This paper comprehensively tests the export-led growth (ELG) hypothesis for Malaysia for the period 1955 - 90, using cointegration and causality testing based on Hsiao's synthesis of the Granger test and Akaike's minimum final prediction error criterion. The results provide support for the ELG hypothesis; aggregate exports Granger-cause real GDP and non-export GDP. This relationship is found to be driven by manufactured exports rather than by traditional exports.
Based on ‘endogenous’ growth theory, the paper examines the effect of trade liberalization on long-run income per capita and economic growth in Turkey. Although the presumption must be that free trade has a beneficial effect on long run growth, counter examples can also be found. This controversy increases the importance of empirical work in this area. Using the most recent data we employ multivariate cointegration analysis to test the long run relationship among the variables in hand. In a multivariate context, the effect of determinants such as increasing returns to scale, investment in human and physical capital are also included in both theoretical and empirical works. Our causality evidence between the long run growth and a number of indicators of trade liberalizations confirms the predictions of the ‘new growth theory’. However, the overall effect of the possible breaks and/or policy change and unsustainability in the 1990s looks contradictory and deserves further investigation. Copyright Springer 2005economic growth, openness, Turkey, F43, 024, 052, C5,
Abstract. This paper examines the impact of trade liberalisation on the long-run economic development as measured by the real GDP per capita in Turkey. Based on the 'endogenous' growth theory, we employ bivariate and multivariate cointegration analyses to test the long-run relationship among the relevant variables. Results for Turkey suggest a stable, joint long-run relationship among real GDP per capita, an index of trade liberalisation, human and physical capital in accordance with the 'endogenous' growth theory. Statistically significant error-correction terms provide further evidence that those variables are indeed cointegrated. This also implies causal effects.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.