Sustainability Report 2021
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 | 2018/2019 | 2019/2020 | 2020/2021 | 2021 | Report Pages |
|---|---|---|---|---|---|---|
| Carbon emissions reduced through plastic bottle recycling initiative | kg CO2 | 170000 | 58 | |||
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 605.9 | 4045.1 | 2906.5 | 139 | |
| Direct GHG Emissions (Scope 1) - Construction Sites | tonnes CO2e | 516.7 | 1885.8 | 280.4 | 139 | |
| Direct GHG Emissions (Scope 1) - Hotels | tonnes CO2e | 1430.9 | 1442.4 | 139 | ||
| Direct GHG Emissions (Scope 1) - Property Management | tonnes CO2e | 89.2 | 728.4 | 1183.7 | 139 | |
| GHG Emissions Intensity - Construction Sites | tonnes CO2e/m2 | 0.001 | 0.021 | 0.007 | 139 | |
| GHG Emissions Intensity - Head Office | tonnes CO2e/employee | 0.74 | 0.91 | 0.68 | 139 | |
| GHG Emissions Intensity - Hotels | tonnes CO2e/visitor night | 0.043 | 0.062 | 0.139 | 139 | |
| GHG Emissions Intensity - Property Management | tonnes CO2e/m2 | 0.087 | 0.074 | 0.062 | 139 | |
| Indirect GHG Emissions (Scope 2) | tonnes CO2e | 98381.2 | 91947.4 | 96227.2 | 139 | |
| Indirect GHG Emissions (Scope 2) - Construction Sites | tonnes CO2e | 252.8 | 1480.6 | 1547.5 | 139 | |
| Indirect GHG Emissions (Scope 2) - Head Office | tonnes CO2e | 565 | 760.8 | 670.2 | 139 | |
| Indirect GHG Emissions (Scope 2) - Hotels | tonnes CO2e | 10521.1 | 13762.9 | 10071 | 139 | |
| Indirect GHG Emissions (Scope 2) - Property Management | tonnes CO2e | 87042.3 | 75943.1 | 83938.6 | 139 | |
| Other Indirect GHG Emissions (Scope 3) | tonnes CO2e | 384.3 | 551.8 | 348.1 | 139 | |
| Other Indirect GHG Emissions (Scope 3) - Construction Sites | tonnes CO2e | 11.4 | 65.6 | 39.8 | 139 | |
| Other Indirect GHG Emissions (Scope 3) - Head Office | tonnes CO2e | 99.2 | 67 | 0.4 | 139 | |
| Other Indirect GHG Emissions (Scope 3) - Hotels | tonnes CO2e | 78.1 | 158.9 | 106.5 | 139 | |
| Other Indirect GHG Emissions (Scope 3) - Property Management | tonnes CO2e | 195.6 | 260.3 | 201.4 | 139 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 | Report Pages |
|---|---|---|---|---|---|
| Hazardous Waste Disposal - Head Office | kg | 473 | 56.1 | 81.3 | 142 |
| Hazardous Waste Disposal - Property Management | kg | 862.2 | 805.4 | 1051.6 | 142 |
| Hazardous Waste Disposal - Sino Land (total) | kg | 1335.2 | 861.5 | 1132.9 | 142 |
| Hazardous Waste Intensity - Head Office (kg/employee) | kg/employee | 0.47 | 0.06 | 0.08 | 142 |
| Hazardous Waste Intensity - Property Management (kg/m2) | kg/m2 | 0.001 | 0.001 | 0.001 | 142 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 | Report Pages |
|---|---|---|---|---|---|
| Materials Recycled - Aluminium Cans | tonnes | 0.8 | 1.1 | 1.4 | 142 |
| Materials Recycled - Construction Waste | tonnes | 269491.9 | 16140.2 | 25602.7 | 142 |
| Materials Recycled - Food Waste | tonnes | 153 | 137 | 66.2 | 142 |
| Materials Recycled - Glass Bottles | tonnes | 32.2 | 14.4 | 32.4 | 142 |
| Materials Recycled - Grease Trap Waste | tonnes | 10510 | 10922.2 | 7811.8 | 142 |
| Materials Recycled - Metals | tonnes | 1773.4 | 1870.1 | 1583.1 | 142 |
| Materials Recycled - Paper | tonnes | 2848.6 | 2215.9 | 1349.6 | 142 |
| Materials Recycled - Plastic | tonnes | 24.6 | 10 | 0.9 | 142 |
| Materials Recycled - Used Cooking Oil | tonnes | 9 | 11 | 6.3 | 142 |
| NON-HAZARDOUS WASTE DISPOSAL (Construction Sites) | tonnes | 1726.4 | 35309.7 | 10605.1 | 141 |
| NON-HAZARDOUS WASTE DISPOSAL (Head Office) | tonnes | 25.9 | 21.5 | 18.3 | 141 |
