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首页> 外文期刊>Journal of Cleaner Production >Investigating the nexus between education expenditure, female employers, renewable energy consumption and CO_2 emission: Evidence from China
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Investigating the nexus between education expenditure, female employers, renewable energy consumption and CO_2 emission: Evidence from China

机译:调查教育支出,女性雇主,可再生能源消费和CO_2排放之间的Nexus:来自中国的证据

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摘要

The present study empirically investigates the nexus between education expenditure, female employer, consumption of renewable energy, and CO2 emission in China. A total of 25 years of data spanning from 1991 to 2015 is used in the study. The World Bank data has been used as the source of data. Several econometric techniques, such as ADF, P.P, Bound test, ARDL, and fully FMOLS, have been applied to draw empirical inferences. The bound test reveals a long-run relationship between the considered variables. The estimations of the ARDL model show that education expenditure, female employers, and renewable energy consumption have a negative connection with CO2 emission. The study's findings indicate that increasing education expenditure, an increasing number of female employers, and increasing renewable energy consumption as a percentage of total energy use will help reduce CO2 emission in both the long term and short term in China. The fully modified ordinary least square (FMOLS) has been applied to test the robust impact of independent variables towards the dependent variable used in the study. And lastly, this study provides important policy recommendations that help in reducing CO2 emissions in the environment.
机译:本研究证明了教育支出,女性雇主,可再生能源消费和中国的二氧化碳排放之间的Nexus。在1991年至2015年,共有25年的数据在研究中使用。世界银行数据已被用作数据来源。已经应用了几种经济学技术,例如ADF,P.P,结合测试,ARDL和完全FMOL,以绘制经验推论。绑定测试显示了所考虑的变量之间的长期关系。 ARDL模型的估计表明,教育支出,女性雇主和可再生能源消耗与二氧化碳排放有负面关系。该研究的调查结果表明,增加教育支出,越来越多的女性雇主,以及随着总能源使用百分比的百分比增加可再生能源消耗将有助于减少中国长期和短期内的二氧化碳排放。已应用完全修改的普通最小二乘(FMOL)以测试独立变量对研究中使用的依赖变量的强大影响。最后,本研究提供了重要的政策建议,有助于减少环境中的二氧化碳排放。

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