ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSIS

The purpose of this paper is to analyse public sector efficiency of 75 developing countries. In a first step, we have computed Public Sector Performance (PSP) indicators for the period of 2000-2018. Based on these PSPs, we have estimated efficiency scores using Data Envelopment Analysis (DEA). The i...

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Main Authors: Nahed Trabelsi, Younes Boujelbene
Format: Article
Language:English
Published: Journal of Smart Economic Growth 2023-11-01
Series:Journal of Smart Economic Growth
Online Access:https://jseg.ro/index.php/jseg/article/view/213
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author Nahed Trabelsi
Younes Boujelbene
author_facet Nahed Trabelsi
Younes Boujelbene
author_sort Nahed Trabelsi
collection DOAJ
description The purpose of this paper is to analyse public sector efficiency of 75 developing countries. In a first step, we have computed Public Sector Performance (PSP) indicators for the period of 2000-2018. Based on these PSPs, we have estimated efficiency scores using Data Envelopment Analysis (DEA). The input-oriented DEA analysis reveals that countries can achieve the same level of performance using 42% less spending. The output-oriented DEA models conclude that developing countries can increase their performance by 33% with the same level of public spending. In a second step, we have examined the determinants of efficiency of public sector by applying a Bootstrap analysis. The empirical explanation of the efficiency scores reveals that the strong institutions can play a crucial role in enhancing the efficiency of public sector. Our findings can be useful for policymakers in order to set out a structural adjustment plan to improve the efficiency level for public sector.
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spelling doaj.art-03807cd944aa43359bea6c54d1e8713c2024-03-21T18:56:03ZengJournal of Smart Economic GrowthJournal of Smart Economic Growth2537-141X2023-11-018295125213ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSISNahed Trabelsi0Younes BoujelbeneeconomicThe purpose of this paper is to analyse public sector efficiency of 75 developing countries. In a first step, we have computed Public Sector Performance (PSP) indicators for the period of 2000-2018. Based on these PSPs, we have estimated efficiency scores using Data Envelopment Analysis (DEA). The input-oriented DEA analysis reveals that countries can achieve the same level of performance using 42% less spending. The output-oriented DEA models conclude that developing countries can increase their performance by 33% with the same level of public spending. In a second step, we have examined the determinants of efficiency of public sector by applying a Bootstrap analysis. The empirical explanation of the efficiency scores reveals that the strong institutions can play a crucial role in enhancing the efficiency of public sector. Our findings can be useful for policymakers in order to set out a structural adjustment plan to improve the efficiency level for public sector.https://jseg.ro/index.php/jseg/article/view/213
spellingShingle Nahed Trabelsi
Younes Boujelbene
ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSIS
Journal of Smart Economic Growth
title ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSIS
title_full ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSIS
title_fullStr ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSIS
title_full_unstemmed ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSIS
title_short ASSESSING PUBLIC SECTOR EFFICIENCY IN DEVELOPING COUNTRIES WITH DEA AND BOOTSTRAP ANALYSIS
title_sort assessing public sector efficiency in developing countries with dea and bootstrap analysis
url https://jseg.ro/index.php/jseg/article/view/213
work_keys_str_mv AT nahedtrabelsi assessingpublicsectorefficiencyindevelopingcountrieswithdeaandbootstrapanalysis
AT younesboujelbene assessingpublicsectorefficiencyindevelopingcountrieswithdeaandbootstrapanalysis