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Unraveling the interplay between globalization, financial development, economic growth, greenhouse gases, human capital, and renewable energy uptake in Indonesia: multiple econometric approaches. | LitMetric

AI Article Synopsis

  • - The study analyzes how renewable energy usage in Indonesia is influenced by globalization, economic growth, and environmental quality, using time-series data from 1990 to 2020 and advanced statistical methods.
  • - Findings suggest that globalization positively impacts renewable energy through increased trade, foreign direct investment, and the adoption of energy-efficient technologies, while financial development and economic growth also play significant roles.
  • - The research emphasizes the need for supportive policies that enhance financial and environmental development by investing in renewable energy initiatives.

Article Abstract

Addressing global environmental concerns requires the widespread adoption of renewable energy sources. More research is needed to examine the relationships between renewable energy (RE) and globalization, economic growth, and environmental quality in Indonesia. Therefore, we examined how renewable energy usage in Indonesia has changed due to the dynamic effects of globalization, financial development, and environmental quality. Time-series data were analyzed using an autoregressive distributed lag (ARDL) model to test for cointegration and long-run/short-run dynamics between 1990 and 2020. In addition to ARDL bounds testing, we used the Johansen and Engle-Granger cointegration methods for confirmation. Globalization, financial progress, human capital, greenhouse gas emissions, and economic expansion have favorable long- and short-term effects on renewable energy sources. Globalization has enabled Indonesia to expand trade, FDI, and financial investment. It has also increased energy-efficient technology use due to environmental policies. The computed results are robust enough to substitute estimators, such as dynamic ordinary least squares (DOLS), fully modified least squares (FMOLS), and canonical cointegrating regression (CCR). We recommend the implementation of policies that support financial and environmental development by utilizing renewable resources and increasing investments in renewable energy ventures.

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Source
http://dx.doi.org/10.1007/s11356-023-30552-2DOI Listing

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