2014
DOI: 10.1016/j.rser.2013.08.073
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Carbon emission reduction potential of rural energy in China

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Cited by 45 publications
(28 citation statements)
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“…With insufficient energy consumption per capita (50% less than national average), they have been using traditional and non-commercial energy for a long history (over 76.8% of total energy use) (Fan et al, 2011), such like firewood and straw as their main energy sources for nonproduction purposes on a large scale, although many rural households were provided with access to commercial coal (62.6% of the household commercial energy) (SCIO, 2007;Fan et al, 2011) and electricity by extension of power grids and the small hydropower exploitation. Despite recent research progress and policy developments in the field of China's rural energy (Li et al, 2014), most of them are still only some universal ideas of the rural energy presented. Exploration of specific and effective approaches to rural energy based on the energy materials estimation, and analytics of energy and emission reduction options to these rural communities, is still a major study point of criticism and key policy issue in many developing countries.…”
Section: Introductionmentioning
confidence: 99%
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“…With insufficient energy consumption per capita (50% less than national average), they have been using traditional and non-commercial energy for a long history (over 76.8% of total energy use) (Fan et al, 2011), such like firewood and straw as their main energy sources for nonproduction purposes on a large scale, although many rural households were provided with access to commercial coal (62.6% of the household commercial energy) (SCIO, 2007;Fan et al, 2011) and electricity by extension of power grids and the small hydropower exploitation. Despite recent research progress and policy developments in the field of China's rural energy (Li et al, 2014), most of them are still only some universal ideas of the rural energy presented. Exploration of specific and effective approaches to rural energy based on the energy materials estimation, and analytics of energy and emission reduction options to these rural communities, is still a major study point of criticism and key policy issue in many developing countries.…”
Section: Introductionmentioning
confidence: 99%
“…However, the general substantial explorations and effective options are not as put forward as could be in developing countries, including China, although recently case study progress has emerged in controlling water pollution or promoting biogas, especially in some nutrient-surplus areas around the world (Ding et al, 2012;Dai et al, 2015). Several recent studies involved carbon emission of rural energy in China (Li et al, 2014), but overlooking the biogas energy related with livestock and poultry breeding. An assessment of wastes from livestock and poultry breeding and the associated crucial environmental and energy policy remain scarce in China.…”
Section: Introductionmentioning
confidence: 99%
“…The district belongs to the warm temperate zone with a semi-humid Above all, scholars have mainly focused on the temporal scale and trends of rural household energy emissions, but little attention has been paid to investigating variations in energy emissions in different types of areas from a spatial perspective, making it difficult to provide reasonable regional guidance for the low-emission mode and a scientific basis for national and local governments to make further management policies for rural household energy consumption. Studies of regional disparities in air pollutants and GHG emissions were considerably conducted on the economic and industrial energy consumption of province-level units and paid little attention to the rural energy consumption [26][27][28][29][30]. Meanwhile, data from previous studies are mainly derived from macroscopic statistics and not enough from detailed field investigation.…”
Section: Study Areamentioning
confidence: 99%
“…Due to lack of direct monitoring data, the calculation of emissions is mostly based on energy consumption [28,36]. This paper is designed to take account of the calculation method provided by the IPCC greenhouse gas emission inventory guidebook in 2006, as shown in the following equation:…”
Section: Emission Calculationmentioning
confidence: 99%
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