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An evaluation of technical progress and energy rebound effects in China's iron & steel industry

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  • Wang, Xiaolei
  • Wen, Xiaohui
  • Xie, Chunping

Abstract

As a pillar industry in China, the iron & steel sector have under through rapid growth and technical progress for decades. However, energy polices aiming at energy savings may not be as good as expected due to the existence of rebound effects. The motivation of the paper is to analysis the nexus between technical progress and energy rebound effects. Based on a three-input trans-log cost function model, we first estimate the share equation and the corresponding price elasticity for each input factor. Then, the rebound effect in China's iron & steel industry over 1985–2015 is evaluated through decomposing the energy prices. Empirical results show that: (1) The price elasticities of input factors are negative; (2) Energy/capital and energy/labor show substitute relationships; (3) The average energy rebound effect in the ISI is as high as 73.88%; (4) The energy rebound effect shows a downward trend before the 11th Five-year period and then an upward trend after that. Therefore, policies proposals of lowering the rebound effect should be placed not only on technical progress, but also on energy price reform by reducing energy subsidies and thus accelerating energy price marketization, so as to promote energy substitution, reduce energy rebound effect and produce further economic and environmental benefits.

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  • Wang, Xiaolei & Wen, Xiaohui & Xie, Chunping, 2018. "An evaluation of technical progress and energy rebound effects in China's iron & steel industry," Energy Policy, Elsevier, vol. 123(C), pages 259-265.
    • Handle: RePEc:eee:enepol:v:123:y:2018:i:c:p:259-265
    DOI: 10.1016/j.enpol.2018.08.016
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    as
    1. J. Daniel Khazzoom, 1987. "Energy Saving Resulting from the Adoption of More Efficient Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 85-89.
    2. Wang, Zhaohua & Lu, Milin & Wang, Jian-Cai, 2014. "Direct rebound effect on urban residential electricity use: An empirical study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 124-132.
    3. Napp, T.A. & Gambhir, A. & Hills, T.P. & Florin, N. & Fennell, P.S, 2014. "A review of the technologies, economics and policy instruments for decarbonising energy-intensive manufacturing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 616-640.
    4. Nesbakken, Runa, 2001. " Energy Consumption for Space Heating: A Discrete-Continuous Approach," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(1), pages 165-184, March.
    5. Zhang, Kuangyuan & Kleit, Andrew N. & Nieto, Antonio, 2017. "An economics strategy for criticality – Application to rare earth element Yttrium in new lighting technology and its sustainable availability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 899-915.
    6. Bentzen, Jan, 2004. "Estimating the rebound effect in US manufacturing energy consumption," Energy Economics, Elsevier, vol. 26(1), pages 123-134, January.
    7. Roy, Joyashree, 2000. "The rebound effect: some empirical evidence from India," Energy Policy, Elsevier, vol. 28(6-7), pages 433-438, June.
    8. Yang, Lisha & Li, Jianglong, 2017. "Rebound effect in China: Evidence from the power generation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 53-62.
    9. Jin, Sang-Hyeon, 2007. "The effectiveness of energy efficiency improvement in a developing country: Rebound effect of residential electricity use in South Korea," Energy Policy, Elsevier, vol. 35(11), pages 5622-5629, November.
    10. Lin, Boqiang & Liu, Xia, 2012. "Dilemma between economic development and energy conservation: Energy rebound effect in China," Energy, Elsevier, vol. 45(1), pages 867-873.
    11. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    12. Wei, Taoyuan, 2010. "A general equilibrium view of global rebound effects," Energy Economics, Elsevier, vol. 32(3), pages 661-672, May.
    13. Lin, Boqiang & Li, Jianglong, 2014. "The rebound effect for heavy industry: Empirical evidence from China," Energy Policy, Elsevier, vol. 74(C), pages 589-599.
    14. Allan, Grant & Hanley, Nick & McGregor, Peter & Swales, Kim & Turner, Karen, 2007. "The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom," Energy Economics, Elsevier, vol. 29(4), pages 779-798, July.
    15. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    16. Hymel, Kent M. & Small, Kenneth A. & Dender, Kurt Van, 2010. "Induced demand and rebound effects in road transport," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1220-1241, December.
    17. Freire-González, Jaume, 2017. "Evidence of direct and indirect rebound effect in households in EU-27 countries," Energy Policy, Elsevier, vol. 102(C), pages 270-276.
    18. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    19. Grubb, M. J., 1990. "Communication Energy efficiency and economic fallacies," Energy Policy, Elsevier, vol. 18(8), pages 783-785, October.
    20. David L. Greene, 1992. "Vehicle Use and Fuel Economy: How Big is the "Rebound" Effect?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 117-144.
    21. Ghosh, Neal K. & Blackhurst, Michael F., 2014. "Energy savings and the rebound effect with multiple energy services and efficiency correlation," Ecological Economics, Elsevier, vol. 105(C), pages 55-66.
    22. Lin, Boqiang & Xie, Chunping, 2013. "Estimation on oil demand and oil saving potential of China's road transport sector," Energy Policy, Elsevier, vol. 61(C), pages 472-482.
    23. Lin, Boqiang & Zhao, Hongli, 2016. "Technological progress and energy rebound effect in China׳s textile industry: Evidence and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 173-181.
    24. Yu, Xuewei & Moreno-Cruz, Juan & Crittenden, John C., 2015. "Regional energy rebound effect: The impact of economy-wide and sector level energy efficiency improvement in Georgia, USA," Energy Policy, Elsevier, vol. 87(C), pages 250-259.
    25. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    26. Xie, Chunping & Hong, Yan & Ding, Yulong & Li, Yongliang & Radcliffe, Jonathan, 2018. "An economic feasibility assessment of decoupled energy storage in the UK: With liquid air energy storage as a case study," Applied Energy, Elsevier, vol. 225(C), pages 244-257.
    27. Cho, Won G. & Nam, Kiseok & Pagan, Jose A., 2004. "Economic growth and interfactor/interfuel substitution in Korea," Energy Economics, Elsevier, vol. 26(1), pages 31-50, January.
    28. Dermot Gately & Hiliard G. Huntington, 2002. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-55.
    29. Adofo, Yaw Osei & Evans, Joanne & Hunt, Lester Charles, 2013. "How sensitive to time period sampling is the asymmetric price response specification in energy demand modelling?," Energy Economics, Elsevier, vol. 40(C), pages 90-109.
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