Abstract
Given the context of the global energy shortage and the deterioration of the ecological environment, this paper uses industrial linkage as a starting point to deeply explore the energy consumption of different sectors and its transfer characteristics. First, a dual evaluation of energy consumption in various sectors is conducted from the perspectives of production and demand to realize an integrated analysis from the energy consumption perspective. Second, based on industrial linkage, the economic input-output life cycle assessment (EIO-LCA) model is used to quantify the net transfer of energy consumption and identify the transfer of energy consumption pressure embodied in economic activities by various sectors. Finally, the energy consumption of various sectors is decomposed, and the transfer flow of energy consumption is measured to accurately quantify the degree of linkage in the energy consumption of sectors. The results show that the current direct energy consumption intensity of various sectors in China is continuously decreasing, but this decrease is insufficient to reverse the upward trend in energy consumption demand. From the perspective of production and demand, non-energy industrial sector is a key sector for reducing energy consumption, and the intersectoral linkage between the subsectors caused by product trade flows has a greater impact on the level of direct and embodied energy consumption. Direct and embodied energy consumption in the same sector can be ranked quite differently, and their levels may not be equal. Energy sector is the main net outflow sector of energy consumption, and the level of its direct energy consumption is much higher than that of its embodied energy consumption. It is worth noting that the scale of embodied energy consumption in construction industry is much higher than the scale of direct energy consumption. Construction is the sector with the greatest net inflow of energy consumed and is the main driver of the energy consumption transfer of energy sector and non-energy industrial sector.
Graphical abstract
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
The datasets generated and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.
Notes
The transfer flow of energy consumption here only takes 2017 as an example. On the one hand, it is limited by space. On the other hand, understanding the latest situation of the transfer flow is more practical for policy making.
References
Amowine N, Ma ZQ, Li MX, Zhou ZX, Asunka BA, Amowine J (2019) Energy efficiency improvement assessment in Africa: an integrated dynamic DEA approach. Energies 12(20). https://doi.org/10.3390/en12203915
Chen L, Xu LY (2017) Energy consumption of Guangdong based on the industry linkage analysis. China Environ Sci 37(10):3972–3980. https://doi.org/10.3969/j.issn.1000-6923.2017.10.042
Chen Y, Xu JT (2019) An assessment of energy efficiency based on environmental constraints and its influencing factors in China. Environ Sci Pollut Res 26(17):16887–16900. https://doi.org/10.1007/s11356-018-1912-7
Cong JH, Chang P, Liu QY (2018) Re-evaluation of China’s provincial carbon emissions responsibility based on three-dimensional perspective. Stats Res 35(04):41–52. https://doi.org/10.19343/j.cnki.11-1302/c.2018.04.004
Guan J, Chu CL, Zhang ZZ (2015) Evaluation and sensitivity analysis of the energy consumption of the Chinese construction sector based on Input-Output LCA mode. Res Environ Sci 28(02):297–303. https://doi.org/10.13198/j.issn.1001-6929.2015.02.18
Han Y, Qi XY, Yang YF (2020) Analysis of the spillover effect of energy intensity among provinces in China based on space-time lag model. Environ Sci Pollut Res 27(14):16950–16962. https://doi.org/10.1007/s11356-020-08169-6
He D, Huang T, Jiang YX (2016) Leading industry selection and development strategy for low-carbon transformation of industrial structure. Macroeconomics (11):131–141+175. https://doi.org/10.16304/j.cnki.11-3952/f.2016.11.014
Hendrickson C, Horvath A, Joshi S, Lave L (1998) Economic input-output models for environmental life-cycle assessment. Environ Sci Technol 32(7):184A–191A
