Nonlinear Effect Analysis of Electricity Price on Household Electricity Consumption

The household energy consumption has been a hot field in the study of household energy consumption in recent years. With the increase of residents’ income level and the pushing of urbanization, there is a complex nonlinear relationship between energy price and energy consumption. The purpose of this paper is to investigate the scenario effect of per capita income and regional differences in urbanization development on the relationship between electricity sales price and urban household electricity consumption. To this direction, based on the regional characteristics of economic development in China, with the residents’ disposable income and the urbanization level as the conversion variables and the electricity sales price as the core explanatory variable, the panel smooth transition regression (PSTR) model of electricity sales price and urban household electricity consumption from the perspectives of income level and urbanization has been constructed in this paper. The empirical results show the following: (1) Under the consideration of regional difference of residents’ income level, with the increase of residents’ disposable income level, there is a significant negative correlation between electricity sales price and urban household electricity consumption in the whole country, the eastern region, and the central region, while such correlation is significantly positive in the western region. (2) Under the consideration of the difference of urbanization development level, the national regional electricity sales price and the urbanization level are positively related to the urban household electricity consumption, and the urbanization level in the western region plays the biggest role in promoting the urban household electricity consumption, followed by the eastern region and then the central region which plays the smallest role. This paper discusses the effect of electricity sales price on urban household electricity consumption from the perspective of regional difference in income and urbanization, which provides the decision-making basis and empirical support for developing regional electricity price policy and household energy consumption policy.

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Urban Household Energy Consumption Forecasting Based on Energy Price Impact Mechanism

Frontiers in Energy Research ◽

10.3389/fenrg.2021.802697 ◽

2021 ◽

Vol 9 ◽

Author(s):

Zhang Lianwei ◽

Xiaoni Wen

Keyword(s):

Economic Development ◽

Energy Consumption ◽

Natural Gas ◽

Energy Price ◽

Household Energy ◽

Urban Household ◽

Income Levels ◽

Household Energy Consumption ◽

Gas Consumption ◽

Natural Gas Consumption

The energy price influence system is one of the key mechanisms in the study of energy consumption. China’s household energy consumption has obvious regional differences, and rising income levels and urbanisation have changed the willingness and ability of households to make energy consumption choices. Based on the linear price effect of household energy consumption, this paper explores the scenario characteristics of energy prices affecting energy consumption, taking electricity and natural gas consumption as examples. Based on household energy consumption statistics from 2005 to 2018 in 36 major cities across China, the accuracy and change trends of household energy consumption forecasts are investigated through the decision tree-support vector machine (DT-SVR) non-linear forecasting technique. The study shows that the non-linear forecasting technique accurately portrays the predicted trends of changes in total urban household electricity and natural gas consumption. Within the less developed regions of economic development, income levels are still the main constraint on changes in urban household energy consumption, and the stimulating effect of income levels on household energy consumption has not been seen in the process of economic development in these less developed regions. Urbanisation as an important factor in examining household energy consumption, different development patterns and development processes will gradually be reflected in scenario aspects such as the choice of urban household energy consumption and changes in total consumption.

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Comparative Analysis of Household Energy Consumption in Ibadan Region; A Spatio-quantitative Approach

Advanced Journal of Social Science ◽

10.21467/ajss.3.1.34-46 ◽

2018 ◽

Vol 3 (1) ◽

pp. 34-46

Author(s):

Oyeleke Oluwaseun Oyerinde

Keyword(s):

Energy Consumption ◽

Rural Areas ◽

Energy Use ◽

Electricity Consumption ◽

Household Energy ◽

Heating Value ◽

Household Energy Consumption ◽

Urban Households ◽

End Use ◽

Urban And Rural Areas

Understanding locational variations in household energy consumption is critical to ascertaining dichotomies of energy use, need and wellbeing. In recognition of this, the study compares quantities of household energy consumption among urban, peri-urban and rural areas in Ibadan region, Nigeria using Net Heating Value (NHV). It employs a stratified random sampling of 166 households across the three zones. Results show that electricity, majorly used for appliances is dominant in the urban in contrast to fuelwood at the peri-urban and rural areas where cooking is the major end use. Though the quantities of total household energy consumption do not vary significantly at p < .05, electricity consumption is however significantly higher in urban households than in peri-urban and rural households. The Multiple Regression Analysis (MRA) and Analysis of Variance (ANOVA) indicate that socioeconomic characteristics significantly influenced the quantity of household energy consumption at the urban area only. Major variations between locations appear to be in energy types and end uses rather than quantity consumed.

