• Logistic Curve Hypothesis and Verification of Economic Development and Cumulative Carbon Emissions
    ID:441 Submission ID:390 View Protection:ATTENDEE Updated Time:2022-05-18 09:09:55 Hits:337 Oral Presentation

    Start Time:2022-05-27 15:00 (Asia/Shanghai)

    Duration:20min

    Session:[S3] Energy and Sustainable Green Development [S3-3.3] Energy and Sustainable Green Development-3.3

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    Abstract
    ABSTRACT: Since the industrial revolution, human beings have created huge wealth and caused unprecedented climate change, which has seriously restricted the sustainable development of society. The Chinese government has solemnly promised to achieve the dual-carbon goal. Through literature review, practical judgment and theoretical analysis, this paper believes that in the whole process of economic development, the dependence of economic development on carbon emissions first increases and then gradually decreases. Based on this, a new research hypothesis is proposed : there is a Logistic curve relationship between economic development and cumulative carbon emissions. This paper selects GDP and time as two indicators to measure the stage of economic development, and conducts empirical analysis based on panel data such as GDP, time and consumption of major energy products at the provincial level in China. The results show that : from 1995 to 2019, with the continuous development of economy, the cumulative carbon emissions in China ' s provincial scale show an obvious Logistic growth law in time series, which is also related to the long-term implementation of goal-oriented macro-control in terms of economic growth and carbon emission limitation by the Chinese government. In addition, this paper contributes a method to grasp the inflection point of carbon peak and predict future total carbon emissions.
     
    Keywords
    economic development, cumulative carbon emissions, carbon peak and carbon neutralization, time series, logistic growth model
    Speaker
    Jiangquan Chen
    China University of Mining and Technology

    Submission Author
    姜全 陳 中國礦業大學
    效順 李 中國礦業大學
    越 馬 中國礦業大學
    玉清 梁 中國礦業大學
    憶婷 吳 中國礦業大學
    蕊 石 中國礦業大學
    文琪 耿 中國礦業大學
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