1,721,041 research outputs found
An update to: Short-run effects of grid electricity access on rural non-farm entrepreneurship and employment in Ethiopia and Nigeria
No full textAn update to: Pelz, Setu, Shonali Pachauri, and Giacomo Falchetta. “Short-Run Effects of Grid Electricity Access on Rural Non-Farm Entrepreneurship and Employment in Ethiopia and Nigeria.” World Development Perspectives 29 (March 2023): 100473. https://doi.org/10.1016/j.wdp.2022.100473
Replication archive for: Fairness considerations in global mitigation investments, S. Pachauri et al., Science 10.1126/science.adf0067
No full textReplication archive for: Fairness considerations in Global Mitigation Investments, by Shonali Pachauri, Setu Pelz, Christoph Bertram, Silvie Kreibiehl, Narasimha D. Rao, Youba Sokona and Keywan Riahi, Science (2022), 10.1126/science.adf0067Please cite the publication: S. Pachauri et al., Science 10.1126/science.adf006
Energy for a Shared Development Agenda: Global Scenarios and Governance Implications
No full textEnergy for a shared development agenda: Global scenarios and governance implications / Måns Nilsson, Charles Heaps, Åsa Persson, Marcus Carson, Shonali Pachauri, Marcel Kok, Marie Olsson, Ibrahim Rehman, Roberto Schaeffer, Davida Wood, Detlef van Vuuren, Keywan Riahi, Branca Americano, and Yacob Mulugetta. Stockholm Environment Institute, June 2012, 150 p. http://www.sei-international.org/mediamanager/documents/Publications/SEI-ResearchReport-EnergyForASharedDevelopmentAgenda-2012.pdf -- SEI ..
Replication Data for: Application of an alternative framework for measuring progress towards SDG 7.1
No full textReplication material for: Pelz, Setu, Shonali Pachauri and Narasimha Rao, "Application of an alternative framework for measuring progress towards SDG 7.1" Environmental Research Letters.
The survey data included in this archive come from the World Bank Energy Sector Management Assistance Program (ESMAP) Multi-Tier Framework for measuring energy access (MTF), accessible at energydata.info
Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa
No full textEnergy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa / Morgan Bazilian, Patrick Nussbaumer, Hans-Holger Rogner, Abeeku Brew-Hammond, Vivien Foster, Shonali Pachauri, Eric Williams, Mark Howells, Philippe Niyongabo, Lawrence Musaba, Brian Ó Gallachóir, Mark Radka, Daniel M. Kammen. FEEM, 2011, 36 p. (Note di lavoro ; 2011.068 ) http://www.feem.it/userfiles/attach/2011912934264NDL2011-068.pdf In order to reach a goal of universal access to modern energy services in Africa ..
Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa
No full textEnergy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa / Morgan Bazilian, Patrick Nussbaumer, Hans-Holger Rogner, Abeeku Brew-Hammond, Vivien Foster, Shonali Pachauri, Eric Williams, Mark Howells, Philippe Niyongabo, Lawrence Musaba, Brian Ó Gallachóir, Mark Radka, Daniel M. Kammen. FEEM, 2011, 36 p. (Note di lavoro ; 2011.068 ) http://www.feem.it/userfiles/attach/2011912934264NDL2011-068.pdf In order to reach a goal of universal access to modern energy services in Africa ..
1 FUEL CHOICES IN URBAN INDIAN HOUSEHOLDS
No full textThis paper applies an ordered discrete choice framework to model fuel choices and patterns of cooking fuel use in urban Indian households. The choices considered are for three main cooking fuels: firewood, kerosene and LPG (liquid petroleum gas). The models, estimated using a large microeconomic dataset, show a reasonably good performance in the prediction of households ’ primary and secondary fuel choices. This suggests that ordered models can be used to analyze multiple fuel use patterns in the Indian context. The results show that lack of sufficient income is one of the main factors that retard households from using cleaner fuels, which usually also require the purchase of relatively expensive equipments. The results also indicate that households are sensitive to LPG prices. In addition to income and price, several sociodemographic factors such as education and sex of the head of the household are also found to be important in determining household fuel choice
Energy use and energy access in relation to poverty
Full text linkThis paper looks at how access and use of energy are related to poverty. Different approaches to how energy poverty might be measured are presented. One approach involves the estimation of basic energy needs of a household based on engineering calculations and certain normative assumptions. The second looks at poverty in relation to access to different energy sources. An alternative approach is then provided that combines the elements of access and consumption of energy in order to examine how these relate to the well being of households. Examining well being in terms of both these dimensions – access to clean and efficient energy sources; and sufficiency in terms of the quantity of energy consumed, could be an important complementary measure of poverty. The consumption dimension includes non-commercial consumption and thus includes self-produced and bartered products. The access dimension can serve as an indicator of the extent of market integration, or more specifically, as an indicator of the opportunity to join the modern market economy.
Elasticities of Electricity Demand in Urban Indian Households
Full text linkEnergy demand, and in particular electricity demand in India has been growing at a very rapid rate over the last decade. Given, current trends in population growth, industrialisation, urbanisation, modernisation and income growth, electricity consumption is expected to increase substantially in the coming decades as well. Tariff reforms could play a potentially important role as a demand side management tool in India. However, the effects of any price revisions on consumption will depend on the price elasticity of demand for electricity. In the past, electricity demand studies for India published in international journals have been based on aggregate macro data at the country or sub-national/ state level. In this paper, price and income elasticities of electricity demand in the residential sector of all urban areas of India are estimated for the first time using disaggregate level survey data for over thirty thousand households. Three electricity demand functions have been estimated using monthly data for the following seasons: winter, monsoon and summer. The results show electricity demand is income and price inelastic in all three seasons, and that household, demographic and geographical variables are important in determining electricity demand, something that is not possible to determine using aggregate macro models alone.Residential electricity demand, price elasticity, income elasticity
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