Amalia, Ratna Rizki and Kadir, Kadir (2019): Improving Paddy Statistics in Indonesia: Developing Crop Cutting Survey Using Area Sampling Frame.
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Abstract
Although the official figure of production data that was fully based on objective measurements was successfully released in 2018 for the first time, the productivity data is still obtained through a crop-cutting survey that is conducted based on a list frame (households) instead of an area frame. The use of a list frame has several limitations such as a high non-response rate that affects the accuracy of estimation. In other words, the crop-cutting survey also is going to make use of an area frame instead of a list frame. By doing so, there is no need to conduct a household listing for the sampling frame, which is time-consuming and costly. Therefore, the implementation of the crop-cutting survey will become more efficient and faster than before. The aim of this paper is to give an explanation about the technicalities that are going to be implemented regarding the integration. The defence would be focused on the methodology that is going to be applied and the business process of the data collection.
Item Type: | MPRA Paper |
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Original Title: | Improving Paddy Statistics in Indonesia: Developing Crop Cutting Survey Using Area Sampling Frame |
English Title: | Improving Paddy Statistics in Indonesia: Developing Crop Cutting Survey Using Area Sampling Frame |
Language: | English |
Keywords: | productivity, area sampling frame, crop cutting survey, list frame |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C83 - Survey Methods ; Sampling Methods Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q16 - R&D ; Agricultural Technology ; Biofuels ; Agricultural Extension Services Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q19 - Other |
Item ID: | 119487 |
Depositing User: | Kadir Kadir |
Date Deposited: | 02 Jan 2024 13:15 |
Last Modified: | 02 Jan 2024 13:15 |
References: | BPS-Statistics Indonesia. (2018). Pedoman Teknis Pendataan Statistik Pertanian Tanaman Pangan Terintegrasi dengan Metode Kerangka Sampel Area (KSA) 2018. Jakarta: Badan Pusat Statistik. Davies, C. (2009). Area Frame Design for Agricultural Surveys. Washington DC, USA: USDA, 2009. Willet, J.W. (1981). Area Sampling Frames For Agriculture in Developing Countries. The US Department of Agriculture. Muchlis. (2018). Area Sampling Frame: A New Approach to Reform Agricultural Data Collection. Asia–Pacific Economic Statistics Week. Mubekti and Sumargana, L. (2016). Pendekatan Kerangka Sampel Area Untuk Estimasi dan Peramalan Produksi Padi. Pangan, vol. 25, pp. 71-82. Rosner, L. Peter and McCulloch, Neil. (2008). A Note on Rice Production, Consumption and Import Data In Indonesia. Bulletin of Indonesian Economic Studies, vol. 44, No. 1, pp. 81-91, 2008. Wigton, W.H. and Bormann, P. (1978). A Guide to Area Sampling Frame Construction Utilizing Satellite Imagery. 2nd Int’l Training Course in Remote Sensing Applications for Agriculture: Crop Statistics and Agricultural Census. UN Outer Space Affairs Division,. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/119487 |