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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.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Tim Lu, and Shiang-Tai Liu, “Ranking DMUs by Comparing DEA Cross-Efficiency Intervals Using Entropy Measures,” Entropy, vol. 18, no. 12, pp. 452, 2016. View at Publisher · View at Google Scholar
  • Luciana Goncalves Machado, De Mello, and Marcos Costa Roboredo, “Efficiency Evaluation of Brazilian Electrical Distributors Using DEA Game and Cluster Analysis,” IEEE Latin America Transactions, vol. 14, no. 11, pp. 4499–4505, 2016. View at Publisher · View at Google Scholar
  • Qing Wang, Zhaojun Liu, and Yang Zhang, “A Novel Weighting Method for Finding Common Weights in DEA,” Asia-Pacific Journal of Operational Research, pp. 1750027, 2017. View at Publisher · View at Google Scholar
  • Min Cheng, and Yujie Lu, “Investment efficiency of urban infrastructure systems: Empirical measurement and implications for China,” Habitat International, vol. 70, pp. 91–102, 2017. View at Publisher · View at Google Scholar
  • Yunna Wu, Zongyun Song, and Xinli Xiao, “Efficiency differences of government investment projects: An application of a DEA and Tobit analysis,” International Journal of Technology, Policy and Management, vol. 17, no. 1, pp. 58–76, 2017. View at Publisher · View at Google Scholar