Assessing the Effects of Military Expenditure on Growth

Military spending is an expenditure by governments that has influence beyond the resources it takes up, especially when it leads to or facilitates conflicts. This chapter provides an overview of the issues involved in analysing the effects of military spending on growth. It considers the alternative general economic theories that inform the development of models to undertake empirical analyses, and estimation issues in undertaking those analyses. The Feder-Ram model, the modified Solow and the endogenous growth models, are discussed in detail, before being estimated to illustrate the issues involved in estimating the models and to compare their performance.Military spending; growth; panels spending,semi-parametric estimation

Optimal Military Spending in the US: A Time Series Analysis

This paper extends previous work on the optimal size of government spend- ing by including nested functional decompositions of military spending into consumption and investment. Post World War II US data are then used to estimate nested non-linear growth models using semiparametric methods. As expected, investment in military and non-military expenditure are both found to be productive expenditures. Moreover there is little evidence to suggest that current military spending is having a negative impact on economic growth in the US, while civilian consumption only tends to have only a weak impact. This does not imply that society will necessarily bene?t from a reallocation of more spending to the military sector, nor that it is the best way to achieve economic growth. It does suggest that the US economy is not necessarily being hindered by its current military burden.Economic growth; productive state spending; military spending,semi-parametric estimation

Corruption, Military Spending and Growth

This paper considers the complementary effect of corruption and military spending on economic growth, analyzing both the direct impact of public spending and effect of allocating resources between categories of public spending within the framework of an endogenous growth model. The non-linearities that emerge from are the result of the links between the components of public spending, corruption and economic growth. The main findings of the empirical analysis confirm the expectation that corruption and military burden lower the growth rate of GDP per capita. They also suggest that when the the complementarity effect between military spending and corruption is omitted, as in most studies, the impact of military burden on economic performance is underestimated.corruption, military spending, development economics

Inclusive Institutions, Innovation and Economic Growth: Estimates for European Countries

This paper investigates the theoretical and empirical foundations of the links between inclusive institutions, innovation and economic growth. Its first contribution to the literature is to provide a non-scale R&D-based growth model incorporating negative externalities linked to low institutional quality that not only affect the productivity of private and human capital, but also constrain the diffusion of existing technological knowledge. In turn, these negative externalities reduce economic growth. The second contribution of this paper is to run estimates for a sample of European Union countries. Empirical analysis based on pooled long- and short-run estimates confirms the importance of private capital and technology as instruments to increase economic growth in European countries and suggests the existence of a positive relationship between inclusive institutions, innovation and economic growth. The estimates also show that market failures linked to the degree of market competition and to the level of network interaction in the economic system significantly condition the influence of formal institutions on private capital, technology and GDP growth

Institutions, Innovation and Economic Growth in European Countries

This paper provides an empirical analysis of the linkages between the quality of government institutions and economic growth in the European context, highlighting innovation as the intermediate variable that drives this interplay. We use a standard non-scale R&D-based growth model as a theoretical framework and estimate the balanced growth path of per capita GDP for a sample of European countries and the transitional dynamic after a technological shock. Empirical analysis confirms the importance of technology as an instrument for increasing economic growth and suggests that inclusive institutions strongly affect this impact across the European countries. The magnitude of the effect is high: inclusive institutions redouble the effect of a technological shock on the growth rate of per capita GDP. This result suggests that innovation policies should carefully take into account the institutional setting of the contexts in which they are implemented in order to be effective

Innovation, Growth and Quality of Life: a Theoretical Model and an Estimate for the Italian Regions

ABSTRACT. This paper carries out an explanatory investigation into the relationship between socio-institutional conditions, quality of life indicators and economic growth in the Italian regions. Previous studies stress the importance of institutional quality, social capital and social conditions in determining disparities between richer and poorer regions. Building on this literature, we consider a three-sector model of semi-endogenous growth with negative externalities depending on structural and institutional factors that affect the innovative capacity of regional systems (the “social externalities hypothesis”). Simulations based on the scaled stationary system confirm that endogenous socio-economic conditions are crucial for the successful translation of innovation into economic growth. It is suggested that generating a development strategy designed to improve social conditions and well-being in the poorer regions may yield dividends in terms of the effectiveness of public policy and economic development

Gender Inequality in the South African Labour Market: the Impact of the Child Support Grant

The Child Support Grant (CSG) represents one of the major cash transfer implemented in South Africa to address children's vulnerability and household poverty. This paper provides an evaluation of the impact of the CSG on gender inequality by evaluating the effect of the programme on the employment status of adult members of beneficiary households. We use data from the 2008, 2010-2011 and 2012 National Income Dynamics Study and apply a fuzzy regression discontinuity design that exploits the expansion in eligibility due to a discontinous change in the age eligibility criterion. The analysis considers two source of heterogeneity in the impact of the CSG on labour market, i.e. gender and household members receiving the Old Age Pension social grant. In addition, the evaluation identifies differing effects by number of treated children in beneficiary households. Overall, this evaluation shows that the CSG had a negative effect on the probability of being employed of the beneficiary household members and increased gender inequality by strongly discouraging women's employment

Corruption and the Effects of Economic Freedom

The predictions that economic freedom is beneficial in reducing corruption have not been found to be universally robust in empirical studies. The present work reviews this relationship by using firms' data in a cross-country survey and argues that approaches using aggregated macro data have not been able to explain it appropriately. We model cross-country variations of the microfounded economic freedom-corruption relationship using multilevel models. Additionally, we analyze this relationship by disentangling the determinants for several components of economic freedom because not all areas affect corruption equally. The results show that the extent of the macro-effects on the measures of (micro)economic freedom for corruption, identified by the degree of economic development of a country, can explain why a lack of competition policies and government regulations may yield more corruption. Estimations for Africa and transition economy subsamples confirm our conjectures