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    Land Measurement Bias: Comparisons from Global Positioning System, Self-Reports, and Satellite Data

    Dillon, Andrew; Rao, Lakshman Nagraj | March 2018
    Abstract
    Agricultural statistics derived from remote sensing data have been used primarily to compare land use information and changes over time. Nonclassical measurement error from farmer self-reports has been well documented in the survey design literature primarily in comparison to plots measured using Global Positioning System (GPS). In this paper, we investigate the reliability of remotely sensed satellite data on nonrandom measurement error and on agricultural relationships such as the inverse land size–productivity relationship and input demand functions. In our comparison of four Asian countries, we find significant differences between GPS and remotely sensed data only in Viet Nam, where plot sizes are small relative to the other countries. The magnitude of farmers’ self-reporting bias relative to GPS measures is nonlinear and varies across countries, with the largest magnitude of self reporting bias of 130% of a standard deviation (2.2-hectare bias) in the Lao People’s Democratic Republic relative to Viet Nam, which has 13.3% of a standard deviation (.008-hectare bias). In all countries except Viet Nam, the inverse land size–productivity relationship is upwardly biased for lower land area self-reported measures relative to GPS measures. In Viet Nam, the intensive margin of organic fertilizer use is negatively biased by self-reported measurement error by 30.4 percentage points. As remotely sensed data becomes publicly available, it may become a less expensive alternative to link to survey data than rely on GPS measurement.
    Citation
    Dillon, Andrew; Rao, Lakshman Nagraj. 2018. Land Measurement Bias: Comparisons from Global Positioning System, Self-Reports, and Satellite Data. © Asian Development Bank. http://hdl.handle.net/11540/8127. License: CC BY 3.0 IGO.
    ISSN
    2313-6537 (print)
    2313-6545 (electronic)
    Keywords
    Sustainable agriculture
    Commercial agriculture
    Agricultural And Rural Development
    Microenterprises Finance
    Commercial Finance Companies
    Enterprise Financing
    Financial Analysis
    Banking Finance And Investment
    Agribusiness
    Agroindustry
    Agricultural institutes
    Agricultural development
    Joint projects
    Business Financing
    Investment Requirements
    Insurance Companies
    International Monetary Relations
    International Financial Market
    Exchange Rate
    Food Supply
    Economic development
    New agricultural enterprises
    Cooperative agriculture
    Government policy
    Entrepreneurship
    Rural land use
    Land use
    Natural resource
    Water supply
    Mill
    Natural resource
    Water
    Irrigation systems
    Insurers
    Insurance stocks
    Insurance holding companies
    Insurance carriers
    Insurance agencies
    Business subsidies
    Investment companies
    International banks and banking
    Stock exchanges
    Agricultural diversification
    Agricultural resource
    Farm produce
    Rice farming
    Soil science
    Agricultural information network
    Agricultural landscape management
    Farm management
    Agricultural innovations
    Technological innovations
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    Citable URI
    http://hdl.handle.net/11540/8127
    Metadata
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    ewp-540-land-measurement-bias.pdf (937.5Kb)
    Author
    Dillon, Andrew
    Rao, Lakshman Nagraj
    Theme
    Agriculture
    Finance
     
    Copyright 2016-2021 Asian Development Bank Institute, except as explicitly marked otherwise
    Copyright 2016-2021 Asian Development Bank Institute, except as explicitly marked otherwise