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DEA congestion and returns to scale under an occurrence of multiple optimal projections
16 references·5 citing·32 second hop
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References

  • 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis16,773 cited
  • 1957The Measurement of Productive Efficiency16,116 cited
  • 1966Allocative efficiency vs. X-Efficiency2,719 cited
  • 1985The Measurement of Efficiency of Production2,139 cited
  • 2011Handbook on Data Envelopment Analysis1,975 cited
  • 2004Handbook on Data Envelopment Analysis922 cited
  • 1976The Xistence of X-Efficiency377 cited
  • 1977Beyond Economic Man.353 cited
  • 2003Degree of scale economies and congestion: A unified DEA approach188 cited
  • 2000A unified additive model approach for evaluating inefficiency and congestion with associated measures in DEA164 cited
  • 1980Congestion of Production Factors154 cited
  • 2005Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis144 cited
  • 1993Computational Accuracy and Infinitesimals In Data Envelopment Analysis137 cited
  • 1998Inefficiency and congestion in Chinese production before and after the 1978 economic reforms135 cited
  • 2001Using DEA to improve the management of congestion in Chinese industries (1981–1997)113 cited

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  • 2001Comparisons and evaluations of alternative approaches to the treatment of congestion in DEA96 cited
  • Cited by

    • 2016Energy efficiency and congestion assessment with energy mix effect: The case of APEC countries62 cited
    • 2009Congestion measurement and elimination under the framework of data envelopment analysis53 cited
    • 2022Carbon resource reallocation with emission quota in carbon emission trading system47 cited
    • 2016Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for social sustainability in China43 cited
    • 2016Negative data in DEA: Recognizing congestion and specifying the least and the most congested decision making units39 cited