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Effect of information and communication technology on energy consumption in China

Author

Listed:
  • Botang Han

    (Beijing Institute of Technology)

  • Dong Wang

    () (Beijing Institute of Technology)

  • Weina Ding

    (Beijing Institute of Technology)

  • Lei Han

    (Beijing Institute of Technology)

Abstract

Abstract Widespread controversy and a lack of empirical research exist with regard to the relationship between information communication technology (ICT) and energy consumption, especially in developing countries. This paper adopts a partial least square (PLS) method to explore the impact of ICT on energy consumption in China. Its main conclusions indicate that the impact can be represented by a U-shaped curve and the turning-point for ICT capital service is 10.93 units at 1990 constant prices. The negative effect of ICT was dominant until 2014. Moreover, the ARDL-ECM results also reveal a negative association between ICT and energy consumption in the short run. In addition, the influence of population, income, industrialization level, service sector development, energy price, energy consumption structure and non-ICT capital service on energy consumption is examined. Finally, policy recommendations are given.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:nathaz:v:84:y:2016:i:1:d:10.1007_s11069-016-2188-1
    DOI: 10.1007/s11069-016-2188-1
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    References listed on IDEAS

    as
    1. Shi, Anqing, 2003. "The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data," Ecological Economics, Elsevier, vol. 44(1), pages 29-42, February.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Jia, Junsong & Deng, Hongbing & Duan, Jing & Zhao, Jingzhu, 2009. "Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method--A case study in Henan Province, China," Ecological Economics, Elsevier, vol. 68(11), pages 2818-2824, September.
    5. Ronald Bernstein & Reinhard Madlener, 2010. "Impact of disaggregated ICT capital on electricity intensity in European manufacturing," Applied Economics Letters, Taylor & Francis Journals, vol. 17(17), pages 1691-1695.
    6. John HOUGHTON, 2009. "ICT and the Environment in Developing Countries: an Overview of Opportunities and Developments," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(76), pages 39-60, 4th quart.
    7. Sadorsky, Perry, 2012. "Information communication technology and electricity consumption in emerging economies," Energy Policy, Elsevier, vol. 48(C), pages 130-136.
    8. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    9. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    10. 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.
    11. Nawaz, Saima & Iqbal, Nasir & Anwar, Saba, 2014. "Modelling electricity demand using the STAR (Smooth Transition Auto-Regressive) model in Pakistan," Energy, Elsevier, vol. 78(C), pages 535-542.
    12. Haug, Alfred A, 2002. " Temporal Aggregation and the Power of Cointegration Tests: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 399-412, September.
    13. Walker, William, 1985. "Information technology and the use of energy," Energy Policy, Elsevier, vol. 13(5), pages 458-476, October.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Feng, Taiwen & Sun, Linyan & Zhang, Ying, 2009. "The relationship between energy consumption structure, economic structure and energy intensity in China," Energy Policy, Elsevier, vol. 37(12), pages 5475-5483, December.
    16. Collard, Fabrice & Feve, Patrick & Portier, Franck, 2005. "Electricity consumption and ICT in the French service sector," Energy Economics, Elsevier, vol. 27(3), pages 541-550, May.
    17. Hall, S G, 1986. "An Application of the Granger & Engle Two-Step Estimation Procedure to United Kingdom Aggregate Wage Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 229-239, August.
    18. Alice Shiu & Pun-Lee Lam, 2008. "Causal Relationship between Telecommunications and Economic Growth in China and its Regions," Regional Studies, Taylor & Francis Journals, vol. 42(5), pages 705-718.
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