Journal of Geographical Sciences ›› 2022, Vol. 32 ›› Issue (3): 401-420.doi: 10.1007/s11442-022-1954-0

• Research Articles • Previous Articles     Next Articles

Dynamic features and driving mechanism of coal consumption for Guangdong province in China

WANG Changjian1,2(), WANG Fei3,*(), ZHANG Xinlin4, WANG Yang1, SU Yongxian1, YE Yuyao1, WU Qitao1, ZHANG Hong’ou1   

  1. 1. Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
    2. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 510070, China
    3. School of Resources and Planning, Guangzhou Xinhua University, Guangzhou 510520, China
    4. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China
  • Received:2020-12-13 Accepted:2021-10-18 Online:2022-03-25 Published:2022-05-25
  • Contact: WANG Fei;
  • About author:Wang Changjian (1986-), Associate Professor, specialized in economic geography and sustainability. E-mail:
  • Supported by:
    National Key Research and Development Program(2019YFB2103101);Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(GML2019ZD0301);GDAS Special Project of Science and Technology Development(2020GDASYL-20200102002);GDAS Special Project of Science and Technology Development(2020GDASYL-20200301003);National Natural Science Foundation of China(41501144)


Guangdong Province, as one of China’s fast-developing regions, an important manufacturing base, and one of the national first round low-carbon pilots, still faces many challenges in controlling its total energy consumption. Coal dominates Guangdong’s energy consumption and remains the major source of CO2. Previous research on factors influencing energy consumption has lacked a systematic analysis both from supply side (factors related to scale, structure, and technologies) and demand side (investment, consumption, and trade). This paper develops the logarithmic mean Divisia index (LMDI) method that focuses on the supply side and the structural decomposition analysis (SDA) method that focuses on the demand side to systematically identify the key factors driving coal consumption in Guangdong. Results are as follows: (1) Supply side analysis indicates that economic growth has always been the most important factor driving coal consumption growth, while energy intensity is the most important constraining factor. Industrial structure and energy structure have different impacts on coal consumption control during different development phases. (2) Demand side analysis indicates that coal is consumed mainly for international exports, inter-provincial exports, fixed capital formation, and urban household. (3) Industries with the fastest coal consumption growth driven by final demand have experienced significant shifts. Increments in industrial sectors were mainly driven by inter-provincial exports and urban household consumption in recent years. (4) Research on energy consumption in subnational regions under China’s new development pattern of “dual circulation” should not only focus on exports in the context of economic globalization but also pay more attention to inter-provincial exports on the background of strengthened interregional connections.

Key words: coal consumption, Logarithmic mean Divisia index (LMDI), input-output analysis (IOA), structural decomposition analysis (SDA), supply-side and demand-side analysis