Agriculture Production and Transport Infrastructure in East Africa

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.

Bibliographic Details

Main Authors:	You, Liangzhi, Iimi, Atsushi, Wood-Sichra, Ulrike, Humphrey, Richard Martin
Format:	Working Paper biblioteca
Language:	English en_US
Published:	World Bank, Washington, DC 2015-06
Subjects:	WOOD, AGRICULTURAL GROWTH, FERTILIZER, ENVIRONMENTAL PROTECTION, PRODUCTION, DOMESTIC FOOD, CROP DISTRIBUTION, CROPLAND, AGRICULTURE SECTOR, AGRICULTURAL PRODUCTION, TRANSPORT INFRASTRUCTURE, INFORMATION, ELASTICITY, AGRICULTURAL LANDS, CASSAVA, FOOD POLICY, IFPRI, AGRICULTURAL ECONOMICS, AGRICULTURAL SYSTEM, TRANSPORTATION INFRASTRUCTURE, TRANSPORT ACCESS, INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE, FERTILIZERS, KNOWLEDGE, MAIZE, CLIMATIC CONDITIONS, ROAD, CROP PRODUCTION, CEREALS, COSTS, AGRICULTURAL COMMODITIES, PRODUCTION SYSTEM, CASH CROPS, ACCESSIBILITY INDICES, ROAD NETWORK, FOOD POLICY RESEARCH, TRANSPORT, POPULATION GROWTH, COFFEE PRODUCTION, SEEDS, PRODUCTS, SEED, RESEARCH, FARMING, FARMERS, RURAL ROADS, COCOA, TOBACCO, CROPS, INFRASTRUCTURE, ACCESS TO INFORMATION, LAND USE, PRODUCE, INFRASTRUCTURE INVESTMENT, TRANSPORT NETWORK, INITIATIVES, NATIONAL PARKS, TRANSPORTATION, TEA, CROP, AGRIBUSINESS, PLANTAINS, ECOLOGICAL ZONES, PRODUCTIVITY OF LAND, CROP PRICES, ELASTICITIES, MAIZE YIELDS, CLIMATE, ACCESSIBILITY, NATIONAL TRANSPORT, POPULATION DENSITY, CROPPING, CROP SUITABILITY, AGRICULTURAL SECTOR, COFFEE, AGRICULTURE, HORTICULTURE, CROP LAND, AGRICULTURAL LAND, FAO, RICE PRODUCTION, FERTILIZER APPLICATION, FERTILIZER USE, AGRICULTURAL AREAS, AGRICULTURAL SYSTEMS, RAILWAY, FOOD, ECONOMICS, ROAD USER, EXPORT CROPS, MANAGEMENT, ROADS, COTTON, WALKING, AGRICULTURAL PRODUCTS, LAND, FOOD CROP, AGRICULTURAL LABOR, PRODUCTION SYSTEMS, FARM, FOOD CROPS, RAILROADS, BANANAS, FEED, WHEAT, AGRICULTURAL PRODUCTIVITY, INVESTMENTS, RICE, YIELDS, WALKING DISTANCE, SOIL FERTILITY, CROPPING INTENSITY, ROAD INVESTMENT, PORT ACCESS, ROAD CONDITIONS, AGRICULTURAL, TRANSPORT COSTS, TECHNOLOGIES, ROAD TRANSPORT, COMMODITY, FOOD STAPLES, AGRICULTURAL OUTPUTS, BOTTLENECKS,
Online Access:	http://documents.worldbank.org/curated/en/2015/06/24574272/agriculture-production-transport-infrastructure-east-africa-application-spatial-autoregression https://hdl.handle.net/10986/22154
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