2023 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Direct GHG emissions (Scope 1) | tonnes CO2e | 5155 | 6084 | 56 | |
| Direct GHG emissions (Scope 1) - Hotels | tonnes CO2e | 5144 | 6074 | 56 | |
| Direct GHG emissions (Scope 1) - Properties – Mainland China | tonnes CO2e | 8 | 8 | 56 | |
| Direct GHG emissions (Scope 1) - Property development – Hong Kong | tonnes CO2e | 0.05 | 56 | ||
| Direct GHG emissions (Scope 1) - Property management – Hong Kong | tonnes CO2e | 3 | 2 | 56 | |
| GHG emission intensity - Hotels | kg CO2e/equivalent guest night | 16.31 | 20.03 | 56 | |
| GHG emission intensity - Properties – Mainland China | kg CO2e/m² | 0.09 | 0.92 | 56 | |
| GHG emission intensity - Property development – Hong Kong | kg CO2e/m² | 12.07 | 0.1 | 56 | |
| GHG emission intensity - Property management – Hong Kong | kg CO2e/m² | 26.6 | 28.47 | 56 | |
| GHG emission reduction of AB tower and associated buildings, commercial street and residential buildings (2024 vs 2023 baseline) | reduction | 2% | 23 | ||
| Indirect GHG emission (Scope 2) | tonnes CO2e | 36211 | 40306 | 56 | |
| Indirect GHG emission (Scope 2) - Hotels | tonnes CO2e | 31288 | 34657 | 56 | |
| Indirect GHG emission (Scope 2) - Properties – Mainland China | tonnes CO2e | 22 | 309 | 56 | |
| Indirect GHG emission (Scope 2) - Property development – Hong Kong | tonnes CO2e | 70 | 1 | 56 | |
| Indirect GHG emission (Scope 2) - Property management – Hong Kong | tonnes CO2e | 4831 | 5339 | 56 | |
| Total GHG emissions | tonnes of CO2 equivalent (tonnes CO2e) | 41367 | 46391 | 56 | |
| Total GHG emissions - Hotels | tonnes CO2e | 36432 | 40732 | 56 | |
| Total GHG emissions - Properties – Mainland China | tonnes CO2e | 30 | 317 | 56 | |
| Total GHG emissions - Property development – Hong Kong | tonnes CO2e | 70 | 1 | 56 | |
| Total GHG emissions - Property management – Hong Kong | tonnes CO2e | 4835 | 5341 | 56 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Other waste recycled | kg | 43 | 367 | 59 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Aluminum cans recycled | kg | 3295 | 3806 | 59 |
| Food waste and donations recycled | kg | 83949 | 93223 | 59 |
| General waste disposed | tonnes | 7189 | 12093 | 59 |
| Glass recycled | kg | 11637 | 3818 | 59 |
| Hotels general waste disposed | tonnes | 2207 | 6066 | 59 |
| Metal and iron waste recycled | kg | 3500 | 1217 | 59 |
| Non-hazardous waste intensity – Hotels | kg/equivalent guest night | 0.99 | 2.98 | 59 |
| Non-hazardous waste intensity – Properties – Mainland China | kg/m² | 0.07 | 0.0001 | 59 |
| Non-hazardous waste intensity – Property development – Hong Kong | kg/m² | 19.74 | 0.09 | 59 |
| Non-hazardous waste intensity – Property management – Hong Kong | kg/m² | 26.64 | 32.13 | 59 |
| Other construction material waste recycled | kg | 50000 | 59 | |
| Paper/cardboard recycled | kg | 171488 | 123234 | 59 |
| Plastic bottles recycled | kg | 5314 | 6729 | 59 |
| Property development – Hong Kong general waste disposed | tonnes | 115 | 1 | 59 |
| Property management – Hong Kong general waste disposed | tonnes | 4842 | 6026 | 59 |
| Property – Mainland China general waste disposed | tonnes | 25 | 0.03 | 59 |
| Soap recycled | kg | 101 | 349 | 59 |
| Wood waste recycled | kg | 110 | 59 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2030 | Report Pages |
|---|---|---|---|---|
| GHG emission intensity reduction (Hong Kong properties) | % reduction compared to 2018 baseline | 9 | 21 | |
| GHG emission intensity reduction target (Hong Kong properties) | % reduction compared to 2018 baseline | 10 | 21 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Old concrete waste recycled | kg | 800 | 59 | ||
| Used cooking oil recycled | liter | 5192 | 7856 | 59 | |
| Waste diversion rate for residential buildings, commercial streets, AB tower and podium buildings | diversion rate | 50% | 23 | ||
| Waste recycling rate for residential buildings, commercial streets, AB tower and podium buildings | recycling rate | 50% | 23 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Electricity consumption | MWh | 78939 | 86113 | 57 |
| Fuel consumption | MWh | 4135 | 2708 | 57 |
| Hotels electricity consumption | MWh | 68256 | 74224 | 57 |
| Hotels energy consumption | MWh | 93978 | 105195 | 57 |
| Hotels energy intensity | MWh/equivalent guest night | 0.04 | 0.05 | 57 |
