2024 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Nitrogen Oxides (NOx) | kg | 449.24 | 500.82 | 72 |
Nitrogen Oxides (NOx) - Hotels | kg | 419.03 | 468.04 | 72 |
Nitrogen Oxides (NOx) - Properties – Mainland China | kg | 20.44 | 19.87 | 72 |
Nitrogen Oxides (NOx) - Property development – Hong Kong | kg | 0.01 | 0.01 | 72 |
Nitrogen Oxides (NOx) - Property management – Hong Kong | kg | 9.76 | 12.9 | 72 |
Particulate Matters (PM) | kg | 3.68 | 4.46 | 72 |
Particulate Matters (PM) - Hotels | kg | 1 | 1.61 | 72 |
Particulate Matters (PM) - Properties – Mainland China | kg | 1.96 | 1.9 | 72 |
Particulate Matters (PM) - Property development – Hong Kong | kg | 0.001 | 0.0007 | 72 |
Particulate Matters (PM) - Property management – Hong Kong | kg | 0.72 | 0.95 | 72 |
Sulphur Oxides (SOx) | kg | 6.12 | 2.44 | 72 |
Sulphur Oxides (SOx) - Hotels | kg | 6.06 | 2.39 | 72 |
Sulphur Oxides (SOx) - Properties – Mainland China | kg | 0.04 | 0.04 | 72 |
Sulphur Oxides (SOx) - Property development – Hong Kong | kg | 0.0003 | 0.0002 | 72 |
Sulphur Oxides (SOx) - Property management – Hong Kong | kg | 0.01 | 0.01 | 72 |
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 | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Direct GHG emissions (Scope 1) | tCO2e | 6084 | 6021 | 73 |
Direct GHG emissions (Scope 1) - Hotels | tCO2e | 6074 | 6003 | 73 |
Direct GHG emissions (Scope 1) - Properties – Mainland China | tCO2e | 8 | 7 | 73 |
Direct GHG emissions (Scope 1) - Property development – Hong Kong | tCO2e | 0.05 | 9 | 73 |
Direct GHG emissions (Scope 1) - Property management – Hong Kong | tCO2e | 2 | 2 | 73 |
GHG emission intensity - Hotels | kg CO2e/equivalent guest night | 20.03 | 11.25 | 73 |
GHG emission intensity - Properties – Mainland China | kg CO2e/m² | 149.45 | 146.42 | 73 |
GHG emission intensity - Properties – Mainland China (alternative row) | kg CO2e/m² | 0.92 | 0.94 | 73 |
GHG emission intensity - Property development – Hong Kong | kg CO2e/m² | 0.1 | 0.83 | 73 |
GHG emission intensity - Property management – Hong Kong | kg CO2e/m² | 28.47 | 28.6 | 73 |
Indirect GHG emission (Scope 2) | tCO2e | 40306 | 39527 | 73 |
Indirect GHG emission (Scope 2) - Hotels | tCO2e | 34657 | 33904 | 73 |
Indirect GHG emission (Scope 2) - Properties – Mainland China | tCO2e | 309 | 259 | 73 |
Indirect GHG emission (Scope 2) - Property development – Hong Kong | tCO2e | 0.85 | 0.55 | 73 |
Indirect GHG emission (Scope 2) - Property management – Hong Kong | tCO2e | 5339 | 5363 | 73 |
Total GHG emissions | tonnes of CO2 equivalent (tCO2e) | 46391 | 45548 | 73 |
Total GHG emissions - Hotels | tCO2e | 40732 | 39907 | 73 |
Total GHG emissions - Properties – Mainland China | tCO2e | 317 | 266 | 73 |
Total GHG emissions - Property development – Hong Kong | tCO2e | 1 | 1016 | 73 |
Total GHG emissions - Property management – Hong Kong | tCO2e | 5341 | 5365 | 73 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
General waste disposed - Hotels | tonnes | 6066 | 4095 | 76 |
General waste disposed - Property development – Hong Kong | tonnes | 1 | 200 | 76 |
General waste disposed - Property management – Hong Kong | tonnes | 6026 | 5940 | 76 |
General waste disposed - Property – Mainland China | tonnes | 0.03 | 0.01 | 76 |
General waste disposed - Total | tonnes | 12093 | 10235 | 76 |
Non-hazardous waste intensity - Hotels | kg/equivalent guest night | 2.98 | 1.15 | 76 |
Non-hazardous waste intensity - Properties – Mainland China | kg/m² | 0.0001 | 0.00004 | 76 |
Non-hazardous waste intensity - Property development – Hong Kong | kg/m² | 0.09 | 17.05 | 76 |
Non-hazardous waste intensity - Property management – Hong Kong | kg/m² | 32.13 | 31.66 | 76 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
GHG emission intensity reduction, Properties – Hong Kong | % | 29 | 20 | ||
GHG emissions reduction for AB tower and associated buildings, Tianjin Project (2025 vs 2024 baseline) | reduction | 2% | 22 | ||
