From policy to practice: The mediating role of innovation in renewable energy adoption in OECD nations
Year: 2025
Type: article
Abstract: Renewable energy must replace polluting energy to address environmental issues. Governments are creating measures to address such issues and accelerate renewable energy transition. Though many studies have examined the impact of environmental policies on renewable energy, the process by which environmental policy stringency influences renewable energy use is blurred. This study addresses the gap by investigating how renewable energy innovation mediates the relationship between environmental policy stringency and renewable energy consumption (i.e., renewable energy adoption) using panel data from 32 OECD nations from 2000 to 2019. The result of the system generalized method of moments (GMM) exposes the concealed mechanism, stating that stringent environmental policy, when connected with innovation in the clean energy sector, generates influential cooperation that fosters the adoption of clean energy sources. The Driscoll-Kraay standard error estimation used as a robust method confirms our baseline results derived from the system GMM method. Interestingly, the baseline results align with the sub-sample results across European and Non-European OECD economies. In line with these findings, we propose strict environmental policies and advancing innovation as complementary tactics to endorse renewable energy adoption in OECD economies. • The study highlights how renewable innovation links environmental policy to clean energy use. • GMM and Driscoll-Kraay methods are applied for 32 OECD countries from 2000 to 2019. • Strict environmental policy boosts clean energy adoption by driving renewable innovation. • Income, urbanization, and trade openness also drive renewable energy consumption. • It recommends enforcing strong rules and investing in renewable energy R&D.
Source: Innovation and Green Development
Authors: Anjan Kumar Sahu, Mantu Kumar Mahalik
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,900
OpenAlex ID: W4410392199
