Volume 25, Issue 1 (3-2022)
jha 2022, 25(1): 69-79 |
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Amin-Tahmasbi H, Asgharpour M, Izdiar P. Evaluation of the government's support policies for the pharmaceutical industry in the midst of sanctions and the covid-19 pandemic. jha 2022; 25 (1) :69-79
URL: http://jha.iums.ac.ir/article-1-3985-en.html
URL: http://jha.iums.ac.ir/article-1-3985-en.html
1- Assistant Professor, Department of Industrial Engineering, East School of Technology and Engineering, University of Guilan, Roodsar, Iran. , amintahmasbi@guilan.ac.ir
2- M.Sc Student, Department of Industrial Engineering, Technical Campus(1), Yazd University, Yazd, Iran.
3- M.Sc Student, Faculty of Engineering, University of Tehran, Tehran, Iran.
2- M.Sc Student, Department of Industrial Engineering, Technical Campus(1), Yazd University, Yazd, Iran.
3- M.Sc Student, Faculty of Engineering, University of Tehran, Tehran, Iran.
Abstract: (2364 Views)
Introduction: The pharmaceutical industry is one of the most critical industries in the country, and solving its problems is of great importance. In the current situation, on the one hand, many sanctions have been imposed on the country. On the other hand, with the outbreak of Covid-19, the importance of medicine for the country's health system has received more attention. Therefore, given the political and economic conditions, the development and accurate planning of the government to support the pharmaceutical industry must be given priority. Thus, this study examines and explains the role of the government and its support for the pharmaceutical industry during the Covid-19 pandemic by identifying policies to determine their effectiveness and rank.
Methods: In the present applied-descriptive research, a questionnaire and interviews with experts were used. The number of experts participating in this study was ten; they were managers of different departments of pharmaceutical knowledge-based companies who were selected using purposive, non-random sampling method. Causal relationships and the effect of model variables were identified using the fuzzy DMATEL technique. Finally, the importance of each support was determined using the fuzzy ANP method and Super Decisions software.
Results: Three categories of support policies and eight supports related to the influential role of the government in the development of the country's pharmaceutical industry were identified. As a result, exemptions were recognized as the most influential support policies, including customs exemption protections, tax exemptions for pharmaceutical companies, and exemptions or deferral of previous loans.
Conclusion: Drug safety is one of the main goals of development policies, and ending dependence on the aid of other countries and self-sufficiency in this industry requires the formulation of special protection principles.The government can use the results obtained in this study in determining its support policies for the pharmaceutical industry in the face of sanctions and Covid-19 pandemic.
Methods: In the present applied-descriptive research, a questionnaire and interviews with experts were used. The number of experts participating in this study was ten; they were managers of different departments of pharmaceutical knowledge-based companies who were selected using purposive, non-random sampling method. Causal relationships and the effect of model variables were identified using the fuzzy DMATEL technique. Finally, the importance of each support was determined using the fuzzy ANP method and Super Decisions software.
Results: Three categories of support policies and eight supports related to the influential role of the government in the development of the country's pharmaceutical industry were identified. As a result, exemptions were recognized as the most influential support policies, including customs exemption protections, tax exemptions for pharmaceutical companies, and exemptions or deferral of previous loans.
Conclusion: Drug safety is one of the main goals of development policies, and ending dependence on the aid of other countries and self-sufficiency in this industry requires the formulation of special protection principles.The government can use the results obtained in this study in determining its support policies for the pharmaceutical industry in the face of sanctions and Covid-19 pandemic.
