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Lack of global convergence and the formation of multiple welfare clubs across countries : an unsupervised machine learning approach

Mendez, Carlos - In: Economies : open access journal 7 (2019) 3/74, pp. 1-17

The cross-country convergence hypothesis is one of the central topics of long-run macroeconomics. This paper revisits this hypothesis in a context beyond GDP. It uses a novel welfare index that incorporates measures of consumption, leisure, life expectancy, and inequality. Based on a sample of...

Persistent link: https://www.econbiz.de/10012029342

Evaluating the conditional convergence hypothesis in the post-1989 globalization period

Nell, Kevin S. - In: Applied economics 52 (2020) 30, pp. 3308-3326

Persistent link: https://www.econbiz.de/10012258839

Conditional divergence in the post-1989 globalisation period

Nell, Kevin S. - 2018

Persistent link: https://www.econbiz.de/10011935067

Convergence of CO2 emissions in countries at different stages of development : do globalisation and environmental policies matter?

Borowiec, Justyna; Papież, Monika - In: Energy policy : the international journal of the … 184 (2024), pp. 1-13

Persistent link: https://www.econbiz.de/10014454894

A note on changing regulation in international business : the world intellectual property organization (WIPO) and artificial intelligence

Alvarez-Risco, Aldo; Del-Aguila-Arcentales, Shyla - In: The multiple dimensions of institutional complexity in …, (pp. 363-371). 2021

Persistent link: https://www.econbiz.de/10012589103

Artificial intelligence in the context of global resource mobility : what can be expected from it?

Piasecki, Ryszard; Wolnicki, Miron; Betancourt, Erico Wulf - In: Comparative economic research : Central and Eastern Europe 24 (2021) 3, pp. 93-107

The impact of artificial intelligence (AI) on business, government, and society is getting more attention. The leading AI sectors have higher productivity but a lower share of GDP than those lagging in digitization and AI. There is a technological gap, with still unknown consequences concerning...

Persistent link: https://www.econbiz.de/10012666920

Data, global development, and COVID-19 : lessons and consequences

Naudé, Wim; Vinuesa, Ricardo - 2020

The COVID-19 pandemic holds at least seven lessons for the relationship between data-driven decision making, the use of artificial intelligence, and development. These are that (1) in a global crisis, the shifting value of data creates policy pitfalls; (2) predictions of crises and how they play...