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Research Article

The Influence of Environmental Policies and Technologies on the Transition to Renewable Energy

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DOI:

10.3791/71760

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August 7th, 2026

In This Article

Summary

This study of 21 OECD countries (2000-2020) finds that the Environmental Policy Index, greenhouse gas emissions, and environment-related technology facilitate renewable energy adoption, while Green GDP hinders it. A two-way causal relationship exists among all variables. The pace of transition remains insufficient, requiring policy reforms and pollution taxes.

Abstract

Renewable energy capacity (REC) plays a central role in achieving sustainable development and carbon neutrality, yet the effects of ecological policy performance, environmental quality, technological innovation, and green economic growth on REC remain heterogeneous across countries and stages of renewable energy development. This study investigates the determinants of renewable energy capacity across 21 OECD countries from 2000 to 2020, focusing on ecological policy performance (EPI), greenhouse gas (GHG) emissions, eco-friendly technology (EFT), and Green GDP. The empirical framework employs the Panel Autoregressive Distributed Lag (ARDL) bounds testing approach to examine long-run cointegration, the Method of Moments Quantile Regression (MMQR) to capture heterogeneous effects across the conditional distribution of REC, and panel Granger causality tests to determine the direction of causal relationships. The Panel ARDL bounds test confirms a stable long-run equilibrium relationship among the variables (F = 7.845, p < 0.01). MMQR results show that EPI exerts a positive and progressively stronger effect across quantiles (0.092–0.212), while EFT exhibits the steepest positive gradient (0.131–0.221) and demonstrates bidirectional causality with REC, indicating a reinforcing cycle between technological innovation and renewable energy deployment. GHG emissions have a modest positive association with REC (0.048–0.082) but do not unidirectionally cause REC; instead, higher renewable energy capacity significantly reduces emissions. Green GDP consistently exhibits a negative effect on REC (−0.348 to −0.138), although this effect weakens at higher renewable energy capacity quantiles, suggesting a transitional adjustment during the shift toward a greener economy. These findings indicate that the effects of environmental policy, technological innovation, emissions, and green economic performance are stage-dependent, highlighting the need for deployment-specific policy frameworks, sustained investment in green research and development, and complementary policy instruments to mitigate short-term adjustment costs while accelerating the renewable energy transition.

Introduction

Escalating global energy demand has intensified the need for a rapid transition to clean energy sources. Although renewable energy accounted for approximately 30% in solar energy supply growth, fossil fuels continue to dominate incremental energy demand, resulting in the continued accumulation of carbon dioxide (CO2) emissions and threatening the achievement of the Paris Agreement targets1. A systematic understanding of sustainable energy investment trends, as illustrated through the scientific mapping and meta-analysis presented in Financing the Future: Insights into Sustainable Energy Investments, highlights the convergence of poli....

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Protocol

Research philosophy and design
This study adopts a positivist research philosophy, assuming that the determinants of renewable energy capacity (REC) can be objectively examined using quantitative panel data analysis. A longitudinal, cross-country comparative research design is employed to investigate the long-run relationships between renewable energy capacity and its determinants across 21 Organization for Economic Co-operation and Development (OECD) countries over the period 2000–2020. Guided by the Kaya Identity, a deductive-analytic approach is used to develop the empirical model and test the hypothesized relationships among renewable energy c....

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Results

Descriptive statistics
The distributional characteristics of the study variables were examined before econometric estimation. Table 2 summarizes the descriptive statistics for the log-transformed variables across 21 OECD countries during 2000–2020. Renewable energy capacity (REC), ecological performance index (EPI), greenhouse gas (GHG) emissions, eco-friendly technology (EFT), and Green GDP exhibited substantial cross-country and temporal variation, with standard deviations .......

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Discussion

The present study examined the determinants of renewable energy capacity across 21 OECD countries during 2000–2020 by integrating environmental policy performance, greenhouse gas (GHG) emissions, eco-friendly technology (EFT), and Green GDP within a Method of Moments Quantile Regression (MMQR) framework. The findings reveal substantial heterogeneity in the conditional distribution of renewable energy capacity, indicating that the effects of environmental, technological, and economic factors vary with countries'.......

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Disclosures

All authors declare no conflicts of interest.

Acknowledgements

This work is supported by the Philosophy and Social Science Research Project of Jiangsu Provincial Department of Education (2022SJYB2268).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
CIPS unit root testStataCorpStata 18Implemented using the xtcips or multipurt command for the Cross-sectionally Augmented Im-Pesaran-Shin panel unit root test.
Cross-sectional dependence (CD) testStataCorpStata 18Implemented using the xtcsd command to perform the Pesaran CD test.
Dumitrescu–Hurlin panel Granger non-causality testStataCorpStata 18Implemented using the xtgcause command for panel causality analysis.
Eco-friendly technology (EFT)OECD StatisticsN/AData on environment-related patent applications retrieved from the OECD Statistics database (https://stats.oecd.org/).
Ecological Performance Index (EPI)OECD StatisticsN/AData retrieved from the OECD Statistics database (https://stats.oecd.org/).
EViewsIHS Global Inc.Version 14Alternative statistical analysis software for panel econometrics.
Green GDPWorld BankN/AData retrieved from the World Bank DataBank (https://databank.worldbank.org/). Specifically, data on Adjusted Net Savings, which is used to calculate Green GDP.
Greenhouse gas (GHG) emissionsOECD StatisticsN/AData retrieved from the OECD Statistics database (https://stats.oecd.org/).
Method of Moments Quantile Regression (MMQR)StataCorpStata 18Implemented using the mmqreg command, which must be installed from the Statistical Software Components (SSC) archive.
Pesaran–Yamagata slope heterogeneity testStataCorpStata 18Implemented using the xttest3 or xthetero command.
RR FoundationVersion 4.6.0 or higherOpen-source alternative for statistical computing.
Renewable energy capacity (REC)OECD StatisticsN/AData retrieved from the OECD Statistics database (https://stats.oecd.org/).
StataStataCorpVersion 18Primary software used for all statistical analyses, including diagnostic testing, cointegration, quantile regression, and panel causality tests.
Westerlund panel cointegration testStataCorpStata 18Implemented using the xtwest command, which must be installed from the SSC

References

  1. Hassan Q, et al. The renewable energy role in the global energy Transformations. Renewable Energy Focus. 2024 Mar 1;48:100545.
  2. Wang Z, et al. The transition of renewable energy and ecological sustainability through environmental policy stringency: Estimations from advanced panel estimators. Renew Energy. 2022;188:70-80.
  3. Zhang D, Kong Q. Green energy transition and sustainable development of energy firms: An assessment of renewable energy policy. Energy Econ. 2022;111:106060.
  4. Zhou X, et al. Transition to renewable energy and environmental technologies: The role of economic policy uncertainty in the top five polluted economies. J Environ Manage. 2022;313....

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Tags

Technological InnovationGreen Economic GrowthGreenhouse Gas EmissionsRenewable Energy CapacityEcological Policy PerformancePanel ARDLQuantile RegressionGranger Causality

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