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The carbon emissions level of China’s service industry: an analysis of characteristics and influencing factors

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Abstract

Carbon emissions in the service industry play a significant role in sustainable development due to the increasing amount of carbon emissions. This study calculated the carbon emissions level of the service industry and its sub-industries in each province of China (i.e., transport, storage and post, wholesale, retail trade and hotel, restaurants; and other services). The influencing factors of the provincial service industry’s carbon emissions were investigated using a spatial econometric model. The results are as follows: In general, the carbon emissions of China’s service industry showed a rapid growth trend, rising from 382.45 million tons in 2003 to 1,406.46 million tons in 2016, with an average annual growth rate of nearly 11%, surpassing the average annual growth rate of the economy in the same period. In terms of the spatial characteristics, the carbon emissions of the service industry in China’s coastal areas are higher than those in its inland areas. Additionally, carbon emissions in the central and western regions are currently low but are growing rapidly. In terms of the internal composition of the service industry, transport, storage and post, wholesale, retail trade, and hotel and restaurants are major sources of carbon emissions, accounting for nearly 80% of all emissions. Among them, transport, storage, and post account for nearly 60% of the total. There is an environmental Kuznets effect on the carbon emissions of the service industry, and technical progress will be required to reduce carbon emissions. While traditional urbanization is marked by coal-based energy consumption, and the service industry is dominated by traditional services that increase carbon emissions, the environmental regulations have actually been shown to also increase carbon emissions due to failure to enforce such regulation. The hypothesis of a pollution shelter from Foreign direct investment (FDI) was also not confirmed. The average spatial Moran index of carbon emissions from the service industry is 0.1381, which shows there is a strong positive spatial correlation in the service industry’s carbon emissions.

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References

  • Adams, S., & Acheampong, A. O. (2019). Reducing carbon emissions: the role of renewable energy and democracy. Journal of Cleaner Production, 240, 118245.

    Article  Google Scholar 

  • Al-mulali, U., Sab, B. C., & C. N., & Fereidouni, H. G. (2012). Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission. Energy, 46(1), 156–167.

    Article  Google Scholar 

  • Ang, B. W., & Su, B. (2016). Carbon emission intensity in electricity production: A global analysis. Energy Policy, 94, 56–63.

    Article  CAS  Google Scholar 

  • Butner, I., & Llop, M. (2011). Structural decomposition analysis and input–output subsystems: Changes in CO2 emissions of Spanish service sectors (2000–2005). Ecological Economics, 70(11), 2012–2019.

    Article  Google Scholar 

  • Cai, B., Li, W., Dhakal, S., & Wang, J. (2018). Source data supported high resolution carbon emissions inventory for urban areas of the Beijing-Tianjin-Hebei region: Spatial patterns, decomposition and policy implications. Journal of Environmental Management, 206, 786–799.

    Article  Google Scholar 

  • Chang, N. (2015). Changing industrial structure to reduce carbon dioxide emissions: A Chinese application. Journal of Cleaner Production, 103, 40–48.

    Article  CAS  Google Scholar 

  • Ding, S., Zhang, M., & Song, Y. (2019). Exploring China’s carbon emissions peak for different carbon tax scenarios. Energy Policy, 129, 1245–1252.

    Article  Google Scholar 

  • Du, Q., Zhou, J., Pan, T., Sun, Q., & Wu, M. (2019). Relationship of carbon emissions and economic growth in China’s construction industry. Journal of Cleaner Production, 220, 99–109.

    Article  Google Scholar 

  • Ebohon, O. J., & Ikeme, A. J. (2006). Decomposition analysis of CO2 emission intensity between oil-producing and non-oil-producing sub-saharan African countries. Energy Policy, 34(18), 3599–3611.

    Article  Google Scholar 

  • Fang, K., Tang, Y., Zhang, Q., Song, J., & Xu, A. (2019). Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces. Applied Energy, 255, 113852.

    Article  CAS  Google Scholar 

  • Galeotti, M., Lanza, A., & Pauli, F. (2006). Reassessing the environmental Kuznets curve for CO2 emissions: A robustness exercise. Ecological Economics, 57, 152–163.

    Article  Google Scholar 

  • Gill, A. R., Viswanathan, K. K., & Hassan, S. (2018). A test of environmental kuznets curve (EKC) for carbon emission and potential of renewable energy to reduce greenhouse gases (GHG) in Malaysia. Environment Development & Sustainability, 20, 1103–1114.

