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空间视角下黄河流域绿色信贷发展的碳减排效应研究

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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.
Research on Carbon Emission Reduction Effect of Green Credit Development in the Yellow River Basin from the Spatial Perspective
This paper selects 99 prefecture-level cities in nine provincial-level regions in the Yellow River Ba-sin 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 ex-ert carbon emission reduction effects.

Yellow River Basingreen creditcarbon emission reductionspatial Durbin modeldynamic panel data model

李伟、成锦涛

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西安财经大学 经济学院,西安 710100

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

2024

开发研究
甘肃省社会科学院

开发研究

CHSSCD
影响因子:0.826
ISSN:1003-4161
年,卷(期):2024.(3)
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