Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Faculty of Business Administration, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Environ Sci Pollut Res Int. 2018 Dec;25(35):35637-35645. doi: 10.1007/s11356-018-3524-7. Epub 2018 Oct 23.
Pakistan is the most polluted country according to the concentration of air pollution criterion and it has experienced a significant rise in economic growth during the recent years. This paper analyzes the nexus of CO emissions and economic growth using quarterly data over the period of 1960Q1-2014Q4. To provide conclusive policy recommendations, this study applied different econometric methodologies such as the quantile causality approach, the linear ARDL (autoregressive distribution lag) model and the quantile ARDL (QARDL) model. The results indicate evidence of causality running from economic growth to CO emissions at medium quantiles at the 5% level and at low and medium quantiles at the 10% significance level. Findings of linear and nonlinear ARDL models also support the transmission of growth to CO emissions in the long and short run. The Wald test for symmetry sustains the nonlinear ARDL model. Useful policy implications can be learned from the empirical findings.
巴基斯坦是空气污染浓度标准下最污染的国家,近年来经历了显著的经济增长。本文使用 1960 年第一季度至 2014 年第四季度的季度数据,分析了 CO 排放与经济增长之间的关系。为了提供有结论性的政策建议,本研究采用了不同的计量经济学方法,如分位数因果关系方法、线性 ARDL(自回归分布滞后)模型和分位数 ARDL(QARDL)模型。结果表明,在 5%的显著性水平下,中量值存在从经济增长到 CO 排放的因果关系,在低量值和中量值存在从经济增长到 CO 排放的因果关系在 10%的水平上。线性和非线性 ARDL 模型的结果也支持在长期和短期内向 CO 排放传递增长。对称的 Wald 检验支持非线性 ARDL 模型。从实证结果中可以得出有用的政策启示。