IDEAS home Printed from https://ideas.repec.org/p/ris/adbewp/0565.html
   My bibliography  Save this paper

Improving Paddy Rice Statistics Using Area Sampling Frame Technique

Author

Listed:
  • Durante, Anna Christine

    (Asian Development Bank)

  • Lapitan, Pamela

    (Asian Development Bank)

  • Megill, David

    (Asian Development Bank)

  • Rao , Lakshman Nagraj

    (Asian Development Bank)

Abstract

Traditional sampling strategies for paddy rice statistics rely on outdated list frames, incomplete holding information, or administrative data that are prone to numerous biases.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.

Suggested Citation

  • Durante, Anna Christine & Lapitan, Pamela & Megill, David & Rao , Lakshman Nagraj, 2018. "Improving Paddy Rice Statistics Using Area Sampling Frame Technique," ADB Economics Working Paper Series 565, Asian Development Bank.
  • Handle: RePEc:ris:adbewp:0565
    as

    Download full text from publisher

    File URL: https://www.adb.org/sites/default/files/publication/468871/ewp-565-improving-paddy-rice-statistics.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kilic,Talip & Yacoubou Djima,Ismael & Carletto,Calogero & Kilic,Talip & Yacoubou Djima,Ismael & Carletto,Calogero, 2017. "Mission impossible? exploring the promise of multiple imputation for predicting missing GPS-based land area measures in household surveys," Policy Research Working Paper Series 8138, The World Bank.
    2. Kelly, Valerie A. & Hopkins, Jane & Reardon, Thomas & Crawford, Eric W., 1995. "Improving the Measurement and Analysis of African Agricultural Productivity: Promoting Complementarities between Micro and Macro Data," Food Security International Development Policy Syntheses 11375, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. Huddleston, Harold F., 1978. "Sampling Techniques for Measuring and Forecasting Crop Yields," Economics Statistics and Cooperative Services (ESCS) Reports 142840, United States Department of Agriculture, Economic Research Service.
    4. Carletto,Calogero & Deininger,Klaus W. & Muwonge, James & Savastano,Sara & Carletto,Calogero & Deininger,Klaus W. & Muwonge, James & Savastano,Sara, 2011. "Can diaries help improve agricultural production statistics ? Evidence from Uganda," Policy Research Working Paper Series 5717, The World Bank.
    5. Himelein Kristen & Eckman Stephanie & Murray Siobhan, 2014. "Sampling Nomads: A New Technique for Remote, Hard-to-Reach, and Mobile Populations," Journal of Official Statistics, Sciendo, vol. 30(2), pages 1-23, June.
    6. Griffin Richard A., 2014. "Potential Uses of Administrative Records for Triple System Modeling for Estimation of Census Coverage Error in 2020," Journal of Official Statistics, Sciendo, vol. 30(2), pages 1-13, June.
    7. Justin Sandefur and Amanda Glassman, 2014. "The Political Economy of Bad Data: Evidence from African Survey & Administrative Studies- Working Paper 373," Working Papers 373, Center for Global Development.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Holzapfel, Sarah & Janus, Heiner, 2015. "Improving education outcomes by linking payments to results: an assessment of disbursement-linked indicators in five results-based approaches," IDOS Discussion Papers 2/2015, German Institute of Development and Sustainability (IDOS).
    2. repec:ags:unassr:235073 is not listed on IDEAS
    3. Victoria Menil, 2015. "Missed Opportunities in Global Health: Identifying New Strategies to Improve Mental Health in LMICs," Working Papers id:7987, eSocialSciences.
    4. Barakat, Bilal, 2016. "“Sorry I forgot your birthday!”: Adjusting apparent school participation for survey timing when age is measured in whole years," International Journal of Educational Development, Elsevier, vol. 49(C), pages 300-313.
    5. Fermont, Anneke & Benson, Todd, 2011. "Estimating yield of food crops grown by smallholder farmers: A review in the Uganda context," IFPRI discussion papers 1097, International Food Policy Research Institute (IFPRI).
