Evaluating intervention options to achieve environmental benefits in the residential sector

Sustainability Science

Volumn 8, Issue 1, 2013, Pages 25-36

  Higgins, Andrew ^a   Foliente, Greg ^a  

^a CSIRO   (Australia)

Author keywords

Carbon; Diffusion model; Fiscal instruments; Housing stock; Optimisation; Policy

Indexed keywords

EID: 84871929826     PISSN: 18624065     EISSN: 18624057     Source Type: Journal    
DOI: 10.1007/s11625-012-0160-x     Document Type: Article

References (28)

1. Australian Government (2008) Carbon pollution reduction scheme: Australia's low pollution future, Department of Climate Change. http://www. climatechange. gov. au.
2. Australian Government (2010) Department of Environment, Water, Heritage and the Arts-number of solar PV systems installed by month from 2000 to 2009. http://www. environment. gov. au.
3. Bass FM (1969) A new product growth model for consumer durables. Manag Sci 15(5): 215-217.
4. Bass FM, Krishnan TV, Jain DC (1994) Why the Bass model fits without decision variables. Mark Sci 13: 203-273.
5. Bhat CR, Guo JY (2004) A mixed spatially correlated logit model: formulation and application to residential choice modeling. Transp Res Part B 38: 147-168.
6. Cochrane JL, Zeleny M (1973) Multiple criteria decision making. University of South Carolina Press, Columbia.
7. Everdigen Y, Aghina W, Fok D (2005) Forecasting cross-population innovation diffusion: a Bayesian approach. Int J Res Mark 22: 293-308.
8. Greene AL, Patterson PD, Sing M, Li J (2005) Feebates, rebates and gas-guzzler taxes: a study of incentives for increased fuel economy. Energy Policy 33: 757-775.
9. Guidolin M, Mortarino C (2010) Cross-country diffusion of photovoltaic systems: modelling choices and forecasts for national adoption patterns. Technol Forecast Soc Chang 77(2): 279-296.
10. Higgins A, Foliente G, McNamara C (2011) Modelling intervention options to reduce GHG emissions in housing stock-a diffusion approach. Technol Forecast Soc Chang 78(4): 621-634.
11. Horksy D (1990) A diffusion model for incorporating product benefits, price, income and information. Mark Sci 9(4): 342-364.
12. Horne M, Jaccard M, Tiedemann K (2005) Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions. Energy Econ 27: 59-77.
13. Jaccard M, Dennis M (2006) Estimating home energy decision parameters for a hybrid energy/economy policy model. Environ Model Assess 11: 91-100.
14. Jager J (2006) Stimulating the diffusion of photovoltaic systems: a behavioural perspective. Energy Policy 34: 1935-1943.
15. Jain DC, Rao K (1990) Effect of price on the demand for durables: modelling, estimation and findings. J Bus Econ Stat 8(2): 163-170.
16. Kemp R, Volpi M (2008) The diffusion of clean technology: a review with suggestions for future diffusion analysis. J Clean Prod 16(S1): S14-S21.
17. Koeppel S, Urge-Vorsatz D (2007) Assessment of policy instruments for reducing greenhouse gas emissions from buildings. Central European University report to the United Nations Environment Programme, Sustainable Building and Climate initiative (UNEP-SBCI), Paris.
18. Lobel R, Perakis G (2011) Consumer choice model for forecasting demand and designing incentives for solar technology. Social Science Research Network, MIT, Cambridge.
19. Mansfield E (1961) Technical change and the rate of imitation. Econometrica 29(4): 741-766.
20. Marsdon Jacob Associates (2007) The economies of rainwater tanks and alternative water supply options. A report for the Australian Conservation Foundation, Nature Conservation Council and Environment Victoria, April 2007. http://www. marsdonjacob. com. au.
21. Mills D (2010) Greenhouse gas emissions from energy use in Queensland homes, Sustainability Innovation Division, Department of Environmental and Resource Management, Queensland Government.
22. Paevere P, Higgins A (2011) Diffusion Modelling of Electric Vehicle Uptake in Australia. World Sustainable Building Conference SB11 Helsinki.
23. Palangkaraya A, Yong J, Webster W, Dawkins P (2009) The income distributive implications of recent private health insurance policy reforms in Australia. Eur J Health Econ 10: 135-148.
24. Queensland Government (2008) Household projections: Queensland Local Government Areas 2007. Department of Local Government, Planning, Sports and Recreation. http://www. lgp. qld. gov. au/pifu.
25. Rao Usha K, Kishore VVN (2010) A review of technology diffusion models with special reference to renewable energy technologies. Renew Sustain Energy Rev 14(3): 1070-1078.
26. Scarpa R, Willis K (2010) Willingness to pay for renewable energy: primary and discretionary choice of British households for micro-generation technologies. Energy Econ 32: 129-136.
27. Sener I, Pendyala R, Bhat C (2009) Accommodating spatial correlation across choice alternatives in discrete choice models: application to modelling residential location choice behaviour. Transportation Research Board Annual Meeting 2009 Paper #09-2281.
28. Soderholn P, Klassen G (2007) Wind power in Europe: a simultaneous innovation-diffusion model. Environ Resour Econ 36: 163-190.