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Energy and CO2 emissions efficiency of major economies: A network DEA approach

    • Beijing Institute of Technology

    Research output: Contribution to journal › Article › peer-review

    Abstract

    This study extends the analysis of energy and CO2 emissions efficiency of economies from the black box to a network structure analysis realizing the fact that each economy is a network of two divisions responsible for production and distribution of economic outputs. Hence, its economic and distributive efficiencies must be taken into account while analyzing the energy and CO2 emissions efficiency. In order to analyze energy and CO2 emissions efficiency of economies in terms of economic and distributive efficiencies simultaneously, we have innovatively applied network DEA model free link case under free disposability assumption for all undesirable outputs in both divisions of economies. The results are tantalizing as we have found that in aggregate 85% of energy consumption and 89% of CO2 emissions were just because of economic and distributive inefficiencies. Although none of the economies was overall efficient but a few were efficient in one of the two divisions. China was the largest user of excess energy because of economic inefficiency and the USA was the largest user of excess energy because of distributive inefficiency. We have suggested that inefficient economies not only need rightly directed taxation laws, incentives, and penalties but also need reforms in economic structures.

    Original languageEnglish
    Pages (from-to)197-207
    Number of pages11
    JournalEnergy
    Volume147
    DOIs
    Publication statusPublished - 15 Mar 2018

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • CO emissions efficiency
    • Distributive efficiency
    • Energy efficiency
    • Energy extravagance
    • Network DEA

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