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Yi-Ming Wei

Researcher at Beijing Institute of Technology

Publications -  404
Citations -  25333

Yi-Ming Wei is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Energy consumption & Greenhouse gas. The author has an hindex of 69, co-authored 371 publications receiving 18695 citations. Previous affiliations of Yi-Ming Wei include Chinese Academy of Sciences & University of Science and Technology of China.

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Chinese CO2 emission flows have reversed since the global financial crisis

TL;DR: It is shown that emission flow patterns have changed greatly in both domestic and foreign trade since the financial crisis, and emissions embodied in China’s exports declined from 2007 to 2012, while developing countries become the major destinations of China's export emissions.
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Relationships between oil price shocks and stock market: An empirical analysis from China ☆

TL;DR: In this paper, the interactive relationship between oil price shocks and Chinese stock market using multivariate vector auto-regression was investigated, and it was shown that oil price volatility may increase the speculations in mining index and petrochemicals index, which raise their stock returns.
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Analyzing impact factors of CO2 emissions using the STIRPAT model

TL;DR: In this paper, the authors analyzed the impact of population, affluence and technology on the total CO 2 emissions of countries at different income levels over the period 1975-2000, showing that economic growth has the greatest impact on emissions, and the proportion of the population between ages 15 and 64 has the least impact.
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Consumption-based emission accounting for Chinese cities

TL;DR: In this paper, the authors employ an input-output model to calculate consumption-based CO2 emissions for thirteen Chinese cities and find substantial differences between production-and consumptionbased accounting in terms of both overall and per capita carbon emissions.
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Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China

TL;DR: In this article, the authors examined the impact factors of population, economic level, technology level, urbanization level, GDP per capita, industrialization level and service level on the energy-related CO2 emissions in Guangdong Province, China from 1980 to 2010 using an extended STIRPAT model.