Sarah Kühl, Gesa Busch and Matthias Gauly
Local origin of meat acts as a key quality indicator for consumers. How an ideal local meat production should look like is rather unknown. The purpose of this study is to…
Abstract
Purpose
Local origin of meat acts as a key quality indicator for consumers. How an ideal local meat production should look like is rather unknown. The purpose of this study is to comprehensively analyse how an ideal local beef production should be constituted.
Design/methodology/approach
432 consumers from a North Italian province (South Tyrol) were questioned online about their views regarding (local) beef production. 12 attributes, from calf rearing to transport times, were presented with different options. Participants selected the most ideal options from their perspective. Further, willingness to pay for local beef and for the ideally produced local beef as well as the importance of local production for different food categories were assessed.
Findings
The results are quite heterogeneous but show that local production is especially of importance for eggs, dairy products and beef. Traceability to the farms, daily access to a paddock and access to pasture during summer, silage-free feeding, low transport times and suckler cow husbandry are aspects that are mostly selected as ideal. A price premium of 35% for locally produced beef and up to 50% for this ideal production seems reasonable for most consumers.
Research limitations/implications
The study only includes South Tyrolean consumers and thus the validity is limited to this area. Although transferability to other regions can be assumed, future studies are necessary to confirm this assumption.
Originality/value
This is the first study analysing consumers expectations towards local beef production considering several production levels.
Details
Keywords
Yigit Kazancoglu, Melisa Ozbiltekin, Yesim Deniz Ozkan Ozen and Muhittin Sagnak
This study aims to propose an electronic waste collection and classification system to enhance social, environmental and economic sustainability by integrating data-driven…
Abstract
Purpose
This study aims to propose an electronic waste collection and classification system to enhance social, environmental and economic sustainability by integrating data-driven technologies in emerging economies.
Design/methodology/approach
GM (1, 1) model under grey prediction is used in this study in order to estimate the trend of the amount of collected electronic waste in emerging economies.
Findings
It is revealed that the amount of collected electronic waste is increasing day by day, and within the framework of sustainability in the process of collecting and classification of electronic waste, digital technologies were found to be lacking. It has been determined that this deficiency, together with the increasing amount of electronic waste, has caused environmental, social and economic damage to emerging economies.
Originality/value
The main originality of this study is integrating electronic waste collection and classification processes with data-driven technologies and sustainability, which is a relatively new subject.