Economic Development
mahya allahgholi; Farshad Moameni
Abstract
Considering the economic complexity index as a development index due to its greater estimation power in predicting economic growth and income inequality compared to similar indices, along with shortcomings such as the inability to express the difference in the complexity levels of economies, it makes ...
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Considering the economic complexity index as a development index due to its greater estimation power in predicting economic growth and income inequality compared to similar indices, along with shortcomings such as the inability to express the difference in the complexity levels of economies, it makes the theoretical model to explain this index inevitable. In the social orders approach, the type of social order is mentioned as the difference between developed and developing economies, and in this article an attempt has been made to identified determinants of this index. In this study by descriptive analytical method the state of property rights, the business environment and the type of people`s access to organizations are known as three variables affecting this index. analyzing Iran`s economic complexity index during 10-period (2010-2020) and three indexes, international property rights, ease of doing business and economic freedom, respectively as an estimation of those variables, shows that the international property rights index has a stronger positive relationship with the economic complexity index than the other two indices.
Mojgan Samandar Ali Eshtehardi; Naser Ali Azimi; Behrooz Shahmoradi
Abstract
Moving towards a knowledge-based economy, in which growth depends on the quantity, quality, and availability of existing information, is of great importance. The amount of technological knowledge available in a country reflects the level of development. One of the most reliable indicators for measuring ...
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Moving towards a knowledge-based economy, in which growth depends on the quantity, quality, and availability of existing information, is of great importance. The amount of technological knowledge available in a country reflects the level of development. One of the most reliable indicators for measuring the amount of technological knowledge of countries is the Economic Complexity Index. The research attempts to examine the causal relationship between the economic complexity and the components of the knowledge economy. To this end, a panel data model was used. The data consists of 113 countries over the period 2016-2006. For the knowledge economy, we used fourteen variables, which were introduced by the World Bank. By employing Principle Component Analysis, four components were calculated as indicators of the four knowledge economic pillars. Then, the Granger causality relation of these components with the economic complexity was investigated. The result shows that there is a two-way causal relationship between the components of Education, Communication and Information Technology, Economic Institution and economic complexity, and one-way causal relationship from Innovation to Economic complexity. Furthermore, the causal relationship varies among OECD and non-OECD countries.
