On Measuring Energy Poverty in Indian Households

Pachauri, Shonali; Mueller, Angelika Johanna Marie; Kemmler, Andreas; Spreng, David

doi:10.1016/j.worlddev.2004.08.005

Cited by 315 publications

(145 citation statements)

References 21 publications

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“…Song et al (2012), Rosas-Flores and Gálvez (2010), Hussain et al (2016a, b), Rao and Reddy (2007) indicate that household energy consumption is influenced by several factors, such as income, family size, household land ownership, educational level and local availability. Pachauri et al (2004) reported that households with low incomes use more non-commercial energy than households with high income level, but this trend was not followed by current study. In current study, it may be concluded that socioeconomic condition has no or less effect on fuelwood consumption.…”

Section: Discussioncontrasting

confidence: 73%

Fuelwood consumption patterns by semi-nomadic pastoralist community and its implication on conservation of Corbett Tiger Reserve, India

Hussain

Dasgupta

Bargali³

2016

Energ. Ecol. Environ.

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The local folk of Himalaya have natural coexistence with the forests and depend on these bounty natural resources for their livelihood. The present study was carried out on semi-nomadic pastoralist for the study of forest use patterns. The main source of livelihood was found to be homogeneous (pastoralism) within each settlement. The study records 26 tree species preferred for fuelwood consumption. Overall average fuelwood consumption was 20.09 ± 0.7 kg day -1 family -1 . The average per capita fuelwood consumption was 2.77 kg day -1 . Average fuelwood consumption by very large families is significantly higher than small families. The principal component analysis explain lopping, extraction and anthropogenic activities for biomass extraction as a major factor of disturbance in forests. We also examined the present forest wood consumption rate and its implications in terms of potential deforestation and emission of greenhouse gases. The findings in the paper could form the basis for designing appropriate technologies and management policies in the region.

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Section: Discussioncontrasting

confidence: 73%

Fuelwood consumption patterns by semi-nomadic pastoralist community and its implication on conservation of Corbett Tiger Reserve, India

Hussain

Dasgupta

Bargali³

2016

Energ. Ecol. Environ.

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“…According to the International Energy Agency, in 2015, India accounted for 18% of the world's population but only 6% of its primary energy usage, which shows the energy poverty in India, as analysed in Pachauri et al (2004). However, India's energy consumption has almost doubled since 2000, contributing to 10% of the global energy demand, while the potential for further rapid growth of GDP is great (expected to be 8% in 2017 and2018, World Development Indicators).…”

Section: Datamentioning

confidence: 99%

Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis

et al. 2017

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This paper investigates the asymmetric relationship between energy consumption and economic growth by incorporating financial development, capital and labour into a production function covering the Indian economy from 1960Q 1 -2015Q 4 . The nonlinear autoregressive distributed lag bounds testing approach is applied to examine the asymmetric cointegration between the variables. An asymmetric causality test is also employed to examine the causal association between the considered variables. The results indicate cointegration between the variables in the presence of asymmetries. The asymmetric causality results show that only negative shocks in energy consumption have impacts on economic growth. In the same vein, only negative shocks in financial development have impacts on economic growth. By contrast, symmetrically, capital formation causes economic growth. Finally, over the study period, a neutral effect exists between the labour force and economic growth in India. The implications of these results for growth policies in India are also discussed.Keywords: Financial Development, Energy, Growth, India, Asymmetries JEL classification: O13 Acknowledgements: We would like to thank the editor, Professor Richard Tol (University of Sussex, Brighton, UK), as well as the three anonymous reviewers, for their valuable comments and suggestions that helped us improve our paper significantly. We also thank the participants at the 7 th International Research Meeting in Business and Management (IPAG, Nice, France, 11-12 July 2016). We are also grateful to Jawad Kazmi for his technical assistance. The authors' are responsible for any remaining errors or shortcomings. IntroductionThis study uses quarterly data to investigate the relationship between energy consumption and economic growth in India over the 1960-2015 period. Financial development (measured by domestic credit to the private sector), 1 capital formation and labour force 2 are also included in the Cobb-Douglas production function. This study's main contribution to the existing literature on the energy-growth nexus concerns its examination of the potential asymmetric relationship between the variables. Taking this asymmetry into account is important because a positive or negative variation on one variable does not have the same impact on the other variable. The existence of an asymmetric relationship between two variables can be caused by numerous factors, one of which concerns the complexity of economic systems and the mechanisms that generate the variables under study. This complexity may induce various channels through which one variable affects another. In our case, the relationship between energy consumption and economic growth has been found to be very complex because previous studies have shown four possible impact channels: the growth, conservative, feedback and neutrality hypotheses. 3 On the one hand, the relationship between energy consumption and financial development can also be very complex because numerous impact channels can exist between them...

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“…In terms of energy poverty, energy budget shares often serve as standards (see, e.g., Pachauri et al, 2004). Boardman (1991)-the de facto founder of energy poverty measurement-suggested the first quantified definition of energy poverty for the UK: households are in energy poverty when they are unable 'to have adequate energy services for 10% of income'.…”

Section: Measuring Energy Povertymentioning

confidence: 99%