1.
BASIC CHARACTERISTIC, MACROECONOMIC INDICATORS, DISTRICTS
BASIC
CHARACTERISTIC
In the long
time series, an emphasis is placed on the methodological comparability of data
in particular. A number of changes occurred over the whole period, which
were brought about by the Czech Statistical Service striving for the
international comparability of methods and results of surveys.
The organizational structure of the national economy saw changes too. This
was why the time series of indicators had to be adjusted to correspond the
methodology and organizational structure of the latest year published (2002) so
that a correct assessment could be placed on the long-term development.
However, all the value indicators are given at current prices as sufficient
relevant data on price developments in both production and consumption areas
have not been available in the regional breakdown needed.
All the data are converted to
correspond to the new territorial self-governing units (new administrative
regions) in force since 1 January 2000. This adjustment was made by
redistributing data on whole districts. On 1 January 1996 the District of Jeseník came
into being, whose territory was separated out of the District of Šumperk
(now in the Olomoucký Region) and in part from the District of Bruntál
(now in the Moravskoslezský Region). The published data on the new
district refer to the year of its establishment and later years, as no
retroactive conversion of absolute majority of the indicators is possible. Data
for years before 1996 are included in the districts concerned.
Due to the conversions some data are
not the same as those published before. In some cases the subject-matter
contents differ from data revealed in Chapter 14 – Territorial comparisons and,
as the case might be, from data in the other chapters. The reason behind is the
efforts to achieve long-term comparability.
The time series of regional GDP
indicators is fully comparable. The figures on emissions from stationary
polluters (REZZO 1 – 3) are comparable in the time series.
Population: the data are
comparable in terms of methodology in the whole time series, except
for the initial data for which the results derived from the Population and
Housing Census held as at 1 March 1991 had to be chosen to depict trends in
population and age structure. The data on the population in 2001 already follow
up the definitive results of the Population and Housing Census as at 1 March
2001 and also include, in accordance with international conventions, numbers of
foreigners staying long in the country. The relative indicators are based
on mid-year population figures in respective years and are fully comparable
too. The exception is the year 1990, whose mid-year population figure was not
updated by the results of the Housing and Population Census taken in
1991.
Labour: there were
considerable changes in the borderline between large (surveyed) and small (not
surveyed) enterprises. These changes concern the trend in the number of
employees in particular and, to a lesser extent, the development of
the average monthly wage. Being aware of these problems, we are releasing data
dating back to 1994 (those for 1990 broken down by industry cannot constructed
in this methodology). The set of reporting units concerned developed as
follows:
1995 and 1996 enterprises with 25+ employees
incorporated, (in agriculture: holdings with 1 000 ha of agricultural land
and over, specialized agricultural holdings; in industry, trade, hotels and
restaurants: enterprises with 100+ employees), all entities classified
to financial intermediation, all entities classified to non-business
sphere, excluding the armed forces;
1997 to 2002 enterprises with 20+ employees
incorporated and unincorporated, all entities classified to financial
intermediation, all entities classified to non-business sphere, excluding the
armed forces.
The data are
broken by district of the workplace or, since 2002, by district the head
office of the enterprise. The classification to industries is
governed by the principal activity of the enterprise.
Unemployment: the data are
fully comparable.
Acquisition of tangible and
intangible fixed assets: processed by the territorial method (district,
place of constructions). The time series is adversely affected by changes in
the set of reporting units, as in labour statistics. Due to changes
in methodology, these data are not comparable with those shown in Chapter
7.
Agriculture: a significant
change in the methodology occurred in 2002. Classified In agriculture according
to standards of the EU are units which exceed specified “threshold limits” such
as farming on one hectare of agricultural land or breeding one head of cattle
or two pigs or 50 hens, etc. Smaller agricultural activities have been have
been classified under the household sector as “hobby activities” of the
population. However, their extent at the regional level is impossible to
establish with sufficient reliability. Any retroactive conversion of time
series to a comparable basis is impossible, either.
Industry: only the data
referring to years since 1997 are comparable. They refer to enterprises with
100+ employees having their head offices on the territory concerned. Since 1997
industrial activity sales are also monitored, in place of the former production
of goods (gross production). In construction, too, fully comparable data
are available since 1997 (enterprises with 20+ employees and based on
respective territories). On the other hand, the data on housing construction
and building permits are comparable in the entire time series rather
easily.
Education: the data are not
fully comparable in the time series. In each year they reflect the valid
breakdown of the system of basic schools, secondary schools and universities.
The information is taken from the departmental information system of the
Ministry of Education, Youth and Sports of the CR.
Culture: the data on the
number of establishments and facilities are surveyed directly in individual
districts, irrespective of the founder. They are fully comparable in the time
series.
Health: the data are
taken from the departmental information system of the Ministry of Health
of the CR. The time series is comparable, where only health
establishment falling under the Ministry of Health of the CR are involved
(as opposed to Table 1-1 and Chapters 9 and 14, which deal with establishments
belonging to all departments). Besides, detached units of the health
establishments are not covered (unlike Chapter 13).
Social security: the data
source is the departmental survey taken by the Ministry of Labour and Social
Affairs of the CR, whose results give a view of social care from the angle of
the management structure. Another view is territorial and this is dealt with in
Chapter 9.
Crime
and accidents: included are data from the departmental information system
of the Ministry of the Interior of the CR, which are fully comparable in
the time series. Older data are difficult to publish as they are not available
itemized by district, which is why data for new administrative regions could
not be produced.
MACROECONOMIC
INDICATORS
The top-down prorating method was
employed to regionalize gross domestic product and gross value added. The
method, which uses the volume of wages paid broken down by industry and region
for the prorating, was accepted by the Statistical Office of the European
Communities (Eurostat) in February 1998. The volume of investments by place of
construction was used to prorate gross fixed capital formation.
For the purpose of international
comparisons, the data given at CZK basic prices were converted according to PPP
(purchasing power standard) using coefficients issued by Eurostat. All the data
in the time series are fully comparable.
DISTRICTS
Evaluating the comparability of data on
individual districts is governed by the same principles as those applying to
time series for the whole region. The time series can be used virtually without
any restriction given the fact that the tables deal with the years 2000 - 2002
only.
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