Limin Du
Zhejiang University
18 Papers
Limin Du is an academic researcher from Zhejiang University. The author has contributed to research in topics: China & Marginal abatement cost. The author has an hindex of 10, co-authored 13 publications.
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Papers
Economic development and carbon dioxide emissions in China: Provincial panel data analysis
Limin Du,Chu Wei,Shenghua Cai +2 more
TL;DR: Wang et al. as discussed by the authors investigated the driving forces, emission trends and reduction potential of China's carbon dioxide (CO2) emissions based on a provincial panel data set covering the years 1995 to 2009.
446
Regional allocation of carbon dioxide abatement in China
Chu Wei,Jinlan Ni,Limin Du +2 more
TL;DR: In this paper, the authors identify which provinces will be allocated more (less) of a carbon dioxide reduction burden within China's pledge to reduce its carbon intensity at the Copenhagen conference, and they find that there exists a large gap in potential reduction capability and marginal abatement cost among the eastern, middle and western regions.
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Extreme risk spillovers between crude oil and stock markets
TL;DR: In this article, the authors investigated the spillovers of extreme risks between crude oil and stock markets using daily data of the S&P 500 stock index and West Texas Intermediate (WTI) crude oil futures returns.
200
Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis
Limin Du,Aoife Hanley,Ning Zhang +2 more
TL;DR: In this paper, a meta-frontier estimation method was proposed to investigate the environmental technical efficiency and carbon abatement cost of power plants in China taking the technological heterogeneities into consideration.
125
Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China
TL;DR: In this paper, the authors estimate the environmental efficiency, reduction potential and marginal abatement cost of CO2 emissions from coal-fired power plants in China using a novel plant-level dataset derived from the first and second waves of the National Economic Survey, which were implemented in 2004 and 2008, respectively.
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