Adom, P. K. (2015). Asymmetric impacts of the determinants of energy intensity in Nigeria. Energy Economics, 49, 570-580.
Chen, X. (1994). Substitution of information for energy: conceptual background, realities and limits. Energy policy, 22(1), 15-27.
Cho, Y., Lee, J., and Kim, T. Y. (2007). The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach. Energy Policy, 35(9), 4730-4738.
Collard, F., Fève, P., and Portier, F. (2005). Electricity consumption and ICT in the French service sector. Energy Economics, 27(3), 541-550.
Danilov, D., and Magnus, J. R. (2004). On the harm that ignoring pretesting can cause. Journal of Econometrics, 122(1), 27-46.
Daryaei, A. A., Bajelan, A. A., and Khodayeki, M. (2019). The Impact of Stocks Traded- Total Value, Foreign Direct Investment, Number of Students and Fossil Fuel Energy Consumption on NO2 Emissions in Iran. Environmental Energy and Economic Research, 3(4), 335-348.
De Luca, G., and Magnus, J. R. (2011). Bayesian model averaging and weighted-average least squares: Equivariance, stability, and numerical issues. The Stata Journal, 11(4), 518-544.
Draper, D. (1995). Assessment and propagation of model uncertainty. Journal of the Royal Statistical Society. Series B (Methodological), 45-97.
Farajzadeh, Z., and Nematollahi, M. A.(2018). Energy intensity and its components in Iran: Determinants and trends. Energy Economics, 73, 161-177.
Gelman, A., and Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge university press.
Goldstein, H. (2011). Multilevel statistical models (Vol. 922). John Wiley and Sons.
Grossman, G. M., and Helpman, E. (1991). Innovation and growth in the global economy. MIT press.
Guang, F., He, Y., Wen, L., and Sharp, B. (2019). Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis. Energy, 180, 989-1000.
Heidari, H., Babaei Balderlou, S., and Ebrahimi Torki, M. (2016). Energy Intensity of GDP: A Nonlinear Estimation of Determinants in Iran.
Herrerias, M. J., Cuadros, A., and Orts, V. (2013). Energy intensity and investment ownership across Chinese provinces. Energy Economics, 36, 286-298.
IDI (2017), Retrieved from: Measuring the Information Society Report 2017- ITU
Irawan, T., Hartono, D., and Achsani, N. A. (2010). An analysis of energy intensity in Indonesian manufacturing. Working Paper in Economics and Development Studies, No. 201007.
Ishida, H. (2015). The effect of ICT development on economic growth and energy consumption in Japan. Telematics and Informatics, 32(1), 79-88.
Jones, D. W. (1991). How urbanization affects energy-use in developing countries. Energy Policy, 19(7), 621-630.
Kleijweg, A., Huigen, R., van Leeuwen, G., and Zeelenberg, K. (1990). Firm size and the demand for energy in Dutch manufacturing, 1978–1986. Small Business Economics, 2(3), 171-181.
Li, Y., Sun, L., Feng, T., and Zhu, C. (2013). How to reduce energy intensity in China: A regional comparison perspective. Energy Policy, 61, 513-522.
Lindsey, C., and Sheather, S. (2010). Variable selection in linear regression. Stata Journal, 10(4), 650.
Machado, A. C., and Miller, R. E. (1997). Empirical relationships between the energy and information segments of the US economy: An input-output approach. Energy policy, 25(11), 913-921.
Magnus, J. R., and Durbin, J. (1999). Estimation of regression coefficients of interest when other regression coefficients are of no interest. Econometrica, 67(3), 639-643.
Magnus, J. R., Powell, O., and Prüfer, P. (2010). A comparison of two model averaging techniques with an application to growth empirics. Journal of Econometrics, 154(2), 139-153.
Mrabet, Z., Alsamara, M., Saleh, A. S., and Anwar, S. (2019). Urbanization and non-renewable energy demand: A comparison of developed and emerging countries. Energy, 170, 832-839.
Mulder, P., de Groot, H. L., and Pfeiffer, B. (2014). Dynamics and determinants of energy intensity in the service sector: A cross-country analysis, 1980–2005. Ecological Economics, 100, 1-15.
National Productivity Organization of Iran. (2015). Study of energy intensity and energy efficiency index in the world. Available at: http://nipo.gov.ir
Noorollahi, Y., Taghipoor, S., and Sadrnejad, A. (2019). Geothermal Energy for Natural Gas Compressor Stations; an Environmental and Economical Assessment. Environmental Energy and Economic Research, 3(4), 261-277.
Organization of the Ministry of Information and Communication Technology of Iran. (2017). Investigating the status of the provinces of Iran from the perspective of the IDI index until the end of 2016. Available at: https://www.ict.gov.ir
Papadogonas, T., Mylonakis, J., and Georgopoulos, D. (2007). Energy consumption and firm characteristics in the Hellenic manufacturing sector. International journal of energy technology and policy, 5(1), 89-96.
Park, Y., Meng, F., and Baloch, M. A. (2018). The effect of ICT, financial development, growth, and trade openness on CO 2 emissions: an empirical analysis. Environmental Science and Pollution Research, 25(30), 30708-30719.
Sadorsky, P. (2012). Information communication technology and electricity consumption in emerging economies. Energy Policy, 48, 130-136.
Sajjad, S. H., Blond, N., Clappier, A., Raza, A., Shirazi, S. A., and Shakrullah, K. (2010). The preliminary study of urbanization, fossil fuels consumptions and co 2 emission in Karachi. African Journal of Biotechnology, 9(13), 1941-1948.
Song, F., and Zheng, X. (2012). What drives the change in China's energy intensity: combining decomposition analysis and econometric analysis at the provincial level. Energy policy, 51, 445-453.
Takase, K., and Murota, Y. (2004). The impact of IT investment on energy: Japan and US comparison in 2010. Energy Policy, 32(11), 1291-1301.
Wu, Y. (2012). Energy intensity and its determinants in China's regional economies. Energy Policy, 41, 703-711.
Yu, H. (2012). The influential factors of China's regional energy intensity and its spatial linkages: 1988–2007. Energy Policy, 45, 583-593.
Yuxiang, K., and Chen, Z. (2010). Government expenditure and energy intensity in China. Energy Policy, 38(2), 691-694.
Zhang, D., Cao, H., and Wei, Y. M. (2016). Identifying the determinants of energy intensity in China: A Bayesian averaging approach. Applied Energy, 168, 672-682.
Zhou, X., Zhou, D., and Wang, Q. (2018). How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis. Energy, 151, 748-759.