Suppr超能文献

通过碳定价、可再生能源需求和清洁技术评估中国的污染损害函数:蓝色经济与绿色经济。

Evaluating pollution damage function through carbon pricing, renewable energy demand, and cleaner technologies in China: blue versus green economy.

机构信息

Department of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan.

Laboratory of International and Regional Economics, Graduate School of Economics and Management, Ural Federal University, Ural, Russia.

出版信息

Environ Sci Pollut Res Int. 2022 Apr;29(17):24878-24893. doi: 10.1007/s11356-021-17623-y. Epub 2021 Nov 26.

Abstract

Climate change and increased greenhouse gas emissions boost the global average temperature to less than 2°C, which is the estimated breakeven point. The globe is moving into blue pollution economies as the environmental sustainability objective becomes more distorted. The study looked at three United Nations Sustainable Development Goals, namely (i) affordable and clean energy; (ii) industry, innovation, and infrastructure; and (iii) climate change, to see how far the Chinese economy has progressed toward green and clean development strategy. In the context of China, the "pollution damage function" was intended to refer to carbon damages related to carbon pricing, technological variables, sustained economic growth, incoming foreign investment, and green energy. The data was collected between 1975 and 2019 and analyzed using various statistical approaches. The results of the autoregressive distributed lag model suggest that carbon taxes on industrial emissions reduce carbon damages in the short and long run. Furthermore, a rise in inbound foreign investment and renewable energy demand reduces carbon damages in the short term, proving the "pollution halo" and "green energy" hypotheses; nonetheless, the results are insufficient to explain the stated results in the long run. In the long run, technology transfers and continued economic growth are beneficial in reducing carbon damages and confirming the potential of cleaner solutions in pollution mitigation. The causal inferences show the one-way relationship running from carbon pricing and technology transfer to carbon damages, and green energy to high-technology exports in a country. The impulse response estimates suggested that carbon tax, inbound foreign investment, and technology transfers likely decrease carbon damages for the next 10 years. On the other hand, continued economic growth and inadequate green energy sources are likely to increase carbon pollution in a country. The variance decomposition analysis suggested that carbon pricing and information and communication technology exports would likely significantly influence carbon damages over time. To keep the earth's temperature within the set threshold, the true motivation to shift from a blue to a green economy required strict environmental legislation, the use of green energy sources, and the export of cleaner technologies. Source: Authors' self-extract.

摘要

气候变化和温室气体排放增加将全球平均气温推高至接近 2°C,这是预估的平衡点。随着环境可持续性目标变得更加扭曲,全球正步入蓝色污染经济。本研究着眼于联合国可持续发展目标中的三个目标,即(i) 负担得起的清洁能源;(ii) 产业、创新和基础设施;以及(iii) 气候变化,以了解中国经济在向绿色和清洁发展战略转型方面取得了多大进展。在中国的背景下,“污染损害函数”旨在指代与碳定价、技术变量、持续经济增长、外来投资和绿色能源相关的碳损害。数据收集于 1975 年至 2019 年期间,采用各种统计方法进行分析。自回归分布滞后模型的结果表明,工业排放碳税在短期内和长期内都能降低碳损害。此外,外来投资和可再生能源需求的增加在短期内降低了碳损害,证明了“污染光环”和“绿色能源”假说;然而,这些结果不足以在长期内解释所述结果。从长期来看,技术转让和持续的经济增长有利于减少碳损害,并证实了清洁解决方案在污染缓解方面的潜力。因果推断表明,碳定价和技术转让对碳损害以及绿色能源对一国高科技出口的关系是单向的。脉冲响应估计表明,碳税、外来投资和技术转让可能在未来 10 年内降低碳损害。另一方面,持续的经济增长和绿色能源供应不足可能会增加一国的碳污染。方差分解分析表明,碳定价和信息通信技术出口在一段时间内可能会对碳损害产生重大影响。为了将地球温度保持在设定的阈值内,需要严格的环境立法、绿色能源的使用和清洁技术的出口,以实现从蓝色经济向绿色经济的真正转变。来源:作者自行提取。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验