Quantitative Research on Environmental Risk Factors in Green Bond Pricing

Amid the global shift toward climate governance and low-carbon transformation, accurately quantifying environmental risk factors within green bond pricing mechanisms has emerged as a critical issue. Drawing on data from China’s green bond market between 2018 and 2023, this study develops a multifactor pricing model that integrates environmental risk premiums. Through regression analysis, it empirically investigates the effects of environmental reputation, transparency of information disclosure, and third-party certification on bond risk premiums. The results indicate that green-labeled bonds carry, on average, a 42.6 basis point lower risk premium compared to non-green bonds, while third-party certification further reduces this premium by an additional 54.1 basis points. Moreover, a one standard deviation improvement in the quality of environmental information disclosure leads to a reduction in bond financing costs by approximately 18 to 25 basis points. Issuers operating in high-energy-consuming industries bear significantly higher environmental risk premiums relative to those in low-energy-consuming sectors. By integrating an ESG scoring framework into bond pricing, this study reveals the transmission channels of environmental risks into market pricing and provides a theoretical foundation for enhancing pricing benchmarks in the green bond market.

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Publication Details

Journal
Proceedings of Business and Economic Studies
Published
2025-09-08
DOI
https://doi.org/10.26689/pbes.v8i4.11879
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
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article

Quantitative Research on Environmental Risk Factors in Green Bond Pricing

Ruiwen Wang
Proceedings of Business and Economic Studies
Insurance and Financial Risk Management
article

Quantitative Research on Environmental Risk Factors in Green Bond Pricing

Ruiwen Wang
article en

Abstract

Amid the global shift toward climate governance and low-carbon transformation, accurately quantifying environmental risk factors within green bond pricing mechanisms has emerged as a critical issue. Drawing on data from China’s green bond market between 2018 and 2023, this study develops a multifactor pricing model that integrates environmental risk premiums. Through regression analysis, it empirically investigates the effects of environmental reputation, transparency of information disclosure, and third-party certification on bond risk premiums. The results indicate that green-labeled bonds carry, on average, a 42.6 basis point lower risk premium compared to non-green bonds, while third-party certification further reduces this premium by an additional 54.1 basis points. Moreover, a one standard deviation improvement in the quality of environmental information disclosure leads to a reduction in bond financing costs by approximately 18 to 25 basis points. Issuers operating in high-energy-consuming industries bear significantly higher environmental risk premiums relative to those in low-energy-consuming sectors. By integrating an ESG scoring framework into bond pricing, this study reveals the transmission channels of environmental risks into market pricing and provides a theoretical foundation for enhancing pricing benchmarks in the green bond market.

Proceedings of Business and Economic StudiesVol. 8(4)
Fuyang Normal University (CN)
Openalex Percentile: Top 66%
Insurance and Financial Risk Management
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