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Evaluation of Nigerian agricultural production data

Author

Listed:
  • Hatzenbuehler, Patrick L.
  • Abbott, Philip C.
  • Abdoulaye, Tahirou

Abstract

The absence of an agricultural census in Nigeria means that samples for surveys to estimate agricultural production are obtained from a non-comprehensive, non-representative set of farms. Therefore, aggregate production data quality is questioned. The methods employed herein provide a new way to empirically evaluate the quality of agricultural production estimates. Two objective types of data, namely the normalised difference vegetation index (NDVI), a satellite remote-sensing measure of intertemporal vegetation changes, and prices, which reveal supply-use dynamics, are used to analyse the degree to which agricultural production estimates reflect adjustments in growing/ market conditions. Broadly weak relationships were found between the production estimates and these objective measures, but with variations in degree across states. In addition, these two objective measures are more strongly related to each other than either is to production data. The results imply that the inclusion of NDVI and prices in agricultural production estimation models would improve the quality of the Nigerian production estimate.

Suggested Citation

  • Hatzenbuehler, Patrick L. & Abbott, Philip C. & Abdoulaye, Tahirou, 2017. "Evaluation of Nigerian agricultural production data," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(2), June.
    • Handle: RePEc:ags:afjare:258606
    DOI: 10.22004/ag.econ.258606
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    References listed on IDEAS

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    1. Margaret McMillan, 2016. "Understanding African Poverty over the Longue Durée: A Review of Africa's Development in Historical Perspective," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 893-905, September.
    2. Paulino, Leonardo A. & Tseng, Shen Sheng, 1980. "A comparative study of FAO and USDA data on production, area, and trade of major food staples:," Research reports 19, International Food Policy Research Institute (IFPRI).
    3. Martin Ravallion, 1986. "Testing Market Integration," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(1), pages 102-109.
    4. Patrick L. Hatzenbuehler & Philip C. Abbott & Tahirou Abdoulaye, 2017. "Price Transmission in Nigerian Food Security Crop Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 143-163, February.
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    Cited by:

    1. Porteous, Obie, 2022. "Reverse Dutch disease with trade costs: Prospects for agriculture in Africa's oil-rich economies," Journal of International Economics, Elsevier, vol. 138(C).
    2. Patrick L. Hatzenbuehler & George Mavrotas, 2021. "Combining household and price data to target food marketing interventions in Nigeria," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 493-505, April.

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