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Determinants of Households’ Land Allocation for Crop Production in Uganda

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  • Francis M. Mwaura
  • Annet Adong

Abstract

Using UNHS 2005/6 and 2009/10 data, we examined various cropping and land allocations patterns practiced by farming households in Uganda, and their implications on government plan of prioritizing some crops for expansion and zoning. On average, households were observed to cultivate 1.7 ha despite having ownership right to 1.58 ha. A decrease in total cultivated area across all the twelve sub-regions was observed between 2005 and 2009. Over time, only the proportions of land allocation to sweet potato and bean are increasing. Fractional multinomial logit model estimates showed that significant factors that influence share of land allocated to crops include household location within sub-regions, size of cultivated land, distance to output markets and education levels of household head. Efforts to commercialize agriculture through prioritized expansion and zoning of certain crops should also target breaking the current culture of diversified cropping patterns on small sizes of land.

Suggested Citation

  • Francis M. Mwaura & Annet Adong, 2016. "Determinants of Households’ Land Allocation for Crop Production in Uganda," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 9(5), pages 229-229, September.
    • Handle: RePEc:ibn:jsd123:v:9:y:2016:i:5:p:229
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    References listed on IDEAS

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    1. Sigelman, Lee & Zeng, Langche, 1999. "Analyzing Censored and Sample-Selected Data with Tobit and Heckit Models," Political Analysis, Cambridge University Press, vol. 8(2), pages 167-182, December.
    2. John Mullahy & Stephanie Robert, 2010. "No time to lose: time constraints and physical activity in the production of health," Review of Economics of the Household, Springer, vol. 8(4), pages 409-432, December.
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    Cited by:

    1. Awiti, Hezbon Akelo & Gido, Eric Obedy & Obare, Gideon Aiko, 2022. "Crop mix portfolio response to climate risks: evidence from smallholder farmers in Kisumu County, Kenya," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 61(2), February.

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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