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Pei Zhou

Researcher at Soochow University (Suzhou)

Publications -  277
Citations -  10501

Pei Zhou is an academic researcher from Soochow University (Suzhou). The author has contributed to research in topics: Semiconductor laser theory & Laser. The author has an hindex of 55, co-authored 229 publications receiving 8704 citations. Previous affiliations of Pei Zhou include Harvard University & University of North Carolina at Chapel Hill.

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CO2 emissions, energy consumption and economic growth in China: A panel data analysis

TL;DR: In this paper, the causal relationship between carbon dioxide emissions, energy consumption and real economic output using panel cointegration and panel vector error correction modeling techniques was examined for 28 provinces in China over the period 1995-2007.
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Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure

TL;DR: In this paper, a non-radial slacks-based data envelopment analysis (DEA) model was employed to estimate the potential reductions and efficiency of CO 2 emissions for China.
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Drosophila PIWI associates with chromatin and interacts directly with HP1a

TL;DR: It is shown that PIWI, an ARGONAUTE/PIWI protein family member that binds to Piwi-interacting RNAs (piRNAs), strongly and specifically interacts with heterochromatin protein 1a (HP1a), a central player in heterochromeatic gene silencing.
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Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis

TL;DR: In this paper, a meta-frontier non-radial directional distance function is proposed to model energy and CO2 emission performance in electricity generation, which allows for the consideration of the group heterogeneity of electricity generation.
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Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis

TL;DR: In this article, both static and dynamic energy efficiency performance indexes were proposed for measuring industrial energy efficiency by using several environmental DEA models with CO 2 emissions, and the dynamic index was further decomposed into two contributing components.