Household lifestyle, energy related practices and perceptions of energy efficiency: Evidence from Kitwe, Zambia

Makashini, Lilias; Ng'ombe, Austine; Abanda, Fonbeyin Henry; Malama, Albert; Mudenda, Priscilla

doi:10.3934/energy.2014.3.276

Cited by 2 publications

(5 citation statements)

References 6 publications

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“…As indicated earlier, one of the key aspects distinguishing this study from others such as Malama et al [23] and Makashini et al [30] is that it uses not only descriptive but also inferential statistics to determine the relationship between the energy consumption and behavioral lifestyle of households from different income categories. Descriptive statistics are distinguished from inferential statistics (or inductive statistics) in that, while the former aim to summarize a sample, the latter use the data to learn more about the population that the sample represents.…”

Section: Resultsmentioning

confidence: 99%

“…Both categories, however, reported covering pots when cooking. It has been reported elsewhere that this could be attributed to hygiene and not entirely to energy efficiency alone [30]. The general picture from the descriptive statistics is that the high-income households are more likely to use energy efficiency measures than their low-income counterparts.…”

Section: Are the Energy-saving Measures Used Related To The Level Of mentioning

confidence: 94%

“…It has to be said, though, that this paper was largely descriptive and exploratory. Other papers done recently on this subject are Makashini et al [30] and Nematchoua et al [31].…”

Section: Energy Efficiency: Information Versus Actionmentioning

confidence: 99%

“…The current paper therefore aims to build on Malama et al [23] and Makashini et al [30] by using inferential statistics to investigate the relationships between the income status of households and their behavior with regards to energy efficiency. This study is important as it provides empirical evidence that will inform policy on how households of different income categories behave in relation to energy efficiency.…”

Section: Energy Efficiency: Information Versus Actionmentioning

confidence: 99%

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A Comparative Analysis of Energy Usage and Energy Efficiency Behavior in Low- and High-Income Households: The Case of Kitwe, Zambia

et al. 2015

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Energy efficiency has been an important topic since the latter part of the last century. This is because adoption of energy efficiency measures has been acknowledged as one of the key methods of addressing the negative impact of climate change. In Zambia, however, the need to adopt energy efficiency measures has not just been driven by the imperative to mitigate the negative effects of climate change but also by a critical shortage of energy. This research looks at households' energy consumption behavior in low-and high-income areas of Kitwe. Recent studies on the relationship between household energy consumption and behavioral lifestyle have been descriptive, with limited emphasis on the relationships between various variables. In this study, descriptive and inferential statistics have been used to investigate relationships between the two income groups and various energy consumption-related variables such as knowledge about energy reduction measures,

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Section: Resultsmentioning

confidence: 99%

Section: Are the Energy-saving Measures Used Related To The Level Of mentioning

confidence: 94%

“…It has to be said, though, that this paper was largely descriptive and exploratory. Other papers done recently on this subject are Makashini et al [30] and Nematchoua et al [31].…”

Section: Energy Efficiency: Information Versus Actionmentioning

confidence: 99%

Section: Energy Efficiency: Information Versus Actionmentioning

confidence: 99%

See 2 more Smart Citations

A Comparative Analysis of Energy Usage and Energy Efficiency Behavior in Low- and High-Income Households: The Case of Kitwe, Zambia

et al. 2015

Self Cite

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“…The challenge of energy access is progressively being resolved through the entry of private businesses in sustainable energy in Africa, including vendors of portable electricity, who could also solve the challenge of unreliable supply [52]. Renewable energy is perceived as expensive in SSA [53]. Energy price modeling is a simplified way of showing the households the price calculation process, the prediction of prices, and comparative pricing with unsustainable sources of energy such as charcoal and wood.…”

Section: Lessons Learnt From the Reviewmentioning

confidence: 99%

Energy price modeling in sub-Saharan Africa: a systematic literature review

Luhangala

Ambole

Musango

et al. 2022

Environ. Res.: Infrastruct. Sustain.

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The energy market in Sub-Saharan Africa (SSA) is not meeting the demands of the region’s growing population. Energy access remains a significant challenge, with most people on the continent still reliant on biomass and other traditional forms of energy. Paradoxically, research has found that the African continent has the highest potential for renewable energy generation. For this energy to be commercialized effectively, there is a need to understand energy price modelling in the SSA context. Our initial review of Literature showed that energy price modelling has received little attention in SSA. This paper, therefore, fills this gap by using a systematic literature review to consolidate knowledge on how energy price modelling has been applied in the SSA context. The systematic literature review results reveal four commonly used models: time series, Artificial Neural Network, Hybrid Iterative Reactive Adaptive (HIRA), and Hybrid models. Across the 46 SSA countries, governments have applied these models to price electricity and petroleum at the national level. However, these models have not been applied to renewable energy markets. Neither have they been applied at the household level. In the discussion, we hypothesize that price modelling can be used at the household level to improve energy decision-making. For this to work, price modelling should be simplified, user-friendly, and accessible to households. In conclusion, we recommend that SSA governments develop a more holistic view of energy price modelling to better harness the potential of renewables. They can do this through effective stakeholder engagement that includes the needs of small businesses and households. The main lessons drawn from this review include the possibility of using energy price modelling technology as a pathway to encouraging energy transitions to renewable energy in informal settlements in Africa. Using technology to bring the price modelling closer to the people is also an important element in facilitating effective transition to renewable energy. Finally, including the members of the community in pricing through creation of awareness on the models used and popularizing technology that can help in predictive pricing will help in creating better and faster energy transitions.

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Household lifestyle, energy related practices and perceptions of energy efficiency: Evidence from Kitwe, Zambia

Cited by 2 publications

References 6 publications

A Comparative Analysis of Energy Usage and Energy Efficiency Behavior in Low- and High-Income Households: The Case of Kitwe, Zambia

A Comparative Analysis of Energy Usage and Energy Efficiency Behavior in Low- and High-Income Households: The Case of Kitwe, Zambia

Energy price modeling in sub-Saharan Africa: a systematic literature review

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