2016
DOI: 10.1016/j.enpol.2016.07.005
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Realizing potential savings of energy and emissions from efficient household appliances in India

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Cited by 59 publications
(33 citation statements)
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“…Similar trends are expected to occur in developing countries where this ownership rate is projected to rapidly increase and reach 70% per home by 2030 [23]. A recent study by Parikh and Parikh, 2016 [23] on energy saving potential of four major home appliances (AC, TV, Fan & Refrigerator), estimated possible savings of 52 billion Kwh to 145 billion Kwh by 2030 which accumulates to up to 27% in energy savings. Further estimates show that by using energy saving versions of these appliances, a 30% reduction in carbon emissions can be achieved by 2030 [23].…”
Section: Introductionmentioning
confidence: 59%
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“…Similar trends are expected to occur in developing countries where this ownership rate is projected to rapidly increase and reach 70% per home by 2030 [23]. A recent study by Parikh and Parikh, 2016 [23] on energy saving potential of four major home appliances (AC, TV, Fan & Refrigerator), estimated possible savings of 52 billion Kwh to 145 billion Kwh by 2030 which accumulates to up to 27% in energy savings. Further estimates show that by using energy saving versions of these appliances, a 30% reduction in carbon emissions can be achieved by 2030 [23].…”
Section: Introductionmentioning
confidence: 59%
“…The world is witnessing better living standards, improved household incomes and a rising trend of urbanization; all these factors are eventually adding billions of home appliances around the globe [7,23]. Every year, 5 million TVs and 4 million refrigerators are being replaced in China alone [24].…”
Section: Introductionmentioning
confidence: 99%
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“…Other studies that are beginning to examine the low-income housing stock are of Mexico The existing literature on residential energy consumption in India, however, focuses on technological and engineering approaches and rarely considers how households use technologies (with the exception of Jain et al 2014, Rathi andChunekar 2015, Malodia andBhatt 2019). Energy consumption is mostly predicted on the basis of expenditure, income levels and appliance stocks (Filippini and Pachauri 2004, Pachauri 2004, Rogers and Suphachasalai 2008, de la Rue du Can et al 2009, Ekholm et al 2010, van Ruijven et al 2011, O'Neill et al 2012, Bhattacharyya 2014, Chaturvedi et al 2014, Bhattacharyya 2015, Ahmad and de Oliveira 2015, Parikh and Parikh 2016, with large variations in the results (Chunekar 2019). With this backdrop, we use mixed quantitative and qualitative methods to answer two inter-related questions: how does the demand for energy services change as the ability of low-income households to consume increases; and how do energy related behaviors influence household electricity consumption?…”
Section: Introductionmentioning
confidence: 99%