Environmentally extended input–output analysis in complex networks: a multilayer approach

Cornaro, Alessandra; Rizzini, Giorgio

doi:10.1007/s10479-022-05133-0

Cited by 2 publications

(7 citation statements)

References 42 publications

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“…Results related to the global energy are in line with References 19 and 23 where relevant countries in the world trade have also a central role in terms of consumption. However, additional insights are provided.…”

Section: Introductionsupporting

confidence: 85%

“…However, this representation does not capture the joint interaction between sectors and countries, being based on an analysis at either country or sector level. The proposed approaches have been extended in Reference 23, where a multilayer network has been considered.…”

Section: Introductionmentioning

confidence: 99%

“…In this work, we extend the approach of Reference 23, considering different types of embodied energy sources as well as the time evolution of the sectors' and countries' interactions. Therefore, we focus on the embodied energy flow on temporal multilayer networks based respectively on renewable and non‐renewable sources.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we focus on the embodied energy flow on temporal multilayer networks based respectively on renewable and non‐renewable sources. Hence, we extend existing methodologies provided in References 19 and 23, by computing the embodied energy flows for each couple of countries and sectors in each time period and for different energy sources. Given a specific time and a specific energy source, flows are used to construct a directed and weighted multilayer network where sectors/industries are nodes and each layer represents the economy/country.…”

Section: Introductionmentioning

confidence: 99%

“…In this way, we provide a full view over time of economies, sectors, and connections that play a relevant role over time in the network and whose removal could heavily affect the stability of the system. The proposed approach is new in this context, since embodied energy flows have been either studied using classical centrality measures based on monoplex networks (see References 19, 20, and 21) or focusing only on nodes and layers in a given period in a multilayer framework (see Reference 23).…”

Section: Introductionmentioning

confidence: 99%

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Strategic energy flows in input‐output relations: A temporal multilayer approach

Clemente

Cornaro

Grassi

et al. 2023

Appl Stoch Models Bus & Ind

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The energy consumption, the transfer of resources through the international trade, the transition towards renewable energies and the environmental sustainability appear as key drivers in order to evaluate the resilience of the energy systems. Concerning the consumptions, in the literature a great attention has been paid to direct energy, but the production of goods and services also involves indirect energy. Hence, in this work we consider different types of embodied energy sources and the time evolution of the sectors' and countries' interactions. Flows are indeed used to construct a directed and weighted temporal multilayer network based respectively on renewable and non‐renewable sources, where sectors are nodes and layers are countries. We provide a methodological approach for analysing the network reliability and resilience and for identifying critical sectors and economies in the system by applying the Multi‐Dimensional HITS algorithm. Then, we evaluate central arcs in the network at each time period by proposing a novel topological indicator based on the maximum flow problem. In this way, we provide a full view of economies, sectors and connections that play a relevant role over time in the network and whose removal could heavily affect the stability of the system. We provide a numerical analysis based on the embodied energy flows among countries and sectors in the period from 1990 to 2016. Results prove that the methods are effective in catching the different patterns between renewable and non‐renewable energy sources.

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Section: Introductionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Strategic energy flows in input‐output relations: A temporal multilayer approach

Clemente

Cornaro

Grassi

et al. 2023

Appl Stoch Models Bus & Ind

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Complex networks and deep learning for copper flow across countries

Federico,

Mounim,

D’Urso

et al. 2023

Ann Oper Res

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In this paper, by using a lifecycle perspective, four stages related to the extraction, refining and processing of copper were identified. The different behaviors of countries in the import/export networks at the four stages synthetically reflect their position in the global network of copper production and consumption. The trade flows of four commodities related to the extraction, refining and processing of copper of 142 nations with population above 2 millions based on the UN Comtrade website (https://comtrade.un.org/data/), in five years from 2017 to 2021, were considered. The observed trade flows in each year have been modelled as a directed multilayer network. Then the countries have been grouped according to their structural equivalence in the international copper flow by using a Multilayer Stochastic Block Model. To put further insight in the obtained community structure of the countries, a deep learning model based on adapting the node2vec to a multilayer setting has been used to embed the countries in an Euclidean plane. To identify groups of nations that play the same role across time, some distances between the parameters obtained in consecutive years were introduced. We observe that 97 countries out of 142 consistently occupy the same position in the copper supply chain throughout the five years, while the other 45 move through different roles in the copper supply chain.

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Environmentally extended input–output analysis in complex networks: a multilayer approach

Cited by 2 publications

References 42 publications

Strategic energy flows in input‐output relations: A temporal multilayer approach

Strategic energy flows in input‐output relations: A temporal multilayer approach

Complex networks and deep learning for copper flow across countries

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