DEBII candidacy presentation by Ms. Valencia Lo
Digital Ecosystem and Business intelligence (DEBII)Institute
Identification of Determinant Factors and Development of a Carbon Emission Accountability Model for the Aviation Industry
Ms. Valencia Lo
Supervisor: Dr. Vidyasagar Potdar
Co-Supervisor: Dr. Chen Wu
Chair Person: Dr. Song Han
Venue and Time
Date: Friday, 14 May 2010
Time: 1:30 PM-2:30 PM (GMT+08:00) Perth.
Location: DEBII Board Room Enterprise Unit 4, De Laeter Way, Techpark
Global warming is becoming a big problem and carbon emissions from a variety of sources are the cause of it. To control emission, a number of carbon emission reduction policies and schemes such as the Kyoto Protocol & COP15 treaty have been reached and put in place. However, not all countries participate in these global carbon mitigation treaties. One of the many reasons for the absence of participation in developing countries is due to their incapable financial status. As in the case of developed countries such as the USA, it is usually due to monetary profiting before and after the participation and the ambiguous carbon emission responsibility that each country has to bear. Many accounting models have already been proposed in the current literature to solve the problem of responsibility ambiguity. However, the current accountability models are proposed for the general industries and not for the aviation industry. We feel that these models cannot be applied directly to the aviation industry since factors of influence are significantly different. In Aviation, it involves a mix of international and national factors such as the accountability (eg. the party responsible for the carbon emission) and the implications of members and non-members of the climate change treaties in different countries. Hence, taking into account all the determinant factors and different stakeholders involved in the process of the carbon accounting, we are proposing an efficacious and fair accountability model for the aviation industry in our research. This accountability model can be used to assist Australian government in coming up with a fair tax ‘relief/subsidy’ scheme for the aviation companies for a more sustainable tourism to the country; since inclusion of aviation into the carbon reduction scheme is going to be taxing to the aviation and tourism industry growth. This research will take a science and engineering approach and the outcome of this research would be significant to the Australian aviation sector. We will be using selected modelling techniques and publicly available data for the simulation.