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21 January 2026

Quantifying Downstream Value Chain Carbon Risk: A Six-Factor Asset Pricing Model for China’s Low-Carbon Transition

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1
School of Economics and Management, China University of Geosciences, Beijing 100083, China
2
MOE Social Science Laboratory of Mineral Resources Security Governance, China University of Geosciences, Beijing 100083, China
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This article belongs to the Special Issue Mathematical Modeling of Energy Transition, Climate Finance, and Sustainable Economic Systems

Abstract

Sustainable finance and carbon risk have attracted substantial interest from both practitioners and scholars. This paper integrates the income-based environmental responsibility framework with financial asset pricing models to investigate how carbon transition risk propagates along value chains and impacts asset returns. By utilizing the Ghosh supply-driven input–output model to quantify downstream value chain carbon emissions as a proxy for the dependence of a company’s revenue streams on high-carbon downstream clients, we construct a novel downstream carbon risk factor (DMC) by sorting stocks into portfolios based on this exposure and forming a factor mimicking long short portfolio. We then integrate this DMC factor into the Fama–French five-factor framework to propose a six-factor model capable of capturing value chain risk transmission. Empirical results of Chinese A-share listed companies demonstrate that firms with high DMC exposure, being vulnerable to carbon transition shocks such as carbon pricing, offer a significant risk premium even after controlling for traditional financial characteristics. This finding provides robust evidence for the carbon premium hypothesis in the world’s largest emerging market and contributes a theoretically grounded and empirically implementable framework for integrating value chain carbon risk into asset pricing analysis.

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