Transcript Global Strategy to Improve Agricultural and Rural Statistics

CIS Region
Start-up meeting on
implementation of the Global
Strategy to Improve
Agricultural and Rural Statistics
Budapest 4-5 February 2015
Christophe DUHAMEL, Global Office FAO
Outline
• Reminder on the Global Strategy
• How far are we in the implementation?
• Progress on the research component
• Funding
Reminder on the Global
Strategy
How?
Addressing urgent needs
Sector Plans
(SPARS)
Country
assessments
Technical
Assistance
Training
incl. Assessment
Research: cost-effective methods; guidelines
How far in the
implementation?
Governance
• Global governance put in place and functioning
• Regional mechanisms functioning
• Action plan extended: 2012-2016 > 2012-2017
• Regional action plans:
– Africa and Asia-Pacific operational
– CIS to be endorsed by GSC
– LAC, Near East to be finalised
Implementation at
global level
• Coordination: improved with regional implementing partners
• New M&E framework, articulated with regions
• GS, umbrella for other TA initiatives
• Research component: >>
• Communication tools: e-bulletin, booklets, website
Implementation in the regions (1)
• Implementing partners:
• FAO regional office for TA, ESCAP/SIAP for Training (Asia)
• AfDB for TA, UNECA for Training (Africa)
• Regional Steering Committees
• chaired by Philippines and Sri Lanka (Asia)
• chaired by Ghana and Cabo Verde
• Regional Offices in place
Implementation in the regions (2)
• Country Assessments and In-Depth Country Assessments (IdCA)
• CA carried out in 2012-2013, used for selecting priority countries
• IdCA completed in 5 countries in Asia, 7 in Africa
• Support Strategic Plan for Agriculture and Rural Statistics (SPARS)
• “Light” SPARS (following IdCA) in Asia:
• Full SPARS in Africa
• Technical Assistance on new cost-effective methods
• to start following priorities identified through IdCA, SPARS evaluation
Implementation in the regions (3)
Implementation in the regions (4)
• Training activities
• Coordination Africa/Asia (needs assessment, curricula, syllabus, elearning material)
• Support to regional training centres
• Scholarships in Africa
• Training modules to be prepared
Which progress on
research?
OUTLINE
• Recall of goal of research programme
• Research activities for 2015
• Focus on Minimum Set of Core Data / AGRIS
Goal of Research programme
contribute to significant improvement in quality, reliability ,costeffectiveness of agricultural statistics in developing countries
through:
• developing cost-effective methods (new methodological and
technological developments)
• documenting, consolidating and disseminating good practices
• inputs for developing guidelines, handbooks and training materials
for TA and Training
Research activities
planned for 2015
NEW TO BE STARTED
OR CONTINUED FROM 2014
MODALITY OF
IMPLEMENTATION
Framework for Agricultural Statistics
Agricultural Integrated Survey
(AGRIS)
CONTINUED
Consultancy/GO Staff
Improving methodologies for master sampling frames
Field tests and software
package, validation meeting
CONTINUED
GO staff, Consultancy, regional
partners, pilot countries
Final Handbook on Master
Sampling Frame
CONTINUED
Core drafting expert group
NEW TO BE STARTED
OR CONTINUED FROM 2014
MODALITY OF
IMPLEMENTATION
Improving methods for estimating
post harvest losses
NEW
GO staff Consultancy,
subject FAO matter
experts, countries
New technology for field data
capture, compilation (CAPI)
CONTINUED
Agreement with WB/LSMS
Improving methods for
disseminating agricultural statistics
NEW
GO staff, Consultancy
Improving methods for estimating
livestock and livestock products
NEW
Letter of Agreement with
UNE, Australia
Improving data collection methods
NEW TO BE STARTED
OR CONTINUED FROM 2014
MODALITY OF
IMPLEMENTATION
Improving food security statistics methods
Improving methodology of Food
Balance Sheets
CONTINUED
Consultancy/FAO staff
Improving methods for measuring
food consumption
CONTINUED
Agreement with WB/LSMS
Improvement of estimation of crop
area, yield and production (pure
stand, mixed, repeated, cont.
