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Cited by 410

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Green loan and subsidy for promoting clean production innovation

Li, Zhenghui, Liao, Gaoke, Wang, Zhenzhen, Huang, Zhehao·2018·Journal of Cleaner Production

Abstract

Abstract Green loan has attracted worldwide attention in recent years due to the increasingly striking environmental problems caused by economic activities. This paper considers a game on the application of green loans for technique innovation among the enterprises, banks and government, and addresses the effectiveness of green loan and government subsidy on promoting clean production. Serial profit-risk models are established and then solved according to the intention of enterprises to technique innovation for promoting clean production. Energy emission is selected as a measure capturing the production effects on environment in this paper. The conditions that enterprises execute technique innovation with loans and that banks approve loans for enterprises are derived. Two threshold values on technique maturity are presented to support these conditions. The most importantly, it is rigorously proved that green loan subsidy provided by the government could improve environmental quality through reducing the energy emissions from enterprises. It is also shown that subsidy not only improves the intention of enterprises to technique innovation, but also increases the innovation risks.

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Crossref · 10.1016/j.jclepro.2018.03.066

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Metadata

Authors
Li, Z., Liao, G., Wang, Z., & Huang, Z.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2018-06
Volume
187
Pages
421-431
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2793602401
Cited by
410
References
1
FWCI
40.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Green loan and subsidy for promoting clean production innovation. https://app.cochat.ai/papers/10.1016/j.jclepro.2018.03.066
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Li, Z., Liao, G., Wang, Z., & Huang, Z. (2018). Green loan and subsidy for promoting clean production innovation. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.03.066

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.