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

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.<p>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.</p>

本数据集是查尔姆斯理工大学在东非开展的一项更大规模研究项目的组成部分，该项目聚焦太阳能光伏（PV）微电网、农村电气化及其对可持续发展目标的影响。数据收集的核心目标是获取相关的社会、经济、电气化、地理、人口统计及能源使用数据，以探究太阳能微电网对埃塞俄比亚两个偏远城镇中农村无电网家庭的经济发展、收入创造及生物质燃料消耗的影响。由于初始确定采用倾向得分法（PSM）作为数据分析方法，数据收集被划分为两组：干预组（微电网通电）与对照组（未通电）。<p>作为提升农村电力可及性及推动社会经济发展举措的一部分，众多撒哈拉以南非洲国家正部署分布式太阳能微电网。然而，针对此类技术影响的实证研究相对匮乏。本文运用倾向得分匹配法，考察了通过分布式太阳能微电网实现的农村电气化对家庭收入、木燃料使用及煤油支出的效应。数据来源于埃塞俄比亚两个偏远城镇464户样本家庭（212户通电、252户未通电）的调查。