Prediction of photovoltaic and solar water heater diffusion and evaluation of promotion policies on the basis of consumers’ choices
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DOI: 10.1016/j.apenergy.2012.06.037
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Citations
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Cited by:
- Xintao Li & Xue’er Xu & Diyi Liu & Mengqiao Han & Siqi Li, 2022. "Consumers’ Willingness to Pay for the Solar Photovoltaic System in the Post-Subsidy Era: A Comparative Analysis under an Urban-Rural Divide," Energies, MDPI, vol. 15(23), pages 1-22, November.
- Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
- Shahriyar Nasirov & Paula Gonzalez & Jose Opazo & Carlos Silva, 2023. "Development of Rooftop Solar under Netbilling in Chile: Analysis of Main Barriers from Project Developers’ Perspectives," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
- Jinah Yang & Daiki Min & Jeenyoung Kim, 2020. "The Use of Big Data and Its Effects in a Diffusion Forecasting Model for Korean Reverse Mortgage Subscribers," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
- Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
- Higgins, Andrew & McNamara, Cheryl & Foliente, Greg, 2014. "Modelling future uptake of solar photo-voltaics and water heaters under different government incentives," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 142-155.
- Jeong, Gicheol, 2013. "Assessment of government support for the household adoption of micro-generation systems in Korea," Energy Policy, Elsevier, vol. 62(C), pages 573-581.
- Sara Ghaboulian Zare & Reza Hafezi & Mohammad Alipour & Reza Parsaei Tabar & Rodney A. Stewart, 2021. "Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision," Energies, MDPI, vol. 14(20), pages 1-26, October.
- Selvakkumaran, Sujeetha & Ahlgren, Erik O., 2019. "Determining the factors of household energy transitions: A multi-domain study," Technology in Society, Elsevier, vol. 57(C), pages 54-75.
- Qingbin Wang & Laurel Valchuis & Ethan Thompson & David Conner & Robert Parsons, 2019. "Consumer Support and Willingness to Pay for Electricity from Solar, Wind, and Cow Manure in the United States: Evidence from a Survey in Vermont," Energies, MDPI, vol. 12(23), pages 1-13, November.
- Baur, Lucia & Uriona M., Mauricio, 2018. "Diffusion of photovoltaic technology in Germany: A sustainable success or an illusion driven by guaranteed feed-in tariffs?," Energy, Elsevier, vol. 150(C), pages 289-298.
- Chayjan, Melika Rezaei & Dehghanian, Farzad & Kakhki, Mohammad Daneshvar, 2024. "Modeling residential photovoltaic adoption: A system dynamics approach for solar energy expansion," Energy Policy, Elsevier, vol. 189(C).
- de la Hoz, Jordi & Martín, Helena & Miret, Jaume & Castilla, Miguel & Guzman, Ramon, 2016. "Evaluating the 2014 retroactive regulatory framework applied to the grid connected PV systems in Spain," Applied Energy, Elsevier, vol. 170(C), pages 329-344.
- Kaur, S. & Pollitt, M. G., 2024.
"Farmers preferences for incentives on solar pumps: Evidence from a choice experiment in Punjab,"
Cambridge Working Papers in Economics
2435, Faculty of Economics, University of Cambridge.
- Sukhgeet Kaur & Michael G. Pollitt, 2024. "Farmers' preferences for incentives on solar pumps: evidence from a choice experiment in Punjab," Working Papers EPRG2408, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- repec:grz:wpsses:2016-02 is not listed on IDEAS
- Anita M. Bunea & Pietro Manfredi & Pompeo Della Posta & Mariangela Guidolin, 2019. "What do adoption patterns of solar panels observed so far tell about governments' incentive? insight from diffusion models," Papers 1909.10017, arXiv.org.
- Anita M. Bunea & Mariangela Guidolin & Piero Manfredi & Pompeo Della Posta, 2022. "Diffusion of Solar PV Energy in the UK: A Comparison of Sectoral Patterns," Forecasting, MDPI, vol. 4(2), pages 1-21, April.
- Alipour, M. & Salim, H. & Stewart, Rodney A. & Sahin, Oz, 2020. "Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
- Hoz, Jordi de la & Martín, Helena & Montalà, Montserrat & Matas, José & Guzman, Ramon, 2018. "Assessing the 2014 retroactive regulatory framework applied to the concentrating solar power systems in Spain," Applied Energy, Elsevier, vol. 212(C), pages 1377-1399.
- Bunea, Anita M. & Della Posta, Pompeo & Guidolin, Mariangela & Manfredi, Piero, 2020. "What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
- Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
- Felipe Moraes do Nascimento & Julio Cezar Mairesse Siluk & Fernando de Souza Savian & Taís Bisognin Garlet & José Renes Pinheiro & Carlos Ramos, 2020. "Factors for Measuring Photovoltaic Adoption from the Perspective of Operators," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
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- Sanders, Kelly T. & Webber, Michael E., 2015. "Evaluating the energy and CO2 emissions impacts of shifts in residential water heating in the United States," Energy, Elsevier, vol. 81(C), pages 317-327.
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Keywords
Residential sector; Photovoltaic; Solar water heater; Bass diffusion model; Consumers’ preference; Choice experiment;All these keywords.
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