| NON-HAZARDOUS WASTE DISPOSAL (Hotels) | tonnes | 2648 | 1273.7 | 802.8 | 141 |
| NON-HAZARDOUS WASTE DISPOSAL (Sino Land) | tonnes | 4400.3 | 36604.9 | 11426.2 | 141 |
| NON-HAZARDOUS WASTE INTENSITY (Construction Sites) | tonnes/m² | 0.002 | 0.24 | 0.067 | 141 |
| NON-HAZARDOUS WASTE INTENSITY (Head Office) | tonnes/employee | 0.03 | 0.02 | 0.02 | 141 |
| NON-HAZARDOUS WASTE INTENSITY (Hotels) | tonnes/visitor night | 0.01 | 0.01 | 0.01 | 141 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021-06-30 | 2030 | Report Pages |
|---|---|---|---|---|
| GHG emission reduction target (reduction from 2012 baseline by 2030) | 30% | 157 | ||
| GHG emissions avoided by installed photovoltaic panels | trees planted equivalent | 38560 | 53 | |
| GHG emissions reduction compared to 2012 baseline | % | 26.94 | 48 | |
| GHG emissions reduction target compared to 2012 baseline by 2030 | % | 30 | 48 |
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 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|
| Plastic bags eliminated at The Fullerton Hotel Singapore and The Fullerton Bay Hotel Singapore | plastic bags | 21000 | 59 | |
| Plastic bottles recycled through Reverse Vending Machines at managed properties in Hong Kong | plastic bottles | 711000 | 58 | |
| Plastic straws eliminated at The Fullerton Hotel Singapore and The Fullerton Bay Hotel Singapore | plastic straws | 370000 | 59 | |
| Plastic water bottles eliminated at The Fullerton Hotel Singapore and The Fullerton Bay Hotel Singapore | plastic water bottles | 277000 | 59 | |
| Total waste collected during World Oceans Day 2021 clean-up at Tai Long Wan and Tai O on Lantau Island | kg | 130 | 62 |
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 | 2018/2019 | 2019/2020 | 2020/2021 | 2021-06-30 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|
| Electricity Consumption - Construction Sites (kWh) | kWh | 495765 | 2115079 | 2210674 | 140 | ||
| Electricity Consumption - Head Office (kWh) | kWh | 1107880 | 1086854 | 957448 | 140 | ||
| Electricity Consumption - Hotels (kWh) | kWh | 20133377 | 25905025 | 20558027 | 140 | ||
| Electricity Consumption - Property Management (kWh) | kWh | 114007952 | 108490079 | 119912282 | 140 | ||
| Electricity Consumption - Sino Land (kWh) | kWh | 135744974 | 137597037 | 143638431 | 140 | ||
| Electricity Intensity - Construction Sites (kWh/m²) | kWh/m² | 0.6 | 12.9 | 14 | 140 | ||
| Electricity Intensity - Head Office (kWh/employee) | kWh/employee | 1228.2 | 1191.7 | 964.2 | 140 | ||
| Electricity Intensity - Hotels (kWh/visitor night) | kWh/visitor night | 82.2 | 105.2 | 246.7 | 140 | ||
| Electricity Intensity - Property Management (kWh/m²) | kWh/m² | 113.1 | 104.3 | 86.9 | 140 | ||
| Fuel Consumption - Construction Sites – Ultra low sulphur diesel (L) | L | 197469 | 720688 | 107152 | 140 | ||
| Fuel Consumption - Hotels – Gas (m³) | m³ | 2511487 | 861710 | 717295 | 140 | ||
| Fuel Consumption - Property Management – Ultra low sulphur diesel (L) | L | 2290 | 2322 | 5091 | 140 | ||
| Fuel Intensity - Construction Sites – Ultra low sulphur diesel (L/m²) | L/m² | 0.3 | 4.4 | 0.7 | 140 | ||
| Fuel Intensity - Hotels – Gas (m³/visitor night) | m³/visitor night | 10.3 | 3.5 | 8.6 | 140 | ||
| Fuel Intensity - Property Management – Ultra low sulphur diesel (L/m²) | L/m² | 0.002 | 0.002 | 0.004 | 140 | ||
| Photovoltaic panels installed at properties under Group's management in Hong Kong | panels | 2300 | 53 | ||||
| Target for renewable energy generation (Sino Group) | kWh | 8000000 | 53 | ||||
