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China's Energy Consumption in the New Normal

TLDR
In this article, structural decomposition analysis (SDA) and environmentally extended input output analysis (EEIOA) were used to decompose China's energy consumption changes during 2005-2012 into five factors: population, efficiency, production structure, consumption patterns, and consumption volume.
Abstract
Energy consumption is one of main reasons for global warming and highly correlated with economic development. As the largest energy consumer worldwide, China has entered a new economic development model – the "new normal". This study aims to explore the pattern shift in China's energy consumption growth in this new development phase. We use structural decomposition analysis (SDA) and environmentally extended input‐output analysis (EEIOA) to decompose China's energy consumption changes during 2005‐2012 into five factors: population, efficiency, production structure, consumption patterns, and consumption volume. During the period of the global financial crisis, the energy consumption generated by China's exports dropped, while the energy consumption generated by capital formation grew rapidly. Over three quarters of China's energy consumption growth was caused by capital formation during 2007‐2010. This growth is mainly because of China's economic stimulus measures in response to the global recession, with a focus on infrastructure construction. In the new normal, the strongest factors offsetting China's energy consumption have been shifting from efficiency gains to structural changes. Efficiency gains were the strongest factor offsetting China's energy consumption in traditional development model and offset 42% of energy consumption between 2005 and 2010 by keeping other driving forces constant. Since 2010, however, their effects offsetting energy have become weak. The production structure and consumption patterns both drove China's energy consumption growth in the traditional development model and drove energy consumption growth by 31% and 12% between 2005 and 2010, respectively. Since 2010, however, both factors have started to offset China's energy consumption.

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China CO2 emission accounts 2016-2017.

TL;DR: This study constructs the most up-to-date CO2 emission inventories for China and its 30 provinces, as well as their energy inventories, for the years 2016 and 2017 and provides key updates and supplements to the previous emission dataset for 1997–2015.
Journal ArticleDOI

Carbon emissions of cities from a consumption-based perspective

TL;DR: In this paper, the authors estimated production-based CO2 emissions from fossil fuel combustion and industrial processes in eleven cities in Hebei Province of China in 2012 and used input-output theory to measure their consumption-based emissions.
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Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test

TL;DR: Wang et al. as mentioned in this paper analyzed the effect and mechanism of internet development on China's haze pollution on the basis of provincial panel data in China from 2006 to 2017, and the results indicated that there is an inverted “U” curve between internet development and haze pollution in China.
Journal ArticleDOI

Who is energy poor? Evidence from the least developed regions in China

TL;DR: In this paper, the relationship between energy expenditure and household income and identifies the energy poverty line based on the threshold above which the energy share becomes insensitive to household income using household survey data from rural Qinghai, China.
References
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Journal ArticleDOI

Structural decomposition techniques: sense and sensitivity

TL;DR: In this paper, the authors discuss the problems caused by the existence of a multitude of equivalent decomposition forms which are used to measure the contribution of a specific determinant, and examine the two approaches that have been used predominantly in the literature.
Journal ArticleDOI

Structural decomposition analysis applied to energy and emissions: Some methodological developments

TL;DR: This paper examines the new methodological developments in structural decomposition analysis by comparing four such SDA methods analytically and empirically through decomposing changes in China's CO2 emissions and provides guidelines on method selection.
Journal ArticleDOI

China CO2 emission accounts 1997-2015.

TL;DR: This study constructed the time-series of CO2 emission inventories for China and its 30 provinces following the Intergovernmental Panel on Climate Change (IPCC) emissions accounting method with a territorial administrative scope from 1997 to 2015.
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