| Hotels fuel consumption | MWh | 4097 | 2676 | 57 |
| Properties – Mainland China electricity consumption | MWh | 39 | 543 | 57 |
| Properties – Mainland China energy consumption | MWh | 70 | 572 | 57 |
| Properties – Mainland China energy intensity | MWh/m² | 0.0002 | 0.002 | 57 |
| Properties – Mainland China fuel consumption | MWh | 31 | 29 | 57 |
| Property development – Hong Kong electricity consumption | MWh | 190 | 1 | 57 |
| Property development – Hong Kong energy consumption | MWh | 190 | 1 | 57 |
| Property development – Hong Kong energy intensity | MWh/m² | 0.03 | 0.0001 | 57 |
| Property management – Hong Kong electricity consumption | MWh | 10454 | 11345 | 57 |
| Property management – Hong Kong energy consumption | MWh | 10461 | 11348 | 57 |
| Property management – Hong Kong energy intensity | MWh/m² | 0.06 | 0.06 | 57 |
| Property management – Hong Kong fuel consumption | MWh | 7 | 3 | 57 |
| Total energy consumption | MWh | 104699 | 117117 | 57 |
| Towngas consumption in Hotels | MWh | 21625 | 28295 | 57 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Total water consumption | m³ | 870837 | 838896 | 58 |
| Water consumption by entity: Hotels | m³ | 816563 | 783911 | 58 |
| Water consumption by entity: Properties – Mainland China | m³ | 545 | 652 | 58 |
| Water consumption by entity: Property development – Hong Kong | m³ | 383 | 58 | |
| Water consumption by entity: Property management – Hong Kong | m³ | 53345 | 54333 | 58 |
| Water intensity: Hotels | m³/equivalent guest night | 0.37 | 0.39 | 58 |
| Water intensity: Properties – Mainland China | m³/m² | 0.002 | 0.002 | 58 |
| Water intensity: Property development – Hong Kong | m³/m² | 0.07 | 58 | |
| Water intensity: Property management – Hong Kong | m³/m² | 0.29 | 0.29 | 58 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2030 | Report Pages |
|---|---|---|---|---|
| Energy consumption intensity reduction in Tianjin Project (2024 vs 2023 baseline) | reduction | 2% | 23 | |
| Energy intensity reduction target (Hong Kong properties) | % reduction compared to 2018 baseline | 10 | 21 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Issue in sourcing water fit for purpose | no issue | 65 | ||
| Water consumption intensity reduction in Tianjin Project (2024 vs 2023 baseline) | reduction | 1% | 23 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Contract workforce | number of people | 99 | 158 | 61 |
| Female workforce | number of people | 815 | 875 | 61 |
| General staff workforce | number of people | 1417 | 1510 | 61 |
| Male workforce | number of people | 827 | 864 | 61 |
| Middle management workforce | number of people | 184 | 184 | 61 |
| Permanent workforce | number of people | 1542 | 1560 | 61 |
| Senior management workforce | number of people | 41 | 27 | 61 |
| Total workforce | number of people | 1642 | 1721 | 61 |
| Workforce aged 25–less than 40 | number of people | 418 | 389 | 61 |
| Workforce aged 40–less than 55 | number of people | 766 | 804 | 61 |
| Workforce aged 55 or above | number of people | 408 | 452 | 61 |
| Workforce in Hong Kong | number of people | 1635 | 61 | |
| Workforce in Mainland China | number of people | 86 | 61 | |
| Workforce under 25 | number of people | 50 | 76 | 61 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate by age group - 25–less than 40 | % | 52 | 54 | 61 |
| Employee turnover rate by age group - 40–less than 55 | % | 36 | 36 | 61 |
| Employee turnover rate by age group - 55 or above | % | 39 | 29 | 61 |
| Employee turnover rate by age group - Under 25 | % | 84 | 84 | 61 |
| Employee turnover rate by gender - Female | % | 43 | 36 | 61 |
| Employee turnover rate by gender - Male | % | 42 | 45 | 61 |
| Employee turnover rate by geographical location - Hong Kong | % | 42 | 61 | |
| Employee turnover rate by geographical location - Mainland China | % | 10 | 61 | |
| Overall turnover rate | % | N/A | 40 | 61 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Total number of lost days due to work injuries | number of days | 1936 | 1282 | 62 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Percentage of employees trained by employment category - General staff | % | 81 | 78 | 62 |
| Percentage of employees trained by employment category - Middle management | % | 17 | 20 | 62 |
| Percentage of employees trained by employment category - Senior management | % | 2 | 2 | 62 |
