Page 295 - Special Topic Session (STS) - Volume 4

STS587 Guangwu C.
accommodation industries provide a broader range of goods and services for
guests thus leading to a higher cost.

Comparison of CF based on four scenarios between Airbnb and
traditional accommodation sector
CF (kg CO 2e per room per night) Scenario_1 Scenario_2 Scenario_3 Scenario_
4
Food - - - 3.39
Clothing and footwear - - - 0.76
Electricity 2.68 2.68 2.68 2.68
Household equipment, water and 0.15 0.41 1.74 4.12
other energy
Transport - - - 4.20
Communication - - 0.09 0.60
Education - - - 0.33
Holiday - - - 2.37
Miscellaneous goods and services 0.50 0.64 0.95 3.12
Direct emissions of domestic energy 0.86 0.86 0.86 0.86
Direct emissions of private transport - - - 4.68
Sum of CF (kg CO 2e per room per 4.19 4.59 6.31 27.11
night)
Sum of Spending ($AUD per room 2.55 4.07 9.52 65.19
per night)
Average price ($AUD per room per 104 104 104 -
night)
Carbon Intensity (kg/$) 0.02 0.04 0.09 -
CF of booking services ( kg CO 2e per 3.08 3.08 3.08 -
room per night)
Traditional accommodation sector 60.90
CF (kg CO 2e per room per night)
Traditional accommodation sector
Carbon 0.38
Intensity (kg/$)

4. Discussion and Conclusion
The Chinese IELab is also the first MRIO system to include Tibet and cover
the entire economic territory boundary of 31 provinces including all 2874
regions. Rapid economic growth in recent decades has meant that close
regional linkages are no longer limited to the developed coastal areas but are
spreading into developing and poor central and west regions. For example,
with the construction of the Qinghai-Tibet railway, Tibet’s economy has
strongly benefited from the increase in freight in and out of Tibet and has also
seen its tourism industry boom. It is therefore of crucial importance to use
subnational MRIOs to guide policy-making on environmental, social and

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