“双碳”目标视域下,探究企业ESG(Environmental、Social and Governance)行为对碳排放的作用机理具有重要意义。考虑ESG行为存在表面上顺应迎合而实质上“言行不一”,构建了划分ESG行为类别的动态随机一般均衡(DSGE)模型,研究实质性ES...“双碳”目标视域下,探究企业ESG(Environmental、Social and Governance)行为对碳排放的作用机理具有重要意义。考虑ESG行为存在表面上顺应迎合而实质上“言行不一”,构建了划分ESG行为类别的动态随机一般均衡(DSGE)模型,研究实质性ESG行为与策略性ESG行为对碳排放等宏观经济因素的动态传导机制。研究发现:相比难以实现碳减排的策略性ESG行为,企业采取实质性ESG行为能够显著降低碳排放量且对宏观经济有正向影响,推动经济向低碳绿色转型,实现减排与经济发展的“共赢”。企业实质性ESG行为对碳减排与经济增长的影响机制为:(1)内部资本投入机制:企业采取实质性ESG行为对碳减排技术研发投入形成溢出效应,且实质性ESG行为激励企业将生产要素投入由高碳产品转移到低碳产品,以实现“增低碳降高碳”,达到碳减排与经济增长的协调统一;(2)外部政策激励机制:企业采取实质性ESG行为可获得更多的政府碳减排补贴,促使企业增加低碳产出投入,实现外部政策激励与内部低碳转型的协同效应;(3)金融机构信贷优惠机制:企业采取实质性ESG行为能够激发金融机构对其实行差异化信贷优惠利率,增加企业碳减排技术的研发投入,推动绿色金融与绿色技术的协同发展。研究为辨识ESG行为类别推动企业低碳转型发展提供理论依据与政策启示。展开更多
The study on the static and dynamic load balancing algorithms has a history over three decades and it is stilla promising field. But because of the uncertainties between the dependencies of the parallel tasks and thei...The study on the static and dynamic load balancing algorithms has a history over three decades and it is stilla promising field. But because of the uncertainties between the dependencies of the parallel tasks and their communi-cation during the compile-time, researchers are more inclined to study the dynamic load balancing algorithms(DLB).There are almost four kinds of DLB algorithms including the centralized DLB, distributed DLB, global DLB and LocalDLB, all of them have their pros and cons. This paper addresses a new dynamic load balancing model based on theMain Load Information Table (MLIT) and its dynamic load balancing algorithm, it not only has the advantages thefour models above mentioned have, but it overcomes some of their disadvantages which lead to a poor performance,thus it boasts a better stability and security and in the end it can improve the performance of the system.展开更多
文摘“双碳”目标视域下,探究企业ESG(Environmental、Social and Governance)行为对碳排放的作用机理具有重要意义。考虑ESG行为存在表面上顺应迎合而实质上“言行不一”,构建了划分ESG行为类别的动态随机一般均衡(DSGE)模型,研究实质性ESG行为与策略性ESG行为对碳排放等宏观经济因素的动态传导机制。研究发现:相比难以实现碳减排的策略性ESG行为,企业采取实质性ESG行为能够显著降低碳排放量且对宏观经济有正向影响,推动经济向低碳绿色转型,实现减排与经济发展的“共赢”。企业实质性ESG行为对碳减排与经济增长的影响机制为:(1)内部资本投入机制:企业采取实质性ESG行为对碳减排技术研发投入形成溢出效应,且实质性ESG行为激励企业将生产要素投入由高碳产品转移到低碳产品,以实现“增低碳降高碳”,达到碳减排与经济增长的协调统一;(2)外部政策激励机制:企业采取实质性ESG行为可获得更多的政府碳减排补贴,促使企业增加低碳产出投入,实现外部政策激励与内部低碳转型的协同效应;(3)金融机构信贷优惠机制:企业采取实质性ESG行为能够激发金融机构对其实行差异化信贷优惠利率,增加企业碳减排技术的研发投入,推动绿色金融与绿色技术的协同发展。研究为辨识ESG行为类别推动企业低碳转型发展提供理论依据与政策启示。
文摘The study on the static and dynamic load balancing algorithms has a history over three decades and it is stilla promising field. But because of the uncertainties between the dependencies of the parallel tasks and their communi-cation during the compile-time, researchers are more inclined to study the dynamic load balancing algorithms(DLB).There are almost four kinds of DLB algorithms including the centralized DLB, distributed DLB, global DLB and LocalDLB, all of them have their pros and cons. This paper addresses a new dynamic load balancing model based on theMain Load Information Table (MLIT) and its dynamic load balancing algorithm, it not only has the advantages thefour models above mentioned have, but it overcomes some of their disadvantages which lead to a poor performance,thus it boasts a better stability and security and in the end it can improve the performance of the system.
