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مدیریت صنعتی، جلد ۱۷، شماره ۲، صفحات ۱-۲۶
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عنوان انگلیسی Analyzing Key Variables in Recurrent Carbon Reduction Policies Using a Hybrid Approach: A Focus on Pharmaceutical Distributors in Iran
چکیده انگلیسی مقاله Objective: This research aims to identify recurring carbon reduction policies and their key variables, and analyze their relationships within pharmaceutical distribution in Iran.
Methods: A mixed-method of qualitative and quantitative approaches was adopted. Firstly, a systematic literature review was employed to identify the policies and variables. Afterward, the Intuitive Fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method was used to analyze the causal relationships among identified variables in uncertain conditions. Following snowball sampling, data were gathered through expert questionnaires from 15 specialists in five groups, selected based on relevant expertise in carbon reduction policies, particularly for pharmaceutical distribution companies in Iran. 
Results: The study identified three key carbon reduction policies—cap-and-trade, subsidy allocation, and financial penalties—all shaped by distinct variables. Cap-and-trade includes the emission cap, carbon selling price, and demand for carbon emission permits. Subsidy allocation and financial penalties cover the subsidy amount and the penalty rate, respectively. Notably, carbon emission level emerged as the most influential factor in shaping policy effectiveness, while carbon reduction cost was identified as the most impactful variable. These two variables are integral to all three policies, highlighting their pivotal role in policy formulation. While the demand for carbon emission permits remains neutral regarding influence and susceptibility, other variables demonstrate complex interdependencies, creating a dynamic system where policies interact directly through primary variables or indirectly through shared criteria.
Conclusion: This study contributes to environmental policy research by offering an analytical framework that integrates uncertainty logic to assess relationships among key variables. The findings suggest that implementing a single policy may not be sufficient—a combination of strategies is recommended for more effective carbon reduction. Understanding how variables interact can help policymakers and businesses design targeted and efficient pharmaceutical distribution strategies in Iran.
کلیدواژه‌های انگلیسی مقاله Carbon Reduction Policies,Key Variables of Carbon Reduction Policies,Systematic literature review,Intuitionistic Fuzzy DEMATEL
نویسندگان مقاله Fatemeh Yaftiyan |
Ph.D. Candidate in Industrial Management, Operations Research orientation, Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran.

Fatemeh Saghafi |
Associate Prof., Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran

Mahnaz Hosseinzadeh |
Associate Prof., Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran.

نشانی اینترنتی https://imj.ut.ac.ir/article_102451_bd9d5cae1aaf5817a5a32165adbfafb0.pdf
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