Economic and demographic determinants of household energy use in Turkey

Metin-Özcan, Kıvılcım; Gulay, Emrah; Üçdoğruk, Şenay

doi:10.1016/j.enpol.2013.05.046

Cited by 125 publications

(54 citation statements)

References 15 publications

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“…A number of studies find that lower incomes are associated with oil and solid fuels, which are more emissions intensive (Fu et al, 2014;Laureti and Secondi, 2012;Özcan et al, 2013) though there are many other studies that find only a minor income effect or none (e.g. Braun, 2010;Lillemo et al, 2013;Couture et al, 2012).…”

Section: Related Literaturementioning

confidence: 99%

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Exploring the spatial and temporal determinants of gas central heating adoption

McCoy

Curtis

2018

Resource and Energy Economics

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a b s t r a c tIn order to better understand the potential for both policy and technological improvements to aid carbon abatement, long-term historical information on the time-path of transition from more traditional to cleaner fuels is useful. This is a relatively understudied element of the fuel switching literature in both developed and emerging economies. This research adds to this literature by examining the adoption time-path of network gas as a heating fuel. We merge a unique dataset on gas network roll-out over time, with other geo-coded data and employ an instrumental variables technique in order to simultaneously model supply and demand. Results indicate a non-linear relationship between the proportion of households using gas as their primary means of central heating and the length of time the network has been in place in each area. Proximity to the gas network, peat bogs, and areas which have banned the consumption of bituminous coal also affect gas connections. Variations in socioeconomic and dwelling characteristics at area level can also help explain connections to the gas network. A better understanding of this variation is crucial in designing targeted policies and can aid network expansion decisions.

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Section: Related Literaturementioning

confidence: 99%

“…Numerous papers examining determinants of household fuel choice do not include fuel prices as explanatory variables, though that may reflect difficulty of acquiring such information for cross-sectional datasets (e.g. Fu et al, 2014;Michelsen and Madlener, 2012;Özcan et al, 2013;Laureti and Secondi, 2012).…”

Section: Related Literaturementioning

confidence: 99%

Exploring the spatial and temporal determinants of gas central heating adoption

McCoy

Curtis

2018

Resource and Energy Economics

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“…In addition to economic factors, their study delineated several socio-demographic variables that played a key role in a household's fuel choice. Dwelling characteristics have also been identified as a factor which defines a household's energy necessities [31,32]. They have been often used as proxies for wealth.…”

Section: Introductionmentioning

confidence: 99%

Modeling Fuel Choice among Households in Northern Cameroon

Nlom

Karimov

2015

Sustainability

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Abstract:The present study aims to explore economic and socio-demographic factors that influence a household's probability to switch from firewood to cleaner fuels (kerosene and LPG) in northern Cameroon. The paper employs an ordered probit model to construct cooking patterns and fuel choices. Three main cooking sources are considered: firewood, kerosene, and liquefied petroleum gas. Utilized data are derived from a national survey conducted in 2004 by the Cameroonian National Institute of Statistics. The study analyzes the data related to the Sudano-Sahelian agro-ecological zone, which is one of the most affected by land degradation and decertification. While results indicate that there is a potential for a transition from traditional to cleaner fuels in the studied region, this transition is still in its earlier stage. The research demonstrates that firewood and kerosene prices, age of household heads, educational level of household heads and willingness to have a gas cylinder, as well as type of dwelling have a statistically significant impact on fuel-switching decisions.

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“…whether a respondent lives in shared accommodation), employment status, number of household electrical appliances owned, and whether a household operates a home-based business, are included. These variables have been found to have significant effects on household energy consumption (Ironmonger, Aitken, and Erbas, 1995;Narasimha Rao and Reddy, 2007;Özcan, Gülay, and Üçdoǧruk, 2013), and are therefore expected to influence households' ownership and usage of a backup generator, and their disposal decisions. A priori, income is expected to be positively related to generator ownership and use intensity, but negatively related to generator disposal decisions.…”

Section: Selection Of Variablesmentioning

confidence: 99%

Get rid of it: To what extent might improved reliability reduce self-generation in Nigeria?

Oseni

2016

Energy Policy

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Despite the global concerns surrounding the threats of climate change to both human health and sustainable environments, gasoline-or diesel-powered generators with non-negligible emissions have become a popular choice among Nigerian households due to the poor publicly provided electricity. This study examines the extent to which an improvement in publicly supplied electricity may reduce backup generation and, by implication, reduce emissions from Nigerian homes. The results from a random-effects probit analysis reveal that, although improved electricity service quality would significantly reduce self-generation, self-generation would continue in the country, especially among rich and educated households. The study concludes by highlighting the policy implications of the findings.

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Economic and demographic determinants of household energy use in Turkey

Cited by 125 publications

References 15 publications

Exploring the spatial and temporal determinants of gas central heating adoption

Exploring the spatial and temporal determinants of gas central heating adoption

Modeling Fuel Choice among Households in Northern Cameroon

Get rid of it: To what extent might improved reliability reduce self-generation in Nigeria?

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