U.S. Demand for Dairy Alternative Beverages: Attribute Space Distance and Hedonic Matric Approaches Reportar como inadecuado

U.S. Demand for Dairy Alternative Beverages: Attribute Space Distance and Hedonic Matric Approaches - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Consumption of dairy alternative beverages in the United States has been growing in the light of decreasing consumption of dairy milk. Although almond milk and soymilk are the fastest growing categories in the U.S. dairy alternative marketplace, there exist numerous other products such as coconut milk, rice milk, cashew nut milk, and hazelnut milk. These plant-based products claim to have more protein and calcium, and less in fat and calories compared to conventional dairy milk, hence perceived growth in consumer preference. Using market level weekly purchase data from 2015 Nielsen scanner panel and attribute space distance and hedonic matric approaches within Barten synthetic model, own-price, cross-price and expenditure elasticities for aforementioned beverage products were estimated. Distance and hedonic variables with regards to product attributes such as calorie, fat, protein, calcium and other nutrients (vitamins and minerals such as iron, vitamin B) are used to estimate, first an n-dimensional distance (hedonic) space based on above qualitative information available to consumers and then this information is allocated to Barten synthetic model to generate demand elasticities using qualitative factor distances. Preliminary analysis revealed following own-price demand elasticities: Soymilk -1.13, almond milk -0.5, and coconut milk -0.46.

Keywords: Dairy alternative beverages ; Nielsen data ; Distance matric ; Hedonic matric ; product attributes ; Barten synthetic model

Subject(s): Consumer/Household Economics

Demand and Price Analysis

Research Methods/ Statistical Methods

Issue Date: 2017-01

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/252742

JEL Codes: G11; G12

Record appears in: Southern Agricultural Economics Association (SAEA) > 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama

Autor: Dharmasena, Senarath ; Yang, Tingyi ; Capps, Oral Jr.

Fuente: http://ageconsearch.umn.edu/record/252742?ln=en

Documentos relacionados