Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry

作者: Zaiwu Gong , Xiaoqing Chen

DOI: 10.3390/SU9122080

关键词:

摘要: This study utilizes the Data Envelopment Efficiency (DEA) model to assess input–output efficiency from two perspectives. First, not considering distribution of interval data, we introduce an adjusted parameter transform data determination data. Second, by contrast, take into account characteristics and test DEA with based on linear uniform normal uncertainty. Based evaluation model, this paper aims evaluate performance manufacturing industry constraint environmental pollution in Yangtze River Delta (YRD) region, China. Research has shown that optimal solution is better than distribution. Therefore, it imperative adopt appropriate method energy region.

参考文章(46)
William W. Cooper, Zhimin Huang, Vedran Lelas, Susan X. Li, Ole B. Olesen, Chance Constrained Programming Formulations for Stochastic Characterizations of Efficiency and Dominance in DEA Journal of Productivity Analysis. ,vol. 9, pp. 53- 79 ,(1998) , 10.1023/A:1018320430249
Michiyuki Yagi, Hidemichi Fujii, Vincent Hoang, Shunsuke Managi, Environmental efficiency of energy, materials, and emissions Journal of Environmental Management. ,vol. 161, pp. 206- 218 ,(2015) , 10.1016/J.JENVMAN.2015.06.054
Hidemichi Fujii, Jing Cao, Shunsuke Managi, Decomposition of Productivity Considering Multi‐environmental Pollutants in Chinese Industrial Sector Review of Development Economics. ,vol. 19, pp. 75- 84 ,(2015) , 10.1111/RODE.12123
Panagiotis Mitropoulos, Μichael A. Talias, Ioannis Mitropoulos, Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals European Journal of Operational Research. ,vol. 243, pp. 302- 311 ,(2015) , 10.1016/J.EJOR.2014.11.012
Mercedes Torres-Jiménez, Carlos R. García-Alonso, Luis Salvador-Carulla, Vicente Fernández-Rodríguez, Evaluation of system efficiency using the Monte Carlo DEA: The case of small health areas European Journal of Operational Research. ,vol. 242, pp. 525- 535 ,(2015) , 10.1016/J.EJOR.2014.10.019
José Manuel Cordero, Daniel Santín, Gabriela Sicilia, Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation European Journal of Operational Research. ,vol. 244, pp. 511- 518 ,(2015) , 10.1016/J.EJOR.2015.01.015
Mehdi Toloo, On finding the most BCC-efficient DMU: A new integrated MIP–DEA model Applied Mathematical Modelling. ,vol. 36, pp. 5515- 5520 ,(2012) , 10.1016/J.APM.2011.11.074
M. Khodabakhshi, M. Asgharian, An input relaxation measure of efficiency in stochastic data envelopment analysis Applied Mathematical Modelling. ,vol. 33, pp. 2010- 2023 ,(2009) , 10.1016/J.APM.2008.05.006
Efthymios G. Tsionas, Combining DEA and stochastic frontier models: An empirical Bayes approach European Journal of Operational Research. ,vol. 147, pp. 499- 510 ,(2003) , 10.1016/S0377-2217(02)00248-5