Exports-driven primary energy requirements and the structural paths of Chinese regions

Ying LIU, Xudong WU, Xudong SUN, Chenghe GUAN, Bo ZHANG, Xiaofang WU

Front. Earth Sci. ›› 2020, Vol. 14 ›› Issue (4) : 803-815.

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Front. Earth Sci. ›› 2020, Vol. 14 ›› Issue (4) : 803-815. DOI: 10.1007/s11707-020-0822-4
RESEARCH ARTICLE
RESEARCH ARTICLE

Exports-driven primary energy requirements and the structural paths of Chinese regions

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Abstract

As the major primary energy importer in the world, China has engaged in considerable efforts to ensure energy security. However, little attention has been paid to China’s embodied primary energy exports. Separating the international export from regional final demand, this paper focuses on quantifying provincial primary energy requirement arising from China’s exports, and tracing its concrete interprovincial supply chains using multi-regional input-output analysis and structural path analysis. Results show that China’s embodied primary energy uses in exports (EEE) reached 633.01 Mtce in 2012, compared to 565.15 Mtce in 2007. Four fifths of the EEE were supplied through interprovincial trade. Eastern coastal provinces accounted for nearly 70% of the national total EEE, while their primary energy supply mainly sourced from the central and western provinces. Most interprovincial supply chain paths of embodied primary energy exports were traced to the coal mining sectors of Shanxi, Inner Mongolia and Shaanxi. Critical receiving sectors in the final export provinces were Chemical industry, Metallurgy, Electronic equipment, Textile and other manufacturing sectors. Important transmission sectors were Electricity and hot water production and supply and Petroleum refining, coking, etc. In view of the specific role of exports in primary energy requirements, provincial energy uses are largely dependent on its domestic trade position and degrees of industrial participation in the global economy. Managing critical industrial sectors and supply chain paths associated with the international exports provide new insights to ensure China’s energy security and to formulate targeted energy policies.

Keywords

embodied energy / multi-regional input-output analysis / structural path analysis / interregional supply chains / China’s exports

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Ying LIU, Xudong WU, Xudong SUN, Chenghe GUAN, Bo ZHANG, Xiaofang WU. Exports-driven primary energy requirements and the structural paths of Chinese regions. Front. Earth Sci., 2020, 14(4): 803‒815 https://doi.org/10.1007/s11707-020-0822-4

