Green innovation output in the supply chain network with environmental information disclosure: an empirical analysis of Chinese listed firms
Green innovation output in the supply chain network with environmental information disclosure: an empirical analysis of Chinese listed firms
Supply chain networks affect the ability of firms to obtain resources, and to meet the requirements of sustainable development, firms further seek green innovation from supply chain networks. Based on this context, we construct a supply chain network system, explore the influence of supply chain network power and network cohesion on corporate green innovation output, and discuss the potential moderating effect of corporate environmental information disclosure. We use an empirical sample comprising 1048 A-share listed firms in China from 2012 to 2019 to construct a supply chain network for focal firms. We also develop the focal firms' environmental information disclosure index via the environmental information revealed in the firms' annual and corporate social responsibility reports. Negative binomial model regression is adopted to analyse how supply chain network structures affect green innovation output. Our results show that both the network power and cohesion of the supply chain network positively influence corporate green innovation output, but the interaction of network power and cohesion negatively affects corporate green innovation, which suggests that excessive green knowledge and information can overload focal firms and reduce the efficiency of knowledge and information search. Furthermore, the empirical results indicate that environmental information disclosure positively moderates the relationship between network power and green innovation output as well as that between network cohesion and green innovation output. By analysing the factors influencing corporate green innovation output from a network perspective, we provide new guidance for sustainable corporate development.
Environmental information disclosure, Green innovation, Social capital theory, Supply chain network
Wang, Liukai
1ea2c3e6-95e6-4912-952a-54a53e2da059
Li, Min
07e6909c-f425-4f64-83d8-8f73776fb5c3
Wang, Weiqing
80f1fd16-ca01-426a-9569-3b21e17b3299
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Xiong, Yu
7d2bcb97-92ae-41b2-9e53-c32de16c9e56
1 February 2023
Wang, Liukai
1ea2c3e6-95e6-4912-952a-54a53e2da059
Li, Min
07e6909c-f425-4f64-83d8-8f73776fb5c3
Wang, Weiqing
80f1fd16-ca01-426a-9569-3b21e17b3299
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Xiong, Yu
7d2bcb97-92ae-41b2-9e53-c32de16c9e56
Wang, Liukai, Li, Min, Wang, Weiqing, Gong, Yu and Xiong, Yu
(2023)
Green innovation output in the supply chain network with environmental information disclosure: an empirical analysis of Chinese listed firms.
International Journal of Production Economics, 256, [108745].
(doi:10.1016/j.ijpe.2022.108745).
Abstract
Supply chain networks affect the ability of firms to obtain resources, and to meet the requirements of sustainable development, firms further seek green innovation from supply chain networks. Based on this context, we construct a supply chain network system, explore the influence of supply chain network power and network cohesion on corporate green innovation output, and discuss the potential moderating effect of corporate environmental information disclosure. We use an empirical sample comprising 1048 A-share listed firms in China from 2012 to 2019 to construct a supply chain network for focal firms. We also develop the focal firms' environmental information disclosure index via the environmental information revealed in the firms' annual and corporate social responsibility reports. Negative binomial model regression is adopted to analyse how supply chain network structures affect green innovation output. Our results show that both the network power and cohesion of the supply chain network positively influence corporate green innovation output, but the interaction of network power and cohesion negatively affects corporate green innovation, which suggests that excessive green knowledge and information can overload focal firms and reduce the efficiency of knowledge and information search. Furthermore, the empirical results indicate that environmental information disclosure positively moderates the relationship between network power and green innovation output as well as that between network cohesion and green innovation output. By analysing the factors influencing corporate green innovation output from a network perspective, we provide new guidance for sustainable corporate development.
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More information
Accepted/In Press date: 4 December 2022
e-pub ahead of print date: 9 December 2022
Published date: 1 February 2023
Additional Information:
Funding Information:
The authors gratefully acknowledge financial support from the China Postdoctoral Science Foundation (No. 2021M700380 ), the National Natural Science Foundation of China ( 71729001 , 72025101 ), and the Fundamental Research Funds for the Central Universities (No. FRF-DF-20-11 , FRF-TP-22-060A1 ).
Publisher Copyright:
© 2022 The Authors
Keywords:
Environmental information disclosure, Green innovation, Social capital theory, Supply chain network
Identifiers
Local EPrints ID: 475108
URI: http://eprints.soton.ac.uk/id/eprint/475108
ISSN: 0925-5273
PURE UUID: efa992d4-b673-4674-b88a-502ba0534adc
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Date deposited: 10 Mar 2023 17:31
Last modified: 18 Mar 2024 03:40
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Author:
Liukai Wang
Author:
Min Li
Author:
Weiqing Wang
Author:
Yu Xiong
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