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Role analysis of women in electricity consumption at domestic level

Environment Conservation Journal ◽

10.36953/ecj.2021.22333 ◽

2021 ◽

Vol 22 (3) ◽

pp. 281-287

Author(s):

Bijoylaxmi Bhuyan ◽

Ruplekha Borah

Keyword(s):

Energy Consumption ◽

Special Reference ◽

Electricity Consumption ◽

Active Role ◽

Household Energy ◽

Household Energy Consumption ◽

Role Analysis ◽

Medium Level ◽

Awareness Programs ◽

Domestic Level

Women play an especial prominent role in buying things that provide sustenance for home and family. Therefore, this study was under taken to see how women play their role with special reference to electricity consumption and what can be done to improve it. ‘Awareness,’ ‘opinion’ and ‘practice’ of respondents regarding issues related to electricity consumption for household use revealed that ‘Awareness’, ‘Opinion’ and ‘Practices’ of the respondents were of ‘medium’ level. Looking at the women’s prominent role in household energy consumption they can be given some awareness programs to further play active role as consumer and conserve electricity.

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Factors affecting Chinese urban household energy consumption and spatial differences based on static panel data modelling for eight regions

资源科学 ◽

10.18402/resci.2016.12.09 ◽

2016 ◽

Vol 38 (12) ◽

pp. 52-63 ◽

Cited By ~ 1

Author(s):

LIU Manzhi

Keyword(s):

Energy Consumption ◽

Panel Data ◽

Data Modelling ◽

Household Energy ◽

Urban Household ◽

Factors Affecting ◽

Household Energy Consumption ◽

Spatial Differences

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Towards a Systemic Assessment of Gendered Energy Transition in Urban Households

Energies ◽

10.3390/en14217251 ◽

2021 ◽

Vol 14 (21) ◽

pp. 7251

Author(s):

Josephine Kaviti Musango ◽

Andrea M. Bassi

Keyword(s):

Energy Consumption ◽

Urban Policy ◽

Energy Transition ◽

Model Parameters ◽

Total Energy Consumption ◽

Household Energy ◽

Subsidy Policy ◽

Urban Household ◽

Household Energy Consumption ◽

Energy Subsidy

Assessment of gendered energy transition at an urban scale has emerged as a challenging issue for researchers, policy makers and practitioners. With municipalities becoming players in the energy markets, their involvement raises policy issues that need to be better assessed in supporting gendered energy transition. This paper, therefore, contributes to gendered energy transition assessments at urban household level from a policy maker perspective. We developed a system dynamics model to assess the effects of urban energy policy interventions on household energy consumption and gendered measures using Drakenstein Municipality as a case study. The study used secondary data from various sources for the model parameters. We tested three hypothetical policy scenarios: the business-as-usual, the energy subsidy policy and the energy efficiency policy. The results show that understanding the changes in urban household energy consumption and gendered measures due to energy transition interventions is essential for urban policy planning. The energy subsidy policy scenario was observed to increase total energy consumption but also resulted in socio-environmental impacts that might increase inequality and impair human health. Urban household energy transition interventions need to consider a systems approach to develop decision support tools that capture the cross-sector impacts and inform the development of interventions that promote gendered household energy transition.

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Empirical Analysis of the Impact of COVID-19 Social Distancing on Residential Electricity Consumption Based on Demographic Characteristics and Load Shape

Energies ◽

10.3390/en14227523 ◽

2021 ◽

Vol 14 (22) ◽

pp. 7523

Author(s):

Minseok Jang ◽

Hyun Cheol Jeong ◽

Taegon Kim ◽

Dong Hee Suh ◽

Sung-Kwan Joo

Keyword(s):

