MILITARY EXPENDITURE AND ECONOMIC GROWTH IN DEVELOPING COUNTRIES: EVIDENCE FROM SYSTEM GMM ESTIMATES

The effect of military expenditure on economic growth in developing countries has been investigated by many empirical literatures. However, there is little consensus of that effect and the diversity seems to come from the use of different models and different estimators. This article applies the Augmented Solow Growth Model to examine the influence of military expenditure on economic growth for 35 developing countries over the period of 1975–2009. By using the system Generalized Method of Moments (GMM) estimators, empirical results indicate that defence has a negative and significant effect on economic growth in the sample countries.     

浅谈现代军事物流及其发展趋势

随着我国社会主义市场经济的蓬勃发展和世界新军事革命的兴起,我国军事物流日益引起人们的重视。同时,也面临着历史性的机遇和挑战。本文结合我国军事物流建设现状,就现代军事物流的科学内涵、地位作用、理想形态及发展趋势进行了论述,旨在为新时期军事物流的建设与发展提供理论依据。     

ON THE USE OF TERROR WEAPONS VERSUS MODERN WEAPON SYSTEMS IN AN ARMS RACE BETWEEN DEVELOPED AND LESS DEVELOPED COUNTRIES

Some of the most active arms races are taking place between developed and less developed countries. The inability of less developed countries to compete financially, as well as technologically, with developed countries may be forcing the former to acquire terror weapons (TWP). The Iran–Iraq war in the 1980s and the events of 9/11 proved that the use of TWP is no longer a mere threat; there are several organizations and countries that will not hesitate to use them. This study develops a model of resource allocation in an arms race between a developed country that is characterized by state‐of‐the‐art technology and high GDP, and a less developed country whose technological capability and GDP are much lower. The model is used to predict the optimal mix of weapons of the two countries that are engaged in the arms race. Applying the model to the arms race between Israel and Syria demonstrates its use.     

The demand for military spending in developing countries: A dynamic panel analysis∗

Estimating demand functions for developing countries before and after the end of the Cold War, Dunne and Perlo-Freeman (2003) found little evidence of any change in the underlying relationship. One concern with their analysis was that the use of cross-section averages might have obscured important time series effects. This paper deals with this issue by analysing their data using static and dynamic panel data methods. This produces evidence of a change in relationship and suggests that the focus in the literature on cross-section analyses has indeed limited our understanding of important dynamic processes at work within countries.     

Terrorism and the macroeconomy: Evidence from Pakistan

Pakistan with highest number of terrorism related deaths of any country over the past decade, the number exceeding the total terrorism related deaths for both the European and North American continents, provides an ideal laboratory to study impact of terrorism on the macroeconomy. Quasi-Structural VAR, Vector Error Correction Model, Impulse Response Functions and Granger-Causality tests on a sample that covers over 4500 terrorist incidents and consequent 10, 200 deaths [from 1973 to 2010] are employed to study the relationship between terrorism and the macroeconomy. One of the major advantages of the current methodology is that it not only enables one to circumvent the heterogeneity biases inherent in cross-country studies but it also allows distinguishing between short and long-run effects. It is documented that cumulatively terrorism has cost Pakistan around 33.02% of its real national income i.e. terrorism costs Pakistan around 1% of real GDP per capita growth every year.