Politická ekonomie X:X | DOI: 10.18267/j.polek.1476

In the Context of China's Mineral Resource Scarcity: How Does Digitalization Promote Low-carbon Transformation of Corporate Energy?

Xin Zhao ORCID..., Yi He, Hyoungsuk Lee ORCID..., Xiaowei Ma ORCID..., Farhad Taghizadeh-Hesary ORCID..., Zexia Yang ORCID...
Xin Zhao, School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China; Faculty of Economics, Széchenyi Istvàn University, Gyõr, Hungary; Advanced Research Centre, European University of Lefke, Lefke, Northern Cyprus, Turkey
Yi He, School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China
Hyoungsuk Lee, Kookmin University, Department of Commerce and Finance, Seoul, Republic of Korea
Xiaowei Ma, School of Finance, Anhui University of Finance and Economics, Bengbu, PR China
Farhad Taghizadeh-Hesary, TOKAI Research Institute for Environment and Sustainability (TRIES), Tokai University, Japan
Zexia Yang, School of Economics, Fuyang Normal University, Fuyang, PR China

In the context of growing global energy demand and advancing climate change, digital technologies offer opportunities for a low-carbon energy transition. Through such technologies, including big data, artificial intelligence and the internet of things, digitalization enables intelligent optimization, flexible management and efficient operation of energy systems, access to renewable energy, and reducing both energy consumption and carbon emissions. Grounded in the data of listed companies from 2011 to 2020, this study discusses the influence of enterprise digitalization on the low-carbon energy transition. The results show that enterprises’ digital development will boost their low-carbon energy transformation effectively. Digitalization promotes enterprises to achieve this transformation by aiding them in improving green technology innovation, optimizing supply chains and improving internal control level. In addition, a heterogeneity analysis of environmental regulation shows that in regions with strong environmental regulation, the promotion effect of enterprise digitalization on low-carbon energy transformation is more significant. The regional heterogeneity in the results suggests that eastern and central enterprises have a stronger promotion effect on enterprise energy low-carbon transformation in digital transformation. Therefore, such transformations should be regarded as important, and they should be incorporated into environmental protection policy. This would include promoting low-carbon technology innovation, combining environmental protection regulation with carbon emission reduction and implementing suggestions for reducing carbon emissions and sustainable development goals.

Keywords: Mineral resources, digital technology, digital transformation of enterprises, carbon emission reduction, low-carbon energy transformation

Received: August 19, 2024; Revised: November 7, 2024; Accepted: November 25, 2024; Prepublished online: July 14, 2025 

