U.S. Import Demand and Supply Response for Fresh Tomatoes, Cantaloupes, Onions, Oranges, and Spinach
Authors:
- 1 February 2013
- journal article
- Published by Cambridge University Press (CUP) in Journal of Agricultural and Applied Economics
- Vol. 45 (3) , 435-452
Abstract
Elasticities of import demand and supply often drive economic models, but few empirical estimates of these elasticities exist for vegetables and fruits. For those that do exist, most are outdated. Because elasticities change over time as income, prices, and market conditions change, outdated elasticity estimates may not be representative of changes in import quantities demanded or in acreages, yield, and quantities supplied. Moreover, import demand elasticities by country of origin for most vegetables and fruits are nonexistent. This article presents research that updates elasticity estimates for each of the selected product categories and includes production and trade implications.Keywords
This publication has 16 references indexed in Scilit:
- Estimation of Supply and Demand Elasticities of California CommoditiesSSRN Electronic Journal, 2008
- Demand Relationships among Fresh Fruit and Juices in CanadaApplied Economic Perspectives and Policy, 1992
- Agricultural supply response: A surveyAgricultural Economics, 1989
- Co-Integration and Error Correction: Representation, Estimation, and TestingEconometrica, 1987
- European Community Enlargement and World Trade in Fruits and VegetablesAmerican Journal of Agricultural Economics, 1983
- Some properties of time series data and their use in econometric model specificationJournal of Econometrics, 1981
- The Information Approach to Demand AnalysisEconometrica, 1965
- The Demand for Fertilizer: An Economic Interpretation of a Technical ChangeJournal of Farm Economics, 1958
- Estimates of the Elasticities of Supply of Selected Agricultural CommoditiesJournal of Farm Economics, 1956
- Why do we Sometimes get Nonsense-Correlations between Time-Series?--A Study in Sampling and the Nature of Time-SeriesJournal of the Royal Statistical Society, 1926