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Cleaner Production Quality Regulation Strategy of Pharmaceutical with Collusive Behavior and Patient Feedback
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-17
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
The quality of pharmaceuticals has always been a hot issue in the world, and it involves public health, economic development of countries, social stability, and national security.
Cleaner production is a prerequisite for ensuring the quality of medicines.
However, the various types of counterfeit pharmaceuticals and fake vaccines exposed in the recent years have revealed many problems, such as lacking government regulation, loose quality management of companies, illegal profit of medical service agencies, and failure of patient complaints.
This paper’s two innovations are as follows: first, it not only considers the collusion between pharmaceutical companies and medical service agencies, but also introduces patient feedback to study drug quality regulation strategies from a microperspective; second, this paper constructs a tripartite evolutionary game model involving cleaner production pharmaceutical companies, medical service agencies, and the governments to analyze the evolutionary stability using the Lyapunov first rule.
The results of the research show that, first, improvement of patient complaint rates can effectively curb collusive behavior and promote the stable improvement of cleaner production drug quality; second, the governments must impose sufficient fines on pharmaceutical companies to avoid a stable strategic combination of collusion; third, enhancing patient feedback can speed up the evolution of the stable choice of legitimate strategies by pharmaceutical companies and the medical service agencies; finally, the government reducing the strict regulation costs can increase the strict regulation rate employed in the evolution process and slow down the pace of evolution to loose regulation.
In addition, the simulation analysis was carried out using Matlab 2017b, which verified the validity of the model and proved the practical meaning of countermeasures and suggestions for improving government quality regulation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rong, Junmei& Zhu, Lilong. 2020. Cleaner Production Quality Regulation Strategy of Pharmaceutical with Collusive Behavior and Patient Feedback. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1139976
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rong, Junmei& Zhu, Lilong. Cleaner Production Quality Regulation Strategy of Pharmaceutical with Collusive Behavior and Patient Feedback. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1139976
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rong, Junmei& Zhu, Lilong. Cleaner Production Quality Regulation Strategy of Pharmaceutical with Collusive Behavior and Patient Feedback. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1139976
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139976
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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