Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Workshop on Strategic Planning for Agricultural and Rural Statistics Session 1 ADB Activities in Support of the Global Strategy to Improve Agricultural and Rural Statistics Dalisay S. Maligalig 17 March 2015 Outline of Presentation • Improving Agricultural and Rural Statistics for Food Security - Intended Impact and Expected Outcome, Key Outputs, Arrangements, Completed Activities, Ongoing Research Activities • Innovative Data Collection Methods for Agricultural and Rural Statistics - Intended Impact and Expected Outcome, Key Outputs, Implementation Arrangements, Completed Activities • Remaining Activities Improving Agricultural and Rural Statistics for Food Security • Intended impact: Increase in the use of agricultural and rural statistics in policy making for food security • Expected outcome: Increase in agricultural and rural statistics that are of better quality and that are collected regularly Improving Agricultural and Rural Statistics for Food Security Outputs • The regional action plan for improving agriculture and rural statistics (in collaboration with FAO RAP, ESCAP and countries in the region); • Four methodological studies; • Trained national statistical systems staff to support the development of their own action plans. Improving Agricultural and Rural Statistics for Food Security Implementation Arrangements • Implementation period: December 2011 - June 2015 • Close collaboration with SGAS, ESCAP and FAO. • Countries covered: Bhutan, Lao PDR, Maldives, Philippines, and Viet Nam • Instrument for collaborating with countries: Letter of Agreement • Approach: Country driven, consultative; through government hierarchy and existing institutions and organizations; ADB provided technical advice and funding support when requested Improving Agricultural and Rural Statistics for Food Security What has been done so far? • Supported the development of the Regional Action Plan • Country Action Plans – developed from inputs gathered from stakeholders’ workshop and high level meetings – drafts completed for Bhutan, Lao PDR, Viet Nam and Maldives – Stakeholders identified methodological research studies that can be done – Lao PDR Action Plan endorsed by the Government – workshop materials are in the Community for Agricultural and Rural Statistics (CARS) website http://cars.adb.org • Training courses and workshops - offer specific training programs to upgrade the skill level of those involved in the production of agricultural statistics so that specific methodological research can be undertaken Improving Agricultural and Rural Statistics for Food Security Lao PDR Training Programs Undertaken • Basic Course on Statistics – 20 September 2013 – basic statistical concepts and definitions • A Short Course on Understanding National Accounts – 10-14 March 2014 – data sources and indicators used in estimating the GDP share of agriculture; uses of GDP for policy analysis and resource allocation • A Short Course on Sample Survey Concepts and Analysis – 24-28 March 2014 – follow up course; sample survey concepts, design and operations • Training on Improving the Data Collection System for Agricultural Statistics – 11-13 August 2014 – uses of agricultural statistics, existing data sources , inconsistencies identified from surveys, censuses and administrative reporting system (ARS) ; supplemental agricultural data collection system to support ARS Improving Agricultural and Rural Statistics for Food Security Training Programs Undertaken Viet Nam • A Short Course on Sample Survey Design - 10-14 February 2014 basic sample survey techniques applicable for crops and livestock production surveys • An Intermediate Course on Probability Sample Survey - 3-7 March 2014 deriving survey weights, design effects and computation of sampling errors • Designing Survey Instruments and Planning Survey Operations - 13-16 October 2014 planning a probability sample survey, questionnaire design, survey operations plan • Workshop on Questionnaire Design and on Survey Operations Planning and Budgeting - 5-9 January 2015 basic principles of questionnaire design, formulation of survey objectives, approaches in planning a probability sample survey, estimation of cost, resources and time requirements Improving Agricultural and Rural Statistics for Food Security Training Programs Undertaken Philippines • Training on the use of GPS mobile mapper for area estimation - 6 June 2013 basic principles, grid vs ground measurements, reference frames, best practices for collecting data in the field • Training on the use of Agricultural