Sustainability Report 2024
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 | 2021/2022 | 2022/2023 | 2023/2024 | 2030 | FY2030 | Report Pages |
|---|---|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 3735.5 | 3541.5 | 3864.8 | 174 | ||
| Direct GHG Emissions (Scope 1) - Construction Sites | tonnes CO2e | 168.9 | 57.8 | 13.6 | 174 | ||
| Direct GHG Emissions (Scope 1) - Hotels | tonnes CO2e | 929 | 2137.2 | 2370.8 | 174 | ||
| Direct GHG Emissions (Scope 1) - Property Management | tonnes CO2e | 2637.6 | 1346.5 | 1480.5 | 174 | ||
| GHG emissions intensity (location-based), Construction Sites (tonnes CO2e/m2) | tonnes CO2e/m2 | 0.009 | 0.015 | 0.022 | 175 | ||
| GHG emissions intensity (location-based), Head Office (tonnes CO2e/employee) | tonnes CO2e/employee | 0.53 | 0.73 | 0.71 | 175 | ||
| GHG emissions intensity (location-based), Hotels (tonnes CO2e/visitor night) | tonnes CO2e/visitor night | 0.067 | 0.064 | 0.053 | 175 | ||
| GHG emissions intensity (location-based), Property Management (tonnes CO2e/m2) | tonnes CO2e/m2 | 0.022 | 0.021 | 0.022 | 175 | ||
| GHG emissions intensity (market-based), Construction Sites (tonnes CO2e/m2) | tonnes CO2e/m2 | 0.009 | 0.015 | 0.022 | 175 | ||
| GHG emissions intensity (market-based), Head Office (tonnes CO2e/employee) | tonnes CO2e/employee | 0.53 | 0.73 | 0.71 | 175 | ||
| GHG emissions intensity (market-based), Hotels (tonnes CO2e/visitor night) | tonnes CO2e/visitor night | 0.067 | 0.064 | 0.053 | 175 | ||
| GHG emissions intensity (market-based), Property Management (tonnes CO2e/m2) | tonnes CO2e/m2 | 0.022 | 0.021 | 0.022 | 175 | ||
| Indirect GHG Emissions (Scope 2 – Location-based) | tonnes CO2e | 117284.1 | 127120.9 | 126972.3 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Location-based) - Construction Sites | tonnes CO2e | 1069.8 | 986.2 | 158.8 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Location-based) - Head Office | tonnes CO2e | 491.7 | 631 | 564.4 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Location-based) - Hotels | tonnes CO2e | 10245.3 | 17504.6 | 16351.2 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Location-based) - Property Management | tonnes CO2e | 105477.3 | 107999.1 | 109897.9 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Market-based) | tonnes CO2e | 117284.1 | 127120.9 | 126972.3 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Market-based) - Construction Sites | tonnes CO2e | 1069.8 | 986.2 | 158.8 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Market-based) - Head Office | tonnes CO2e | 491.7 | 631 | 564.4 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Market-based) - Hotels | tonnes CO2e | 10245.3 | 17504.6 | 16351.2 | 174 | ||
| Indirect GHG Emissions (Scope 2 – Market-based) - Property Management | tonnes CO2e | 105477.3 | 107999.1 | 109897.9 | 174 | ||
| Other Indirect GHG Emissions (Scope 3) | tonnes CO2e | 2099.9 | 1401.9 | 1368.6 | 174 | ||
| Other Indirect GHG Emissions (Scope 3) - Construction Sites | tonnes CO2e | 65.8 | 25.6 | 22.3 | 174 | ||
| Other Indirect GHG Emissions (Scope 3) - Head Office | tonnes CO2e | 0.5 | 43.6 | 73.5 | 174 | ||
| Other Indirect GHG Emissions (Scope 3) - Hotels | tonnes CO2e | 153.6 | 334.4 | 339.8 | 174 | ||
| Other Indirect GHG Emissions (Scope 3) - Property Management | tonnes CO2e | 1880 | 998.3 | 928 | 174 | ||
| Reduction in greenhouse gas emissions intensity (compared to 2012 baseline) | at least 30% | 15 | |||||
| Scope 3 GHG emissions from capital goods, fuel and energy-related activities, and waste generated in operations per square foot (from FY2022 baseline) | % | -51.6 | 69 | ||||
| Scope 3 GHG emissions from leased assets per square foot (from FY2022 baseline) | % | -51.6 | 69 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 | Report Pages |
|---|---|---|---|---|---|
| Hazardous Waste Disposal - Head Office (kg) | kg | 87 | 82.1 | 52.9 | 177 |
| Hazardous Waste Disposal - Property Management (kg) | kg | 2178.1 | 1939.8 | 2325.2 | 177 |
| Hazardous Waste Disposal - Sino Land (kg) | kg | 2265.1 | 2021.9 | 2378 | 177 |
| Hazardous Waste Intensity - Head Office (kg/employee) | kg/employee | 0.09 | 0.09 | 0.06 | 178 |
| Hazardous Waste Intensity - Property Management (kg/m²) | kg/m² | 0.00042 | 0.00037 | 0.00045 | 178 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 | Report Pages |
|---|---|---|---|---|---|
| Materials Recycled - Aluminium Cans (tonnes) | tonnes | 0.8 | 18.5 | 32.6 | 178 |
| Materials Recycled - Construction Waste (tonnes) | tonnes | 342 | 72.3 | 552 | 178 |
| Materials Recycled - Food Waste (tonnes) | tonnes | 83.7 | 401.1 | 428.7 | 178 |
| Materials Recycled - Glass Bottles (tonnes) | tonnes | 125.2 | 195 | 56.3 | 178 |
| Materials Recycled - Grease Trap Waste (tonnes) | tonnes | 7587.8 | 309.1 | 305.6 | 178 |
| Materials Recycled - Metals (tonnes) | tonnes | 18.5 | 3.6 | 9.6 | 178 |
| Materials Recycled - Paper (tonnes) | tonnes | 1228.7 | 1313.5 | 1590.8 | 178 |
| Materials Recycled - Plastic (tonnes) | tonnes | 2.7 | 78.9 | 76.5 | 178 |
| Materials Recycled - Used Cooking Oil (tonnes) | tonnes | 4.7 | 10.7 | 10.8 | 178 |
| Non-Hazardous Waste Disposal - Construction Sites (tonnes) | tonnes | 25511.3 | 2391 | 1011.8 | 177 |
| Non-Hazardous Waste Disposal - Head Office (tonnes) | tonnes | 12.5 | 18.7 | 15.6 | 177 |
| Non-Hazardous Waste Disposal - Hotels (tonnes) | tonnes | 871.9 | 4404.6 | 4167.6 | 177 |
| Non-Hazardous Waste Disposal - Property Management (tonnes) | tonnes | 48892.3 | 44524.3 | 65310.6 | 177 |
| Non-Hazardous Waste Disposal - Sino Land (tonnes) | tonnes | 75288 | 51338.6 | 70505.5 | 177 |
| Non-Hazardous Waste Intensity - Construction Sites (tonnes/m²) | tonnes/m² | 0.17 | 0.033 | 0.114 | 177 |
| Non-Hazardous Waste Intensity - Head Office (tonnes/employee) | tonnes/employee | 0.01 | 0.02 | 0.02 | 177 |
| Non-Hazardous Waste Intensity - Hotels (tonnes/visitor night) | tonnes/visitor night | 0.01 | 0.01 | 0.01 | 177 |
| Non-Hazardous Waste Intensity - Property Management (tonnes/m²) | tonnes/m² | 0.01 | 0.01 | 0.01 | 177 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2030 | 2050 | FY2030 | Report Pages |
|---|---|---|---|---|---|---|
