Household Appliance Ownership and Electricity Consumption in Ghana

SND-ID: 2023-283. Version: 1. DOI: https://doi.org/10.5878/pkjc-fc59

Is part of collection at SND: Environment for Development

Citation

Alternative title

Household Electricity Consumption Inefficiency and Poverty: Evidence from Ghana

Creator/Principal investigator(s)

Daniel Kwabena Twerefou - University of Ghana, Department of Economics

Research principal

University of Gothenburg - Environment for Development, School of Business Economics and Law rorId

Principal's reference number

MS-956

Description

The data contains information on household demographic and socioeconomic characteristics. The data was collected at the household level, hence, respondents are representatives of each household. It also provides information on electrical appliances owned by each household and their characteristics. Additionally, the data contains information on the monthly amount households pay for electricity and the kilowatts of electricity they consume in a month. The data also provides information on households' knowledge of the impact of electricity consumption on climate change and on the environment. Additionally, it provides information on conditions under which households will be willing to contribute towards climate change mitigation by promoting electricity consumption efficiency.

Data contains personal data

Yes

Type of personal data

Age, gender, income, ethnicity, region, district

Language

Method and outcome

Unit of analysis

Population

The data was collected at the household level, and respondents are representatives of households.

Time Method

Sampling procedure

Probability

The data contains a survey undertaken in three regions of Ghana: Greater Accra, Ashanti and the Northern regions to represent the Coastal, Forest and Savannah Zones respectively. We adopt a sampling design by the Ghana Statistical Service (GSS) used for the Ghana Living Standards Survey (GLSS). Based on the design, the GSS has listed rural and urban Enumeration Areas (EAs) in all the regions. We proportionally allocate the EAs to the regions sampled based on rural-urban stratification. Systematically, 20 households were selected from each EA following the ordered sampling frame. Consequently, 28, 19 and 8 urban EAs were interviewed in the Greater Accra, Ashanti and Northern regions respectively while the figures for the rural areas were 3, 12 and 11 for the Greater Accra, Ashanti and Northern regions respectively. Households in the EAs were located with the help of the household listing undertaken by the GSS containing the names, addresses and Global Positioning System location of all households within the EAs. We submitted all the data collection instruments and protocols for approval by th

... Show more..
The data contains a survey undertaken in three regions of Ghana: Greater Accra, Ashanti and the Northern regions to represent the Coastal, Forest and Savannah Zones respectively. We adopt a sampling design by the Ghana Statistical Service (GSS) used for the Ghana Living Standards Survey (GLSS). Based on the design, the GSS has listed rural and urban Enumeration Areas (EAs) in all the regions. We proportionally allocate the EAs to the regions sampled based on rural-urban stratification. Systematically, 20 households were selected from each EA following the ordered sampling frame. Consequently, 28, 19 and 8 urban EAs were interviewed in the Greater Accra, Ashanti and Northern regions respectively while the figures for the rural areas were 3, 12 and 11 for the Greater Accra, Ashanti and Northern regions respectively. Households in the EAs were located with the help of the household listing undertaken by the GSS containing the names, addresses and Global Positioning System location of all households within the EAs. We submitted all the data collection instruments and protocols for approval by the University of Ghana Ethics Committee for Humanities before going to the field Show less..

Time period(s) investigated

2022-04-16 – 2022-05-12

Variables

510

Number of individuals/objects

1580

Data format / data structure

Data collection
  • Mode of collection: Interview
  • Description of the mode of collection: The questionnaire instrument was coded in Computer-Assisted Personal Interviews (CAPI) and enumerators visited each household to conduct the interview. After each day's activity, the overseer goes through the reported data to identify any errors. If errors are detected, the enumerator re-visits the household the next day to collect the appropriate data.
  • Time period(s) for data collection: 2022-04-16 – 2022-05-12
  • Instrument: Questionnaire (Questionnaire) - The questionnaire instrument was coded in Computer-Assisted Personal Interviews (CAPI) and enumerators visited each household to conduct the interview.
  • Source of the data: Research data
Geographic coverage

Geographic spread

Geographic location: Ghana

Geographic description: Three regions of Ghana: Greater Accra, Ashanti and the Northern Regions were selected to represent the Coastal, Forest and Savannah Zones respectively for the survey. Following the sampling design by the Ghana Statistical Service (GSS) which is used for the Ghana Living Standard Survey (GLSS), we proportionally allocate the Enumeration Areas (EAs) to the regions sampled based on rural-urban stratification. Systematically, 20 households were selected from each EA following the ordered sampling frame. Consequently, 28, 19 and 8 urban EAs were interviewed in the Greater Accra, Ashanti and Northern Regions respectively while the figures for the rural areas were 3, 12 and 11 for the Greater Accra, Ashanti and Northern Regions respectively.

Highest geographic unit

Region

Administrative information

Responsible department/unit

Environment for Development, School of Business Economics and Law

Funding

  • Funding agency: Swedish International Development Cooperation Agency rorId
  • Funding agency's reference number: MS-956
  • Project name on the application: Household Electricity Consumption Inefficiency and Poverty: Evidence from Ghana

Ethics Review

Other - Ref. ECH 284/21-22

University of Ghana

Topic and keywords

Research area

Social sciences (Standard för svensk indelning av forskningsämnen 2011)

Economics (Standard för svensk indelning av forskningsämnen 2011)

Publications

Versions

Version 1. 2025-01-15

Version 1: 2025-01-15

DOI: https://doi.org/10.5878/pkjc-fc59

Contact for questions about the data

Agustin Petroni

data@efd.gu.se

Is part of collection at SND

Published: 2025-01-15