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 | Report Pages |
|---|---|---|---|---|---|---|
| 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 | |
| Reduction in greenhouse gas emissions in 2030 compared to 2012 average | reduction | 30% | 15 |
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 |
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 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Increase in recycling rate of construction waste by 2030 | 50% | 15 | ||||
| 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 | |
| Percentage of commercial waste diverted from landfill by 2030 | 50% | 14 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2030 | Report Pages |
|---|---|---|---|---|
| Absolute Scope 1 and 2 GHG emissions reduction target (from FY2019 baseline) | percent | 46.2 | 240 | |
| GHG emission reduction from 2012 baseline | % | 60.34 | -30 | 65 |
| Greenhouse gas emission reduction from 2012 baseline by 2030 | 30% | 14 | ||
| Reduction in Scope 1 and 2 GHG emissions per square metre from 2018 baseline by 2030 | 53.1% | 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 per square foot (from FY2022 baseline) | percent | 51.6 | 240 | |
| Scope 3 GHG emissions reduction target from leased assets per square foot (from FY2022 baseline) | percent | 51.6 | 240 |
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 | % | 50 | 66 | |||
| Eliminate all single-use plastic items across core operations | % | -100 | 66 | |||
| Elimination of all single-use plastic items by 2035 across core operations | 100% | 14 | ||||
| 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 | 50% | 14 | ||||
| Single-use plastic consumption reduction from 2017 baseline (all business lines) | % | -50 | 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 | 2022/2023 | 2023 | 2023/2024 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| 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 | |||
| Number of EV chargers installed at managed properties | chargers | 1800 | 76 | |||||
| Number of EV chargers installed in development portfolio | chargers | 650 | 76 | |||||
| Number of photovoltaic panels installed at properties under Group's management in Hong Kong as of 30 June 2024 | panels | 4000 | 77 | |||||
| Reduction in electricity consumption per square meter in 2030 compared to 2018 average | reduction | 30% | 15 | |||||
| Renewable energy generated from 2012 level | kWh | >3788000 | 65 | |||||
| Renewable energy generation by 2023 | kWh | 6000000 | 15 | |||||
| Renewable energy generation from 2012 level | kWh | 6000000 | 65 | |||||
| Target number of EV charging stations by end of year | charging stations | 1900 | 76 |
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 |
|---|---|---|---|---|---|---|
| Reduction in water consumption per square meter in 2030 compared to 2018 average | reduction | 20% | 15 | |||
| 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 |
|---|---|---|---|---|---|
| Cumulative renewable energy generation above 2012 level (target for 2030) | kWh | 6000000 | 77 | ||
| Electricity consumption reduction from 2012 baseline | % | 60.34 | -30 | 65 | |
| Electricity consumption reduction from 2012 baseline by 2030 | 30% | 14 | |||
| Electricity intensity reduction from 2018 baseline | % | -30 | 66 | ||
| Electricity intensity reduction from 2018 baseline by 2030 | 30% | 14 | |||
| Group's goal for renewable energy generation increase from 2012 level by 2030 | kWh | 8000000 | 67 | ||
| Reduction in energy consumption per square meter in 2030 compared to 2012 average | reduction | 30% | 15 | ||
| Renewable energy generation from 2012 level by 2030 | kWh | 6000000 | 14 | ||
| Renewable energy generation target by 2030 compared to 2012 | kWh | 8000000 | 15 | ||
| Water consumption intensity reduction from 2018 baseline | % | 23.82 | -20 | 66, 84 | |
| Water consumption intensity reduction from 2018 baseline by 2030 | 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 | % | 20 | 84 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Reduction in single-use plastic consumption in office operations by 2022 compared to 2017 average | reduction | 50% | 15 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Number of managed properties that implemented the Charter on External Lighting | properties | 98 | 76 | ||
| Number of managed properties that obtained Energywi$e certification | properties | 174 | 76 | ||
| Number of managed properties with EV chargers installed | properties | 21 | 76 | ||
| Number of managed properties with non-essential lights turned off for Earth Hour | properties | 175 | 76 | ||
