1. Hu, J.L. andWang, S.C. Total factor energy e_ciency of regions in China", Energy Policy, 34(17), pp. 3206{ 3217 (2006). 2. Kumar, S. Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index", Ecological Economics, 56, pp. 280{293 (2006). 3. Gomes, E.G. and Lins, M.P.E. Modeling undesirable outputs with zero sum gains data envelopment analysis models", Journal of the Operational Research Society, 59, pp. 616{623 (2007). 4. Zhou, P., Ang, B.W., and Poh, K.L. Measuring environmental performance under di_erent environmental DEA technologies", Energy Economics, 30(1), pp. 1{ 14 (2008). 5. Yeh, T.-l., Chen, T.-y., and Lai, P.-y. A comparative study of energy utilization e_ciency between Taiwan and China", Energy Policy, 38, pp. 2386{2394 (2010). 6. Zhang, X.P., Cheng, X.M., Yuan, J.H., and Gao, X.J. Total-factor energy e_ciency in developing countries", Energy Policy, 39, pp. 644{650 (2011). 7. Choi, Y., Zhang, N., and Zhou, P. E_ciency and abatement costs of energy-related CO2 emissions in China: A slacks-based e_ciency measure", Applied Energy, 98, pp. 198{208 (2012). 8. Wang, K., Wei, Y.-M., and Zhang, X. Energy and emissions e_ciency patterns of Chinese regions: A multi-directional e_ciency analysis", Applied Energy, 104, pp. 105{116 (2013). 9. Lin, B. and Yang, L. E_ciency e_ect of changing investment structure on China's power industry", Renewable and Sustainable Energy Reviews, 39, pp. 403{ 411 (2014). 10. Zhou, C., Chung, W., and Zhang, Y. Measuring energy e_ciency performance of China's transport sector: A data envelopment analysis approach", Expert System with Application, 41(2), pp. 709{722 (2014). 11. Pan, X., Liu. Q., and Peng, X. Spatial club convergence of regional energy e_ciency in China", Ecological Indicators, 51, pp. 25{30 (2015). 12. Wang, Z. and Feng, C. A performance evaluation of the energy, environmental, and economic e_ciency and productivity in China: an application of global data envelopment analysis", Applied. Energy, 147, pp. 617{ 626 (2015). 13. Wu, J., Lin, L., Sun, J., and Ji, X. A comprehensive analysis of China's regional energy saving and emission reduction e_ciency : from production and treatment perspectives", Energy Policy, 84, pp. 166{178 (2015). 14. Liou, J.-L., Chiu, C.-R., Huang, F.-M., and Liu, W.- Y. Analyzing the relationship between CO2 emission and economic e_ciency by a relaxed two-stage DEA model", Aerosol and Air Quality Research, 15, pp. 694{701 (2015). 15. Meng, F., Su, B., Thomson, E., Zhou, D., and Zhou, P. Measuring China's regional energy and carbon emission e_ciency with DEA models: A survey", Applied Energy, 183, pp. 1{21 (2016). 16. Wang, Q., Chiu, Y.H., and Chiu, C.R. Non-radial metafrontier approach to identify Carbon Emission Performance and intensity", Renewable and Sustainable Energy Reviews, 69, pp. 664{672 (2017). 968 Y. Li et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 956{969 17. Du, K., Xie, Ch., and Ouyang, X. A comparison of carbon dioxide (CO2) emission trends among provinces in China", Renewable and Sustainable Energy Reviews, 73, pp. 19{35 (2017). 18. Feng, Ch., Zhang, H., and Huang, J.-B. The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis", Renewable and Sustainable Energy Reviews, 71, pp. 859{872 (2017). 19. Vardanyan, M. and Noh, D. Approximating pollution abatement costs via alternative speci_cations of a multi-output production technology: a case of the US electric utility industry", Journal of Environmental Management, 80, pp. 177{190 (2006). 