Lighting and cooking fuel choices of households in Kisumu City, Kenya: A multidimensional energy poverty perspective

Abstract The present study aims to contextualize populations without access to modern energy in order to formulate effective policy considerations on modern energy adoption and continuity of usage by target groups. This objective was achieved by illustrating the linkage between fuel choice and energy poverty in low income households in an urban context. It employs a cross-sectional energy stacking model to illustrate fuel choice and the multidimensional energy poverty (MEP) index to establish the severity of energy poverty in low income households in Kisumu City, Kenya. The study also incorporates pico-solar products (PSPs) users, as this disruptive technology entered the Kenyan solar market in recent years, targeting low income households using kerosene for lighting purposes. The study identifies energy appliance type and household cooking location as key determinants of household energy choice. Moreover, the main determinants for household energy choice in households facing higher levels of energy poverty were closely associated with access concerns, whereas determinants in households facing lower levels of energy poverty were more associated with usage concerns as they already had access to modern energy. It was also noted that preferences were related to attributes of the energy source both experienced by current users and perceived by current non-users. There was a substantial persistent use of kerosene as an alternative lighting source among current PSPs users. There is a general preference and desire to use modern energy sources across most households, irrespective of the severity of energy poverty. For meaningful improvement to be realized towards meeting the energy SDG by 2030, national and local energy policies should consider the energy technology adoption perception and behaviours of populations currently not having modern energy access. In conclusion, it is of great importance to put into context the specific characteristics of the households as well as user perspectives and how these characteristics and perspectives would affect continuity of usage of the modern energy source adopted.

[1]  Daniel M. Kammen,et al.  Engineering, institutions, and the public interest: Evaluating product quality in the Kenyan solar photovoltaics industry , 2007 .

[2]  Fidelis O. Ogwumike,et al.  Analysis of energy poverty and its implications for sustainable development in Nigeria , 2015, Environment and Development Economics.

[3]  M O Pundo,et al.  Multinomial logit analysis of household cooking fuel choice in rural Kenya: The case of Kisumu district , 2006 .

[4]  Anil Markandya,et al.  Rural electrification programmes in Kenya: Policy conclusions from a valuation study , 2012 .

[5]  Roy Brouwer,et al.  The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis , 2013 .

[6]  O. Edenhofer,et al.  Renewable Energy Sources and Climate Change Mitigation , 2011 .

[7]  Benjamin K. Sovacool,et al.  Paradigms and poverty in global energy policy: research needs for achieving universal energy access , 2016 .

[8]  H. Riojas-Rodríguez,et al.  Household Firewood Use and the Health of Children and Women of Indian Communities in Chiapas, Mexico , 2001, International journal of occupational and environmental health.

[9]  Sheila Oparaocha,et al.  Gender and energy for sustainable development , 2011 .

[10]  S. Alkire,et al.  Counting and Multidimensional Poverty , 2008 .

[11]  Vincenzo Balzani,et al.  Energy for a Sustainable World: From the Oil Age to a Sun-Powered Future , 2011 .

[12]  J. Kurui,et al.  The prevalence of acute respiratory infections and the associated risk factors: a study of children under five years of age in Kibera Lindi Village, Nairobi, Kenya. , 2002 .

[13]  M. Shkaratan,et al.  Powering Africa: Meeting the financing and reform challenges , 2012 .

[14]  Vijay Modi,et al.  Measuring energy poverty: Focusing on what matters , 2012 .

[15]  Shonali Pachauri,et al.  Reaching an international consensus on defining modern energy access , 2011 .

[16]  Fiona Zuzarte,et al.  Market Barriers to Clean Cooking Fuels in Sub-Saharan Africa: A Review of Literature , 2008 .

[17]  D. Kammen,et al.  The contributions of emissions and spatial microenvironments to exposure to indoor air pollution from biomass combustion in Kenya. , 2000, Environmental health perspectives.

[18]  Morgan Bazilian,et al.  Making energy access meaningful , 2013 .

[19]  Ivan Nygaard,et al.  Review of solar PV policies, interventions and diffusion in East Africa , 2015 .

[20]  Janosch Ondraczek The sun rises in the east (of Africa): A comparison of the development and status of solar energy markets in Kenya and Tanzania , 2013 .

[21]  S. M. Waita,et al.  Promotion of PV Uptake and Sector Growth in Kenya through Value Added Training in PV Sizing, Installation and Maintenance , 2014 .

[22]  Maria Emma Santos,et al.  Acute Multidimensional Poverty: A New Index for Developing Countries , 2010 .

[23]  Benjamin K. Sovacool,et al.  What moves and works: Broadening the consideration of energy poverty , 2012 .

[24]  Mark Howells,et al.  Global Insights Based on the Multidimensional Energy Poverty Index (MEPI) , 2013 .

[25]  Akhtar Abbas,et al.  An Investigation of Multidimensional Energy Poverty in Pakistan: A Province Level Analysis , 2013 .

[26]  Robert Byrne,et al.  Beyond technology and finance: pay-as-you-go sustainable energy access and theories of social change , 2015 .

[27]  M. Shkaratan,et al.  Africa's Power Infrastructure: Investment, Integration, Efficiency , 2011 .

[28]  K. Kaygusuz Energy for sustainable development: A case of developing countries , 2012 .

[29]  D. Barnes,et al.  Connection Charges and Electricity Access in Sub-Saharan Africa , 2013 .

[30]  Nigel Bruce,et al.  Indoor air pollution from biomass fuel smoke is a major health concern in the developing world , 2008, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[31]  T. M. Karimo,et al.  Multidimensional Energy Poverty in the South-South Geopolitical Zone of Nigeria , 2013 .

[32]  S. Alkire,et al.  Counting and Multidimensional Poverty Measurement , 2010 .