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  • Open Access

    ARTICLE

    Analysis of Driving Factors of Natural Gas Consumption in China: Based on Regional Integration and LMDI Method

    Huiwen Xu*, Zhen Wang

    Energy Engineering, Vol.118, No.4, pp. 1027-1043, 2021, DOI:10.32604/EE.2021.015028 - 31 May 2021

    Abstract In recent years, China has developed rapidly in terms of natural gas. Driven by regional economic integration, a regional natural gas market composed of neighboring provinces and cities has taken shape gradually, and it tends to grow toward the same direction in policy formulation, resource coordination, facility construction and market expansion. Based on the factors such as geographical location, economic conditions and natural gas consumption, this thesis tends to conduct a horizontal comparative analysis on the economic development conditions, natural gas consumption characteristics and natural gas pipeline network density of the three regions with obvious… More >

  • Open Access

    ARTICLE

    Factor Decomposition and Regression Analysis of the Energy Related Carbon Emissions in Shandong, China: A Perspective of Industrial Structure

    Weifeng Gong1,2, Baoqing Zhu3, Chuanhui Wang1,*, Zhenyue Fan1, Mengzhen Zhao1, Liang Chen4

    Energy Engineering, Vol.118, No.4, pp. 981-994, 2021, DOI:10.32604/EE.2021.014554 - 31 May 2021

    Abstract An in-depth study of the energy related carbon emissions has important practical significance for carbon emissions reduction and structural adjustment in Shandong Province and throughout China. Based on the perspective of industrial structure, the expanded KAYA equation to measure the energy related carbon emissions of the primary industries (Resources and Agriculture) and secondary industries (Manufacturing and Construction) and tertiary industries (Retail and Service) was utilized in Shandong Province from 2011 to 2017. The carbon emissions among industries in Shandong Province were empirically analyzed using the Logarithmic Mean Divisia Index decomposition approach. The results were follows:… More >

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