Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda

Ugandan smallholder farmers produce the nation’s major food crop using numerous banana varieties with distinctive attributes, while coping with important biotic constraints and imperfect markets. This empirical context motivates a trait-based model of the agricultural household that establishes the...

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Main Authors: Edmeades, Svetlana, Smale, Melinda, Renkow, Mitch, Phaneuf, Dan
Format: Artículo preliminar
Language:Inglés
Published: International Food Policy Research Institute 2004
Subjects:
Online Access:https://hdl.handle.net/10568/156586
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author Edmeades, Svetlana
Smale, Melinda
Renkow, Mitch
Phaneuf, Dan
author_browse Edmeades, Svetlana
Phaneuf, Dan
Renkow, Mitch
Smale, Melinda
author_facet Edmeades, Svetlana
Smale, Melinda
Renkow, Mitch
Phaneuf, Dan
author_sort Edmeades, Svetlana
collection Repository of Agricultural Research Outputs (CGSpace)
description Ugandan smallholder farmers produce the nation’s major food crop using numerous banana varieties with distinctive attributes, while coping with important biotic constraints and imperfect markets. This empirical context motivates a trait-based model of the agricultural household that establishes the economic association between household preferences for specific variety attributes (yield, disease and pest resistance, and taste), among other exogenous factors, and variety demand, or the extent of cultivation. Six variety demands are estimated in reduced form, each in terms of both plant counts (“absolute” or levels demand) and plant shares (“relative” demand). Two salient findings emerge from the analysis: 1) the determinants of both absolute and relative demands are variety-specific and cannot be generalized across groups of cultivars; and 2) the determinants of absolute and relative demand are not the same in sign or significance. These findings raise questions about commonly used econometric specifications in the adoption literature. Grouping varieties together masks individual differences, and differences may be important for predicting the adoption of new technologies such as genetically transformed, endemic or local varieties. The development of methods to estimate a complete variety demand system might permit resolution of cross-variety relationships. The purpose of this research is to contribute information of use in identifying suitable local host varieties for the insertion of resistance traits through genetic transformation, and the factors affecting their potential adoption.
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spelling CGSpace1565862025-11-06T05:21:16Z Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda Edmeades, Svetlana Smale, Melinda Renkow, Mitch Phaneuf, Dan households models demand components bananas agricultural economics genetic engineering Ugandan smallholder farmers produce the nation’s major food crop using numerous banana varieties with distinctive attributes, while coping with important biotic constraints and imperfect markets. This empirical context motivates a trait-based model of the agricultural household that establishes the economic association between household preferences for specific variety attributes (yield, disease and pest resistance, and taste), among other exogenous factors, and variety demand, or the extent of cultivation. Six variety demands are estimated in reduced form, each in terms of both plant counts (“absolute” or levels demand) and plant shares (“relative” demand). Two salient findings emerge from the analysis: 1) the determinants of both absolute and relative demands are variety-specific and cannot be generalized across groups of cultivars; and 2) the determinants of absolute and relative demand are not the same in sign or significance. These findings raise questions about commonly used econometric specifications in the adoption literature. Grouping varieties together masks individual differences, and differences may be important for predicting the adoption of new technologies such as genetically transformed, endemic or local varieties. The development of methods to estimate a complete variety demand system might permit resolution of cross-variety relationships. The purpose of this research is to contribute information of use in identifying suitable local host varieties for the insertion of resistance traits through genetic transformation, and the factors affecting their potential adoption. 2004 2024-10-24T12:44:43Z 2024-10-24T12:44:43Z Working Paper https://hdl.handle.net/10568/156586 en Open Access application/pdf International Food Policy Research Institute Edmeades, Svetlana; Smale, Melinda; Renkow, Mitch; Phaneuf, Dan. 2004. Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda. EPTD Discussion Paper 125. https://hdl.handle.net/10568/156586
spellingShingle households
models
demand
components
bananas
agricultural economics
genetic engineering
Edmeades, Svetlana
Smale, Melinda
Renkow, Mitch
Phaneuf, Dan
Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda
title Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda
title_full Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda
title_fullStr Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda
title_full_unstemmed Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda
title_short Variety demand within the framework of an agricultural household model with attributes: the case of bananas in Uganda
title_sort variety demand within the framework of an agricultural household model with attributes the case of bananas in uganda
topic households
models
demand
components
bananas
agricultural economics
genetic engineering
url https://hdl.handle.net/10568/156586
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