基于中国 114 家商业银行的绿色信贷效率与战略、业务和管理数字化转型之间的关系

IF 7.9 2区 经济学 Q1 ECONOMICS
Fu Chen , Fangfang Li , Jie Xu , Yongtai Sun , Fangyuan Li
{"title":"基于中国 114 家商业银行的绿色信贷效率与战略、业务和管理数字化转型之间的关系","authors":"Fu Chen ,&nbsp;Fangfang Li ,&nbsp;Jie Xu ,&nbsp;Yongtai Sun ,&nbsp;Fangyuan Li","doi":"10.1016/j.eap.2024.10.019","DOIUrl":null,"url":null,"abstract":"<div><div>With the expansion of green finance and the digital economy, the discussion on the evolution of green credit business and the digitalization of commercial banks have grown in prominence. However, limited research has been done on how different degrees of digital transformation in commercial banks—the main issuers—affect the way of green credit efficiency. To fill this gap, based on data from 114 Chinese commercial banks between 2010 and 2021, this paper explores the impact of digitalization on the green credit efficiency through the integration of several methodologies. The paper indicates that enhancing the digitalization, business digitization, and management digitization of commercial banks can greatly enhance the effectiveness of green credit businesses, but the impact of strategic digitization is not significant. Further analysis reveals that digitization facilitates the expansion of overall bank assets, thereby bolstering the green credit business. It also investigates the characteristics of commercial banks and the geographical distribution of their headquarters, indicating a diminished promotional impact for urban and rural banks, as well as banks in the central areas. Finally, this study contends that commercial banks ought to leverage digital resources extensively to facilitate digital transformation and bolster the advancement of green credit operations. It is also recommended that the government should implement preferential policies for regions and banks exhibiting slower developmental progress.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"84 ","pages":"Pages 1242-1257"},"PeriodicalIF":7.9000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nexus between green credit efficiency and strategic, business and management digital transformation–based on 114 commercial banks in China\",\"authors\":\"Fu Chen ,&nbsp;Fangfang Li ,&nbsp;Jie Xu ,&nbsp;Yongtai Sun ,&nbsp;Fangyuan Li\",\"doi\":\"10.1016/j.eap.2024.10.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the expansion of green finance and the digital economy, the discussion on the evolution of green credit business and the digitalization of commercial banks have grown in prominence. However, limited research has been done on how different degrees of digital transformation in commercial banks—the main issuers—affect the way of green credit efficiency. To fill this gap, based on data from 114 Chinese commercial banks between 2010 and 2021, this paper explores the impact of digitalization on the green credit efficiency through the integration of several methodologies. The paper indicates that enhancing the digitalization, business digitization, and management digitization of commercial banks can greatly enhance the effectiveness of green credit businesses, but the impact of strategic digitization is not significant. Further analysis reveals that digitization facilitates the expansion of overall bank assets, thereby bolstering the green credit business. It also investigates the characteristics of commercial banks and the geographical distribution of their headquarters, indicating a diminished promotional impact for urban and rural banks, as well as banks in the central areas. Finally, this study contends that commercial banks ought to leverage digital resources extensively to facilitate digital transformation and bolster the advancement of green credit operations. It is also recommended that the government should implement preferential policies for regions and banks exhibiting slower developmental progress.</div></div>\",\"PeriodicalId\":54200,\"journal\":{\"name\":\"Economic Analysis and Policy\",\"volume\":\"84 \",\"pages\":\"Pages 1242-1257\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2024-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Analysis and Policy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0313592624002753\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Analysis and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0313592624002753","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

随着绿色金融和数字经济的发展,关于绿色信贷业务的演变和商业银行数字化的讨论也越来越多。然而,对于商业银行--发放绿色信贷的主体--不同程度的数字化转型如何影响绿色信贷效率方式的研究却十分有限。为填补这一空白,本文基于 2010 年至 2021 年间 114 家中国商业银行的数据,综合运用多种方法探讨了数字化对绿色信贷效率的影响。本文指出,加强商业银行的数字化、业务数字化和管理数字化可以大大提高绿色信贷业务的效率,但战略数字化的影响并不显著。进一步的分析表明,数字化有利于银行整体资产的扩张,从而促进绿色信贷业务的发展。本研究还对商业银行的特点及其总部的地理分布进行了调查,结果表明城市银行、农村银行以及中心地区银行的促进作用减弱。最后,本研究认为,商业银行应广泛利用数字资源,促进数字化转型,推动绿色信贷业务的发展。本研究还建议政府对发展较慢的地区和银行实施优惠政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nexus between green credit efficiency and strategic, business and management digital transformation–based on 114 commercial banks in China
With the expansion of green finance and the digital economy, the discussion on the evolution of green credit business and the digitalization of commercial banks have grown in prominence. However, limited research has been done on how different degrees of digital transformation in commercial banks—the main issuers—affect the way of green credit efficiency. To fill this gap, based on data from 114 Chinese commercial banks between 2010 and 2021, this paper explores the impact of digitalization on the green credit efficiency through the integration of several methodologies. The paper indicates that enhancing the digitalization, business digitization, and management digitization of commercial banks can greatly enhance the effectiveness of green credit businesses, but the impact of strategic digitization is not significant. Further analysis reveals that digitization facilitates the expansion of overall bank assets, thereby bolstering the green credit business. It also investigates the characteristics of commercial banks and the geographical distribution of their headquarters, indicating a diminished promotional impact for urban and rural banks, as well as banks in the central areas. Finally, this study contends that commercial banks ought to leverage digital resources extensively to facilitate digital transformation and bolster the advancement of green credit operations. It is also recommended that the government should implement preferential policies for regions and banks exhibiting slower developmental progress.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.80
自引率
9.20%
发文量
231
审稿时长
93 days
期刊介绍: Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信