    6. Maredia, Mywish K. & Howard, Julie A. & Boughton, Duncan & Naseem, Anwar & Wanzala, Maria N. & Kajisa, Kei, 1999. "Increasing Seed System Efficiency in Africa: Concepts, Strategies and Issues," Food Security International Development Working Papers 54578, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    7. Gourlay, Sydney & Kilic, Talip & Lobell, David B., 2019. "A new spin on an old debate: Errors in farmer-reported production and their implications for inverse scale - Productivity relationship in Uganda," Journal of Development Economics, Elsevier, vol. 141(C).
    8. Abreu, Denise A. & Riberas, Zulma T., 2008. "General Overview of the NASS Objective Yield and Objective Measurement Programs," NASS Research Reports 235073, United States Department of Agriculture, National Agricultural Statistics Service.
    9. Sydney Gourlay & Talip Kilic, 2023. "Is dirt cheap? The economic costs of failing to meet soil health requirements on smallholder farms," Agricultural Economics, International Association of Agricultural Economists, vol. 54(6), pages 793-818, November.
    10. Mather, David & Donovan, Cynthia & Jayne, Thomas S. & Weber, Michael T. & Chapoto, Antony & Mazhangara, Edward & Mghenyi, Elliot W. & Bailey, Linda & Yoo, Kyeongwon & Yamano, Takashi, 2004. "A Cross-Country Analysis of Household Response to Adult Mortality in Rural Sub-Saharan Africa: Implications for HIV/AIDS Mitigation and Rural Development Policies," Food Security International Development Policy Syntheses 11322, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    11. Calogero Carletto & Dean Jolliffe & Raka Banerjee, 2015. "From Tragedy to Renaissance: Improving Agricultural Data for Better Policies," Journal of Development Studies, Taylor & Francis Journals, vol. 51(2), pages 133-148, February.
    12. Yao, Becatien H. & Shanoyan, Aleksan, 2018. "Could mobile money applications improve farm productivity? Insights from rural Mozambique," 2018 Annual Meeting, August 5-7, Washington, D.C. 274225, Agricultural and Applied Economics Association.
    13. Traub, Lulama Ndibongo & Jayne, Thomas S., 2004. "The Effects of Market Reform on Maize Marketing Margins in South Africa," Food Security International Development Working Papers 54570, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    14. Bachewe, Fantu Nisrane & Berhane, Guush & Minten, Bart & Taffesse, Alemayehu Seyoum, 2015. "Agricultural growth in Ethiopia (2004-2014): Evidence and drivers:," ESSP working papers 81, International Food Policy Research Institute (IFPRI).
    15. Arthi, Vellore & Beegle, Kathleen & De Weerdt, Joachim & Palacios-López, Amparo, 2018. "Not your average job: Measuring farm labor in Tanzania," Journal of Development Economics, Elsevier, vol. 130(C), pages 160-172.
    16. Carletto, Calogero & Savastano, Sara & Zezza, Alberto, 2013. "Fact or artifact: The impact of measurement errors on the farm size–productivity relationship," Journal of Development Economics, Elsevier, vol. 103(C), pages 254-261.
    17. Bowbrick, Peter, 2020. "Toxic famine research and how it suppresses its critics," MPRA Paper 101970, University Library of Munich, Germany.
    18. Bachewe, Fantu N. & Berhane, Guush & Minten, Bart & Taffesse, Alemayehu S., 2018. "Agricultural Transformation in Africa? Assessing the Evidence in Ethiopia," World Development, Elsevier, vol. 105(C), pages 286-298.
    19. Ayala Wineman & C. Leigh Anderson & Travis W. Reynolds & Pierre Biscaye, 2019. "Methods of crop yield measurement on multi-cropped plots: Examples from Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1257-1273, December.
    20. Calogero Carletto, 2021. "Better data, higher impact: improving agricultural data systems for societal change [Correlated non-classical measurement errors, ‘second best’ policy inference, and the inverse size-productivity r," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 719-740.
    21. Serajuddin,Umar & Uematsu,Hiroki & Wieser,Christina & Yoshida,Nobuo & Dabalen,Andrew L., 2015. "Data deprivation : another deprivation to end," Policy Research Working Paper Series 7252, The World Bank.

    More about this item

    Keywords

    agriculture; sampling methods;

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:adbewp:0565. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Orlee Velarde (email available below). General contact details of provider: https://edirc.repec.org/data/eradbph.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.