Modeling stock yield reaction to environmental changes: does geopolitical risk matter? : a VECM framework in China
Elain, Mohammad I. and Alsabah, Mariam and Al Saber, Ahmad and Pan, Jiazhu and Ali, Mohammed and Boresli, Naser (2026) Modeling stock yield reaction to environmental changes: does geopolitical risk matter? : a VECM framework in China. International Journal of Energy Economics and Policy, 16 (2). pp. 1083-1096. ISSN 2146-4553 (https://doi.org/10.32479/ijeep.22895)
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Abstract
This paper examines the impact of air pollution on stock market performance, emphasizing geopolitical risk as a mediator. It explores how air pollution's health effects disrupt investor behavior and financial market dynamics, with geopolitical risk bridging the relationship between air quality, emissions policies, and stock performance, thus highlighting the interplay between environmental and financial systems. This study employs the Vector Error Correction Model (VECM) to analyze both short-term and long-term dynamics among the regressors. Using updated data from A-share listed firms on the Shanghai Composite Index, covering the period 2012–2021, the analysis is supported by rigorous stationarity and cointegration tests to ensure the robustness and reliability of the findings. The long-term results indicate that air pollution and geopolitical risk significantly influence stock yield volatility, with deviations from equilibrium gradually corrected over time. In the short term, there is a significant Granger causality between stock yield and both air pollution and geopolitical risk, highlighting their combined impact on stock market performance. The study shows that air quality index negatively affects stock yield by depressing investor sentiment and driving irrational behaviors, emphasizing its role as both a social challenge and a key driver of financial market stability and economic development.
ORCID iDs
Elain, Mohammad I., Alsabah, Mariam, Al Saber, Ahmad, Pan, Jiazhu
ORCID: https://orcid.org/0000-0001-7346-2052, Ali, Mohammed and Boresli, Naser;
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Item type: Article ID code: 95689 Dates: DateEvent30 January 2026Published23 January 2026AcceptedSubjects: Geography. Anthropology. Recreation > Environmental Sciences
Social Sciences > Economic History and Conditions
Social Sciences > Economic Theory > Methodology > Mathematical economics. Quantitative methods
Social Sciences > FinanceDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 03 Mar 2026 11:53 Last modified: 03 Mar 2026 11:53 URI: https://strathprints.strath.ac.uk/id/eprint/95689
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