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Summary information

Study title

Cross-Sectional Survey Data To Assess the Socio-Economic Impact of Solar Mini-Grid Electrification in Rural Off-Grid Ethiopia, 2022-2023

Creator

Wassie, Y, Chalmers University of Technology

Study number / PID

857347 (UKDA)

10.5255/UKDA-SN-857347 (DOI)

Data access

Open

Series

Not available

Abstract

This dataset is part of a larger research project that the Chalmers University of Technology conducts in east Africa with respect to solar PV powered mini-grids, rural electrification, and its impact on sustainable development goals. The aim of the data collection was thus to gather relevant social, economic, electrification, geographic, demographic and energy use data in order to investigate the impact of solar mini-grids on the economic development, income generation and biomass fuel consumption of rural off-grid households in two remote towns in Ethiopia. Since, the data analysis approach to be used was initially determined to be Propensity Score Method (PSM), the data collection was made in two separate groups: Intervention (mini-grid electrified) groups, and control (non-electrified) groups.

As part of efforts to increase access to electricity and promote socio-economic development in rural areas, many sub-Saharan African countries are deploying decentralized solar mini-grids. However, little empirical research has been done to examine the impact of these technologies. Using propensity score matching, this paper examines the effects of rural electrification through distributed solar mini-grids on household income, wood-fuels use and kerosene expenditures. Data were collected from a survey of 464 sample households (212 electrified and 252 non-electrified) in two remote towns in Ethiopia.

Topics

Economics

Keywords

ECONOMIC ANALYSISENERGY GENERATIONRURAL DEVELOPMENTAFRICA SOUTH OF THE SAHARASOLAR ENERGYELECTRICAL ENERGY CONSUMPTION2024

Methodology

Data collection period

01/12/2022 - 01/02/2023

Country

Ethiopia

Time dimension

Not available

Analysis unit

Household

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric

Data collection mode

The data collection method used is Survey, administered through through face-to-face interviews with a total of 464 sample rural households and small businesses in two remote towns in southern Ethiopia. Of the total 464 HHs, 212 are electrified (intervention group– IG), and 252 are non-electrified (control group–CG). A multi-stage purposive random sampling technique is used to select sample HHs for the survey in each town. First, all MG-electrified HHs in each town were identified from the EEU’s complete list of legally connected customers. The district EEU office keeps track record of its customers including the customer's name, address, date of electrification, electricity consumed, etc. In the second stage, all HHs that had been electrified during the first two months of the MGs’ operation were identified and a list of HHs for the IG was created. The “initial two-month electrification” criterion was deliberately set to ensure that the treatment (electrification) is a point-treatment rather than a time-varying treatment where HHs receive MG connection at various time points. This is because, in a time-varying treatment situation, the difference in the treatment period can confound the estimated average treatment effect on the treated HHs – our outcome variable (VanderWeele and Hernan, 2013).

Funding information

Grant number

Swedish Research Council

Access

Publisher

UK Data Service

Publication year

2024

Terms of data access

The Data Collection is available to any user without the requirement for registration for download/access.

Related publications

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