Analyzing Key Variables in Recurrent Carbon Reduction Policies Using a Hybrid Approach: A Focus on Pharmaceutical Distributors in Iran

نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 Ph.D. Candidate in Industrial Management, Operations Research orientation, Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran.

2 Associate Prof., Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran

3 Associate Prof., Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran.

10.22059/imj.2025.392285.1008233

چکیده

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.

کلیدواژه‌ها

عنوان مقاله [English]

Analyzing Key Variables in Recurrent Carbon Reduction Policies Using a Hybrid Approach: A Focus on Pharmaceutical Distributors in Iran

نویسندگان [English]

  • Fatemeh Yaftiyan 1
  • Fatemeh Saghafi 2
  • Mahnaz Hosseinzadeh 3
1 Ph.D. Candidate in Industrial Management, Operations Research orientation, Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran.
2 Associate Prof., Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran
3 Associate Prof., Faculty of Industrial Management and Technology, College of Management, University of Tehran, Tehran, Iran.
چکیده [English]

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.

کلیدواژه‌ها [English]

  • Carbon Reduction Policies
  • Key Variables of Carbon Reduction Policies
  • Systematic Literature Review
  • Intuitionistic Fuzzy DEMATEL

مراجع

Abajian, A., & Pretnar, N. (2024). Subsidies for Close Substitutes: Aggregate Demand for Residential Solar Electricity. Available at SSRN 4839400. https://doi.org/10.1016/j.euroecorev.2024.104848
Abdullah, L., Pouzi, H. M., & Awang, N. A. (2023). Intuitionistic fuzzy DEMATEL for developing causal relationship of water security. International Journal of Intelligent Computing and Cybernetics, 16(3), 520-544. https://doi.org/10.1108/IJICC-11-2022-0296
Abe, T., & Arimura, T. H. (2021). An empirical study of the Tokyo emissions trading scheme: An ex-post analysis of emissions from university buildings. Carbon pricing in Japan, 97-116. https://doi.org/10.1007/978-981-15-6964-7_6
Ambec, S., Esposito, F., & Pacelli, A. (2024). The economics of carbon leakage mitigation policies. Journal of Environmental Economics and Management, 125, 102973. https://doi.org/10.1016/j.jeem.2024.102973
Arimura, T. H., & Abe, T. (2021). The impact of the Tokyo emissions trading scheme on office buildings: what factor contributed to the emission abatement?. Environmental Economics and Policy Studies, 23, 517-533. https://doi.org/10.1007/s10018-020-00271-w
Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96. https://doi.org/10.1007/978-3-7908-1870-3_1
Bai, J., & Ru, H. (2024). Carbon emissions trading and environmental protection: International evidence. Management Science. https://doi.org/10.1287/mnsc.2023.03143
Bakri Zadeh, H., & Shohani, N. (2024). The Pattern of Climate Change in Annual Temperature and Precipitation in Ilam City Using Copula Function. Climate Research, 1403 (58), 11-22. (in Persian). https://doi.org/10.22034/jcr.2024.203190
Bazazan, F., & Khosrovani, N. (2017). The Impact of Government Subsidies on Electricity Demand and Consumption for the Urban and Rural Households in Iran (A Systemic Solution). Journal of Environmental and Natural Resource Economics, 1 (1), 1-25. (in Persian). https://doi.org/10.22054/eenr.2007.6996
Browning, M., McFarland, J., Bistline, J., Boyd, G., Muratori, M., Binsted, M., & Weyant, J. (2023). Net-zero CO2 by 2050 scenarios for the United States in the energy modeling forum 37 study. Energy and Climate Change, 4, 100104. https://doi.org/10.1016/j.egycc.2023.100104
Bruninx, K., Ovaere, M., & Delarue, E. (2020). The long-term impact of the market stability reserve on the EU emission trading system. Energy Economics, 89, 104746. https://doi.org/10.1016/j.eneco.2020.104746
Crippa, M., Guizzardi, D., Pagani, F., Banja, M., Muntean, M., Schaaf, E., Monforti-Ferrario, F., Becker, W., Quadrelli, R., Risquez Martin, A., Taghavi-Moharamli, P., Köykkä, J., Grassi, G., Rossi, S., Melo, J., Oom, D., Branco, A., San-Miguel, J., Manca, G., Pisoni, E., Vignati, E., Pekar, F. (2024). GHG emissions of all world countries. European Commission. https://edgar.jrc.ec.europa.eu/report_2024
Dissanayake, S., Mahadevan, R., & Asafu-Adjaye, J. (2020). Evaluating the efficiency of carbon emissions policies in a large emitting developing country. Energy Policy, 136, 111080. https://doi.org/10.1016/j.enpol.2019.111080
Feng, X., Zhao, Y., & Yan, R. (2024). Does carbon emission trading policy has emission abatement effect? —An empirical study based on quasi-natural experiment method. Journal of Environmental Management, 351, 119791. https://doi.org/10.1016/j.jenvman.2023.119791
