جستجوی مقالات مرتبط با کلیدواژه "panel data" در نشریات گروه "صنایع"

Research and development is an important economic issue that causes technological changes and therefore has a significant role in development of technology and increasing value added. In this study, the effect of RD efforts on value added of Iranian industries is investigated by applying panel data method. The results indicate that internal RD expenditure has a significant and positive effect on value added of Iranian industries. Therefore, the policy recommendations of this study suggest that the government should support RD efforts of industries in order to improve their technologies and production methods.

Identification of the change point in panel data leads practitioners to focus on the time when really a change takes place in the cross sectional data. Identification of the time helps one to provide a more realistic analysis of the change manifested itself to the process. Different methods of change point identification have been proposed in literature, however, the literature addressees that the sensitivity of identifying the change point is an important issue. This paper attempts to propose a new method with high sensitivity for identifying the change point in a panel data (with large dimension) through a hybrid approach. The proposed method is named Double CUSUM-EWMA. The comparative report addresses that the performance of the proposed method has relatively better performance compared to the existing methods in the literature. This study analyzes several simulated numerical examples with large dimension of panel data when a step shift manifests itself to the process.

Knowledge based economies are more strongly dependent on the production, distribution and use of knowledge than ever before. Output and employment are expanding fastest in high-technology industries, such as computers, electronics and aerospace. High-tech refers to technology that is at the cutting edge and the most advanced technology available. High technology industries and services are central part of knowledge-based economy, and one of the main economic indicators for measure the knowledge in economic. In this paper, we introduce the principles and indicators of high-tech industries and analysis effect of the knowledge-based economy variables (ICT, R&D and Education expenditures) on their production. We have developed a model of high-tech industries production. This model has been estimated for 48 countries in 2000-2007 with using GLS Panel Data Approach. The results of the analysis show a positive and significant effect of ICT, R&D and education on high-tech industries. Elasticity calculation shows one percent increase in R&D will result 0.48 present increases in high-tech industrial production, Also one percent increase in ICT will result 0.68 present increases in high-tech industrial production and finally one percent increase in Education will result 0.29 percent increase on high-tech industrial production. So we require a lot of attention to R&D, ICT and Education in program and policy development of high tech industries.

One of the most important discussions in recent decades is human capital. Human capital in other words quality of labor or institutionalization knowledge in human, increased production and economic growth. Although human capital has been discussed since the classical economists but, it has been discussed in recent decades, modeling and presentation a national model of economic growth that, human capital has been considered in them. As the classical production was assumed the function of labor and capital, the quality factor of labor or human capital must be entered in this function, too. According to the impact of human capital and technological knowledge on economic growth is no secret. This study sought to measurement the impact of human capital promotion on economic growth in selected countries of OPEC. Various economists for measure human capital have used different indicators one of them is the size of government expenditures for education. In this study, the rate of growth of government total education spending along with other influential variables (R&D Expenditure, Investment) with panel data approach for the period 1998 to 2007 is used. The research results of this method, indicate that impact coefficient of all variables have been expected based on theoretical and coefficient for all variables are significant and human capital has a positive effect on economic growth. Thus, According to the research findings, the human capital to increase labor skills and production capabilities that will increase productivity and production along with increased research and development in order to achieve higher economic growth it is recommended.