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Comprehensive Diagnosis and Improvement Plans on Agricultural Production Cost Survey Statistics  

Koo, Seung-Mo (Dept. of Agricultural Economics, Chungnam Nat'l University)
Kim, Sounghun (Dept. of Agricultural Economics, Chungnam Nat'l University)
Lee, Kay-O (Dept. of Business Statistics, Hannam University)
Sohn, Chang-Soo (Gallup Korea)
Han, Suk-Ho (Korea Rural Economic Institute)
Publication Information
Journal of agriculture & life science / v.45, no.6, 2011 , pp. 291-301 More about this Journal
Abstract
This study is based on the diagnosis process on agricultural production cost survey, which is one of the most representative public statistics of agricultural sector in Korea. The diagnosis were performed by employing the quantitative and qualitative approaches with the official guideline provided by the Ministry of Statistics. The various results were produced from the aspects of exactness, relevance, timeliness, accessibility, and comparability, which were based on the qualitative approaches including focus group interview (FGI) with professional users. The results from statistical portfolio analysis implies that the first priority to improve the statistics is given to 'satisfaction level corresponding to user cost' and 'offering sufficient explanation'. The comprehensive results, discussed with the administrative office, are summarized into the following two major points. First, classification of the detailed items should be improved to avoid users' confusion. However, the re-classification need to be professionally reviewed with the relevant administrative office such as Rural Development Administration, producing similar statistics. Second, the KOSIS system is found to be constantly upgraded to improve the users' convenience.
Keywords
Agricultural production cost survey; Diagnosis on statistics quality; Improvement of statistics quality;
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