    Article  Google Scholar 

  • IPCC. (2006). Report “Guidelines for national greenhouse gas Inventories”. In S. Eggelston, L. Buendia, K. Miwa, T. Ngara, & K. Tanabe (Eds.), Institute for Global Environmental Strategies (IGES) for the IPCC2006. Available from: https://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html.

  • Jalil, A., & Mahmud, S. F. (2009). Environment Kuznets curve for CO2 emissions: A cointegration analysis for china. Energy Policy, 37(12), 5167–5172.

    Article  Google Scholar 

  • Kay, A. I., Noland, R. B., & Rodier, C. J. (2014). Achieving reductions in greenhouse gases in the us road transportation sector-science direct. Energy Policy, 69(6), 536–545.

    Article  CAS  Google Scholar 

  • Larser, H. N., & Hertwich, E. G. (2011). Analyzing the carbon footprint from public services provided by counties. Journal of Cleaner Production, 19(17–18), 1975–1981.

    Article  Google Scholar 

  • LeSage, P., & Pace, R, K. (2009). Introduction to spatial econometrics. CRC Press, Taylor and Francis Group.

  • Liu, C. J., Jiang, Y., & Xie, R. (2019). Does income inequality facilitate carbon emission reduction in the US? Journal of Cleaner Production, 217, 380–387.

    Article  Google Scholar 

  • Liu, B., Shi, J., Wang, H., Su, X., & Zhou, P. (2019). Driving factors of carbon emissions in China: a joint decomposition approach based on meta-frontier. Applied Energy, 256, 113986.

    Article  Google Scholar 

  • Loo, B., & Li, L. (2012). Carbon dioxide emissions from passenger transport in china since 1949: Implications for developing sustainable transport. Energy Policy, 50, 464–476.

    Article  Google Scholar 

  • Martínez, P. C. I., & Silveira, S. (2012). Analysis of energy use and CO2 emission in service industries: Evidence from Sweden. Renewable and Sustainable Energy Reviews, 16(7), 5285–5294.

    Article  Google Scholar 

  • Martínez-Zarzoso, I., & Maruotti, A. (2011). The impact of urbanization on CO2 emissions: Evidence from developing countries. Ecological Economics, 70(7), 1344–1353.

    Article  Google Scholar 

  • Nasir, M., & Rehman, F. U. (2011). Environmental Kuznets curve for carbon emissions in Pakistan: An empirical investigation. Energy Policy, 39(3), 1857–1864.

    Article  CAS  Google Scholar 

  • Ozturk, I., & Acaravci, A. (2013). The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in turkey. Energy Economics, 36, 262–267.

    Article  Google Scholar 

  • Pan, X., Uddin, M., & K., Ai, B., Pan, X., & Saima, U. (2019). Influential factors of carbon emissions intensity in OECD countries: Evidence from symbolic regression. Journal of Cleaner Production, 220, 1194–1201.

    Article  Google Scholar 

  • Ping, W., Wu, W., Zhu, B., & Wei, Y. (2013). Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China. Applied Energy, 106, 65–71.

    Article  Google Scholar 

  • Ren, S., Li, X., Yuan, B., Li, D., & Chen, X. (2016). The effects of three types of environmental regulation on eco-efficiency: A cross-region analysis in China. Journal of Cleaner Production, 245–255.

  • Rhee, H. C., & Chung, H. S. (2006). Change in CO2 emission and its transmissions between Korea and Japan using international input-output analysis. Ecological Economics, 58(4), 788–800.

    Article  Google Scholar 

  • Tian, X., Chang, M., Shi, F., & Tanikawa, H. (2014). How does industrial structure change impact carbon dioxide emissions? A comparative analysis focusing on nine provincial regions in China. Environmental Science & Policy, 37, 243–254.

    Article  Google Scholar 

  • Tokarska, K. B. (2018). Countdown to 1.5 °C warming. Nature Geoscience, 11(8), 546–547.

    Article  CAS  Google Scholar 

  • Tomás, R., Ribeiro, F. R., Santos, V., Bordado, J. C., & Gomes, J. (2010). Assessment of the impact of the European CO2 emissions trading scheme on the Portuguese chemical industry. Energy Policy, 38(1), 626–632.

