Investigating the residential electricity consumption-income nexus in Morocco: a stochastic impacts by regression on population, affluence, and technology analysis

In a comprehensive LMDI-STIRPAT-ARDL framework, this research investigates the residential electricity consumption (REC)-income nexus in Morocco for the period 1990 to 2018. The logarithmic mean Divisia index (LMDI) results show that economic activity and electricity intensity are the leading drivers of Morocco’s REC, followed by population and residential structure. And then, the LMDI analysis was combined with stochastic impacts by regression on population, affluence, and technology (STIRPAT) analysis and the bounds testing approach to search for a long-run equilibrium relationship. The empirical results show that REC, economic growth, urbanization, and electricity intensity are cointegrated. The results further show that there exists a U-shaped relationship between per capita gross domestic product (GDP) and REC: an increase in per capita GDP reduces REC initially; but, after reaching a turning point (the GDPPC level of 17,145.22 Dh), further increases in per capita GDP increase REC. Regarding urbanization, the results reveal that it has no significant impact on Morocco’s REC. The stability parameters of the short and long-term coefficients of residential electricity demand function are tested. The results of these tests showed a stable pattern. Finally, based on the findings mentioned above, policy implications for guiding the country's development and electricity planning under energy and environmental constraints are given.

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The impact of age groups on consumption of residential electricity in Azerbaijan

Communist and Post-Communist Studies ◽

10.1016/j.postcomstud.2017.09.005 ◽

2017 ◽

Vol 50 (4) ◽

pp. 339-351 ◽

Cited By ~ 4

Author(s):

Fakhri J. Hasanov ◽

Jeyhun I. Mikayilov

Keyword(s):

Age Groups ◽

Electricity Consumption ◽

Correction Method ◽

Small Samples ◽

Bounds Testing ◽

Residential Electricity ◽

Working Age ◽

Residential Electricity Consumption ◽

Social Environmental ◽

The Impact

In this study, we examined the impacts of population age groups of 0–14, 15–64 and 65-above on residential electricity consumption in Azerbaijan within the STIRPAT framework. Unlike many prior studies of STIRPAT framework, we analyzed this impact, employing co-integration and error correction method in order to rule out possible spurious estimation results caused by non-stationary data used. Results from the Autoregressive Distributed Lags Bounds Testing approach, which is the preferred method among alternatives in the case of small samples, indicated that the affluence together with age groups have significant impact on the residential electricity consumption in Azerbaijan and the biggest effect comes from the age group of 15–64, which is the working age population. Another finding of the study is that if there is any (economic, social, environmental, etc.) shock to the system that initially affect residential electricity consumption and affluence, the whole shock will be absorbed by the system less than in one year. Findings of the study may be useful in making appropriate decisions in the fields of residential electricity consumption.

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Residential Electricity Consumption in Las Cruces, New Mexico, USA

Research in Applied Economics ◽

10.5296/rae.v12i3.16883 ◽

2020 ◽

Vol 12 (3) ◽

pp. 19

Author(s):

Thomas M Fullerton ◽

Francisco F. Mejía

Keyword(s):

New Mexico ◽

Capita Income ◽

Electricity Consumption ◽

Degree Days ◽

Long Run ◽

Residential Electricity ◽

Short Run ◽

Per Capita ◽

Residential Electricity Consumption ◽

Residential Consumption

This study examines how residential electricity consumption (KWHC) reacts to changes in the price of electricity, the price of natural gas, real income per capita, heating degree days, and cooling degree days. Annual frequency data analyzed are for Las Cruces, the second largest metropolitan economy in New Mexico. The sample period is 1977 to 2016. An AutoregressiveDistributed Lag model (ARDL) is employed to obtain long-run and short-run elasticities. In the long-run, residential consumption does not respond in a statistically reliable manner to any of the explanatory variables. All of the coefficient signs are as expected and those for real per capita income and total degree days appear plausible. In the short-run, residential consumption responds reliably to variations in all of the variables except per capita income. Somewhat surprisingly, the short-run results also include an own-price elasticity that is close to zero, implying that residential electricity has a horizontal demand curve in Las Cruces.

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Nexus between residential electricity consumption and household characteristics: heterogeneous urban and rural panel evidences from North China

E3S Web of Conferences ◽

10.1051/e3sconf/202125702011 ◽

2021 ◽

Vol 257 ◽

pp. 02011

Author(s):

Mingliang Liang ◽

Wenxuan Li ◽

Jie Ji ◽

Lili Liu ◽

Shiying Zhang ◽

...

Keyword(s):

Influencing Factors ◽

North China ◽

Electricity Consumption ◽

Rural Residents ◽

The Sustainable Development ◽

Household Characteristics ◽

Residential Electricity ◽

Per Capita ◽

Residential Electricity Consumption ◽

The Impact

With the growth of residential electricity consumption and the development of power energy conservation, exploring the factors that affect residential electricity consumption is of great significance for promoting the sustainable development of the regional economy-power system. This paper examines the influencing factors of residential electricity consumption according to the data in 6 provinces in North China over 2008-2018, and two panels named urban panel and rural panel are constructed. Three conventional influencing factors are selected in this paper, namely, population (POP), per capita disposable income (DI) and per capita consumption expenditure (PCCE). Furthermore, considering that household characteristics have an impact on residential electricity consumption, this paper adds the number of household appliances (HA) and the per capita housing area (LS) into the factor set. Heterogeneous panel analysis techniques are applied to achieve the analysis, finding that household characteristics have significant impacts on electricity consumption of urban and rural residents, and the impact on electricity consumption of urban residents is greater than that on rural residents. Based on the empirical results, this paper puts forward several policy recommendations to effectively improve the residential electricity consumption and reduce the gap between urban and rural residential electricity consumption.

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Forecasting Residential Electricity Based on FOAGMNN

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.860-863.2513 ◽

2013 ◽

Vol 860-863 ◽

pp. 2513-2517 ◽

Cited By ~ 1

Author(s):

Dong Xiao Niu ◽

Ting Ting Chen ◽

Peng Wang ◽

Yan Chao Chen

Keyword(s):

Correlation Analysis ◽

Influencing Factors ◽

Electricity Consumption ◽

The Other ◽

Disposable Income ◽

Proposed Model ◽

Forecasting Method ◽

Residential Electricity ◽

Per Capita ◽

Residential Electricity Consumption

This paper puts forward a residential electricity forecasting method based on FOAGMNN. Correlation analysis was adopted to select the key influencing factors of residential electricity forecasting. Finally, annual disposable income, population, households, per capita floor space, preceding electricity consumption are choosed as the key influencing factors. Through simulation example using the data of Hangzhou residential electricity consumption from 2000 to 2011, the results showed that the proposed model outperformed the other models and is suitable for residential electricity prediction.

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