Huang GT, Xu H (2018) The correlation effects of China’s iron and steel and international comparison: based on input-output table. On Economic Problems (11):1–8. https://doi.org/10.16011/j.cnki.jjwt.2018.11.002
Huang BR, Wang Y, Zhang ZH, Li YM (2012) Energy intensity in different sectors of the economy and energy embodied in trade of Beijing based on an input-output model. China Environ Sci 32(02):377–384. https://doi.org/10.3969/j.issn.1000-6923.2012.02.028
Ji JP, Liu L, Ma XM (2011) Greenhouse gas emissions by Chinese economy: an assessment based on EIO-LCA model. Acta Sci Nat Univ Pekin 47(04):741–749. https://doi.org/10.13209/j.0479-8023.2011.104
Jia QY (2014) International comparison of real estate industry association——based on non-competitive Input-Output table. Modern Management Sci 09:87–89
Li J, Fang W (2011) Research on the energy environmental cost of the growth of foreign trade in the Yangtze River Delta. Finance &Trade Economics (05):80–85. https://doi.org/10.19795/j.cnki.cn11-1166/f.2011.05.012
Li ST, Zhong SB (1998) Analysis of the characteristics of China’s industrial association and industrial structure changes. Manage World (03):3–5. https://doi.org/10.19744/j.cnki.11-1235/f.1998.03.007
Ma HL, Huang DC, Yao HZ (2011) Total-factor energy efficiency analysis of three major economic regions in China: based on Super-DEA and malmquist. China Popul Resour Environ 21(11):38–43. https://doi.org/10.3969/j.issn.1002-2104.2011.11.007
Ma XJ, Wei XX, Liu C, Liu YX (2017) The analysis of total factor energy efficiency calculation and influence factors of the three northeast provinces. China Environ Sci 37(02):777–785. https://doi.org/10.3969/j.issn.1000-6923.2017.02.052
MA XJ, Dong BY, Yu YB, Wang CX (2018) Measurement of carbon emissions from energy consumption in three Northeastern provinces and its driving factors. China Environ Sci 38(08):3170–3179. https://doi.org/10.19674/j.cnki.issn1000-6923.2018.0338
Ma XJ, Chen RM, Dong BY, Niu XQ (2019) Factor decomposition and decoupling effect of China’s industrial carbon emissions. China Environ Sci 39(08):3549–3557. https://doi.org/10.19674/j.cnki.issn1000-6923.2019.0421
Nie HG, Kemp R (2013) Why did energy intensity fluctuate during 2000–2009?: a combination of index decomposition analysis and structural decomposition analysis. Energy Sustain Dev 17(5):482–488. https://doi.org/10.1016/j.esd.2013.06.001
Qian MX, Lu ZN, Wang J (2014) Analysis of carbon propogation effects of industrial sectors. China Popul Resour Environ 24(12):82–88. https://doi.org/10.3969/j.issn.1002-2104.2014.12.011
Rebitzer G, Ekvall T, Frischknecht R, Hunkeler D, Norris G, Rydberg T, Schmidt WP, Suh S, Weidema BP, Pennington DW (2004) Life cycle assessment: part 1: framework, goal and scope definition, inventory analysis, and applications. Environ Int 30(5):701–720. https://doi.org/10.1016/j.envint.2003.11.005
Teng F, Liu Y, Jin FJ (2013) Factor decomposition of energy consumption changes and regional differences in selected Chinese Mega Cities. Res Sci 35(02):240–249
Wang M, Feng C (2018) Decomposing the change in energy consumption in China’s nonferrous metal industry: an empirical analysis based on the LMDI method. Renew Sust Energ Rev 82:2652–2663. https://doi.org/10.1016/j.rser.2017.09.103
Wang CB, Zhang LX, Pang MY (2015) A review on hybrid life cycle assessment: development and application. J Nat Resour 30(07):1232–1242. https://doi.org/10.11849/zrzyxb.2015.07.015
Wu YR (2012) Energy intensity and its determinants in China’s regional economies. Energy Policy 41:703–711. https://doi.org/10.1016/j.enpol.2011.11.034
Xie R, Wang LF, Lai MY (2011) The linkage effects of China’s iron and steel industry and international comparison analysis. Stats Res 28(08):49–54. https://doi.org/10.19343/j.cnki.11-1302/c.2011.08.008
Yuan Y, Xi QM, Li GP (2017) The impact of industrial relevancy on regional carbon emission: empirical analysis based on the input-output data of EU countries. J Nat Resour 32(05):841–853. https://doi.org/10.11849/zrzyxb.20160549
Yang C, Zheng ZX (2014) Analysis of the theoretical issues on the measurement of industrial linkage. Stats Res 31(12):11–19. https://doi.org/10.19343/j.cnki.11-1302/c.2014.12.002
