Key Sectors: A New Proposal from Network Theory

García-Muñiz, Ana Salomé; Raya, Antonio Morillas; Carvajal, Carmen Ramos

doi:10.1080/00343400701654152

Cited by 32 publications

(7 citation statements)

References 42 publications

(8 reference statements)

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“…The introduction of graphtheoretic and network analytic metrics, most of which were originally implemented into the analysis of social networks, has significantly advanced the qualitative (or structural) input-output analysis of inter-sectoral linkages in national economies and contributed to uncover salient features of their structure. In particular, centrality measures can be used to determine the relative position of sectors within a national economy, their direct and indirect proximity to each other, and, hence, to identify the most influential and critical ones, exploiting information from inputoutput matrices (e.g., Cuello et al 1992;Muñiz et al 2008;Montresor and Marzetti 2009). Besides, it has been shown that the complexity of an economy, in terms of its graph density, 1 and its intrinsic characteristics are vital for countries to explore combinations, accumulate and find new productive capabilities and develop more products (Hidalgo 2009).…”

Section: The Use Of Network Analysis In Economic Systemsmentioning

confidence: 99%

Network analysis of inter-sectoral relationships and key sectors in the Greek economy

Tsekeris

2015

J Econ Interact Coord

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The rapidly growing theories of networks and complex systems have been recently adopted to interpret the efficiency and robustness of various economic markets. Based on these theoretical underpinnings, the present paper describes a structural input-output analysis of the inter-sectoral linkages and main activity clusters of the Greek economy, which is modeled as a complex network. Such an analysis employs suitable network metrics to measure the centrality and influence of each sector-agent on the other ones, and the possibilities for clustering of related (groups of) activities. Key sectors related to the production of tradable goods and services are identified, in terms of their marginal ability to pull the total economic activity. Critical sectors are also determined in terms of their ability to retain the interconnectivity and strengthen the stability of the whole economic system. It is argued that more synergies within and among the activity clusters, through the creation of integrated value chains, would allow better coordination of policies, more efficient allocation of resources and enhanced diffusion of knowledge.

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Section: The Use Of Network Analysis In Economic Systemsmentioning

confidence: 99%

Network analysis of inter-sectoral relationships and key sectors in the Greek economy

Tsekeris

2015

J Econ Interact Coord

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“…Its centrality in economic production has been empirically tested and detected in several regional economies deploying network theory on input-output tables (e.g. for the US, Canada, and Mexico by Aroche-Reyes (2002) and by Muñiz, Raya, and Carvajal (2008) for the case of Europe). This implies a relatively wide range of possible risks and indirect effects when decarbonising these key sectors.…”

Section: Pathways For Incumbent Large-scale Technology Systemsmentioning

confidence: 99%

Narratives of Low-Carbon Transitions

Hanger¹,

Lieu²,

Νίκας³

2019

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This book examines the uncertainties underlying various strategies for a lowcarbon future. Most prominently, such strategies relate to transitions in the energy sector, on both the supply and the demand side. At the same time they interact with other sectors, such as industrial production, transport, and building, and ultimately require new behaviour patterns at household and individual levels. Currently, much research is available on the effectiveness of these strategies but, in order to successfully implement comprehensive transition pathways, it is crucial not only to understand the benefits but also the risks. Filling this gap, this volume provides an interdisciplinary, conceptual framework to assess risks and uncertainties associated with low-carbon policies and applies this consistently across 11 country cases from around the world, illustrating alternative transition pathways in various contexts. The cases are presented as narratives, drawing on stakeholder-driven research efforts. They showcase diverse empirical evidence reflecting the complex challenges to and potential negative consequences of such pathways. Together, they enable the reader to draw valuable lessons on the risks and uncertainties associated with choosing the envisaged transition pathways, as well as ways to manage the implementation of these pathways and ultimately enable sustainable and lasting social and environmental effects. This book will be of great interest to students, scholars, and practitioners of environmental and energy policy, low-carbon transitions, renewable energy technologies, climate change action, and sustainability in general.

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“…Following is a summary of these, organized around the topic of interest and methodology utilized (i.e., network centralities applied, some of which are reviewed in the methodology section of this paper). In terms of analyzing key sectors, some works are: Alatriste (2014) studying several European economies with hubs and authority measures to evaluate impacts of shocks in trade as a function of many variables, including the relative importance of various sectors; Blochl et al (2011) analyzing OECD economies in terms of random walk centrality and counting betweenness; and Muniz et al (2008) measuring key sectors by the total effects exerted on the economy, the immediacy (a more or less direct tie by which the sector connects with the others), and its importance as a factor in transmitting effects throughout the network.…”

Section: The Study Of Global Trade Through Network Analysis Of Iotsmentioning

confidence: 99%

What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases

Pérez-Guzmán

Téllez-León

Kharrazi

et al. 2018

REMEF

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Objective: This paper examines several peculiarities of Input-Output Tables (IOTs) of trade of raw material goods when treated as networks. Methodology: two IOTs of trade of raw material goods (World and Mexico) are compared with a network with a scale free distribution and hierarchical organization (an email database) by using distinct centralities and statistics from graph theory. Results: IOTs are a very particular type of graph due to their idiosyncrasies, for which standard graph measures cannot provide satisfactory results, and which have to be adapted to give a fragmented picture of the whole network. Recommendations: analytical tools of network theory applied to IOTs substantially improve the understanding of trade of raw material goods, both at the national and the global level, which is useful in the design of trade policy. Limitations: this research does not include random walk centrality and regime switching from external shocks. Originality: this is a novel research that enlightens the particularities of the IOTs, seen as networks, for the Mexican case. Conclusions: this investigation finds important particularities of IOTs when compared with other networks. JEL Classification: C40, C67, F10

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Key Sectors: A New Proposal from Network Theory

Cited by 32 publications

References 42 publications

Network analysis of inter-sectoral relationships and key sectors in the Greek economy

Network analysis of inter-sectoral relationships and key sectors in the Greek economy

Narratives of Low-Carbon Transitions

What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases

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