2010

a) Sources of data b) Data validation c) Worksheets

• SAFB is part of the SEAFA which is based on the SNA
• SNA consists of coherent, consistent and integrated
set of macro-economic accounts, balance sheets
and tables based on a set of internationally agreed concepts, definitions, classifications and accounting rules.
• Accounts present in a consolidated way a great mass of detailed information, organised according to economic principles and perceptions, about working of an economy
• Primary purpose for compiling the SEAFA is to link socio-economic databases relating to food
consumption, labour force, etc. to the accounts for undertaking analytical studies.

The SNA has suggested that satellite accounts may be compiled for:
(a) providing additional information on social concerns of a functional or cross-sector nature;
(b) using complementary or alternative concepts / classifications and accounting frameworks, when needed to introduce additional dimensions in the accounts;
(c) extending coverage of costs and benefits of human activities;
(d) analysis of data by means of relevant indicators and aggregates; and
(e) linkage of physical data sources and analysis to the monetary accounting system."

SAFB has been establish by:
(a)Creating a “food” sector by combining economic activities of crop, livestock, livestock products, minor forest produce and agro-industries production,
(b) Establishing linkage between monetary data on expenditure on food with the physical data on quantity of food consumed & nutrient content of food.
The concepts, definitions or classifications used are consistent with the main international statistical systems and standards

The structure is based on the SNA’s Goods and
Services Account.
Supply = Food availability
= (commercial production + estimated own account production for self consumption + import + opening stocks) minus (exports + re-export + usage input for processed food + seed + feed + non-food usage + wastage + closing stocks)
Use = Apparent Consumption (Food)

Satellite Account for Food Balances
Integrated Account for Private
Non-financial Corporate Unit engaged
In crop, livestock, forest, fish & agro-industry
Production & Generation of Income account Household
Unit engaged in crop, livestock, forest, fish & agroindustry
Domestic output
Crop & Livestock
Fish
Forest
Agro - industry
Opening less closing
Food balances
Apparent Food Consumption in quantity and value terms
×
Non-food products
Food Products
Net Imports of food products
▬
Seed, feed, waste & Other items of intermediate consumption
Net availability of food products from domestic production and imports
Apparent consumption expressed in terms of
Calories, Protein & Fat as well as in terms of quantity of food consumed and expenditure incurred
Rate of Fat per unit of food output
Rate of Protein per unit of food output
Rate of Calories per unit of food output

Physical data on land, labor & input
Monetary data on production
& expenditure on food
Physical data on nutrient content of food
Data Bank to compile indicator system for use of policy making & plan formulation

Indicator System – Areas of interest

Data on production of food crops and livestock products
CORE
DATA
Quantity & value of export, reexport & import of food products

Compilation of SABF, like SNA, uses data from different sources.
For having reliable results, it is necessary to check their internal consistency and coverage. The task of data validation includes: a) Temporal and cross section checking of primary data b) Consistency at macro-level using SEAFA c) Consistency of quantity & value data of output & input of agro-industries, import, re-export and export data, d) Consistency of quantity and value of input with the quantity and value of output data for agro-industry at meso-level, e) Consistency of quantity with value data of individual items of food in the supply & use framework

Apart from compiling and analyzing economic accounts for agriculture, following approach is adopted to validate other data :
Check I: Compile unit value for each item and compare the same with the price data obtained from other sources
Check 2: Compare quantity and value of output of agroindustry with the quantity and value of input at
4-digit level to check internal consistency
Check 3: Compile S-U data for each item and review imputation/correction process to improve intra and inter sector consistency of the data

Worksheets to compile SEAFA and SAFB are divided in four broad groups:
Group 1: Workbooks containing base data on crop, livestock, fishery, forest and agro-industry and foreign trade data
Group 2: Worksheet containing structural data on classification of items of food, wastage rates, trade
& transport margins and content of food in terms of energy, protein and fat
Group 3: Worksheet presents final validated data on items on food originating from crop, livestock, fishery, agroindustry activities & foreign trade using SAFB codes
Group 4: Worksheet to compile the SAFB

• Contains basic data on quantity and value of output
& intermediate consumption as well as data on foreign trade
• Check 1 and 2 are applied to the basic data
• Value of output and intermediate consumption are at purchaser’s prices
• Quantities of exports and re-export are subtracted from quantities of production and import and balance is valued at purchaser’s prices
• Items are assigned ISIC-CPC and HS codes

• A SAFB has been created for all items of food for human consumption
• The list is based on the items of food in the
“Classification of Individual Consumption According to Purpose (COICOP)” and items included in the
FAO’s list of “nutrient content of items of food”
• The list covers about 1100 items
• The SAFB code classification has 9 main groups, 40 sub-groups and 321 items.
• Correspondence has been developed between SAFB codes with the ISIC_CPC & HS Codes and FAO list

• Worksheet uses SAFB codes aggregated at the second (sub-group) level of classification showing the
40 items
• Worksheet uses “sum if” function given in the excel sheet
• Includes final validated data on quantity and value
(purchaser’s prices) of items on food originating from crop, livestock, fishery, agro-industry activities as well as on items of imports, export & re-export
• Simple totals of each column is checked to verify that all the items have covered and there is no mistake in the coding scheme used

• This worksheet compiles the basic “supply and use” account taking basic data from the Group 3 worksheet and structural data on trade & transport margin, wastage, non-food use and nutrient content of food using simple arithmetic and “sum if” function
• The worksheet includes apparent consumption in quantity and value terms as well as in nutrient contents
• The data is generated for 40 items and inter-industry consistency is checked using SAU equation. If necessary imputation and correction are reviewed
• Final data are aggregated in 9 main group to present
SAFB

The SAFB data
(a) Are based on establishment approach in comparison to
FBS data which are based on individual items of food products providing additional possibilities for improving reliability
(b) Uses “Classification of Individual Consumption According to Purpose (COICOP)” and hence can be directly compared with the data on consumption expenditure of households, if available from independent survey,
(c) SAFB data are available in terms of quantity consumed, value of quantity consumed and in terms of nutrients.
This makes the data more useful for dynamic analysis.

From the SAFB data it is also feasible to have
• Clear views of import dependence for each category of food products
• Production efficiency of different classes of establishments (i.e. household, private corporate sector and public sector).
The SAFB data are likely to be more realistic as the system uses latest available inter-industry coefficients instead of fixed format of commodity tree as used by FBS.