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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	März 2020
Genre:	Wirtschaft / Recht
ISBN:	9783346128935
EAN-Code:	9783346128935
Verlag:	Grin Verlag
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 210 mm / B 148 mm / D 3 mm
Gewicht:	56 gr
Seiten:	28
Zus. Info:	Paperback
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Academic Paper from the year 2019 in the subject Business economics - Accounting and Taxes, grade: 100, Kenyatta University, language: English, abstract: Taxes play a crucial role in the development of a nation. In Kenya, tax revenues have always failed to reach the anticipated collection targets due to many factors. The taxman has had to develop policies that aim at reforming tax management and achieve the set targets In this regard the researcher seeks to study the effects of rental tax reforms on revenue collection by the Kenya Revenue Collection agency as the main objective. The specific objectives of this study are; to identify the effect of monthly rental income on rental revenue collection, to determine the effects of withholding rental income on rental revenue collection, to find out the effect of tax amnesty on rental revenue collection and to investigate the effect of block management systems sector on rental revenue collection The study is guided by the dynamic theory of public spending, taxation, and debt and the technological advancement theory. An empirical review is also undertaken to link the independent variables to revenue collection and the research gaps arising. The study shall adopt a descriptive research design and a case of KRA shall be carried out. The target population is 500 employees and a sample size of 81 has been obtained for this matter. Questionnaires shall be used to gather primary data whereas secondary data shall be obtained from KRA, the Ministry of Finance and other relevant entities. The data shall then be analysed using IBM SPSS version 20.0, classified, tabulated and summarized using figures, summary statistics of the mean, and standard deviation percentages and frequency distribution tables. A detailed explanation of the data shall also accompany the presentation.