- Arabmazar, A., & Khosravi, A. (2018). Industrial Energy Productivity Disparities by Iran Provinces. Quarterly Journal of Energy Policy and Planning Research, 4(10), 41-66. (In persian)
- Bhadbhade, N., Yilmaz, S., Zuberi, J. S., Eichhammer, W., & Patel, M. K. (2020). The evolution of energy efficiency in Switzerland in the period 2000–2016. Energy, 191, 116526.
- Brülhart, M., & Mathys, N. A. (2008). Sectoral agglomeration economies in a panel of European regions. Regional Science and Urban Economics, 38(4), 348-362.
- Chen, C., Huang, J., Chang, H., & Lei, H. (2019). The effects of indigenous R&D activities on China's energy intensity: A regional perspective. Science of The Total Environment, 689, 1066-1078.
- Chen, D., Chen, S., & Jin, H. (2018). Industrial agglomeration and CO2 emissions: Evidence from 187 Chinese prefecture-level cities over 2005–2013. Journal of cleaner production, 172, 993-1003.
- Dong, K., Sun, R., Hochman, G., & Li, H. (2018). Energy intensity and energy conservation potential in China: a regional comparison perspective. Energy, 155, 782-795.
- Ebadi Z, hosseinpour F, hallafi H, saeidi N. (2018). Investigating the Effect of Oil and Gas Resources Abundance on Energy Efficiency in Rentier States. Quarterly Energy Economics Review. 14 (57) :201-234. (In Persian).
- Fathi, B., Khodaparast, M., Homayonifar, M., & Sajjadifar, H. (2019). Presentation of Energy Efficiency Model in Iranian Economy Using Dynamic Optimization Approach. Quarterly Journal of Applied Economics Studies in Iran (AESI), 8(29), 97-121 (In Persian).
- Goli, Y., & Safari, M. (2016). Estimation of Energy Efficiency and Factor Affecting on it’s in Iran Province (Tobit approach), Economic Research Journal of Rahbord, 5(17), 107-127 (In Persian).
- He, Y., Liao, N., & Zhou, Y. (2018). Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN. Energy, 142, 79-89.
- Kafaie, M., & khosravi, A. (2016). Energy efficiency in Iran’s provincial with stochastic frontier production function method. Quarterly Energy Economics Review, 12(50), 101-128 (In Persian).
- Kafaie, M., & Nejadaghaeianvash, P. (2016). Estimation and Comparison of Energy Efficiency in Iran’s Economic Sectors. Journal of Economics and Modeling, 7(27), 97-122 (In Persian).
- Kafaie, S.M.A., & Nejadaghaeianvash, P. (2017). Identifying the Factors that Effect Sectoral Energy Efficiency in the Iranian Economy. Quarterly Energy Economics Review, 13 (52),1-34 (In Persian).
- Kaldor, N. (1966). Causes of the slow rate of economic growth of the United Kingdom: an inaugural lecture. Cambridge University Press.
- Karimi Takanlo, Z., Sadeghi, K., porabdollahian, M., & Mousavian, M. (2017). An Appraisal of Spatial club convergence of Iran’s province-level industrial energy efficiency. Quarterly Energy Economics Review. 12 (51) :151-179 (In Persian).
- Kopidou, D., Tsakanikas, A., & Diakoulaki, D. (2016). Common trends and drivers of CO2 emissions and employment: a decomposition analysis in the industrial sector of selected European Union countries. Journal of Cleaner Production, 112, 4159-4172.
- Krugman, P. (1991). Increasing returns and economic geography. Journal of political economy, 99(3), 483-499.
- Li, H., & Shi, J. F. (2014). Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs. Journal of cleaner production, 65, 97-107.
- Li, M. J., He, Y. L., & Tao, W. Q. (2017). Modeling a hybrid methodology for evaluating and forecasting regional energy efficiency in China. Applied Energy, 185, 1769-1777.
- Lin, B., & Long, H. (2015). A stochastic frontier analysis of energy efficiency of China's chemical industry. Journal of Cleaner Production, 87, 235-244.
- Lin, B., & Wang, X. (2014). Exploring energy efficiency in China׳ s iron and steel industry: A stochastic frontier approach. Energy Policy, 72, 87-96.
- Lin, B., & Yang, L. (2013). The potential estimation and factor analysis of China′ s energy conservation on thermal power industry. Energy Policy, 62, 354-362.
- Liu, J., Cheng, Z., & Zhang, H. (2017). Does industrial agglomeration promote the increase of energy efficiency in China? Journal of Cleaner Production, 164, 30-37.