| Total Energy Consumption (kWh) | kWh | 150879999 | 152713353 | 151323295 | 140 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 | Report Pages |
|---|---|---|---|---|---|
| WATER CONSUMPTION (Construction Sites) | m³ | 14349 | 79118 | 35260 | 141 |
| WATER CONSUMPTION (Hotels) | m³ | 323663 | 307065 | 204975 | 141 |
| WATER CONSUMPTION (Property Management) | m³ | 485995 | 419739 | 343722 | 141 |
| WATER CONSUMPTION (Sino Land) | m³ | 824007 | 805922 | 583957 | 141 |
| WATER INTENSITY (Construction Sites) | m³/m² | 0.02 | 0.48 | 0.22 | 141 |
| WATER INTENSITY (Hotels) | m³/visitor night | 1.3 | 1.3 | 2.5 | 141 |
| WATER INTENSITY (Property Management) | m³/m² | 0.5 | 0.4 | 0.2 | 141 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020 | 2020/2021 | 2022 | Report Pages |
|---|---|---|---|---|---|---|---|
| Mooncake boxes collected during the Mooncake Box Recycling Campaign | boxes | 15000 | 62 | ||||
| Reduction target for single-use plastic consumption across all business lines (from 2017 baseline) | reduction | 50% | 58 | ||||
| Use of Materials - Packaging Materials | tonnes | 1.2 | 6.6 | 21.8 | 142 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 | 2021 | 2021-06-30 | Report Pages |
|---|---|---|---|---|---|---|---|
| Equivalent number of trees planted through plastic bottle recycling initiative | trees | 7400 | 58 | ||||
| Equivalent trees planted as at 30 June 2021 | trees | 962840 | 48 | ||||
| Number of construction sites included in reporting scope | construction sites | 3 | 8 | 8 | 173 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018/2019 | 2019/20 | 2019/2020 | 2020/2019 | 2020/2021 | 2020/21 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Diversity - Asian (Sydney) | people | 117 | 125 | 147 | ||||
| Diversity - Australian (Sydney) | people | 124 | 38 | 147 | ||||
| Diversity - European (Sydney) | people | 12 | 10 | 147 | ||||
| Diversity - Hong Kong and Mainland China - Chinese (2019/2020) | (96.9%) | 8110 | 146 | |||||
| Diversity - Hong Kong and Mainland China - Non-Chinese (2019/2020) | (3.1%) | 262 | 146 | |||||
| Diversity - Middle Eastern (Sydney) | people | 1 | 1 | 147 | ||||
| Diversity - North American (Sydney) | people | 1 | 4 | 147 | ||||
| Diversity - Others (Sydney) | people | 9 | 19 | 147 | ||||
| Diversity - Singapore - Chinese (2019/2020) | (53.9%) | 322 | 146 | |||||
| Diversity - Singapore - Indian (2019/2020) | (12.6%) | 75 | 146 | |||||
| Diversity - Singapore - Malay (2019/2020) | (17.4%) | 104 | 146 | |||||
| Diversity - Singapore - Others (2019/2020) | (16.1%) | 96 | 146 | |||||
| Diversity - South African (Sydney) | people | 1 | 2 | 147 | ||||
| Economic Value Retained (Difference between direct economic value generated and economic value distributed, HK$) | HK$ | 2131737614 | 1482905315 | 18982817576 | 138 | |||
| Employee wages and benefits (Economic Value Distributed, HK$) | HK$ | 1625363198 | 1610405253 | 1567393317 | 138 | |||
| Employees - Contract/Short-term Staff - Hong Kong and Mainland China | people | 1562 | 1264 | 144 | ||||
| Employees - Contract/Short-term Staff - Singapore | people | 34 | 144 | |||||
| Employees - Director Level (Associate Director or above) - Hong Kong and Mainland China | people | 22 | 19 | 144 | ||||
| Employees - Director Level (Associate Director or above) - Singapore | people | 2 | 2 | 144 | ||||
| Employees - Director Level (Associate Director or above) - Sydney | people | 7 | 144 | |||||
| Employees - Entry Level (Assistant Officer or below) - Hong Kong and Mainland China | people | 5063 | 6085 | 144 | ||||