| Absolute Scope 1 and 2 GHG emissions reduction target (from FY2019 baseline) | % | 46.2% | -46.2 | 69, 240 | ||
| Accumulated renewable energy generation target by 2030 above 2012 level | kWh | 6000000 | 77 | |||
| GHG emission reduction from 2012 baseline | % | -60.34 | -30 | 65 | ||
| Greenhouse gas emission reduction from 2012 baseline by 2030 | percent | 30 | 14 | |||
| Scope 1 and 2 GHG emissions reduction per square metre from 2018 baseline | % | -53.1 | 65 | |||
| Scope 3 GHG emissions reduction target from capital goods, fuel and energy-related activities, and waste generated in operations (from FY2022 baseline) | % per square foot | 51.6% | 240 | |||
| Scope 3 GHG emissions reduction target from leased assets (from FY2022 baseline) | % per square foot | 51.6% | 240 | |||
| Sino Land net zero emissions target (Business Ambition for 1.5°C) | net zero | 199 |
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 | 2024 | 2030 | 2035 | Report Pages |
|---|---|---|---|---|---|---|
| Commercial waste diverted from landfill | % | 31.8 | 66 | |||
| Commercial waste diverted from landfill by 2030 | percent | 50 | 14 | |||
| Eliminate all single-use plastic items by 2035 across core operations | single-use plastic items | Eliminate | 14 | |||
| Elimination of single-use plastic products in hotels | N/A | 15 | ||||
| Proportion of construction waste diverted from landfill | % | 50 | 15 | |||
| Reduction in consumption of individual single-use plastic items across all business lines from 2017 baseline | % | 77.1 | 80 | |||
| Single-use plastic consumption reduction across all business lines from 2017 baseline by 2022 | percent | 50 | 14 | |||
| Single-use plastic consumption reduction from 2017 baseline across all business lines | % | -77.1 | 66 |
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 | 2021/2022 | 2022 | 2022/2023 | 2023/2024 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Construction Sites fuel consumption – Ultra low sulphur diesel (L) | L | 64514 | 13017 | 5396 | 176 | |||
| Construction Sites fuel intensity – Ultra low sulphur diesel (L/m²) | L/m² | 0.4 | 0.2 | 0.6 | 176 | |||
| Electricity consumption, Construction Sites | kWh | 2666659 | 2442292 | 261151 | 175 | |||
| Electricity consumption, Head Office | kWh | 1260895 | 1617910 | 1447158 | 175 | |||
| Electricity consumption, Hotels | kWh | 22083939 | 35516581 | 31317339 | 175 | |||
| Electricity consumption, Property Management | kWh | 249318052 | 246834538 | 254821623 | 175 | |||
| Electricity consumption, Sino Land | kWh | 275329545 | 286411321 | 287847270 | 175 | |||
| Head Office electricity intensity (kWh/employee) | kWh/employee | 1369.1 | 1752.9 | 1595.5 | 176 | |||
| Hotels electricity intensity (kWh/visitor night) | kWh/visitor night | 130.2 | 113.2 | 87.5 | 176 | |||
| Hotels fuel consumption – Gas (m³) | m³ | 562402 | 1302803 | 1423657 | 176 | |||
| Hotels fuel intensity – Gas (m³/visitor night) | m³/visitor night | 3.3 | 4.2 | 4 | 176 | |||
| Number of EV chargers installed at managed properties | chargers | 1800 | 76 | |||||
| Number of photovoltaic panels installed at properties under the Group's management in Hong Kong as of 30 June 2024 | panels | 4000 | 77 | |||||
| Property Management electricity intensity (kWh/m²) | kWh/m² | 48.1 | 47 | 49.6 | 176 | |||
| Property Management fuel consumption – Ultra low sulphur diesel (L) | L | 10131 | 13241 | 15571 | 176 | |||
| Property Management fuel intensity – Ultra low sulphur diesel (L/m²) | L/m² | 0.002 | 0.003 | 0.003 | 176 | |||
| Reduction in electricity consumption intensity (compared to 2018 baseline) | at least 30% | 15 | ||||||
| Renewable energy generation as a percentage of total electricity consumption (compared to 2018 baseline) | % | 53.1 | 15 | |||||
| Renewable energy generation capacity | kWh | 6000000 | 15 | |||||
| Renewable energy generation from 2012 level | kWh | >3788000 | 6000000 | 65 | ||||
| Total energy consumption (kWh) | kWh | 279250400 | 294855207 | 297481744 | 176 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Construction Sites electricity intensity (kWh/m²) | kWh/m² | 17.8 | 34.1 | 29.3 | 176 | |
| Construction Sites water consumption (m³) | m³ | 49895 | 15121 | 23422 | 176 | |
| Hotels water consumption (m³) | m³ | 242475 | 387156 | 396057 | 176 | |
| Property Management water consumption (m³) | m³ | 1188200 | 1375707 | 1239642 | 176 | |
| Reduction in water consumption intensity (compared to 2018 baseline) | at least 20% | 15 | ||||
| Sino Land water consumption (m³) | m³ | 1480570 | 1777985 | 1659120 | 176 | |
| Water Intensity - Construction Sites (m³/m²) | m³/m² | 0.33 | 0.21 | 2.63 | 177 | |
| Water Intensity - Hotels (m³/visitor night) | m³/visitor night | 1.4 | 1.2 | 1.1 | 177 | |
| Water Intensity - Property Management (m³/m²) | m³/m² | 0.2 | 0.3 | 0.2 | 177 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2024-06-30 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption reduction from 2012 baseline | % | -60.34 | -30 | 65 | |
| Electricity consumption reduction from 2012 baseline by 2030 | percent | 30 | 14 | ||
| Electricity intensity reduction from 2018 baseline by 2030 | percent | 30 | 14 | ||
| Electricity use intensity reduction from 2018 baseline | % | -8.37 | 66 | ||
| Renewable energy generation from 2012 level by 2030 | kWh | 6000000 | 14 | ||
| Renewable energy generation target compared to 2012 level | kWh | 8000000 | 15 | ||
| Sino Group's goal for renewable energy generation (from 2012 level by 2030) | kWh | 8000000 | 67 | ||
| Water consumption intensity reduction from 2018 baseline | %, percent | -23.82 | 23.82 | 66, 84 | |
| Water consumption intensity reduction from 2018 baseline by 2030 | percent | 20 | 14 |
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 | 2030 | Report Pages |
|---|---|---|---|
| Targeted reduction in water consumption intensity from 2018 baseline by 2030 | percent | 20 | 84 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2021/2022 | 2022 | 2022/2023 | 2023/2024 | Report Pages |
|---|---|---|---|---|---|---|
| Reduction in single-use plastic consumption in offices (compared to 2017 baseline) | % | 50 | 15 | |||
