Households’ Electricity Consumption in Hungarian Urban Areas
The aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/10/2899 |
| _version_ | 1797533723643609088 |
|---|---|
| author | Ferenc Bakó Judit Berkes Cecília Szigeti |
| author_facet | Ferenc Bakó Judit Berkes Cecília Szigeti |
| author_sort | Ferenc Bakó |
| collection | DOAJ |
| description | The aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be used for this purpose; however, the results obtained with the traditional regression method are compared with the results of another, more complex estimation method, the artificial neural network, which has the advantage of being able to use different types of models. The focus of our article is on methodological alignment, not necessarily the discovery of new results. Certain demographic characteristics significantly determine the energy demand of a household sector in a municipality. In this case, as the ratio of people aged 60 or over within a city rises by 1%, the urban household average energy consumption decreases by 61 kilowatt hours, and when it rises by 1%, the amount of pollutants expelled from urban households’ average energy consumption may decrease by 22.8745 kg. The research area of our paper was greatly influenced by the availability of the statistical data. The results can be used in the planning of urban developments. |
| first_indexed | 2024-03-10T11:19:39Z |
| format | Article |
| id | doaj.art-0b5065d46872432485446939eb50a34f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T11:19:39Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0b5065d46872432485446939eb50a34f2023-11-21T20:08:36ZengMDPI AGEnergies1996-10732021-05-011410289910.3390/en14102899Households’ Electricity Consumption in Hungarian Urban AreasFerenc Bakó0Judit Berkes1Cecília Szigeti2Doctoral School of Regional and Economic Sciences, Széchenyi István University, 9026 Győr, HungaryDepartment of Economic Analysis, Kautz Gyula Economics Faculty, Széchenyi István University, 9026 Győr, HungaryDepartment of International and Theoretical Economics, Kautz Gyula Economics Faculty, Széchenyi István University, 9026 Győr, HungaryThe aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be used for this purpose; however, the results obtained with the traditional regression method are compared with the results of another, more complex estimation method, the artificial neural network, which has the advantage of being able to use different types of models. The focus of our article is on methodological alignment, not necessarily the discovery of new results. Certain demographic characteristics significantly determine the energy demand of a household sector in a municipality. In this case, as the ratio of people aged 60 or over within a city rises by 1%, the urban household average energy consumption decreases by 61 kilowatt hours, and when it rises by 1%, the amount of pollutants expelled from urban households’ average energy consumption may decrease by 22.8745 kg. The research area of our paper was greatly influenced by the availability of the statistical data. The results can be used in the planning of urban developments.https://www.mdpi.com/1996-1073/14/10/2899environmental economicsenergy consumptionCO<sub>2</sub> emissionnon-linear estimationurban pollutantANN |
| spellingShingle | Ferenc Bakó Judit Berkes Cecília Szigeti Households’ Electricity Consumption in Hungarian Urban Areas Energies environmental economics energy consumption CO<sub>2</sub> emission non-linear estimation urban pollutant ANN |
| title | Households’ Electricity Consumption in Hungarian Urban Areas |
| title_full | Households’ Electricity Consumption in Hungarian Urban Areas |
| title_fullStr | Households’ Electricity Consumption in Hungarian Urban Areas |
| title_full_unstemmed | Households’ Electricity Consumption in Hungarian Urban Areas |
| title_short | Households’ Electricity Consumption in Hungarian Urban Areas |
| title_sort | households electricity consumption in hungarian urban areas |
| topic | environmental economics energy consumption CO<sub>2</sub> emission non-linear estimation urban pollutant ANN |
| url | https://www.mdpi.com/1996-1073/14/10/2899 |
| work_keys_str_mv | AT ferencbako householdselectricityconsumptioninhungarianurbanareas AT juditberkes householdselectricityconsumptioninhungarianurbanareas AT ceciliaszigeti householdselectricityconsumptioninhungarianurbanareas |