Analysis of the Impact of Technological Innovation on Carbon Emission Efficiency in the Logistics Industry

Authors

  • Shushu Wu School of Business Administration, Anhui University of Finance and Economics, Bengbu Anhui 233000 China

DOI:

https://doi.org/10.54097/akevvq36

Keywords:

Technological Innovation, Carbon Emission Efficiency of the Logistics Industry, Agglomeration of the Logistics Industry, Upgrading of the Logistics Industry Structure

Abstract

Under the goals of carbon peaking and carbon neutrality, technological innovation stands as a key driver for the logistics industry's low-carbon transformation, significantly enhancing its carbon emission efficiency. This study utilizes panel data from 30 Chinese provinces (2013 - 2022) to measure technological innovation levels and logistics carbon emission efficiency. By applying the fixed effect model and examining mediating effects, the research uncovers three main findings: Firstly, during the study period, logistics carbon emission efficiency in China generally declined from east to west. Secondly, technological innovation notably improves logistics carbon emission efficiency, with more pronounced emission reduction effects in eastern and western provinces. Thirdly, technological innovation indirectly boosts logistics carbon emission efficiency through industry agglomeration and structural upgrading. These results highlight the importance of regional considerations and technological advancements in promoting sustainable development in the logistics sector.

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References

[1] Bosetti, V., Carraro, C., Galeotti, M., et al. Witch a world induced technical change hybrid model. Hybrid Modeling, 2006, 27(2): 13-38.

[2] Gerlagh, R. Measuring the value of induced technological change. Energy Policy, 2007, 35(11): 5287-5297.

[3] Jin, P. Z., Zhang, Y. B., & Peng, X. The double-edged effect of technological progress on carbon dioxide reduction: Empirical evidence from 35 industries in China's industry. Studies in Science of Science, 2014, 32(5): 706-716.

[4] Fisher, V. K., & Wing, I. S. Accounting for quality: Issues with modeling the impact of R&D on economic growth and carbon emissions in developing economies. Energy Economics, 2008, 30(6): 2771-2784.

[5] Cheng, Y., Sun, Y. X., Wang, X. J., et al. Research on the impact and countermeasures of global scientific and technological innovation on carbon productivity. China Population, Resources and Environment, 2019, 29(9): 30-40.

[6] Wang, X. J., Cheng, Y., et al. Research on the impact mechanism of scientific and technological innovation on carbon emission efficiency in countries along the "Belt and Road". Soft Science, 2019, 33(6): 72-78.

[7] Yang, L. J. Logistics industry agglomeration, technological progress, and total factor productivity of the circulation industry. Journal of Commercial Economics, 2024, (08): 94-97.

[8] Zhang, S. M., Li, Q. Q., & Xu, Y. B. Logistics industry agglomeration, technological innovation, and residents' consumption upgrading. Journal of Commercial Economics, 2023, (10): 89-92.

[9] Zhu, F. Y., & Lai, L. R. Industrial structure upgrading, technological innovation, and green logistics: An empirical study based on the PVAR model. Modern Management Science, 2022, (03): 40-50.

[10] Sun, Z. X., & Liu, Y. Spatio-temporal coupling characteristics and driving mechanisms of industrial structure upgrading and low-carbon efficiency in the logistics industry. Management Modernization, 2022, 42(05): 18-26.

[11] Zhao, S., & Zhao, D. D. The impact and mechanism of the scientific and technological innovation level on agricultural carbon emission efficiency. Ecological Economy, 2023, 39(09): 114-121.

[12] Jiang, T. Mediating and moderating effects in empirical causal inference research. China Industrial Economics, 2022, (05): 100-120.

[13] Li, X. M., & Huang, J. Evolutionary characteristics and convergence analysis of carbon emission efficiency in China's provincial logistics. World Regional Studies, 2024, 33(04): 155-166.

[14] Ma, F., Hu, J. Y., Sun, Q. P., et al. Research on the measurement of carbon emission performance and driving factors of China's inter-provincial logistics industry. Ecological Economy, 2021, 37(09): 27-33+39.

[15] Wang, J., & Liang, H. Y. Analysis of the influencing factors and convergence of total factor productivity in China's logistics industry. Journal of Fuzhou University (Philosophy and Social Sciences Edition), 2013, 27(03): 16-24.

[16] Mu, X. Y., Wang, L., Xu, R., et al. Research on the decoupling and influencing factors of carbon emissions in the logistics industry in western China's provinces. Environmental Science and Technology, 2020, 43(04): 214-219.

[17] Zhang, Y., Wang, Y. M., & Zheng, X. W. Measurement, spatio-temporal evolution, and difference analysis of China's urban scientific and technological innovation level. Science and Technology Management Research, 2024, 44(05): 1-13.

[18] Yan, C. Z., Yin, L. J., & He, B. Logistics industry agglomeration, spatial spillover effects, and agricultural green total factor productivity: An empirical analysis based on provincial data. China Business and Market, 2022, 36(09): 3-16.

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Published

28-10-2025

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Section

Articles

How to Cite

Wu, S. (2025). Analysis of the Impact of Technological Innovation on Carbon Emission Efficiency in the Logistics Industry. International Journal of Energy, 7(3), 14-20. https://doi.org/10.54097/akevvq36