| Use of Materials - Packaging Materials (tonnes) | tonnes | 28.8 | 89 | 14.1 | 178 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Advocate of Sustainable Property: 6 managed properties | managed properties | 6 | 166 | ||
| All new development projects to conduct tree assessments to conserve and enhance urban biodiversity | N/A | 15 | |||
| CarbonCare Label: CarbonCare Star Label & CarbonCare Label | managed properties | 5 | 170 | ||
| Duration of Water Gummy Lab 2.0 | October to November | 290 | |||
| IAQ Certification Scheme: 'Excellent Class' Premises | managed properties | 17 | 170 | ||
| Number of managed properties with over 1800 EV chargers installed | properties | 21 | 76 | ||
| Number of managed properties with reverse vending machines installed as of 30 June 2024 | properties | 14 | 82 | ||
| Obtain BEAM Plus Gold or above certification at 100% of wholly-owned new development projects where applicable | of wholly-owned new development projects | 100% | 16 | ||
| 於2030年前，營運據點100%全數通過新有發展項目取得綠建築評鑑銀級或以上認證 | 營運據點 | 100% | 17 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022/2023 | 2022/23 | 2023 | 2023/2024 | 2023/24 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Contract/Short-term Staff - Hong Kong and Mainland China | people | 1567 | 1951 | 181 | |||||
| Contract/Short-term Staff - Singapore | people | 32 | 34 | 181 | |||||
| Director Level Female - Hong Kong and Mainland China | people | 9 | 7 | 182 | |||||
| Director Level Female - Singapore | people | 4 | 4 | 182 | |||||
| Director Level Female - Sydney | people | 2 | 2 | 182 | |||||
| Director Level Male - Hong Kong and Mainland China | people | 18 | 25 | 182 | |||||
| Director Level Male - Singapore | people | 5 | 5 | 182 | |||||
| Director Level Male - Sydney | people | 4 | 4 | 182 | |||||
| Director Level employees - Hong Kong and Mainland China | people | 27 | 32 | 181 | |||||
| Director Level employees - Singapore | people | 9 | 9 | 181 | |||||
| Director Level employees - Sydney | people | 6 | 6 | 181 | |||||
| Diversity - Hong Kong and Mainland China - Chinese (number and rate) | people | 8537 (96.5%) | 8962 (96.6%) | 184 | |||||
| Diversity - Hong Kong and Mainland China - Non-Chinese (number and rate) | people | 306 (3.5%) | 316 (3.4%) | 184 | |||||
| Diversity - Singapore - Chinese (number and rate) | people | 280 (57.1%) | 310 (59.4%) | 184 | |||||
| Diversity - Singapore - Indian (number and rate) | people | 53 (10.8%) | 60 (11.5%) | 184 | |||||
| Diversity - Singapore - Malay (number and rate) | people | 61 (12.5%) | 61 (11.7%) | 184 | |||||
| Diversity - Singapore - Others (number and rate) | people | 96 (19.6%) | 91 (17.4%) | 184 | |||||
| Diversity - Sydney - Asian (number and %) | people (15.0%), people (36.4%) | 91 | 43 | 185 | |||||
| Diversity - Sydney - Australian (number and %) | people (27.6%), people (34.5%) | 69 | 99 | 185 | |||||
| Diversity - Sydney - European (number and %) | people (11.1%), people (8.4%) | 21 | 32 | 185 | |||||
| Diversity - Sydney - North American (number and %) | people (0.3%), people (0.4%) | 1 | 1 | 185 | |||||
| Diversity - Sydney - Others (number and %) | people (26.4%), people (38.7%) | 66 | 111 | 185 | |||||
| Diversity - Sydney - South African (number and %) | people (0.3%), people (0.8%) | 2 | 1 | 185 | |||||
| Employees - Female - Full-time - Hong Kong and Mainland China | people | 3635 | 3694 | 180 | |||||
| Employees - Female - Full-time - Singapore | people | 193 | 223 | 180 | |||||
| Employees - Female - Full-time - Sydney | people | 83 | 98 | 180 | |||||
| Employees - Female - Hong Kong and Mainland China | people | 4526 | 4781 | 180 | |||||
| Employees - Female - Part-time - Hong Kong and Mainland China | people | 891 | 1087 | 180 | |||||
| Employees - Female - Part-time - Singapore | people | 18 | 180 | ||||||
| Employees - Female - Part-time - Sydney | people | 46 | 54 | 180 | |||||
| Employees - Female - Singapore | people | 211 | 223 | 180 | |||||
| Employees - Female - Sydney | people | 129 | 152 | 180 | |||||
| Employees - Male - Full-time - Hong Kong and Mainland China | people | 3650 | 3633 | 180 | |||||
| Employees - Male - Full-time - Singapore | people | 265 | 298 | 180 | |||||
| Employees - Male - Full-time - Sydney | people | 86 | 96 | 180 | |||||
| Employees - Male - Hong Kong and Mainland China | people | 4317 | 4497 | 180 | |||||
| Employees - Male - Part-time - Hong Kong and Mainland China | people | 667 | 864 | 180 | |||||
| Employees - Male - Part-time - Singapore | people | 14 | 1 | 180 | |||||
| Employees - Male - Part-time - Sydney | people | 35 | 39 | 180 | |||||
| Employees - Male - Singapore | people | 279 | 299 | 180 | |||||
| Employees - Male - Sydney | people | 121 | 135 | 180 | |||||
| Employees - Permanent - Female - Hong Kong and Mainland China | people | 3561 | 3642 | 180 | |||||
| Employees - Permanent - Female - Singapore | people | 193 | 201 | 180 | |||||
| Employees - Permanent - Female - Sydney | people | 129 | 152 | 180 | |||||
| Employees - Permanent - Hong Kong and Mainland China | people | 7101 | 7215 | 180 | |||||
| Employees - Permanent - Male - Hong Kong and Mainland China | people | 3540 | 3573 | 180 | |||||
| Employees - Permanent - Male - Singapore | people | 265 | 287 | 180 | |||||
| Employees - Permanent - Male - Sydney | people | 121 | 135 | 180 | |||||
| Employees - Permanent - Singapore | people | 458 | 488 | 180 | |||||
| Employees - Permanent - Sydney | people | 250 | 287 | 180 | |||||
| Employees - Temporary - Female - Hong Kong and Mainland China | people | 965 | 1139 | 180 | |||||
| Employees - Temporary - Female - Singapore | people | 18 | 22 | 180 | |||||
| Employees - Temporary - Female - Sydney | people | - | 180 | ||||||
| Employees - Temporary - Hong Kong and Mainland China | people | 1742 | 2063 | 180 | |||||
| Employees - Temporary - Male - Hong Kong and Mainland China | people | 777 | 924 | 180 | |||||
| Employees - Temporary - Male - Singapore | people | 14 | 12 | 180 | |||||
| Employees - Temporary - Male - Sydney | people | - | 180 | ||||||
| Employees - Temporary - Singapore | people | 32 | 34 | 180 | |||||
| Employees - Temporary - Sydney | people | - | 180 | ||||||
