2021
DOI: 10.1007/s11356-021-16650-z
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A comparative study of carbon tax and fuel tax based on panel spatial econometric model

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Cited by 5 publications
(4 citation statements)
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“…This may be due to the inclusion of the spatial lag term in the SDM model, which ignores the feedback between adjacent regions and the bias of the point estimate. Therefore, the effect of the explanatory variable on the explained variable cannot be simply characterized by the above regression coefficient (Li and Song, 2022). This kind of effect needs to be decomposed into direct and indirect effects.…”
Section: Ols W1 W2mentioning
confidence: 99%
“…This may be due to the inclusion of the spatial lag term in the SDM model, which ignores the feedback between adjacent regions and the bias of the point estimate. Therefore, the effect of the explanatory variable on the explained variable cannot be simply characterized by the above regression coefficient (Li and Song, 2022). This kind of effect needs to be decomposed into direct and indirect effects.…”
Section: Ols W1 W2mentioning
confidence: 99%
“…32 However, the means to improve the environment through taxation are more common. 33 For example, setting carbon tax, 8 fuel tax, 33 coal resource tax, 34 iron ore resource tax, 35 etc. Compared to carbon trading policies, taxation policies are easier to implement.…”
Section: Literature Reviewmentioning
confidence: 99%
“…From a comparative policy perspective, scholars compare the effects of different policies implemented separately. For instance, they have compared the impact of the carbon tax and fuel tax policies, 33 the respective advantages and disadvantages of the carbon tax and resource tax. 15 From a combined policy perspective, scholars study the policy effects of two or more policies implemented simultaneously.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Studies show that the aviation fuel tax applied in Japan has reduced CO 2 emissions [39]. On the other hand, after the tax cut between 2004 and 2013, fuel consumption increased by 246 million gallons in Japan, which caused 2.4 million metric tons of CO 2 emissions.…”
Section: Taxes On Jet Fuelmentioning
confidence: 99%