Exploring domestic energy-saving: The role of environmental concern and background variables

Urban, Ján; Ščasný, Milan

doi:10.1016/j.enpol.2012.04.018

Cited by 135 publications

(74 citation statements)

References 49 publications

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“…In related literature concerning the installation of energy efficiency retrofits, Urban and Scasny (2012) report that householders more concerned about the environment are more likely to reduce their demand and retrofit their homes, which is positively influenced by age.…”

Section: Explanatory Variables Among the Factors Affecting Pv Installmentioning

confidence: 98%

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

2015

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Photovoltaic (PV) panels offer significant potential for contributing to the UK's energy policy goals relating to decarbonisation of the energy system, security of supply and affordability. The substantive drop in the cost of panels since 2007, coupled with the introduction of the Feed-in Tariff (FiT) Scheme in 2010, has resulted in a rapid increase in installation of PV panels in the UK, from 26.5MWp in 2009 to over 5GW by the end of 2014. Yet there has been no comprehensive analysis of the determinants of PV deployment in the UK. This paper addresses this gap by employing spatial econometrics methods to a recently available data set at a fine geographical detail. Following a traditional regression analysis, a general to specific approach has been adopted where spatial variations in the relationships have been examined utilizing the spatial Durbin model using the cross-sectional data relating to the UK NUTS level 3 data. Empirical results indicate that demand for electricity, population density, pollution levels, education level of households and housing types are among the factors that affect PV uptake in a region. Moreover Lagrange Multiplier test results indicate that the spatial Durbin model may be properly applied to describe the PV uptake relationship in the UK as there are significant regional spillover effects.

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Section: Explanatory Variables Among the Factors Affecting Pv Installmentioning

confidence: 98%

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

2015

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“…Organ et al (2013) present a motivation model for EERs in owner-occupied housing; Charlier and Risch (2012) consider a variety of household investment decisions. Other top rated papers, that focus on behaviour, analyse the influence of future energy price expectations and the role of environmental concern [79][80][81]. None of the identified papers provides a model of the process of EER decision making of homeowners.…”

Section: Environmental Public Policy Measuresmentioning

confidence: 99%

Modelling decisions on energy-efficient renovations: A review

Friege

Chappin

2014

Renewable and Sustainable Energy Reviews

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“…Misalnya, untuk menyatakan seseorang peduli terlebih dahulu harus diketahui objek pedulinya terhadap apa, korban bencana, kerusakan lingkungan, atau objek lainnya. Beberapa ahli lain juga menyatakan bahwa kepedulian merupakan fungsi dari sikap (misal, Dunlap, Van Liere, Mertig, & Jones, 2000;Dunlap, 2008;Karpiak & Baril 2008;Urban & Scasny, 2012 Penulisan aitem. Aitem ditulis berdasarkan indikator yang telah ditentukan.…”

Section: Konsep Kepedulianunclassified

Konstruksi Skala Kepedulian terhadap Penggunaan Energi

Kurniawan

Azwar²

2017

jip

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Abstrak. Penggunaan listrik dan bahan bakar minyak (BBM) dapat berakibat buruk bagi anggaran belanja negara dan lingkungan. Sejauh ini belum ada alat ukur untuk kepedulian terhadap penggunaan energi. Tujuan dari penelitian ini adalah untuk membuat alat ukur kepedulian individu terhadap penggunaan energi. Konsep Amburgrey (2012) digunakan untuk menjelaskan tentang peduli yaitu evaluasi seseorang terhadap permasalahan yang terjadi (perceived threat) dan keinginan seseorang untuk bertindak dalam menyelesaikan permasalahan tersebut (desired change). Sebanyak 438 orang mahasiswa menjadi responden pada penelitian ini dengan rerata umur 21 tahun. Hasil validasi isi aitem menunjukkan terdapat satu aitem dari sub skala perceived threat yang memiliki nilai Aiken (V) yang kurang dari .50, sedangkan semua aitem pada sub skala desired change memiliki nilai V besar dari .50. Hasil perhitungan daya beda aitem menunjukkan sebanyak 40% aitem dari sub skala perceived threat memiliki daya beda kurang dari .25 sedangkan sub skala desired change sebanyak 31%. Reliabilitas sub skala perceived threat adalah sebesar .76 sedangkan sub skala desired change sebesar .78. Skala kepedulian terhadap penggunaan energi memiliki struktur internal yang belum memadai. Kata kunci : penggunaan energi, psikometri, perceived threat, desired changeJumlah penduduk Indonesia terus mengalami peningkatan dari tahun ke tahun. Data Badan Pengembangan Statistik (2013) menunjukkan bahwa peningkatan tersebut mencapai angka dua juta per tahun. Pertumbuhan jumlah penduduk tersebut tentu akan diikuti oleh peningkatan kebutuhan yang harus mereka penuhi, mulai dari kebutuhan makanan, tempat tinggal, kesehatan dan sebagainya (Osumanu, 2007). Salah satu kebutuhan penting lainnya adalah kebutuhan akan energi, yang berfungsi untuk mempermudah kegiatan mereka sehari-hari.

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Exploring domestic energy-saving: The role of environmental concern and background variables

Cited by 135 publications

References 49 publications

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

Modelling decisions on energy-efficient renovations: A review

Konstruksi Skala Kepedulian terhadap Penggunaan Energi

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