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A respondent‐driven method for mapping small agricultural plots using tablets and high resolution imagery

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  • Yuta J. Masuda
  • Jonathan R.B. Fisher
  • Wei Zhang
  • Carolina Castilla
  • Timothy M. Boucher
  • Genowefa Blundo‐Canto

Abstract

Agricultural statistics on small farms are critical for informing sustainable development policies, but often suffer from selection bias and are time consuming and costly to collect. Less burdensome and reliable methods are needed. We report on a scalable method using a respondent's knowledge about their land, high resolution imagery, and tablet devices to draw spatially explicit plot boundaries. We find the method may work best with respondents that own their plots are farmers, and for smaller plots (

Suggested Citation

  • Yuta J. Masuda & Jonathan R.B. Fisher & Wei Zhang & Carolina Castilla & Timothy M. Boucher & Genowefa Blundo‐Canto, 2020. "A respondent‐driven method for mapping small agricultural plots using tablets and high resolution imagery," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 727-748, July.
    • Handle: RePEc:wly:jintdv:v:32:y:2020:i:5:p:727-748
    DOI: 10.1002/jid.3475
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    1. 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.
    2. Barrett, Christopher B. & Bellemare, Marc F. & Hou, Janet Y., 2010. "Reconsidering Conventional Explanations of the Inverse Productivity-Size Relationship," World Development, Elsevier, vol. 38(1), pages 88-97, January.
    3. Deininger, Klaus & Squire, Lyn, 1998. "New ways of looking at old issues: inequality and growth," Journal of Development Economics, Elsevier, vol. 57(2), pages 259-287.
    4. Kilic, Talip & Zezza, Alberto & Carletto, Calogero & Savastano, Sara, 2017. "Missing(ness) in Action: Selectivity Bias in GPS-Based Land Area Measurements," World Development, Elsevier, vol. 92(C), pages 143-157.
    5. Karen Macours, 2011. "Increasing inequality and civil conflict in Nepal," Oxford Economic Papers, Oxford University Press, vol. 63(1), pages 1-26, January.
    6. 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.
    7. 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.
    8. Baten, Joerg & Juif, Dácil, 2014. "A story of large landowners and math skills: Inequality and human capital formation in long-run development, 1820–2000," Journal of Comparative Economics, Elsevier, vol. 42(2), pages 375-401.
    9. Carbonell, Isabelle M., 2016. "The ethics of big data in big agriculture," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 5(1), pages 1-13.
    10. Lamb, Russell L., 2003. "Inverse productivity: land quality, labor markets, and measurement error," Journal of Development Economics, Elsevier, vol. 71(1), pages 71-95, June.
    11. Dave Donaldson & Adam Storeygard, 2016. "The View from Above: Applications of Satellite Data in Economics," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 171-198, Fall.
    12. Andre, Catherine & Platteau, Jean-Philippe, 1998. "Land relations under unbearable stress: Rwanda caught in the Malthusian trap," Journal of Economic Behavior & Organization, Elsevier, vol. 34(1), pages 1-47, January.
    13. Calogero Carletto & Sydney Gourlay & Paul Winters, 2015. "Editor's choice From Guesstimates to GPStimates: Land Area Measurement and Implications for Agricultural Analysis," Journal of African Economies, Centre for the Study of African Economies, vol. 24(5), pages 593-628.
    14. Bhalla, Surjit S & Roy, Prannoy L, 1988. "Mis-specification in Farm Productivity Analysis: The Role of Land Quality," Oxford Economic Papers, Oxford University Press, vol. 40(1), pages 55-73, March.
    15. De Groote, Hugo & Traore, Oumar, 2005. "The cost of accuracy in crop area estimation," Agricultural Systems, Elsevier, vol. 84(1), pages 21-38, April.
    16. Benjamin, Dwayne, 1995. "Can unobserved land quality explain the inverse productivity relationship?," Journal of Development Economics, Elsevier, vol. 46(1), pages 51-84, February.
    17. Daniel Ayalew Ali & Klaus Deininger, 2015. "Is There a Farm Size–Productivity Relationship in African Agriculture? Evidence from Rwanda," Land Economics, University of Wisconsin Press, vol. 91(2), pages 317-343.
    18. Lowder, Sarah K. & Skoet, Jakob & Raney, Terri, 2016. "The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide," World Development, Elsevier, vol. 87(C), pages 16-29.
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    1. Masuda, Yuta J. & Waterfield, Gina & Castilla, Carolina & Kang, Shiteng & Zhang, Wei, 2022. "Does balancing gender composition lead to more prosocial outcomes? Experimental evidence of equality in public goods and extraction games from rural Kenya," World Development, Elsevier, vol. 156(C).

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