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A model to explain the impact of government revenue on the quality of governance and the SDGs

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Hall_2023_Economies_Model_government_CC.pdf (4.031Mb)
Date
31/03/2023
Author
Hall, Stephen
O'Hare, Bernadette Ann-Marie
Keywords
United Nations Sustainable Development Goals (SDGs)
Government revenue
Worldwide Governance Indicators; governance
Control of corruption
Government effectiveness
Political stability
Regulatory quality
Rule of law
Voice and accountability
GMM
ECM
HB Economic Theory
HJ Public Finance
3rd-DAS
SDG 16 - Peace, Justice and Strong Institutions
MCC
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Abstract
This paper empirically investigates the link between the level of government revenue per capita and six indicators of the quality of governance in an unbalanced panel data set consisting of all countries in the world (217 countries; due to some missing data, (this was reduced to 196) using data from 1996 to 2020. It uses single-equation generalised method of moment (GMM) techniques and a vector autoregressive (VAR) and vector error correction model (VECM) approach to investigate this issue. The results suggest a strong effect over time whereby an increase in government revenue leads to a steady improvement in governance. These findings suggest an important virtuous circle between government revenue and governance. As a result, additional government revenue can significantly impact the Sustainable Development Goals more than our previous work has suggested.
Citation
Hall , S & O'Hare , B A-M 2023 , ' A model to explain the impact of government revenue on the quality of governance and the SDGs ' , Economies , vol. 11 , no. 4 , 108 . https://doi.org/10.3390/economies11040108
Publication
Economies
Status
Peer reviewed
DOI
https://doi.org/10.3390/economies11040108
ISSN
2227-7099
Type
Journal article
Rights
Copyright © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Description
Funding: This study was funded under the UN-WIDER contract 605UU-000000003380.
Collections
  • University of St Andrews Research
URL
https://www.mdpi.com/2227-7099/11/4/108
URI
http://hdl.handle.net/10023/27312

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