References

[1]
CEPY Editorial Board (2013). China Electric Power Yearbook 2013. Beijing: China Statistics Press (in Chinese)
[2]
Chen B, Li J S, Wu X F, Han M Y, Zeng L, Li Z, Chen G Q (2018). Global energy flows embodied in international trade: a combination of environmentally extended input–output analysis and complex network analysis. Appl Energy, 210: 98–107
CrossRef Google scholar
[3]
Chen G Q, Wu X D, Guo J, Meng J, Li C (2019). Global overview for energy use of the world economy: household-consumption-based accounting based on the world input-output database (WIOD). Energy Econ, 81: 835–847
CrossRef Google scholar
[4]
Chen G Q, Wu X F (2017). Energy overview for globalized world economy: source, supply chain and sink. Renew Sustain Energy Rev, 69: 735–749
CrossRef Google scholar
[5]
Chen W, Wu S, Lei Y, Li S (2017). Interprovincial transfer of embodied energy between the Jing-Jin-Ji area and other provinces in China: a quantification using interprovincial input-output model. Sci Total Environ, 584-585: 990–1003
CrossRef Pubmed Google scholar
[6]
Chen Z M, Chen G Q (2011). An overview of energy consumption of the globalized world economy. Energy Policy, 39(10): 5920–5928
CrossRef Google scholar
[7]
Feng C, Tang X, Jin Y, Guo Y, Zhang X (2019). Regional energy-water nexus based on structural path betweenness: a case study of Shanxi Province, China. Energy Policy, 127: 102–112
CrossRef Google scholar
[8]
Gao C, Su B, Sun M, Zhang X, Zhang Z (2018). Interprovincial transfer of embodied primary energy in China: a complex network approach. Appl Energy, 215: 792–807
CrossRef Google scholar
[9]
Guo J, Zhang Z, Meng L (2012). China’s provincial CO2 emissions embodied in international and interprovincial trade. Energy Policy, 42: 486–497
CrossRef Google scholar
[10]
Hawkins J, Ma C, Schilizzi S, Zhang F (2015). Promises and pitfalls in environmentally extended input–output analysis for China: a survey of the literature. Energy Econ, 48: 81–88
CrossRef Google scholar
[11]
Herendeen R (1973). An Energy Input-output Matrix for the United States, 1963: User’s Guide. CAC document No. 69, University of Illinois
[12]
Hong J, Shen Q, Xue F (2016). A multi-regional structural path analysis of the energy supply chain in China’s construction industry. Energy Policy, 92: 56–68
CrossRef Google scholar
[13]
Jiang X, Zhang Q, Zhao H, Geng G, Peng L, Guan D, Kan H, Huo H, Lin J, Brauer M, Martin R V, He K (2015). Revealing the hidden health costs embodied in Chinese exports. Environ Sci Technol, 49(7): 4381–4388
CrossRef Pubmed Google scholar
[14]
Kanemoto K, Lenzen M, Peters G P, Moran D D, Geschke A (2012). Frameworks for comparing emissions associated with production, consumption, and international trade. Environ Sci Technol, 46(1): 172–179
CrossRef Pubmed Google scholar
[15]
Lenzen M (2016). Structural analyses of energy use and carbon emissions–an overview. Econ Syst Res, 28(2): 119–132
CrossRef Google scholar
[16]
Liu B, Wang D, Xu Y, Liu C, Luther M (2018a). Embodied energy consumption of the construction industry and its international trade using multi-regional input–output analysis. Energy Build, 173: 489–501
CrossRef Google scholar
[17]
Liu W D, Tang Z P, Han M Y ( 2018b). The 2012 China Multi-Regional Input-Output Table of 31 Provincial Units. Beijing: China Statistics Press (in Chinese)
[18]
Llop M, Ponce-Alifonso X (2015). Identifying the role of final consumption in structural path analysis: an application to water uses. Ecol Econ, 109: 203–210
CrossRef Google scholar
[19]
Meng B, Xue J, Feng K, Guan D, Fu X (2013). China’s inter-regional spillover of carbon emissions and domestic supply chains. Energy Policy, 61: 1305–1321
CrossRef Google scholar
[20]
Meng J, Liu J F, Xu Y, Tao S (2015). Tracing primary PM2.5 emissions via Chinese supply chains. Environ Res Lett, 10(5): 054005
CrossRef Google scholar
[21]
Nawab A, Liu G, Meng F, Hao Y, Zhang Y, Hu Y, Casazza M (2019). Exploring urban energy-water nexus embodied in domestic and international trade: a case of Shanghai. J Clean Prod, 223: 522–535
CrossRef Google scholar
[22]
National Bureau of Statistics of China (2015). China Energy Statistical Yearbook 2014. Beijing: China Statistics Press (in Chinese)
[23]
National Bureau of Statistics of China (2019). China Energy Statistical Yearbook 2018. Beijing: China Statistics Press (in Chinese)
[24]
Nordhaus W (2009). The economics of an integrated world oil market. In: Address Prepared for Annual Conference of Energy Information Agency, 2009, and the 2009 Meeting of International Energy Workshop
[25]
Oshita Y (2012). Identifying critical supply chain paths that drive changes in CO2 emissions. Energy Econ, 34(4): 1041–1050
CrossRef Google scholar
[26]
Peters G P (2008). From production-based to consumption-based national emission inventories. Ecol Econ, 65(1): 13–23
CrossRef Google scholar
[27]
Peters G P, Minx J C, Weber C L, Edenhofer O (2011). Growth in emission transfers via international trade from 1990 to 2008. Proc Natl Acad Sci USA, 108(21): 8903–8908
CrossRef Pubmed Google scholar
[28]
Shao L, Li Y, Feng K, Meng J, Shan Y, Guan D (2018). Carbon emission imbalances and the structural paths of Chinese regions. Appl Energy, 215: 396–404
CrossRef Google scholar
[29]
Skelton A, Guan D, Peters G P, Crawford-Brown D (2011). Mapping flows of embodied emissions in the global production system. Environ Sci Technol, 45(24): 10516–10523
CrossRef Pubmed Google scholar
[30]
Su B, Ang B W, Li Y (2019). Structural path and decomposition analysis of aggregate embodied energy and emission intensities. Energy Econ, 83: 345–360
CrossRef Google scholar
[31]