Land Information System (ALIS) Software – 21-23 August 2013 – random selection of sample meshes, deriving estimates of areas planted to major crops, procedures for field verification Bhutan • Workshop on Data Documentation and Archiving – 1-5 September 2014 – held in collaboration with the Partnership in Statistics for Development in the 21st Century (PARIS21) – use of the International Household Survey Network (IHSN) Microdata Management Toolkit, international standards and tools for microdata documentation and archiving, technical issues relating to microdata dissemination Improving Agricultural and Rural Statistics for Food Security Methodological Studies • Bhutan Living Standard Survey 2003, 2007 and 2012: A Comparative Analysis of Rural and Urban Households • Examining the Available Data Sources for Agriculture Statistics in Bhutan • Examining the Existing Agriculture Data Sources in Lao PDR • Improving Agricultural Data Collection Systems in Lao PDR • Adoption of Agricultural Land Information System (ALIS) for Agricultural Area Estimation in the Philippines • Improving the Design of Livestock Production Probability Surveys in Viet Nam Innovative Data Collection Methods for Agricultural and Rural Statistics • Intended impact: More evidence-based policies and programs on food security • Expected outcome: Improved quality and timeliness of rice crop area and production estimates and forecasts Innovative Data Collection Methods for Agricultural and Rural Statistics Outputs 1. Customized software applications on analyzing satellite imagery and similar tools provided to pilot countries. 2. Selected staff in pilot countries are able to use output 1 as inputs into rice crop estimation and forecasting methods. 3. Online training program on the use of satellite imagery and similar tools for agricultural and rural statistics provided for open access. Innovative Data Collection Methods for Agricultural and Rural Statistics Implementation Arrangements • Source of funds: Japan Fund for Poverty Reduction • Implementation period: June 2013 – July 2016 • Countries covered: Lao PDR, Philippines, Thailand and Viet Nam • Technical Adviser: Japan Aerospace Exploration Agency (JAXA) and possibly the International Rice Research Institute • Consulting firm: Remote Sensing and Technology Center of Japan in joint venture with Asian Institute of Technology Innovative Data Collection Methods for Agricultural and Rural Statistics General Approach • INternational Asian Harvest MOnitoring System for Rice (INAHOR) software that was developed by JAXA will be modified for statisticians. • Both optical and radar satellite imagery will be used. • A series of four training programs will be undertaken to teach implementing agencies staff on the use of the modified INAHOR. Innovative Data Collection Methods for Agricultural and Rural Statistics What has been done so far? (1) • Pre-inception meeting with technical adviser and representatives from implementing agencies • Inception workshop in each pilot country – Lao PDR, Philippines, Thailand, and Viet Nam • Training on basic remote sensing concepts and use of the International Asian Harvest Monitoring System for Rice (INAHOR) software with archived data. • Business requirements for modifying INAHOR were determined in consultation with implementing agencies, JAXA and the ADB project team. Innovative Data Collection Methods for Agricultural and Rural Statistics What has been done so far? (2) • Technical solutions to the final business requirements have been proposed by RESTEC . • First phase of the INAHOR modification • Field visits in Lao PDR, Philippines and Viet Nam pilot areas • Training on the use of Khon Kaen University (KKU) Rice Crop Model in Thailand • Training on QGIS and the Modified INAHOR Software Remaining Activities (1) • Completion and publication of technical papers on methodological research under RPATA 8029 by June 2015 • Phased Software Development, Training and Field Validation for remote sensing application for agricultural statistics, until mid 2016 • Mid-project assessment for the remote sensing research project – November 2015 Remaining Activities (2) • Field survey in Lao PDR, Philippines, Thailand and Viet Nam at the start of wet cropping season of 2015 • Crop cutting exercises in Lao PDR, Philippines, Thailand and Viet Nam during harvest season of 2015 • On-line training program for remote sensing application in agricultural statistics by end 2015 • Regional conference June 2016 For More Information: [email protected] http://cars.adb.org (Community for Agricultural and Rural Statistics)