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Investigating the Role of the Components of the Knowledge-Based Economy in Iran Present Situation and the Vision Plan Countries Using Multiple- Group Discriminant Analysis and K-Mean Differentiation Analysis | ||
| Industrial Management Journal | ||
| مقاله 8، دوره 10، شماره 3، 2018، صفحه 481-501 اصل مقاله (1.12 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/imj.2018.266596.1007490 | ||
| نویسندگان | ||
| jafar roodari1؛ mohsen zayandehroody* 2؛ hossein mahrabi3 | ||
| 1Ph.D Candidate in Economy, Faculty of Management and Economic, Islamic Azad University, Kerman Branch, Iran. | ||
| 2Assistant prof. In Economy, Faculty of Management and Economic, Islamic Azad University, Kerman Branch, Iran | ||
| 3Prof. in Agricultural Economic, Faculty of Shahid Bahonar University, Kerman, Iran. | ||
| چکیده | ||
| Objective: One of the long-term goals and strategies of the country for development in the 20-year vision plan is the development of the knowledge-based economy, so that with pursuing this strategy, Iran could become a knowledge-based economy by 1404. The purpose of this research is to explain the economic status of Iran among regional competitors based on the components of knowledge-based economy. Methods: This study was based on World Bank documentation using clustering methods based on the K-Mean algorithm and Multiple- Group Discriminant Analysis with the aim of calculating the knowledge-based economy index and determining the components and criteria of each country studied between1995and 1995. It should be noted that the under-study countries are clustered into three groups based on 14 variables in the form of four components of knowledge-based economy. Results: The results of the k-mean method showed that the variables of cell phone users, the quality of regulations, the number of Internet users per thousand ones, the number of telephone lines per thousand ones, and the number of Internet users per thousand ones played the most important role in separating the clusters. For the Multiple- Group Discriminant Analysis method, in the first differentiation function, the variables of the quality of regulation, the number of Internet users per thousand ones, cell phone users, and in the second differentiation function, the variables of tariff and non-tariff barriers, rule of law, the number of telephone lines per thousand ones have the most importance in creating a distinction between different groups of countries. Conclusion: During 1995-1995, Iran has not seen significant progress in terms of knowledge-based economy index, and in the second group of countries (the average level), it has been considered as a composite index of the knowledge-based economy. | ||
| کلیدواژه‌ها | ||
| Knowledge-based Economy؛ Multiple- group discriminate analysis؛ K-Means method | ||
| مراجع | ||
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