Sun X, Li J, Qiao H, Zhang B (2017). Energy implications of China’s regional development: new insights from multi-regional input-output analysis. Appl Energy, 196: 118–131
CrossRef Google scholar
[32]
Su X, Zhang X (2016). A detailed analysis of the embodied energy and carbon emissions of steel-construction residential buildings in China. Energy Build, 119: 323–330
CrossRef Google scholar
[33]
Tang M, Hong J, Liu G, Shen G Q (2019). Exploring energy flows embodied in China’s economy from the regional and sectoral perspectives via combination of multi-regional input-output analysis and a complex network approach. Energy, 170: 1191–1201
CrossRef Google scholar
[34]
Tang Z, Liu W, Gong P (2015). The measurement of the spatial effects of Chinese regional carbon emissions caused by exports. J Geogr Sci, 25(11): 1328–1342
CrossRef Google scholar
[35]
Tian X, Chen B, Geng Y, Zhong S, Gao C, Wilson J, Cui X, Dou Y (2019). Energy footprint pathways of China. Energy, 180: 330–340
CrossRef Google scholar
[36]
Tang X, Mclellan B C, Zhang B, Snowden S, Höök M (2016). Trade-off analysis between embodied energy exports and employment creation in China. J Clean Prod, 134: 310–319
CrossRef Google scholar
[37]
Wang Z, Wei L, Niu B, Liu Y, Bin G (2017). Controlling embedded carbon emissions of sectors along the supply chains: a perspective of the power-of-pull approach. Appl Energy, 206: 1544–1551
CrossRef Google scholar
[38]
Weber C L, Peters G P, Guan D, Hubacek K (2008). The contribution of Chinese exports to climate change. Energy Policy, 36(9): 3572–3577
CrossRef Google scholar
[39]
Wiedmann T (2009). A review of recent multi-region input–output models used for consumption-based emission and resource accounting. Ecol Econ, 69(2): 211–222
CrossRef Google scholar
[40]
Wu X D, Guo J L, Han M Y, Chen G Q (2018). An overview of arable land use for the world economy: from source to sink via the global supply chain. Land Use Policy, 76: 201–214
CrossRef Google scholar
[41]
Wu X D, Guo J L, Ji X, Chen G Q (2019a). Energy use in world economy from household-consumption-based perspective. Energy Policy, 127: 287–298
CrossRef Google scholar
[42]
Wu X D, Guo J L, Meng J, Chen G Q (2019b). Energy use by globalized economy: total-consumption-based perspective via multi-region input-output accounting. Sci Total Environ, 662: 65–76
CrossRef Pubmed Google scholar
[43]
Wu X F, Chen G Q (2017). Energy use by Chinese economy: a systems cross-scale input-output analysis. Energy Policy, 108: 81–90
CrossRef Google scholar
[44]
Wu X F, Chen G Q (2018). Coal use embodied in globalized world economy: from source to sink through supply chain. Renew Sustain Energy Rev, 81(Part 1): 978–993
CrossRef Google scholar
[45]
Xu T, Yong G, Sarkis J, Zhong S (2018). Trends and features of embodied flows associated with international trade based on bibliometric analysis. Resour Conserv Recycling, 131: 148–157
CrossRef Google scholar
[46]
Yang X, Zhang W, Fan J, Li J, Meng J (2018). The temporal variation of SO2 emissions embodied in Chinese supply chains, 2002–2012. Environ Pollut, 241: 172–181
CrossRef Pubmed Google scholar
[47]
Yuko O (2012). Identifying critical supply chain paths that drive changes in CO2 emissions. Energy Econ, 34(4): 1041–1050
CrossRef Google scholar
[48]
Zhang B, Chen Z M, Xia X H, Xu X Y, Chen Y B (2013). The impact of domestic trade on China’s regional energy uses: a multi-regional input–output modeling. Energy Policy, 63: 1169–1181
CrossRef Google scholar
[49]
Zhang B, Guan S, Wu X, Zhao X (2018a). Tracing natural resource uses via China’s supply chains. J Clean Prod, 196: 880–888
CrossRef Google scholar
[50]
Zhang B, Qiao H, Chen B (2015). Embodied energy uses by China’s four municipalities: a study based on multi-regional input–output model. Ecol Modell, 318: 138–149
CrossRef Google scholar
[51]
Zhang B, Qiao H, Chen Z M, Chen B (2016). Growth in embodied energy transfers via China’s domestic trade: evidence from multi-regional input–output analysis. Appl Energy, 184: 1093–1105
CrossRef Google scholar
[52]
Zhang B, Qu X, Meng J, Sun X (2017). Identifying primary energy requirements in structural path analysis: a case study of China 2012. Appl Energy, 191: 425–435
CrossRef Google scholar
[53]
Zhang Q, Nakatani J, Shan Y, Moriguchi Y (2019). Inter-regional spillover of China’s sulfur dioxide (SO2) pollution across the supply chains. J Clean Prod, 207: 418–431
CrossRef Google scholar
[54]
Zhang W, Wang F, Hubacek K, Liu Y, Wang J, Feng K, Jiang L, Jiang H, Zhang B, Bi J (2018b). Unequal exchange of air pollution and economic benefits embodied in China’s exports. Environ Sci Technol, 52(7): 3888–3898
CrossRef Pubmed Google scholar
[55]
Zhao H, Zhang Q, Huo H, Lin J, Liu Z, Wang H, Guan D, He K (2016). Environment-economy tradeoff for Beijing–Tianjin–Hebei’s exports. Appl Energy, 184: 926–935
CrossRef Google scholar
[56]
Zhao G, Gao C, Xie R, Lai M, Yang L (2019). Provincial water footprint in China and its critical path. Ecol Indic, 105: 634–644
CrossRef Google scholar
[57]
Zhao N, Xu L, Malik A, Song X, Wang Y (2018). Inter-provincial trade driving energy consumption in China. Resour Conserv Recycling, 134: 329–335
CrossRef Google scholar

Acknowledgments

This study has been supported by the National Natural Science Foundation of China (Grant Nos. 71774161 and 71804194) and the Fundamental Research Funds for the Central Universities (Zhongnan University of Economics and Law, No. 2722019JCT006).

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ƒElectrical material is available in the online version of this article at http://doi.org/10.1007/s11707-020-0822-4 and is accessible for authorized users.

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