Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/16043
Title: New Product Introductions in the Danish Food Industry: A Quantile Regression Model for Count Data
Contributor(s): Park, Timothy A (author); Baker, Derek  (author)orcid 
Publication Date: 2009
Handle Link: https://hdl.handle.net/1959.11/16043
Abstract: This paper evaluates how new product introductions by Danish agri-food industry firms are affected by food and safety regulations and sales contract features specified by firms. The econometric model is based on a quantile regression for count data of new product introductions. Food and safety regulations have significant negative impacts constraining the innovation of firms with the most extensive portfolios of new products or the firms located at the 90% ZA-quantile of new product introductions. Control over the specification and design of sales contract induces higher levels of new product introductions for the highly innovative firms. The negative binomial count model overlooks the impacts of both these factors on new products, highlighting the value of the quantile approach.
Publication Type: Journal Article
Source of Publication: The Empirical Economics Letters, 8(10), p. 979-985
Publisher: University of Rajshahi
Place of Publication: India
ISSN: 1681-8997
Fields of Research (FoR) 2008: 140201 Agricultural Economics
Socio-Economic Objective (SEO) 2008: 910204 Industry Costs and Structure
910209 Preference, Behaviour and Welfare
910203 Industrial Organisations
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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