Czech Republic, tax revenue and % of GDP by level of government and main taxes

Keyword(s):  
2021 ◽  
Vol 92 ◽  
pp. 01023
Author(s):  
Eva Lajtkepová

Research background: In theory, indebtedness of municipalities is only ever associated with the acquisition of investments. It is advised that indebtedness should be regulated by the state, but there is a risk of limiting investment in local infrastructure. Purpose of the article: According to Act No. 23/2017 Coll., municipalities must regulate their own indebtedness and comply with the fiscal rule on pain of penalty. The aim of this text is to provide an analysis and examine the prospects of compliance with the fiscal rule in 205 municipalities with extended power. The analysis is carried out between 2017 and 2019, the risks of compliance in the following years mainly relate to the emerging economic crisis caused by the COVID-19 pandemic. Methods: Given the subject of the analysis, secondary data was used for the research. Data was taken from the Monitor database operated by the Ministry of Finance of the Czech Republic. The obtained data had been processed using standard statistical methods. Findings & Value added: To date, the indebtedness of municipalities with extended power is not excessive: the mean and median values are still well below the legal limit. Still, there are some municipalities where the legal limit has been exceeded, or whose indebtedness is nearing the limit. In the event of reduced tax revenue, which is to be expected in the coming years, these municipalities will struggle to comply with the fiscal rule. The consequences will include halting or limiting local investment, and/or reducing the quality of local public goods.


Author(s):  
Dennis Nchor ◽  
Tomáš Konderla

This study investigates the shadow economy of Czech Republic and the associated losses in tax revenue. The presence of a shadow economy may not necessarily be bad for the economies in which they prevail but they could cause huge losses to government revenue and could also constitute serious violation of labour regulations. The study uses the Currency Demand Approach. It measures the size of the shadow economy in two stages: a) the econometric estimation of an aggregate money demand equation b) the calculation of the value of the shadow economy through the quantity theory of money. The key variables in the study include: the total currency held outside the banking system, the number of automatic teller machines, the deposit interest rate, GDP deflator, the average tax, velocity of money, nominal GDP and nominal money supply. The results from the study show that the shadow economy of Czech Republic on the average is about 20.9 % as at the end of 2013 and the country loses an average tax revenue of about 7.2 % of GDP yearly. The data was obtained from the World Bank country indicators and the International Financial Statistics.


2016 ◽  
Vol 48 (60) ◽  
pp. 5866-5881 ◽  
Author(s):  
Tomas Havranek ◽  
Zuzana Irsova ◽  
Jiri Schwarz

2020 ◽  
Author(s):  
Dennis Nchor

AbstractThis paper examines the drivers and the size of the shadow economies of the Czech Republic, Hungary and Poland. It also investigates the tax losses associated with these shadow economic activities in all three countries. The Multiple Indicators and Multiple Causes (MIMIC) model is applied and uses time series data covering the period 1990–2019. The key findings show that the sizes of the shadow economies of the Czech Republic, Hungary and Poland are 10.44, 11.18 and 20.47% respectively. The results also show that the average size of the shadow economies between 1990–2019 was 14.92% in the Czech Republic, 18.72% in Hungary and 22.85% in Poland. The Czech Republic loses 3.13% of tax revenue from goods and services and 2.83% from incomes and profits as a result of the shadow economy, while Hungary loses 5.05% of tax revenue from goods and services and 1.68% from incomes and profits. Poland loses 5.25% of tax revenue from goods and services and 4.34% from incomes and profits.


Author(s):  
Michal Karas

The aim of this article is to model the relationship between the rate of personal income tax and the revenue it generates, and to derive a tax rate that would maximize this revenue within the Czech Republic, using methodologies described in earlier works (Hsing, 1996). This tax rate represents an upper limit. Overstepping it has negative consequences for corporate finances and government budgetary funding alike, because it undermines the workers’ motivation to work, reduces buying power, and shifts work activities in favor of gray economy. The period of interest is a time series from 1993 to 2010. Two models were devised. The basic research instrument was a second-degree polynomial regression with a logarithmic transformation of the input data. The explaining variable was the tax revenue, the explanatory variable in Model 1 was the ratio of tax revenue to personal gross annual income. Model 2 featured the ratio of tax revenue to gross domestic product. To limit model instability, all data was stated per capita, in 2010 prices. Both models are statistically significant. By comparison, it was determined that, in the period of 1994–2010, the historical tax rate was lower than the rate designed to maximize the revenue. It approached the theoretical optimum most closely in 2007, and deviated from it most severely in 1995.


1998 ◽  
Vol 12 (1) ◽  
pp. 7-24 ◽  
Author(s):  
Koupilova ◽  
Vagero ◽  
Leon ◽  
Pikhart ◽  
Prikazsky ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document