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Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates

机译：可再生能源消耗和失业：来自80个国家的样本和非线性估计

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摘要

This article contributes to the discussion on the dynamic nexus of renewable energy consumption and unemployment by incorporating nonlinear cointegration and causality analysis. Using a sample of 80 countries spanning the period 1990-2013 and the advanced generation of unit root, cointegration and nonlinear Granger causality methodological approaches in panel data, we obtain mixed results about the impact of renewable energy consumption on unemployment. Although the total findings document a positive impact of renewable energy consumption on unemployment, disaggregated data across specific regions, such as Asia and Latin America, highlight the favourable effect on unemployment, implying that the effect of renewable energy consumption on jobs creation depends on the cost of adopting renewable energy technologies and energy efficiencies that seem to vary across the regions under investigation.
机译：通过结合非线性协整和因果关系分析，本文有助于讨论可再生能源消耗和失业的动态关系。使用1990年至2013年期间的80个国家的样本以及面板数据中最先进的单位根，协整和非线性Granger因果关系方法论方法，我们得出有关可再生能源消费对失业影响的混合结果。尽管总的调查结果表明可再生能源消费对失业具有积极影响，但亚洲和拉丁美洲等特定地区的分类数据突出显示了对失业的有利影响，这意味着可再生能源消费对创造就业机会的影响取决于成本在整个调查区域中采用可再生能源技术和能源效率的情况似乎有所不同。

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