Economic science /13.
Regional economy
Ph.D.. Gabrel M.S.
SI «Іnstitute of Regіonal Research n.a. M.І.
Dolіshniy of the NAS of Ukraine», Lviv
An estimation of quality of structural changes is in the regions of
Ukraine
Quality of structural changes has a display in a
structural effect, that comes forward as main in the estimation of structural
changes. A structural effect is
determined as a change of general efficiency of economy. Usually a structural
effect is caused by changes in the structure of economy, the elements of that
have different levels of indexes of efficiency. At the same time, a structural
effect allows to estimate positive or negative influence of structural changes
in the redistribution of constituents on the change of general efficiency. The result of structural changes is estimated from the
point of view of progressiveness or regressiveness, and also their influence on
a general increase is in economy.
Methods that allow to carry out research as structural changes and evaluate
the real contribution of each economic activity in the macroeconomic dynamics
include structural changes method (method shift-share). Essence
of method in a classic kind consists in the quantitative study of differences
in the change (increase or reduction) of employment between territorial units
due to three factors: national trends, branch structure and specific regional
terms of development [1]. We
suggest to extend application of method of "shift-share" on research
of influence of structural changes on the results of functioning of structure
of economy of regions, to estimate their competitiveness and prospects of
development on a gross value added and employment of population.
For the evaluation of the real contribution of every
region in the dynamics of gross value added and employment of population in the
cut of types of economic activity, and also the quality of structural changes
are offered application of method of "shift - share" analysis.
According to methodology of research the common change of quantitative index is
decomposes on three components : national, branch and regional. The first takes
into account the increase of the investigated index in the scales of national
economy (factor of national part, that is National Share (NS)). Next components take
into account certain changes. In
particular the second component estimates a change due to the effect of
compound (effect of proportion or branch (Industry of mix - MIX effect), that
is under act of structure of economy. The third takes into account a change due to the
effect of competition (the differentiated change (of DIF effect). She
is folded in accordance with supposition, that the structure of economy of
concrete region within every type of economic activity is developed better or
worse in comparing to development in a national scale, id est takes into
account progress of concrete region trends.
The
general increase of index (Tlgh) is determined by using a next formula:
|
|
|
(1) |
A
national constituent allows to estimate the degree of influence of national
factors on efficiency of functioning of structure of economy of regions by
using a formula:
|
|
|
(2) |
where E
- a volume of gross value added, i - a region of country, r - a type of economic activity, 0,t – a sign of time
– national, branch, regional
levels.
A
branch constituent allows to educe influence of factors of development of
structure of economy on the indexes of certain types of economic activity of
region, that folded at the present structure of economy and it is determined by
using a formula:
|
|
|
(3) |
Due to
the results of calculations the formula is compared the rates of change of type
of economic activity
are with general national
and estimated the
effect of structure of economy. This effect is positive
in case that for the certain type of economic activity the rates of increase
are higher than for an economy on the whole, if less in comparing to national,
an effect is negative.
A regional
constituent characterizes the internal competitiveness of structure of economy
of region, that shows a degree to importance of certain type of economic
activity for a region and his contribution to the regional economy. Contribution of her efficiency is determined by comparing of growth of region of certain type of economic
with to the general growth of
economy by using
by using a formula:
|
|
|
(4) |
Fulfilled
the calculation a three constituents it is possible to educe hypotheses, that in
2013 most influence on the change of gross value added practically in all types
of economic activity has a national constituent. Then by the level of influence
there are a branch component and regional constituent (NS>MIX>DIF) [2,3].
Besides industry, construction and financial activities, where the greatest
impact on gross value added had national and regional
component (NS> DIF> MIX). More detailed influence of data of constituents
on gross value added of types of economic activity it costs to consider in
the cut of regions of Ukraine.
Maximal
influence of national constituent on the change of gross
value added
of
agriculture was felt by such regions as Dnepropetrovsk, Kharkiv, Poltava and
Kyiv. A minimum effect she had
on the Chernivtsi, Kherson and Mykolaiv regions. Did not use the
regional potential in agriculture and has the most negative indexes: Donetsk
and Zaporizhia regions.
It
costs to underline that in such regions as Dnepropetrovsk, Kharkiv, Poltava,
Vinnytsia and Kyiv are higher rates of increase of gross
value added
of
agriculture in comparing to the economy on the whole. At the same time, not a single region of national
effect felt in employment of agriculture. Although an industrial effect in employment of
population had positive influence in relation to all regions. Maximal
advantages on the whole had such regions as Odesa, Vinnytsya, Lviv. The Kyiv
area had a maximal regional effect only. Maximal advantages on the whole had such regions as Odesa,
Vinnytsia and Lviv. The maximal regional of effect only had in a Kyiv regions.
In 2013 the branch constituent of change of gross
value added
of industry had negative influence for most areas. Although
the Dnipropetrovsk and the Donetsk regions provided
the most additional increase of gross value added of
industry exceptionally by using a national constituent on a background negative
influence of branch component. That these areas have more subzero rates of
development of industry in comparing to the national indexes, although not lag
behind the pace of regional. At the same time proved most competitive the Dnipropetrovsk
and Poltava regions that is specialized on
industries of industry. Got the least effect the Ternopil and Chernivtsi regions. On the change of employment of population a
national and industrial constituent had negative influence for most areas. At
the same time the regional constituent of change of employment of population
gave a positive effect, except the Donetsk, Zaporizhia and Kirovohrad regions.
Summarizing,
higher said it follows to specify, that in 2013 a national effect in all
regions had exceptionally only positive character, both in the real sector and
in service business. At the same time, plenty quantity of regions has minus
indicator of MIX effect in real the
sector of economy. At the same time regions had the least intraregional
competitiveness in the field of services (to trade, health protection,
education). Except for some areas in trade and health protection (Kirovohrad,
Ivano-Frankivsk, Cherkassy regions and Kyiv), and also education
Literature
1.Сlark W., Reynolds A. A shift-share analysis of
reginal and sectoral productivity growth in contemporary Mexico. –
Austria : International Institute for Applied Systems Analiysis, 1980. –
55 р.
2. Валовий
регіональний продукт за 2013 рік: статистичний збірник / Державний комітет
статистики України. К. : Державна служба статистики України, 2015. – 109 с.
3. Регіони України : статистичний
збірник / Державний комітет статистики України. К. : Державна служба статистики
України, 2015. – Ч. I. –
291 с.