Yang L, Du P, Xia B (2014) Study on the embodied energy consumption and trade in Guangdong province based on input-output model. Sci and Tech Management Res 34(13):224–228. https://doi.org/10.3969/j.issn.1000-7695.2014.13.046
Yang GF, Li WL, Wang JL, Zhang DQ (2016) A comparative study on the influential factors of China’s provincial energy intensity. Energy Policy 88:74–85. https://doi.org/10.1016/j.enpol.2015.10.011
Yao HY (2013) Analysis of energy consumption characteristics of China’s service industry from the perspective of final demand. Statistics & Decision (15):124–128. https://doi.org/10.13546/j.cnki.tjyjc.2013.15.040
Yu DF, Zhang YJ (2015) Manufacturing-driven or service-driven? An empirical research based on the effect of industrial linkage in China. J Financ Econ 41(06):19–31. https://doi.org/10.16538/j.cnki.jfe.2015.06.004
Yue T, Long RY (2010) Analysis of factors affecting the energy intensity growth in Jiangsu province based on LMDI. Res Sci 32(07):1266–1271
Yue SJ, Wang XL (2014) Differences in energy consumption of manufacturing in Yangzi River Delta: a study from the perspective of industry segmentation. J of Southeast University (Philosophy and Social Science) 16(03):38-43–134-135. https://doi.org/10.13916/j.cnki.issn1671-511x.2014.03.009
Zeng LT, Ye AZ (2019) Spatial–temporal modeling of inside and outside factors on energy intensity: evidence from China. Environ Sci Pollut Res 26(31):32600–32609. https://doi.org/10.1007/s11356-019-06401-6
Zeng L, Xu M, Liang S, Zeng SY, Zhang TZ (2014) Revisiting drivers of energy intensity in China during 1997-2007: a structural decomposition analysis. Energy Policy 67:640–647. https://doi.org/10.1016/j.enpol.2013.11.053
Zhang HY, Lahr ML (2014) China’s energy consumption change from 1987 to 2007: a multi-regional structural decomposition analysis. Energy Policy 67:682–693. https://doi.org/10.1016/j.enpol.2013.11.069
Zhao XL, Hong DY (2009) The impact of China’s foreign trade on energy consumption: an analysis based on the decomposition of structural factors. Finance & Trade Economics (09):102–107. https://doi.org/10.19795/j.cnki.cn11-1166/f.2009.09.014
Zhao HY, Geng Y, Xi FM, Liu Z, Dong HJ (2012) Analysis of CO2 emissions related to sectoral energy consumption in Liaoning province based on production and consumption perspectives. Res Environ Sci 25(11):1290–1296. https://doi.org/10.13198/j.res.2012.11.104.zhaohy.017
Zhao CH, Zhang HN, Zeng YR, Li FY, Liu YX, Qin CJ, Yuan JH (2018) Total-factor energy efficiency in BRI countries: an estimation based on three-stage DEA model. Sustainability 10(1). https://doi.org/10.3390/su10010278
Zheng ZX (2015) Measurement of industrial linkage under open economy——improvement based on non-competitive and regional industrial linkage theories. Stats Res 32(08):27–36. https://doi.org/10.19343/j.cnki.11-1302/c.2015.08.004
Zheng HL, Liu ZM, Liu L (2018) Research on multiplier effect, feedback effect and spillover effect of industrial linkage. Price: Theory & Practice (04):122–125. https://doi.org/10.19851/j.cnki.cn11-1010/f.2018.04.028
Zhu QR (2014) Study on virtual water of Chinese foreign trade and adjusting of trade structure. China Industrial Econ (02):58–70. https://doi.org/10.19581/j.cnki.ciejournal.2014.02.005
Funding
This work was supported by the National Social Science Fund of China (grant numbers 18AGJ003, 19BTJ054) and Scientific Research Project of Liaoning Provincial Department of Education (grant numbers LN2020Z02).
Author information
Authors and Affiliations
Contributions
Conceptualization: Jingquan Chen; formal analysis: Baishu Chang; writing—original draft: Baishu Chang and Yishan Guo; writing—review and editing: Yishan Guo and Hanning Su; project administration: Xiaojun Ma; supervision: Jingquan Chen and Xiaojun Ma; investigation: Ziyan Zhang.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Additional information
Responsible Editor: Nicholas Apergis
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Chen, J., Guo, Y., Su, H. et al. Empirical analysis of energy consumption transfer in China’s national economy from the perspective of production and demand. Environ Sci Pollut Res 28, 19202–19221 (2021). https://doi.org/10.1007/s11356-020-11983-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-020-11983-7