| Employees 30-50 years old - Hong Kong and Mainland China | people | 3156 | 3090 | 181 | |||||
| Employees 30-50 years old - Singapore | people | 261 | 281 | 181 | |||||
| Employees 30-50 years old - Sydney | people | 100 | 89 | 181 | |||||
| Employees over 50 years old - Hong Kong and Mainland China | people | 4981 | 5407 | 181 | |||||
| Employees over 50 years old - Singapore | people | 110 | 128 | 181 | |||||
| Employees over 50 years old - Sydney | people | 49 | 53 | 181 | |||||
| Employees under 30 years old - Hong Kong and Mainland China | people | 706 | 781 | 181 | |||||
| Employees under 30 years old - Singapore | people | 119 | 113 | 181 | |||||
| Employees under 30 years old - Sydney | people | 101 | 145 | 181 | |||||
| Entry Level employees - Hong Kong and Mainland China | people | 5744 | 5779 | 181 | |||||
| Entry Level employees - Singapore | people | 138 | 129 | 181 | |||||
| Entry Level employees - Sydney | people | 202 | 223 | 181 | |||||
| Gender pay ratio (female to male) | 1.26 | 95 | |||||||
| Maintain gender pay ratio at 1:1 | 1:1 | 16 | |||||||
| Management Positions in Revenue-generating Functions Female - Hong Kong and Mainland China | people | 93 | 85 | 182 | |||||
| Management Positions in Revenue-generating Functions Female - Singapore | people | 27 | 6 | 182 | |||||
| Management Positions in Revenue-generating Functions Female - Sydney | people | 12 | 9 | 182 | |||||
| Management Positions in Revenue-generating Functions Male - Hong Kong and Mainland China | people | 108 | 103 | 182 | |||||
| Management Positions in Revenue-generating Functions Male - Singapore | people | 8 | 10 | 182 | |||||
| Management Positions in Revenue-generating Functions Male - Sydney | people | 10 | 5 | 182 | |||||
| Middle Level Female - Hong Kong and Mainland China | people | 514 | 488 | 182 | |||||
| Middle Level Female - Singapore | people | 102 | 111 | 182 | |||||
| Middle Level Female - Sydney | people | 8 | 25 | 182 | |||||
| Middle Level Male - Hong Kong and Mainland China | people | 509 | 502 | 182 | |||||
| Middle Level Male - Singapore | people | 142 | 164 | 182 | |||||
| Middle Level Male - Sydney | people | 13 | 22 | 182 | |||||
| Middle Level employees - Hong Kong and Mainland China | people | 1023 | 990 | 181 | |||||
| Middle Level employees - Singapore | people | 244 | 275 | 181 | |||||
| Middle Level employees - Sydney | people | 21 | 47 | 181 | |||||
| New hires by age group (30-50 years old) - 2022/2023 | people (45.2%) | 1589 | 183 | ||||||
| New hires by age group (30-50 years old) - 2023/2024 | people (33.0%) | 1143 | 183 | ||||||
| New hires by age group (over 50 years old) - 2022/2023 | people (38.4%) | 1974 | 183 | ||||||
| New hires by age group (over 50 years old) - 2023/2024 | people (35.1%) | 1961 | 183 | ||||||
| New hires by age group (under 30 years old) - 2022/2023 | people (87.0%) | 806 | 183 | ||||||
| New hires by age group (under 30 years old) - 2023/2024 | people (79.5%) | 826 | 183 | ||||||
| New hires by gender (female) - 2022/2023 | people (49.3%) | 2397 | 183 | ||||||
| New hires by gender (female) - 2023/2024 | people (40.9%) | 2108 | 183 | ||||||
| New hires by gender (male) - 2022/2023 | people (41.8%) | 1972 | 183 | ||||||
| New hires by gender (male) - 2023/2024 | people (36.9%) | 1822 | 183 | ||||||
| Number of Employees Entitled to Paternity or Maternity Leave - Hong Kong and Mainland China - Female | people | 3446 | 3602 | 185 | |||||
| Number of Employees Entitled to Paternity or Maternity Leave - Hong Kong and Mainland China - Male | people | 3321 | 3443 | 185 | |||||
| Number of Employees Entitled to Paternity or Maternity Leave - Singapore - Female | people | 233 | 207 | 185 | |||||
| Number of Employees Entitled to Paternity or Maternity Leave - Singapore - Male | people | 293 | 288 | 185 | |||||
| Number of Employees Entitled to Paternity or Maternity Leave - Sydney - Female | people | 179 | 151 | 185 | |||||
| Number of Employees Entitled to Paternity or Maternity Leave - Sydney - Male | people | 186 | 135 | 185 | |||||
| Number of Employees Returning to Work After Paternity or Maternity Leave (Female) - Hong Kong and Mainland China | people | 43 | 36 | 186 | |||||
| Number of Employees Returning to Work After Paternity or Maternity Leave (Female) - Singapore | people | 2 | 3 | 186 | |||||
| Number of Employees Returning to Work After Paternity or Maternity Leave (Female) - Sydney | people | 2 | 186 | ||||||
| Number of Employees Returning to Work After Paternity or Maternity Leave (Male) - Hong Kong and Mainland China | people | 25 | 36 | 186 | |||||
| Number of Employees Returning to Work After Paternity or Maternity Leave (Male) - Singapore | people | 2 | 4 | 186 | |||||
| Number of Employees Taking Paternity or Maternity Leave - Hong Kong and Mainland China - Female | people | 47 | 36 | 185 | |||||
| Number of Employees Taking Paternity or Maternity Leave - Hong Kong and Mainland China - Male | people | 25 | 36 | 185 | |||||
| Number of Employees Taking Paternity or Maternity Leave - Singapore - Female | people | 2 | 3 | 185 | |||||
| Number of Employees Taking Paternity or Maternity Leave - Singapore - Male | people | 2 | 4 | 185 | |||||
| Number of Employees Taking Paternity or Maternity Leave - Sydney - Female | people | 2 | 2 | 185 | |||||
| Number of female employees receiving regular performance reviews | people (100%) | 4866 | 5156 | 189 | |||||
| Number of full-time employees (Hong Kong Volunteer Award) | employees | more than 1000 | 161 | ||||||
| Number of working days (Hong Kong, contractors and subcontractors on construction sites) | days | 111251 | 55399 | 188 | |||||
| Percentage of females in management positions | % | 39.11 | 95 | ||||||
| Return to Work Rate (Female) - Hong Kong and Mainland China | 91% | 100% | 186 | ||||||
| Return to Work Rate (Female) - Singapore | 100% | 100% | 186 | ||||||
| Return to Work Rate (Female) - Sydney | 0% | 100% | 186 | ||||||
| Return to Work Rate (Male) - Hong Kong and Mainland China | 100% | 100% | 186 | ||||||
| Return to Work Rate (Male) - Singapore | 100% | 100% | 186 | ||||||
| Return to Work Rate (Male) - Sydney | – | – | 186 | ||||||
