Article Fingerprint
ReserarchID
2C6XT
This research examines the causal relationship between social conflicts and Value-Added Tax (VAT) in Mozambique. The study tests two hypotheses; the “tax-burden” hypothesis which is used to evaluate the long-run relationship, and the “tax-conflicts” hypothesis which estimates the short-run relationship between VAT and social conflicts. Vector Error Correction Model (VECM) is used to examine this relationship. The data used comprise the period from 1994 to 2018. The outcomes of the study suggest that the prices of goods and services included in the new VAT system had a causal relationship with social conflicts in the short-run in Mozambique; these results support the “tax-conflicts” hypothesis. Under this hypothesis, the unsustainable tax imbalances can be mitigated by exempting or reducing the VAT of some indispensable consumption goods and services. The VECM results of long-run causal relationships suggest a bidirectional causality between VAT and social conflicts, supporting the “taxburden” hypothesis. Under this hypothesis our finding suggests that in the long-run Mozambique’s central government should design a new VAT system; expand and diversify the sources of revenue.
Luciano S. Gule. 2021. \u201cThe Causal Relationship Between Value- Added Tax and Social Conflicts: Evidence from Mozambique\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 21 (GJHSS Volume 21 Issue E5).
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 146
Country: Japan
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Luciano S. Gule (PhD/Dr. count: 0)
View Count (all-time): 167
Total Views (Real + Logic): 1857
Total Downloads (simulated): 961
Publish Date: 2021 10, Sat
Monthly Totals (Real + Logic):
This study aims to comprehensively analyse the complex interplay between
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.