Page 260 - Contributed Paper Session (CPS) - Volume 6
P. 260
CPS1913 Andrey K.
The objective of this work is to harmonize the methodological aspects of
determining a minimum set of core data and indicators stated in the “Global
strategy to improve agricultural and rural statistics” in the CIS countries in
order to establish information resources in compliance with international
standards and recommendations. The paper presents a comparative analysis
of the methodologies applied by NSOs for collecting data to produce
agricultural and rural statistics. A description is given of the capacity of the
information resources in CIS countries to form a minimum set of core data and
a set of indicators in the area of agricultural and rural statistics; including
indicators for such industries as agriculture, forestry, and fishery and
aquaculture, and also indicators addressing the issues of climate change,
availability of land resources, agricultural impacts on the environment, and the
economics of rural areas, which are stated in the Global Strategy. Proposals
were made for the approaches to improve the methodology of statistical
observation in the CIS countries in accordance with the international standards
and recommendations. Also, proposals were developed to harmonize the
methodologies for establishing a minimum set of core data and a set of
indicators and adjustment procedures (conversion keys) to obtain comparable
data for CIS countries on the indicators used to describe the conditions and
development of agriculture and rural areas, as well as proposals for obtaining
derived indicators to enable international comparisons.
The development of agricultural statistics in the CIS region is based on a
balance approach, being considered a part of the general statistical system. In
this context the CIS-Stat paid special attention to consistency between
agricultural statistics and other branches of statistics, especially – national
accounts. Methodological recommendations were prepared to assess output
and intermediate consumption for the agriculture production account
(see [7]).
The paper contains a broad overview of the sources of primary data
necessary for estimating the output of agriculture, examines their features,
relative advantages and limitations, and procedures for data processing. One
of the tools for calculating agricultural output may be balance sheet of
production and use of agricultural products; its scheme is described in the
paper. These balance sheets enable balancing and harmonizing information
on production and use of agricultural produce; they may be used as technical
tools for calculating output of some groups of agricultural products. In a
separate section the use of balance sheets for estimating output of livestock
breeding is described. The use of balance sheets is particularly important for
assessing production of enterprises in the informal sector, as data on their
activities are collected mainly through sample surveys. Use of 2008 SNA
concepts for describing and analyzing agricultural production and other
aspects of economic activities in the agricultural sector will improve the quality
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