| Obtain BEAM Plus Gold or above certification at 100% of wholly-owned new development projects by 2030 where applicable | of wholly-owned new development projects | 100% | 16 | ||
| 於2025年前，新增100%全新建築項目取得綠建環評銀級或以上認證 | 100% | 17 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2021/2022 | 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 - Asian (Sydney) | people | 91 | 43 | 185 | ||||||
| Diversity - Australian (Sydney) | people | 69 | 99 | 185 | ||||||
| Diversity - European (Sydney) | people | 21 | 32 | 185 | ||||||
| Diversity - North American (Sydney) | people | 1 | 1 | 185 | ||||||
| Diversity - Others (Sydney) | people | 66 | 111 | 185 | ||||||
| Diversity - South African (Sydney) | people | 2 | 1 | 185 | ||||||
| Economic Value Retained (Difference between direct economic value generated and economic value distributed) | HK$ Million | 7649 | 5430 | 4255 | 173 | |||||
| Employee wages and benefits (Economic Value Distributed) | HK$ Million | 1573 | 1704 | 1794 | 173 | |||||
| Employees - Female (Hong Kong and Mainland China) | people | 4526 | 4781 | 180 | ||||||
| Employees - Female (Singapore) | people | 211 | 223 | 180 | ||||||
| Employees - Female (Sydney) | people | 129 | 152 | 180 | ||||||
| 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 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 - Male (Hong Kong and Mainland China) | people | 4317 | 4497 | 180 | ||||||
| Employees - Male (Singapore) | people | 279 | 299 | 180 | ||||||
| Employees - Male (Sydney) | people | 121 | 135 | 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 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 - Permanent (Hong Kong and Mainland China) | people | 7101 | 7215 | 180 | ||||||
| Employees - Permanent (Singapore) | people | 458 | 488 | 180 | ||||||
| Employees - Permanent (Sydney) | people | 250 | 287 | 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 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 - Temporary (Hong Kong and Mainland China) | people | 1742 | 2063 | 180 | ||||||
| Employees - Temporary (Singapore) | people | 32 | 34 | 180 | ||||||
| Employees - Temporary (Sydney) | people | - | 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 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 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) | 1.126 | 95 | ||||||||
| Maintain gender pay ratio at 1:1 by 2030 | 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 | (45.2%) | 1589 | 183 | |||||||
| New hires by age group (30-50 years old) - 2023/2024 | (33.0%) | 1143 | 183 | |||||||
| New hires by age group (over 50 years old) - 2022/2023 | (38.4%) | 1974 | 183 | |||||||
| New hires by age group (over 50 years old) - 2023/2024 | (35.1%) | 1961 | 183 | |||||||
| New hires by age group (under 30 years old) - 2022/2023 | (87.0%) | 806 | 183 | |||||||
| New hires by age group (under 30 years old) - 2023/2024 | (79.5%) | 826 | 183 | |||||||
| New hires by gender (female) - 2022/2023 | (49.3%) | 2397 | 183 | |||||||
| New hires by gender (female) - 2023/2024 | (40.9%) | 2108 | 183 | |||||||
| New hires by gender (male) - 2022/2023 | (41.8%) | 1972 | 183 | |||||||
| New hires by gender (male) - 2023/2024 | (36.9%) | 1822 | 183 | |||||||
| Number of Employees Entitled to Paternity or Maternity Leave - Female (Hong Kong and Mainland China) | people | 3446 | 3602 | 185 | ||||||
| Number of Employees Entitled to Paternity or Maternity Leave - Female (Singapore) | people | 233 | 207 | 185 | ||||||
| Number of Employees Entitled to Paternity or Maternity Leave - Female (Sydney) | people | 179 | 151 | 185 | ||||||
| Number of Employees Entitled to Paternity or Maternity Leave - Male (Hong Kong and Mainland China) | people | 3321 | 3443 | 185 | ||||||
| Number of Employees Entitled to Paternity or Maternity Leave - Male (Singapore) | people | 293 | 288 | 185 | ||||||
| Number of Employees Entitled to Paternity or Maternity Leave - Male (Sydney) | 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 - Female (Hong Kong and Mainland China) | people | 47 | 36 | 185 | ||||||
| Number of Employees Taking Paternity or Maternity Leave - Female (Singapore) | people | 2 | 3 | 185 | ||||||
| Number of Employees Taking Paternity or Maternity Leave - Female (Sydney) | people | 2 | 2 | 185 | ||||||
| Number of Employees Taking Paternity or Maternity Leave - Male (Hong Kong and Mainland China) | people | 25 | 36 | 185 | ||||||
| Number of Employees Taking Paternity or Maternity Leave - Male (Singapore) | people | 2 | 4 | 185 | ||||||
