The new resilience of emerging and developing countries: systemic interlocking, currency swaps and geoeconomics

The vulnerability/resilience nexus that defined the interaction between advanced and developing economies in the post-WWII era is undergoing a fundamental transformation. Yet, most of the debate in the current literature is focusing on the structural constraints faced by the Emerging and Developing Countries (EDCs) and the lack of changes in the formal structures of global economic governance. This paper challenges this literature and its conclusions by focusing on the new conditions of systemic interlocking between advanced and emerging economies, and by analysing how large EDCs have built and are strengthening their economic resilience. We find that a significant redistribution of ‘policy space’ between advanced and emerging economies have taken place in the global economy. We also find that a number of seemingly technical currency swap agreements among EDCs have set in motion changes in the very structure of global trade and finance. These developments do not signify the end of EDCs’ vulnerability towards advanced economies. They signify however that the economic and geoeconomic implications of this vulnerability have changed in ways that constrain the options available to advanced economies and pose new challenges for the post-WWII economic order

Fiji economic survey: low growth the new normal?

This article reviews the performance of the Fijian economy from 2015 to 2019. After several years of decent growth (around 5%), GDP growth fell to as low as 0.5% in 2019. Earlier hopes that a ‘new normal’ of GDP growth of around 5% per annum had been established have faded. The principle reason for this, it is argued, is a lack of business confidence, which is associated with the 2018 elections, but more fundamentally with a lack of faith in Fiji's political system. At the same time, the government has also been forced to embark on a course of fiscal consolidation, as announced in the 2019–2020 National Budget, due to disappointing revenue collections and undisciplined expenditure in earlier years. The banking sector is hamstrung by a lack of liquidity. This article is written to understand the Fijian economy pre‐COVID‐19, but with the sharp downturn in economic growth in particular due to the impact of the COVID‐19 virus on tourism—Fiji's most important sector—and no room for fiscal expansion, growth prospects in Fiji are currently not bright. An improved medium‐term outlook will require greater confidence (both political and economic) to increase investment, both foreign and domestic. Reforms to reduce the costs of doing business will also help

Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries

We investigate the geographical and socioeconomic determinants of childhood undernutrition in Malawi, Tanzania and Zambia, three neighboring countries in Southern Africa using the 1992 Demographic and Health Surveys. We estimate models of undernutrition jointly for the three countries to explore regional patterns of undernutrition that transcend boundaries, while allowing for country-specific interactions. We use semiparametric models to flexibly model the effects of selected so-cioeconomic covariates and spatial effects. Our spatial analysis is based on a flexible geo-additive model using the district as the geographic unit of anal-ysis, which allows to separate smooth structured spatial effects from random effect. Inference is fully Bayesian and uses recent Markov chain Monte Carlo techniques. While the socioeconomic determinants generally confirm what is known in the literature, we find distinct residual spatial patterns that are not explained by the socioeconomic determinants. In particular, there appears to be a belt run-ning from Southern Tanzania to Northeastern Zambia which exhibits much worse undernutrition, even after controlling for socioeconomic effects. These effects do transcend borders between the countries, but to a varying degree. These findings have important implications for targeting policy as well as the search for left-out variables that might account for these residual spatial patterns