Modelling sovereign debt ratings for sub-national governments: the case of Spain before and after the crisis

Pérez-Balsalobre, Santiago; Llano, Carlos

doi:10.1007/s10663-019-09470-5

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…Economic complexity has traditionally been studied considering the structure of the bipartite world trade network [ 3 , 4 , 6 – 11 ]. Recently, economic complexity has been studied at the regional level for China [ 12 ], Brazil [ 10 ], Mexico [ 13 ], Italy [ 14 ], Spain [ 15 ], Australia [ 16 ], the US and the UK [ 5 ]. Most of these regional complexity studies are done at very coarse grain level.…”

Section: Introductionmentioning

confidence: 99%

Economic complexity of prefectures in Japan

2020

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Every nation prioritizes the inclusive economic growth and development of all regions. However, we observe that economic activities are clustered in space, which results in a disparity in per-capita income among different regions. A complexity-based method was proposed by Hidalgo and Hausmann [PNAS 106, 10570-10575 (2009)] to explain the large gaps in percapita income across countries. Although there have been extensive studies on countries' economic complexity using international export data, studies on economic complexity at the regional level are relatively less studied. Here, we study the industrial sector complexity of prefectures in Japan based on the basic information of more than one million firms. We aggregate the data as a bipartite network of prefectures and industrial sectors. We decompose the bipartite network as a prefecture-prefecture network and sector-sector network, which reveals the relationships among them. Similarities among the prefectures and among the sectors are measured using a metric. From these similarity matrices, we cluster the prefectures and sectors using the minimal spanning tree technique. The computed economic complexity index from the structure of the bipartite network shows a high correlation with macroeconomic indicators, such as per-capita gross prefectural product and prefectural income per person. We argue that this index reflects the present economic performance and hidden potential of the prefectures for future growth.

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Section: Introductionmentioning

confidence: 99%

Economic complexity of prefectures in Japan

2020

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“…We also develop a province-level ECI based on the methodologies presented by Pérez-Balsalobre et al (2019) and Hidalgo (2021). To compute the subnational ECI in a manner analogous to Equation (10) for the subnational EFI, we first take the province-product matrix (N) derived at the subnational scale and multiply it by the worldwide product complexity values provided by The Growth Lab at Harvard University (2019).…”

Section: Economic Complexitymentioning

confidence: 99%

Regional development trap and economic complexity in Turkey: Evidence from provincial data

Çınar

2023

Regional Science Policy & Practice

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This study aims to identify the provinces at risk of regional development traps in Turkey for the 2017‐2021 period, as well as to uncover the statistical association between economic complexity and regional development traps. To achieve this, we calculated the modified regional development trap for Turkey by incorporating past regional performances and deviations from the national average. We also employed two different economic complexity measures derived from the literature. Our analysis indicates a negative correlation between regional development trap and economic complexity suggesting that provinces with more complex productive structures may be less likely to fall into the trap.

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“…In the context of South America, there are several examples of the development of regional and multi-regional economic models for Brazilian regions (Guilhoto 1998; Guilhoto et al 2010; Haddad, Gonçalves Júnior, and Nascimento 2017) and more recently for Colombia (Haddad et al 2016). Other models have also been developed for countries like China (Zhang et al 2013; Mi et al 2018), Portugal (Ramos et al 2015), Spain (Llano Verduras 2004; Pérez-Balsalobre, Verduras, and Díaz-Lanchas 2019), and the United Kingdom (Wiedmann et al 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America

Ferreira

Court

et al. 2022

International Regional Science Review

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Subnational input–output (IO) tables capture industry- and region-specific production, consumption, and trade of commodities and serve as a common basis for regional and multi-regional economic impact analysis. However, subnational IO tables are not made available by national statistical offices, especially in the United States (US), nor have they been estimated with transparent methods for reproducibility or updated regularly for public availability. In this article, we describe a robust StateIO modeling framework to develop state and two-region IO models for all 50 states in the US using national IO tables and state industry and trade data from reliable public sources such as the US Bureau of Economic Analysis. We develop 2012-2017 state IO models and two-region IO models at the BEA summary level. The two regions are state of interest and rest of the US. All models are validated by a series of rigorous checks to ensure the results are balanced at state and national levels. We then use these models to calculate a 2012–2017 time series of macro economic indicators and highlight results for 11 states that have distinct economies with respect to size, geography, and industry structure. We also compare selected indicators to state IO models created by popular licensed and open-source software. Our StateIO modeling framework is consolidated in an open-source R package, stateior, to ensure transparency and reproducibility. Our StateIO models are US-focused, which may not be transferrable to international accounts, and form the economic base of state versions of the US environmentally-extended IO models.

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Modelling sovereign debt ratings for sub-national governments: the case of Spain before and after the crisis

Abstract: https://repositorio.uam.es Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in:

Cited by 8 publications

References 19 publications

Economic complexity of prefectures in Japan

Economic complexity of prefectures in Japan

Regional development trap and economic complexity in Turkey: Evidence from provincial data

StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America

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