Energy Consumption ◽

Electricity Consumption ◽

Time Varying ◽

Residential Energy ◽

Residential Energy Consumption ◽

Household Energy ◽

Social Distancing ◽

Household Energy Consumption ◽

Load Shape ◽

The Impact

Since January 2020, the COVID-19 pandemic has been impacting various aspects of people’s daily lives and the economy. The first case of COVID-19 in South Korea was identified on 20 January 2020. The Korean government implemented the first social distancing measures in the first week of March 2020. As a result, energy consumption in the industrial, commercial and educational sectors decreased. On the other hand, residential energy consumption increased as telecommuting work and remote online classes were encouraged. However, the impact of social distancing on residential energy consumption in Korea has not been systematically analyzed. This study attempts to analyze the impact of social distancing implemented as a result of COVID-19 on residential energy consumption with time-varying reproduction numbers of COVID-19. A two-way fixed effect model and demographic characteristics are used to account for the heterogeneity. The changes in household energy consumption by load shape group are also analyzed with the household energy consumption model. There some are key results of COVID-19 impact on household energy consumption. Based on the hourly smart meter data, an average increase of 0.3% in the hourly average energy consumption is caused by a unit increase in the time-varying reproduction number of COVID-19. For each income, mid-income groups show less impact on energy consumption compared to both low-income and high-income groups. In each family member, as the number of family members increases, the change in electricity consumption affected by social distancing tends to decrease. For area groups, large area consumers increase household energy consumption more than other area groups. Lastly, The COVID-19 impact on each load shape is influenced by their energy consumption patterns.

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Urban Household Energy Consumption Structure in China (Part I)-Analysis of Trends from 1981 to 2000-

Journal of the Japan Institute of Energy ◽

10.3775/jie.85.371 ◽

2006 ◽

Vol 85 (5) ◽

pp. 371-380

Author(s):

Yadong NING ◽

Yutaka TONOOKA ◽

Hailin Mu ◽

Yasuhiko KONDO ◽

Weisheng ZHOU

Keyword(s):

Energy Consumption ◽

Household Energy ◽

Urban Household ◽

Household Energy Consumption ◽

Consumption Structure

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Analisis Konsumsi Energi Rumah Tangga Perkotaan di Indonesia: Periode Tahun 2008 dan 2011

Jurnal Ekonomi dan Pembangunan Indonesia ◽

10.21002/jepi.v16i2.588 ◽

2016 ◽

Vol 16 (2) ◽

pp. 141-153 ◽

Cited By ~ 1

Author(s):

Muhammad Nazer ◽

Hefrizal Handra

Keyword(s):

Energy Consumption ◽

Income Elasticity ◽

Total Energy Consumption ◽

Household Energy ◽

Main Determinant ◽

Urban Household ◽

Household Energy Consumption ◽

Energy Consumption Analysis ◽

Consumption Energy ◽

Determinant Factor

Urban Household Energy Consumption Analysis in Indonesia: Period of 2008 and 2011The goal of the study is to analyze the pattern and the change of urban household energy consumption and their determinant factors in Indonesia period of 2008 and 2011 using SUSENAS data of household budget survey. The concept of energy ladder and fuel stacking (multi fuel) are used to make a model of household energy consumption. The result of study shows that total energy consumption was increase in the period of 2008 and 2011. Coefficient of income elasticity toward both of modern and traditional energy consumption are positive, it means that there is rising consumption of energy along with the rising income. Household income is the main determinant factor of energy used by household besides other non-economic factors.Keywords: Energy Consumption; Energy Ladder; Household Energy AbstrakPenelitian ini bertujuan untuk menganalisis pola dan perubahan konsumsi energi rumah tangga daerah perkotaan di Indonesia serta faktor-faktor yang memengaruhinya tahun 2008 dan 2011 dengan memanfaatkan data hasil survei pengeluaran rumah tangga SUSENAS. Konsep energy ladder dan fuel stacking (multi-fuel) diaplikasikan untuk membuat model konsumsi energi rumah tangga. Hasil penelitian memperlihatkan bahwa konsumsi energi (total), modern, dan tradisional rumah tangga perkotaan mengalami kenaikan pada periode tahun 2008 dan 2011. Koefisien elastisitas pendapatan terhadap konsumsi energi modern dan tradisional bernilai positif, yang berarti bahwa terjadi peningkatan konsumsi energi modern dan tradisional sejalan dengan peningkatan pendapatan. Pendapatan rumah tangga adalah faktor yang paling menentukan konsumsi energi rumah tangga di samping faktor non-ekonomi lainnya seperti luas lantai rumah dan jumlah anggota rumah tangga.

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