2018
DOI: 10.1016/j.renene.2017.12.057
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Renewable energy sources policies in a Bayesian DSGE model

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Cited by 42 publications
(21 citation statements)
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“…It is believed that the dynamics of the development of solar energy production is mainly determined by insolation conditions in individual regions [42], as well as the policy of financial support for investments in this field, the pro-environmental awareness of residents [13,43] and the way solar energy is being managed in the grid [44].…”
Section: Introductionmentioning
confidence: 99%
“…It is believed that the dynamics of the development of solar energy production is mainly determined by insolation conditions in individual regions [42], as well as the policy of financial support for investments in this field, the pro-environmental awareness of residents [13,43] and the way solar energy is being managed in the grid [44].…”
Section: Introductionmentioning
confidence: 99%
“…Incentive carbon emission reduction subsidy policy is capable of promoting the firms' carbon emission abatement initiatives [26]. Argentiero et al [27] built a DSGE model that included carbon taxes and subsidies to compare the cost-effectiveness under technology-driven shock and demand-driven shock. Xu et al [28] studied the interaction scenario in which the government imposes carbon taxes on manufacturers and gives subsidies to consumers who purchase green products.…”
Section: Incentive Carbon Emission Reduction Subsidy Policymentioning
confidence: 99%
“…Also, delay in intervention is costly to the economy. Likewise; Argentiero et al (2018) investigated the effectiveness of a cost-effective strategy for the implementation of renewable energy strategies based on either technology push and demand pull measures in a DSGE model. They found out that a technology push measure is more suitable and effective.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The SOEDSGE model that is adapted in this study is in line with Argentiero et al (2018). The model assumes the existence of optimizing economic agents that base their current decision on their anticipation about the future.…”
Section: The Soedsge Modelmentioning
confidence: 99%
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