The impact of renewable energy consumption on unemployment rates in Uzbekistan: An ARDL approach
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DOIhttp://dx.doi.org/10.21511/ee.16(1).2025.06
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Article InfoVolume 16 2025, Issue #1, pp. 78-88
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This study investigates the intricate interplay between the utilization of renewable energy sources and the fluctuations in unemployment rates in Uzbekistan during the period from 2000 to 2022, utilizing the Autoregressive Distributed Lag model. The analysis leverages World Bank data to explore both short-term and long-term impacts, offering critical insights for policymakers and stakeholders. The findings reveal that an increase in renewable energy consumption has a statistically significant and negative impact on unemployment rates in the long run, with a 1% rise in renewable energy usage leading to a 1.86% decrease in unemployment. In addition, gross fixed capital formation and government expenditure significantly contribute to job creation, while domestic credit to the private sector shows a positive association with unemployment, suggesting inefficiencies in credit allocation. The results emphasize the crucial role of strategic investments in renewable energy as a pathway to address economic and environmental challenges. By promoting renewable energy initiatives, Uzbekistan can align its economic growth with sustainability goals, reduce carbon emissions, and create employment opportunities. This study provides empirical evidence supporting the expansion of renewable energy infrastructure as a means to foster economic development and social well-being. It also underscores the necessity of enhancing financial policy frameworks to ensure efficient credit distribution and maximize the employment benefits of renewable energy projects. The policy recommendations derived from this study advocate for targeted investments, financial sector reforms, and the development of specialized training programs to cultivate a skilled workforce in renewable energy sectors.
- Keywords
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JEL Classification (Paper profile tab)Q20, C50
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References33
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Tables7
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Figures0
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- Table 1. Descriptive statistics
- Table 2. Correlation analysis
- Table 3. Unit root tests: With intercept only
- Table 4. Bound test results
- Table 5. Long-run coefficients ARDL (1,1,0,0,0)
- Table 6. ECM form
- Table 7. Diagnostic tests
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