| Number of employees (Hong Kong Volunteer Award) | employees | 1000 | 161 | |||||||
| Number of female employees receiving regular performance reviews | people (100%) | 4866 | 5156 | 189 | ||||||
| Number of working days (Hong Kong, contractors and subcontractors on construction sites) | days | 111251 | 55399 | 188 | ||||||
| Operating cost (Economic Value Distributed) | HK$ Million | 399 | 386 | 348 | 173 | |||||
| Percentage of females in management positions | % | 39.11 | 95 | |||||||
| 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，性別薪酬比例保持在1:1 | 1:1 | 17 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022/23 | 2023/24 | Report Pages |
|---|---|---|---|---|
| Number of Employees Still Employed for 12 Months After Returning to Work (After Paternity or Maternity Leave), Female, Hong Kong and Mainland China | people | 17 | 27 | 186 |
| Number of Employees Still Employed for 12 Months After Returning to Work (After Paternity or Maternity Leave), Female, Singapore | people | 2 | 3 | 186 |
| Number of Employees Still Employed for 12 Months After Returning to Work (After Paternity or Maternity Leave), Male, Hong Kong and Mainland China | people | 27 | 28 | 186 |
| Number of Employees Still Employed for 12 Months After Returning to Work (After Paternity or Maternity Leave), 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 | 2023/2024 | 2023/24 | Report Pages |
|---|---|---|---|---|---|---|---|
| Accident rate (equivalent to defined lost-time injury rate) of construction industry in Hong Kong | per 1000 employees | 27.6 | 191 | ||||
| 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 |
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 by 2030 | 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 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022/23 | 2023/24 | Report Pages |
|---|---|---|---|---|
| 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 |
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 | Report Pages |
|---|---|---|---|---|---|---|---|
| 100% of employees to receive ESG training by 2025 | 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 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 | 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 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Average training hours per contract/short-term staff | 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 | ||||||
| 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% | 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 | 40 | 290 | |||
| Number of significant suppliers in Tier-1 | 10 | 10 | 190 | ||
| Number of suppliers in Asia except Hong Kong, Mainland China and Taiwan (and rate) | (37.2%), (39.5%) | 339 | 370 | 190 | |
| Number of suppliers in Europe and North America (and rate) | (0.4%), (1.5%) | 13 | 4 | 190 | |
| Number of suppliers in Hong Kong (and rate) | (19.3%), (21.4%) | 166 | 213 | 190 | |
| Number of suppliers in Mainland China and Taiwan (and rate) | (0.3%), (1.5%) | 13 | 3 | 190 | |
| Number of suppliers in Oceania (and rate) | (37.9%), (40.0%) | 325 | 398 | 190 | |
| Number of suppliers in Other Regions (and rate) | (0.2%), (0.7%) | 2 | 7 | 190 | |
| Rate of total spending on significant suppliers in Tier-1 | 58% | 51% | 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 |
|---|---|---|---|---|---|---|
| Number of significant suppliers assessed | 9 | 3 | 190 | |||
| Percentage of approved suppliers adhering to Sustainable Procurement Policy by 2025 | 100% | 14 | ||||
| Percentage of approved suppliers obtaining recognised ISO/ESG/EHS standards by 2030 | 50% | 14 | ||||
| Percentage of suppliers certified by 2025 (Sustainable Procurement Policy) | 100% | 15 | ||||
| Percentage of suppliers certified with ISO/ESG/EHS by 2030 | 50% | 15 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2025 | 2030 | Report Pages |
|---|---|---|---|---|
| Percentage of seafood procured from sustainable sources by 2025 | 60% | 15 | ||
| Percentage of seafood procured from sustainable sources by 2030 | 100% | 15 | ||
| Percentage of seafood purchased from sustainable sources at Group's hotels by 2025 | 60% | 14 | ||
| Percentage of seafood served at Group's hotels from sustainable sources by 2030 | 100% | 14 | ||
| Seafood from sustainable sources at Group's hotels | % | 60 | 100 | 66 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 | Report Pages |
|---|---|---|---|---|---|
| Share of results of associates and joint ventures (Direct Economic Value Generated) | HK$ Million | 424 | 1288 | 1041 | 173 |
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.
| Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 | Report Pages |
|---|---|---|---|---|---|
| Payment to providers of capital (Economic Value Distributed) | HK$ Million | 6277 | 4492 | 4837 | 173 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| By 2025, improve the wellbeing of 5000 less-resourced families | families | 5000 | 16 |
| By 2025, support 150 primary schools and enhance the school environment by providing wellness education | primary schools | 150 | 16 |
| 於2025年前，透過提供心靈健康教育，支援150間小學改善學校環境 | 間小學 | 150 | 17 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2021/2022 | 2022/2023 | 2023 | 2023/2024 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| By 2030, increase volunteer service hours by 15% from the 2020 level | increase from 2020 level | 15% | 16 | |||||
| Community investment (i.e., charitable donations and sponsorship) (Economic Value Distributed) | HK$ Million | 18 | 17 | 12 | 173 | |||
| Finance income (Direct Economic Value Generated) | HK$ Million | 337 | 1391 | 2340 | 173 | |||
| Hong Kong profits tax paid (Economic Value Distributed) | HK$ Million | 338 | 2483 | 825 | 173 | |||
| Number of visitors to Science Fair Exhibition and Award Presentation Ceremony | 30000 | 290 | ||||||
| Number of volunteers receiving Volunteer Incentive Scheme awards | 46 | 161 | ||||||
| Revenue (Direct Economic Value Generated) | HK$ Million | 15554 | 11881 | 8765 | 173 | |||
| Taxation in other jurisdictions paid (Economic Value Distributed) | HK$ Million | 61 | 48 | 75 | 173 | |||
| Total Direct Economic Value Generated | HK$ Million | 16315 | 14560 | 12146 | 173 | |||
| Total Economic Value Distributed | HK$ Million | 8666 | 9130 | 7891 | 173 | |||
| Total volunteer hours (Hong Kong Volunteer Award) | hours | 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 |
|---|---|---|---|---|
| Total GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.009 | 0.015 | 0.022 |
| Total GHG Emissions Intensity (By Employee) | tonnes CO2e/employee | 0.53 | 0.73 | 0.71 |
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 |
|---|---|---|---|---|
| Hazardous Waste (Office) | kg | 87 | 82.1 | 52.9 |
| Hazardous Waste Disposed | kg | 2265.1 | 2021.9 | 2378 |
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 | 2030 |
|---|---|---|---|---|---|
| Diversion Rate of Non-Hazardous Waste | % | 50 | |||
| Non-Hazardous Waste (Construction Waste) | tonnes | 25511.3 | 2391 | 1011.8 | |
| Non-Hazardous Waste (Domestic Waste) | tonnes | 871.9 | 4404.6 | 4167.6 | |
| Non-Hazardous Waste (Office Waste) | tonnes | 12.5 | 18.7 | 15.6 | |
| Non-Hazardous Waste Disposed | tonnes | 75288 | 51338.6 | 70505.5 | |
| Recycling Rate of Non-Hazardous Waste | % | 50 | |||
| Total Non-Hazardous Waste Intensity (By Area) | tonnes/m² | 0.17 | 0.033 | 0.01 | |
| Total Non-Hazardous Waste Intensity (By Employee) | tonnes/employee | 0.01 | 0.02 | 0.02 | |
| Total Non-Hazardous Waste Intensity (By Unit Product) | tonnes/visitor night | 0.01 | 0.01 | 0.01 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2018 | percent | 53.1 |
| Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2019 | percent | 46.2 |
| Target Scope 3 Emissions Reduction Percentage Compared to Last Year | percent | 51.6 |
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 | 2035 |
|---|---|---|---|---|
| Plastic Waste Reduction Percentage Compared to Last Year | % | -50 | 77.1 | -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 | 2021/2022 | 2022/2023 | 2023 | 2023/2024 | 2024 | 2030 |
