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SPATIAL EFFECTS OF TECHNOLOGY INNOVATION ON ENERGY-RELATED CARBON EMISSIONS: A SPATIAL PANEL APPROACH

机译:技术创新对与能源相关的碳排放的空间效应:一种空间面板方法

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China has committed to reducing carbon emissions in the face of serious atmospheric pollution. Based on the spatial approach using panel data, this study examines the spatial pattern and spatial effects of technique innovation performance on energy-related carbon emissions from the perspective of both time and space. An exploratory spatial technique is employed for analysing the spatial pattern of China's provincial carbon emissions and technology innovation. Furthermore, based on a classic spatial panel lag model, a spatial panel error model and a spatial panel Durbin-IPAT model, this study provides a spatial analysis of the relation between technology innovation and carbon emissions, including direct effects, indirect effects and total effects. Exploratory spatial results show that there are spatial spillover and clustering effects of carbon emissions and technology progress. The spatial panel data model estimation results show that technology innovation factors have significant negative effects on carbon emissions in spatial fixed effects, time-period fixed effects and spatial time-period effects. The empirical results identify the inhibition effects of technology innovation on carbon emissions in provincial areas and further provide a new path to break regional disparity in the context of sustainable development and emission reduction.
机译:面对严重的大气污染,中国致力于减少碳排放。基于使用面板数据的空间方法,本研究从时间和空间角度研究了技术创新绩效对能源相关碳排放的空间格局和空间影响。一种探索性的空间技术被用来分析中国省级碳排放和技术创新的空间格局。此外,本研究基于经典的空间面板滞后模型,空间面板误差模型和空间面板Durbin-IPAT模型,对技术创新与碳排放之间的关系进行了空间分析,包括直接效应,间接效应和总效应。 。探索性的空间结果表明,碳排放和技术进步存在空间溢出效应和集群效应。空间面板数据模型估计结果表明,技术创新因素在空间固定效应,时间固定效应和空间时间效应中对碳排放具有显着的负面影响。实证结果确定了技术创新对省级地区碳排放的抑制作用,并为在可持续发展和减排的背景下打破区域差异提供了新途径。

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