2022
DOI: 10.1080/14693062.2022.2061406
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Impact on the power mix and economy of Japan under a 2050 carbon-neutral scenario: Analysis using the E3ME macro-econometric model

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Cited by 9 publications
(6 citation statements)
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“…Finally, Lee et al [6] is the most relevant study for this research. They employed the E3ME model to explore the macroeconomic implications of achieving carbon neutrality in Japan by 2050 and how Japan's energy mix will transform.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Finally, Lee et al [6] is the most relevant study for this research. They employed the E3ME model to explore the macroeconomic implications of achieving carbon neutrality in Japan by 2050 and how Japan's energy mix will transform.…”
Section: Literature Reviewmentioning
confidence: 99%
“…To mitigate this, the power sector is exposed to policies to facilitate a transition to low-carbon electricity production that is applied in tandem to all policy scenarios. These policy packages are based on those of Lee et al [47], who apply policy packages to simulate the decarbonization of the power sector in Japan. Here, we extend their policies to China and Korea (Table 4).…”
Section: Financialization Of Policy Costs Via Other Fiscal Ratesmentioning
confidence: 99%
“…Similarly, Sievers et al (2019) project a 1.6% increase in GDP versus a reference scenario in Germany from 2010 to 2030 as a result of energy sector decarbonisation. Elsewhere, Lee et al (2022) analyse two Net Zero policy scenarios for Japan (with and without nuclear power phase out), nding that by 2050 decarbonisation across the energy system could add 4%-4.5% to GDP compared to a reference scenario.…”
Section: Al 2022)mentioning
confidence: 99%
“…Table2focus on the impacts of decarbonisation in the power sector alone, but several studies consider other energy sectors such as heat, transport and industry(Sievers et al, 2019;Füllemann et al, 2020;Lee et al, 2022). An important variation between the studies relates to how they use counterfactuals to calculate net employment impacts.…”
mentioning
confidence: 99%
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