Promoting blockchain technology in low-carbon management to achieve firm performance from a socio-economic perspective: empirical evidence from China
Promoting blockchain technology in low-carbon management to achieve firm performance from a socio-economic perspective: empirical evidence from China
Blockchain technology is a disruptive innovation that can accelerate carbon neutrality while maintaining business growth. However, its full potential has yet to be fully understood due to the complexity of its technical and socio-environmental characteristics. Drawing on socio-technical theory, this study aims to explore the main antecedents and their influencing mechanisms on blockchain-based low-carbon emission management, as well as investigate whether reducing carbon emissions leads to improved firm performance. Using data from 395 online respondents recruited from Chinese companies, the results of PLS-SEM indicate that cost-benefit efficiency, socio-environmental competitive pressure, and environmental legitimacy positively influence both the basic and auxiliary adoption of blockchain in low-carbon emission management. Additionally, relative advantage and regulatory policy partially influence the adoption of blockchain, while technology readiness has no significant effect on either basic or auxiliary adoption. Furthermore, both the basic and auxiliary adoption of blockchain contribute to carbon emission reduction and improve firm performance (i.e., operational, economic, and social performance). The findings of this study will contribute to the growing literature and managerial practice regarding blockchain technology and carbon neutrality.
Blockchain, Carbon neutrality, Firm performance, Low-carbon emission management, Socio-technical theory
Deng, Nianqi
cc063efb-3a2b-477c-9238-e46b2d1e3f4c
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Wang, Junbin
e3a7d473-d65a-4cbb-806c-7112d8bfa054
11 March 2024
Deng, Nianqi
cc063efb-3a2b-477c-9238-e46b2d1e3f4c
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Wang, Junbin
e3a7d473-d65a-4cbb-806c-7112d8bfa054
Deng, Nianqi, Gong, Yu and Wang, Junbin
(2024)
Promoting blockchain technology in low-carbon management to achieve firm performance from a socio-economic perspective: empirical evidence from China.
Journal of Cleaner Production, 448, [141686].
(doi:10.1016/j.jclepro.2024.141686).
Abstract
Blockchain technology is a disruptive innovation that can accelerate carbon neutrality while maintaining business growth. However, its full potential has yet to be fully understood due to the complexity of its technical and socio-environmental characteristics. Drawing on socio-technical theory, this study aims to explore the main antecedents and their influencing mechanisms on blockchain-based low-carbon emission management, as well as investigate whether reducing carbon emissions leads to improved firm performance. Using data from 395 online respondents recruited from Chinese companies, the results of PLS-SEM indicate that cost-benefit efficiency, socio-environmental competitive pressure, and environmental legitimacy positively influence both the basic and auxiliary adoption of blockchain in low-carbon emission management. Additionally, relative advantage and regulatory policy partially influence the adoption of blockchain, while technology readiness has no significant effect on either basic or auxiliary adoption. Furthermore, both the basic and auxiliary adoption of blockchain contribute to carbon emission reduction and improve firm performance (i.e., operational, economic, and social performance). The findings of this study will contribute to the growing literature and managerial practice regarding blockchain technology and carbon neutrality.
Text
Deng et al. (2024) JCP
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Accepted/In Press date: 4 March 2024
e-pub ahead of print date: 5 March 2024
Published date: 11 March 2024
Keywords:
Blockchain, Carbon neutrality, Firm performance, Low-carbon emission management, Socio-technical theory
Identifiers
Local EPrints ID: 489525
URI: http://eprints.soton.ac.uk/id/eprint/489525
ISSN: 0959-6526
PURE UUID: 2c172514-d633-431b-8539-05bdd5d1fe01
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Date deposited: 26 Apr 2024 16:37
Last modified: 06 Jun 2024 01:58
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Author:
Nianqi Deng
Author:
Junbin Wang
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