Respondent

Oksenyuk Oksana Ihorivna

Theme

Fiscal efficiency of value added tax in the Ukrainian economy.

Defence Date

18.02.2016

Annotation

Thesis for the Candidate Degree in Economic Sciences. Specialty 08.00.08 – Money,
Finance and Credit – Ivan Franko National University of Lviv – Lviv, 2016.
In the thesis were disclosed different ways of interpretation of the essence of fiscal
efficiency  of  VAT  and  was  proposed  this  way  of  interpretation:  the  ability  of  VAT  to
ensure sufficient revenues to cover the cost of budgetary compensation, tax administration
and  the  ability  to  cover  the  costs  carried  out  by  collecting  VAT  revenues,  while
minimizing  losses  of  applying  tax  rebates,  VAT  fraud  mechanisms  and  minimizing  the
amount  of  shadow  taxes.  The  factors  that  influence  the  fiscal  efficiency  of  VAT  were
discovered.
The  set  of indicators  used  to  measure  the  fiscal  efficiency  of  VAT  were  updated
with next: coefficient of revenues penalties (the correlation of overall revenues penalties
and  VAT  revenue),  with  coefficient  of  correlation  of  the  amount  of  tax  rebates  and
revenue from the VAT (this ratio also provides analysis of the assessment of dynamics of
exemptions and the amount of revenue lost because of the tax rebates) and with coefficient
of  the  correlation  of  the  amounts  of  uncompensated  and  compensated  VAT.  Their
normative values were determined and part of coefficients were used to analysis of foreign
experience.
The  recommendations  for  improving  the  system  of  VAT  punitive  penalties  were
improved  by  removing  the  penalty  for  the  failure  to  submit  or  late  submission  of
registration documents by VAT payers and by reducing the number of punitive penalties
by uniting them, which could provide the ability to reduce the pressure on taxpayers.
The order of VAT refunds in terms of priority and in terms of applicants eligibility
to  established  criteria  were  recommended  in  thesis.  Also  the  analysis  of  budgetary
compensation mechanism by determining the dynamics of correlation of compensated and
uncompensated amounts of VAT was made. In the thesis the algorithm of verification of
applicant’s right to obtain budgetary compensation was specifeid and the following actions
were  added:  the  requisition  of  additional  documents  after  the  cameral  inspection  by
supervisory  authority  took  place;  the  possibility  of  compensation  after  detecting  the
overstatement  of  the  amount  of  claimed  compensation;  the  cancellation  of  the  right  to
receive compensation after repeated overstatement of claimed compensation within 1095
days. In the thesis was proposed to update the list of taxpayers, provided in the Tax Code,
who have no right to get budgetary compensation with one more section: taxpayers who
have overstated the amount of compensations twice or more within twelve calendar moths.
The efficiency of the approved method for forecasting the VAT was rated and the
forecast  of  tax  revenues  was  made.  Also  were  generalized  the  shortcomings  of  the
approved  methods:  the  effect  of  changes  in  tax  rates  on  the  tax  base  changes  does  not
count, the low accuracy of taxation potential evaluation, considerably high complexity and
bulkiness of the general model, high inaccuracy of received forecasts and high dependence
on subjective opinions.
Also was proposed the introduction to the Tax Code of Ukraine the definition of
VAT and non-payers of VAT. The relationship between the size of the gross added value
and  the  volume  of  VAT  revenues  through  the  use  of  trend  model  was  justified.
Investigated methods of combating fraud, applicable in the EU and proposed to introduce
the  method  of  P-VAT  in  Ukraine.  Ways  to  improve  the  fiscal  efficiency  of  VAT  were
identifeid, taking into account international experience in tax.
Keywords: value added, VAT, tax liabilities, tax credit, fiscal efficiency of VAT,
budgetary compensation of VAT, forecast, tax rebates, penalties.

Dissertation File

Autosummary File