Evaluation of the impact of access to electricity: A comparative analysis of South Africa, China, India and Brazil

Pereira, Márcio Giannini; Sena, José Antonio; Freitas, Marcos Aurélio Vasconcelos de; Silva, Neilton Fidélis da

doi:10.1016/j.rser.2010.11.005

Cited by 79 publications

(38 citation statements)

References 8 publications

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“…Similarly, Wiebe and Lutz [62] do not find a statistically significant learning-by-searching rate in their analysis of global price developments of PV modules between 1992 and 2012. 1 The geographical domains of the dependent and the independent variables differ in this experience curve. The region named first refers to the independent variable, while the country named after the slash refers to the geographical domain of the dependent variable; 2 Numbers refer to the adjusted R 2 .…”

Section: Research Development and Demonstration (Rdandd)-induced Learningmentioning

confidence: 99%

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A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

Samadi

2016

Energies

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This article reviews the literature on the past cost dynamics of various renewable, fossil fuel and nuclear electricity generation technologies. It identifies 10 different factors which have played key roles in influencing past cost developments according to the literature. These 10 factors are: deployment-induced learning, research, development and demonstration (RD&D)-induced learning, knowledge spillovers from other technologies, upsizing, economies of manufacturing scale, economies of project scale, changes in material and labour costs, changes in fuel costs, regulatory changes, and limits to the availability of suitable sites. The article summarises the relevant literature findings for each of these 10 factors and provides an overview indicating which factors have impacted on which generation technologies. The article also discusses the insights gained from the review for a better understanding of possible future cost developments of electricity generation technologies. Finally, future research needs, which may support a better understanding of past and future cost developments, are identified.

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Section: Research Development and Demonstration (Rdandd)-induced Learningmentioning

confidence: 99%

“…Access to electricity is widely regarded as a prerequisite for an appropriate standard of living and social integration [1], yet in 2012 more than one billion people still lacked this access [2]. At the same time, electrical appliances continue to grow in importance in the daily lives of billions of people.…”

Section: Introductionmentioning

confidence: 99%

A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

Samadi

2016

Energies

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“…Access to electricity is widely regarded as a prerequisite for an appropriate standard of living and social integration [1], yet in 2014 almost 1.2 billion people still lacked this access [2]. At the same time, electrical appliances continue to grow in importance in the daily lives of billions of people.…”

Section: Introductionmentioning

confidence: 99%

The Social Costs of Electricity Generation—Categorising Different Types of Costs and Evaluating Their Respective Relevance

Samadi

2017

Energies

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Various electricity generation technologies using different primary energy sources are available. Many published studies compare the costs of these technologies. However, most of those studies only consider plant-level costs and do not fully take into account additional costs that societies may face in using these technologies. This article reviews the literature on the costs of electricity generation technologies, aiming to determine which types of costs are relevant from a societal point of view when comparing generation technologies. The paper categorises the relevant types of costs, differentiating between plant-level, system and external costs as the main categories. It discusses the relevance of each type of cost for each generation technology. The findings suggest that several low-carbon electricity generation technologies exhibit lower social costs per kWh than the currently dominant technologies using fossil fuels. More generally, the findings emphasise the importance of taking not only plant-level costs, but also system and external costs, into account when comparing electricity generation technologies from a societal point of view. The article intends to inform both policymakers and energy system modellers, the latter who may strive to include all relevant types of costs in their models.

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“…From 1990 to 2002, over 900 million rural residents had benefitted from these initiatives, and the country had achieved an electricity access rate of as high as 98% in 2002 [49,50]. In 1996, the Chinese government launched the Brightness Program and Developing Rural Power through Wind to improve the living conditions of populations in remote areas by providing electricity from decentralized sources [51]. In fact, the institutional management of rural electricity was operated by a multi-level administrative system until the late 1990s.…”

Section: Energy Substitution Effectmentioning

confidence: 99%

Driving Forces of CO2 Emissions in Emerging Countries: LMDI Decomposition Analysis on China and India’s Residential Sector

et al. 2015

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Abstract:The main objective of this paper is to identify and analyze the key drivers behind changes of CO 2 emissions in the residential sectors of the emerging economies, China and India. For the analysis, we investigate to what extent changes in residential emissions are due to changes in energy emissions coefficients, energy consumption structure, energy intensity, household income, and population size. We decompose the changes in residential CO 2 emissions in China and India into these five contributing factors from 1990 to 2011 by applying the Logarithmic Mean Divisia Index (LMDI) method. Our results show that the increase in per capita income level was the biggest contributor to the increase of residential CO 2 emissions, while the energy intensity effect had the largest effect on CO 2 emissions reduction in residential sectors in both countries. This implies that investments for energy savings, technological improvements, and energy efficiency policies were effective in mitigating CO 2 emissions. Our results also depict that the change in CO 2 emission coefficients for fuels which include both direct and indirect emission coefficients slowed down the increase of residential emissions. Finally, our results demonstrate that changes in the population and energy consumption structure drove the increase in CO 2 emissions.

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Evaluation of the impact of access to electricity: A comparative analysis of South Africa, China, India and Brazil

Cited by 79 publications

References 8 publications

A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

A Review of Factors Influencing the Cost Development of Electricity Generation Technologies

The Social Costs of Electricity Generation—Categorising Different Types of Costs and Evaluating Their Respective Relevance

Driving Forces of CO2 Emissions in Emerging Countries: LMDI Decomposition Analysis on China and India’s Residential Sector

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