Determinants of high-tech export in developing countries based on Bayesian model averaging

被引:15
作者
Mehrara, Mohsen [1 ]
Seijani, Samaneh [1 ]
Karsalari, Abbas Rezazadeh [2 ]
机构
[1] Univ Tehran, Fac Econ, North Kargar St, Tehran, Iran
[2] Islamic Azad Univ, Dept Management, Tafresh Branch, 39517-36167 Moalem Sq, Tafresh, Markazi, Iran
来源
ZBORNIK RADOVA EKONOMSKOG FAKULTETA U RIJECI-PROCEEDINGS OF RIJEKA FACULTY OF ECONOMICS | 2017年 / 35卷 / 01期
关键词
high technology export; Bayesian model averaging; weighted-average least square; developing countries; NATURAL-RESOURCE ABUNDANCE; RESEARCH-AND-DEVELOPMENT; INTERNATIONAL-TRADE; SOPHISTICATION; INVESTMENT; INNOVATION;
D O I
10.18045/zbefri.2017.1.199
中图分类号
F [经济];
学科分类号
02 ;
摘要
Given the importance and role of high-tech exports in economic growth, it is necessary to identify variables affecting export. Accordingly, in this article we studied the determinants of export for 24 developing countries during the period 1996 to 2013 based on Bayesian Model Averaging (BMA) and Weighted-Average Least Square (WALS) technique. The results show that rule of law as a proxy for Institutional quality, human capital, import (as a measure of openness) and GDP with posterior inclusion probability 100% are the most important variables influencing the high-technology export in developing countries.
引用
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页码:199 / 215
页数:17
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