Capital Openness and Income Inequality: A Cross-Country Study and the Role of CCTs in Latin America

Author(s):  
Guillermo LaGarda ◽  
Jennifer Linares ◽  
Kevin P. Gallagher
1993 ◽  
Vol 2 (2) ◽  
pp. 41-65 ◽  
Author(s):  
Moritz Kraemer ◽  
Jörg Hartmann

This paper examines passible causes for the acceleration of tropical deforestation and the role of a popular instrument to reverse this trend, debt-for-nature swamps (DNS). This instrument builds on the contention that the debt crisis of developing countries has created the need to exploit natural resources, such as tropical forest areas. Thus, DNS could potentially protect forests directly (through conservation projects) and indirectly (by reducing debt-induced pressure on the forests). First, an instrumental critique of DNS is given, followed by an empirical examination of the debt-deforestation link that stands behind the instrument of DNS. Neither this nor other plausible causes of the acceleration of deforestation can be identified as significant in a cross-country study. The paper concludes that appropriate policy instruments must be based on case-specific research.


Author(s):  
Muhammad Taufik Radhianshah ◽  
Akhmad Syakir Kurnia

Financial globalization has evolved from domestic policy to international scope policy. One of its form is Capital account liberalization which we can observe from the declining number of restrictions among countries for cross-border financial transaction, and the increasing level of capital flow between countries. Europe cross-country financial transaction has been increasing for the last three decades and this increase happened simultaneously with the increase of income inequality as measured with Gini index. This condition gives impression that there is a positive correlation between income inequality and capital account liberalization. This research aims to study whether income inequality corresponds to the increase of capital account liberalization in 28 Europe countries. Furthermore, this research seeks to understand the role of institutional quality and financial depth as threshold variables. By employing System GMM Estimator on balanced panel data, this study finds that capital account liberalization positively correlated with income inequality and institutional quality proven to be important threshold variable. These findings emphasize the urgency for policy maker to consider institutional quality before or during the implementation of capital account liberalization.


Author(s):  
Sara Kinsbergen ◽  
Marieke Pijnenburg ◽  
Tom Merlevede ◽  
Luca Naus ◽  
Dirk-Jan Koch

AbstractThe COVID-19 pandemic presents Northern-based development organisations with unprecedented difficulties. They are challenged in fundraising opportunities in their home countries and in finding ways to continue their work in the Global South. As the first study to present a systematic mixed method, cross-country study of small-scale, voluntary development organisations in four different European countries, this study provides insight into the role of these private development initiatives (PDIs) in the COVID-19 crisis and sheds light on the differential impact of the crisis on these organisations. Whereas most PDIs are involved in long(er)-term development interventions, the COVID-19 crisis was for most organisations their first experience of emergency aid. Overall, we see strong resilience among PDIs and also find that the organisations which relied more exclusively on traditional methods of fundraising (offline) received a greater funding hit than organisations—often with more younger members—that had already moved to online fundraising.


2001 ◽  
Vol 39 (3) ◽  
pp. 771-799 ◽  
Author(s):  
Anthony B Atkinson ◽  
Andrea Brandolini

This paper examines the role of secondary data-sets in empirical economic research, taking the field of income distribution as a case study. We illustrate problems faced by users of “secondary” statistics, showing how both cross-country comparisons and time-series analysis can depend sensitively on the choice of data. After describing the genealogy of secondary data-sets on income inequality, we consider the main methodological issues and discuss their implications for comparisons of income inequality across OECD countries and over time. The lessons to be drawn for the construction and use of secondary data-sets are summarized at the end of the paper.


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