检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:李伟 成锦涛 LI Wei;CHENG Jintao(School of Economics,Xi’an University of Finance and Economics,Xi’an 710100,China)
出 处:《开发研究》2024年第3期140-150,共11页Research On Development
摘 要:选取2011—2021年黄河流域9省(区)的99个地级市为研究样本,运用双向固定效应的空间杜宾模型考察绿色信贷支持碳减排的空间溢出效应,并结合动态面板数据模型对各绿色金融工具之间的“挤入效应”和“挤出效应”进行分析。研究发现,黄河流域各省(区)之间碳排放存在着显著的空间相关性,其绿色信贷发展具有显著的“本地—邻地”碳减排效应,同时各绿色金融工具之间存在“挤入效应”。基于此提出相应建议,切实推动黄河流域整体绿色信贷发展水平稳步提高,建立区域绿色信贷促进碳减排的协同机制,从而引导各绿色金融工具合力发挥碳减排效应。This paper selects 99 prefecture-level cities in nine provincial-level regions in the Yellow River Basin from 2011 to 2021 as research samples,uses the spatial Durbin model with two-way fixed effects to investigate the spatial spillover effect of carbon emission reduction supported by green credit,and analyzes“crowding-in effect”and“crowding-out effects”between various green financial instruments by combining the dynamic panel data model.The studies found that:there is significant spatial correlation in carbon emissions among provincial-level regions in the Yellow River Basin;green credit development in the Yellow River Basin has significant“local and neighboring”carbon emission reduction effects;there is a“crowding-in”effect among various green financial instruments.Based on these conclusions,corresponding suggestions are made:effectively promoting the steady improvement of the overall green credit development in the Yellow River Basin;establishing a coordinated mechanism for regional green credit to promote carbon emission reduction in the Yellow River Basin to guide various green financial instruments to jointly exert carbon emission reduction effects.
关 键 词:黄河流域 绿色信贷 碳减排 空间杜宾模型 动态面板数据模型
分 类 号:F832.4[经济管理—金融学] X196[环境科学与工程—环境科学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.129.92.14