کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9547723 1371177 2005 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Environmental tax reform and the double dividend: A meta-analytical performance assessment
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Environmental tax reform and the double dividend: A meta-analytical performance assessment
چکیده انگلیسی
In this paper, we offer a meta-analytical synthesis of recent (simulation) studies on environmental tax reform (ETR). The studies considered here look at both environmental effects (e.g., reduction in CO2 emission) and economic effects (e.g., employment gains) consequent upon such a tax reform. The existing statistical results from the literature mainly suggest that the tax type, the recycling policy, and the economic model used in the simulations significantly influence the chance that a 'double dividend' effect can be obtained. These empirical results are, however, not entirely conclusive regarding the question of which combination of policies and models will lead to a higher double dividend. This issue is investigated in our study by a quantitative meta-analytic approach. Our meta-analytic statistical experiment demonstrates that the total effect of a tax-and-recycle policy has a significant influence on the economic variables (second dividend), when employment is used. It is also shown that different definitions of the double dividend contribute in determining the success of ETR, in particular since the effects on GDP are less clear than for employment. These findings should be taken into consideration when deploying an ETR in a policy context, in order to prevent a situation where ETR is rejected or accepted solely due to characteristics of one simulation study rather than through a wide set of results from different studies.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Economics - Volume 55, Issue 4, 1 December 2005, Pages 564-583
نویسندگان
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