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Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces

    • Beijing Institute of Technology
    • University of Cologne

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Since China's opening up and reform began in the late 1970s, China's economy has taken off with a rapid increase in energy consumption. However, due to the significant differences in economic and social development across regions, the patterns and characteristics of energy consumption in different Chinese provinces vary remarkably. In this study, the relationship between energy consumption per capita and GDP per capita is examined for all of the 30 individual Chinese provinces. To address the possible non-stationary time series for individual provinces, the autoregressive distributed lag (ARDL) modeling approach is utilized. The estimation results indicate that the relationships between energy consumption per capita and GDP per capita are quite different across provinces. Although, for most provinces, the relationship is linear and no turning point of energy consumption per capita is detected, for some provinces, the relationship is estimated to be “inverted-U” or “inverted-N” shaped, suggesting the existence of the peak of energy consumption per capita in these provinces. Furthermore, it is also found that the secondary industry plays an important role in energy consumption per capita.

    Original languageEnglish
    Pages (from-to)527-543
    Number of pages17
    JournalEnergy
    Volume150
    DOIs
    Publication statusPublished - 1 May 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
    2. SDG 8 - Decent Work and Economic Growth
      SDG 8 Decent Work and Economic Growth

    Keywords

    • ARDL
    • Chinese provinces
    • Energy consumption per capita
    • GDP per capita

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