Resumen
The growing emphasis on local sourcing and sustainability is reshaping consumer preferences in the food industry. This study investigates how consumers evaluate value-added dairy products by examining the interplay between local branding and environmental impact. Using a mixed logit model and segmentation analysis, we explore consumer responses to various local labels, including “Kentucky Proud,” “Made with Kentucky Milk,” and “Produced within 100 miles,” as well as carbon footprint metrics. Our findings reveal a strong preference for state-affiliated labels like “Kentucky Proud” over geographic proximity labels, potentially pointing to the influence of state boundaries on consumer decision-making. Furthermore, we identify six distinct consumer segments, each characterized by unique priorities regarding local identity and environmental sustainability. These insights provide practical strategies for marketers to promote locally produced, environmentally friendly dairy products, emphasizing the need for integrated labeling approaches that resonate with diverse consumer priorities.
| Idioma original | English |
|---|---|
| Publicación | Agricultural Economics (United Kingdom) |
| DOI | |
| Estado | Accepted/In press - 2025 |
Nota bibliográfica
Publisher Copyright:© 2025 International Association of Agricultural Economists.
Financiación
Zhao acknowledges the Bill‐Gatton Foundation Early Career Professorship funding support from the University of Kentucky Martin‐Gatton College of Agriculture, Food, and Environment. : This study was supported by the , Woods and Zhao USDA‐AMS sub‐award with the University of Tennessee, Grant # AM22DBITN1013. Funding Southeast Dairy Business Innovation Initiative
| Financiadores | Número del financiador |
|---|---|
| Bill Gatton Foundation | |
| University of Kentucky Martin-Gatton College of Agriculture, Food and Environment Division of Regulatory Services | |
| University of Tennessee | AM22DBITN1013 |
ASJC Scopus subject areas
- Agronomy and Crop Science
- Economics and Econometrics