Climate Innovation and Carbon Emissions: Evidence from Supply Chain Networks

Ulrich Hege, Kai Li and Yifei Zhang
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Ulrich Hege: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Kai Li: Peking University HSBC Business School, Foxcombe Hall, Boars Hill, Oxford OX1 5HR, The UK.
Yifei Zhang: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: We study the effect of climate-related innovation on carbon emissions by analyzing supply chain networks. We find that climate innovation reduces carbon emissions at customer firms, driven by product innovations. The effect is economically significant, dominated by the most emission-intensive customer firms, gradually increases over a five-year horizon, and is significant for Scope 1 and Scope 2 emissions. We then look at the diffusion of climate innovation to new customers. We find that customers ex-hibit a strong preference for suppliers with new climate patents, that climate patents allow suppliers to attract new customers, especially customers with high environmental ratings or a large carbon footprint, and that these new customers subsequently also reduce their emissions. We use the quasi-random assignment of patent examiners and the exogenous technological obsolescence of climate patents as instruments to suggest a causal interpretation of the main findings.

Keywords: Supply chains; New customer firms; Business stealing; Carbon emissions; Environmental scores; Patent examiner leniency; Technology obsoles-cence; Climate innovation (search for similar items in EconPapers)
Date: 2025-11-06
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