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Will Mandatory Conservation Promote Energy Efficiency in the Selection of Household Appliance Stocks?

Jeffrey A. Dubin

Year: 1986
Volume: Volume 7
Number: Number 1
DOI: 10.5547/ISSN0195-6574-EJ-Vol7-No1-7
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Abstract:
This paper estimates a nested logit model for space heat and water heat choice using data from the National Interim Energy Consumption Survey (NIECS) by the Department of Energy in 1978. (See Dubin, 1983) for references to the data set and a detailed discussion of procedures used to prepare the data for economic analysis.) The use of micro-level disaggregated survey data to estimate discrete choice models of heating, ventilating, and air-conditioning (HVAC) systems has been very recent, but one can find a few related models in Dubin and McFadden (1984), Brownstone (1980), Goett (1979), Hausman (1979), and McFadden, Puig, and Kirschner (1977). One of the virtues of the structure developed here is that it has been embedded successfully in a larger micro-simulation system (the Residential End-Use Energy Policy System (REEPS)) for purposes of policy forecasting (Goett [1979]).



Willingness to Pay for Improved Quality of Electricity Supply Across Business Type and Location

Mark Morrison and Craig Nalder

Year: 2009
Volume: Volume 30
Number: Number 2
DOI: 10.5547/ISSN0195-6574-EJ-Vol30-No2-6
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Abstract:
Regulatory authorities in many countries are experimenting with mechanisms for providing electricity distributors with financial incentives to improve quality of supply. In designing these incentives it is apparent that customers preferences have rarely been obtained for consideration in the regulatory process. As a result, there is relatively limited understanding of customers willingness to pay for improved quality of electricity supply. Several studies have examined the willingness of households to pay for improved quality of electricity supply, however, few studies have examined the willingness of businesses to pay for improved quality of supply. In this study we use choice modelling with random parameters logit models to identify the willingness to pay of business for various service related attributes. Furthermore, we examine the values held by both service and manufacturing businesses, from both rural/ regional and urban areas, and observe the differences between them. We find several differences in willingness to pay across business types and locations, however overall the value estimates are relatively homogeneous.



Why Consumers Switch Energy Suppliers: The Role of Individual Attitudes

Xiaoping He and David Reiner

Year: 2017
Volume: Volume 38
Number: Number 6
DOI: https://doi.org/10.5547/01956574.38.6.hxia
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Abstract:
Since 2008, fewer customers switched suppliers in British electricity and gas markets despite the potential for financial gains, suggesting that psychological factors may affect switching behaviors. Using a unique nation-wide British survey, we explore the influence of consumers' attitudes and perceptions on switching behaviors and assess the differences in switching propensity across different groups. Support for simplifying energy tariffs, professed less difficulty in understanding energy bills, expected difficulty in changing suppliers and lack of attention to the issue of energy prices are associated with lower switching activity. At a time of high saliency, political party voting intention was strongly related to switching. Unlike the bivariate analyses conducted by the regulator and the competition authority, our multivariate analysis show few demographic factors affect the likelihood of switching except for educational attainment and tariff payment patterns. Remedies aiming to encourage switching cannot be targeted correctly unless the supporting analysis is robust to alternative model specifications.



The Role of Uncertainty in Shaping Individual Preferences for Residential Energy Renovation Decisions

Salomé Bakaloglou and Fateh Belaïd

Year: 2022
Volume: Volume 43
Number: Number 4
DOI: 10.5547/01956574.43.4.sbak
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Abstract:
This article examines a crucial question that has been raised in recent years in both policy and economic literature: the role of uncertainty as a barrier to energy retrofit decisions. We develop a discrete choice experiment to elicit preferences for energy renovation measures. This methodologically innovative experiment design includes two insurance schemes covering potential sources of uncertainty as attributes of the energy retrofit alternatives. We use a mixed logit model to investigate the nature of systematic heterogeneity in household preferences for attributes of energy retrofit solutions. The article shows that uncertainties related to future energy pricing and retrofit quality are negatively perceived during energy-renovation decision making. This impact varies according to household characteristics such as risk aversion and perceptions of the economic context. The results suggest that public policies should support and accompany the development of insurance schemes to increase energy renovation rates.





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