1,982 total views, no views today
Paddy is one of the most important cereal crops in Bhutan. Hence reliable statistics on its annual production and its trend over the years is important for informed decision making, from food security view point.
Paddy production is commonly estimated from survey interview of farmers relying on their recall accuracy. However, recall is often wrought with high-non sampling error, particularly if the survey is conducted many months after the harvest. In such circumstances, it may be wise to compute production as a function of harvested area multiplied by yield. Harvested area is much easier to remember by farmers or it can even be measured anytime by the enumerator. With regard to yield estimation, here is where the usefulness of crop-cut experiments come in.
The MoAF is thus very pleased to come out with the manual titled ‘Paddy Yield Estimation in Bhutan’ for use in the field. This manual comprehensively describes the probability sampling procedures required to be followed thus allowing us to make good estimates with measure of sampling error for every paddy growing Dzongkhag.
The manual has been developed in close consultation with the agriculture sectors and with support from FAO.
To download the soft copy of the manual, please click here.
563 total views, no views today
The Strategic Plan for Renewable Natural Resources Statistics (SPRNRS) has been developed in compliance to the roadmap, preceded by an In-depth Country Assessment of the National System for RNR Statistics in Bhutan (IdCA). The IdCA identified that the existing RNR statistical system is characterized by gaps in information quality, inconsistency in data, inadequate availability and accessibility to users and inadequate human and technological capacity to meet user requirements. Therefore, the purpose of this strategy plan is to provide a framework and methodology that will enhance the quality and availability of RNR statistics to guide policy analysis and informed decision making.
The implementation of SP-RNRS is expected to bring about transformational change of the current state of RNR statistics – characterized by gaps in information quality – to a system that meets the requirement of relevant users, producing statistics of good quality and coverage being managed by appropriate professionals with good statistical capacity through application of modern technological tools. The SPRNRS is approved and endorsed by the RNR-GNHC in June 2018, the highest decision-making body in the MoAF.
520 total views, no views today
The Ministry of Agriculture and Forests releases the RNR Statistical Framework 2018 (RSF 2018), which shall be the guiding document for all statistical activities within the domain of RNR Sector. The need for reliable, timely and credible RNR data is ever increasing, because more than 60 percent of the Bhutanese population depend on RNR sector for their livelihood. In view of the predominant position of the RNR sector, the collection, analysis, validation, dissemination and storage of RNR statistics assume great importance. Therefore, right information, in the right form, at the right time is needed to make informed decisions and policy formulation.
The main objective of the RNR Statistical Framework is to generate reliable, quality and timely RNR statistics for evidence-based decision-making by streamlining statistical mandates, strengthening coordination mechanisms and promoting use of appropriate methodologies. The RSF 2018 is published by the RNR Statistics Division (RSD) of MoAF after being reviewed by RNR Statistics Technical Working Group (RS-TWG). Finally, the RSF 2018 is approved and endorsed for implementation by the RNR-GNHC, the apex decision-making body in the MoAF.
789 total views, no views today
337 total views, no views today