School of Economic Management, Beijing University of Technology, Beijing, 100124, People's Republic of China.
Beijing Academy of Science and Technology, Beijing, 100089, China.
Environ Sci Pollut Res Int. 2023 Apr;30(19):55846-55863. doi: 10.1007/s11356-023-26087-1. Epub 2023 Mar 11.
Consistently rising carbon emissions in the global economy make it more challenging to meet the goals of the Paris climate agreement. Knowing what factors play a role is essential to help shape strategies to reduce carbon emissions. While there is a wealth of material on how GDP expansion correlates with increases in carbon emissions, little is known about how democracy and renewable energy could improve environmental conditions in developing nations. The purpose of this article was to use fair data to assess the effect of renewable energy and green technology advances on carbon neutrality in 23 provinces across China from 2005 to 2020. The research used the dynamic ordinary least square, the fully modified ordinary least square, and the two-step GMM to determine that digitalization, industrial development, and health expenditures result in lower carbon emissions. Urbanization, tourism, and per capita income in certain Chinese provinces also drove carbon emissions. The study also showed that the impact of these factors on carbon emissions varies depending on the amount of economic growth. Environmental pollution is reduced due to the digitalization of tourist and healthcare costs, industrial development, and urbanization. According to the study's findings, we advise these nations to seek economic growth and invest in health care and renewable energy initiatives.
全球经济中不断上升的碳排放使得实现《巴黎气候协定》的目标变得更加具有挑战性。了解哪些因素发挥作用对于帮助制定减少碳排放的战略至关重要。虽然有大量关于 GDP 增长与碳排放增加之间关系的材料，但对于民主和可再生能源如何改善发展中国家的环境条件却知之甚少。本文的目的是使用公平的数据来评估可再生能源和绿色技术进步对 2005 年至 2020 年中国 23 个省份实现碳中和的影响。研究采用动态普通最小二乘法、完全修正普通最小二乘法和两步 GMM 来确定数字化、工业发展和医疗支出会导致较低的碳排放。中国某些省份的城市化、旅游业和人均收入也推动了碳排放。研究还表明，这些因素对碳排放的影响因经济增长的幅度而异。由于旅游和医疗费用、工业发展和城市化的数字化，环境污染得到了减轻。根据研究结果，我们建议这些国家寻求经济增长，并投资于医疗保健和可再生能源倡议。
