کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8077691 1521477 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimal carbon taxes in carbon-constrained China: A logistic-induced energy economic hybrid model
ترجمه فارسی عنوان
مالیات کربن بهینه در چین محدود به کربن: یک مدل ترکیبی اقتصادی انرژی ناشی از لجستیک
کلمات کلیدی
مدل سازی جمع بندی منحنی لجستیک اصلاح شده، اثر یادگیری، محدودیت های فضای کربن، مالیات بر کربن مطلوب، انتشار تکنیکال،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی
Carbon tax is an effective option for internalizing climate change and correcting market failure, an optimal set of carbon taxes can result in superior carbon mitigation. Then what is the optimal trajectory of carbon tax under various carbon-constrained scenarios, and what are the impacts of carbon controls on the economy and performance of carbon-free technologies are important questions to be addressed. We construct an energy-economy-environment aggregated model of China, combining top-down and bottom-up modeling and introducing revised logistic curves for enriching technical details. We also propose four carbon-constrained scenarios based on representative international carbon allocation plans. Our analysis shows that the optimal carbon tax in China is a monotonically increasing one, following a classical, S-shaped pattern. Carbon space constraints play an important role in promoting development of carbon-free technologies, while the substantial transition from fossil fuels to non-carbon energy would not happen before 2040, making clear that it will take at least 30 years to promote the development of carbon-free technologies. However, present energy-saving and efficiency-improving measures ensure that China is capable of achieving the voluntary goal of reducing carbon intensity in 2020 by 40-45% of what they were in 2005; nevertheless, introducing some carbon controls is necessary to fulfill the task of carbon emissions reduction in the Chinese Twelfth Five-Year Plan.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 69, 1 May 2014, Pages 345-356
نویسندگان
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