20. Rao, X., Wu, J., and Zhang, Z. Energy e_ciency and energy saving potential in China: an analysis based on slacks-based measure model", Computers and Industrial Engineering, 63(3), pp. 578{584 (2012). 21. Long, X., Oh, K., and Cheng, G. Are stronger environmental regulations e_ective in practice? The case of China's accession to the WTO", Journal of Cleaner Production, 39, pp. 161{167 (2013). 22. Bi, G.B., Song, W., and Zhou, P. Does environmental regulation a_ect energy e_ciency in China's thermal power generation? Empirical evidence from a slacksbased DEA model", Energy Policy, 66, pp. 537{546 (2014). 23. Bian, Y., Liang, N., and Xu, H. E_ciency evaluation of Chinese regional industrial systems with undesirable factors using a two-stage slacks-based measure approach", Journal of Cleaner Production, 87, pp. 348{356 (2015). 24. Wang, Q., Hang, Y., Sun, L., and Zhao, Z. Twostage innovation e_ciency of new energy enterprises in China: A non-radial DEA approach", Technological Forecasting and Social Change, 112, pp. 254{261 (2016). 25. Li, H., You, Sh., Zhang, H., Zhang, W., Zheng, X., Jia, J., Ye, T., and Zou, L. Modelling of AQI related to building space heating energy demand based on big data analytics", Applied Energy, 203, pp. 57{71 (2017). 26. Li, H., You, Sh., Zhang, H., Zhang, W., and Zou, L. Investigating the environmental quality deterioration and human health hazard caused by heating emissions", Science of the Total Environment, 629, pp. 1209{1222 (2018). 27. Xu, X., Gonz_alez, J.E., Shen, Sh., Miao, Sh., and Dou, J. Impacts of urbanization and air pollution on building energy demands - Beijing case study", Applied Energy, 225, pp. 98{105 (2018). 28. Tong, Zh., Chen, Y., Malkawi, A., Liu, Zh., and Freeman, R.B. Energy saving potential of natural ventilation in China: The impact of ambient air pollution", Applied Energy, 179, pp. 660{668 (2016). 29. Bidokhti, A.A., Shariepourb , Z., and Sehatkashanic, S. Some resilient aspects of urban areas to air pollution and climate change, case study: Tehran, Iran", Scientia Iranica, Transactions A, Civil Engineering, 23(5), 1994{2004 (2016). 30. Ahmadzadehtalatapeh, M. Solar assisted desiccant evaporative cooling system for o_ce buildings in Iran: An annual simulation model", Scientia Iranica, Transactions B, Mechanical Engineering, 25(1), pp. 280{298 (2018). 31. Liao, Zh., Gao, M., Sun, J., and Fan S, The impact of synoptic circulation on air quality and pollutionrelated human health in the Yangtze River Delta region", Science of the Total Environment, 608, pp. 838{846 (2017). 32. Li, H., You, Sh., Zhang, H., Zhang, W., Lee, W.-L., Ye, T., and Zou, L. Analyzing the impact of heating emissions on air quality index based on principal component regression", Journal of Cleaner Production, 171(10), pp. 1577{1592 (2018). 33. Khreis, H., Hooghf, K.de., and Nieuwenhuijsen, M.J. Full-chain health impact assessment of tra_c-related air pollution and childhood asthma", Environment International, 114, pp. 365{375 (2018). 34. Maji, K., Dikshit, A.K., Arora, M., and Deshpande, A. Estimating premature mortality attributable to PM2.5 exposure and bene_t of air pollution control policies in China for 2020", Science of the Total Environment, 612, pp. 683{693 (2018). 35. Laitinen, E.K. A dynamic performance measurement system: evidence from small Finnish technology companies", Scandinavian Journal of Management, 18, pp. 65{99 (2002). 36. Urpelainen, J. Export orientation and domestic electricity generation: E_ects on energy e_ciency innovation in select sectors", Energy Policy, 39(9), pp. 5638{ 5646 (2011). 37. Bai, J. and Li, J. Regional innovation e_ciency in China: The role of local government", Innovation: Management, Policy & Practice, 13(2), pp. 142{153 (2011). 