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| 1 |
ID:
112268
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2012.
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| Summary/Abstract |
We adopted the refined Laspeyres index approach to explore the impacts of industry scale, energy mix, energy intensity and utility mix on the total carbon dioxide emissions from the Chinese nonferrous metals industry for the period 1996-2008. In addition, we calculated the trend of decoupling effects in nonferrous metals industry in China by presenting a theoretical framework for decoupling. As the results suggest, Chinese nonferrous metals industry has gone through four decoupling stages: strong negative decoupling stage (1996-1998), weak decoupling stage (1999-2000), expensive negative decoupling stage (2001-2003) and weak decoupling stage (2004-2008). We have analyzed the reasons for each phase. Generally speaking, the rapid growth of the industry is the most important factor responsible for the increase of CO2 emissions, and the change in energy mix was mainly due to the increased proportion of electric energy consumption that has contributed to the increase of CO2 emissions. Reduction of energy intensity has contributed significantly to emissions decrease, and the utility mix effect has also contributed to the emission decrease to some extent.
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| 2 |
ID:
132695
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2014.
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| Summary/Abstract |
This paper employs the input-output (IO) approach to analyze the scale and structure of embodied carbon emissions of China×s 19 industry sectors during 2001-2011 and constructs a regression model to establish the relationship between energy intensity, per capita output, trade openness, foreign direct investment (FDI), trade comparative advantage, environmental regulation, technology, and CO2 emission intensity. Our results suggest that: China×s international embodied carbon emission balance has been in a state of continuous growth for the period 2001-2011, and China has become a pollution haven; the relationship between per capita output and CO2 emission is inverse N-typed and China×s industries are in the rising stage of the curve; FDI and trade comparative advantage are two main elements boosting China×s carbon emissions; trade openness, environmental regulation, and technology will lower the growth rate of China×s industrial carbon emissions (ICEs). Consequently, China×s policies should center on adjusting the industry structure and scale of FDI inflows, transforming industries with trade comparative advantages into a clean type, facilitating environmental regulation level, and bringing in and developing low-carbon technology to avert China from being a pollution haven.
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| 3 |
ID:
130542
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2014.
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| Summary/Abstract |
This paper calculates CO2 emissions embodied in China's international trade using an input-output analysis, for the period 2000-2010. Based on industrial panel data, the two-step GMM estimation is used to test the impacts of FDI, trade openness, exports, imports and per capita income on CO2 emissions. The results suggest that: (1) China's growing trade surplus is one of the important reasons for the rapidly rising CO2 emissions; (2) large FDI inflows further aggravate China's CO2 emissions; and (3) the industrial sector's per capita income and CO2 emission relationship show inverted-U environmental Kuznets curve. Therefore, in order to achieve environmentally sustainable development of the economy, China should make efforts to transform its trade growth mode, adjust foreign investment structure, strengthen energy efficiency and develop a low-carbon economy.
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| 4 |
ID:
116533
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| Publication |
2012.
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| Summary/Abstract |
This paper analyzes the reasons for regional variations in industrial CO2 emissions mitigation. First, regional industrial CO2 emissions during the "11th Five-Year Plan" period are calculated based on the presented method. Then a two-level perfect decomposition method, LMDI, is used to find the nature of the factors that influence the changes in energy-related industrial CO2 emissions in nine economic regions in China. The changes of industrial CO2 emissions are decomposed into energy emission factor effect, energy structure effect, energy intensity effect, industrial structure effect and economic output effect. As the results suggest, rapid growth of industry is the most important factor responsible for the increase in CO2 emissions. The adjustment of both industrial structure and energy structure contributes to the increase of CO2 emissions slightly. Energy consumption per unit GDP is the most important measure of CO2 emissions and the energy emission factor by itself also makes a weeny contribution to CO2 reduction as a result of electricity generation efficiency enhancement.
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