摘要
本文将数字经济、能源强度和碳排放强度三者置于统一框架,构建数字经济空间关联网络权重矩阵,利用空间杜宾模型检验发现:数字经济对能源强度和碳排放强度的影响均呈现倒“N”型特征,具有显著的空间溢出效应,数字经济发展到一定阶段可以实现“节能”与“减排”双赢。数字产业化和产业数字化双重维度的检验发现,数字产业化通过数字产业在地区间的布局和对要素吸引力改变产业集聚程度影响碳排放强度;产业数字化通过数字技术嵌入各个行业,改善资源配置效率和能源利用效率,通过能源强度影响碳排放强度。本文为数字经济政策制定和实现“双碳”目标提供了启示。
This paper puts the digital economy,energy intensity,and carbon emission intensity into a unified framework,constructs a spatial correlation network weight matrix of the digital economy,and uses the Spatial Dubin Model to test.It is found that the impact of the digital economy on energy intensity and carbon emission intensity presents an inverted“N”pattern,with sig⁃nificant spatial spillover effect.The development of the digital economy can achieve a win-win situation of“energy saving”and“emission reduction”at a certain stage.The test of the dual dimensions of digital industrialization and industrial digitization reveals that,digital industrialization affects carbon emission intensity by changing the degree of industrial agglomeration through the layout of digital industries among regions and their attractiveness to factors;industry digitization is embedded into various industries through digital technology,improving resource allocation efficiency and energy utilization efficiency,and influencing carbon emis⁃sion intensity through energy intensity.This provides policy inspiration for achieving the“dual carbon”goal through the develop⁃ment of the digital economy.
作者
周梦雯
刘传明
Zhou Mengwen;Liu Chuanming(Institute of International Economy,University of International Business and Economics,Beijing 100029,China;School of Economics,Shandong University of Finance and Economics,Jinan 250002,China)
出处
《工业技术经济》
北大核心
2024年第1期13-20,共8页
Journal of Industrial Technological Economics
基金
国家社会科学基金“数字乡村建设促进农民农村共同富裕的作用机理与实现路径研究”(项目编号:22CJL004)
山东省社会科学基金“数字经济推动山东省农业农村现代化的作用机理与实现路径研究”(项目编号:22DJJJ11)
对外经济贸易大学2022年度研究生科研创新项目“数字经济的节能减排效应研究——基于我国地级及以上城市的空间计量检验”(项目编号:202230)。
关键词
数字经济
节能减排
产业集聚
倒“N”型曲线
空间关联网络
空间杜宾模型
digital economy
energy saving and emission reduction
industrial agglomeration
inverted N-shape curve
spatial correlation network
Spatial Dubin Model