基于随机前沿模型的省级数字金融发展效率测度

IF 3.2 Q1 BUSINESS, FINANCE Quantitative Finance and Economics Pub Date : 2023-01-01 DOI:10.3934/qfe.2023021
Guang Liu, Hong Yi, Haonan Liang
{"title":"基于随机前沿模型的省级数字金融发展效率测度","authors":"Guang Liu, Hong Yi, Haonan Liang","doi":"10.3934/qfe.2023021","DOIUrl":null,"url":null,"abstract":"Effective development of digital finance is vital to closing the regional economic disparities. This study aims at investigating the efficiency of digital finance development in China and its implications for closing regional economic disparities. Using the stochastic frontier model, we estimate the development efficiency of digital finance in 31 provinces in China from 2011 to 2020, and reveal their characteristics of temporal evolution and spatial distribution. The results show that the efficiency of digital finance development in each province shows a tendency to increase quickly first and then slowly decline. The provinces with a higher level of digital finance development always have higher development efficiency at the beginning of the sample period, which then declines rapidly after reaching the maximum, and even less than the national average value at the end of the period, with significant regional disparities observed. The provinces with a higher level of digital finance development always have higher development efficiency at the beginning of the sample period, which then declines rapidly after reaching the maximum, and even less than the national average value at the end of the period. The imbalance of development efficiency among different provinces is increasing, and the potential for development efficiency in the central and western regions is relatively greater. These findings have important implications for promoting high-quality economic development and common prosperity in China. In the future, we should continually prevent the development efficiency of digital finance to decline rapidly in all provinces (especially in the eastern region), and strive constantly to bridge the gap of development efficiency among different province, so as to provide a better surrounding for promoting high-quality economic development and common prosperity.","PeriodicalId":45226,"journal":{"name":"Quantitative Finance and Economics","volume":"274 1","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measuring provincial digital finance development efficiency based on stochastic frontier model\",\"authors\":\"Guang Liu, Hong Yi, Haonan Liang\",\"doi\":\"10.3934/qfe.2023021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Effective development of digital finance is vital to closing the regional economic disparities. This study aims at investigating the efficiency of digital finance development in China and its implications for closing regional economic disparities. Using the stochastic frontier model, we estimate the development efficiency of digital finance in 31 provinces in China from 2011 to 2020, and reveal their characteristics of temporal evolution and spatial distribution. The results show that the efficiency of digital finance development in each province shows a tendency to increase quickly first and then slowly decline. The provinces with a higher level of digital finance development always have higher development efficiency at the beginning of the sample period, which then declines rapidly after reaching the maximum, and even less than the national average value at the end of the period, with significant regional disparities observed. The provinces with a higher level of digital finance development always have higher development efficiency at the beginning of the sample period, which then declines rapidly after reaching the maximum, and even less than the national average value at the end of the period. The imbalance of development efficiency among different provinces is increasing, and the potential for development efficiency in the central and western regions is relatively greater. These findings have important implications for promoting high-quality economic development and common prosperity in China. In the future, we should continually prevent the development efficiency of digital finance to decline rapidly in all provinces (especially in the eastern region), and strive constantly to bridge the gap of development efficiency among different province, so as to provide a better surrounding for promoting high-quality economic development and common prosperity.\",\"PeriodicalId\":45226,\"journal\":{\"name\":\"Quantitative Finance and Economics\",\"volume\":\"274 1\",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Finance and Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3934/qfe.2023021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Finance and Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/qfe.2023021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

数字金融的有效发展对缩小区域经济差距至关重要。本研究旨在探讨中国数字金融发展的效率及其对缩小区域经济差距的影响。利用随机前沿模型,对2011 - 2020年中国31个省份的数字金融发展效率进行了估算,揭示了其时间演化特征和空间分布特征。结果表明,各省数字金融发展效率呈现先快速上升后缓慢下降的趋势。数字金融发展水平较高的省份在样本期初的发展效率始终较高,在达到最大值后迅速下降,在样本期终时甚至低于全国平均值,区域差异显著。数字金融发展水平较高的省份在样本期初的发展效率始终较高,在达到最大值后迅速下降,在样本期终时甚至低于全国平均值。各省间发展效率的不平衡在加剧,中西部地区发展效率的潜力相对较大。这对促进中国经济高质量发展和共同繁荣具有重要意义。未来,我们要不断防止各省(特别是东部地区)数字金融发展效率快速下降,不断努力缩小各省之间发展效率的差距,为促进经济高质量发展、共同繁荣提供更好的环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Measuring provincial digital finance development efficiency based on stochastic frontier model
Effective development of digital finance is vital to closing the regional economic disparities. This study aims at investigating the efficiency of digital finance development in China and its implications for closing regional economic disparities. Using the stochastic frontier model, we estimate the development efficiency of digital finance in 31 provinces in China from 2011 to 2020, and reveal their characteristics of temporal evolution and spatial distribution. The results show that the efficiency of digital finance development in each province shows a tendency to increase quickly first and then slowly decline. The provinces with a higher level of digital finance development always have higher development efficiency at the beginning of the sample period, which then declines rapidly after reaching the maximum, and even less than the national average value at the end of the period, with significant regional disparities observed. The provinces with a higher level of digital finance development always have higher development efficiency at the beginning of the sample period, which then declines rapidly after reaching the maximum, and even less than the national average value at the end of the period. The imbalance of development efficiency among different provinces is increasing, and the potential for development efficiency in the central and western regions is relatively greater. These findings have important implications for promoting high-quality economic development and common prosperity in China. In the future, we should continually prevent the development efficiency of digital finance to decline rapidly in all provinces (especially in the eastern region), and strive constantly to bridge the gap of development efficiency among different province, so as to provide a better surrounding for promoting high-quality economic development and common prosperity.
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
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
期刊最新文献
The effects of different modes of foreign bank entry in the Turkish banking sector during the 2007–2009 Global financial crisis Cost and performance of carbon risk in socially responsible mutual funds Investing in virtue and frowning at vice? Lessons from the global economic and financial crisis Wavelet-based systematic risk estimation for GCC stock markets and impact of the embargo on the Qatar case Autoregressive distributed lag estimation of bank financing and Nigerian manufacturing sector capacity utilization
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1