cropping) + Horticultural Crops
NEW
Letter of Agreement with
IASRI, India
Developing methods for estimating
yields of root crops
CONTINUED
Improving methods for crops estimates
FAORAF/Horticultural crops
Agreement with WB/LSMS
NEW TO BE STARTED
OR CONTINUED FROM 2014
MODALITY OF
IMPLEMENTATION
Improving the methodology for using remote sensing
Cost-efficiency of remote sensing in
developing countries
NEW
Consultancy
Methods for using existing land
cover – land use data bases
CONTINUED
FAO Staff/Consultancy
Handbook on use of Remote
Sensing in Agricultural Statistics
(integration of methodological
research conducted incl Geog.
Information)
NEW
Expert Group
Improving quality and use of
administrative data
CONTINUED
Letter of Agreement with
Iowa State University
(USA) and Makerere
University (Uganda)
NEW TO BE STARTED
OR CONTINUED FROM 2014
MODALITY OF
IMPLEMENTATION
Indicators and collection methods for small-scale fisheries
Methodological developments for
small-scale fisheries
NEW
FAO staff/Consultancy
Forestry Statistics
NEW
FAO staff/Consultancy
Better integration of geographic information and statistics
Spatial disaggregation, integration
of geo. Info - geo-ref. survey data
CONTINUED
Consultancy
CONTINUED
GO Staff/Consultancy
Knowledge sharing strategy development
Developing a repository
Improving the methodology for data analysis
Farm typology
NEW
WAW/Consultancy
Reconciliation Census-Surveys data
NEW
FAORAF/Consultancy
Determination of user's needs for
decision-making
NEW
GO staff/Consultancy
Indicators, collection methods for
gender/youth-related data
NEW
FAO staff/Consultancy
Improving rural statistics
NEW
GO staff/Consultancy
Indicators and collection methods
agri-environment
NEW
FAO staff/Consultancy
OUTCOME OF RESEARCH ACTIVITIES IN 2015:
TECHNICAL REPORTS EXPECTED IN 2015
•
•
•
•
•
•
•
Technical Report on Improving methods for linking area frames with list
frames
Technical paper on Spatial disaggregation, integration of geo. Info - georef. survey data
Technical Report on Cost-efficiency of remote sensing in developing
countries
Technical Report on improved methods for estimating Crop Area, Yield and
Production of mixed, repeated, continuous crops
Technical Report on Improved Methods for Estimating Livestock and
Livestock Products
Technical Report on reconciliation of agricultural census and survey data
Technical Report on Determination of users data needs for decision making
OUTCOME OF RESEARCH ACTIVITIES IN 2015:
MAJOR GUIDELINES EXPECTED IN 2015
•
•
•
•
•
•
•
•
•
•
•
•
Handbook on Master Sampling Frame
Guidelines on Integrated survey framework
Guidelines on AGRIS (Agricultural-Rural Integrated Survey)
Handbook on SEAA-AFF
Handbook on Methods for estimating cost of production
Guidelines on improved methods for estimating Post-Harvest Losses
Handbook of best practices on nomadic livestock estimates
Guidelines for Compiling Food Balance Sheets
Guidelines on Improved Methods for Estimating Crop Area/Yield of root crops
Guidelines to improved methodology for using remote sensing
Guidelines on Fisheries and Aquaculture in Census Framework
Guidelines to improve quality and use of administrative data
Minimum Set of Core Data /
AGRIS
Reminder: Minimum Set of Core Data
What has been improved
•
Data structure and additional information
•
Planning the data collection of MSCD
•
Proposing a survey tool on Agricultural Holding sector: AGRIS
•
Ensuring linkages between MSCD-WCA 2020-AGRIS items
Reminder: MSCD
Objectives of the Global Strategy: enabling countries to produce and
disseminate on a regular basis a minimum set of reliable and comparable core
economic, social and environmental data , using cost-effective methods
The Minimum Set of Core Data = the first pillar of the Global Strategy to
improve Agricultural and Rural Statistics within the purpose of integrating the
Agricultural Statistics in the National Statistical System.