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    References

    1. Antil, A., Saini, N., Sehgal, S., et al. (2023). Effectiveness of metaphorical communication in government campaign on Digitization. FIIB Business Review. https://doi.org/10.1177/23197145231166 Go to original source...
    2. Bai, Q., Gong, Y., Jin, M., et al., (2019). Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory. International Journal of Production Economics, 208, 83-99. https://doi.org/10.1016/j.ijpe.2018.11.008 Go to original source...
    3. Calvo-Porral, C., Faíña-Medín, A. and Nieto-Mengotti, M. (2017). Exploring technology satisfaction: An approach through the flow experience. Computers in Human Behavior, 66, 400-408. https://doi.org/10.1016/j.chb.2016.10.008 Go to original source...
    4. Chapple, L., Clarkson, P. M. and Gold, D. L. (2013). The cost of carbon: Capital market effects of the Proposed Emission Trading Scheme (ETS). Abacus, 49(1), 1-33. https://doi.org/10.1111/abac.12006 Go to original source...
    5. Chelly, A., Nouira, I., Frein, Y., et al. (2019). On the consideration of carbon emissions in modelling-based supply chain literature: the state of the art, relevant features and research gaps. International Journal of Production Research, 57(15-16), 4977-5004. https://doi.org/10.1080/00207543.2018.1497310 Go to original source...
    6. Chen, M. and Wang, K. (2023). The combining and cooperative effects of carbon price and technological innovation on carbon emission reduction: Evidence from China's industrial enterprises. Journal of Environmental Management, 343, 118188. https://doi.org/10.1016/j.jenvman.2023.118188 Go to original source...
    7. Chen, W. (2023). Can low-carbon development force enterprises to make digital transformation? Business Strategy and the Environment, 32(4), 1292-1307. https://doi.org/10.1002/bse.3189 Go to original source...
    8. Chen, Y. and Xu, J. (2023) Digital transformation and firm cost stickiness: Evidence from China. Finance Research Letters, 52, 103510. https://doi.org/10.1016/j.frl.2022.103510 Go to original source...
    9. Cheng, Q., Goh, B. W. and Kim, J. B. (2018). Internal control and operational efficiency. Contemporary Accounting Research, 35(2), 1102-1139. https://doi.org/10.1111/1911-3846.12409 Go to original source...
    10. Cui, H.-Y. and Cao, Y.-Q. (2024). Do smart cities improve energy efficiency? A test of spatial effects and mechanisms. Sustainable Cities and Society, 101, 105124. https://doi.org/10.1016/j.scs.2023.105124 Go to original source...
    11. Duch-Brown, N. and Rossetti, F. (2020). Digital platforms across the European regional energy markets. Energy Policy, 144, 111612. https://doi.org/10.1016/j.enpol.2020.111612 Go to original source...
    12. Han, D., Ding, Y., Shi, Z., et al. (2022). The impact of digital economy on total factor carbon productivity: The threshold effect of technology accumulation. Environmental Science and Pollution Research, 29(37), 55691-55706. https://doi.org/10.1007/s11356-022-19721-x Go to original source...
    13. Han, K.-H., Baek, J.-W., Lim, T.-W., et al. (2023) Digital transformation of metal casting process using sand 3D printing technology with a novel methodology of casting design inside a core. International Journal of Metalcasting, 1-6. https://doi.org/10.1007/s40962-023-01088-5 Go to original source...
    14. Hao, X., Li, Y., Ren, S., et al. (2023). The role of digitalization on green economic growth: Does industrial structure optimization and green innovation matter? Journal of Environmental Management, 325(A), 116504. https://doi.org/10.1016/j.jenvman.2022.116504 Go to original source...
    15. He, Y. and Xie, C. (2022). Measurement, decomposition and emission reduction effects of digital global value chains. Journal of Cleaner Production, 378, 134307. https://doi.org/10.1016/j.jclepro.2022.134307 Go to original source...
    16. Hoyk, E., Szalai, Á., Palkovics, A., et al. (2022). Policy gaps related to sustainability in Hungarian agribusiness development. Agronomy, 12(9), 2084. https://doi.org/10.3390/agronomy12092084 Go to original source...
    17. Huo, H., Liu, H., Bao, X., et al. (2022). Game Analysis of Supply Chain Enterprises' Choice of Carbon Emission Reduction Behavior under Environmental Regulation and Consumers' Low Carbon Preference. Discrete Dynamics in Nature and Society, 2022(1), 3013289. https://doi.org/10.1155/2022/3013289 Go to original source...
    18. Jacob, N. R., Aggarwal, S., Saini, N., et al. (2023). Sustainability in the global value chain - a scientometric analysis. Environmental Science and Pollution Research, 30(45), 100301-100324. https://doi.org/10.1007/s11356-023-29381-0 Go to original source...
    19. Jiang, K., Du, X. and Chen, Z. (2022). Firms' digitalization and stock price crash risk. International Review of Financial Analysis, 82, 102196. https://doi.org/10.1016/j.irfa.2022.102196 Go to original source...
    20. Jiang, X., Wang, L., Cao, B., et al. (2021). Benefit distribution and stability analysis of enterprises' technological innovation cooperation alliance. Computers & Industrial Engineering, 161, 107637. https://doi.org/10.1016/j.cie.2021.107637 Go to original source...
