LIVESTOCK PRODUCTION AND PRODUCTIVITY

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INTRODUCTION DAY 1 AGRIS – Agricultural Integrated Survey
Presentation transcript:

LIVESTOCK PRODUCTION AND PRODUCTIVITY Session 4: Field work organization, Cost and Integrated survey

Objectives of the presentation Discuss the most efficient way to organize the field work Present the different elements that should take into account when preparing budgets Discuss the goal of agriculture integrated surveys for better use of resources

Outline 1) Field work organization 2) Cost of livestock surveys 3) Agriculture integrated surveys

Field work organization 1 Field work organization

1. Field work organization Training of data collection staff For the most part, training activities can be expected to be carried out in locations where the trainees live, but time constraints or other considerations may require centralised training to which trainees must travel Very important to consider during the training: the purpose of data collection the nature of its application and form of its output the nature of the variables for which data is being collected the means by which information is to be obtained

1. Field work organization Training of data collection staff Training content must also include: Sensitivity to language, education level and culture of respondents, and the specification of strategies to accommodate these An understanding of the logistics of the data collection activity and the daily demands of work Specification and development of skills for roles in, and interfaces with, quality control procedures and assessments Specification and development of skills for roles in, and interfaces with, data entry and data cleaning.

Cost of livestock surveys 2 Cost of livestock surveys

2. Cost of livestock surveys Costs of data collection depend on physical and financial quantities Physical quantities relate to numbers of survey staff (primarily enumerators), the ways in which field work is supervised, and the delivery of training to the enumerators and supervisors. These numbers in turn depend on: the sampling and survey strategies employed the physical distances between survey accommodation and the data collection points the intensity of survey activities (primarily their number, duration and nature)

2. Cost of livestock surveys It is suggested that costs per interview, per year or per enumerator are useful for ex post analysis of large scale programmes, but not relevant for ex ante design of data collection It should be noted that the duration of the data collection also depends on the basic assumptions about requirements and capacities

2. Cost of livestock surveys Basic assumptions for cost calculations

2. Cost of livestock surveys Data collection costs per survey day: from the field test conducted (350 households, team of 6 enumerators and 7 questionnaires per day

2. Cost of livestock surveys Opportunities for reducing data collection costs: Use of local enumerators Reduced length of overall data collection activities, and other planning so as to avoid staff accommodation and food expenses during down time (e.g. on weekends and public holidays) Use of alternative technologies Reductions in sample size Changed structure and spatial arrangement of samples so as to minimize transport and other logistic costs and save enumerator time Changes to questions and questionnaires so as to generate more data per unit of survey staff time Changes to nature of enumerator activities so as to reduce training and supervision costs Use of existing data (such as sales figures held by buyers, or accounts of animal numbers held by animal health authorities) Use of farmers as enumerators

Agriculture integrated surveys 3 Agriculture integrated surveys

3. Agriculture integrated survey In many countries, agricultural surveys are conducted on an ad- hoc basis without an overall statistical programme or strategy or links to a master sampling frame difficult to integrate data from various surveys for further analysis In the absence of structural data for the entire agricultural sector that provides the basis for analysing the characteristics of farms the division of the production of crop and livestock data leaves no opportunity to compare and measure the impact of an action within or between agricultural sub-sectors

3. Agriculture integrated survey The Global Strategy to Improve Rural and Agricultural Statistics suggests that an integrated statistical system can resolve many of these problems by reducing the duplication of effort, preventing the release of conflicting statistics, and ensuring the best use of resources Methods, concepts, and classifications can be standardized and allow for more systematic data collection across sources Discuss in this part the definitions of agricultural holding sused by the different departments, definitions of commercial and non-commercial farms etc.

3. Agriculture integrated survey This integration will be accomplished by the development of a master sampling frame for agriculture including livestock its use within a coordinated data collection program to produce timely and accurate data a strategy for effective data dissemination that ensures accessibility

3. Agriculture integrated survey Example of AGRIS   Years 1 2 3 4 5 6 7 8 9 10 Core Module Agricultural holding (AH) Roster  Crop + livestock production Other key variables Rot. Module 1 Economy Rot. Module 2 Labour Rot. Module 3 Production Methods and the Environment Rot. Module 4 Machinery, Equipment and Assets Explain AGRIS with few words

Reference Upcoming Publication (2018) Global Strategy to improve Agricultural and rural Statistics (2018). Guidelines on methods for Estimating Livestock Production and Productivity Available online : http://gsars.org/

Thank You