Abstract
Firstly, through introducing the provincial product trading data into the input–output table, this paper constructs the provincial input–output table and then deduces the provincial MRIO (Multi-Regional Input–Output) model. Secondly, based on the empirical data from 30 provinces in mainland China, the provincial MRIO model was used to analyze the provincial carbon transfer caused by provincial trading and calculate the provincial direct carbon emission and complete carbon emission. Results show that: (1) The provincial MRIO model can separate the provincial self-demand carbon emissions, the net carbon emissions of import and export trading transfer and the net carbon emissions of provincial trading transfer, and can accurately calculate the source and destination of provincial carbon emissions. (2) There is a carbon transfer relationship between any two of China’s 30 mainland provinces, and the carbon emissions transferred between provinces are quite different. The five provinces with the largest net provincial trading carbon transfer are Beijing (144.04 million tons), Shanghai (160.96 million tons), Jiangsu (133.85 million tons), Zhejiang (134.12 million tons) and Guangdong (268.32 million tons). (3) Most of the central and western regions dominated by economically underdeveloped provinces in China bear the carbon transfer of economically developed provinces. (4) When considering the dual carbon transfer of import and export trading and provincial product trading, there are only 5 provinces as Beijing (130.97 million tons), Shanghai (59.20 million tons), Jiangxi (3.36 million tons), Chongqing (11.75 million tons) and Qinghai (0.02 million tons) that have the positive difference among the 30 mainland provinces,, realize carbon transfer out, and the remaining 26 provinces are carbon transfer in.
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The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.
References
Carbone JC (2013) Linking numerical and analytical models of carbon leakage. Am Econ Rev 103:326–331
Emir F, Bekun FV (2019) Energy intensity, carbon emissions, renewable energy, and economic growth nexus: new insights from Romania. Energy Environ 30(3):427–443
Fernándezamador O, Francois JF, Oberdabernig DA et al (2017) Carbon dioxide emissions and economic growth: an assessment based on production and consumption emission inventories. Ecol Econ 135:269–279
Kanemoto K, Moran D, Lenzen M et al (2014) International trade undermines national emission reduction targets: new evidence from air pollution. Glob Environ Chang 24:52–59
Liddle B (2018) Consumption-based accounting and the trade-carbon emissions nexus. Energy Econ 69(1):71–78
Maciver C, Bukhsh W, Bell K (2021) The impact of interconnectors on the GB electricity sector and European carbon emissions. Energy Policy 151(1):112170
Meng B, Wang J, Andrew R et al (2017) Spatial spillover effects in determining China’s regional CO2, emissions growth: 2007–2010. Energy Econ 63:161–173
Qadir S, Dosmagambet Y (2020) CAREC energy corridor: opportunities, challenges, and IMPACT of regional energy trade integration on carbon emissions and energy access. Energy Policy 147:111427
Rong Y, Rodrigues JFD, Behrens P (2018) Impact of non-fossil electricity on the carbon emissions embodied in China’s exports. J Clean Prod 192:582–596
Su B, Ang BW (2014) Input–output analysis of CO2, emissions embodied in trade: a multi-region model for China. Appl Energy 114:377–384
Sun CW, Ding D, Yang M (2017) Estimating the complete CO2 emissions and the carbon intensity in India: from the carbon transfer perspective. Energy Policy 109:418–427
Wei T, Zhu Q, Glomsrod S (2018) How will demographic characteristics of the labor force matter for the global economy and carbon dioxide emissions? Ecol Econ 147(5):197–207
Wiebe KS, Bruckner M, Giljum S et al (2012) Carbon and materials embodied in the international trade of emerging economies: a multiregional input-output assessment of trends between 1995 and 2005. J Ind Ecol 4:636–646
Winchester N, Rausch S (2013) A numerical investigation of the potential for negative emissions leakage. Am Econ Rev 103:320–325
Xie R, Hu GX, Zhang YG et al (2017) Provincial transfers of enabled carbon emissions in China: a supply-side perspective. Energy Policy 107:688–697
Zhang Y (2015) Provincial responsibility for carbon emissions in China under different principles. Energy Policy 86:142–153
Zhang YJ, Wang W (2021) How does China’s carbon emissions trading (CET) policy affect the investment of CET-covered enterprises? Energy Econ 98:105224
Funding
This work is financially supported by the Humanities and Social Sciences Foundation of the Ministry of Education of China (No. 18YJC630042), the Jiangsu Social Science Foundation (No. 19GLC007) and the Jiangsu Natural Science Foundation (No. BK20200838).
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TT wrote the paper; WG and TT analyzed the data. All authors read and approved the final manuscript.
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Tao, T., Wen, G. Research on accounting of provincial carbon transfer: based on the empirical data of 30 provinces in China. Environ Sci Pollut Res 29, 40984–40996 (2022). https://doi.org/10.1007/s11356-021-17410-9
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DOI: https://doi.org/10.1007/s11356-021-17410-9