George Mavrotas

Bio: George Mavrotas is an academic researcher from University of Antwerp. The author has contributed to research in topics: Aid effectiveness & Financial sector development. The author has an hindex of 26, co-authored 111 publications receiving 2793 citations. Previous affiliations of George Mavrotas include International Food Policy Research Institute & Center for Global Development.

FDI and Growth: What Causes What?

Abstract: This paper examines the causal relationship between FDI and economic growth by using an innovative econometric methodology to study the direction of causality between the two variables. We apply our methodology, based on the Toda-Yamamoto test for causality, to time-series data covering the period 1969–2000 for three developing countries, namely Chile, Malaysia and Thailand, all of them major recipients of FDI with a different history of macroeconomic episodes, policy regimes and growth patterns. Our empirical findings clearly suggest that it is GDP that causes FDI in the case of Chile and not vice versa, while for both Malaysia and Thailand, there is a strong evidence of a bi-directional causality between the two variables. The robustness of the above findings is confirmed by the use of a bootstrap test employed to test the validity of our results.

Old Wine in New Bottles: Testing Causality between Savings and Growth

Abstract: The paper uses the methodology of Toda and Yamamoto to test for causality between growth and savings in order to avoid problems and possible misleading inferences associated with the asymptotic nature of Granger causality testing in time-series studies. The relationship between gross domestic product, gross domestic savings and private savings was examined for India and Sri Lanka. We found no causality between GDP growth and private savings in India, while it appears that there is bidirectional causality between private savings and growth in Sri Lanka. We conclude that existing "evidence" on the subject should be treated with caution, given the inappropriateness of the econometric methodology adopted in most of the previous empirical studies using time-series data. Copyright 2001 by Blackwell Publishers Ltd and The Victoria University of Manchester

FDI and Growth : a Causal Relationship

Abstract: The paper examines the causal relationship between FDI and economic growth by using an innovative econometric methodology to study the direction of causality between the two variables. We apply our methodology, based on the Toda-Yamamoto test for causality, to time-series data covering the period 1969-2000 for three developing countries, namely Chile, Malaysia and Thailand, all of them major recipients of FDI with a different history of macroeconomic episodes, policy regimes and growth patterns. Our empirical findings clearly suggest that it is GDP that causes FDI in the case of Chile and not vice versa, while for both Malaysia and Thailand, there is a strong evidence of a bi-directional causality between the two variables. The robustness of the above findings is confirmed by the use of a bootstrap test employed to test the validity of our results.

Foreign aid and fiscal response: Does aid disaggregation matter?

Abstract: Foreign Aid and Fiscal Response: Does Aid Disaggregation Matter? —The present paper constitutes a new approach in the aid-effectiveness literature in two important respects. Firstly, it develops and then tests a model of foreign aid and fiscal response, which, for the first time in the aid-effectiveness literature, embraces the aiddisaggregation issue; we do this by disaggregating aid flows into three main components, namely programme aid, project aid and technical assistance, and by subsequently estimating our model for two countries, India and Kenya. Secondly, on the modelling front, we improve on earlier work in this area by using an appropriate specification for the recipient-country government’s welfare function, with significant positive implications for the empirical findings obtained. This new approach adopted in the paper and the empirical results obtained may have important implications for a better understanding of the fiscal impact of aid in aid-recipient countries.

Natural Resource Dependence and Economic Performance in the 1970–2000 Period

Abstract: We look at the type of natural resource dependence and growth in developing countries Certain natural resources called point-source, such as oil and minerals, exhibit concentrated and capturable revenue patterns, while revenue flows from resources such as agriculture are more diffused Developing countries that export the former type of products are regarded prone to growth failure due to institutional failure We present an explicit model of growth collapse with micro-foundations in rent-seeking contests with increasing returns Our econometric analysis is among the few in this literature with a panel data dimension Point-source-type natural resource dependence does retard institutional development in both governance and democracy, which hampers growth The resource curse, however, is more general and not simply confined to mineral exporters

Stock markets, banks and economic growth

Abstract: This thesis investigates the relationship between economic growth and financial development in developing countries over 1988-2001. Previous studies have generally used averaged data, for both developing and developed countries, and inappropriate estimation methods. In an attempt to reach some definitive conclusions, Generalised Method of Moments dynamic estimation is used with a newly collected panel of annual data to assess the relationship. The results show that while banks performance has a negative impact on growth, stock markets positively promote growth. To reach an overall conclusion about the impact of finance on growth and to solve the problems associated with the existence of multicollinearity among the different measures of financial development, principal components analysis is used to generate new, comprehensive measures of financial development. In assessing the link between the new measures and financial development and growth, the results support the existence of an overall positive relationship. The thesis also examines the behaviour of interest rates in developing and industrialised countries using individual and panel unit root tests. The results are sensitive to the choice of the test, country and time unit.

Counting Chickens When They Hatch: The Short-term Effect of Aid on Growth

Abstract: Past research on aid and growth is flawed because it typically examines the impact of aggregate aid on growth over a short period, usually four years, while significant portions of aid are unlikely to affect growth in such a brief time. We divide aid into three categories: (1) emergency and humanitarian aid (likely to be negatively correlated with growth); (2) aid that affects growth only over a long period of time, if at all, such as aid to support democracy, the environment, health, or education (likely to have no relationship to growth over four years); and (3) aid that plausibly could stimulate growth in four years, including budget and balance of payments support, investments in infrastructure, and aid for productive sectors such as agriculture and industry. Our focus is on the third group, which accounts for about 53% of all aid flows. We find a positive, causal relationship between this “short-impact” aid and economic growth (with diminishing returns) over a four-year period. The impact is large: at least two-to-three times larger than in studies using aggregate aid. Even at a conservatively high discount rate, at the mean a $1 increase in short-impact aid raises output (and income) by $1.64 in present value in the typical country. From a different perspective, we find that higher-than-average short-impact aid to sub- Saharan Africa raised per capita growth rates there by about half a percentage point over the growth that would have been achieved by average aid flows. The results are highly statistically significant and stand up to a demanding array of tests, including various specifications, endogeneity structures, and treatment of influential observations. The basic result does not depend crucially on a recipient’s level of income or quality of institutions and policies; we find that short-impact aid causes growth, on average, regardless of these characteristics. However, we find some evidence that the impact on growth is somewhat larger in countries with stronger institutions or longer life expectancies (better health). We also find a significant negative relationship between debt repayments and growth. We make no statement on, and do not attempt to measure, any additional effect on growth from other categories of aid (e.g., emergency assistance or aid that might affect growth over a longer time period); four-year panel regressions are not an appropriate tool to examine those relationships.