| Employees - Entry Level (Assistant Officer or below) - Singapore | people | 202 | 121 | 144 | ||||
| Employees - Entry Level (Assistant Officer or below) - Sydney | people | 187 | 117 | 144 | ||||
| Employees - Female - Full-time - Hong Kong and Mainland China | people | 3339 | 3710 | 144 | ||||
| Employees - Female - Full-time - Singapore | people | 264 | 205 | 144 | ||||
| Employees - Female - Full-time - Sydney | people | 61 | 51 | 144 | ||||
| Employees - Female - Hong Kong and Mainland China | people | 4068 | 4350 | 144 | ||||
| Employees - Female - Part-time - Hong Kong and Mainland China | people | 729 | 640 | 144 | ||||
| Employees - Female - Part-time - Sydney | people | 85 | 57 | 144 | ||||
| Employees - Female - Singapore | people | 264 | 205 | 144 | ||||
| Employees - Female - Sydney | people | 146 | 108 | 144 | ||||
| Employees - Male - Full-time - Hong Kong and Mainland China | people | 3474 | 3750 | 144 | ||||
| Employees - Male - Full-time - Singapore | people | 333 | 244 | 144 | ||||
| Employees - Male - Full-time - Sydney | people | 56 | 41 | 144 | ||||
| Employees - Male - Hong Kong and Mainland China | people | 4304 | 4374 | 144 | ||||
| Employees - Male - Part-time - Hong Kong and Mainland China | people | 830 | 624 | 144 | ||||
| Employees - Male - Part-time - Sydney | people | 63 | 50 | 144 | ||||
| Employees - Male - Singapore | people | 333 | 244 | 144 | ||||
| Employees - Male - Sydney | people | 119 | 91 | 144 | ||||
| Employees - Middle Level (Officer to Assistant Manager) - Hong Kong and Mainland China | people | 1272 | 912 | 144 | ||||
| Employees - Middle Level (Officer to Assistant Manager) - Singapore | people | 323 | 233 | 144 | ||||
| Employees - Middle Level (Officer to Assistant Manager) - Sydney | people | 44 | 63 | 144 | ||||
| Employees - Permanent - Female - Hong Kong and Mainland China | people | 3732 | 3710 | 144 | ||||
| Employees - Permanent - Female - Singapore | people | 264 | 203 | 144 | ||||
| Employees - Permanent - Female - Sydney | people | 70 | 60 | 144 | ||||
| Employees - Permanent - Hong Kong and Mainland China | people | 7777 | 7460 | 144 | ||||
| Employees - Permanent - Male - Hong Kong and Mainland China | people | 4045 | 3750 | 144 | ||||
| Employees - Permanent - Male - Singapore | people | 333 | 244 | 144 | ||||
| Employees - Permanent - Male - Sydney | people | 67 | 48 | 144 | ||||
| Employees - Permanent - Singapore | people | 597 | 447 | 144 | ||||
| Employees - Permanent - Sydney | people | 137 | 108 | 144 | ||||
| Employees - Senior Level (Manager to General Manager) - Hong Kong and Mainland China | people | 453 | 444 | 144 | ||||
| Employees - Senior Level (Manager to General Manager) - Singapore | people | 70 | 59 | 144 | ||||
| Employees - Senior Level (Manager to General Manager) - Sydney | people | 34 | 12 | 144 | ||||
| Employees - Temporary - Female - Hong Kong and Mainland China | people | 336 | 640 | 144 | ||||
| Employees - Temporary - Female - Singapore | people | 2 | 144 | |||||
| Employees - Temporary - Female - Sydney | people | 76 | 48 | 144 | ||||
| Employees - Temporary - Hong Kong and Mainland China | people | 595 | 1264 | 144 | ||||
| Employees - Temporary - Male - Hong Kong and Mainland China | people | 259 | 624 | 144 | ||||
| Employees - Temporary - Male - Sydney | people | 52 | 43 | 144 | ||||
| Employees - Temporary - Singapore | people | 2 | 144 | |||||
| Employees - Temporary - Sydney | people | 128 | 91 | 144 | ||||
