E-taxation is one of the most popular e-government services. Most countries are focused on implementing an e-taxation system. The success of an e-taxation system depends on the taxpayers' acceptance of it. The taxpayers' intention to use an e-taxation system is determined by various factors. This chapter, based on empirical data collected from a survey of 505 respondents in Turkey, seeks to identify the factors that influence the taxpayers' acceptance of e-taxation system. It test various constructs of the UTAUT model – performance expectancy, trust perception, perceived risk, effort expectancy and facilitating conditions – on Turkish taxpayers' intention to use the e-taxation system. Structural equation modeling is used to analyze the effects of these variables on intention to use. The results indicate that performance expectancy and perceived risk have a significant impact on behavioral intention and that effort expectancy and facilitating conditions have a significant impact on intention to use.
Foreign direct investment (FDI) and privatization are two of the most important components in liberalization World. The aim of this study is to analyze whether there exist a statistically significant relationship between FDI and privatization, or not. To do so, a panel data sample of fourteen European Union (EU) Founder Nations in 1998-2012 was used to estimate various panel data models. The special feature of panel data is that it allows researchers to construct and test more realistic behavioral models that could not be identified using crosssection or time series data alone. Based on the sample results, between privatization as the primary independent variable and FDI was found a statistically significant positive relationship. Although other explanatory variables such as growth, trade openness, and corruption perceptions index, were found to have statistically significant effects on FDI, budget deficit was found to be statistically insignificant. Moreover, statistically significant parameters' signs showed that all of the economic expectations were satisfied.
Within the scope of optimal tax theory, the optimality problem of fiscal policies in the Turkish tax system for the period 1980-2019 will be discussed from the perspective of the Laffer curve. The study, it is aimed to obtain the real Laffer curve showing the relationship between total tax revenues and tax rate for Turkey. Macroeconomic variables such as tax rates, tax revenues, crisis periods, unemployment rates, and real wages are included in the analysis with the help of an econometric package program. Within the scope of time series, the effect of the tax rate on tax revenues was investigated using Johansen and ARDL cointegration approaches. According to the findings obtained from the analyses, the total tax rates in Turkey are on the right of the Laffer curve, in other words, the Laffer curve exceeds the optimal point. Based on the hypothetical existence of Laffer theorem’s in Turkey, the optimal tax rates were calculated for the total tax revenues, and the current tax rates of each year were compared with the optimal tax rates. It has been determined that the total tax rates in the specified period are in the forbidden region of the Laffer curve. This situation, which states that the tax burden has increased, reveals that the taxation process should be revised. There is no comprehensive empirical analysis of Turkey. The findings will guide the applications that will contribute to the field. The originality of the work; is based on the inclusion of time series analysis of macroeconomic data such as crisis periods, unemployment rates, real wages as independent variables in determining the relationship between tax revenues and tax rates. The validity of the Laffer curve for each tax (Income Tax, Corporation Tax, VAT) in the Turkish tax system can be examined with the data and methods used in the research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.