Volume 22, Issue 1 (2022)
QJER 2022, 22(1): 33-52 |
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ghorbanpur A, jalali R, parsa H, hajiani P. Discriminant Analysis of the Food Industry Clusters based on Circular Economy Components. QJER 2022; 22 (1) : 2
URL: http://ecor.modares.ac.ir/article-18-51736-en.html
URL: http://ecor.modares.ac.ir/article-18-51736-en.html
1- Assistant professor of industrial management, business school, Persian Gulf University, Bushehr, Iran , ah.ghorbanpur@gmail.com
2- Assistant professor of industrial management, business school, Persian Gulf University, Bushehr, Iran
3- Associate Professor of Economics, department of economics, business school, Persian Gulf University, Bushehr, Iran
4- Assistant Professor of Economics, department of economic, business school, Persian Gulf University, Bushehr, Iran
2- Assistant professor of industrial management, business school, Persian Gulf University, Bushehr, Iran
3- Associate Professor of Economics, department of economics, business school, Persian Gulf University, Bushehr, Iran
4- Assistant Professor of Economics, department of economic, business school, Persian Gulf University, Bushehr, Iran
Abstract: (1525 Views)
In recent years, the most important philosophy agreed upon by organizations has been to create both economic, social, and environmental value in the form of the concept of sustainable management. Circular economy is a new concept to account for the sustainable management. The main purpose of this study is to analyze the performance of manufacturing industries from the perspective of the circular economy components. This research was conducted in the second half of 2020. The statistical population of this study includes the food industries in Bushehr province, which due to the limited size of the population, all of them were selected as statistical sample. The data collection tool of this research is a researcher-made questionnaire whose validity was checked by face content analysis method and its reliability was checked by Cronbach's alpha method. In this research, first, by studying the theoretical foundations and empirical background, effective components in circular economics were identified. Then, using the k-means algorithm, clustering of selected food industries was performed. The results showed that the food industries are in two industrial clusters: circular and linear. Next, the species detection function was obtained. It is suggested that linear industrial cluster managers pay more attention to energy efficiency, water consumption management, and sales of recyclable materials in order to transition to a circular economy. This research is of innovative nature in terms of developing the theoretical concept of circular economy and applying it to improve the performance of the food industry.
Article number: 2
Article Type: Original Research |
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Received: 2021/04/18 | Accepted: 2021/08/3 | Published: 2022/03/5
Received: 2021/04/18 | Accepted: 2021/08/3 | Published: 2022/03/5
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