    21. Kaur, S., Aggarwal, S. and Sarwar, S. (2023). Trade balance, monetary supply, commodity prices and greener energy growth: Contextual evidence from BRICS economies in the lens of sustainability. Environmental Science and Pollution Research, 30(29), 73928-73940. https://doi.org/10.1007/s11356-023-27475-3 Go to original source...
    22. Khan, Z., Ali, M., Kirikkaleli, D., et al. (2020) The impact of technological innovation and public - private partnership investment on sustainable environment in China: Consumption - based carbon emissions analysis. Sustainable Development, 28(5), 1317-1330. https://doi.org/10.1002/sd.2086 Go to original source...
    23. Kuang, Y., Li, Z. and Pan, C. (2022) The Construction of Conceptual Framework of Enterprise Internal Control Evaluation Report. Journal of Sensors, 2022(1), 2753001. https://doi.org/10.1155/2022/2753001 Go to original source...
    24. Li, D., Zhang, F. and Tian, Y. (2020). Research on enterprise management integration mechanism and information platform by internet of things. Journal of Intelligent & Fuzzy Systems, 38(1), 163-173. https://doi.org/10.3233/JIFS-179391 Go to original source...
    25. Li, X. (2020). The effectiveness of internal control and innovation performance: An intermediary effect based on corporate social responsibility. PLOS One, 15(6), e0234506. https://doi.org/10.1371/journal.pone.0234506 Go to original source...
    26. Li, T., Wen, J., Zeng, D., et al. (2022). Has enterprise digital transformation improved the efficiency of enterprise technological innovation? A case study on Chinese listed companies. Mathematical Biosciences and Engineering, 19(12), 12632-12654. https://doi.org/10.3934/mbe.2022590 Go to original source...
    27. Li, Xing, Wu, T., Zhang, H., et al. (2022). Digital technology adoption and sustainable development performance of strategic emerging Industries: The mediating role of digital technology capability and the moderating role of digital strategy. Journal of Organizational and End User Computing (JOEUC), 34(8), 1-18. https://doi.org/10.4018/JOEUC.315645 Go to original source...
    28. Lin, B. and Huang, C (2023). Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data. Energy, 276, 127601. https://doi.org/10.1016/j.energy.2023.127601 Go to original source...
    29. Li, H. Y., Liu, Q. and Ye, H. Z. (2023). Digital development influencing mechanism on green innovation performance: a perspective of green innovation network. IEEE Access, 11, 22490-22504. https://doi.org/10.1109/ACCESS.2023.3252912 Go to original source...
    30. Lin, B. and Zhu, J. (2019). Determinants of renewable energy technological innovation in China under CO2 emissions constraint. Journal of Environmental Management, 247, 662-671. https://doi.org/10.1016/j.jenvman.2019.06.121 Go to original source...
    31. Liu, L., Zhang, Y., Gong, X., et al. (2022). Impact of digital economy development on carbon emission efficiency: A spatial econometric analysis based on Chinese provinces and cities. International Journal of Environmental Research and Public Health, 19(22), 14838. https://doi.org/10.3390/ijerph192214838 Go to original source...
    32. Liu, X., Liu, F. and Ren, X. (2023). Firms' digitalization in manufacturing and the structure and direction of green innovation. Journal of Environmental Management, 335, 117525. https://doi.org/10.1016/j.jenvman.2023.117525 Go to original source...
    33. Ma, R. and Lin, B. (2023). Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization. Applied Energy, 345, 121308. https://doi.org/10.1016/j.apenergy.2023.121308 Go to original source...
    34. Neligan, A., Baumgartner, R. J., Geissdoerfer, M., et al. (2023). Circular disruption: Digitalisation as a driver of circular economy business models. Business Strategy and the Environment, 32(3), 1175-1188. https://doi.org/10.1002/bse.3100 Go to original source...
    35. Quito, B., del Río, M. D. L. C., Álvarez-García, J., et al. (2023). Spatiotemporal influencing factors of energy efficiency in 43 European countries: a spatial econometric analysis. Renewable and Sustainable Energy Reviews, 182, 113340. https://doi.org/10.1016/j.rser.2023.113340 Go to original source...
    36. Ramdani, B., Raja, S. and Kayumova, M. (2022). Digital innovation in SMEs: A systematic review, synthesis and research agenda. Information Technology for Development, 28(1), 56-80. https://doi.org/10.1080/02681102.2021.1893148 Go to original source...
    37. Sepasgozar, S. M. E. (2021). Differentiating digital twin from digital shadow: Elucidating a paradigm shift to expedite a smart, sustainable built environment. Buildings, 11(4), 151. https://doi.org/10.3390/buildings11040151 Go to original source...
    38. Shang, Y., Raza, S. A., Huo, Z., et al. (2023). Does enterprise digital transformation contribute to the carbon emission reduction? Micro-level evidence from China. International Review of Economics & Finance, 86, 1-13. https://doi.org/10.1016/j.iref.2023.02.019 Go to original source...
    39. Su, J., Wei, Y., Wang, S., et al. (2023). The impact of digital transformation on the total factor productivity of heavily polluting enterprises. Scientific Reports, 13(1), 6386. https://doi.org/10.1038/s41598-023-33553-w Go to original source...
