Environmental policy stringency,renewable energy consumption and CO2 emissions: Panel cointegration analysis for BRIICTS countries

ABSTRACT

The aim of this paper is to investigate the relationship between environmental policy stringency and CO₂ emissions in BRIICTS (Brazil, Russia, India, Indonesia, China, Turkey and South Africa) for the period 1993–2014 after controlling for renewable energy, fossil energy, oil prices and income. We believe that this is the first attempt to use the recently OECD-developed environmental policy stringency index to test the effectiveness of environmental stringency policy in reducing CO₂ emission in these countries. Applying the Panel Pooled Mean Group Autoregressive Distributive Lag (PMG-ARDL) estimator, we found an inverted U–shaped relationship between environmental policy stringency and CO₂ emissions. This suggests that initially strict stringent environmental policy does not lead to improvements in the environment but after a certain level or a threshold point, environmental stringency policy leads to improvement in environmental quality. Renewable energy consumption was negatively related to CO₂ emissions while fossil energy consumption and real oil prices and income were positively and significantly related to CO₂. Our findings suggest that strengthening the stringency of environmental policies and promoting renewable energy are effective ways of preventing environmental degradation in BRIICTS countries.     

组合赋权法确定清河流域总量减排绩效评估指标权重

运用组合赋权法确定评价指标权重,是保证流域总量减排绩效评估结果合理、可靠的关键。通过对基于主观判断的层次分析法和依赖客观数据的均方差法的综合分析,构建了组合赋权模型。并将其应用于辽宁省清河流域的总量减排绩效评估指标权重的确定。结果表明,资金投入、水质和点源污染等几项指标权重较大,即对清河流域总量减排绩效管理影响严重。而组合赋权法能够综合考虑主观和客观因素对赋权结果的影响,避免了单一方法确定权重存在的局限性,为流域总量减排绩效评估提供了一种新的思路。     

道路交通噪声最佳测量时间和时段研究

对典型城市主干道进行长期噪声监测,对监测结果进行误差分析,得出城市主干道交通噪声短时间测量最佳时间及时段,提高工作效率的同时提高数据准确度。