Estimation of urban residential electricity demand in China using household survey data

By Shaojie Zhou, F. Teng. 2013

227 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Pollution, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/ace90ed3bd83b3629bbc62ae13c75ed34a9524c7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Ping Qin
2. Lunyu Xie
3. Feng Song
4. Haosheng Yan
5. Shuhan Zhang
6. Alba Fuertes
7. Rory Jones
8. Xinye Zheng

In Pollution

1. Lunyu Xie
2. Haosheng Yan
3. Shuhan Zhang
4. Rory Jones
5. Chu Wei
6. K. Lomas

In Renewable Energy, Sustainability and the Environment

1. Lunyu Xie
2. Haosheng Yan
3. Shuhan Zhang
4. Alba Fuertes
5. Rory Jones
6. Zhanming Chen
7. Chu Wei
8. K. Lomas

Citations in the corpus

• The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings (2015, background): “Education level of HRP 5 2 [17,29] 1 [20] 2 [4,34]”
• Characteristics of residential energy consumption in China: Findings from a household survey (2014, background): “Zhou and Teng (2013) use annual household survey data from Sichuan province to estimate the income and price elasticities of residential electricity demand from 2007 to 2009.”
• Determinants of high electrical energy demand in UK homes: Socio-economic and dwelling characteristics (2015, unknown): “The review also identified that dwellings with an electric space heating system [11–14,23,24,34,36], airconditioning [13,18,29,41,43,46] or electric water heating system [9,11,13,23,29,34,43] had greater electricity demand.”
• Understanding the spectrum of residential energy-saving behaviours: French evidence using disaggregated data (2016, unknown): “availability of disaggregated data, most of these studies use aggregated time series data, and only a few micro studies use the available householdlevel data (Zhou and Teng, 2013).”
• Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012 (2020, background): “Due to the lack of comprehensive household-level data, previous studies in China mainly focus on regional differences in energy use or are limited to one type of energy or one category of factors that influence energy consumption (e.g., Tonooka et al., 2006; Wang and Feng, 2003; Zhou and Teng, 2013)”