Job creation in response to Japan’s energy transition towards deep mitigation: An extension of partial equilibrium integrated assessment models

Ju, Yiyi; Sugiyama, Masahiro; Kato, Etsushi; Oshiro, Ken; Wang, Jiayang

doi:10.1016/j.apenergy.2022.119178

Cited by 15 publications

(5 citation statements)

References 20 publications

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“…12 In literature, there are positive indications that a transition from fossils to renewables typically creates net jobs, 13 after accounting for workforce redistribution among sectors. [14][15][16] Recent work has showcased large employment gains from a complete shift to a fully renewable power sector, 17 even more so for combined efforts in heat, transport, and desalination, 18 while broader Paris-compliant mitigation pathways show similar findings for energy-sector employment. 19 However, evidence on COVID-19 and associated recovery efforts is still scarce.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 recovery packages can benefit climate targets and clean energy jobs, but scale of impacts and optimal investment portfolios differ among major economies

Ven

Νίκας²,

Koasidis³

et al. 2022

One Earth

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Section: Introductionmentioning

confidence: 99%

COVID-19 recovery packages can benefit climate targets and clean energy jobs, but scale of impacts and optimal investment portfolios differ among major economies

Ven

Νίκας²,

Koasidis³

et al. 2022

One Earth

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“…These hybrid models are developed based on the following reasons (Frame et al, 2020; Ju et al, 2022; Ruane et al, 2017).…”

Section: Classification Of Iams For Reecdmentioning

confidence: 99%

Integrated assessment models for resource–environment–economy coordinated development

Li,

Fan,

Wang

et al. 2024

WIREs Energy & Environment

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Resources–environment–economy coordinated development (REECD) is important for global sustainable development goals (SDGs). Integrated assessment model (IAM) is widely applied to investigate REECD‐related issues and design policy or technology development pathways. Accordingly, this study reviews existing literatures on the REECD related IAMs in terms of nexus mechanism, classification, theoretical basis and applicability, and puts forward possible expansion dimensions for improving the models. IAMs could be categorized into top‐down ones mainly based on computable general equilibrium and optimization theories, and bottom‐up ones generally based on engineering‐technological and ecology‐environmental analysis. Top‐down and bottom‐up combined IAMs are increasingly employed to evaluate the impacts of policy implementation, technological penetration and behavior modification, in order to improve the accuracy for decision‐making. Meanwhile, IAMs for REECD are need to be further developed to increase its applicability for analyzing high‐resolution and high‐frequency inventories of resource development and pollutant emissions. Existing IAMs should also embrace key resources consumption such as heavy and strategic metals. Due to tighter carbon emission space under 1.5‐degree and carbon‐neutral climate targets, the nexus mechanism of REECD would change significantly in future, which we need to characterize these variations in the models. Furthermore, researchers and developers should pay more attention to model improvement towards the developing and emerging economies.This article is categorized under: Sustainable Development > Emerging Economies Sustainable Development > Goals Human and Social Dimensions > Energy and Climate Justice

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“…in the IO model. Existing studies use this method to assess the direct and indirect job and output impacts across economic sectors of various energy transition scenarios (Siala et al, 2019) (Oei et al, 2020) (Ju et al, 2022).…”

Section: Iam To Io Linkingmentioning

confidence: 99%

“…VA, output, jobs, etc.) impact assessment across economic sectors of energy system transition scenarios(Siala et al, 2019) (Ju et al, 2022) (Oei et al, 2020)(Rady et al, 2018) …”

mentioning

confidence: 99%

Integrated assessment models and input–output analysis: bridging fields for advancing sustainability scenarios research

Lefèvre

2023

Economic Systems Research

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Technology-rich Integrated assessment models (IAMs) and Environmentally-Extended Input-Output Analysis (EEIOA) are widely employed for sustainability analysis, each offering unique strengths.IAMs focus on forward-looking scenarios, exploring technological shifts and climate change mitigation costs. EEIOA provides more comprehensive but static assessments of environmental and socioeconomic impacts throughout supply chains, adopting a lifecycle perspective. I conduct a literature review to assess the current state of IAM-IO integration, paving the way for future research opportunities with advanced models. Existing studies have loosely linked IAM and IO models to improve one field or the other. This perspective highlights the potential for more advanced IAM-IO model linking and identifies three domains within sustainability scenarios research where IAM-IO integration could play a crucial role : the energy-industry nexus in decarbonization pathways, multi-dimensional sustainability impact assessment and demand-side solutions and post-growth climate mitigation scenarios. The expected research insights may be pivotal to design effective sustainable policies.

show abstract

Job creation in response to Japan’s energy transition towards deep mitigation: An extension of partial equilibrium integrated assessment models

Cited by 15 publications

References 20 publications

COVID-19 recovery packages can benefit climate targets and clean energy jobs, but scale of impacts and optimal investment portfolios differ among major economies

COVID-19 recovery packages can benefit climate targets and clean energy jobs, but scale of impacts and optimal investment portfolios differ among major economies

Integrated assessment models for resource–environment–economy coordinated development

Integrated assessment models and input–output analysis: bridging fields for advancing sustainability scenarios research

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