Patterns of specialization and economic complexity through the lens of universal exhibitions, 1855-1900

Domini, Giacomo

doi:10.1016/j.eeh.2021.101421

Cited by 10 publications

(11 citation statements)

References 41 publications

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“…Economic growth. Economies with high levels of complexity relative to their GDP per capita are known to experience faster long-term economic growth [15][16][17][18][19][20][21][22][23][24] . The idea is that higher complexity economies can participate in sophisticated sectors that support higher wages.…”

Section: Resultsmentioning

confidence: 99%

“…Fourth, these results cannot be readily generalized to other geographic scales, such as states and provinces. For instance, while future economic growth has been shown to correlate with the complexity of countries 13,15,17,20,23 and regions 64 , the relationship between complexity and inequality is known to reverse at the regional scale 21,[65][66][67][68] . Thus, this approach cannot tell us much about regional effects, which could be different from those observed on the international scale 21,[68][69][70][71] .…”

Section: Discussionmentioning

confidence: 99%

“…Economic complexity methods provide a solution to this problem 13,14 by leveraging data on the geographic distribution of economic activities to estimate the implicit presence of multiple factors. These estimates have been validated by their ability to explain international variations in economic growth [15][16][17][18][19][20][21][22][23][24] , income inequality [25][26][27] , and emissions [28][29][30][31] . The reason why complexity metrics work is that they capture information about productive structures that escapes simple aggregate metrics, such as GDP or market concentration indexes.…”

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confidence: 99%

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Multidimensional economic complexity and inclusive green growth

Stojkoski

Koch

Hidalgo

2023

Commun Earth Environ

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To achieve inclusive green growth, countries need to consider a multiplicity of economic, social, and environmental factors. These are often captured by metrics of economic complexity derived from the geography of trade, thus missing key information on innovative activities. To bridge this gap, we combine trade data with data on patent applications and research publications to build models that significantly and robustly improve the ability of economic complexity metrics to explain international variations in inclusive green growth. We show that measures of complexity built on trade and patent data combine to explain future economic growth and income inequality and that countries that score high in all three metrics tend to exhibit lower emission intensities. These findings illustrate how the geography of trade, technology, and research combine to explain inclusive green growth.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Multidimensional economic complexity and inclusive green growth

Stojkoski

Koch

Hidalgo

2023

Commun Earth Environ

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“…It began with the discovery of their ability to predict future economic growth using international trade data (Hidalgo & Hausmann, 2009;Hausmann et al, 2014). This finding was soon replicated in different studies reinforcing the idea that complexity explains a great part of economic growth and competitiveness (Ourens, 2012;Poncet & de Waldemar, 2013;Erkan & Yildirimci, 2015;Stojkoski et al, 2016;Chávez et al, 2017;Tacchella et al, 2018;Domini, 2019). The ECI mathematical framework has also provided the tool to explain other social variables as technology development levels or employment distribution (Petralia et al, 2017;Wohl, 2020).…”

Section: Economic Complexitymentioning

confidence: 89%

“…Overall, new metrics have improved ECI's capacity to explain different social variables of relevance (to cite some of them: (Tacchella et al, 2012(Tacchella et al, , 2013Cristelli et al, 2013;Ivanova et al, 2017Ivanova et al, , 2019Ivanova et al, , 2020Gala et al, 2018)). ECI variants continue to show their capacity to make useful predictions on economic growth (Hidalgo, 2015;Hausmann et al, 2014;Ourens, 2012;Poncet & de Waldemar, 2013;Chávez et al, 2017;Tacchella et al, 2018;Domini, 2019;Stojkoski et al, 2016), income inequality (Hartmann et al, 2017;Zhu et al, 2020;Sbardella et al, 2017;Fawaz & Rahnama-Moghadamm, 2019) and even environmental performance (Neagu & Teodoru, 2019;Can & Gozgor, 2017;Mealy & Teytelboym, 2020;Romero & Gramkow, 2021;Boleti et al, 2021).…”

Section: Economic Complexitymentioning

confidence: 99%

Economic Complexity and Information Society Paradigms: A Hybrid Contribution to Explain Economic Growth

Jurado-González

Gómez-Barroso

2022

Technological and Economic Development of Economy

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In the last decades, the Information Society (IS) paradigm has brought together various research lines related to the diffusion and adoption of Information and Communication Technologies (ICTs) and their contribution to economic, social and human development. On the other hand, other research lines have recently explored the phenomenon of Economic Complexity (EC), providing new metrics to quantify this decisive factor for the prediction of economic growth and other human relevant variables. This article explores these two trends with the construction of two composite indexes. Then, it evaluates their explanatory power to predict economic growth, first separately, and afterwards together. The results show they can predict economic growth and improve their predictive capacity by working combined. In the conclusions, some difficulties and challenges for the development of these metrics are analyzed.

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Asymmetric impacts of renewable energy consumption and economic complexity on economic growth in Saudi Arabia: evidence from the NARDL model

Mighri

Alsaggaf

2022

Environ Sci Pollut Res

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This paper examines the asymmetric impacts of both renewable energy consumption and economic complexity on Saudi Arabia's economic growth in a nonlinear autoregressive distributed lag (NARDL) framework. Symmetric and asymmetric causality tests are also used to test the direction of the causal relationships between the variables. The NARDL model is estimated using quarterly data over the period 2000Q1-2015Q4. The results indicate that the long-term impact of a negative shock in renewable energy consumption on economic growth is significantly negative, while the short-term impact of either positive or negative shocks has a significant positive effect. Moreover, both positive and negative shocks in economic complexity have significant negative effects on economic growth in the long term, while economic growth is only affected by the negative change in economic complexity in the short term. Meanwhile, the symmetric/asymmetric causality nexus between positive/negative shocks to either renewable energy consumption or economic complexity and positive/negative shocks to economic growth is found to be neutral.

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Patterns of specialization and economic complexity through the lens of universal exhibitions, 1855-1900

Cited by 10 publications

References 41 publications

Multidimensional economic complexity and inclusive green growth

Multidimensional economic complexity and inclusive green growth

Economic Complexity and Information Society Paradigms: A Hybrid Contribution to Explain Economic Growth

Asymmetric impacts of renewable energy consumption and economic complexity on economic growth in Saudi Arabia: evidence from the NARDL model

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