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The Extended Energy-Growth Nexus: Theory and Empirical Applications advances the established bivariate econometric relationship which inextricably links energy consumpti… Read more
AI & BIG DATA
Save up to 25% on AI & Big Data books, eBooks & Journals
The Extended Energy-Growth Nexus: Theory and Empirical Applications advances the established bivariate econometric relationship which inextricably links energy consumption to economic growth. The book extends this "nexus" to accommodate variables such as globalization, institutional variables, financial variables and the energy "mix." Rooted firmly in the modern literature, it covers empirical applications such as the evaluation of renewable energy incentives, the electricity generation mix, and sustainable development. Each application area incorporates modern econometric methodologies, including VAR, panel VAR, ARDL, panel ARDL, Asymmetric panel ARDL, and Panel Quantile Regression. Throughout chapters are accompanied by illustrative Stata and EViews code, demonstrating their uses in applied research.
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