Energy access: Revelations from energy consumption patterns in rural India

Srivastava, Leena; Goswami, Anandajit; Diljun, Gaurang Meher; Chaudhury, Saswata

doi:10.1016/j.enpol.2012.03.030

Cited by 42 publications

(22 citation statements)

References 10 publications

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“…There is a strong positive correlation between per capita energy consumption and income [22,27]. However, other studies have also found that the household energy consumption structure of households with different income levels varies a lot [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Rural household energy consumption behavior with neural network approach: A case study

Sheng¹,

Xie²,

Ampofo³

et al. 2018

IJHT

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Rural household energy consumption is an important component of national energy consumption and plays a vital role in rural economic and ecological environment development. In this paper, the energy consumption of 1126 households in four typical agricultural provinces was investigated. In addition, multilayer perceptron neural network is adopted to conduct variables selection. Moreover, Logit, Tobit and multiple regression models are used to reveal the impact of different factors on rural resident choice and quantity behavior. The results show that family size, market distance, education level, farmland area and occupation affect farmers' energy choices and quantity consumption behavior to varying degrees. The differences of energy availability and convenience caused by the difference of geographical features are important factors that affect the energy consumption behavior of farmers. Income level is a key determinant of transition of energy consumption behavior, which however is not sensitive to coal. We hold the opinion that the key to improve rural energy structure in China is to boost the income level of rural residents. Meanwhile, rural energy consumption should be included in the national energy strategy framework. The government should increase the investment on the research and implementation of the renewable energy and use economic measures such as taxes and subsidies to reduce initial installed costs and operating costs so as to speed up the of upgrading rural energy consumption structure.

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Section: Literature Reviewmentioning

confidence: 99%

Rural household energy consumption behavior with neural network approach: A case study

Sheng¹,

Xie²,

Ampofo³

et al. 2018

IJHT

View full text Add to dashboard Cite

show abstract

“…Managing reactive power support service in competitive electricity market environment has become an important constituent of ancillary services. Srivastava et al (2012) have factorized the environmental and social pillars of sustainable development when defining access to modern energy forms which significantly inform the level of effort involved in meeting the goal of energy access to all. Sahney (2008) has applied the quality function deployment technique to identify performance indicators critical to the success of online retailing.…”

Section: Literature Reviewmentioning

confidence: 99%

A customer oriented systematic framework to extract business strategy in Indian electricity services

Satapathy

Mishra²

2013

J Ind Eng Int

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Competition in the electric service industry is highlighting the importance of a number of issues affecting the nature and quality of customer service. The quality of service(s) provided to electricity customers may be enhanced by competition, if doing so offers service suppliers a competitive advantage. On the other hand, service quality offered to some consumers could decline if utilities focus their attention on those customers most likely to exercise choice, while reducing effort and investment to serve customers less likely to choose alternatives. Service quality is defined as the way in which the utility interacts with and responds to the needs of its customers. To achieve maximum consumer satisfaction in electricity service, This paper has designed a framework by QFD by measuring service quality of electricity utility sector in ANN and also find interrelationship between these design requirements by ISM.

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“…There are many studies related to rural energy consumption, including energy consumption structure, energy poverty, characteristics of energy usage, air pollution and health impacts, and construction of new energy sources, especially focusing on developing countries [17][18][19]. In China, extensive studies on rural energy consumption have been conducted in several aspects.…”

Section: Introductionmentioning

confidence: 99%

Residential Fuel Choice in Rural Areas: Field Research of Two Counties of North China

Hou

et al. 2017

Sustainability

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Solid fuels are still widely used in rural China though the living standard has improved greatly. Energy poverty is an obvious indicator of poverty, which has serious effects on economic development, environment, and health. In this paper, we conducted a detailed analysis on fuel choice and usage behavior of different end-use activities in rural residential energy consumption. Using 717 household observations from micro-survey data in two counties of Shandong and Hebei province in 2016, we find that biomass is the dominant fuel used for cooking among all energy sources despite of obvious decreasing trend in recent years, accounting for 44%. Clean energy used to cook increased markedly with a proportion of nearly 50%. Solar energy is an ordinary fuel used for water heating except for biomass. Almost 90% of households rely on coal for space heating in winter, and one-third of households have space heating for fewer than two months. Ownership of home appliances for basic needs is higher than that for hedonistic needs, and usage behaviors of some appliances are economical. Fuel accessibility of commercial energy have improved noticeably in rural areas, and the high proportion usage of biomass is affected by family income, usage habits, local resources, environmental recognition, education, and age. Since the negative effects of using solid fuels, it is urgent to cleanse biomass, develop new energy, and improve residents' cognition about the consequences of using solid fuels.

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Energy access: Revelations from energy consumption patterns in rural India

Cited by 42 publications

References 10 publications

Rural household energy consumption behavior with neural network approach: A case study

Rural household energy consumption behavior with neural network approach: A case study

A customer oriented systematic framework to extract business strategy in Indian electricity services

Residential Fuel Choice in Rural Areas: Field Research of Two Counties of North China

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