Scope 1 and 2 GHG emission intensity reduction target (2023 baseline, hotels) | % | -20 | 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 | 2023 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Waste diversion rate for residential, commercial, AB tower and podium buildings (2025 target, Mainland China) | waste diversion rate | 50% | 22 | |||
Waste diversion rate increase target (2023 baseline, hotels) | double | 21 | ||||
Waste recycled - Aluminium cans | kg | 3806 | 3771 | 76 | ||
Waste recycled - Food waste and donations | kg | 93223 | 193518 | 76 | ||
Waste recycled - Glass | kg | 3818 | 14421 | 76 | ||
Waste recycled - Metal and iron | kg | 1217 | 350 | 76 | ||
Waste recycled - Old concrete | kg | 800 | 500 | 76 | ||
Waste recycled - Other construction material | kg | 50000 | 30000 | 76 | ||
Waste recycled - Others | kg | 367 | 84 | 76 | ||
Waste recycled - Paper/cardboard | kg | 123234 | 151687 | 76 | ||
Waste recycled - Plastic bottles | kg | 6729 | 7220 | 76 | ||
Waste recycled - Soap | kg | 349 | 85 | 76 | ||
Waste recycled - Used cooking oil | liter | 7856 | 16004 | 76 | ||
Waste recycled - Wood | kg | 110 | 76 | |||
Waste recycling rate for residential, commercial, AB tower and podium buildings (2025 target, Mainland China) | waste recycling rate | 50% | 22 |
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 | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Electricity | MWh | 86113 | 87564 | 74 |
Fuel | MWh | 2708 | 155 | 74 |
Hotels electricity | MWh | 74224 | 75796 | 74 |
Hotels energy intensity (per equivalent guest night) | MWh/equivalent guest night | 0.05 | 0.03 | 74 |
Hotels energy intensity (per m²) | MWh/m² | 0.39 | 0.28 | 74 |
Hotels fuel | MWh | 2676 | 82 | 74 |
Hotels total energy consumption | MWh | 105195 | 107115 | 74 |
Properties – Mainland China electricity | MWh | 543 | 482 | 74 |
Properties – Mainland China energy intensity | MWh/m² | 0.002 | 0.002 | 74 |
Properties – Mainland China fuel | MWh | 29 | 26 | 74 |
Properties – Mainland China total energy consumption | MWh | 572 | 508 | 74 |
Property development – Hong Kong electricity | MWh | 1 | 1 | 74 |
Property development – Hong Kong energy intensity | MWh/m² | 0.0001 | 0.003 | 74 |
Property development – Hong Kong fuel | MWh | 38 | 74 | |
Property development – Hong Kong total energy consumption | MWh | 1 | 39 | 74 |
Property management – Hong Kong electricity | MWh | 11345 | 11285 | 74 |
Property management – Hong Kong energy intensity | MWh/m² | 0.06 | 0.06 | 74 |
Property management – Hong Kong fuel | MWh | 3 | 9 | 74 |
Property management – Hong Kong total energy consumption | MWh | 11348 | 11294 | 74 |
Total energy consumption | MWh | 117117 | 118956 | 74 |
Towngas consumption in hotels | MWh | 28295 | 31237 | 74 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Energy consumption intensity reduction, Tianjin Project (2025 vs 2024 baseline) | reduction | 2% | 22 | |
Energy intensity reduction, Properties – Hong Kong | % | 10 | 20 |
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 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
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 | In 2024, there was no issue in sourcing water | 82 | |||
Water consumption intensity reduction, Tianjin Project (2025 vs 2024 baseline) | reduction | 1% | 22 | ||
Water intensity reduction target (2023 baseline, hotels) | % | -10 | 21 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2025 | Report Pages |
---|---|---|---|
BEAM Plus Existing Building certifications for hotel properties in Hong Kong | % | 30 | 21 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Indicator | Unit | 2100 | Report Pages |
---|---|---|---|
Global mean temperature rise, Brown Scenario | °C | >3 | 25 |
Global mean temperature rise, Turquoise Scenario | °C | 1.5–2 | 25 |
Projected warming, SSP1-2.6 pathway | °C | ~1.8 | 25 |
Projected warming, SSP5-8.5 pathway | °C | 4.4 | 25 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Contract workforce | number of people | 160 | 294 | 78 |
