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A panel co-integration analysis for economic development, energy consumption, urbanization, and carbon dioxide emissions in China's six provinces

机译:面板协整分析,用于中国六个省的经济发展,能源消耗,城市化和二氧化碳排放

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摘要

Urban planning and energy consumption management gradually play an increasingly significant role in carbon dioxide (CO2) emissions reduction. However, the current studies related to the nexus among them are insufficient, which need to be explored. This article focuses on quantifying the nexus among CO2 emissions, economic development, energy consumption, and urbanization according to data collected from top six provinces (Shanxi, Shaanxi, Shandong, Hebei, Jiangsu, and Inner Mongolia) of CO2 emissions in China between 1997 and 2015 using multi-variate panel data model (PDM). According to the coefficients in PDM, the energy consumption of Shanxi, Inner Mongolia, Hebei, and Shaanxi make the greatest contribution to CO2 emissions and the economic development of Jiangsu and Shandong are deemed as the greatest contributor to CO2 emissions. The Granger causality results illustrate a bi-directional causality exists between economic progress and CO2 emissions and between energy consumption and CO2 emissions for six provinces. Finally, the pathways to handle with the contradictions between economic development and CO2 mitigation of top six provinces are proposed, namely decreasing fossil fuels based energy consumption, giving impetus to renewable energy development, exploring a new evaluation system to judge low carbon economy progress, and increasing investment on equipments to improve energy efficiency.
机译:城市规划和能源消耗管理在减少二氧化碳排放方面逐渐发挥着越来越重要的作用。但是,目前与它们之间的联系有关的研究还不够,需要探索。本文根据从1997年至2006年间中国六大CO2排放量最大的省(山西,陕西,山东,河北,江苏和内蒙古)收集的数据,着重量化CO2排放,经济发展,能源消耗和城市化之间的关系。 2015年使用多变量面板数据模型(PDM)。根据PDM中的系数,山西,内蒙古,河北和陕西的能源消耗对CO2排放的贡献最大,而江苏和山东的经济发展被认为是CO2排放的最大贡献者。格兰杰因果关系结果表明,六个省的经济进步与二氧化碳排放之间,能源消耗与二氧化碳排放之间存在双向因果关系。最后,提出了解决经济发展与减排前六省之间矛盾的途径,即减少基于化石燃料的能源消耗,推动可再生能源的发展,探索一种新的评估体系来判断低碳经济的进展,以及增加设备投资以提高能源效率。

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