Journal
JOURNAL OF CLEANER PRODUCTION
Volume 329, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2021.129608
Keywords
Carbon dioxide reduction; Energy intensity; Energy structure; Electricity; Decomposition analysis; China
Categories
Funding
- EPSRC [EP/R035148/1]
- National Social Science Fund of China [20XGL030]
- National Natural Science Foundation of China [51808392]
- NSSFC [21CSH015]
- SCUE Research Funding
- University of Westminster
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This study examines the key drivers of CO2 emissions in China's thermal electricity and heating sector, finding that demand is the main driver and improving input-output structure can significantly reduce emissions. It also highlights the importance of market reform of thermal power prices for effectively reducing emissions.
CO2 emissions from China accounted for 27 per cent of global emisions in 2019. More than one third of China's CO2 emissions come from the thermal electricity and heating sector. Unfortunately, this area has received limited academic attention. This research aims to find the key drivers of CO2 emissions in the thermal electricity and heating sector, as well as investigating how energy policies affect those drivers. We use data from 2007 to 2018 to decompose the drivers of CO2 emissions into four types, namely: energy structure; energy intensity; inputoutput structure; and the demand for electricity and heating. We find that the demand for electricity and heating is the main driver of the increase in CO2 emissions, and energy intensity has a slight effect on increasing carbon emissions. Improving the input-output structure can significantly help to reduce CO2 emissions, but optimising the energy structure only has a limited influence. This study complements the existing literature and finds that the continuous upgrading of power generation technology is less effective at reducing emissions and needs to be accompanied by the market reform of thermal power prices. Second, this study extends the research on CO2 emissions and enriches the application of the IO-SDA method. In terms of policy implications, we suggest that energy policies should be more flexible and adaptive to the varying socio-economic conditions in different cities and provinces in China. Accelerating the market-oriented reforms with regard to electricity pricing is also important if the benefits of technology upgrading and innovation are to be realised.
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