The household energy transition in India and China

Pachauri, Shonali; Jiang, Leiwen

doi:10.1016/j.enpol.2008.06.016

Cited by 464 publications

(206 citation statements)

References 18 publications

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“…0.07%-0.12% and the impact of urbanization on energy intensity varies across regions. In a comparative framework, Pachauri and Jiang [40] observed that rural households consume more energy due to the heavy dependence on inefficient energy fuels and these energy fuels represent 85% of rural energy demand in China and India. In the same way, O'Neill et al [41] applied iPETS (integrated-Population-Economy-TechnologyScience) model to evaluate the effect of urbanization on energy use in India and China.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

Shahbaz

Loganathan

Sbia³

et al. 2015

Renewable and Sustainable Energy Reviews

143

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This paper investigates the impact of urbanization on energy consumption by applying the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) in case of Malaysia. The study covers the time period of 1970Q1-2011Q4. The unit root test and the ARDL bounds testing approach have been applied to examine integrating properties and long run relationship in the presence of structural breaks. Our results validated the existence of cointegration and exposed that urbanization is a major contributor in energy consumption. Affluence raises energy demand. Capital stock boosts energy consumption. Trade openness leads affluence and hence increases energy consumption. The causality analysis finds that urbanization Granger causes energy consumption. The feedback effect is found between energy consumption and affluence and, energy consumption and capital. The bidirectional causality exists between trade openness and energy consumption.

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Section: Literature Reviewmentioning

confidence: 99%

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

Shahbaz

Loganathan

Sbia³

et al. 2015

Renewable and Sustainable Energy Reviews

143

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“…Compared with traditional fuels, modern energy sources are cleaner, more convenient, and provide greater efficiency for cooking, lighting, and heating (IEA 2007;Nordhaus 1996;Pachauri and Jiang 2008). In contrast, traditional and transitional fuels have been shown to generate high levels of intra-house pollution, with negative effects on health, especially for women and children.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…Several empirical studies of varying size and representativeness have examined fuel switching at the household level, mainly using data sets from developing countries (Davis 1998;Hanna and Oliva 2015;Heltberg 2004;Hiemstra-van der Horst and Hovorka 2008;Hosier and Dowd 1987;Masera, Saatkamp, and Kammen 2000;Pachauri and Jiang 2008;Sathaye and Tyler 1991). These studies have made clear the importance of access to modern fuels and household income in determining take-up and increased use of modern fuels.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Composition and Sensitivity of Residential Energy Consumption

Jiménez¹,

Yépez-García²

2016

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in IDB-WP-690Copyright © Inter-American Development Bank. This work is licensed under a Creative Commons IGO 3.0 AttributionNonCommercial-NoDerivatives (CC-IGO BY-NC-ND 3.0 IGO) license (http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ legalcode) and may be reproduced with attribution to the IDB and for any non-commercial purpose, as provided below. No derivative work is allowed.Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license.Following a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license. AbstractUnderstanding how energy use evolves at different stages of development is essential for reliable prospective analysis and planning. With that aim in mind, this paper examines the composition of residential energy consumption and its sensitivity to income changes, distinguishing fuel types and accounting for complete heterogeneity of the income coefficient. The focus on domestic energy use allows for the examination of fuel transition under the conceptual framework of the energy ladder and energy portfolio hypotheses, showing the increasing need for modern fuels in the household sector. The results indicate a nonlinear relationship between income and domestic energy consumption that can be attributed to two factors. First, along the income distribution, consumption of modern fuels increases, replacing traditional and transitional fuels until modern fuels drive all of the growth in domestic energy demand. Second, at th...

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“…While the stark reality is that developing countries are urbanizing faster than ever (Cohen, 2006;Montgomery, 2008), the literature on urban electrification problems in India and elsewhere is limited in scope. To the extent that urban electricity is considered at all, most studies (Barnes, Krutilla, and Hyde, 2005;Farsi, Filippini, and Pachauri, 2007;Pachauri and Jiang, 2008;DeFries and Pandey, 2010;Cheng and Urpelainen, 2014) do not distinguish clearly between slums and planned areas. One of our contributions is to make a clear distinction between these two areas, highlighting considerable variation between these two types of urban settlements and calling into question some previous findings concerning the high quality of electricity supply in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Quantifying slum electrification in India and explaining local variation

Aklin

Bayer

Harish

et al. 2015

Energy

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Unreliable electricity supply is a major obstacle to economic development in countries such as India. While electricity problems in the rural areas are widely recognized, scholars have yet to analyze the situation in urban slums. Drawing on 2004-2005 survey data from the India Human Development Survey, we document the electricity situation in slums. We find that while households located in slums are less likely to have access to the electricity grid than other urban households, the situation is significantly better than in rural areas. Based on simulations, we find that a median household in a slum has 70% chance of having electricity. This number decreases to 50% for a household in a rural area and increases to 80% for households in urban areas. As to daily hours of electricity available for connected households, urban slums also fall between other urban and rural areas. Finally, we show that these conditions vary considerably by state. Slums located in states with low corruption and leftist governments have better electricity access on average than those in states suffering from corruption or that are ruled by rightist parties.

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The household energy transition in India and China

Cited by 464 publications

References 18 publications

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia

Composition and Sensitivity of Residential Energy Consumption

Quantifying slum electrification in India and explaining local variation

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