Department of Economics, Faculty of Business & Economics, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa, Pakistan.
School of Economics, Finance & Banking, College of Business, Universiti Utara Malaysia, Sintok, Kedah, Malaysia.
Environ Sci Pollut Res Int. 2022 Dec;29(58):87746-87763. doi: 10.1007/s11356-022-21835-1. Epub 2022 Jul 11.
This study examines the impact of energy consumption, urbanization, and globalization on environmental degradation proxied by carbon emissions (CO) in the South Asian Association for Regional Cooperation (SAARC) countries, namely Sri Lanka, Pakistan, Maldives, Nepal, Bhutan, Bangladesh, and India using data over the period 1990-2018. The cross-sectional autoregressive distributed lag (CS-ARDL), pooled mean group (PMG), and Dumitrescu and Hurlin (D-H) Granger causality techniques are employed for the empirical analysis. First and second-generation panel unit root tests are used to determine the stationary level of all data series which reveals mixed order of integration. The empirical findings show that urbanization, gross domestic product (GDP) per capita income, energy consumption, industrial growth, globalization, and financial development cause CO emissions, while the other variables, namely arable land and innovation, put negative effects on CO emissions. Moreover, the D-H heterogeneous test results exhibit that bi-directional relationship exists between CO and arable land, urbanization, industrial growth, and financial development, while a unidirectional causality exists between CO emissions and GDP per head income. These findings suggest that planned urbanization, investment in renewable energy sources, and effective strategies regarding the economic and financial integration with the global economies are required for a clean and green environment.
本研究考察了能源消耗、城市化和全球化对南亚区域合作联盟(SAARC)国家环境退化的影响,这些国家包括斯里兰卡、巴基斯坦、马尔代夫、尼泊尔、不丹、孟加拉国和印度,使用的是 1990 年至 2018 年期间的数据。实证分析采用了横截面自回归分布滞后(CS-ARDL)、均值组(PMG)和 Dumitrescu 和 Hurlin(D-H)格兰杰因果检验技术。首先和第二代面板单位根检验用于确定所有数据序列的平稳水平,结果显示混合了整数阶。实证结果表明,城市化、人均国内生产总值(GDP)、能源消耗、工业增长、全球化和金融发展导致了 CO 排放,而其他变量,如耕地和创新,则对 CO 排放产生了负面影响。此外,D-H 异质检验结果表明,CO 和耕地、城市化、工业增长以及金融发展之间存在双向关系,而 CO 排放与人均 GDP 之间存在单向因果关系。这些发现表明,需要有计划地推进城市化、投资可再生能源,并制定有效的经济和金融与全球经济一体化战略,以实现清洁和绿色的环境。