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China’s regional public safety efficiency: a data envelopment analysis approach

This study develops a comprehensive public safety efficiency index that includes the inputs and outputs of regional public safety. The DEA-BC(2) model was used to measure the technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) of public safety at 31 province-level a...

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Detalles Bibliográficos
Autores principales: Zou, Yongguang, He, Yuemei, Lin, Weiling, Fang, Sha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505499/
https://www.ncbi.nlm.nih.gov/pubmed/32982029
http://dx.doi.org/10.1007/s00168-020-01025-y
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author Zou, Yongguang
He, Yuemei
Lin, Weiling
Fang, Sha
author_facet Zou, Yongguang
He, Yuemei
Lin, Weiling
Fang, Sha
author_sort Zou, Yongguang
collection PubMed
description This study develops a comprehensive public safety efficiency index that includes the inputs and outputs of regional public safety. The DEA-BC(2) model was used to measure the technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) of public safety at 31 province-level administrative divisions (regions) in China from 2014 to 2018, and to analyze the effectiveness of public safety in each year. The findings indicate that the average TE, PTE, and SE of all regions from 2014 and 2018 were mostly redundant and ineffective. The average Malmquist index continued to decline, with the lack of technological progress identified as the main hindering factor. The public safety efficiency of 31 regions was affected by the technical progress change, pure technical efficiency change, and scale efficiency change at different periods. The findings suggest that all regions should improve the public safety inputs, better allocate various input elements and utilize public safety resources more effectively.
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spelling pubmed-75054992020-09-23 China’s regional public safety efficiency: a data envelopment analysis approach Zou, Yongguang He, Yuemei Lin, Weiling Fang, Sha Ann Reg Sci Original Paper This study develops a comprehensive public safety efficiency index that includes the inputs and outputs of regional public safety. The DEA-BC(2) model was used to measure the technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) of public safety at 31 province-level administrative divisions (regions) in China from 2014 to 2018, and to analyze the effectiveness of public safety in each year. The findings indicate that the average TE, PTE, and SE of all regions from 2014 and 2018 were mostly redundant and ineffective. The average Malmquist index continued to decline, with the lack of technological progress identified as the main hindering factor. The public safety efficiency of 31 regions was affected by the technical progress change, pure technical efficiency change, and scale efficiency change at different periods. The findings suggest that all regions should improve the public safety inputs, better allocate various input elements and utilize public safety resources more effectively. Springer Berlin Heidelberg 2020-09-21 2021 /pmc/articles/PMC7505499/ /pubmed/32982029 http://dx.doi.org/10.1007/s00168-020-01025-y Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Zou, Yongguang
He, Yuemei
Lin, Weiling
Fang, Sha
China’s regional public safety efficiency: a data envelopment analysis approach
title China’s regional public safety efficiency: a data envelopment analysis approach
title_full China’s regional public safety efficiency: a data envelopment analysis approach
title_fullStr China’s regional public safety efficiency: a data envelopment analysis approach
title_full_unstemmed China’s regional public safety efficiency: a data envelopment analysis approach
title_short China’s regional public safety efficiency: a data envelopment analysis approach
title_sort china’s regional public safety efficiency: a data envelopment analysis approach
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505499/
https://www.ncbi.nlm.nih.gov/pubmed/32982029
http://dx.doi.org/10.1007/s00168-020-01025-y
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