Residential energy-related carbon emissions in urban and rural China during 1996–2012: From the perspective of five end-use activities

Fan, Jing-Li; Yu, Hao; Wei, Yi‐Ming

doi:10.1016/j.enbuild.2015.03.026

Cited by 91 publications

(38 citation statements)

References 10 publications

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“…However, cooling devices are rarely used in rural families. Although the usage of cooling services is highly influenced by income level, through the past 20 years there is no evidence suggesting that cooling services have widely penetrated in China's rural households [2,5,6,24]. Therefore, in this study, cooling service is excluded and energy service demand in the rural residential sector is categorized into five applications: heating, hot water, cooking, lighting, and electronics.…”

Section: Energy Service Demandmentioning

confidence: 99%

“…We first develop a macro-model to estimate future outlooks on rural residential energy service demand up to 2050. Then we use the AIM/Enduse model to evaluate the CO 2 The remainder of this paper is structured into Sections 2-4. Section 2 describes the methodology for estimating future service demand and evaluating the CO2 emission reduction potential.…”

Section: Figurementioning

confidence: 99%

“…Krey et al [9] used three integrated assessment models to evaluated rural energy use in Asian countries and carried out a comparison study based on their results. Fan et al [2] and Feng et al [10] analyzed panel data to examine CO2 emissions and energy use in China's rural households, respectively. All three of these studies were conducted at the country level in spite of the huge disparities in income and climate across regions and provinces.…”

Section: Figurementioning

confidence: 99%

“…The types of housing and household energy structures markedly differ between urban and rural areas in China. The differences are so substantial that most of the studies done so far on Chinese energy demand have treated urban and rural households as two different sectors [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

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Energy Service Demand Projections and CO2 Reduction Potentials in Rural Households in 31 Chinese Provinces

et al. 2015

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Until 2012, most of China's population lived in rural areas with markedly different patterns of household energy consumption from those in Chinese cities. The studies so far done on residential energy use in rural Chinese households have been limited to questionnaire surveys and panel data analyses. Hardly any studies on energy demand in rural areas have considered both the climatic and economic disparities across Chinese regions. In this study we conduct a systematic analysis of the rural Chinese residential sector on a regional basis. We begin by developing a macro-model to estimate energy service demands up to 2050. Next, we apply the AIM(Asia-Pasific Integrated Model)/Enduse model, a bottom-up cost-minimization model with a detailed mitigation technology database, to estimate the mitigation potential of low-carbon technologies in rural China. Our results show that energy service demand in the rural household sector will continue to increase in regions with growing population or income conditions. However, after 2030, the rural residential energy service demand will start to decline in most Chinese regions. The impacts of efficient technologies will vary from one region to the next due to regional climatic and economic disparities. Throughout all of China, the penetration of efficient technologies can reduce CO 2 emissions by 20% to 50%. Of the technologies available, efficient lighting, biomass water heaters, and efficient electronics bring the most benefit when implemented in rural households.

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Section: Energy Service Demandmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Energy Service Demand Projections and CO2 Reduction Potentials in Rural Households in 31 Chinese Provinces

et al. 2015

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“…It has been found that carbon emissions from the energy use of urban and rural residents in China have been increasing every year [3][4][5]. The total CO 2 emissions from rural residential energy consumption showed a significant increase from 152.2 million tons in 2001 to 283.6 million tons in 2008, and the annual growth rate of per capita CO 2 emissions was nearly two times faster than that of urban areas [6].…”

Section: Introductionmentioning

confidence: 99%

Regional Disparities in Emissions of Rural Household Energy Consumption: A Case Study of Northwest China

et al. 2017

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Abstract:The purpose of this paper is to present the emissions status of multiple rural areas from the perspective of a field survey and make up for the defects of the traditional emission cognition of single type of area. The basic data in the lower reaches of the Weihe River of Northwest China were collected through household questionnaire surveys, and emissions from rural household energy consumption were calculated in the paper. In addition, the grey relational analysis method was used to identify influential factors of emission disparities. The results show that the total emissions of the plain, loess tableland, and Qinling piedmont areas are 1863.20, 1850.43, and 2556.68 kg, respectively. Regional disparities in emissions of rural household energy consumption vary greatly. CO 2 emissions are highest in the Qinling piedmont area, followed by the loess tableland area. For other emissions, there is no fixed order of the three areas, which suggests that disparities in emissions are connected with the dominant type of energy consumption. Diversification of energy use might not necessarily produce higher emissions, but the traditional biomass energy pattern does generate more emissions. The regional supply capacity of household energy is the original influence factor of disparities in emissions, and factors that influence these disparities are directly related to differences among farmers, followed by the age structure, educational background, income level, occupation, and so on.

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Energy consumption and CO₂ emissions in Tibet and its cities in 2014

et al. 2017

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Because of its low level of energy consumption and the small scale of its industrial development, the Tibet Autonomous Region has historically been excluded from China's reported energy statistics, including those regarding CO2 emissions. In this paper, we estimate Tibet's energy consumption using limited online documents, and we calculate the 2014 energy‐related and process‐related CO2 emissions of Tibet and its seven prefecture‐level administrative divisions for the first time. Our results show that 5.52 million tons of CO2 were emitted in Tibet in 2014; 33% of these emissions are associated with cement production. Tibet's emissions per capita amounted to 1.74 tons in 2014, which is substantially lower than the national average, although Tibet's emission intensity is relatively high at 0.60 tons per thousand yuan in 2014. Among Tibet's seven prefecture‐level administrative divisions, Lhasa City and Shannan Region are the two largest CO2 contributors and have the highest per capita emissions and emission intensities. The Nagqu and Nyingchi regions emit little CO2 due to their farming/pasturing‐dominated economies. This quantitative measure of Tibet's regional CO2 emissions provides solid data support for Tibet's actions on climate change and emission reductions.

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Residential energy-related carbon emissions in urban and rural China during 1996–2012: From the perspective of five end-use activities

Cited by 91 publications

References 10 publications

Energy Service Demand Projections and CO2 Reduction Potentials in Rural Households in 31 Chinese Provinces

Energy Service Demand Projections and CO2 Reduction Potentials in Rural Households in 31 Chinese Provinces

Regional Disparities in Emissions of Rural Household Energy Consumption: A Case Study of Northwest China

Energy consumption and CO₂ emissions in Tibet and its cities in 2014

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Residential energy-related carbon emissions in urban and rural China during 1996–2012: From the perspective of five end-use activities

Cited by 91 publications

References 10 publications

Energy Service Demand Projections and CO2 Reduction Potentials in Rural Households in 31 Chinese Provinces

Energy Service Demand Projections and CO2 Reduction Potentials in Rural Households in 31 Chinese Provinces

Regional Disparities in Emissions of Rural Household Energy Consumption: A Case Study of Northwest China

Energy consumption and CO2 emissions in Tibet and its cities in 2014

Contact Info

Product

Resources

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Energy consumption and CO₂ emissions in Tibet and its cities in 2014