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http://dx.doi.org/10.5762/KAIS.2017.18.9.411

A Review on the Sampling Design for Energy Consumption Survey in Agricultural Sector  

Kim, Yean-Jung (Korea Rural Economic Institute)
Kim, Bae-Sung (Dept. of Applied Economics in JeJu National University, Sustainable Agriculture Research Institute, Research Institute for Subtropical Agriculture and Animal Biotechnology)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.9, 2017 , pp. 411-417 More about this Journal
Abstract
It is necessary to determine the current and future energy consumption by farm households for the rational specification of energy related policy in the Korean agricultural sector. Especially, It is important to identify the consumption by source of energy and by the crops. On the other hand, the world has tried to reduce the production of greenhouse gases and, in line with this, the Korean government established related legislations to contribute to this reduction (30% reduction in emissionsby 2020). The reduction target of the agricultural sector is specified as 5.2% of the national total. This study focuses on sampling design to determine the energy consumption and emission of greenhouse gases, and suggests several alternatives to improve the confidence level and to make a dent survey and estimation errors. The population for the energy consumption survey of the agricultural sector was derived from agricultural census data. In the case of commodities with high skewness, we cut the sample range to within the statistical significant range. The number of samples in each class is specified using the Neyman allocation method and 95% significance level. The estimation results are compared with the population to verify the statistical significance and several management methods of sampling errors are suggested.
Keywords
agricultural sector; confidence level; energy consumption; greenhouse; sampling design; survey and estimation errors;
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