- Liu, W., & Lin, B. (2018). Analysis of energy efficiency and its influencing factors in China's transport sector. Journal of Cleaner Production, 170, 674-682.
- Mahmoudzadeh, M., Sadeghi, S., & Sadeghi, S. (2013). The investigating of industries Characteristic on Energy Intensity in Iranian Producing Industries. Journal of Economics and Modeling, 3(11-12), 174-191.(in Persian)
- Mehrabi, S., & davoodi, S.M.R. (2019). Prediction of Efficiency and Factors Affecting Energy Use in the Framework of a Dynamics Model System: A Case Study of Mostazafan Foundation Owned Petrochemical Companies. Quarterly Energy Economics Review, 14(59), 185-211.
- Mehregan, N., Fotros, M.H., Gholizadeh, A.A., & Teymourei, Y. (2016). Estimating Spatial Concentration of Industry and Effective Factors on It Between Provinces of Iran. Journal of Economic Modeling Research, 6 (24),7-40. (In Persian).
- Metcalf, G.E. (2008). an empirical analysis of energy intensity and its determinants at the state level, Energy Journal, 29(3), 1-26.
- Nazemi, A., Karimi, F., Mamipoor, S., & Feshari, M.(2019). Energy Efficiency in Iran Provinces: DEA Approach. Quarterly Journal of Energy Policy and Planning Research, 5(14), 103-142.
- Otsuka, A., & Goto, M. (2015). Estimation and determinants of energy efficiency in Japanese regional economies. Regional Science Policy & Practice, 7(2), 89-101.
- Ouyang, X., Wei, X., Sun, C., & Du, G. (2018). Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China. Energy policy, 118, 573-583.
- ShahabiNejad, V. (2016). Comparative analysis of the energy efficiency of Iran province's large industries using data envelopment analysis in the period 2008-2011. Journal of Applied Economics Studies in Iran, 4(16), 157-178. (in Persian).
- Shahabinejad, V. (2016). Measuring Total-factor energy efficiency and energy saving potential in Asian economies: application of Stochastic Frontier Analysis. Quarterly Energy Economics Review. 12 (49), 201-224. (In Persian).
- Shahnazi, R., & dehghan shabani, Z. (2016). Effects of Transportation Infrustructure on Industrial Activities Concentration in Iranian Provinces, Journal of Economic Research, 51(4), 887-908. (In Persian).
- Shen, N., Zhao, Y., & Wang, Q. (2018). Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data. Sustainability, 10(6), 2002.
- Wang, H. N., & Chen, Y. Y. (2010). Industrial Agglomeration and Industrial Energy Efficiency: Empirical Analyses Based on 25 Industries in China [J]. Journal of Finance and Economics, 9, 69-79.
- Wang, J. M., Shi, Y. F., & Zhang, J. (2017). Energy efficiency and influencing factors analysis on Beijing industrial sectors. Journal of Cleaner Production, 167, 653-664.
- Wang, J., & Zhao, T. (2017). Regional energy-environmental performance and investment strategy for China's non-ferrous metals industry: a non-radial DEA based analysis. Journal of cleaner production, 163, 187-201.
- Wang, J.M., Shi, Y. F., & Zhang, J. (2017). Energy efficiency and influencing factors analysis on Beijing industrial sectors. Journal of Cleaner Production, 167, 653-664.
- Xiaoli, Z., Rui, Y., & Qian, M. (2014). China's total factor energy efficiency of provincial industrial sectors. Energy, 65, 52-61.
- Xie, C., Bai, M., & Wang, X. (2018). Accessing provincial energy efficiencies in China’s transport sector. Energy Policy, 123, 525-532.
- Xiong, S., Ma, X., & Ji, J. (2019). The impact of industrial structure efficiency on provincial industrial energy efficiency in China. Journal of cleaner production, 215, 952-962.
- Zhang, N., Zhou, P., & Choi, Y. (2013). Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance function analysis. Energy Policy, 56, 653-662.
- Zhao, H., & Lin, B. (2019). Will agglomeration improve the energy efficiency in China’s textile industry: Evidence and policy implications? Applied energy, 237, 326-337.
- Zheng, Q., & Lin, B. (2018). Impact of industrial agglomeration on energy efficiency in China’s paper industry. Journal of cleaner production, 184, 1072-1080.
- Zhou, P., Ang, B.W., & Zhou, D.Q. (2012). Measuring economy-wide energy efficiency performance: a parametric frontier approach. Applied Energy, 90(1), 196-200.