| STEM-related Positions Female - Hong Kong and Mainland China | people | 25 | 33 | 182 | |||||
| STEM-related Positions Female - Singapore | people | 2 | 182 | ||||||
| STEM-related Positions Male - Hong Kong and Mainland China | people | 127 | 149 | 182 | |||||
| STEM-related Positions Male - Singapore | people | 2 | 2 | 182 | |||||
| STEM-related Positions Male - Sydney | people | 3 | 4 | 182 | |||||
| Senior Level Female - Hong Kong and Mainland China | people | 199 | 211 | 182 | |||||
| Senior Level Female - Singapore | people | 25 | 27 | 182 | |||||
| Senior Level Female - Sydney | people | 10 | 5 | 182 | |||||
| Senior Level Male - Hong Kong and Mainland China | people | 283 | 315 | 182 | |||||
| Senior Level Male - Singapore | people | 42 | 48 | 182 | |||||
| Senior Level Male - Sydney | people | 11 | 6 | 182 | |||||
| Senior Level employees - Hong Kong and Mainland China | people | 482 | 526 | 181 | |||||
| Senior Level employees - Singapore | people | 67 | 75 | 181 | |||||
| Senior Level employees - Sydney | people | 21 | 11 | 181 | |||||
| Thousand hours worked (Hong Kong and Mainland China) | thousand hours | 19646 | 17945 | 187 | |||||
| Thousand hours worked (Singapore) | thousand hours | 1048 | 1091 | 187 | |||||
| Thousand hours worked (Sydney) | thousand hours | 164 | 31 | 187 | |||||
| Total number of new hires - Hong Kong and Mainland China | people | 3884 | 3547 | 183 | |||||
| Total number of new hires - Singapore | people | 267 | 222 | 183 | |||||
| Total number of new hires - Sydney | people | 218 | 161 | 183 | |||||
| 於2030年前，性別薪酬比保持在1:1 | 1:1 | 17 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022/2023 | 2022/23 | 2023/2024 | 2023/24 | Report Pages |
|---|---|---|---|---|---|---|
| Employee turnover - 30-50 years old (number and rate) | people | 1352 (38.4%) | 1041 (30.1%) | 184 | ||
| Employee turnover - Female (number and rate) | people | 2100 (43.2%) | 1798 (34.9%) | 184 | ||
| Employee turnover - Male (number and rate) | people | 1857 (39.4%) | 1599 (32.4%) | 184 | ||
| Employee turnover - Over 50 years old (number and rate) | people | 2061 (40.1%) | 1754 (31.4%) | 184 | ||
| Employee turnover - Under 30 years old (number and rate) | people | 544 (58.7%) | 602 (57.9%) | 184 | ||
| Number of Employees Still Employed for 12 Months After Returning to Work (Female) - Hong Kong and Mainland China | people | 17 | 27 | 186 | ||
| Number of Employees Still Employed for 12 Months After Returning to Work (Female) - Singapore | people | 2 | 3 | 186 | ||
| Number of Employees Still Employed for 12 Months After Returning to Work (Male) - Hong Kong and Mainland China | people | 27 | 28 | 186 | ||
| Number of Employees Still Employed for 12 Months After Returning to Work (Male) - Singapore | people | 2 | 4 | 186 | ||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period (Female) - Hong Kong and Mainland China | people | 35 | 45 | 186 | ||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period (Female) - Singapore | people | 2 | 3 | 186 | ||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period (Male) - Hong Kong and Mainland China | people | 39 | 28 | 186 | ||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period (Male) - Singapore | people | 2 | 4 | 186 | ||
| Number of voluntary turnover - Hong Kong and Mainland China | people | 2831 | 2618 | 183 | ||
| Number of voluntary turnover - Singapore | people | 186 | 136 | 183 | ||
| Number of voluntary turnover - Sydney | people | 81 | 89 | 183 | ||
| Overall new hires rate - Hong Kong and Mainland China | 43.9% | 38.2% | 183 | |||
| Overall new hires rate - Singapore | 54.5% | 42.5% | 183 | |||
| Overall new hires rate - Sydney | 87.2% | 56.1% | 183 | |||
| Overall turnover rate - Hong Kong and Mainland China | 41.5% | 33.3% | 183 | |||
| Overall turnover rate - Singapore | 41.0% | 37.7% | 183 | |||
| Overall turnover rate - Sydney | 36.0% | 36.9% | 183 | |||
| Rate of open positions filled by internal candidates - Hong Kong and Mainland China | 7.4% | 7.8% | 183 | |||
| Rate of open positions filled by internal candidates - Singapore | 3.0% | 18.0% | 183 | |||
| Rate of open positions filled by internal candidates - Sydney | 4.1% | 51.6% | 183 | |||
| Retention Rate by Gender - Female (Hong Kong and Mainland China) | 48.6% | 60.0% | 187 | |||
| Retention Rate by Gender - Female (Singapore) | 100% | 100% | 187 | |||
| Retention Rate by Gender - Female (Sydney) | – | – | 187 | |||
| Retention Rate by Gender - Male (Hong Kong and Mainland China) | 69.2% | 100% | 187 | |||
| Retention Rate by Gender - Male (Singapore) | 100% | 100% | 187 | |||
| Retention Rate by Gender - Male (Sydney) | – | – | 187 | |||
| Total number of employee turnover - Hong Kong and Mainland China | people | 3666 | 3094 | 183 | ||
| Total number of employee turnover - Singapore | people | 201 | 197 | 183 | ||
| Total number of employee turnover - Sydney | people | 90 | 106 | 183 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022/2023 | 2022/23 | 2023/2024 | 2023/24 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|
| High-consequence work-related injury rate (per 100 employees) (Hong Kong and Mainland China) | 0.01 | 187 | |||||
| Injury rate (per 100 employees) (Hong Kong and Mainland China) | 1.85 | 1.7 | 187 | ||||
| Injury rate (per 100 employees) (Singapore) | 3.47 | 5.56 | 187 | ||||
| Injury rate (per 100 employees) (Sydney) | 1.6 | 1.39 | 187 | ||||
| Number of high-consequence work-related injuries (excluding fatalities) (Hong Kong and Mainland China) | accidents | 1 | 187 | ||||
| Number of reported accidents due to work-related injury (Hong Kong and Mainland China) | accidents | 164 | 158 | 187 | |||
| Number of reported accidents due to work-related injury (Hong Kong, contractors and subcontractors on construction sites) | accidents | 7 | 5 | 188 | |||
| Number of reported accidents due to work-related injury (Singapore) | accidents | 17 | 29 | 187 | |||
| Number of reported accidents due to work-related injury (Sydney) | accidents | 4 | 4 | 187 | |||
| Target Lost Time Injury Rate (LTIR) per 100 employees by 2030 | per 100 employees | 2.5 | 108 |
Lost days due to work injury.
