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Household Appliance Ownership and Electricity Consumption in Ghana

Household Electricity Consumption Inefficiency and Poverty: Evidence from Ghana
https://doi.org/10.5878/pkjc-fc59
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.
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Documentation files

  • Codebook_EfD Project MS-956_curated.docx
    79.86 KiB
  • Questionnaire_EfD Project MS-956_curated.docx
    190.97 KiB
  • readme.txt.txt
    135 Bytes

Citation and access

Data access level:

Creator/Principal investigator(s):

  • Daniel Kwabena Twerefou - University of Ghana - Department of Economics

Research principal:

Principal's reference number:

  • MS-956

Data contains personal data:

Yes

Type of personal data:

Age, gender, income, ethnicity, region, district

Citation:

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:

Description of sampling:

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

Time period(s) investigated:

Variables:

510

Number of individuals/objects:

1580

Data format/data structure:

Data collection Interview

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

Source of the data:

  • Research data

Instrument

Name:

Questionnaire

Type:

Questionnaire

Description of the instrument:

The questionnaire instrument was coded in Computer-Assisted Personal Interviews (CAPI) and enumerators visited each household to conduct the interview.

Geographic coverage

Geographic location:

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

Ethics Review:

Other - ECH 284/21-22

University of Ghana

Funding

Funding agency:

Award number:

MS-956

Award title:

Household Electricity Consumption Inefficiency and Poverty: Evidence from Ghana

Topic and keywords

Standard för svensk indelning av forskningsämnen 2025:

Keywords:

Contact

Metadata

Version 1
doris
gu_en
Published: