Page 280 - Invited Paper Session (IPS) - Volume 2
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IPS243 Arbab A. K
Cost of Production of Milk and meat in Mongolia
5. Master Sampling Fram e
Master Sampling Frame provides the basis for all data collections through
sample surveys and censuses, by allowing for selection of samples for several
different surveys or different rounds of the same survey, as opposed to
building an ad-hoc sampling frame for each survey.
Thanks to the design of SPARS, Bangladesh, Maldives and Timor-Leste
have already developed their MSF and others countries like Sri Lanka and
Nepal are in the process of development.
6. Food Balance Sheet
Food Balance Sheets present a comprehensive picture of the patterns of
a country's food supply during a specified reference period. The food balance
sheet shows for each food item the sources of supply and its utilization.
Trends in the overall national food supply can be identified through regular
tabulation of annual food balance sheets. These tabulations can also identify
changes that may have taken place in the types of food consumed, i.e. diet
patterns, and reveal the extent to which the food supply of the country as a
whole is adequate in relation to nutritional requirements. By combining food
and agricultural data in a country, a food balance sheet can provide a detailed
examination and appraisal of its food and agricultural situation. Following 12
countries have drafted/finalized their Food Balance Sheets for one to five
years.
Bhutan, Cambodia, China, Indonesia, Lao PDR, Maldives, Mongolia,
Pakistan, Sri Lanka, Myanmar, Nepal and Viet Nam
7. Crop Production Estimation
Among the Minimum Set of Core Data recommended by SPARS,
production of data on various crops is the priority activity for many countries
particularly those that are dependent on agriculture for the employment and
contribution to their economic value added.
Ongoing activities on crop production estimation in 3 countries
Bhutan (rice yield estimation),
Fiji,
Myanmar (rice yield estimation) and
3 other countries have already completed the implementation of crop
estimation related surveys.
Bangladesh (Crop area estimation and yield forecasting [AMIS])
Indonesia (estimation of rice production [Statistics Indonesia])
Sri Lanka (estimation of rice production and highland crops)
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