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Energy economics and climate policy modeling

Editor

Listed:
  • Zhimin Huang
  • Yiming Wei
  • Ke Wang
  • Hua Liao

Abstract

Climate change is one of the biggest medium to long term risks to global development, both in developing and developed countries, and it is predicted to have severe consequences across such sectors as ecosystems, agriculture, industry, commerce, residences, and transportation. The threat of global climate change has originated largely from the greenhouse gas emissions of developed countries, who have been emitting far more per capita than developing countries over the last two centuries. Therefore, developed countries are obliged to take the lead in fighting climate change. However developing countries, especially emerging economies like China, also face tremendous pressure on the limited remaining space for atmospheric carbon dioxide. The processes of economic growth and social development must be rendered more resilient to climate change. Developed countries have to reduce their emissions, and developing countries need to find a low carbon path to rapid growth that is different from the energy intensive and carbon intensive path of early growth in developed countries. All must avoid needless local and regional environmental damage, capture innovative sources of sustainable development, and take advantage of emerging energy technologies and climate financing opportunities, so as to build up a low carbon economy and a climate resilient society.

Suggested Citation

  • Zhimin Huang & Yiming Wei & Ke Wang & Hua Liao (ed.), 2017. "Energy economics and climate policy modeling," CEEP-BIT Books, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology, number b15, december.
  • Handle: RePEc:biw:bookli:b15
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    File URL: https://link.springer.com/journal/10479/255/1/page/1
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    Citations

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    Cited by:

    1. Xu Lei & Tang Shiyun & Deng Yanfei & Yuan Yuan, 2020. "Sustainable operation-oriented investment risk evaluation and optimization for renewable energy project: a case study of wind power in China," Annals of Operations Research, Springer, vol. 290(1), pages 223-241, July.
    2. Laura Laguna-Salvadó & Matthieu Lauras & Uche Okongwu & Tina Comes, 2019. "A multicriteria Master Planning DSS for a sustainable humanitarian supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 1303-1343, December.
    3. Han, Yongming & Lou, Xiaoyi & Feng, Mingfei & Geng, Zhiqiang & Chen, Liangchao & Ping, Weiying & Lu, Gang, 2022. "Energy consumption analysis and saving of buildings based on static and dynamic input-output models," Energy, Elsevier, vol. 239(PC).
    4. Chinnadurai Kathiravan & Murugesan Selvam & Sankaran Venkateswar & S. Balakrishnan, 2021. "Investor behavior and weather factors: evidences from Asian region," Annals of Operations Research, Springer, vol. 299(1), pages 349-373, April.
    5. Chenhao Fang & Tieju Ma, 2021. "Technology adoption with carbon emission trading mechanism: modeling with heterogeneous agents and uncertain carbon price," Annals of Operations Research, Springer, vol. 300(2), pages 577-600, May.

    More about this item

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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