Impact of Structural Components of Market on the Markup Level Based on Radial Basis Neural Network and Fuzzy Logic

	Impact of Structural Components of Market on the Markup Level Based on Radial Basis Neural Network and Fuzzy Logic
International Journal of Business and Development Studies
مقاله 6، دوره 6، شماره 1، آذر 2014، صفحه 99-112 اصل مقاله (314.22 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijbds.2014.1640
نویسندگان
Mohammad Nabi Shahiki Tash؛ Saber Molaei؛ Kamran Barghandan
چکیده
This paper aims to evaluate the impact of several indices of market structure including entry to barrier, economies of scale and concentration degree on 140 active industries using the digit. Accordingly, we apply three methods including cost disadvantages ratio ( ), Herfindahl–Hirschman concentration index ( ) and Comanor and Willson criterion in order to assess the economies of scale and using the Roger's approach for measuring the Mark up level () in the industries. Hence, in this study first we cluster 140 industries according to the neural network under a radial basis function (RBF) and then identify the mark up level by extracting the rules indicating the relationships of structural variables of the market (i.e. concentration, entry to barrier and economies of scale).
کلیدواژه‌ها
Market Structure؛ Fuzzy logic؛ Neural Network؛ Markup

آمار تعداد مشاهده مقاله: 1,946 تعداد دریافت فایل اصل مقاله: 1,951

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