Methodological developments for improving agricultural statistics for different typologies of countries

The need to reduce costs for producing accurate statistics forces countries to increase the efficiency of their statistical systems, exploring innovative approaches for sampling frame construction, sample design and estimation. Several countries are using more extensively low cost information for improving the accuracy of estimates, such as administrative data (Carfagna and Carfagna 2010 and Carfagna et al. 2013) and georeferenced information. The levels of statistical capacity, farm size, farmers literacy, availability and quality of administrative data are crucial for the identification of most appropriate approaches for the different typologies of countries. In this paper, we focus on advantages, disadvantages and requirements of some methodological developments, taking into consideration different typologies of countries, and devoting particular attention to the use of georeferenced information.