A review of input–output model application hot spots in the energy and environment fields based on co-words network analysis

Wei, Yuan; Jiao, Li; Lee, Lien-Chieh; Wang, Mengyang; Du, Huibin

doi:10.1139/er-2018-0110

Cited by 14 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The detailed methodological frame of environmentally extended multi‐regional input–output (EEMRIO) models can be found in Miller and Blair (2009), and they have been widely used in the recent literature for estimating the environmental impacts from production and international trade (see Wang, Li, Lee, Wang, and Du (2019) for a review). More concretely, the EEMRIO model is especially useful in the assessment of the emissions responsibilities of regions under consumption‐based accounting (CBA, which is also known as the carbon footprint; see Wiedmann (2009) and Malik, McBain, Wiedmann, Lenzen, and Murray (2018) for a review).…”

Section: Methodsmentioning

confidence: 99%

The carbon footprint of foreign multinationals within the European Union

Ortiz

Cadarso

Santiago

2020

J of Industrial Ecology

View full text Add to dashboard Cite

Although European countries have made great efforts to reduce their territorial carbon emissions, global emissions are still growing. Multinational enterprises (MNEs) operating within Europe, as transnational institutions, can make significant contributions in translating European efforts into global emissions reduction. Here, we estimate the carbon footprint of the foreign multinationals’ affiliates (FMNEs) operating within the European Union (EU) in 2015 as a first assessment of the MNEs’ potential regarding European and global carbon emissions reduction targets. Our findings show that FMNEs generate 17% of the total carbon footprint of the EU but only 12% of the total value added. Thus, the net impacts of FMNE are considered to be in environmental deficit because their adverse environmental impacts are relatively higher than their positive economic ones. Calculations are made under the assumption that FMNEs produce using the same technology as their domestic peers; therefore, the carbon/economic imbalance found is attributed to the FMNEs’ distribution across sectors. The participation of FMNEs in carbon‐intensive industrial sectors are remarkably high in low‐income EU members; therefore, the effective reduction of the carbon footprint in those countries is largely conditioned by the decisions of foreign MNEs’ headquarters. Furthermore, those countries are more vulnerable to capital leakages in the case where a European carbon tax was to be imposed. We conclude by discussing the economic and policy implications of the country‐level inequality of MNEs’ environmental impacts within the EU.

show abstract

Section: Methodsmentioning

confidence: 99%

The carbon footprint of foreign multinationals within the European Union

Ortiz

Cadarso

Santiago

2020

J of Industrial Ecology

View full text Add to dashboard Cite

show abstract

“…[ 61 ] As these tables are fairly accurate in their depiction of inter‐industrial relationships, they have been used extensively by economists, environmentalists, and policy makers. [ 62 ] On the other hand, IOMs also present limitations due to their simplistic nature, most notably the assumption of fixed coefficients of productions which ignores the possibility of factor substitution.…”

Section: Distributional Impacts In Individual Modeling Frameworkmentioning

confidence: 99%

Beyond the Energy System: Modeling Frameworks Depicting Distributional Impacts for Interdisciplinary Policy Analysis

Montenegro

Fragkos²,

Dobbins

et al. 2020

Energy Tech

View full text Add to dashboard Cite

Since the signing of the 2030 Agenda for Sustainable Development by the United Nations Member States and the Yellow vest movement, it is clear that emission‐reducing policies should consider their distributional impacts to ensure a sustainable and equitable growth compatible with the Paris Agreement goals. To this end, the design of environmental and energy policies should be accompanied by an interdisciplinary analysis that includes potential effects on distinct groups of society (defined by income, age, or location), regions, and sectors. This work synthesizes common modeling frameworks used to assess technical, socio‐economic, and environmental aspects in policy analysis and the recent progress to portray distributional impacts in each of them. Furthermore, the main indicators produced by each method are highlighted and a critical review pointing to gaps and limitations that could be addressed by future research is presented.

show abstract

“…To date, there have been some review articles that have adopted a scientometric visualization analysis to explore the intellectual structure and evolution history of related fields. Several examples of bibliometric applications include CF research [ 32 , 33 ], CF research from an LCA perspective [ 11 ], energy and environment research from an IOA perspective [ 34 ], and other related topics, such as carbon neutralization goals [ 35 , 36 ]. However, no studies have reported the application of IOA in the field of CF from a bibliometric perspective.…”

Section: Introductionmentioning

confidence: 99%

Carbon Footprint Research Based on Input–Output Model—A Global Scientometric Visualization Analysis

Han

Tan

Chen

et al. 2022

IJERPH

View full text Add to dashboard Cite

Reducing the effect of mankind’s activities on the climate and improving adaptability to global warming have become urgent matters. The carbon footprint (CF), derived from the concept of ecological footprint, has been used to assess the threat of climate change in recent years. As a “top to bottom” method, input–output analysis (IOA) has become a universally applicable CF assessment tool for tracing the carbon footprint embodied in economic activities. A wide range of CF studies from the perspective of the IOA model have been presented and have made great progress. It is crucial to have a better understanding of what the relevant research focuses on in this field, yet so far a systematic synopsis of the literature is missing. The purpose of this paper is to explore the knowledge structure and frontier trends in respect of the IOA model applied to CF research using scientometric visualization analysis. The main findings of this paper are as follows. (1) Published articles show a two-stage increase in the period 2008 to 2021, and present a complex academic network of countries, authors, and institutions in this important domain. (2) The classic studies are mainly divided into three categories: literature reviews, database application introduction, and CF accounting in different scales. (3) The research hotspots and trends show that the research scales tend to be more microscopic and applications of models tend to be more detailed. In addition, supply-chain analysis and driver-factor analysis will probably become the main research directions in the future.

show abstract

A review of input–output model application hot spots in the energy and environment fields based on co-words network analysis

Cited by 14 publications

References 36 publications

The carbon footprint of foreign multinationals within the European Union

The carbon footprint of foreign multinationals within the European Union

Beyond the Energy System: Modeling Frameworks Depicting Distributional Impacts for Interdisciplinary Policy Analysis

Carbon Footprint Research Based on Input–Output Model—A Global Scientometric Visualization Analysis

Contact Info

Product

Resources

About