China's Energy Consumption in the New Normal

Mi, Zhifu; Zheng, Jiantao; Meng, Jing; Shan, Yuli; Zheng, Heran; Ou, Jiamin; Guan, Dabo; Wei, Yi

doi:10.1029/2018ef000840

Cited by 116 publications

(51 citation statements)

References 49 publications

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“…Fixed capital formation acted as the main reason for energy growth, accounting for 75% of energy growth, because of the "package plan" proposed by the Chinese government. The results of Mi et al (2018) [13] agreed with those of Xie (2014) [12].…”

Section: Introductionsupporting

confidence: 86%

“…We collected five seminal peer-reviewed articles [12][13][14]22,52] relevant to our research, and classified the driving forces behind China's energy-use change into a production technology effect, and a final demand effect. We computed the "average" decomposition effects of different studies in the same period, and Figure 9 shows the percentage contribution of each driving factor to China's energy-use change during the specific five-year period.…”

Section: Analysis Combining the Present And Previous Studiesmentioning

confidence: 99%

“…Meanwhile, efficiency played a critical role in offsetting energy consumption. However, from 2002 to 2007, the efficiency of construction, abnormally increasing the total energy use, resulted in a weakened energy saving effect of efficiency [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Sources of China’s Fossil Energy-Use Change

et al. 2019

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Technology improvement related to energy conservation and energy mix low-carbonization is a critical approach for tackling global warming in China. Therefore, we attempt to identify the technology factors of China’s energy consumption change between 2007 and 2012, when China’s economy started slowing. This study proposes a new refined structural decomposition analysis (SDA) based on a hybrid multi-regional input–output (MRIO) model. The technology factors are expressed through the energy input level effect, energy composition effect, and non-energy input effect. We find that the energy level effect was the primary driver for energy reduction, saving 1205 million tonnes of standard coal equivalent (Mtce) of energy, while 520 Mtce was offset by energy composition and non-energy input effects. The sector analysis shows that the energy input level, energy composition, and non-energy input effects of electricity, the chemical industry, and metallurgy are noteworthy. In addition, the sector contribution to energy-use change, by province, related to the three effects, is also studied. From these results, we propose policy suggestions for further energy saving, in order to achieve China’s energy target through technology improvements by the higher priority contributors identified.

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Section: Introductionsupporting

confidence: 86%

Section: Analysis Combining the Present And Previous Studiesmentioning

confidence: 99%

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Sources of China’s Fossil Energy-Use Change

et al. 2019

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“…This province is key for China's economic transformation to address climate change. From the current urbanization and industrialization in China, energy conservation and emission reductions have achieved remarkable achievements with declining urban energy consumption and industrial emissions [46]. As a major industrialized province in China, Hebei is under considerable pressure with respect to emission reductions; the large-scale development and transformation of energy resources in this province have promoted rapid economic growth but have also led to a continuous increase in carbon emissions.…”

Section: Introductionmentioning

confidence: 99%

Carbon emissions of cities from a consumption-based perspective

et al. 2019

Self Cite

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Carbon emission inventories are the foundations of climate change mitigation and adaptation in cities. In this study, we 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 CO2 emissions. By comprehensively comparing production-and consumption-based emissions, we found that six developed cities were consumption based with import-depended trade patterns, while the five other cities were production based, mostly medium in size, with the potential to transform into consumption-based cities with socioeconomic development. Emissions embodied in imports accounted for more than half of the consumption-based emissions in most cities, which shows the significance of interregional cooperation in tackling climate change. International cooperation is also important at the city level, as international imports also impacts consumption-based emissions. From the perspective of final use, emissions caused by fixed capital formation predominated in most cities and were determined by their economic development models.

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“…It is thus considered a sound and relevant methodology for consumption-based accounting when studying trade-related impacts at global or national levels. Linked with inventories of emissions (e.g., air pollutants and CO 2 ), resources (e.g., water and land), and other environmental indicators, the environmental-extended multiregional input-output analysis can quantify different types of environmental impacts through complex cross-regional supply chains, including air pollutants (Lin et al, 2014), CO 2 emissions (Chen et al, 2019;Feng et al, 2013;Pan et al, 2017), energy use (Mi, Zheng, et al, 2018), resource consumption (Wiedmann, 2009), and environmental damage (Wang, Liu, et al, 2017). We also use the MRIO model to quantify the value added along supply chains, following previous studies (Ou et al, 2019;Wu et al, 2018;Zhang, Li, et al, 2018).…”

Section: Environmental-extended Mrio Frameworkmentioning

confidence: 99%

China's Trade‐Off Between Economic Benefits and Sulfur Dioxide Emissions in Changing Global Trade

Wang

Zhang

et al. 2020

Earth's Future

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China has been suffering from air quality degradation since its ascension into the World Trade Organization in 2001. The unequal exchange that occurs with international trade—that is, developed countries obtaining larger shares of trade‐related value added relative to the shares of trade‐related air pollution incurred locally—may obstruct the greening of global supply chains. In this study, we conduct a multi‐regional input‐output analysis to examine the change in the distribution of economic benefits and sulfur dioxide emissions underlying China's international trade from 2002 to 2015. The results show that both net trade‐related economic benefits and SO2 emissions in China rapidly increased from 2002 to 2007 and then decelerated after 2007 due to changes in China's green development strategy. In the past 13 years, China has suffered from economic‐environmental inequality due to trade with most developed countries, for example, the United States, the European Union, East Asia, and Canada. East Asia, particularly Japan and South Korea, became both an economic and environmental winner while trading with China in 2015. China has also outsourced emissions to less developed regions, such as Sub‐Saharan Africa. We propose policy implications to further reduce the economic‐environmental inequality underlying China's international trade.

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China's Energy Consumption in the New Normal

Cited by 116 publications

References 49 publications

Sources of China’s Fossil Energy-Use Change

Sources of China’s Fossil Energy-Use Change

Carbon emissions of cities from a consumption-based perspective

China's Trade‐Off Between Economic Benefits and Sulfur Dioxide Emissions in Changing Global Trade

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