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Energy-economic resilience with multi-region input–output linear programming models

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  • He, Peijun
  • Ng, Tsan Sheng
  • Su, Bin

Abstract

In this work we propose an input–output linear programming model to study the energy resilience of a multi-region economy that accounts for the inter-sectoral and inter-regional dependencies in the economic structure. The model computes the impacts of random energy production disruptions on the entire multi-region input–output system in the form of final demand deficits. We then propose a formulation to evaluate the energy resilience of the system based on computing the largest set of disruptions, or what is termed as resilience guarantee levels, that can be sustained by the system within given demand deficit budgets. A computational study is then performed using a 3-region-42-sector model based on China's 2012 multi-regional input–output table. The results show that regional trade barriers, coal-to-gas switch policies and technological efficiency of selected energy-intensive industries can influence China's energy resilience significantly. This can provide the policy-makers important guidance on improving energy resilience in a systematic manner.

Suggested Citation

  • He, Peijun & Ng, Tsan Sheng & Su, Bin, 2019. "Energy-economic resilience with multi-region input–output linear programming models," Energy Economics, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:eneeco:v:84:y:2019:i:c:s0140988319303640
    DOI: 10.1016/j.eneco.2019.104569
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    Cited by:

    1. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    2. Matsumoto, Ken'ichi & Matsumura, Yuko, 2022. "Challenges and economic effects of introducing renewable energy in a remote island: A case study of Tsushima Island, Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    3. Vasconcellos, H.A.S. & Caiado Couto, L., 2021. "Estimation of socioeconomic impacts of wind power projects in Brazil's Northeast region using Interregional Input-Output Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Kang, Jidong & Ng, Tsan Sheng & Su, Bin & Milovanoff, Alexandre, 2021. "Electrifying light-duty passenger transport for CO2 emissions reduction: A stochastic-robust input–output linear programming model," Energy Economics, Elsevier, vol. 104(C).

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