Harvey, V., Workman, M., & Heap, R. (2023). Developing carbon dioxide removal policy and anticipatory perspectives in the United Kingdom and United States. Energy Research & Social Science, 102, 103185. https://doi.org/10.1016/j.erss.2023.103185
Hojjat, S., Sadeghi, Z., & Mirzaei Khalilabad, H. R. (2020). Investigating Carbon Reduction and Growth Policies in Iran by Input -Output Analysis Approach. Journal of Environmental and Natural Resource Economics, 3(7), 51-72. (in Persian). https://doi.org/10.22054/eenr.2020.12488
Jin, Y., Liu, X., Chen, X., & Dai, H. (2020). Allowance allocation matters in China's carbon emissions trading system. Energy Economics, 92, 105012. https://doi.org/10.1016/j.eneco.2020.105012
Jung, H., & Song, C. K. (2023). Effects of emission trading scheme (ETS) on change rate of carbon emission. Scientific Reports, 13(1), 912. https://doi.org/10.1038/s41598-023-28154-6
Li, H., & Peng, W. (2020). Carbon tax, subsidy, and emission abatement: Analysis based on DSGE model. Complexity, 2020(1), 6683482. https://doi.org/10.1155/2020/6683482
Nsabiyeze, A., Ma, R., Li, J., Luo, H., Zhao, Q., Tomka, J., & Zhang, M. (2024). Tackling climate change in agriculture: A global evaluation of the effectiveness of carbon emission abatement policies. Journal of Cleaner Production, 142973. https://doi.org/10.1016/j.jclepro.2024.142973
Padash, A., & Mohammadizadeh, M. (2024). Environmental Sustainability and the Role of Carbon Emission Reduction Policies in Addressing Climate Change. The First National Conference on the Future and Sustainability of the Environment, Tehran. (in Persian). https://civilica.com/doc/2112466
Pan, X., Li, M., Xu, H., Guo, S., Guo, R., & Lee, C. T. (2021). Simulation on the effectiveness of carbon emission trading policy: A system dynamics approach. Journal of the operational research society, 72(7), 1447-1460. https://doi.org/10.1080/01605682.2020.1740623
Quinn, B., Gallagher, R., & Kuosmanen, T. (2023). Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period. Energy Economics, 118, 106338. https://doi.org/10.1016/j.eneco.2022.106338
Ramani, V., Rani Kuiti, M., Ghosh, D., & Swami, S. (2024). Effectiveness of environmental regulations: firm’s decisions and welfare implications. Journal of the Operational Research Society, 75(12), 1-21. https://doi.org/10.1080/01605682.2024.2323664
Rostamizadeh, K., Doroudi, H., & Mohammadi, A. (2021). Presenting a model for identifying the factors and components of sustainable development in the iron and steel industry by fuzzy DEMATEL and grounded data techniques. Industrial Management Journal, 13(3), 514-536. (in Persian). https://doi.org/10.22059/imj.2021.330333.1007866
Sadeghi, Z., Jahanyan, S. & Shahin, A. (2023). Mapping the interactive model of relationships between blockchain-related variables in the green supply chain: DEMATEL-ISM approach. Industrial Management Journal, 15(2), 244-271. (in Persian). https://doi.org/10.22059/imj.2023.350889.1008001
Samadi Foroushani, M., Hosseinzadeh, M., Khodamoradi, T. & Keyhanpour, M. (2023). Managing the complexity of poverty in underdeveloped oil-rich regions in the Iranian province of Ilam: an application of the system dynamics approach. Industrial Management Journal, 15(2), 299-334. (in Persian). https://doi.org/10.22059/imj.2023.353557.1008018
Shojaei, T., & Mokhtar, A. (2022). Carbon mitigation by quota allocation. Journal of Environmental Management, 304, 114097. https://doi.org/10.1016/j.jenvman.2021.114097
Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL technique: a systematic review of the state‐of‐the‐art literature on methodologies and applications. Mathematical problems in Engineering, 2018(1), 3696457. https://doi.org/10.1155/2018/3696457
Yao, L., Tan, S., & Xu, Z. (2023). Towards carbon neutrality: what has been done and what needs to be done for carbon emission abatement?. Environmental Science and Pollution Research, 30(8), 20570-20589. https://doi.org/10.1007/s11356-022-23595-4
Zegordi, S., & Shahidi, S. (2022). Beef supply chain analysis based on carbon emission costs, under revenue-sharing and cost-sharing contracts. Industrial Management Journal, 14(4), 618-637. (in Persian). https://doi.org/10.22059/imj.2022.345427.1007960
Zhang, Y., Li, S., Luo, T., & Gao, J. (2020). The effect of emission trading policy on carbon emission abatement: Evidence from an integrated study of pilot regions in China. Journal of Cleaner Production, 265, 121843. https://doi.org/10.1016/j.jclepro.2020.121843
Zhao, L., Yang, C., Su, B., & Zeng, S. (2020). Research on a single policy or policy mix in carbon emissions abatement. Journal of Cleaner Production, 267, 122030. https://doi.org/10.1016/j.jclepro.2020.122030
 
مدیریت صنعتی
دوره 17، شماره 2
1404
صفحه 26-1

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