Open Access
Issue
E3S Web Conf.
Volume 111, 2019
CLIMA 2019 Congress
Article Number 03014
Number of page(s) 7
Section High Energy Performance and Sustainable Buildings
DOI https://doi.org/10.1051/e3sconf/201911103014
Published online 13 August 2019
  1. Artola, I., Rademaekers, K., Williams, R. & Yearwood, J. Boosting Building Renovation: What potential and value for Europe? (2016). doi: 10.2861/331360 [Google Scholar]
  2. Government of the Netherlands. Dutch Goals within the EU for Climate Change. Government of the Netherlands (2016). Available at: https://www.government.nl/topics/climatechange/eu-policy. (Accessed: 6th February 2018) [Google Scholar]
  3. Ministry of the Interior and Kingdom. Investing in the Dutch housing market. (2014). [Google Scholar]
  4. Government of the Netherlands. Measures to reduce greenhouse gas emissions,. (2017). Available at: https://www.government.nl/topics/climatechange/national-measures. (Accessed: 23rd October 2017) [Google Scholar]
  5. Aune, M. Energy comes home. Energy Policy 35, 5457–5465 (2007). [CrossRef] [Google Scholar]
  6. Mlecnik, E. & Straub, A. Experiences of Homeowners Regarding Nearly Zero-Energy Renovations and Consequences for Business Models. Plea 2015 Bol. Archit. (R)evolution (2015). [Google Scholar]
  7. Wilson, C., Crane, L. & Chryssochoidis, G. Why do homeowners renovate energy efficiently? Contrasting perspectives and implications for policy. Energy Res. Soc. Sci. 7, 12–22 (2015). [Google Scholar]
  8. Schilder, F., van Middelkoop, M. & van den Wijngaart, R. Energiebesparing in de woningvoorraad: financiële consequenties voor corporaties, huurders, eigenaren-bewoners en Rijksoverheid. 50 (2016). [Google Scholar]
  9. Fan, K., Qian, Q. K. & W Chan, E. H. Transaction Costs (TCs) in Building Regulations and Control for Green Buildings. 818–828 (2016). [Google Scholar]
  10. Mundaca, L., Mansoz, M., Neij, L. & Timilsina, G. Transaction costs analysis of low carbon technologies. Clim. policy 13, 1–24 (2013). [CrossRef] [Google Scholar]
  11. Wilson, C., Pettifor, H. & Chryssochoidis, G. Quantitative modelling of why and how homeowners decide to renovate energy efficiently. Appl. Energy 212, 1333–1344 (2018). [Google Scholar]
  12. Coase, R. H. The problem of social cost. J. Law Econ. 3, 351–376 (1960). [Google Scholar]
  13. Ostertag, K. Transaction costs of raising energy efficiency. Eng. Anal. Conserv. Energy 18 (1999). [Google Scholar]
  14. Fan, K., Qian, Q. & Chan, E. Transaction costs (TCs) in building regulations and control for green buildings : case study of Hong Kong. (2016). [Google Scholar]
  15. Williamson, O. E. The Economics of Organization: The Transaction Cost Approach. American Journal of Sociology 87, 548–577 (1981). [CrossRef] [Google Scholar]
  16. Williamson, O. Transaction cost economics: the governance of contractual relations. Economic Organization 101–130 (1979). doi: 10.1046/j.1365-2702.2003.00683.x [Google Scholar]
  17. Coase, R. H. The Nature of the Firm. Economica 4, 386–405 (1937). [Google Scholar]
  18. Matthews, R. C. O. The Economics of Institutions and the Sources of Growth. Econ. J. 96, 903 (1986). [CrossRef] [Google Scholar]
  19. Furubotn, E. G. & Richter, R. The New Institutional Economics of Markets: An Introduction. New Institutional Econ. Mark. 1–29 (2010). doi: 10.1007/s12273-011-0024-9 [Google Scholar]
  20. Björkqvist, O. & Wene, C. A study of transaction costs for energy investments in the residential sector. in Proceedings of the eceee 1993 Summer Study conference(The European Council for an Energy Efficient Economy Stockholm, 1993). [Google Scholar]
  21. Haurin, D. R. & Gill, H. L. The impact of transaction costs and the expected length of stay on homeownership. J. Urban Econ. 51, 563–584 (2002). [Google Scholar]
  22. Qian, Q. K., Lehmann, S., Ghani, A., Khalid B., & Chan, E. H. W. Transaction Costs (Tcs) Framework to Understand the Concerns of Building Energy Efficiency (BEE) Investment in Hong Kong. Int. J. Waste Resour. 4, 1–7 (2014). [Google Scholar]
  23. Qian, Q. K., Chan, E. H. W., Visscher, H. & Lehmann, S. Modeling the green building (GB) investment decisions of developers and endusers with transaction costs (TCs) considerations. J. Clean. Prod. 109, 315–325 (2015). [Google Scholar]
  24. Pettifor, H., Wilson, C. & Chryssochoidis, G. The appeal of the green deal: Empirical evidence for the influence of energy efficiency policy on renovating homeowners. Energy Policy 79, 161– 176 (2015). [Google Scholar]
  25. Itard, L. & Meijer, F. Towards a sustainable Northern European Figures, facts and future. (2008). [Google Scholar]
  26. Brown, M. A. Market failures and barriers as a basis for clean energy policies. Energy Policy 29, 1197–1207 (2001). [Google Scholar]
  27. Stieß, I. & Dunkelberg, E. Objectives, barriers and occasions for energy efficient refurbishment by private homeowners. in Journal of Cleaner Production 48, 250–259 (2013). [Google Scholar]
  28. Mundaca, L. Transaction costs of energy efficiency policy instruments. in (International Institute for Industrial Environmental Economics at Lund University, 2007). [Google Scholar]
  29. Baginski, J. P. & Weber, C. A Consumer Decision-Making Process? Unfolding Energy Efficiency Decisions of German Owner-Occupiers. HEMF Work. Pap. 08, (2017). [Google Scholar]
  30. Murphy, L. C. Policy Instruments to Improve Energy Performance of Existing Owner Occupied Dwellings Understanding and Insight Lorraine. (Delft University of Technology, 2016). [Google Scholar]
  31. Wilson, C. & Dowlatabadi, H. Models of Decision Making and Residential Energy Use. Annu. Rev. Environ. Resour. 32, 169–203 (2007). [Google Scholar]
  32. Midi, H., Sarkar, S. K. & Rana, S. Collinearity diagnostics of binary logistic regression model. J. Interdiscip. Math. 13, 253–267 (2010). [CrossRef] [Google Scholar]
  33. Brant, R. Assessing Proportionality in the Proportional Odds Model for Ordinal Logistic Regression. Biometrics 46, 1171 (1990). [Google Scholar]
  34. Gigerenzer, G. & Selten, R. Bounded rationality: The adaptive toolbox. (2001). [Google Scholar]

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