Arbeitspapier
Improving paddy rice statistics using area sampling frame technique
Traditional sampling strategies for paddy rice statistics rely on outdated list frames, incomplete holding information, or administrative data that are prone to numerous biases. The objective of this study is to test the utility of an area frame developed using remote sensing data in three pilot provinces - Savannakhet (Lao People's Democratic Republic), Ang Thong (Thailand), and Thai Binh (Viet Nam). Direct estimates of total paddy rice area and production are calculated from area frame using two methods - one involving measurement of plot size using a Global Positioning System instrument and the other utilizing a digitized map of farmer-identified plot boundaries on a high-resolution Google Earth image. A third method involving the calculation of ratio estimates using independent mesh-level measures is compared with the first two methods involving direct estimates, and with the estimates generated from administrative data from the countries. Our study finds that ratio estimation significantly improves the level of precision of paddy rice statistics. Substantial deviations are also observed between official statistics and the statistics generated through direct estimation.
- Language
-
Englisch
- Bibliographic citation
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Series: ADB Economics Working Paper Series ; No. 565
- Classification
-
Wirtschaft
Survey Methods; Sampling Methods
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Agriculture: Other
- Subject
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agriculture
sampling methods
- Event
-
Geistige Schöpfung
- (who)
-
Durante, Anna Christine
Lapitan, Pamela
Megill, David
Rao, Lakshman Nagraj
- Event
-
Veröffentlichung
- (who)
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Asian Development Bank (ADB)
- (where)
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Manila
- (when)
-
2018
- DOI
-
doi:10.22617/WPS189643-2
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Durante, Anna Christine
- Lapitan, Pamela
- Megill, David
- Rao, Lakshman Nagraj
- Asian Development Bank (ADB)
Time of origin
- 2018
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