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Shaping net zero innovation trajectories: The role of public investment in climate-tech innovation - Data and Code

Year: 2026

Type: article

Abstract: This repository contains the Stata and R scripts used for the descriptive statistics and econometric analyses for Shaping net zero innovation trajectories: The role of public investment in climate-tech innovation [link to the paper upon publication]. The analysis consists of several components: descriptive statistics, fixed-effects regression models, event-study analyses, discrete-time hazard models, and robustness checks. The repository also contains the numerical data underlying the figures. The underlying proprietary company and investment data are not publicly available.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23365954

Authors: Fischer, Dominik, Schöberl, Isabel, Surana, Kavita, Doblinger, Claudia

Institutions: Technical University of Munich, Vienna University of Economics and Business

Language: English

Topic: Climate Change Policy and Economics

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Climate action, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7221833625

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