38. Chen, K. and Guan, J. Two-stage innovation e_- ciency of new energy enterprises in China: A nonradial DEA approach", Regional Studies, 46, pp. 341{ 355 (2012). 39. Bai, J. On regional innovation e_ciency: Evidence from panel data of China's di_erent provinces", Cambridge, 47(5), pp. 773{776 (2013). 40. Moon, H.S. The relative e_ciency analysis of innovation activities with uncertainty: The case of Korean electronic equipment industry", Innovation: Management, Policy & Practice, 15(3), pp. 305{314 (2013). 41. Chen, J. and Meng, L. Research on technological innovation e_ciency of China's high-tech industry based on network SBM model and DEA window analysis", Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), Springer Berlin Heidelberg (2014). Y. Li et al./Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 956{969 969 42. Chen, K. and Kou, M. State of an innovation system: theoretical and empirical advance towards an innovation e_ciency index", The Annals of Regional Science, 52(2), pp. 627{657 (2014). 43. Suh, Y. and Kim, M.S. State of an innovation system: Theoretical and empirical advance towards an innovation e_ciency index", International Journal of Services Technology and Management, 20(4{6), pp. 267{289 (2015). 44. Wan, L., Luo, B., Li, T., Wang, Sh., and Liang, L. E_ects of technological innovation on eco-e_ciency of industrial enterprises in China", Nankai Business Review International, 6(3), pp. 226{239 (2015). 45. Kou, M., Chen, K., and Wang, S. Measuring ef- _ciencies of multi-period and multi-division systems associated with DEA: An application to OECD countries' national innovation systems", Expert Systems with Applications, 46, pp. 494{510 (2016). 46. Huang, D., Lu, D., and Luo, J.H. Corporate innovation and innovation e_ciency: does religion matter?", Nankai Business Review International, 7(2), pp. 150{ 191 (2016). 47. Greco, M., Grimaldi, M., and Cricelli, L. Hitting the nail on the head: Exploring the relationship between public subsidies and open innovation e_ciency", Technological Forecasting and Social Change, 118, pp. 213{ 225 (2017). 48. Chen, W. and Lei, Y. The impacts of renewable energy and technological innovation on environmentenergy- growth nexus: New evidence from a panel quantile regression", Renewable Energy, 123, pp. 1{ 14 (2018). 49. Tone, K. Resampling in DEA", GRIPS Discussion Paper, National Graduate Institute for Policy Studies, pp. 13{23 (2013). 50. Tone, K. and Tsutsui, M. Dynamic DEA: A slacksbased measure approach", Omega, 38, pp. 145{156 (2010). 51. Simar, L. and Wilson, P.W. Sensitivity analysis of e_ciency scores: How to bootstrap in nonparametric frontier models", Management Science, 44(1), pp. 49{ 61 (1998). 52. Simar, L. and Wilson, P.W. A General methodology for bootstrapping in non-parametric frontier models", Journal of Applied Statistics, 27(6), pp. 779{802 (2000). 53. Tziogkidis, P. Bootstrap DEA and hypothesis testing", Cardi_ Economics Working Papers, No. E2012/18 (2012). 54. Charnes, A., Cooper, W.W., and Rhodes, E. Measuring the e_ciency of decision making units", European Journal of Operational Research, 2(6), pp. 429{444 (1978). 55. Banker, R.D., Charnes, A., and Cooper, W.W. Some models for estimating technical and scale ine_ciencies in data envelopment analysis", Management Science, 30(9), pp. 1078{1092 (1984). 56. Tone, K. A slacks-based measure of e_ciency in data envelopment analysis", European Journal of Operational Research, 130, pp. 498{509 (2001).
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