Relative inequality in energy resource consumption: a case of Kanvashram village, Pauri Garhwal district, Uttranchall (India)

Fernandez, Eugene; Saini, R.P.; Devadas, V.

doi:10.1016/j.renene.2002.10.001

Cited by 18 publications

(7 citation statements)

References 9 publications

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“…The Gini coefficient is a common measure of income inequality (Sen, 1997), in which a coefficient of 0 represents perfect equality (everyone has the same income) and 1 represents perfect inequality. Several scholars have used the Gini coefficient to study inequalities in energy consumption (Fernandez et al , 2005; Papathanasopoulou and Jackson, 2009). Other research tools for measuring inequality, such as the Their index, can only be decomposed by grouping.…”

Section: Methods and Datamentioning

confidence: 99%

Global non-fossil fuel consumption: driving factors, disparities, and trends

Chen

et al. 2019

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Purpose Non-fossil fuels are receiving increasing attention within the context of addressing global climate challenges. Based on a review of non-fossil fuel consumption in major countries worldwide from 1985 to 2015, the purpose of this paper is to analyze trends for global non-fossil fuel consumption, share of fuel consumption and inequality. Design/methodology/approach The similarities were obtained between the logarithmic mean divisia index and the mean-rate-of-change index decomposition analysis methods, and a method was proposed for complete decomposition of the incremental Gini coefficient. Findings Empirical analysis showed that: global non-fossil fuel consumption accounts for a small share of the total energy consumption, but presents an increasing trend; the level of global non-fossil fuel consumption inequality is high but has gradually declined, which is mainly attributed to the concentration effect; inequality in global non-fossil fuel consumption is mainly due to the difference between nuclear power and hydropower consumption, but the contributions of nuclear power and hydropower to per capita non-fossil fuel consumption are declining; and population has the greatest influence on global non-fossil fuel consumption during the sampling period. Originality/value The main contribution of this study is its analysis of global non-fossil fuel consumption trends, disparities and driving factors. In addition, a general formula for complete index decomposition is proposed and the incremental Gini coefficient is wholly decomposed.

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Section: Methods and Datamentioning

confidence: 99%

Global non-fossil fuel consumption: driving factors, disparities, and trends

Chen

et al. 2019

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“…For example, Fernandez et al (2005) calculated the energy consumption inequality in India using econometric methods and showed that distributed energy in rural areas has important social significance.…”

Section: Opportunities and Challenges Of Straw As An Energy Source (1) Promoting Distributed Energy And Energy Access In Rural Areasmentioning

confidence: 99%

“…The GHG emissions reduction rate for the BNG pathway compared to those in pathway j (GRR ) is calculated using Equation (6).…”

Section: Ghg = *mentioning

confidence: 99%

Experience of producing natural gas from corn straw in China

Liu

Yuan

et al. 2018

Resources, Conservation and Recycling

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Globally, crop straw is a rich resource and further establishment of its use as an energy source is an important aspect in developing the circular economy. Projects in this vein can bring benefits such as improving energy access and living conditions as well as boosting the local economy and employment opportunities in rural communities. This paper presents a detailed case study on the production of bionatural gas (BNG) from corn straw in China, using Life Cycle Analysis (LCA) to assess energy consumption and greenhouse gas (GHG) emissions, conducting economic analysis, and analyzing operation management models. The "Nongbaomu" business model (whereby professional personnel assist farmers in the management of straw collection, bundling, storage and transportation) and the "Mutual Offsetting in Kind" business model (whereby farmers can buy a quota of the project's BNG products at a lower price in return for selling straw to the project) can ensure the acquisition of straw by the BNG project at stable prices and high quality. Because the main product (BNG) replaces refined oil products used by automobiles and the byproduct (organic fertilizer) replaces traditional fertilizer (produced using coal), the project offers the potential for significant decreases (up to 80%) in life cycle GHG emissions and fossil fuel use. Benefited from the relatively high natural gas prices in the project location and applicable government subsidies, our studied case was found to be economically viable.The findings in this study are also likely to be relevant to other countries where governments should develop industrial policies that support the development of rural distributed energy, and introduce and implement appropriate subsidies to allow BNG to compete in the traditional natural gas market.Although, enterprises are responsible for selecting an effective business models and the most appropriate technological pathway, governments should also identify the ways in which they can support businesses to make these choices.

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“…Many methods have been adopted to measure the inequality. A commonly used measure of inequality of income and PUPs is the Gini coefficient (e.g., [13,14]). A Gini coefficient of 1 represents absolute inequality, and a Gini coefficient of 0 represents perfect equity.…”

Section: Literature Reviewmentioning

confidence: 99%