TY - JOUR
T1 - A hypothetical extraction method decomposition of intersectoral and interprovincial CO2 emission linkages of China’s construction industry
AU - Ogungbile, Adedayo Johnson
AU - Shen, Geoffrey Qiping
AU - Xue, Jin
AU - Alabi, Tobi Michael
N1 - Funding Information:
Acknowledgments: The authors wish to thank the Research Grants Council, the Innovation and Technology Commission, the Policy Innovation and Co-ordination Office of the Government of the Hong Kong Special Administrative Region, the Research Institute for Sustainable Urban Development, and the Hong Kong Polytechnic University for funding support for the research which has contributed to the preparation of this paper.
Funding Information:
In selecting the data for the study, we considered many international and local databases. The databases considered include the World Input–Output Database (WIOD), Carbon Emissions Accounts and Datasets (CEADs), OECD, Eurostat, Eora, EXIOPOL, ADB-MRIO, and IO accounts by the National Bureau of Statistics in China. Each IO account presents different challenges for usage in this study. Therefore, the study used the CEAD data for 2012, 2015, and 2017 (latest available MRIO tables of China) and corresponding CO2 emissions data for the three years. We chose the three years’ data because of the sectoral classifications of the IO tables in these years. Compared to other available years, 2012, 2015, and 2017 IO tables were constructed based on 42 sectoral categories, unlike previous tables with 30 sectors. Extending the data to include earlier years would require data assumptions in the reclassification of the sector, which may have invalidated the data integrity. As stated on CEAD’s website, all data published in the database are results from recent and current research funded by the Chinese Academy of Science, China’s Ministry of Science and Technology, National Natural Science Foundation of China, the Newton Funds, the Science and Technology Research Council of the UK, and other sponsoring institutions and agencies mentioned on its website [55].
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Understanding the complex CO2 emissions in inter-sectoral and interregional interactions of the construction industry is significant to attaining sustainability in China. Many previous studies focused on aggregating the construction sector’s CO2 emissions on a national level, with the provincial characteristics and interactions often overlooked. Using extended environmental input-output tables, we adopted a hypothetical extraction method combined with extended-environmental multi-regional input-output tables for 2012, 2015, and 2017 data to decompose the CO2 emissions linkages in 30 provincial construction sectors. The provincial carbon emissions data from a complete system boundary informed the recategorization of China’s construction sector as a high-carbon-intensity industry. The interprovincial interactions results show relatively small backward CO2 emissions linkages compared to forward CO2 emissions linkages depicting the industry’s significant role in China’s economic growth and an essential target in CO2 emissions reduction plans. The provinces exhibited different impacts on the directional push-pull, with less developed provinces having one-way directional effects. The more developed provincial sectors behaved more like demand-driven industries creating an overall imbalance in CO2 emissions interaction between the sectors in interregional emission trades. We identified construction sectors in Gansu, Xingjian, Ningxia, and Inner Mongolia as the most critical, with more significant CO2 emissions interactions than other provinces. Improving the technical level in less developed provincial construction sectors, considering provincial characteristics in policy formulation, and a swift shift to renewable energy as a primary energy source would aid in reducing the emissions intensities in the construction sector, especially in the less developed provinces, and achieving China’s quest to reach a CO2 emissions peak by 2030.
AB - Understanding the complex CO2 emissions in inter-sectoral and interregional interactions of the construction industry is significant to attaining sustainability in China. Many previous studies focused on aggregating the construction sector’s CO2 emissions on a national level, with the provincial characteristics and interactions often overlooked. Using extended environmental input-output tables, we adopted a hypothetical extraction method combined with extended-environmental multi-regional input-output tables for 2012, 2015, and 2017 data to decompose the CO2 emissions linkages in 30 provincial construction sectors. The provincial carbon emissions data from a complete system boundary informed the recategorization of China’s construction sector as a high-carbon-intensity industry. The interprovincial interactions results show relatively small backward CO2 emissions linkages compared to forward CO2 emissions linkages depicting the industry’s significant role in China’s economic growth and an essential target in CO2 emissions reduction plans. The provinces exhibited different impacts on the directional push-pull, with less developed provinces having one-way directional effects. The more developed provincial sectors behaved more like demand-driven industries creating an overall imbalance in CO2 emissions interaction between the sectors in interregional emission trades. We identified construction sectors in Gansu, Xingjian, Ningxia, and Inner Mongolia as the most critical, with more significant CO2 emissions interactions than other provinces. Improving the technical level in less developed provincial construction sectors, considering provincial characteristics in policy formulation, and a swift shift to renewable energy as a primary energy source would aid in reducing the emissions intensities in the construction sector, especially in the less developed provinces, and achieving China’s quest to reach a CO2 emissions peak by 2030.
KW - CO emissions
KW - CO interactions
KW - Embodied carbon
KW - Hypothetical extraction method
KW - Multi-regional input-output analysis
KW - Provincial construction sector
UR - http://www.scopus.com/inward/record.url?scp=85121867602&partnerID=8YFLogxK
U2 - 10.3390/su132413917
DO - 10.3390/su132413917
M3 - Journal article
AN - SCOPUS:85121867602
SN - 2071-1050
VL - 13
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 24
M1 - 13917
ER -
