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Estimating direct and indirect rebound effects by supply-driven input-output model: A case study of Taiwan's industry

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  • Wu, Kuei-Yen
  • Wu, Jung-Hua
  • Huang, Yun-Hsun
  • Fu, Szu-Chi
  • Chen, Chia-Yon

Abstract

Most existing literature focuses on the direct rebound effect on the demand side for consumers. This study analyses direct and indirect rebound effects in Taiwan's industry from the perspective of producers. However, most studies on the producers' viewpoint may overlook inter-industry linkages. This study applies a supply-driven input-output model to quantify the magnitude of rebound effects by explicitly considering inter-industry linkages.

Suggested Citation

  • Wu, Kuei-Yen & Wu, Jung-Hua & Huang, Yun-Hsun & Fu, Szu-Chi & Chen, Chia-Yon, 2016. "Estimating direct and indirect rebound effects by supply-driven input-output model: A case study of Taiwan's industry," Energy, Elsevier, vol. 115(P1), pages 904-913.
  • Handle: RePEc:eee:energy:v:115:y:2016:i:p1:p:904-913
    DOI: 10.1016/j.energy.2016.09.040
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    2. Braun, Anja T. & Kleine-Möllhoff, Peter & Reichenberger, Volker & Seiter, Stephan, 2018. "Survey concerning enablers for material efficiency activities in manufacturing, their supply chains and the transformation towards circular economy," Reutlingen Working Papers on Marketing & Management 2018-3, Reutlingen University, ESB Business School.
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    4. Qingsong Wang & Zhenlei Gao & Hongrui Tang & Xueliang Yuan & Jian Zuo, 2018. "Exploring the Direct Rebound Effect of Energy Consumption: A Case Study," Sustainability, MDPI, vol. 10(1), pages 1-21, January.
    5. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    6. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2020. "A review of optimal energy policy instruments on industrial energy efficiency programs, rebound effects, and government policies," Energy Policy, Elsevier, vol. 139(C).
    7. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
    8. Safarzadeh, Soroush & Rasti-Barzoki, Morteza & Hejazi, Seyed Reza & Piran, Md Jalil, 2020. "A game theoretic approach for the duopoly pricing of energy-efficient appliances regarding innovation protection and social welfare," Energy, Elsevier, vol. 200(C).
    9. Rishan Adha & Cheng-Yih Hong, 2021. "How Large the Direct Rebound Effect for Residential Electricity Consumption When the Artificial Neural Network Takes on the Role? A Taiwan Case Study of Household Electricity Consumption," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 354-364.
    10. Kong, Li & Mu, Xianzhong & Hu, Guangwen & Tu, Chuang, 2023. "Will energy efficiency improvements reduce energy consumption? Perspective of rebound effect and evidence from beijing," Energy, Elsevier, vol. 263(PA).
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    13. Wu, X.D. & Guo, J.L. & Ji, Xi & Chen, G.Q., 2019. "Energy use in world economy from household-consumption-based perspective," Energy Policy, Elsevier, vol. 127(C), pages 287-298.

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