| Percentage of employees trained by gender - Female | % | 46 | 42 | 62 |
| Percentage of employees trained by gender - Male | % | 54 | 58 | 62 |
| Trainee workforce | number of people | 1 | 3 | 61 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Average training hours by employee category - General staff | number of hours | 1 | 1 | 62 |
| Average training hours by employee category - Middle management | number of hours | 1 | 4 | 62 |
| Average training hours by employee category - Senior management | number of hours | 0.3 | 6 | 62 |
| Average training hours by gender - Female | number of hours | 1 | 1 | 62 |
| Average training hours by gender - Male | number of hours | 1 | 2 | 62 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 5155 | 6084 |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 36211 | 40306 |
| Total GHG Emissions | tonnes CO2e | 41367 | 46391 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 7189 | 12093 |
| Non-Hazardous Waste Recycled | kg | 221284 | 234196 |
| Total Non-Hazardous Waste Intensity (By Area) | kg/m² | 0.07 | 32.13 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | kg/equivalent guest night | 0.99 | 2.98 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2030 |
|---|---|---|---|
| Reduction in GHG Intensity Compared to Last Year (By Area) | percent | 9 | |
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2018 | percent | 10 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 100 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Energy Consumption Intensity (By Area) | MWh/m² | 0.0002 | 0.002 |
| Purchased Electricity | MWh | 78939 | 86113 |
| Total Direct Energy Consumption | MWh | 4135 | 2708 |
| Total Energy Consumption | MWh | 104699 | 117117 |
| Total Indirect Energy Consumption | MWh | 78939 | 86113 |
| Total Non-Renewable Fuel Consumption | MWh | 4135 | 2708 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Water Consumption | m³ | 870837 | 838896 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2030 |
|---|---|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % | 2 | |
| Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % | 10 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | percent | |
| Water Consumption Reduction Percentage Compared to Last Year | percent | 1 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Contractors | number of people | 99 | 158 |
| Number of Employees Aged 30-50 | number of people | 418 | 389 |
| Number of Employees Aged Above 50 | number of people | 1174 | 1256 |
| Number of Employees Aged Below 30 | number of people | 50 | 76 |
| Number of Employees in Hong Kong | number of people | 1635 | |
| Number of Employees in Hong Kong and Mainland China | number of people | 1721 | |
| Number of Employees in Mainland China | number of people | 86 | |
| Number of Female Employees | number of people | 815 | 875 |
| Number of Full-time Employees | number of people | 1542 | 1560 |
| Number of General Employees | number of people | 1417 | 1510 |
| Number of Male Employees | number of people | 827 | 864 |
| Number of Middle Management Employees | number of people | 184 | 184 |
| Number of Senior Management Employees | number of people | 41 | 27 |
| Number of Total Employees | number of people | 1642 | 1721 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Turnover Rate of Employees in Hong Kong | % | 42 | |
| Turnover Rate of Employees in Mainland China | % | 10 | |
| Turnover Rate of Female Employees | % | 43 | 36 |
| Turnover Rate of Male Employees | % | 42 | 45 |
| Turnover Rate of Total Employees | % | 40 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | number of days | 1936 | 1282 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Percentage of Trained Female Employees | % | 46 | 42 |
| Percentage of Trained General Employees | % | 81 | 78 |
| Percentage of Trained Male Employees | % | 54 | 58 |
| Percentage of Trained Middle Management | % | 17 | 20 |
| Percentage of Trained Senior Management | % | 2 | 2 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Average Training Hours (Female) | number of hours | 1 | 1 |
| Average Training Hours (General Staff) | number of hours | 1 | 1 |
| Average Training Hours (Male) | number of hours | 1 | 2 |
| Average Training Hours (Middle Management) | number of hours | 1 | 4 |
| Average Training Hours (Senior Management) | number of hours | 0.3 | 6 |