Financial efficiency and financial resource allocation of Beijing–Tianjin–Hebei urban agglomeration

IF 1.8 4区管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Rairo-Operations Research Pub Date : 2023-09-05 DOI:10.1051/ro/2023131

Ce Guo, Jianwen Fu, Fangning Ma, Jingjing Zhan, Yi Sun, Qiwei Xie

{"title":"Financial efficiency and financial resource allocation of Beijing–Tianjin–Hebei urban agglomeration","authors":"Ce Guo, Jianwen Fu, Fangning Ma, Jingjing Zhan, Yi Sun, Qiwei Xie","doi":"10.1051/ro/2023131","DOIUrl":null,"url":null,"abstract":"This study focuses on improving financial efficiency and rationally allocating financial resources in the Beijing–Tianjin–Hebei, based on data from 2011 to 2019. Firstly, the Slack-Based Measure (SBM) model based on Shannon Entropy is adopted to measure financial efficiency in Beijing–Tianjin–Hebei. Secondly, a Beijing–Tianjin–Hebei inter-regional financial resource allocation scheme is proposed using the Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) model. Finally, the external environmental factors influencing financial efficiency were explored using spatial and other econometric models. Efficiency measurement reveals that financial efficiency in Beijing-Tianjin-Hebei is unevenly developed. The financial efficiency of Beijing, Tianjin, and Zhangjiakou is high and stable, whereas the financial efficiency of Tangshan, Langfang, and Shijiazhuang is high, but fluctuates significantly. In comparison, the financial efficiency of other cities is low. The factors and the adjustment amount to improve urban financial efficiency are obtained by studying the allocation of financial resources. And it is found that Tianjin and Tangshan have more financial resource surpluses than other cities. By exploring influencing factors, it is found that the financial development level, innovation level, and infrastructure construction level of Beijing-Tianjin-Hebei significantly affect financial efficiency.","PeriodicalId":54509,"journal":{"name":"Rairo-Operations Research","volume":"48 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rairo-Operations Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1051/ro/2023131","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}

引用次数: 0

Abstract

This study focuses on improving financial efficiency and rationally allocating financial resources in the Beijing–Tianjin–Hebei, based on data from 2011 to 2019. Firstly, the Slack-Based Measure (SBM) model based on Shannon Entropy is adopted to measure financial efficiency in Beijing–Tianjin–Hebei. Secondly, a Beijing–Tianjin–Hebei inter-regional financial resource allocation scheme is proposed using the Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) model. Finally, the external environmental factors influencing financial efficiency were explored using spatial and other econometric models. Efficiency measurement reveals that financial efficiency in Beijing-Tianjin-Hebei is unevenly developed. The financial efficiency of Beijing, Tianjin, and Zhangjiakou is high and stable, whereas the financial efficiency of Tangshan, Langfang, and Shijiazhuang is high, but fluctuates significantly. In comparison, the financial efficiency of other cities is low. The factors and the adjustment amount to improve urban financial efficiency are obtained by studying the allocation of financial resources. And it is found that Tianjin and Tangshan have more financial resource surpluses than other cities. By exploring influencing factors, it is found that the financial development level, innovation level, and infrastructure construction level of Beijing-Tianjin-Hebei significantly affect financial efficiency.

查看原文本刊更多论文

京津冀城市群金融效率与金融资源配置

本研究以2011 - 2019年的数据为基础，重点研究京津冀地区金融效率的提高和金融资源的合理配置。首先，采用基于Shannon熵的基于slack测度(SBM)模型对京津冀地区金融效率进行测度。其次，利用广义均衡有效前沿数据包络分析(GEEFDEA)模型，提出了京津冀区域间金融资源配置方案。最后，利用空间和其他计量模型探讨了影响金融效率的外部环境因素。效率测度表明，京津冀地区金融效率发展不均衡。北京、天津、张家口的金融效率较高且稳定，唐山、廊坊、石家庄的金融效率较高，但波动较大。相比之下，其他城市的金融效率较低。通过对金融资源配置的研究，得出了提高城市金融效率的因素和调整量。结果表明，天津和唐山的财政资源富余程度高于其他城市。通过对影响因素的探索，发现京津冀金融发展水平、创新水平和基础设施建设水平对金融效率影响显著。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Rairo-Operations Research 管理科学-运筹学与管理科学

CiteScore

3.60

自引率

22.20%

发文量

206

审稿时长

>12 weeks

期刊介绍： RAIRO-Operations Research is an international journal devoted to high-level pure and applied research on all aspects of operations research. All papers published in RAIRO-Operations Research are critically refereed according to international standards. Any paper will either be accepted (possibly with minor revisions) either submitted to another evaluation (after a major revision) or rejected. Every effort will be made by the Editorial Board to ensure a first answer concerning a submitted paper within three months, and a final decision in a period of time not exceeding six months.