摘要
在数字经济背景下,为实现工业绿色转型的多驱动要素联动调控,厘清各系统要素的因果反馈回路,文章构建系统动力学模型,模拟不同情景下工业绿色转型驱动要素的动态效应和实现路径。研究发现:物质资本与技术资本对工业绿色转型存在最佳协同驱动效应,且具有内在耦合关系;数字经济、能源结构、环境政策、技术创新、节能减排等要素均能显著推动工业绿色转型,但人口要素的缓慢增长对工业绿色转型具有抑制效应;与单要素驱动相比,多要素协同对工业绿色转型的拉升作用最为明显,多要素协同的累积效应能够促使各独立要素形成耦合共同体,产生“1+1>2”的协同效应。
In the context of digital economy,to realize the linkage regulation of multiple driving elements of industrial green transformation and clarify the causal feedback loop of each system element,the article constructs a system dynam-ics model and simulates the dynamic effect and realization paths of driving elements of industrial green transformation un-der different scenarios.The study finds that material capital and technology capital have the best synergy-driven effect on industrial green transformation and have an intrinsic coupling relationship.Digital economy,energy structure,environ-mental policy,technological innovation,energy saving and emission reduction,and other factors can significantly promote industrial green transformation,but the slow growth of the population factor has an inhibitory effect on the industrial green transformation.Compared with single-factor drive,multi-factor synergy has the most obvious impact on industrial green transformation.The cumulative effect of multi-factor synergy can prompt each independent factor to form a coupled com-munity,producing the synergistic effect of"1+1>2".
作者
曹长帅
苏迎娟
CAO Changshuai;SU Yingjuan(School ofEconomics,Nanjing University,Nanjing 210093,China;School ofBusiness,Jiangsu NormalUniversity,Xuzhou 221116,China)
出处
《华东经济管理》
北大核心
2024年第2期1-12,共12页
East China Economic Management
基金
国家自然科学基金项目“数字经济参与对农户低碳生产行为及绩效的影响机制研究”(72203080)
中国博士后科学基金第72批面上资助项目“中国农业减污降碳:协同效应、空间溢出与政策供给”(2022M309634)。
关键词
数字经济
工业绿色转型
系统动力学
协同驱动效应
digital economy
industrial green transformation
system dynamics
synergy-driven effect
