溢出效应
发射强度
能量强度
面板数据
碳纤维
温室气体
技术创新
产业组织
强度(物理)
预测误差的方差分解
业务
环境经济学
自然资源经济学
工程类
经济
计算机科学
高效能源利用
计量经济学
微观经济学
物理
电气工程
复合数
算法
生态学
生物
激发
量子力学
作者
Lei Wang,Yangyang Chen,Thomas Stephen Ramsey,Geoffrey J. D. Hewings
标识
DOI:10.1016/j.techsoc.2021.101638
摘要
The information industry has become a “new engine” driving the growth of the world economy. However, there are many controversies about whether digital technology can reduce the intensity of carbon emissions. Based on OECD data, KPWW method and multiple panel regression, this paper explores the impact and mechanism of digital technology innovation and technology spillover to the domestic carbon emission intensity. Through impulse response analysis and variance decomposition, the comprehensive impact of digital technology on carbon intensity is clarified. This paper concludes that technology innovation in the information industry will increase the intensity of carbon emissions, while cross-industry technology spillovers are persistent for reducing the intensity of domestic carbon emissions. Since the emission reduction effect of technology spillover is greater than the emission increase effect of technology innovation, the digital technology would empower domestic green development. Increasing the proportion of non-fossil energy use and optimizing the industrial structure are effective mechanisms for digital technology innovation to reduce carbon emission intensity.
科研通智能强力驱动
Strongly Powered by AbleSci AI