    40. Sun, C., Zhang, Z., Vochozka, M., et al. (2022). Enterprise digital transformation and debt financing cost in China? A-share listed companies. Oeconomia Copernicana, 13(3), 783-829. https://doi.org/10.24136/oc.2022.023 Go to original source...
    41. Usman, O., Nwani, C. and Ozkan, O. (2024). Role of household energy efficiency in shaping policy directives toward clean electricity transition in the United States: A nonparametric multivariate QQR approach. Sustainable Energy Technologies and Assessments, 64, 103741. https://doi.org/10.1016/j.seta.2024.103741 Go to original source...
    42. Wang, B. J., Zhao, J. L. and Wei, Y. X. (2019). Carbon emission quota allocating on coal and electric power enterprises under carbon trading pilot in China: Mathematical formulation and solution technique. Journal of Cleaner Production, 239, 118104. https://doi.org/10.1016/j.jclepro.2019.118104 Go to original source...
    43. Wang, L., Liu, S. and Xiong, W. (2022). The impact of digital transformation on corporate environment performance: Evidence from China. International Journal of Environmental Research and Public Health, 19(19), 12846. https://doi.org/10.3390/ijerph191912846 Go to original source...
    44. Wassmann, R., Nelson, K. M., Bui, Y. T., et al. (2023). Context-specific assessments of carbon footprints of the rice value chain: From product labeling to potential mitigation impacts. The International Journal of Life Cycle Assessment, 1-13. https://doi.org/10.1007/s11367-023-02176-8 Go to original source...
    45. Wei, Y., Zhu, R. and Tan, L. (2022). Emission trading scheme, technological innovation and competitiveness: evidence from China's thermal power enterprises. Journal of Environmental Management, 320, 115874. https://doi.org/10.1016/j.jenvman.2022.115874 Go to original source...
    46. Wen, H., Wen, C. and Lee, C.-C. (2022). Impact of digitalization and environmental regulation on total factor productivity. Information Economics and Policy, 61, 101007. https://doi.org/10.1016/j.infoecopol.2022.101007 Go to original source...
    47. Wu, K., Fu, Y. and Kong, D. (2022) Does the digital transformation of enterprises affect stock price crash risk? Finance Research Letters, 48, 102888. https://doi.org/10.1016/j.frl.2022.102888 Go to original source...
    48. Xu, Q., Li, X. and Guo, F. (2023). Digital transformation and environmental performance: Evidence from Chinese resource - based enterprises. Corporate Social Responsibility and Environmental Management, 30(4), 1816-1840. https://doi.org/10.1002/csr.2457 Go to original source...
    49. Yu, H.-C. and Tsai, B.-Y. (2018). Environmental policy and sustainable development: An empirical study on carbon reduction among Chinese enterprises. Corporate Social Responsibility and Environmental Management, 25(5), 1019-1026. https://doi.org/10.1002/csr.1499 Go to original source...
    50. Zhao, R., Liu, Y., Zhang, N., et al. (2017). An optimization model for green supply chain management by using a big data analytic approach. Journal of Cleaner Production, 142(2), 1085-1097. https://doi.org/10.1016/j.jclepro.2016.03.006 Go to original source...
    51. Zhao, Xu., Sun, X., Zhao, L., et al. (2022) Can the digital transformation of manufacturing enterprises promote enterprise innovation? Business Process Management Journal, 28(4), 960-982. https://doi.org/10.1108/BPMJ-01-2022-0018 Go to original source...
    52. Zhang, C. and Lin, J. (2022). An empirical study of environmental regulation on carbon emission efficiency in China. Energy Science & Engineering, 10(12), 4756-4767. https://doi.org/10.1002/ese3.1306 Go to original source...
    53. Zhang, H. (2023). Pathways to carbon neutrality in major exporting countries: The threshold effect of digital transition. Environmental Science and Pollution Research, 30(3), 7522-7542. https://doi.org/10.1007/s11356-022-22592-x Go to original source...
    54. Zhang, J., Lyu, Y., Li, Y., et al. (2022). Digital economy: An innovation driving factor for low-carbon development. Environmental Impact Assessment Review, 96, 106821. https://doi.org/10.1016/j.eiar.2022.106821 Go to original source...
    55. Zhang, T., Shi, Z. Z., Shi, Y. R., et al. (2022). Enterprise digital transformation and production efficiency: Mechanism analysis and empirical research. Economic research-Ekonomska istra¾ivanja, 35(1), 2781-2792. https://doi.org/10.1080/1331677X.2021.1980731 Go to original source...
    56. Zhao, Xi., Zeng, S., Ke, X., et al. (2023). The impact of green credit on energy efficiency from a green innovation perspective: Empirical evidence from China based on a spatial Durbin model. Energy Strategy Reviews, 50, 101211. https://doi.org/10.1016/j.esr.2023.101211 Go to original source...
    57. Zhao, X., Zhai, G., Charles, V., Gherman, T., Lee, H., Pan, T. and Shang, Y. (2024). Enhancing enterprise investment efficiency through artificial intelligence: The role of accounting information transparency. Socio-Economic Planning Sciences, 96, 102092. https://doi.org/10.1016/j.seps.2024.102092 Go to original source...

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