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61
Динамика
результатив
-
ности
Динамика
эффективности
затрат
Динамика
в
пространстве
«
результативность
–
эффективность
затрат
»
Республика
Татарстан
0,06
0,03
0,15
Республика
Тыва
0,03
–0,04
0,04
Республика
Хакасия
–0,02
–0,09
–0,08
Ростовская
область
0,08
0,11
0,25
Рязанская
область
0,12
0,12
0,30
Самарская
область
0,03
0,00
0,11
Саратовская
область
0,03
0,00
0,07
Сахалинская
область
0,06
0,01
0,07
Свердловская
область
0,03
–0,02
0,13
Смоленская
область
0,02
–0,09
–0,01
Ставропольский
край
0,03
0,07
0,12
Тамбовская
область
0,08
0,10
0,25
Тверская
область
0,04
–0,02
0,02
Томская
область
0,02
–0,04
0,07
Тульская
область
0,11
0,21
0,31
Тюменская
область
–0,02
–0,02
0,17
Удмуртская
Республика
0,04
0,06
0,16
Ульяновская
область
0,07
0,06
0,21
Хабаровский
край
0,04
–0,04
0,08
Ханты
-
Мансийский
авт
.
округ
–
Югра
0,01
0,00
0,13
Челябинская
область
0,01
–0,03
0,16
Чувашская
Республика
0,08
0,14
0,25
Чукотский
авт
.
округ
–0,01
–0,05
–0,05
Ямало
-
Ненецкий
авт
.
округ
0,02
–0,08
0,00
Ярославская
область
0,04
0,08
0,15
62
Akhremenko, A.
Public Sector Ef
fi
ciency in Russian Regions: 2008 – 2011 [Electronic resource] :
Working paper WP14/2013/07 / A. Akhremenko ; National Research University “Higher School of
Economics”. – Electronic text data (1 MB). – Moscow : Publishing House of the Higher School of
Economics, 2013. – 64
р
. – (Series WP14 “Political Theory and Political Analysis”) (in Russian).
We address the problem of public sector ef
fi
ciency in Russian regions by applying Data Envelopment
Analysis (DEA). The main quantitative outcome of the study is the set of “social ef
fi
ciency” estimations
based upon DEA scores. The latter are calculated for the following public sector areas: healthcare,
security, education, housing and communal services, employment and poverty reduction. The returns
to scale are supposed to be variable, all inputs are monetary (budget expenditures), product possibility
frontier is the single one for the whole time period evaluated (2008 – 2011). We consider both input-
oriented and output-oriented ef
fi
ciency scores to be equally important.
Special attention is paid to the problem of ef
fi
ciency scores’ validity. The severity of this problem
originates in grand-scale heterogeneity and diversity of Russian regions. To reduce the impact of
exogenous factors (such as huge variety in transport infrastructure and climate conditions) on ef
fi
ciency
scores, we examine a number of techniques. They are regression analysis, Metafrontier and multi-
stage DEA. The best correction result, however, is achieved by relatively simple approach: division
of monetary inputs by Budget Expenditure Indexes (BEI). BEI values are provided by Russian Ministry
of Finance; the index is especially designed to take into account territorial differences.
The separate task is to analyze the ef
fi
ciency dynamics of Russian regions. Ef
fi
ciency scores for
different years from 2008 to 2011 are comparable due to the single product possibility frontier for the
whole time-series-cross-section data set. That makes possible to take the
fi
rst differences and calculate
weighted sums (for input-ef
fi
ciency and output ef
fi
ciency scores separately). The alternative methodology
developed by the author is to consider the dynamics of each region as a trajectory in a state space with
two dimensions: input ef
fi
ciency and output ef
fi
ciency rates. We propose the adopted formal tools to
present this evaluation as a scalar value.
Key words: Data Envelopment Analysis, ef
fi
ciency, effectiveness, public sector, Russian
regions.
Akhremenko Andrei
– Senior Researcher, Laboratory for Regional Political.
63
Препринт
WP14/2013/07
Серия
WP14
Политическая
теория
и
политический
анализ
64
Ахременко
Андрей
Сергеевич
Социальная
эффективность
государства
в
регионах
России
: 2008 – 2011
гг
.