What drives tax morale in selected North African economies? Empirical evidence from Algeria, Morocco and Tunisia using simulated ARDL and GMM quantile regressions
{"title":"What drives tax morale in selected North African economies? Empirical evidence from Algeria, Morocco and Tunisia using simulated ARDL and GMM quantile regressions","authors":"Assidi Soufiene , Jamel Boukhatem , Qaiser Abbas","doi":"10.1016/j.rspp.2024.100141","DOIUrl":null,"url":null,"abstract":"<div><div>This study attempts to analyze the driving factors of tax morale in selected North African countries over the period 1984–2022. For this purpose, we use simulated ARDL and Frequency Domain Causality for time-series analysis and GMM-QR for dynamic panel analysis. According to long-run empirical estimations, educational growth positively contributes to enhancing tax morals in Algeria, Morocco, and Tunisia, whereas GDP and corruption contribute negatively. However, this relationship fluctuates in the short term. In addition, all independent variables positively and significantly maintain causality for tax morals. Furthermore, the dynamic estimation confirms the above relationship in the long-run in the panel. Although education and GDP maintained the same relationship in the GMM-QR estimation, corruption levels remained insignificant during the quantile period. Considering the pioneering study of the area, this study suggests some key factors that should be given more attention for enhancing tax morals in the region and ultimately improving the tax-to-GDP ratio.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"16 12","pages":"Article 100141"},"PeriodicalIF":1.7000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Science Policy and Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1757780224003524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
This study attempts to analyze the driving factors of tax morale in selected North African countries over the period 1984–2022. For this purpose, we use simulated ARDL and Frequency Domain Causality for time-series analysis and GMM-QR for dynamic panel analysis. According to long-run empirical estimations, educational growth positively contributes to enhancing tax morals in Algeria, Morocco, and Tunisia, whereas GDP and corruption contribute negatively. However, this relationship fluctuates in the short term. In addition, all independent variables positively and significantly maintain causality for tax morals. Furthermore, the dynamic estimation confirms the above relationship in the long-run in the panel. Although education and GDP maintained the same relationship in the GMM-QR estimation, corruption levels remained insignificant during the quantile period. Considering the pioneering study of the area, this study suggests some key factors that should be given more attention for enhancing tax morals in the region and ultimately improving the tax-to-GDP ratio.
期刊介绍:
Regional Science Policy & Practice (RSPP) is the official policy and practitioner orientated journal of the Regional Science Association International. It is an international journal that publishes high quality papers in applied regional science that explore policy and practice issues in regional and local development. It welcomes papers from a range of academic disciplines and practitioners including planning, public policy, geography, economics and environmental science and related fields. Papers should address the interface between academic debates and policy development and application. RSPP provides an opportunity for academics and policy makers to develop a dialogue to identify and explore many of the challenges facing local and regional economies.