheng, F. Li, S. Song, and Y. Yu, “Central government's infrastructure investment across Chinese regions: a dynamic spatial panel data approach,” China Economic Review, vol. 27, pp. 264–276, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Pradeep and V. C. Nair, “A scientific approach to prioritizing highway infrastructure investment schemes,” Procedia-Social and Behavioral Sciences, vol. 104, pp. 932–941, 2013. View at Publisher · View at Google Scholar
  8. S. Mishra, S. Khasnabis, and S. Swain, “Multi-entity perspective transportation infrastructure investment decision making,” Transport Policy, vol. 30, pp. 1–12, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. X. Han, X. Xue, J. Ge, H. Wu, and C. Su, “Measuring the productivity of energy consumption of major industries in China: a DEA-based method,” Mathematical Problems in Engineering, vol. 2014, Article ID 121804, 12 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  10. J. Huang, J. Chen, and Z. Yin, “A network DEA model with super efficiency and undesirable outputs: an application to bank efficiency in China,” Mathematical Problems in Engineering, vol. 2014, Article ID 793192, 14 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. Z.-F. Li and Y.-L. Li, “An empirical study on performance evaluation of infrastructure investment of China based on DEA method from 2003 to 2007,” Journal of Systems & Management, vol. 18, no. 3, pp. 309–315, 2003 (Chinese). View at Google Scholar
  12. J. P. Yang and L. Gao, “DEA's CCR model for evaluation of urban infrastructure investment efficiency of Shaanxi Province,” Applied Mechanics and Materials, vol. 685, pp. 424–428, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. G. Fancello, B. Uccheddu, and P. Fadda, “Data envelopment analysis (D.E.A.) for urban road system performance assessment,” Procedia—Social and Behavioral Sciences, vol. 111, pp. 780–789, 2014. View at Publisher · View at Google Scholar
  14. T. R. Sexton, R. H. Silkman, and A. J. Hogan, “Data envelopment analysis: critique and extension,” in Measuring Efficiency: An Assessment of Data Envelopment Analysis, R. H. Silkman, Ed., vol. 32, pp. 73–105, Jossey-Bass, San Francisco, Calif, USA, 1986. View at Google Scholar
  15. J. Doyle and R. Green, “Efficiency and cross-efficiency in DEA: derivations, meanings and uses,” The Journal of the Operational Research Society, vol. 45, no. 5, pp. 567–578, 1994. View at Publisher · View at Google Scholar · View at Scopus
  16. Y. Sun, K.-Y. Wang, and X.-D. Yao, “Economic benefits evaluation of urban public infrastructure based on the DEA cross-efficiency method,” China Soft Science Magazine, vol. 1, pp. 172–183, 2015 (Chinese). View at Google Scholar
  17. L. Liang, J. Wu, W. D. Cook, and J. Zhu, “The DEA game cross-efficiency model and its Nash equilibrium,” Operations Research, vol. 56, no. 5, pp. 1278–1288, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  18. F. Yang, Q. Xia, and L. Liang, “DEA cross efficiency evaluation method for competitive and cooperative decision making units,” System Engineering—Theory & Practice, vol. 31, no. 1, pp. 92–98, 2011 (Chinese). View at Google Scholar · View at Scopus
  19. J. Wu, L. Liang, and Y. Chen, “DEA game cross-efficiency approach to Olympic rankings,” Omega, vol. 37, no. 4, pp. 909–918, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. R. Ma, L. Yao, M. Jin, and P. Ren, “The DEA game cross-efficiency model for supplier selection problem under competition,” Applied Mathematics and Information Sciences, vol. 8, no. 2, pp. 811–818, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. C. Ma, D. Liu, Z. Zhou, W. Zhao, and W. Liu, “Game cross efficiency for systems with two-stage structures,” Journal of Applied Mathematics, vol. 2014, Article ID 747596, 8 pages, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  22. Y.-Q. Liu, C. Zhou, and Y. Zhang, “Coordinate preference DEA method of software project risk assessment,” in Proceedings of the International Conference on Communication Systems and Network Technologies (CSNT '12), pp. 675–678, Rajkot, India, May 2012. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Du, W. D. Cook, L. Liang, and J. Zhu, “Fixed cost and resource allocation based on DEA cross-efficiency,” European Journal of Operational Research, vol. 235, no. 1, pp. 206–214, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  24. H. Cheng, Y. Zhang, J. Cai, and W. Huang, “A Multiobjective programming method for ranking all units based on compensatory DEA model,” Mathematical Problems in Engineering, vol. 2014, Article ID 807843, 14 pages, 2014. View at Publisher · View at Google Scholar