Structural decomposition analysis of driving factors for energy use before and after the global financial crisis: evidence from top energy consumer Guangdong Province in China

• Autorzy: Wang C. , Wang F. , Wen B. , Ye Y. , Zhang H.
• Języki publikacji: EN

Abstrakty

EN

Understanding drivers for energy consumption is important for economic and environmentally sustainable development. To explore this issue, the SDA (structural decomposition analysis) method based on input-output theory was used to analyze the influencing mechanism of energy consumption in one of the top energy consumers, Guangdong Province in China, during 2002 to 2012. We divided the process into 2 stages: before and after the global financial crisis. The main conclusions are as follows: 1) Economic activity and population size are the main driving factors for the increase in energy consumption, while energy consumption intensity is the main factor restraining the increment, and the effects of final demand structure on energy consumption transformed from positive before the global financial crisis to negative after the global financial crisis. 2) Analysis of allocation of energy consumption changes caused by final demands shows that international and domestic trade had significant effects on changes in energy consumption. Although energy consumption embodied in international exports decreased after the global financial crisis, it is still the most significant important driver for the increments. Guangdong is a net exporter of embodied energy through international trade, while its energy-saving achievement is partly due to embodied energy transfers via China’s domestic trade.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2019
• Tom: 28
• Numer: 5
• Opis fizyczny: p.3463-3474,fig.,ref.

Twórcy

autor

Wang C.

• Key Laboratory of Guangdong for Utilization 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

autor

Wang F.

• Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, Research Centre for Urban Development of the Silk Road Economic Belt, College of Geography Science and Tourism, Xinjiang Normal University, Urumqi 830054, Xinjiang, China

autor

Wen B.

• College of Economic and Management, Huanghuai University, Zhumadian 463000, China

autor

Ye Y.

• Key Laboratory of Guangdong for Utilization 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

autor

Zhang H.

• Key Laboratory of Guangdong for Utilization 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

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Identyfikatory

DOI

10.15244/pjoes/93741