Growth-environment nexus in Canada: Revisiting EKC via demand and supply dynamics

Md. Idris Ali, Md. Monirul Islam, Brian Ceh
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Abstract

Previous research on the growth-environment nexus has predominantly focused on demand-side indicators, disregarding the supply-side dynamic and the environmental Kuznets curve (EKC) hypothesis. This study examines the role of economic growth on environmental quality in Canada, considering various macroeconomic factors such as energy consumption, technology innovation, foreign direct investment, and institutional quality. Using time series data for the period 1990 to 2022, this study employs the dynamic autoregressive distributive lag (DARDL) co-integration model to assess the co-integrating relationship among variables and conduct counterfactual shock analysis. The results demonstrate that economic growth significantly affects demand-side dynamics, leading to increased carbon emissions and ecological footprint, while concurrently reducing the supply-side factor, namely the load capacity factor, in both the short and long run. Notably, these findings include the confirmation of the EKC hypothesis as it relates to environmental safety, measured through energy consumption within the Canadian context. In addition, counterfactual analysis of the DARDL approach examines the effects of (±) 1% and (±) 5% shocks from the independent to dependent variables. For robustness, the kernel regularized least squares machine learning algorithm validates the results obtained from the DARDL estimation technique. The study's findings suggest implementing stringent environmental policies to enhance supply-side environmental parameters while carefully balancing energy consumption to support growth. It is crucial to ensure that economic growth is not achieved at the expense of environmental degradation in Canada.
加拿大的增长与环境关系:通过供需动态重新审视 EKC
以往关于增长与环境关系的研究主要集中在需求方指标上,忽略了供给方动态和环境库兹涅茨曲线(EKC)假说。本研究在考虑能源消耗、技术创新、外国直接投资和制度质量等各种宏观经济因素的基础上,探讨了经济增长对加拿大环境质量的影响。本研究利用 1990 年至 2022 年的时间序列数据,采用动态自回归分布滞后(DARDL)协整模型评估变量之间的协整关系,并进行反事实冲击分析。结果表明,无论从短期还是长期来看,经济增长都会显著影响需求方的动态变化,导致碳排放量和生态足迹的增加,同时也会降低供应方的因素,即负载能力因素。值得注意的是,这些发现包括对 EKC 假设的确认,因为它与环境安全有关,通过加拿大的能源消耗来衡量。此外,DARDL 方法的反事实分析检验了自变量对因变量的(±)1% 和(±)5% 冲击的影响。为了保证稳健性,核正则化最小二乘机器学习算法验证了 DARDL 估算技术得出的结果。研究结果表明,在谨慎平衡能源消耗以支持经济增长的同时,应实施严格的环境政策以提高供应方的环境参数。在加拿大,确保经济增长不以环境恶化为代价至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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