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Agriculture production and transport infrastructure in east Africa : an application of spatial autoregression

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  • Iimi,Atsushi
  • You,Liangzhi
  • Wood-Sichra,Ulrike
  • Humphrey,Richard Martin

Abstract

Africa is estimated to have great potential for agricultural production, but there are a number of constraints inhibiting the development of that potential. Spatial data are increasingly important in the realization of potential as well as the associated constraints. With crop production data generated at 5-minute spatial resolution, the paper applies the spatial tobit regression model to estimate the possible impacts of improvements in transport accessibility in East Africa. It is found that rural accessibility and access to markets are important to increase agricultural production. In particular for export crops, such as coffee, tea, tobacco, and cotton, access to ports is crucial. The elasticities are estimated at 0.3?4.6. In addition, the estimation results show that spatial autocorrelation matters to the estimation results. While a random shock in a particular locality would likely affect its neighboring places, the spatial autoregressive term can be positive or negative, depending on how fragmented the current production areas are.

Suggested Citation

  • Iimi,Atsushi & You,Liangzhi & Wood-Sichra,Ulrike & Humphrey,Richard Martin, 2015. "Agriculture production and transport infrastructure in east Africa : an application of spatial autoregression," Policy Research Working Paper Series 7281, The World Bank.
    • Handle: RePEc:wbk:wbrwps:7281
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    References listed on IDEAS

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    Cited by:

    1. Vandercasteelen, Joachim & Beyene, Seneshaw Tamru & Minten, Bart & Swinnen, Johan, 2018. "Cities and agricultural transformation in Africa: Evidence from Ethiopia," World Development, Elsevier, vol. 105(C), pages 383-399.
    2. repec:lic:licosd:37416 is not listed on IDEAS
    3. Hitoshi Saito & Haruaki Hirota & Hideo Yunoue & Miki Miyaki, 2023. "Do municipal mergers internalise spatial spillover effects? empirical evidence from Japanese municipalities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 379-406, April.
    4. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.

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    More about this item

    Keywords

    Transport Economics Policy&Planning; Climate Change and Agriculture; Rural Development Knowledge&Information Systems; Crops and Crop Management Systems; Food&Beverage Industry;
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