    Article  Google Scholar 

  • Wang, Q., & Su, M. (2019). The effects of urbanization and industrialization on decoupling economic growth from carbon emission-A case study of China. Sustainable Cities and Society, 51, 101758–101758.

    Article  Google Scholar 

  • Wang, H., & Wei, W. (2019). Coordinating technological progress and environmental regulation in co2 mitigation: the optimal levels for OECD countries & emerging economies. Energy Economics, 87, 104510.

    Article  Google Scholar 

  • Wang, Z., Yin, F., Zhang, Y., & Xian, Z. (2012). An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China. Applied Energy, 100, 277–284.

    Article  CAS  Google Scholar 

  • Wang, W., Liu, R., Zhang, M., & Li, H. (2013). Decomposing the decoupling of energy-related CO2 emissions and economic growth in Jiangsu Province. Energy for Sustainable Development, 17(1), 62–71.

    Article  CAS  Google Scholar 

  • Wang, G. F., Deng, X. Z., Wang, J. Y., Zhang, F., & Liang, S. Q. (2019). Carbon emission efficiency in china: a spatial panel data analysis. China Economic Review, 56, 101313.

    Article  Google Scholar 

  • Wang, F., Sun, X., Reiner, D. M., & Wu, M. (2020). Changing trends of the elasticity of China’s carbon emission intensity to industry structure and energy efficiency. Ecological Economics, 86, 104679.

    Google Scholar 

  • Wang, F., Wang, C., Chen, J., Li, Z., & Li, L. (2020). Examining the determinants of energy-related carbon emissions in central Asia: Country-level LMDI and EKC analysis during different phases. Environment, Development and Sustainability, 22, 7743–7769.

    Article  Google Scholar 

  • Xie, Q., Hu, P., Jiang, A., & Li, Y. (2019). Carbon emissions allocation based on satisfaction perspective and data envelopment analysis. Energy Policy, 132, 254–264.

    Article  Google Scholar 

  • Xu, Q., Dong, Y. X., Yang, R., Zhang, H. O., Wang, C. J., & Du, Z. W. (2019). Temporal and spatial differences in carbon emissions in the Pearl River Delta based on multi-resolution emission inventory modeling. Journal of Cleaner Production, 214, 615–622.

    Article  Google Scholar 

  • Zhang, X. H., Zhang, R., Wu, J., Zhang, Y. Z., Lin, L. L., Deng, S. H., Li, L., Yang, G., Yu, X. Y., Qi, H., & Peng, H. (2016). An emergy evaluation of the sustainability of Chinese crop production system during 2000–2010. Ecological Indicators, 60, 622–633.

    Article  Google Scholar 

  • Zheng, J. L., Mi, Z. F., Coffman, D., Milcheva, S., Shan, Y. L., Guan, D. B., & Wang, S. Y. (2019). Regional development and carbon emissions in China. Energy Economics, 81, 25–36.

    Article  Google Scholar 

  • Zhou, X., Jie, Z., & Li, J. (2013). Industrial structural transformation and carbon dioxide emissions in china. Energy Policy, 57, 43–51.

    Article  CAS  Google Scholar 

Download references

Funding

This research was funded by the philosophy and social science planning project of Anhui province, grant number AHSKQ2019D040; Anhui polytechnic university research projects, grant number Xjky05201912; the key research project in humanities and social sciences of education department of Anhui province, grant number SK2019A0106.

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Authors and Affiliations

  1. School of Management and Engineering, Anhui Polytechnic University, Wuhu, 241000, Anhui, China

    Ying Sun, Long Qian & Zhi Liu

  2. Research Institute for Sustainable Operations, Anhui Polytechnic University, Wuhu, 241000, Anhui, China

    Zhi Liu

Authors
  1. Ying Sun
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  2. Long Qian
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  3. Zhi Liu
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Contributions

The present study was designed and conducted collectively by the authors. Conceptualization was done by YS, LQ; data curation was done by LQ; LQ contributed to methodology; supervision was done by ZL; Writing-review & editing.

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Correspondence to Long Qian or Zhi Liu.

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Sun, Y., Qian, L. & Liu, Z. The carbon emissions level of China’s service industry: an analysis of characteristics and influencing factors. Environ Dev Sustain 24, 13557–13582 (2022). https://doi.org/10.1007/s10668-021-02001-y

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