Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/49580
Full metadata record
DC FieldValueLanguage
dc.date.accessioned2019-12-11T09:46:11Z-
dc.date.available2019-12-11T09:46:11Z-
dc.date.issued2019-
dc.identifier.citationBaldacchino, A.M. (2019).The Forecasting process of tax revenue adopted by the Maltese government (Master's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/49580-
dc.descriptionM.ACCTY.en_GB
dc.description.abstractPurpose: This study aims to analyse the forecasting process of tax revenue adopted by the Maltese Government. Therefore, this dissertation endeavours to examine this process and its importance. The study further seeks to identify the risks inherent in the process. Lastly, it intends to explore and assess the measures that are and may be undertaken to mitigate risks and improve the forecasting process of tax revenue Design: The objectives of this study were reached by conducting eight semistructured interviews with officials within the Ministry for Finance, Malta Fiscal Advisory Council, National Audit Office, National Statistics Office, and Office of the Commissioner for Revenue, as well as an independent institution. Findings: This study shows that the Maltese forecasting process of tax revenue consists of numerous stages, demonstrating the efforts the parties involved in the process make to obtain all the pertinent information to prepare accurate forecasts. This research further ascertains that the forecasting process of tax revenue is vital, albeit subject to risks which are never eliminated completely. Nevertheless, the Maltese Government undertakes measures to mitigate these risks and improve the forecasting process. Moreover, this research discovered some new initiatives which are not yet implemented and that could be introduced in the foreseeable future in the hope of making further improvements in the forecasting process of tax revenue. Conclusion: Tax revenue is the major income source for the government, which makes its forecasting process crucial. The process is also vital since the allocation of government spending depends on tax revenue forecasts, and because it provides information which is included in the reports required by the European Commission. Therefore, the management and understandability of this process are crucial. Consequently, it is essential to comprehend the risks involved in the process, and to take measures to reduce these risks, while improving the forecasting process of tax revenue. Value: This research offers insight into the forecasting process of tax revenue adopted by the Maltese Government. This study additionally provides new possible measures that can be undertaken to mitigate the risks and enhance the current forecasting process of tax revenue.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectRevenue -- Maltaen_GB
dc.subjectTaxation -- Maltaen_GB
dc.subjectTax revenue estimating -- Maltaen_GB
dc.titleThe forecasting process of tax revenue adopted by the Maltese Governmenten_GB
dc.typemasterThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Economics, Management and Accountancy. Department of Accountancyen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorBaldacchino, Anne Marie-
Appears in Collections:Dissertations - FacEma - 2019
Dissertations - FacEMAAcc - 2019

Files in This Item:
File Description SizeFormat 
19MACC011.pdf
  Restricted Access
2.49 MBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.