| Indicator | Unit | 2022/2023 | 2022/23 | 2023/2024 | 2023/24 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Lost-time injury rate (LTIR) per 100 employees | per 100 employees | 2 | 95 | |||||
| Maintain a lost-time injury rate (LTIR) at or below 2.5 per 100 employees | per 100 employees | 2.5 | 16 | |||||
| Number of lost days (Hong Kong and Mainland China) | days | 5314 | 5437 | 187 | ||||
| Number of lost days (Singapore) | days | 40 | 42 | 187 | ||||
| Number of lost days (Sydney) | days | 829 | 2 | 187 | ||||
| Number of lost days due to work-related injuries (Hong Kong, contractors and subcontractors on construction sites) | days | 515 | 1413 | 188 | ||||
| 於2030年前，保持工傷引致損失工時比率在每100名員工2.5或以下 | 每100名員工 | 2.5 | 17 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022/2023 | 2022/23 | 2023/2024 | 2023/24 | 2025 | since 2008 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Employees to receive ESG training | of employees | 100% | 16 | |||||
| Number of contract/short-term staff trained | people | 1292 | 1781 | 188 | ||||
| Number of director level staff trained | people | 37 | 36 | 188 | ||||
| Number of employees completed Mandatory Basic Safety Training Course (Construction Work) since 2008 | employees | 8066 | 109 | |||||
| Number of entry level employees receiving regular performance reviews | people (100%) | 6084 | 6131 | 189 | ||||
| Number of entry level staff trained | people | 5455 | 5849 | 188 | ||||
| Number of female staff trained | people | 4349 | 4866 | 188 | ||||
| Number of male employees receiving regular performance reviews | people (100%) | 4717 | 4931 | 189 | ||||
| Number of male staff trained | people | 4179 | 4681 | 188 | ||||
| Number of middle level employees receiving regular performance reviews | people (100%) | 1288 | 1312 | 189 | ||||
| Number of middle level staff trained | people | 1194 | 1272 | 188 | ||||
| Number of senior level employees receiving regular performance reviews | people (100%) | 570 | 612 | 189 | ||||
| Number of senior level staff trained | people | 550 | 609 | 188 | ||||
| Number of staff trained on human rights policies or procedures | people (14.9%), people (19.1%) | 1427 | 1924 | 189 | ||||
| 於2025年前，100%員工接受環境、社會及管治相關培訓 | 員工 | 100% | 17 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022/2023 | 2022/23 | 2023/2024 | 2023/24 | 2024 | 2025 | 2030 | since 2008 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|
| Average training hours per contract/short-term employee | hour | 4.1 | 5.1 | 188 | ||||||
| Average training hours per director level employee | hour | 19.4 | 56.2 | 188 | ||||||
| Average training hours per employee on human rights policies or procedures | hour | 0.21 | 0.84 | 189 | ||||||
| Average training hours per entry level employee | hour | 14.3 | 12.3 | 188 | ||||||
| Average training hours per female employee | hour | 13.2 | 13.7 | 188 | ||||||
| Average training hours per male employee | hour | 16.5 | 16.5 | 188 | ||||||
| Average training hours per middle level employee | hour | 27.3 | 31.2 | 188 | ||||||
| Average training hours per senior level employee | hour | 21.4 | 37.7 | 188 | ||||||
| Increase in training hours from 2019 level | % | 60.3 | 95 | |||||||
| Increase total training hours from 2019 level | 50% | 100% | 16 | |||||||
| Number of colleagues completed Safety Training Course for Competent Persons of Confined Spaces Operation since 2008 | colleagues | 684 | 109 | |||||||
| Number of contract/short-term staff receiving regular performance reviews | people (100%) | 1599 | 1985 | 189 | ||||||
| Number of director level employees receiving regular performance reviews | people (100%) | 42 | 47 | 189 | ||||||
| Target increase in total employee training hours by 2025 compared to 2019 | % | 50 | 102 | |||||||
| Target increase in total employee training hours by 2030 compared to 2019 | % | 100 | 102 | |||||||
| Total training hours for contract/short-term staff | hour | 6626 | 10102 | 188 | ||||||
| Total training hours for director level staff | hour | 816 | 2644 | 188 | ||||||
| Total training hours for entry level staff | hour | 86974 | 75301 | 188 | ||||||
| Total training hours for female staff | hour | 64088 | 70577 | 188 | ||||||
| Total training hours for male staff | hour | 77689 | 81531 | 188 | ||||||
| Total training hours for middle level staff | hour | 35166 | 40978 | 188 | ||||||
| Total training hours for senior level staff | hour | 12196 | 23084 | 188 | ||||||
| Total training hours on human rights policies or procedures | hour | 2034 | 8455 | 189 | ||||||
| 於2030年前，員工服務時數較2020年增加15% | 較2020年 | 15% | 17 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022/2023 | 2023/2024 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of countries and regions represented at International Exhibition of Inventions Geneva | countries and regions | 40 | 290 | ||
| Number of suppliers in Asia (except Hong Kong, Mainland China and Taiwan) (and percentage) | 37.2%, 39.5% | 339 | 370 | 190 | |
| Number of suppliers in Europe and North America (and percentage) | 0.4%, 1.5% | 13 | 4 | 190 | |
| Number of suppliers in Hong Kong (and percentage) | 19.3%, 21.4% | 166 | 213 | 190 | |
| Number of suppliers in Mainland China and Taiwan (and percentage) | 0.3%, 1.5% | 13 | 3 | 190 | |
| Number of suppliers in Oceania (and percentage) | 37.9%, 40.0% | 325 | 398 | 190 | |
| Number of suppliers in Other Regions (and percentage) | 0.2%, 0.7% | 2 | 7 | 190 | |
| Rate of total spending on significant suppliers in Tier-1 | 58% | 51% | 190 | ||
| Significant suppliers in Tier-1 | 10 | 10 | 190 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2022/2023 | 2023/2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Approved suppliers adhering to Sustainable Procurement Policy by 2025 | approved suppliers | 100% | 14 | |||
| Approved suppliers obtaining recognised ISO/ESG/EHS standards by 2030 | approved suppliers | 50% | 14 | |||
| Number of significant suppliers assessed | 9 | 3 | 190 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Proportion of hotels and serviced apartments sourcing sustainable seafood | % | 60 | 100 | 15 | |
| Seafood purchased from sustainable sources at Group's hotels | % | 68 | 66 | ||
