PDF(Pubmed)
Abstract：
The study draws attention to the associations between monetary and economic elements and their potential environmental impacts. The study uses time series data from 1960 to 2022 to examine the connection between CO2 emissions, industrial growth, GNE, and inflation in China. The researchers utilized the well-known econometric technique of nonlinear autoregressive distributed lag (NARDL) to examine nonlinear correlations between these variables. The results reveal that GDP, inflation, and economic development influence long-term CO2 emissions. The strong positive correlation between gross national expenditures and economic activity increases CO2 emissions. In the short run, CO2 emissions are positively and statistically significantly affected by inflation. While inflation temporarily affects CO2 emissions, this effect dissipates with time. Industrial activity increases CO2 emissions, and China\'s fast industrialization has damaged the environment. The energy-intensive fertiliser manufacturing process and fossil fuels increase CO2 emissions. The research shows how government officials and academics may collaborate to create tailored measures to alleviate the environmental impacts of economic activity.
摘要：
该研究提请注意货币和经济要素之间的关联及其潜在的环境影响。该研究使用1960年至2022年的时间序列数据来检验二氧化碳排放之间的联系，工业增长,GNE,以及中国的通货膨胀。研究人员利用众所周知的非线性自回归分布滞后（NARDL）计量经济学技术来检查这些变量之间的非线性相关性。结果表明，GDP，通货膨胀,和经济发展影响长期二氧化碳排放。国民总支出与经济活动之间的强正相关增加了二氧化碳排放量。在短期内，CO2排放受到通货膨胀的积极和统计上的显著影响。虽然通货膨胀暂时影响二氧化碳排放，这种影响随着时间的推移而消失。工业活动增加了二氧化碳排放量，中国的快速工业化破坏了环境。能源密集型化肥制造过程和化石燃料增加了二氧化碳排放量。该研究表明，政府官员和学者可以合作制定量身定制的措施，以减轻经济活动对环境的影响。
