Social Impact of VAT based tax transition: The case of Togo

Autor: Adandohoin, Kodjo
Přispěvatelé: Etudes & Documents - Publications, CERDI, Centre d'Études et de Recherches sur le Développement International (CERDI), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: CSAE Conference 2021: Economic Development in Africa
CSAE Conference 2021: Economic Development in Africa, Mar 2021, Online, United Kingdom
Popis: International audience; Does the tax system of developing countries absorb tax transition reforms based on VAT? This paper attempts to answer the question by assessing the distributional and poverty consequences of VAT based tax-tariff reforms stationed on the case of Togo. Building on a computable general equilibrium model of tax changes coupled with microsimulation framework, the paper evidences that, VAT based tax-tariff reform implemented at the country level is poverty and inequality increasing. A point for point increase in VAT to compensate for trade tax revenues with the actual VAT rate of 18% enlarges poverty at this country level. Nonetheless, a low VAT rate of 15%, with exemption of agricultural goods from VAT coverage is found to have preferred poverty consequences. Notwithstanding, the analysis reveals that, non-farmers’ households are the ones that encounter the greatest increase in poverty incidence following the reform, as compare to farmers. Yet, disaggregating households according to their residence place also reveals the interesting result that, poverty is urban based within the group of farmers, while at the same time is rural based within the group of non-farmers. The paper also points out that, targeted social transfers to households with revenue brought by the reform, may counteract the poverty rising effect of the reform, while dealing with inequality to some extent.
Databáze: OpenAIRE