For proponents of the view that anthropogenic climate change will become a 'threat multiplier' for instability in the decades ahead, the Syrian civil war has become a recurring reference point, providing apparently compelling evidence that such conflict effects are already with us. According to this view, human-induced climatic change was a contributory factor in the extreme drought experienced within Syria prior to its civil war; this drought in turn led to large-scale migration; and this migration in turn exacerbated the socio-economic stresses that underpinned Syria's descent into war. This article provides a systematic interrogation of these claims, and finds little merit to them. Amongst other things it shows that there is no clear and reliable evidence that anthropogenic climate change was a factor in Syria's pre civil war drought; that this drought did not cause anywhere near the scale of migration that is often alleged; and that there exists no solid evidence that drought migration pressures in Syria contributed to civil war onset. The Syria case, the article finds, does not support 'threat multiplier' views of the impacts of climate change; to the contrary, we conclude, policymakers, commentators and scholars alike should exercise far greater caution when drawing such linkages or when securitising climate change. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.orgflicensesiby/4.0/)
This paper explores two questions. First, can Preferential Trade Agreements (PTAs) affect industrial development in developing countries? Second, does it matter for developing countries whom they sign the PTAs with? We find that the answer to both questions is yes. Using bilateral manufactured goods exports data from 28 developing countries during 1978-2005, we find that South-South PTAs have a significantly positive effect on manufactured goods exports. In contrast, no such effect is detected in the case of South-North PTAs. We confirmed the robustness of these findings to estimation methodology, sample selection, time period, zero trade flows, and multilateral trade resistance. JEL Classification Codes: F13; F14; F15; O14; O24; L60
Using bilateral trade data in total and technology-and-skill-intensive manufactured goods for 28 developing countries that account for 82% of all developing country manufactures exports between 1978 and 2005, this paper explores the effects of financial development on the pattern of specialization in South-South and South-North trade. The empirical results using dynamic panel regressions and comprehensive sensitivity tests suggest that financial development in the South has an economically and statistically significant positive effect on the share of total and technology-andskill-intensive manufactures exports in GDP, and total exports in South-South trade. In contrast, no such significant or robust effect of financial development is found in South-North trade. Overall, the positive effect of financial development is found to be asymmetric favoring South-South significantly more than South-North trade. In addition, financial development is found to be increasing technologyand-skill-intensive manufactured goods exports significantly more than total manufactured or merchandise goods exports. JEL Classification Codes: F14; F15; G10; O16; O54
We investigate the effects of real exchange rate uncertainty and financial depth on manufactures exports from 28 emerging economies to the North and South over 1978-2005. We estimate a dynamic panel model using system GMM approach and show that for the majority of countries in our sample exchange rate uncertainty affects both South-South and South-North trade negatively. Furthermore, for several cases we discover that this effect is unidirectional, that is South-South or South-North. In addition, we find that while financial depth plays a tradeenhancing role, exchange rate shocks can negate this effect. We also show that trade among developing economies is likely to enhance export growth.
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.