| Seafood served at Group's hotels from sustainable sources by 2025 | percent | 60 | 14 | ||
| Seafood served at Group's hotels from sustainable sources by 2030 | percent | 100 | 14 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022/2023 | Report Pages |
|---|---|---|---|
| Number of solutions attracted to PropXTech 2022/2023 | 3000 | 133 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2022/2023 | 2022/23 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| BOCHK Corporate Low-Carbon Environmental Leadership Awards: 3+ Years EcoPioneer Logo, 17 managed properties | managed properties | 17 | 170 | |||||
| BOCHK Corporate Low-Carbon Environmental Leadership Awards: 5+ Years EcoPioneer Logo, 8 managed properties, Perfect Green Supplies Company Limited | managed properties | 8 | 170 | |||||
| BOCHK Corporate Low-Carbon Environmental Leadership Awards: EcoChallenger Certificate | managed properties | 7 | 170 | |||||
| BOCHK Corporate Low-Carbon Environmental Leadership Awards: EcoPartner Certificate | managed properties | 44 | 170 | |||||
| ESG Awards – Certificate of Excellence: 8 managed properties | managed properties | 8 | 166 | |||||
| ESG Awards – Certificate of Merit: 4 managed properties | managed properties | 4 | 166 | |||||
| Gold Seal for Contribution to Sustainable Property: 27 managed properties | managed properties | 27 | 166 | |||||
| Hong Kong Island Best Security Services Awards 2022/2023 - awards received | awards | 24 | 168 | |||||
| IFMA Asia Pacific Awards of Excellence 2022/23 - awards received | awards | 13 | 168 | |||||
| Improve the wellbeing of 5000 less-resourced families | families | 5000 | 16 | |||||
| Kowloon East Best Security Services Awards 2022/2023 - awards received | awards | 23 | 168 | |||||
| Kowloon West Best Security Services Awards 2022 - awards received | awards | 57 | 168 | |||||
| New Territories North Region Best Security Services Awards 2022 - awards received | awards | 384 | 168 | |||||
| Number of countries represented in PropXTech 2022/2023 | 70 | 133 | ||||||
| Support 150 primary schools and enhance the school environment by providing wellness education | primary schools | 150 | 16 | |||||
| Umbrella Bags Reduction Accreditation Programme: Best Promotion Award | managed properties | 4 | 170 | |||||
| Umbrella Bags Reduction Accreditation Programme: Bronze Award | managed property | 1 | 170 | |||||
| Umbrella Bags Reduction Accreditation Programme: Diamond Award | managed properties | 48 | 170 | |||||
| Umbrella Bags Reduction Accreditation Programme: Gold Award | managed property | 1 | 170 | |||||
| Umbrella Bags Reduction Accreditation Programme: Reduction Award | managed properties | 27 | 170 | |||||
| Umbrella Bags Reduction Accreditation Programme: Silver Award | managed properties | 2 | 170 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Increase volunteer service hours from 2020 level | 15% | 16 | |||
| Number of visitors to Science Fair Exhibition and Award Presentation Ceremony | persons | 30000 | 290 | ||
| Number of volunteers receiving awards under Volunteer Incentive Scheme | volunteers | 46 | 161 | ||
| Total volunteer hours achieved by company employees (Hong Kong Volunteer Award) | hours | more than 30000 | 161 |
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 | 2021/2022 | 2022/2023 | 2023/2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 3735.5 | 3541.5 | 3864.8 |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 117284.1 | 127120.9 | 126972.3 |
| Scope 1 GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.009 | 0.015 | 0.022 |
| Scope 2 GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.009 | 0.015 | 0.022 |
| Scope 3 GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.009 | 0.015 | 0.022 |
| Total GHG Emissions | tonnes CO2e | 123119.5 | 132064.3 | 132205.7 |
| Total GHG Emissions Intensity (By Employee) | tonnes CO2e/employee | 0.53 | 0.73 | 0.71 |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 2099.9 | 1401.9 | 1368.6 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 |
|---|---|---|---|---|
| Total Hazardous Waste | kg | 2265.1 | 2021.9 | 2378 |
| Total Hazardous Waste Intensity (By Area) | kg/m² | 0.00042 | 0.00037 | 0.00045 |
| Total Hazardous Waste Intensity (By Employee) | kg/employee | 0.09 | 0.09 | 0.06 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 |
|---|---|---|---|---|
| Glass Waste | tonnes | 125.2 | 195 | 56.3 |
| Non-Hazardous Waste (Construction Waste) | tonnes | 25511.3 | 2391 | 1011.8 |
| Non-Hazardous Waste (Office Waste) | tonnes | 12.5 | 18.7 | 15.6 |
| Non-Hazardous Waste Disposed | tonnes | 152576 | 102677.6 | 141011.1 |
| Non-Hazardous Waste Recycled | tonnes | 9371.3 | 2322.7 | 2062.9 |
| Paper Waste | tonnes | 1228.7 | 1313.5 | 1590.8 |
| Plastic Waste | tonnes | 2.7 | 78.9 | 76.5 |
| Total Non-Hazardous Waste Intensity (By Area) | tonnes/m² | 0.17 | 0.033 | 0.114 |
| Total Non-Hazardous Waste Intensity (By Employee) | tonnes/employee | 0.01 | 0.02 | 0.02 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2030 |
|---|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | % | -60.34 | |
| Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2019 | % | 46.2 |
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 | 2022 | 2024 |
|---|---|---|---|
| Plastic Waste Reduction Percentage Compared to Last Year | percent | 50 | 77.1 |
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 | 2021/2022 | 2022/2023 | 2023/2024 | 2030 |
|---|---|---|---|---|---|
| Diesel Fuel Consumption | L | 64514 | 13017 | 5396 | |
| Natural Gas Consumption | m³ | 562402 | 1302803 | 1423657 | |
| Percentage of Renewable Energy Consumption | % | 0.06 | 0.06 | 0.42 | 53.1 |
| Purchased Electricity | kWh | 275329545 | 286411321 | 287847270 | |
| Purchased Electricity Intensity (By Area) | kWh/m² | 48.1 | 47 | 49.6 | |
| Purchased Electricity Intensity (By Employee) | kWh/employee | 1369.1 | 1752.9 | 1595.5 | |
| Purchased Electricity Intensity (By Unit Product) | kWh/visitor night | 130.2 | 113.2 | 87.5 | |
| Total Energy Consumption | kWh | 279250400 | 294855207 | 297481744 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 |
|---|---|---|---|---|
| Water Consumption | m³ | 1480570 | 1777985 | 1659120 |
