The impact of electricity access on education in Kenya

As an integral component of modern society, access to electricity plays a pivotal role in economic prosperity. Its influence reaches to the foundations of industrial development, with the potential to enrich everything from healthcare, to transportation, to utilities and manufacturing. In this thesis, I explore the relationship between electricity and a fundamental contributor to economic growth: education. More specifically, I ask whether and how access to electricity improves educational outcomes in Kenya, one of the fastest growing countries in Africa where electricity demand has substantially outpaced its supply. A handful of prior studies have found mixed results in terms of the impact of electricity access on educational attainment in developing countries. Recent literature has recognized the endogeneity issue of electricity access, but it does not explore the potential mechanisms of the effect of electricity on educational outcomes. To address both issues, I use proximity to pre-existing transmission lines as an instrument for electricity access to estimate the effect on the average years of education for household clusters. On average, the number of years of schooling for households with electricity access is 4.1 higher than the ones without. The results under a traditional 2SLS framework show that electricity access plays an important role in improved educational attainment. In particular, when controlling for county and year fixed effects, gaining electricity access increases cluster-level average years of schooling by about 3.3 to 7.8 years. Moreover, nightlight brightness does not contribute additionally to educational attainment on top of the overall electricity access. This result is consistent with the one under a spatially lagged 2SLS framework, suggesting that electricity access contributes to improved educational attainment through mechanisms other than simply illumination.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Agricultural & Applied Econ

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Ye, Guyu

Contributors dc:contributor

• Baylis, Kathy
• Myers, Erica
• Deal, Brian

• Electricity access
• Energy poverty
• Education
• Spatial econometrics
• Energy planning
• Machine learning

Statement dc:rights

• Copyright 2017 Guyu Ye

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/97457

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/97457