Displays the variables’ detail.

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.

本研究旨在探讨货币与经济要素及其潜在环境影响之间的关联。本研究采用1960年至2022年的时间序列数据，考察中国二氧化碳排放（CO₂ emissions）、工业增长、国民总支出（Gross National Expenditures, GNE）与通货膨胀之间的关联。研究人员采用经典的非线性自回归分布滞后（NARDL）计量经济学方法，检验上述变量间的非线性相关关系。研究结果显示，国内生产总值（GDP）、通货膨胀与经济发展对长期二氧化碳排放存在影响。国民总支出与经济活动间的强正向关联会推高二氧化碳排放量。短期内，通货膨胀对二氧化碳排放具有正向且统计显著的影响。尽管通货膨胀会对二氧化碳排放产生短期影响，但该效应会随时间推移逐渐消退。工业活动会增加二氧化碳排放量，而中国快速的工业化进程对生态环境造成了损害。能源密集型化肥生产工艺与化石燃料的使用均会加剧二氧化碳排放。本研究揭示了政府官员与科研人员可如何协同合作，制定针对性措施以缓解经济活动带来的环境影响。