Hamid Sepehrdoust; Mohsen Tartar; Razieh Davarikish
Abstract
Export is one of the determinants of business development and sustainable economic growth, which in the modern economy is strongly influenced by superior technology and economic complexity index. Since scientific productivity provides the conditions for the acquisition of superior technology, therefore, ...
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Export is one of the determinants of business development and sustainable economic growth, which in the modern economy is strongly influenced by superior technology and economic complexity index. Since scientific productivity provides the conditions for the acquisition of superior technology, therefore, to the extent that export development can be tailored to the export-oriented characteristics of non-renewable sources in developing countries, the challenge is to what extent has the growth of scientific productivity been able to affect the export of high-tech in developing countries? The main purpose of this study is to investigate the impact of the scientific productivity index on high-tech exports of G15 developing countries during 2000-2018; using Panel Data Vector Autoregressive (PVAR) method. The results show that in a 10-yearly period, generating a shock in scientific productivity has a positive effect on high technology exports and over time the impact of increasing scientific productivity on high technology exports increases. Moreover, a positive shock in financial risk, initially leads to an ever-increasing export of high technology exports but the effects are not permanent and diminishes after about 4 years. The economic risk also has a positive effect on increasing high technology exports, while the impact of political risk is negligible on high technology exports in the long and short term. The results of variance decomposition also show that the variables with high technology export, economic risk and scientific productivity have the most impact on the high technology export respectively. Financial risk has little effect and political risk has the least impact on high-tech exports.
Dynamic Panel Data
Mohammad Reza Lotfalipour; Mohammad Hossein Mahdavi Adeli
Volume 6, Issue 24 , September 2016, , Pages 17-38
Abstract
Due to limitation of energy resources and its importance in the supply chain as the final products for consumers and inputs for manufacturers on the one hand, and On the other hand, due to the large fluctuations in prices and increased greenhouse gas emissions conservation policies and factors affecting ...
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Due to limitation of energy resources and its importance in the supply chain as the final products for consumers and inputs for manufacturers on the one hand, and On the other hand, due to the large fluctuations in prices and increased greenhouse gas emissions conservation policies and factors affecting supply and demand in recent decades have been considered by the scientific and policy communities. In this study, the relationship between energy consumption, export and economic growth in the industrial sector of the Iranian economy has been tested.For this purpose, the panel data of energy consumption, export and value added of the industrial sector in the ISIC 2-digit level detail over the years 2002 to 2012 were used. To study causality and dynamics between variables in the industrial sector the Toda-Yamamoto causality and vector error correction model were used. The results show bidirectional short-run, long-run and strong causality between variables, Except for one case that from exports to energy consumption and economic growth in the short run, there is no causality.
Akbar Komijani; Gholamali Haji
Volume 2, Issue 7 , September 2012, , Pages 20-9
Abstract
In this article growth resources for Iran will be assessed for the period of 1959 – 2010 in format of two models. In the first model in addition of labor and capital from export, government expenditure and terms of trade in the production process will be used as effective inputs. Inserting export ...
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In this article growth resources for Iran will be assessed for the period of 1959 – 2010 in format of two models. In the first model in addition of labor and capital from export, government expenditure and terms of trade in the production process will be used as effective inputs. Inserting export was because of offering improvement of production technique training of skilled labor and work wild improvement was because of open economy and also inserting government spending and also terms of trade was because of dependence of government budget to oil and open economy of country. In the second model, economy will be divided to, two sectors of export and non – export that each of these sectors has a separate production function. In this model growth not only occurs because of labor and capital in export sector but also reallocation of resources from non – export sector to export sector will be effective in growth. In both models there is a positive and significant relation between export and economic growth. In both models Bruesch-Godfrey statistic indicates to the lack of serial correlation between residual terms also Bruesch-Pagan-Godfrey statistic indicates to lack of infinite consistency residual term variance.
