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https://doi.org/10.2495/st1102...
Article . 2011 . Peer-reviewed
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To identify Zanjan food and beverage clusters

Authors: S. Hagh Nazari;

To identify Zanjan food and beverage clusters

Abstract

Nowadays, industrial clusters have attracted the public attention in some parts of the world. The main power in the cluster is due to the creation of potential jobs, the same factor in the past to promote small industries, especially in the food and beverage field. In addition, the success of these clusters indicates the competitive ability of small and medium-sized companies in global markets. In this project, a new method was used called analysis of geographic information for identifying food and beverage factories in Zanjan Province. For this purpose, initially, SMEs were specified in Zanjan Province with 99 to 100 percent development and employment for 3 to 200 people in the mentioned field. So the fast and more accurate general perceptions resulted in the current status of industry-specified locations, how their distribution was carried out, the changes to economic factors over time, and future forecasts. In the next stage the geographic information of SMEs was obtained and analyzed. The nearest neighbour determination method was used to detect the acceptable scattering rate of industrial clusters. The results of the study showed that food and beverage cluster was in the third category of importance in the province after textile and electrical machinery clusters. So, in the future, based on the capabilities and guidance and support, the food and beverage clusters will grow.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze