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ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity

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  • Zheming Yan

    (International Business School, Shaanxi Normal University, Xi’an 710119, China)

  • Rui Shi

    (International Business School, Shaanxi Normal University, Xi’an 710119, China)

  • Zhiming Yang

    (Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

The information and communication technology (ICT) is closely related to the future of global energy consumption, not only because the ICT equipment itself increasingly consumes energy, but also because it is a general-purpose technology which may affect energy use of almost all sectors. Given the controversy over the net energy-saving effect of ICT, this paper focuses on a new perspective, i.e., energy productivity, to investigate the relationship between ICT development and energy consumption. Using a data panel of 50 economies over the period of 1995 to 2013, results of the Malmquist energy productivity index generally indicate an unbalanced development of energy productivity across the globe, while results of the patent-based ICT knowledge stock indicate a huge gap of ICT development comparing the high-income economies with the others. Furthermore, regression results indicate that ICT development is significantly related to energy productivity improvement. Finally, this paper suggests accelerating ICT development in underdeveloped economies, given the global common task of sustainable energy consumption.

Suggested Citation

  • Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2568-:d:159362
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    as
    1. Jesse M. Shapiro, 2006. "Smart Cities: Quality of Life, Productivity, and the Growth Effects of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 324-335, May.
    2. Botang Han & Dong Wang & Weina Ding & Lei Han, 2016. "Effect of information and communication technology on energy consumption in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 297-315, November.
    3. Verdolini, Elena & Galeotti, Marzio, 2011. "At home and abroad: An empirical analysis of innovation and diffusion in energy technologies," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 119-134, March.
    4. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    5. Yann Ménière & Antoine Dechezleprêtre & Matthieu Glachant & Ivan Hascic & N. Johnstone, 2011. "Invention and transfer of climate change mitigation technologies: a study drawing on patent data," Post-Print hal-00869795, HAL.
    6. Antoine Dechezleprêtre & Matthieu Glachant & Ivan Haščič & Nick Johnstone & Yann Ménière, 2011. "Invention and Transfer of Climate Change--Mitigation Technologies: A Global Analysis," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 109-130, Winter.
    7. Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001. "Is Free Trade Good for the Environment?," American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
    8. Faucheux, S. & Nicolaï, I., 2011. "IT for green and green IT: A proposed typology of eco-innovation," Ecological Economics, Elsevier, vol. 70(11), pages 2020-2027, September.
    9. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    10. Dasgupta, Shouro & De Cian, Enrica, 2016. "Institutions and the Environment: Existing Evidence and Future Directions," MITP: Mitigation, Innovation and Transformation Pathways 240747, Fondazione Eni Enrico Mattei (FEEM).
    11. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    12. Ivan Haščič & Jérôme Silva & Nick Johnstone, 2015. "The Use of Patent Statistics for International Comparisons and Analysis of Narrow Technological Fields," OECD Science, Technology and Industry Working Papers 2015/5, OECD Publishing.
    13. Gale A. Boyd, 2008. "Estimating Plant Level Energy Efficiency with a Stochastic Frontier," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-44.
    14. Antoine Dechezleprêtre & Matthieu Glachant, 2014. "Does Foreign Environmental Policy Influence Domestic Innovation? Evidence from the Wind Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(3), pages 391-413, July.
    15. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    16. David Popp, 2012. "The Role of Technological Change in Green Growth," NBER Working Papers 18506, National Bureau of Economic Research, Inc.
    17. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    18. repec:fth:harver:1473 is not listed on IDEAS
    19. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    20. Kais Saidi & Hassen Toumi & Saida Zaidi, 2017. "Impact of Information Communication Technology and Economic Growth on the Electricity Consumption: Empirical Evidence from 67 Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 789-803, September.
    21. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
    22. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    23. Sadorsky, Perry, 2012. "Information communication technology and electricity consumption in emerging economies," Energy Policy, Elsevier, vol. 48(C), pages 130-136.
    24. Laura Bottazzi & Giovanni Peri, 2007. "The International Dynamics of R&D and Innovation in the Long Run and in The Short Run," Economic Journal, Royal Economic Society, vol. 117(518), pages 486-511, March.
    25. Popp, David, 2012. "The role of technological change in green growth," Policy Research Working Paper Series 6239, The World Bank.
    26. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    27. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    28. Everaert, Gerdie & Pozzi, Lorenzo, 2007. "Bootstrap-based bias correction for dynamic panels," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1160-1184, April.
    29. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    30. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    31. Takase, Kae & Murota, Yasuhiro, 2004. "The impact of IT investment on energy: Japan and US comparison in 2010," Energy Policy, Elsevier, vol. 32(11), pages 1291-1301, July.
    32. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    33. Chang, Chun-Ping & Wen, Jun & Zheng, Mingbo & Dong, Minyi & Hao, Yu, 2018. "Is higher government efficiency conducive to improving energy use efficiency? Evidence from OECD countries," Economic Modelling, Elsevier, vol. 72(C), pages 65-77.
    34. Patrick Schulte & Heinz Welsch & Sascha Rexhäuser, 2016. "ICT and the Demand for Energy: Evidence from OECD Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(1), pages 119-146, January.
    35. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    36. Zhang, Chuanguo & Liu, Cong, 2015. "The impact of ICT industry on CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 12-19.
    37. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    38. Cho, Youngsang & Lee, Jongsu & Kim, Tai-Yoo, 2007. "The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach," Energy Policy, Elsevier, vol. 35(9), pages 4730-4738, September.
    39. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    40. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    41. Antoine Dechezleprêtre & Matthieu Glachant & Ivan Haščič & Nick Johnstone & Yann Ménière, 2011. "Invention and Transfer of Climate Change--Mitigation Technologies: A Global Analysis," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 109-130, Winter.
    42. Popp, David C., 2001. "The effect of new technology on energy consumption," Resource and Energy Economics, Elsevier, vol. 23(3), pages 215-239, July.
    43. Shahiduzzaman, Md. & Alam, Khorshed, 2014. "Information technology and its changing roles to economic growth and productivity in Australia," Telecommunications Policy, Elsevier, vol. 38(2), pages 125-135.
    44. Yan, Zheming & Du, Keru & Yang, Zhiming & Deng, Min, 2017. "Convergence or divergence? Understanding the global development trend of low-carbon technologies," Energy Policy, Elsevier, vol. 109(C), pages 499-509.
    45. Ivan Haščič & Mauro Migotto, 2015. "Measuring environmental innovation using patent data," OECD Environment Working Papers 89, OECD Publishing.
    46. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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