تاکسونومی عددی

The purpose of this study is to rank the provinces of the country based on business space indicators based on 22 components of business space in the period 1394-1384, which was evaluated using numerical taxonomy technique. The research method is descriptive the and is an applied research type. In this research, in order to rank the provinces of the country based on 22 indexes of business space during 1384-1394, usined numerical taxonomic techniques, and the method of collecting library information based on raw data from the research group of the Parliamentary Research Center Islamic Council of Iran has been used. Based on the average results of a seven-year period based on the 22 business environment indicators, the provinces of Guilan, Chaharmahal Bakhtiari, Ardebil and Central have ranked first to fourth, respectively, the best estimate of the business environment. West Azerbaijan, Bushehr, Kohgiluyeh and Boyer Ahmed and Ilam have been ranked 27 to 30, respectively. Named the most disadvantaged provinces in the country.

One of the important strategies in economic development, is development of non-oil exports. In order to increase non-oil export policy, cognition of domestic products priorities that have the necessary conditions of international markets penetration, it seems to be necessary. In this study, the structure of the global market was studied for three products as apples, grapes and kiwi and Iran’s market power in targeted countries compared with competitors by using Herfindahl-Hirschman index and also ranking the Iran’s targeted countries based on some indicators such as market continuation, the average price in dollar, average share of the targeted country, coefficient of price volatility and the coefficient of volatility for the imports share of targeted country and by using numerical taxonomy approach. Results of ranking the global market for apples, grapes and kiwi showed that market structure of these three products over the period 2001 to 2014 respectively are opened oligopoly, between opened and closed oligopoly and closed oligopoly. According to the results of ranking the targeted countries for these products, marketing action in main targeted countries will be suggested by using MOUs preferential and bilateral action to prepare necessary conditions for changing the export pattern and achieving the proposed model.

Development as a main concern of the governors, politicians, socio-economic planners has attracted so many attentions and regional differences in the process of national development are a main field of policy-making and planning. It is true that when the polarization of development is continued and caused to make a gap between their per capita income and other areas. Regional differences between the cities in West Azerbaijan Province have caused to evaluate development and underdevelopment of this area by using formal statistics and statistical model of numerical taxonomy. The results represent that closeness to international borders has no effect on the development, but linguistic and ethnic differences are a determinant factor in the level of development in these cities.

The purpose of this study is to present an integrated framework for assessment and ranking of 23 Iranian industrial sectors, based on several productivity indicators during the years 80 to 85. The integrated approach of this study is based on "principal component analysis" (PCA).The validity of the model is verified and validated by numerical "taxonomy". Furthermore, the non- parametric correlation methods, namely, Kendall-Tau correlation experiments shows high level of correlation between the findings of PCA and “taxonomy” and the approach of this study may be used to assess the importance of each of the selected indicators for industrial units of interest. It is observed that the sectors: "Coke, refined petroleum products" (code 23), " Chemicals and chemical products"(code 24), and " Basic metals" (code 27), have the three top grades in the ranking while the sectors:" Wearing apparel, fur" (code 18), "Textiles" (code 17) and "Furniture, manufacturing" (code 36) have the weakest grades in the ranking. Furthermore, the most important productivity indicators are: Value added to salaries and wages- value added per employee-value added to energy cost- production value per employee-production value to salaries and wages and value added to total input.

Production advantage measuring is a branch of economics with strong linkages with microeconomics and macroeconomics. Regarding microeconomics, entrepreneurs try to choose places for their activities in which they can earn the highest profits. Also regarding macroeconomics, determination of regional advantages is important, because of its effects on optimal allocation of resources in the economy. In this paper we rank Iranian provinces according to their advantage levels for dairy industry. Thus firstly theories and models of advantage measuring and its factors were reviwed. Then because of the numerous factors influencing growth and development of this industry, multi-criteria models were surveyed and evaluated, among which, two models- weighted numerical taxonomy and AHP- were choosen for determination of advantage level of Iranian provinces subject to dairy industry. Then by collecting the necessary data and calculating importance coefficients for advantage determination factors- using the industry experts ideas, around the country- we ran the relative models and surveyed the results. The results of this paper show that Tehran and after it, Qom, Qazvin, Guilan and Khozestan have the most advantage level for dairy industry development. Also the correlation coefficient between province rankings with WNT and AHP calculated about 0.93 which suggests the high capability of substitution between these two methods. In fact these methods with high degree of reliability, confirm each other.