The Research programme of the Action Plan to Implement the Global Strategy includes a large number of activities to develop cost-effective methods for producing reliable and timely agricultural statistics. The results of these research activities are to be used as a basis to develop guidelines that will be adopted and used by countries, consultants and training institutions.
These Guidelines on Farm Typology propose a tool to be used to classify agricultural holdings by multiple dimensions, aiming at enhancing comprehension of
the farm structures and production diversity both between and within countries, and at more efficient targeting in agricultural and rural policies and investments.
The overall goal of AGRIS training is to provide enumerators with the skills and knowledge necessary to successfully collect high quality AGRIS data.
The report presents the actual implementing strategy, the results of the technical assistance activities in beneficiary countries and the main lessons learned from the overall process of the Accelerated technical assistance Plan implemented under the responsibility of the Global Office in Africa.
The Report introduces and discusses the problem of measuring area and yield of vegetable crops, by exploring and testing methods such as farmer inquiry and objectives measurement and to propose a methodology for the production of data and statistics. A pilot test has been performed in two selected districts in Ghana to assess the methodology and the workability of the methods.
This technical report is the result of a study conducted in close collaboration with the General Statistical Office of Vietnam (GSO), the Ministry of Agriculture and Rural Development of Vietnam (MARD), TE-FOOD and the Australian Commonwealth Research Centre (CSIRO-Data 61). The objectives were to contribute to a better understanding of the applications of blockchain technology and its implications for the official statisticians in the livestock sector, to analyse the feasibility and the sustainability of using information available on the blockchain from an official statistical perspective, on the basis of the systems put in place by TE-FOOD in the pig sector in Vietnam and to make recommendations, discuss possible improvements and propose a further research agenda.
This Handbook aims to serve as a guide for statisticians from National Statistical Services seeking to improve their data collection methods to produce crop statistics, and to become the new reference document for estimating crop area, yield and production.
This technical report on Agricultural Master Sampling Frames: Lessons learned from international field experiments and case studies compiles results from a series of experiments carried out by the Global Strategy to improve Agricultural and Rural Statistics (GSARS) in 2016 and 2017, in Brazil, Nepal and Rwanda.
The Second Global Action Plan to implement the Global Strategy to improve Agricultural and Rural Statistics aims to strengthen and modernize countries’ agricultural statistical systems developing modern and sustainable agricultural statistics systems to boost data production for 21st century policy and user need.
The Second Global Action Plan focuses on four technical arenas and outputs that relate to the main aspects of the process and cycle of statistical production and use in support of food security and sustainable development policies and one arena related to the more effective implementation of the plan.
The First Phase of the Global Strategy has been completed in December 2018.
These Guidelines seek to measure dimensions of labour force performance and job quality that are not well captured in the Decent Work framework. More specifically, the Guidelines propose Decent Work indicators that focus on youth (ages 15–24 years) within developing countries where the majority of households depend on agriculture for their well-being and a large share of the population lives in poverty,
The present document presents two case-studies, to illustrate the process of compilation of productivity indicators: i) the calculation of labour productivity based on data collected at farm-level, that is based on a pilot survey in Zambia, and ii) the construction of aggregate and country-level information on agricultural productivity from aggregate time-series.