Provide basic items as inputs for: the national accounts and global balances of
supply demand for food and other agricultural products ; running of a
multitude of indicators needed to monitor and evaluate development policies,
food security and progress toward meeting the MDGs/SDGs
MSCD: What has been improved
•
Data structure and additional information
•
Planning the data collection of MSCD
•
Proposing a survey tool on Agricultural
Holding sector: AGRIS
•
Ensuring linkages between MSCD-WCA
2020-AGRIS items
Data Structure
Dimensions
Key variables and items
Economic
• Production of major national crops and Area Harvested*,
livestock, aquaculture, fisheries and forestry products
• Trade;
• Resources : land use*, stock of animal*, employment, machinery*,
• Main inputs: use of water*, fertilizers* and pesticides*; seed and
feed utilization
• Prices: producers’ and consumers’ prices;
• Agro-processing products: on food for self consumption, for sale or
for other uses
• Final expenditure : public sources, private credit and household
consumption,
• Rural infrastructure: irrigation and drainage equipment, storage,
rural roads and telecommunication
Social
• Urban and rural population, education level, employment status,
household composition and family workers on the holding by sex
and age
Environmental
• Agricultural management practices concerning Tillage, Soil
conservation and Agroforestry practices plus the resource items *
Reference Metadata for each variable
Additional
information
Description
Primary sources
• Agricultural Census and Population Census
• Surveys on Agriculture and specialized surveys such as
Household income/expenditure, Industry, etc.
• Administrative records
Target population, if
possible
• Agricultural Holdings : household and non-household sectors
• Household
Minimum frequency
of data collection
• Every 1 year for current data
• Every 2-5 year for structural data
Concepts, definitions
and classifications
International standards in line with the FAO World Census
Program
Data breakdown
Geographical coverage
Specific Category
Time
Local Administrative Units:
•LAU1 = Country level
•LAU2 = State or Region
•LAU2 = Province or District or
Village, etc.
•
•
Year
•
Crops by local variety
livestock products by
commodity
household by sex
Summary Table
Minimum set of core data
Group of
variables
Key variables
Economic
Output
Production
Area harvested
and planted
Yield
Births
Productivity
Trade
Stock
Core Data Items
Economically
active population
Animal Stocks
Units
Geographical
Coverage by
local
administrative
units
Observation
units for
surveys and
censuses
Production quantity of core crops (main crops)
Production quantity of core livestock products (meat, eggs, milk,
etc.)
Production quantity of fish capture (inland, marine)
annual
annual
a
a
Crop
Animal
tonnes
annual
a
Activity
tonnes
Production quantity of fish aquaculture (inland, marine/brackish
water)
Production quantity of core forest products (fuelwood, logs)
annual
a
Activity
tonnes
a
Product
Area harvested of core crops*
Area planted
Crop yield
annual
annual
annual
a
a
a
a
Crop
Crop
Crop
tonnes
ha
ha
Number of animals born*
annual
a
a
Animal
head
Average carcass weight
annual
a
Animal
kg/animal
LAU1
-
Yield per milking animal
annual
a
a
Animal
kg/animal
LAU1, LAU2,
LAU3
Household
Yield per laying animal
annual
a
a
Animal
Fisheries productivity
annual
a
Fish species
-
annual
a
LAU1
a
Commodity
-
annual
tonnes and
Local
Currency
tonnes
LAU1, LAU2,
LAU3
Agr. Holding (HH
& non-HH
sectors)
Category
ha
LAU1, LAU2,
LAU3
Sex and age
Number of
inhabitant
Imports quantity
Core crops, core livestock, core forestry, core fishery
and value
Exports quantity
Core crops, core livestock, core forestry, core fishery
and value
Quantity in storage Quantity of crops storage of core items
at beginning of
harvest season
Stock of
Land cover
Resources
Land use
National primary sources
Minimum
Level of
Adm.
