School of Management and Economics, Department of Management Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China.
COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan.
Environ Sci Pollut Res Int. 2018 Nov;25(31):31616-31629. doi: 10.1007/s11356-018-3059-y. Epub 2018 Sep 11.
The energy sector has become the largest contributor to greenhouse gas (GHG) emissions. Among these GHG emissions, most threatening is CO emission which comes from the consumption of fossil fuels. This empirical work analyzes the roles of renewable energy consumption and non-renewable energy consumption in CO emissions in Pakistan. The empirical evidence is based on an auto-regressive distributive lag (ARDL) model of data from 1970 to 2016. The disaggregate analysis reveals that renewable energy consumption has an insignificant impact on CO emission in Pakistan and that, in the non-renewable energy model, natural gas and coal are the main contributors to the level of pollution in Pakistan. Economic growth positively contributes to CO emission in the renewable energy model but not in the non-renewable energy model. Policies that emphasize the contribution of renewable energy to economic growth and that add more clean energy into the energy mix are suggested.
能源部门已成为温室气体(GHG)排放的最大贡献者。在这些温室气体排放中,最具威胁的是来自化石燃料消耗的 CO 排放。这项实证研究分析了可再生能源消费和不可再生能源消费在巴基斯坦 CO 排放中的作用。实证证据基于 1970 年至 2016 年数据的自回归分布滞后(ARDL)模型。细分分析表明,可再生能源消费对巴基斯坦的 CO 排放没有显著影响,而在不可再生能源模型中,天然气和煤炭是巴基斯坦污染水平的主要贡献者。经济增长对可再生能源模型中的 CO 排放有积极贡献,但对不可再生能源模型没有贡献。建议采取强调可再生能源对经济增长的贡献并在能源组合中增加更多清洁能源的政策。