Assessing the Quality and Floral Variety Market Value: A Hedonic Price Model for Honey

This study quantifies the market values, or implicit prices, of honey quality features (e.g., organic and origin information, package-related features) and floral varieties for supporting beekeepers in differentiating their products to escape from price competition characterizing the Italian honey market. The research employed a sample of sales data, 660 observations collected from the Italian market, and a hedonic price model, estimated via Ordinary Least Squares, to assess the implicit prices of honey characteristics. A high premium price was recorded for honey with added royal jelly and propolis, as well as for “100% Italian” honey. In contrast, moderate price premiums were recorded for Protected Designation of Origin and organic honey. Furthermore, the floral varieties used largely affected the product price: the highest premium prices were estimated for the Manuka, Kanuka, and Tawari floral varieties. Price premiums above +50% were estimated for floral varieties such as Strawberry tree, Pine, Cistus, Tree of Heaven, Sainfoin, Marruca, and Solidago. Results suggest that honey quality features and some floral varieties can effectively differentiate products, supporting beekeepers to achieve higher revenues. This study offers empirical evidence of the extent to which floral varieties and other product characteristics affect the market price of honey using a dataset of secondary data, with the aim to support producers to improve their competitive position in the market.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-04-26
DOI
https://doi.org/10.3390/su17093903
Citations
3
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
9.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Quality and Floral Variety Market Value: A Hedonic Price Model for Honey

Emilio De Meo, Francesco Bimbo, Kristi Nico
3 citations
Sustainability
Plant and animal studies
9.08
article

Assessing the Quality and Floral Variety Market Value: A Hedonic Price Model for Honey

Emilio De Meo, Francesco Bimbo, Kristi Nico
article en
3 citations

Abstract

This study quantifies the market values, or implicit prices, of honey quality features (e.g., organic and origin information, package-related features) and floral varieties for supporting beekeepers in differentiating their products to escape from price competition characterizing the Italian honey market. The research employed a sample of sales data, 660 observations collected from the Italian market, and a hedonic price model, estimated via Ordinary Least Squares, to assess the implicit prices of honey characteristics. A high premium price was recorded for honey with added royal jelly and propolis, as well as for “100% Italian” honey. In contrast, moderate price premiums were recorded for Protected Designation of Origin and organic honey. Furthermore, the floral varieties used largely affected the product price: the highest premium prices were estimated for the Manuka, Kanuka, and Tawari floral varieties. Price premiums above +50% were estimated for floral varieties such as Strawberry tree, Pine, Cistus, Tree of Heaven, Sainfoin, Marruca, and Solidago. Results suggest that honey quality features and some floral varieties can effectively differentiate products, supporting beekeepers to achieve higher revenues. This study offers empirical evidence of the extent to which floral varieties and other product characteristics affect the market price of honey using a dataset of secondary data, with the aim to support producers to improve their competitive position in the market.

SustainabilityVol. 17(9)
University of Foggia (IT), University of Bari Aldo Moro (IT)
Openalex Percentile: Top 3%
Plant and animal studies
9.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.