Keywords: Pharmaceutical Industries, COVID-19, Government Support Policies, Sanction, Fuzzy DEMATEL, Fuzzy ANP
Type of Study: Research |
Subject:
Health Policy
Received: 2021/12/21 | Accepted: 2022/03/16 | Published: 2022/07/31
Received: 2021/12/21 | Accepted: 2022/03/16 | Published: 2022/07/31
References
1. Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, Iosifidis C, et al. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. Int J Surg. 2020;78:185-93. [DOI:10.1016/j.ijsu.2020.04.018]
2. Ayati N, Saiyarsarai P, Nikfar Sh. Short and long term impacts of COVID-19 on the pharmaceutical sector. Daru. 2020;28(2):799-805. [DOI:10.1007/s40199-020-00358-5]
3. Shahbahrami E, Amoozad Mahdiraji H, Hosseinzadeh M. prioritizing determinants of drug sustainable supply chain management in Hospital Pharmacies. Journal of Health Administration. 2020;23(2):89-101. [In Persian] [DOI:10.29252/jha.23.2.89]
4. Charumilind S, Craven M, Lamb J, Sabow A, Singhal S, Wilson M. When will the covid-19 pandemic end? [Internet]. McKinsey & Company; 2021. Available from: https://www.mckinsey.com/industries/healthcare-systems-and-services/our-insights/when-will-the-covid-19-pandemic-end
5. Davodi N, Raissi S. Forecasting model for annual drug demand in Iran. Journal of Health Administration. 2019;22(3):89-104. [In Persian]
6. Masarova G, Stefanikova L, Rypakova M. The necessity of obtaining information through marketing research in the field of pharmaceutical companies on the slovak market. Procedia Economics and finance. 2015;23:1480-4. [DOI:10.1016/S2212-5671(15)00356-1]
7. Abhari B, Aleemran R, Aghajani H. The long-run effect of sanctions on the Central Bank of Islamic Republic of Iran on health: An autoregressive distributed lags approach. Journal of Health Administration. 2021;24(1):98-109. [In Persian] [DOI:10.52547/jha.24.1.98]
8. Cheraghali AM. Trends in Iran pharmaceutical market. Iran J Pharm Res. 2017;16(1):1-7.
9. Goniewicz K, Khorram-Manesh A, Hertelendy AJ, Goniewicz M, Naylor K, Burkle Jr FM. Current response and management decisions of the European :union: to the COVID-19 outbreak: A review. Sustainability. 2020 ;12(9):1-12. [DOI:10.3390/su12093838]
10. Salsabil M, Shafia MA, Pishvaee S, Shahanaghi K. Robust tactical planning of the three-tier global supply chain under sanctions disruption conditions, taking into account shelf life (case study: Drug supply chain). Journal of Industrial Management. 2015;7)2(:305-332. [In Persian]
11. Izady B, Shafiei M. Provide a decision support system to assess and prioritize the risk of importing goods in order to manage the effects of sanctions (case study: Import of pharmaceutical items of Farabi Pharmaceutical Company). Prod Oper Manag. 2018;9(1):79-106. [In Persian]
12. Amin-Tahmasbi H, Hami M. Analysis of the supply chain resilience and sustainability criteria in pharmaceutical industry using interpretive structural analysis method. Journal of standard and Quality Management. 2020;9(4):40-48. [In Persian]
13. Mittal S, Sharma D. The impact of COVID-19 on stock returns of the Indian healthcare and pharmaceutical sector. Australasian Accounting, Business and Finance Journal. 2021;15(1):5-21. [DOI:10.14453/aabfj.v15i1.2]
14. Shahbazi K, Asadi F. Impact of exchange rate on imports of medicines and medical equipment. The Journal of Economic Policy. 2014;6(11):35-54. [In Persian]
15. Vaez, S., Dorseh, S. Investigating the Effect of Auditor Specialization in Industry on the Relationship between Tax Avoidance and the Risk of Future Stock Price Crash of Pharmaceutical and Non-pharmaceutical Companies Listed on the Tehran Stock Exchange. JHA, 2016; 5(1): 79-106. [In Persian]
16. Amin-Tahmasbi H, Asgharpour M. Challenges of managing health centers during the COVID-19 pandemic. Journal of Health Administration. 2021;24(3):79-91. [In Persian] [DOI:10.52547/jha.24.3.79]
17. Saunders MNK, Lewis P, Thornhill A. Research methods for business students. 7th ed. New York: Pearson Higher Education; 2015.
18. Saaty TL. The analytic hierarchy process: Decision making in complex environments. In: Avenhaus R, Huber RK, editors. Quantitative assessment in arms control. Boston: Springer; 1984. p. 1-69. [DOI:10.1007/978-1-4613-2805-6_12]
19. Gabus A, Fontela E. World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center. 1972.
20. Lin CJ, Wu WW. A causal analytical method for group decision-making under fuzzy environment. Expert Syst Appl. 2008;34(1):205-13. [DOI:10.1016/j.eswa.2006.08.012]
21. Hatefi M, Tamosaitiene J. An integrated fuzzy DEMATEL-fuzzy ANP model for evaluating construction projects by considering interrelationships among risk factors. J Constr Eng Manag. 2019;25(2):114-31. [DOI:10.3846/jcem.2019.8280]
22. Nojavan M, Bandy B. A new fuzzy approach to determine the best method for the installation of marine pipelines. Advances in Industrial Engineering. 2018;51(4):463-73. [In Persian]
23. Wu WW. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Syst Appl. 2008;35(3):828-35. [DOI:10.1016/j.eswa.2007.07.025]
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