Study of consumer's willingness to use solar water heaters in DSM program

Sakri, Sangamesh G.; Jayaramaiah, G.V.

doi:10.1109/peoco.2013.6564596

Cited by 1 publication

(2 citation statements)

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“…A study conducted in Karnataka, India, concluded that the 6-10% property tax rebate for SWH users was high. This tax decreased the willingness to accept the system, and should be reduced [52]. This study was the only negative vote in the governmental support subcategory; therefore, it must be seen whether it was in fact high or limited to that specific country and individuals' perception.…”

Section: Significance Of Economic Predictorsmentioning

confidence: 76%

“…Generally, when knowledge of a decision was evaluated, it became clear that by decreasing an individual's awareness, the importance of their perception and insight increases. Perceived attitude towards government policies and incentives was the most common factor among all categories and was surveyed in 32% of studies [47][48][49][50][51][52]. As a whole, governmental policies and peoples' attitudes towards these supports were the most public predictors in both categories.…”

Section: Economic Predictorsmentioning

confidence: 98%

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Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision

et al. 2021

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The successful deployment of the solar water heater (SWH) in the residential sector relies on the household’s bounded rational decision-makers to accept this system. The decision is shaped by a wide spectrum of predictors that form heterogeneous behaviour. Over the past years, research has employed a wide range of these predictors to understand their role in the decision and predict the behaviour and diffusion rate of SWHs. This review primarily identifies economic and technical predictors of 100 quantitative and qualitative studies on the residential SWH adoption decision. For the identified predictors, their characteristics and popularity are explored in a structured and coherent framework. The review further investigates the correlation between the identified predictors and the adoption decision from 97 of the 100 initially reviewed studies. The outcome of the research revealed 123 (56 economic and 67 technical) predictors that were classified into seven categories. ‘Financial incentives’ and ‘perceived attitude towards government policies’ are among the most popular economic predictors, whereas ‘house type’ and ‘knowledge of SWH’ were the most frequent technical factors in the research. Analysing the correlation between 99 predictors and the decision also unfolded that certain attitudinal attributes have a stronger influence on the residential SWH take-up than some common factors (e.g., electricity cost, technical variables).

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Section: Significance Of Economic Predictorsmentioning

confidence: 76%