{"title":"是什么驱动了北非部分经济体的纳税士气?利用模拟 ARDL 和 GMM 量化回归从阿尔及利亚、摩洛哥和突尼斯获得的经验证据","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":"{\"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}","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
摘要
本研究试图分析 1984-2022 年间北非部分国家税收士气的驱动因素。为此,我们使用模拟 ARDL 和频域因果关系进行时间序列分析,使用 GMM-QR 进行动态面板分析。根据长期经验估计,在阿尔及利亚、摩洛哥和突尼斯,教育增长对提高税收道德有积极作用,而国内生产总值和腐败则有消极作用。不过,这种关系在短期内有所波动。此外,所有自变量都对税收道德有显著的正向因果关系。此外,动态估计证实了上述关系在面板中的长期性。虽然教育和 GDP 在 GMM-QR 估计中保持了相同的关系,但腐败水平在量化期间仍不显著。考虑到该地区的开创性研究,本研究提出了一些关键因素,这些因素应得到更多关注,以提高该地区的税收道德,并最终改善税收与 GDP 的比率。
What drives tax morale in selected North African economies? Empirical evidence from Algeria, Morocco and Tunisia using simulated ARDL and GMM quantile regressions
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.