Managerial factors for evaluating eco‐clustering approach
Abstract
Purpose
The paper aims to study the main managerial factors for evaluating the eco‐cluster approach and to promote their implementation within the environmental industry management.
Design/methodology/approach
The paper includes the authors' observations about the advantages of eco‐clustering, and their practical consideration. The empirical research shows the tendencies for developing an eco‐cluster policy in one of the most economically dynamic regions in Bulgaria: Varna‐Devnya. The study framework was discussed with managers on the basis of the environmental practices of Solvay Sodi, Devnya Cement, and Agropolihim JSC. The authors outline the possible cycle of waste management and emission exchanges in that industrial zone.
Findings
The findings show that the eco‐cluster concept in Bulgaria could be provided on micro‐ and macro‐managerial levels, discussing firm relationships and governmental policy. The principal limitation for generating the findings is the lack of concordance between the governmental interest and the business interests of the TNCs. Three negative factors are important in the implementation of the eco‐clustering concept: lack of information; financial constraints; lack of trust.
Practical implications
Common strategic agreements between TNCs and local authorities provide useful managerial and public implications for eco‐clustering. Second, the analysis outlines essential steps for the managerial behavior for creating eco‐clusters.
Originality/value
The perspectives of the eco‐cluster are studied for the first time in Bulgaria. The investigation gives motivation for a further study of the eco‐clustering approach with the support of the local authorities. The practical steps for managerial and public implications of the eco‐cluster concept as an innovative tool for Bulgarian managers are revealed.
Keywords
Citation
Dimitrova, V., Lagioia, G. and Gallucci, T. (2007), "Managerial factors for evaluating eco‐clustering approach", Industrial Management & Data Systems, Vol. 107 No. 9, pp. 1335-1348. https://doi.org/10.1108/02635570710833992
Publisher
:Emerald Group Publishing Limited
Copyright © 2007, Emerald Group Publishing Limited