数字技术对江苏低碳经济的影响研究

A Study on the Impact of Digital Technology on Low Carbon Economy in Jiangsu Province

在碳达峰、碳中和的重大战略决策背景下,江苏作为能源消耗和碳排放大省,是全国碳减排的重点区域和潜力地区。以江苏省城市层面的面板数据为例,构建实证模型可以测度数字技术对低碳经济的影响及作用路径。研究表明,首先,数字技术对城市人均碳排强度具有显著的负向影响,但对人均碳排量具有显著的促增效应。数字技术对清洁能源供求产生的碳排效应具有显著的促进作用,但对总电力消费、工业用电消费产生的碳排效应没有显著影响。其次,数字技术对江苏省人均碳排强度和人均碳排量的影响具有高低碳排特征和地理区域的异质性效应。在作用机制方面,数字技术能通过调整产业结构影响人均碳排强度水平,通过改变清洁能源消费的碳排作用于人均碳排量。政府应当因地施策,强化试点低碳生态园区带动效应,构建清洁能源供求智能化服务体系。

In the context of the significant strategic decisions surrounding carbon peaking and carbon neutrality,Jiangsu,as a major province in terms of energy consumption and carbon emissions,stands out as a key region with significant potential for carbon reduction in China.Taking the panel data at the city level in Jiangsu Province as an example,this study constructs an empirical model to measure the impact and pathways of digital technology on the low-carbon economy.First,digital economy has a significant negative effect on the urban per capita carbon emission intensity,while has a significant increasing effect on per capita carbon emissions.Digital technology plays a significant role in promoting carbon reduction effect related to the supply and demand of clean energy,but has no significant impact on carbon emissions from total electricity consumption and industrial electricity consumption.Second,the impact of digital technology on the per capita carbon intensity and per capita carbon emissions varies with initial carbon emission in Jiangsu Province exhibits heterogeneity in terms of both high and low carbon emissions and geographical regions.In terms of the mechanism of action,digital technology can influence the level of per capita carbon intensity by adjusting the industrial structure and affect per capita carbon emissions by changing the carbon emissions from clean energy consumption.To sum up,the government should apply policies according to local conditions,strengthen the driving effect of pilot low-carbon ecological parks,and build an intelligent service system for the supply and demand of clean energy.