PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Digital empowerment and enterprise carbon risk management : evidence from manufacturing sector

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper addresses the imperative of empowering enterprises to achieve energy savings and emission reductions through digital development amidst the backdrop of peak carbon dioxide emissions and carbon neutrality. This study integrates digital empowerment and enterprise carbon risk management into a unified analytical framework, utilising panel data from listed companies spanning from 2011 to 2020 as research samples. The empirical investigation aims to ascertain whether there exist carbon risks impacting the operational performance of manufacturing enterprises and whether digital empowerment can mitigate these risks. The findings reveal that carbon intensity exerts an inhibitory influence on the enhancement of enterprise performance, indicating the presence of carbon risk issues faced by enterprises. Furthermore, it is observed that these carbon risk challenges escalate over time, a trend supported by robustness tests. Digital empowerment emerges as an effective mechanism in slowing down the carbon risks encountered by enterprises, albeit exhibiting characteristics of time lag. The study identifies notable heterogeneity in the role of digital empowerment in mitigating the carbon risks of enterprises.
Rocznik
Strony
193--202
Opis fizyczny
Bibliogr. 20 poz., tab.
Twórcy
autor
  • Department of Integration of Industry and Education, Changzhi Vocational and Technical College, Changzhi 046000, Shanxi, China
Bibliografia
  • [1] Hoffmann VH, Busch T. Corporate carbon performance indicators: Carbon intensity, dependency, exposure, and risk. J Industrial Ecol. 2008;12(4):505-20.DOI: 10.1111/j.1530-9290.2008.00066.x.
  • [2] Subramaniam N, Wahyuni D, Cooper BJ, Leung P, Wines G. Integration of carbon risks and opportunities in enterprise risk management systems: evidence from Australian firms. J Cleaner Prod. 2015;96(1):407-17. DOI: 10.1016/j.jclepro.2014.02.013.
  • [3] Gao B, Zhang J, Liu X. Does carbon risk amplify environmental uncertainty? Int Rev Economics Finance. 2023;88. DOI: 10.1016/j.iref.2023.06.037.
  • [4] Jung J, Herbohn K, Clarkson P. Carbon risk, carbon risk awareness and the cost of debt financing. J Business Ethics. 2018;150:1151-71. DOI: 10.1007/s10551-016-3207-6.
  • [5] Clarkon PM, Li Y, Richapdson GD, Vasvari FP. Does it really pay to be green? Determinants and consequences of proactive environmental strategies. J Accounting Public Policy. 2011;30(2):122-44. DOI: 10.2139/ssrn.955890.
  • [6] Li DY, Zheng M, Cao CC, Chen X, Ren S, Huang M. The impact of legitimacy pressure and corporate profitability on green innovation: evidence from China top 100. J Cleaner Prod. 2017;141(1):41-9. DOI: 10.1016/j.jclepro.2016.08.123.
  • [7] Dumrose M, Höck A. Corporate carbon-risk and credit-risk: the impact of carbon-risk exposure and management on credit spreads in different regulatory environments. Finance Research Lett. 2023;51:103414. DOI: 10.1016/j.frl.2022.103414.
  • [8] Liu W, Tsai SB, Wu CH, Shao X, Wacławek M. Corporate environmental management and sustainable operation: theory and application. Ecol Chem Eng S. 2022;29(3):283-5. DOI: 10.2478/eces-2022-0020.
  • [9] Filak M, Hoffman S. Benzo(a)pyrene in PM10 - Air monitoring results in Poland. Ecol Chem Eng S. 2023;30(4):557-65. DOI: 10.2478/eces-2023-0048.
  • [10] Li J, Zhan G, Dai X, Qi M, Liu B. Innovation and optimization logic of grassroots digital governance in china under digital empowerment and digital sustainability. Sustainability. 2022;14(24):16470. DOI: 10.3390/su142416470.
  • [11] Ghasemaghaei M, Calic G. Assessing the impact of big data on firm innovation performance: Big data is not always better data. J Business Res. 2020;108:147-62. DOI: 10.1016/j.jbusres.2019.09.062.
  • [12] Tao F, Sui F, Liu A, Qi Q, Zhang M, Song B, et al. Digital twin-driven product design framework. Int J Prod Res. 2019;57(12):3935-53. DOI: 10.1080/00207543.2018.1443229.
  • [13] Adeniji D, Schoop J. In-situ calibrated digital process twin models for resource efficient manufacturing. J Manufacturing Sci Eng. 2022;144(4):041008. DOI: 10.1115/1.4052131.
  • [14] Nambisan S. Digital Entrepreneurship: Toward a digital technology perspective of entrepreneurship. Entrepreneurship Theory Practice. 2017;41(6):1029-55. DOI: 10.1111/etap.12254.
  • [15] Autio E, Nambisan S, Thomas LDW, Wright M. Digital affordances, spatial affordances, and the genesis of entrepreneurial ecosystems. Strategic Entrepreneurship J. 2018;12(1):72-95. DOI: 10.1002/sej.1266.
  • [16] Bertl M, Metsallik J, Ross P. A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder. Front Psychiatry. 2022;13:923613. DOI: 10.3389/fpsyt.2022.923613.
  • [17] Wu CH, Tsai SB, Liu W, Xue FS, Yang KX, Wacławek M. Green environment and sustainable development: methods and applications. Ecol Chem Eng S. 2021;28(4):467-70. DOI: 10.2478/eces-2021-0030.
  • [18] Jiang LH. Research on low carbon financial support strategies from the perspective of eco-environmental protection. Ecol Chem Eng S. 2021;28(4):525-39. DOI: 10.2478/eces-2021-0035.
  • [19] Mubeen R, Han D, Abbas J, Raza S, Bodian W. Examining the relationship between product market competition and Chinese firms performance: the mediating impact of capital structure and moderating influence of firm size. Front Psychol. 2022;12:709678. DOI: 10.3389/fpsyg.2021.709678.
  • [20] Haar J, O’Kane C, Daellenbach U. High performance work systems and innovation in New Zealand SMEs: testing firm size and competitive environment effects. Int J Human Resource Manage. 2022;33(16):3324-52. DOI: 0.1080/09585192.2021.1894213.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-955a4a67-3b09-4bb2-87ac-90f0c7619fb1
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.