References
- Ali, A. I., & Seiford, L. M. (1990). Translation invariance in data envelopment analysis. Operations Research Letters, 9(6), 403–405. doi: 10.1016/0167-6377(90)90061-9
- Berg, S. A., Førsund, F. R., & Jansen, E. S. (1992). Malmquist indices of productivity growth during the deregulation of Norwegian banking 1980–89. Scandinavian Journal of Economics, 94, 211–228.
- Bremberger, C., Bremberger, F., Luptacik, M., & Schmitt, S. (2015). Regulatory impact of environmental standards on the eco-efficiency of firms. Journal of the Operational Research Society, 66(3), 421–433. doi: 10.1057/jors.2013.176
- Chen, C. M., Du, J., Huo, J., & Zhu, J. (2012). Undesirable factors in integer-valued DEA: Evaluating the operational efficiencies of city bus systems considering safety records. Decision Support Systems, 54(1), 330–335. doi: 10.1016/j.dss.2012.05.040
- Cook, W. D., Roll, Y., & Kazakov, A. (1990). A DEA model for measuring the relative efficiency of highway maintenance patrols. INFOR, 28(2), 113–124.
- Cook, W. D., & Zhu, J. (2007). Within-group common weights in DEA: An analysis of power plant efficiency. European Journal of Operational Research, 178(1), 207–216. doi: 10.1016/j.ejor.2006.01.019
- Dyckhoff, H., & Allen, K. (2001). Measuring ecological efficiency with data envelopment analysis (DEA). European Journal of Operational Research, 132(2), 312–325. doi: 10.1016/S0377-2217(00)00154-5
- Färe, R., & Grosskopf, S. (2004). Modeling undesirable factors in efficiency evaluation: Comment. European Journal of Operational Research, 157(1), 242–245. doi: 10.1016/S0377-2217(03)00191-7
- Färe, R., Grosskopf, S., Lovell, C. A. K., & Pasurka, C. (1989). Multilateral productivity comparisons when some outputs are undesirable: A nonparametric approach. Review of Economics & Statistics, 71(1), 90–98. doi: 10.2307/1928055
- Golany, B., & Roll, Y. (1989). An application procedure for DEA. Omega, 17(3), 237–250.
- Gomes, E. G., & Lins, M. P. E. (2008). Modelling undesirable outputs with zero sum gains data envelopment analysis models. Journal of the Operational Research Society, 59(5), 616–623. doi: 10.1057/palgrave.jors.2602384
- Hatami-Marbini, A., Tavana, M., Agrell, P. J., Lotfi, F. H., & Beigi, Z. G. (2015). A common-weights DEA model for centralized resource reduction and target setting. Computers & Industrial Engineering, 79(1), 195–203. doi: 10.1016/j.cie.2014.10.024
- Huang, Y. T., & Kao, J. J. (2012). Inefficiency countervailed DEA (IC-DEA) method for assessing corporate environmental performance. Journal of the Operational Research Society, 63(4), 470–477. doi: 10.1057/jors.2011.56
- Kao, C. (2010). Malmquist productivity index based on common-weights DEA: The case of Taiwan forests after reorganization. Omega, 38(6), 484–491. doi: 10.1016/j.omega.2009.12.005
- Kao, C., & Hung, H. T. (2005). Data envelopment analysis with common weights: The compromise solution approach. Journal of the Operational Research Society, 56(10), 1196–1203. doi: 10.1057/palgrave.jors.2601924
- Kuriyama, S. (2006). A new approach to environmental-performance evaluation. International Journal of Production Research, 44(18–19), 4137–4143. doi: 10.1080/00207540600863522
- Lovell, C. A. K., Pastor, J. T., & Turner, J. A. (1995). Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries. European Journal of Operational Research, 87(3), 507–518. doi: 10.1016/0377-2217(95)00226-X
- Lu, W. M., & Lo, S. F. (2007). A closer look at the economic - environmental disparities for regional development in China. European Journal of Operational Research, 183(2), 882–894. doi: 10.1016/j.ejor.2006.10.027
- Mavi, R. K., Saen, R. F., & Goh, M. (2018). Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach. Technological Forecasting & Social Change.
- Pastor, J. T. (1996). Chapter 3 Translation invariance in data envelopment analysis: A generalization [J]. Annals of Operations Research, 66(2), 91–102. doi: 10.1007/BF02187295
- Roll, Y., Cook, W., & Golany, B. (1991). Controlling factor weights in data envelopment analysis. AIIE Transactions, 23(1), 2–9. doi: 10.1080/07408179108963835
- Ruiz, J. L., & Sirvent, I. (2015). Common benchmarking and ranking of units with DEA. Omega, 65, 1–9.
- Saati, S., Hatamimarbini, A., Agrell, P. J., & Tavana, M. (2013). A common set of weight approach using an ideal decision making unit in data envelopment analysis. Journal of Industrial and Management Optimization, 8(3), 623–637. doi: 10.3934/jimo.2012.8.623
- Seiford, L. M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142(1), 16–20. doi: 10.1016/S0377-2217(01)00293-4
- Seiford, L. M., & Zhu, J. (2005). A response to comments on modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 161(2), 579–581. doi: 10.1016/j.ejor.2003.09.018
- Wu, J., An, Q., Yao, X., & Wang, B. (2014). Environmental efficiency evaluation of industry in China based on a new fixed sum undesirable output data envelopment analysis. Journal of Cleaner Production, 74(7), 96–104. doi: 10.1016/j.jclepro.2014.03.054
- You, S., & Yan, H. (2011). A new approach in modelling undesirable output in DEA model. Journal of the Operational Research Society, 62(12), 2146–2156. doi: 10.1057/jors.2011.1
- Yu, Y., Zhu, W., Shi, Q., & Zhang, Q. (2016). Network-like DEA approach for environmental assessment: Evidence from U.S. manufacturing sectors. Journal of Cleaner Production, 139, 277–286. doi: 10.1016/j.jclepro.2016.08.052
- Zhu, W., Sun, P., & Zhang, Q. (2017). Context-dependent data envelopment analysis with common set of weights. Information Systems & Operational Research, 56(3), 1–12.