VAT and its influence on buying behaviour in the Czech Republic

• Authors: Vladimira Kučerová

Abstracts

EN

Research background: Value added tax (VAT) is nowadays the most widely used indirect tax system in developed countries. Value added tax, is an instrument of fiscal policy and also a very important source of income for the state budget. It is one of the universal indirect taxes, which has a significant influence on the price level in the country. The European Union's system of value added tax on goods and services is primarily governed by "the 6th VAT Directive" set by the European Commission. Purpose of the article: The paper deals with the question of how changes in the rates of value added tax influence the buying behaviours of customers. Buying behaviour could be expressed as decisions of customers about spending their own resources such as money, effort and time, on items related to their consumption in order to meet their needs. Methods: The area of the research is the Czech retail food market. Due to the nature of VAT, the influence of this tax on buying behaviour was quantified by price elasticity of demand and indirect tax elasticity of demand, respectively. The article is conceived as a case study, according to the principles of R.K. Yin. The evaluation of buying behaviour is based on real data, which deals with the volumes of sales and sales prices realized in a specific Czech retail chain, which associates more than 200 shops. Findings & Value added: The goal of the study is not only to propose the way to identify buyers' response to the changes in the VAT rate, but also to bring the knowledge about customers? response to the realized changes, and finally to propose how to use this knowledge in a development of pricing strategy in case of further changes in the VAT rate.

Keywords

EN

Value Added Tax; price elasticity of demand; buying behaviour; food retail; case study

• Publisher: Instytut Badań Gospodarczych
• Journal: Oeconomia Copernicana
• Year: 2017
• Volume: 8
• Issue: 3
• Pages: 353-366

Dates

published

2017

Contributors

author

Vladimira Kučerová

• Brno University of Technology

Identifiers

DOI

10.24136/oc.v8i3.22

Biblioteka Nauki

18797205