The convergence characteristics of China's carbon intensity: Evidence from a dynamic spatial panel approach

Junbing Huang, Chuanhui Liu, Shuxing Chen, Xin Huang, Yu Hao*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    74 Citations (Scopus)

    Abstract

    In recent years, China's CO 2 emissions have surged as the country's economy has expanded rapidly. Faced with mounting international and domestic pressures, China has made great efforts to curb CO 2 emissions. To formulate targeted regional reduction plans, the features and characters of provincial carbon intensity should be carefully evaluated. In this study, the existence of convergence in China's carbon intensity and possible technological factors that may influence the convergence, are carefully investigated by building a united framework and employing dynamic spatial panel approach. The estimation results verify that there is significant spatial correlation in China's provincial carbon intensity. There is also evidence that the three different types of convergence (i.e., stochastic convergence, σ-convergence and β-convergence) exist during the sample period of 2000–2016. Moreover, among the technological factors of conditional β-convergence, indigenous innovation activity is most critical. Not all foreign innovations stem from the inflow of foreign direct investment and trade exert a positive effect on carbon intensity reduction. Besides, it is estimated that the spatial spillovers effects from neighboring provinces are important to carbon intensity.

    Original languageEnglish
    Pages (from-to)685-695
    Number of pages11
    JournalScience of the Total Environment
    Volume668
    DOIs
    Publication statusPublished - 10 Jun 2019

    Keywords

    • Carbon intensity
    • Convergence
    • Dynamic spatial panel approach
    • Technological factors

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