|---|---|---|---|---|---|---|---|
| Grid Electricity Consumption | kWh | 275329545 | 286411321 | 287847270 | |||
| Percentage of Renewable Energy Consumption | % | 0.42 | 0.42 | 0.42 | |||
| Purchased Electricity | kWh | 275329545 | 286411321 | 287847270 | |||
| Renewable Energy Consumption | kWh | 6000000 | 3788000 | 6000000 | |||
| Total Energy Consumption | GJ | 1070933 | 1070933 | 1070933 | |||
| Total Indirect Energy Consumption | kWh | 275329545 | 286411321 | 287847270 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021/2022 | 2022/2023 | 2023/2024 |
|---|---|---|---|---|
| Total Water Withdrawal | thousand m³ | |||
| Water Withdrawal Intensity | m³/visitor night | 0.33 | 1.2 | 2.63 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 60.34 |
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 | % | 20 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Packaging Material Consumption (Plastic) | percent reduction compared to 2017 average | 50 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022/23 | 2022/24 |
|---|---|---|---|
| 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 | 7101 | 7215 |
| Number of Employees in Singapore | people | 458 | 488 |
| Number of Employees in Sydney | people | 250 | 287 |
| Number of Female Employees | people | 4526 | 4781 |
| Number of Full-time Employees | people | 5743 | 7042 |
| Number of Male Employees | people | 4317 | 4497 |
| Number of New Employees | people | 4369 | 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 | 1927 | 1245 |
| Number of Temporary Workers | people | 1742 | 2063 |
| Number of Total Employees | people | 7101 | 7215 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022/23 | 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 |
| Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 51.4 | 60 |
| Percentage of Employees still Employed 12 Months after Return to Work (Male) | % | 69.2 | 100 |
| 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 |
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 (Hong Kong) | days | 515 | 1413 | ||||
| Lost Days Due to Work-related Injuries (Overseas) | days | 869 | 44 | ||||
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | per 100 employees | 2 | 2.5 |
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 | percent | 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 | 2023/2024 | 2024 | 2025 | 2030 |
|---|---|---|---|---|---|---|
| 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 | |||
| Average Training Hours per Employee | % | 0.21 | 0.84 | 60.3 | 50 | 100 |
| Total Training Hours | hour | 12196 | 23084 | |||
| Training Hours of ESG | hour | 2034 | 8455 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022/2023 | 2023/2024 |
|---|---|---|---|
| Number of Suppliers in Asia (Excluding China) | 339 | 370 | |
| Number of Suppliers in Australia | 325 | 398 | |
| Number of Suppliers in Europe | 13 | 4 | |
| Number of Suppliers in Hong Kong | 166 | 213 | |
| Number of Suppliers in Mainland China | 13 | 3 | |
| Number of Total Suppliers | 858 | 995 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022/2023 | 2023/2024 |
|---|---|---|---|
| Number of Suppliers Signing Social Responsibility Code | 9 | 3 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2021/2022 | 2022/2023 | 2023 | 2023/2024 |
|---|---|---|---|---|---|
| Total Social Investment | HK$ Million | 18 | 17 | 12 | |
| Total Volunteer Service Hours | hours | 30000 |