Female workforce | number of people | 934 | 978 | 78 |
General staff workforce | number of people | 1577 | 1651 | 78 |
Male workforce | number of people | 884 | 884 | 78 |
Middle management workforce | number of people | 207 | 176 | 78 |
Permanent workforce | number of people | 1655 | 1562 | 78 |
Senior management workforce | number of people | 34 | 35 | 78 |
Total workforce | number of people | 1818 | 1862 | 78 |
Total workforce by geographical location - Hong Kong | number of people | 1732 | 1791 | 79 |
Total workforce by geographical location - Mainland China | number of people | 86 | 71 | 79 |
Workforce 25–less than 40 | number of people | 425 | 442 | 78 |
Workforce 40–less than 55 | number of people | 845 | 866 | 78 |
Workforce 55 or above | number of people | 468 | 477 | 78 |
Workforce under 25 | number of people | 80 | 77 | 78 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Employee turnover rate by age group - 25 to less than 40 | % | 53 | 41 | 79 |
Employee turnover rate by age group - 40 to less than 55 | % | 35 | 29 | 79 |
Employee turnover rate by age group - 55 or above | % | 28 | 40 | 79 |
Employee turnover rate by age group - Under 25 | % | 83 | 91 | 79 |
Employee turnover rate by gender - Female | % | 35 | 30 | 79 |
Employee turnover rate by gender - Male | % | 44 | 45 | 79 |
Employee turnover rate by geographical location - Hong Kong | % | 41 | 38 | 79 |
Employee turnover rate by geographical location - Mainland China | % | 10 | 23 | 79 |
Overall turnover rate | % | 40 | 37 | 79 |
Lost days due to work injury.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Total number of lost days due to work injuries | number of days | 1289 | 1465 | 79 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Percentage of employees trained by employment category - General staff | % | 78 | 81 | 80 |
Percentage of employees trained by employment category - Middle management | % | 20 | 16 | 80 |
Percentage of employees trained by employment category - Senior management | % | 2 | 3 | 80 |
Percentage of employees trained by gender - Female | % | 43 | 46 | 80 |
Percentage of employees trained by gender - Male | % | 57 | 54 | 80 |
Trainee workforce | number of people | 3 | 6 | 78 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Average training hours by employee category - General staff | number of hours | 1 | 1 | 80 |
Average training hours by employee category - Middle management | number of hours | 4 | 4 | 80 |
Average training hours by employee category - Senior management | number of hours | 5 | 4 | 80 |
Average training hours by gender - Female | number of hours | 1 | 1 | 80 |
Average training hours by gender - Male | number of hours | 2 | 2 | 80 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of suppliers by geographical region - Hong Kong | number of suppliers | 3082 | 3188 | 80 |
Number of suppliers by geographical region - Mainland China | number of suppliers | 201 | 22 | 80 |
Number of suppliers by geographical region - Overseas | number of suppliers | 89 | 95 | 80 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 3.68 | 4.46 |
NOₓ Emissions | kg | 449.24 | 500.82 |
SOₓ Emissions | kg | 6.12 | 2.44 |
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 | 2023 | 2024 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 6084 | 6021 |
Indirect Energy Emissions (Scope 2) | tCO2e | 40306 | 39527 |
Total GHG Emissions | tCO2e | 46391 | 45548 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Non-Hazardous Waste Disposed | tonnes | 12093 | 10235 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 | 2025 | 2030 |
---|---|---|---|---|
GHG Emissions Reduction Percentage Compared to Last Year | % | 2 | ||
Percentage of Reduction in GHG Intensity Compared to Last Year | % | 29 | ||
Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2023 | % | 20 |
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 | 2025 |
---|---|---|
Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 50 |
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 | 2023 | 2024 |
---|---|---|---|
Energy Consumption Intensity (By Area) | MWh/m² | 0.39 | 0.28 |
Purchased Electricity | MWh | 86113 | 87564 |
Total Direct Energy Consumption | MWh | 2708 | 155 |
Total Energy Consumption | MWh | 117117 | 118956 |
Total Indirect Energy Consumption | MWh | 86113 | 87564 |
Total Non-Renewable Fuel Consumption | MWh | 2708 | 155 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 | 2025 |
---|---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % | 10 | |
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 2 |
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 | 2025 | 2030 |
---|---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % | 10 | |
Water Consumption Reduction Percentage Compared to Last Year | % | 1 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Contractors | number of people | 160 | 294 |
Number of Employees Aged 30-50 | number of people | 845 | 866 |
Number of Employees Aged Above 50 | number of people | 468 | 477 |
Number of Employees Aged Below 30 | number of people | 505 | 519 |
Number of Employees in Hong Kong | number of people | 1732 | 1791 |
Number of Employees in Hong Kong and Mainland China | number of people | 1818 | 1862 |
Number of Employees in Mainland China | number of people | 86 | 71 |
Number of Female Employees | number of people | 934 | 978 |
Number of Full-time Employees | number of people | 1655 | 1562 |
Number of General Employees | number of people | 1577 | 1651 |
Number of Male Employees | number of people | 884 | 884 |
Number of Middle Management Employees | number of people | 207 | 176 |
Number of Senior Management Employees | number of people | 34 | 35 |
Number of Total Employees | number of people | 1818 | 1862 |
Percentage of Contractors | percent | 8.8 | 15.8 |
Percentage of Employees Aged 30-50 | percent | 46.5 | 46.5 |
Percentage of Employees Aged Above 50 | percent | 25.7 | 25.6 |
Percentage of Employees Aged Below 30 | percent | 27.8 | 27.9 |
Percentage of Employees in Hong Kong | percent | 95.3 | 96.2 |
Percentage of Employees in Hong Kong and Mainland China | percent | 100 | 100 |
Percentage of Employees in Mainland China | percent | 4.7 | 3.8 |
Percentage of Female Employees | percent | 51.4 | 52.5 |
Percentage of General Employees | percent | 86.8 | 88.7 |
Percentage of Male Employees | percent | 48.6 | 47.5 |
Percentage of Middle Management Employees | percent | 11.4 | 9.5 |
Percentage of Senior Management Employees | percent | 1.9 | 1.9 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Turnover Rate of Employees in Hong Kong | % | 41 | 38 |
Turnover Rate of Employees in Mainland China | % | 10 | 23 |
Turnover Rate of Female Employees | % | 35 | 30 |
Turnover Rate of Male Employees | % | 44 | 45 |
Turnover Rate of Total Employees | % | 40 | 37 |
Lost days due to work injury.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Lost Days Due to Work-related Injuries | number of days | 1289 | 1465 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Percentage of Trained Female Employees | % | 43 | 46 |
Percentage of Trained General Employees | % | 78 | 81 |
Percentage of Trained Male Employees | % | 57 | 54 |
Percentage of Trained Middle Management | % | 20 | 16 |
Percentage of Trained Senior Management | % | 2 | 3 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
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 | 2 | 2 |
Average Training Hours (Middle Management) | number of hours | 4 | 4 |
Average Training Hours (Senior Management) | number of hours | 5 | 4 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Suppliers in Hong Kong | number of suppliers | 3082 | 3188 |
Number of Suppliers in Mainland China | number of suppliers | 201 | 22 |
Number of Suppliers in Overseas | number of suppliers | 89 | 95 |
Number of Total Suppliers | number of suppliers | 3372 | 3305 |