Abstract
This study analyzes the influence of financial technologies, digitalization, institutional quality, and human capital on natural resources rent during 2002–2020 in selected OECD economies. It identifies the diverse impact of selected explanatory variables at three ranges of quantiles (lower, middle, and higher) through the method of moments quantile regression (MMQR) along with the long-run coefficients via fully modified ordinary least squares (FM-OLS), fixed effects OLS, and dynamic ordinary least squares (OLS) regression, respectively. From the initial results, it is inferred that there exists a cross-sectional dependence, heterogeneity in the slope coefficients, panel cointegration, and stationarity in the data. The results show that financial technologies and digitalization reduce the dependency on natural resources. Likewise, human development and institutional quality lead to lower natural resources dependency; however, their marginal impact varies across different quantiles. The results show that financial technologies and digitalization effects are stronger at higher quantiles. Likewise, the influence of digitalization on natural resource rent is highly significant and negative at the highest quantile. These results offer valuable policy recommendations.
| Original language | English |
|---|---|
| Article number | 103362 |
| Journal | Resources Policy |
| Volume | 81 |
| DOIs | |
| Publication status | Published - Mar 2023 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- Digitalization
- Financial technologies
- Governance
- Human capital
- Natural resources
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