Leveraging Information Technology and Data Analytics for Sustainable Corporate Practices: A Case Study on the Impact of Green Finance Policies

This research looks at how green‑finance policies affect a company’s environmental performance. It uses data analytics and econometric modeling to measure the impact. The study centers on the green‑finance reform and innovation pilot zones that China created in 2017. It analyzes panel data from A‑share listed firms covering the years 2008 through 2021. To test the policy’s effect, the authors build a difference‑in‑differences (DID) model. The main indicator of environmental performance is each firm’s investment in environmental protection. The results show that green‑finance policies raise corporate environmental performance, and the effect is statistically significant at the 1 % level. The authors confirm the finding with parallel‑trend and placebo tests. For

B.Tech students, the paper offers a starting point for building data‑analytics pipelines that handle both financial and environmental data. Students can create dashboards to display investment trends, run DID regressions with statistical software, and model how the policy might affect different industry sectors. A key limitation is that the analysis relies on historical data from Chinese A‑share listed companies. Applying the same framework elsewhere—or to smaller firms—will likely require adjustments.

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