{"title":"A Study of the Impact of Fiscal Decentralization on the Efficiency of Public Health Expenditure","authors":"Xiaoman Wu, Ting Geng, Xiaojie Peng","doi":"10.26689/pbes.v5i5.4104","DOIUrl":null,"url":null,"abstract":"In this present-day global pandemic that has not been completely resolved, health is a major concern among people, and correspondingly, people are demanding higher standards for public health products and services provided by the government. In this paper, we measure the technical efficiency of public health expenditure in each province by using the data envelopment analysis (DEA) model, and examine the impact of decentralization on the efficiency of public health expenditure under the fiscal decentralization system using the panel data from 31 provinces from 2012–2019 in a panel model subject to fixed effects.","PeriodicalId":310426,"journal":{"name":"Proceedings of Business and Economic Studies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Business and Economic Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26689/pbes.v5i5.4104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this present-day global pandemic that has not been completely resolved, health is a major concern among people, and correspondingly, people are demanding higher standards for public health products and services provided by the government. In this paper, we measure the technical efficiency of public health expenditure in each province by using the data envelopment analysis (DEA) model, and examine the impact of decentralization on the efficiency of public health expenditure under the fiscal decentralization system using the panel data from 31 provinces from 2012–2019 in a panel model subject to fixed effects.
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