| Water Consumption Intensity (By Revenue) | None | None | None | |
| Water Withdrawal Intensity | None | None | None |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2030 |
|---|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | -60.34 | |
| Target Electricity Usage Reduction Percentage by 2030 Compared to 2021 | percent | 30 |
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 | 2030 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | percent | 20 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 |
|---|---|---|---|---|
| Packaging Materials Consumed | tonnes | 28.8 | 89 | 14.1 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022/23 | 2023/24 | 2024 |
|---|---|---|---|---|
| Gender pay ratio (female to male) | 1.26 | |||
| Number of Contractors | people | 1599 | 1985 | |
| Number of Employees Aged 30-50 | people | 3517 | 3460 | |
| Number of Employees Aged Above 50 | people | 5140 | 5588 | |
| Number of Employees Aged Below 30 | people | 926 | 1039 | |
| Number of Employees in Hong Kong and Mainland China | people | 8843 | 9278 | |
| Number of Employees in Singapore | people | 490 | 522 | |
| Number of Employees in Sydney | people | 250 | 287 | |
| Number of Female Employees | people | 4526 | 4781 | |
| Number of Full-time Employees | people | 7755 | 8342 | |
| Number of Full-time Employees (Female) | people | 3635 | 3694 | |
| Number of Full-time Employees (Male) | people | 3650 | 3633 | |
| Number of General Employees | people | 6967 | 7354 | |
| Number of Male Employees | people | 4317 | 4497 | |
| Number of Middle Management Employees | people | 1288 | 1312 | |
| Number of Middle Management Employees (Female) | people | 624 | 614 | |
| Number of Middle Management Employees (Male) | people | 664 | 698 | |
| Number of New Employees | people | 4319 | 3930 | |
| Number of New Employees (Above 50) | people | 1974 | 1961 | |
| Number of New Employees (Aged 30-50) | people | 1589 | 1143 | |
| Number of New Employees (Aged Below 30) | people | 806 | 826 | |
| Number of New Employees (Female) | people | 2397 | 2108 | |
| Number of New Employees (Male) | people | 1972 | 1822 | |
| Number of Part-time Employees | people | 1592 | 2045 | |
| Number of Part-time Employees (Female) | people | 891 | 1087 | |
| Number of Part-time Employees (Male) | people | 667 | 864 | |
| Number of Senior Management Employees | people | 570 | 612 | |
| Number of Senior Management Employees (Female) | people | 232 | 218 | |
| Number of Senior Management Employees (Male) | people | 338 | 394 | |
| Number of Temporary Workers | people | 1742 | 2063 | |
| Number of Temporary Workers (Female) | people | 965 | 1139 | |
| Number of Temporary Workers (Male) | people | 777 | 924 | |
| Number of Total Employees | people | 8825 | 9278 | |
| Percentage of Female Employees | % | 39.11 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022/2023 | 2022/23 | 2023/2024 | 2023/24 |
|---|---|---|---|---|---|
| Employees still Employed 12 Months after Return to Work | people | 48 | 62 | ||
| Employees still Employed 12 Months after Return to Work (Female) | people | 19 | 30 | ||
| Employees still Employed 12 Months after Return to Work (Male) | people | 29 | 32 | ||
| Turnover Rate of Employees Aged 30-50 | % | 38.4 | 30.1 | ||
| Turnover Rate of Employees Aged Above 50 | % | 40.1 | 31.4 | ||
| Turnover Rate of Employees Aged Below 30 | % | 58.7 | 57.9 | ||
| Turnover Rate of Employees in Hong Kong and Mainland China | % | 41.5 | 33.3 | ||
| Turnover Rate of Employees in Singapore | % | 41 | 37.7 | ||
| Turnover Rate of Employees in Sydney | % | 36 | 36.9 | ||
| Turnover Rate of Female Employees | % | 43.2 | 34.9 | ||
| Turnover Rate of Male Employees | % | 39.4 | 32.4 | ||
| Turnover Rate of Total Employees | % | 41.5 | 33.3 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022/2023 | 2022/23 | 2023/2024 | 2023/24 | 2024 | 2030 |
|---|---|---|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 5314 | 5437 | ||||
| Lost Days Due to Work-related Injuries (Overseas) | days | 829 | 2 | ||||
| Lost Working Days Due to Work-related Injuries (Contractor) | days | 515 | 1413 | ||||
| Rate of Work-related Injuries | per 100 employees | 2 | 2.5 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of People Receiving Training on Work Safety | participants |
| Number of Safety knowledge lectures | sessions |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022/23 | 2023/24 | 2025 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | ||
| Percentage of Trained Contract Employees | people | 1292 | 1781 | |
| Percentage of Trained Female Employees | people | 4349 | 4866 | |
| Percentage of Trained General Employees | people | 5455 | 5849 | |
| Percentage of Trained Male Employees | people | 4179 | 4681 | |
| Percentage of Trained Middle Management | people | 1194 | 1272 | |
| Percentage of Trained Senior Management | people | 550 | 609 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022/2023 | 2022/23 | 2023/24 |
|---|---|---|---|---|
| Average Training Hours (Contract Employees) | hour | 4.1 | 5.1 | |
| Average Training Hours (Director and Above) | hour | 19.4 | 56.2 | |
| Average Training Hours (Female) | hour | 13.2 | 13.7 | |
| Average Training Hours (General Employees) | hour | 14.3 | 12.3 | |
| Average Training Hours (Male) | hour | 16.5 | 16.5 | |
| Average Training Hours (Middle Management) | hour | 27.3 | 31.2 | |
| Average Training Hours (Senior Management) | hour | 21.4 | 37.7 | |
| Total Training Hours | hours | 169880 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022/2023 | 2023/2024 |
|---|---|---|---|
| Number of Suppliers in Asia (Excluding China) | suppliers | 339 | 370 |
| Number of Suppliers in Europe | suppliers | 13 | 4 |
| Number of Suppliers in Hong Kong | suppliers | 166 | 213 |
| Number of Suppliers in Mainland China | suppliers | 13 | 3 |
| Number of Suppliers in Overseas | suppliers | 339 | 370 |
| Proportion of Spending on Local Suppliers | % | 58 | 51 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Standard Indicator | Unit |
|---|---|
| Number of Confirmed Incidents of Corruption |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Volunteers among Employees | volunteers | 46 |
| Total Volunteer Service Hours | hours | 30000 |