This paper explores the asymmetric relationship between renewable energy consumption, non-renewable energy, and terrorism on economic growth of Pakistan. We applied a novel econometric cointegration method known as a nonlinear autoregressive distributed lag modeling (NARDL). Our empirical findings indicate that positive and negative changes have a significant long-run asymmetric relationship between renewable energy, and terrorism on economic growth. We also found a negative and significant effect of non-renewable energy consumption on economic growth. To keep our environment clean and free of emissions, the study specifies policies that rely on renewable energy sources to boost economic growth. However, reduces terrorism has a positive impact on economic growth in the long-run and shows as an influential tool to combat terrorism in Pakistan. These novel results will help policy-makers and government officials to understand better the role of renewable energy and economic growth in Pakistan's development.

中文翻译：

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可再生能源和不可再生能源对巴基斯坦经济增长的不对称影响：非线性分析的新证据

本文探讨了可再生能源消费、不可再生能源和恐怖主义对巴基斯坦经济增长之间的不对称关系。我们应用了一种新的计量经济学协整方法，称为非线性自回归分布式滞后建模 (NARDL)。我们的实证结果表明，可再生能源与恐怖主义对经济增长的影响之间存在显着的长期不对称关系。我们还发现不可再生能源消费对经济增长的负面和显着影响。为了保持我们的环境清洁和无排放，该研究指定了依赖可再生能源来促进经济增长的政策。然而，从长远来看，减少恐怖主义对经济增长具有积极影响，并显示为巴基斯坦打击恐怖主义的有影响力的工具。