Frequency of
Censuses
Surveys
item
Records
data
disaggregation
collection
Agriculture Population
Land cover (Cropland, Forest land, Grassland, Wetlands,
Settlements, Other Land)
Land Use (Arable land , Pemanant crops, Permanent pasture,
Irrigated area, etc.) and area for aquaculture by type of site
(Inland open water Coastal and marine waters)
Number of people in working age by age and sex
Number of Live Animals (stocks, slaughtered, milking and laying
animals)*
annual
a
annual
a
a
a
every 2-3 years
annual
tonnes
Household
LAU1 , LAU2,
LAU3
Agr. Holding (HH
& non-HH
sectors)
kg/ha
kg/animal
Crop
a
every 5 years
annual
a
Agr. Holding (HH
& non-HH
sectors)
a
a
a
-
Animal
head
LAU1, LAU2,
LAU3
Agr. Holding (HH
& non-HH
sectors)
Household
Agr. Holding (HH
& non-HH
sectors)
MSCD: What has been improved
•
Data structure and additional information
•
Planning the data collection of MSCD
•
Proposing a survey tool on Agricultural
Holding sector: AGRIS
•
Ensuring linkages between MSCD-WCA
2020-AGRIS items
How to plan the
data collection of MSCD
Determine the
national priorities
of core items
Other
(Admin.
Records)
Holding
(HH and nonHH sectors)
Identify
Statistical
Unit
10 years
Frequency
Annual or
Multiannual
Household
Agric.
Household
Surveys,
AGRIS
Yes
No
Annual or
Multiannual
Household
Surveys
10 years
Frequency
Population
Census
Agricultural
Census
MSCD: What has been improved
•
Data structure and additional information
•
Planning the data collection of MSCD
•
Proposing a survey tool on Agricultural
Holding sector: AGRIS
•
Ensuring linkages between MSCD-WCA
2020-AGRIS items
The Agricultural and Rural
Integrated Survey (AGRIS)
• A methodology for a standardized multipurpose and modular
survey on Agricultural Holding sectors, which aims at collecting
MSCD and other relevant agricultural and rural data on a
regular basis
• Using methods and tools developed under the Global Strategy
• Building on and strengthening existing survey activities going
on in countries
AGRIS Structure
Modular
Structure
Core Module: yearly data collection on current agricultural production
integrated with economic and socio-demographic statistics (the
periodicity varies according to the Country practice)
Rotating Module on Specific Topics data to collect every two, three
years or four years (sub-samples can also be used)
Statistical Units
Agricultural Holdings : household sector and non-household sector
Frames
For the non-Household sector the sampling basis could be the most
appropriate list frame among the agricultural census and
administrative registers
For the Household sector, either an area frame (segments or points)
or the Enumeration Areas derived from the Censuses (Agriculture or
Population), or administrative areas (municipalities…).
Sample design
Design fitted to the specific frame (use of MSF and ISF guidelines).
Data collection
process
Use of GS data collection methods, including GPS, CAPI, RS
AGRIS advantages as an integrated
survey framework approach
• Strengthening the country capacity in planning and coordinating the
national agricultural surveys program (ref: SPARS List Censuses-Surveys)
• Harmonizing sample frames in building a master sampling frame for all
modules
• Improving the data quality by harmonizing the main sources, with the
adoption of common international standards on concepts, definitions and
classifications (CPC, SEEA, HS, etc.) in line with the recommendations of
World Census Program 2020
• Better use of resources such as the reduction of cost and time for the
implementation and technical personnel training
What has been improved
•
Data structure and additional information
•
Planning the data collection of MSCD
•
Proposing a survey tool on Agricultural
Holding sector: AGRIS
•
Ensuring linkages between MSCD-WCA
2020-AGRIS items
Link between MSCD-WCA 2020-AGRIS items
Funding
Funding: the situation
Total budget: 84 M USD, Total committed: 41 M USD
Recently in negotiation with EU: 10 M USD for Africa
Global Trust Fund put in place and disbursements made to
regional implementing partners (UNECA, UNESCAP, AfDB, FAO)
Still 3 regions without funding from Trust Fund: LAC, Near
East, CIS - but support of the World Bank (CIS), IaDB (LAC)
> Mid-term conference + Donors meeting June 2015 Rome
Thank You
www.gsars.org
[email protected]