Factors influencing household access to electricity in India

Kemmler, Andreas

doi:10.1016/s0973-0826(08)60405-6

Cited by 80 publications

(29 citation statements)

References 11 publications

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“…To compare with the piecewise linear model, the linear and squared double-logarithmic forms that previous studies have commonly used are also estimated respectively, as presented below. All variables in Models (2) and (3) have the same interpretation as those in Model (1).…”

Section: Comparisons and Discussionmentioning

confidence: 99%

“…Regardless of whether they are fossil fuels-based or renewable, most energies will finally convert into electricity. Therefore, electricity has become the preferred and dominant form of energy used in households in developed and fast developing countries, satisfying a varied range of needs from necessities to recreational and luxury consumption [1,2]. Therefore, the residential electricity consumption level and its proportion to total energy consumption are important benchmarks for measuring the extent of living modernization.…”

Section: Introductionmentioning

confidence: 99%

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The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data

et al. 2016

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There are many uncertainties and risks in residential electricity consumption associated with economic development. Knowledge of the relationship between residential electricity consumption and its key determinant-income-is important to the sustainable development of the electric power industry. Using panel data from 30 provinces for the 1995-2012 period, this study investigates how residential electricity consumption changes as incomes increase in China. Previous studies typically used linear or quadratic double-logarithmic models imposing ex ante restrictions on the indistinct relationship between residential electricity consumption and income. Contrary to those models, we employed a reduced piecewise linear model that is self-adaptive and highly flexible and circumvents the problem of "prior restrictions". Robust tests of different segment specifications and regression methods are performed to ensure the validity of the research. The results provide strong evidence that the income elasticity was approximately one, and it remained stable throughout the estimation period. The income threshold at which residential electricity consumption automatically remains stable or slows has not been reached. To ensure the sustainable development of the electric power industry, introducing higher energy efficiency standards for electrical appliances and improving income levels are vital. Government should also emphasize electricity conservation in the industrial sector rather than in residential sector.

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Section: Comparisons and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data

et al. 2016

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show abstract

“…This is not always the case and in practice, connection costs can limit a household's ability to access electricity (Lee et al, 2014;Bhattacharyya, 2006). Therefore, the design of electricity interventions must minimize barriers to connection and consider the factors influencing household connection decisions (Kemmler, 2007). Incorporating connection fees into the price per unit may allow more households to benefit from electricity.…”

Section: Discussion Conclusion and Policy Implicationsmentioning

confidence: 99%

Using contingent behavior analysis to measure benefits from rural electrification in developing countries: an example from Rwanda

et al. 2015

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“…Various studies have attempted to measure the social and economic determinants of electricity use for rural populations. Kemmler (2007), used a binary choice model consistent with a discrete choice network to analyze the determinants that make a household whether to use electricity or not. Wei et Al., applied the fractional logit regression approach because of the lack of information on energy prices faced by households and that de data was taken for one month.…”

Section: A Household Model For Marginal Electricity Consumptionmentioning

confidence: 99%

The Determinants of Household Electricity Demand in Marginal Ecuador: A Case Study at Monte Sinai

Hidalgo-Crespo¹,

Coello²,

González³

2018

Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Innovation in Educat

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Electricity demand has grown in almost 75% in the last ten years, and with the addition of 900 thousand new families from rural and marginal areas to the electricity grid, total electricity demand may increase significantly. The understanding of the specific energy consumption patterns of these sectors could explain the influence on the electricity demand and lead the regional government policy to promote their formal electricity access. However, micro level analysis may show different correlations among determinants than those usually reported in previous macro models. The data was taken from a convenience sample of 190 socioeconomic surveys at Monte Sinai in order to obtain a system of electricity demand equations and elasticity using Tobit regression model

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Factors influencing household access to electricity in India

Cited by 80 publications

References 11 publications

The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data

The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data

Using contingent behavior analysis to measure benefits from rural electrification in developing countries: an example from Rwanda

The Determinants of Household Electricity Demand in Marginal Ecuador: A Case Study at Monte Sinai

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