| Employees 30-50 years old - Hong Kong and Mainland China | people | 3085 | 3060 | 145 | ||||
| Employees 30-50 years old - Singapore | people | 333 | 257 | 145 | ||||
| Employees 30-50 years old - Sydney | people | 90 | 75 | 145 | ||||
| Employees over 50 years old - Hong Kong and Mainland China | people | 4514 | 4855 | 145 | ||||
| Employees over 50 years old - Singapore | people | 124 | 100 | 145 | ||||
| Employees over 50 years old - Sydney | people | 47 | 45 | 145 | ||||
| Employees under 30 years old - Hong Kong and Mainland China | people | 773 | 809 | 145 | ||||
| Employees under 30 years old - Singapore | people | 140 | 92 | 145 | ||||
| Employees under 30 years old - Sydney | people | 128 | 79 | 145 | ||||
| New hires 30-50 years old (and rate) - Hong Kong and Mainland China | (20.9%), (32.4%) | 732 | 1099 | 145 | ||||
| New hires female (and rate) - Hong Kong and Mainland China | (22.1%), (33.8%) | 991 | 1578 | 145 | ||||
| New hires male (and rate) - Hong Kong and Mainland China | (24.7%), (33.0%) | 1174 | 1553 | 145 | ||||
| New hires over 50 years old (and rate) - Hong Kong and Mainland China | (20.7%), (29.3%) | 968 | 1466 | 145 | ||||
| New hires under 30 years old (and rate) - Hong Kong and Mainland China | (44.7%), (57.8%) | 465 | 566 | 145 | ||||
| Number of Employees Entitled to Paternity or Maternity Leave - Female (Hong Kong and Mainland China) | people | 3685 | 3728 | 147 | ||||
| Number of Employees Entitled to Paternity or Maternity Leave - Female (Singapore) | people | 264 | 182 | 147 | ||||
| Number of Employees Entitled to Paternity or Maternity Leave - Female (Sydney) | people | 63 | 51 | 147 | ||||
| Number of Employees Entitled to Paternity or Maternity Leave - Male (Hong Kong and Mainland China) | people | 3740 | 3685 | 147 | ||||
| Number of Employees Entitled to Paternity or Maternity Leave - Male (Singapore) | people | 333 | 233 | 147 | ||||
| Number of Employees Entitled to Paternity or Maternity Leave - Male (Sydney) | people | 39 | 42 | 147 | ||||
| Number of Employees Receiving Regular Performance Reviews - Contract/Short-term Staff (and rate) | people (100%) | 1562 | 1298 | 151 | ||||
| Number of Employees Receiving Regular Performance Reviews - Director Level (Associate Director or above) (and rate) | people (100%) | 24 | 28 | 151 | ||||
| Number of Employees Receiving Regular Performance Reviews - Entry Level (Assistant Officer or below) (and rate) | people (100%) | 5452 | 6323 | 151 | ||||
| Number of Employees Receiving Regular Performance Reviews - Female (and rate) | people (100%) | 4478 | 4663 | 151 | ||||
| Number of Employees Receiving Regular Performance Reviews - Male (and rate) | people (100%) | 4756 | 4709 | 151 | ||||
| Number of Employees Receiving Regular Performance Reviews - Middle Level (Officer to Assistant Manager) (and rate) | people (100%) | 1639 | 1208 | 151 | ||||
| Number of Employees Receiving Regular Performance Reviews - Senior Level (Manager to General Manager) (and rate) | people (100%) | 557 | 515 | 151 | ||||
| Number of Employees Returning to Work After Paternity or Maternity Leave - Female (Hong Kong and Mainland China) | people | 57 | 43 | 147 | ||||
| Number of Employees Returning to Work After Paternity or Maternity Leave - Female (Singapore) | people | 4 | 7 | 147 | ||||
| Number of Employees Returning to Work After Paternity or Maternity Leave - Female (Sydney) | people | 1 | 147 | |||||
| Number of Employees Returning to Work After Paternity or Maternity Leave - Male (Hong Kong and Mainland China) | people | 49 | 24 | 147 | ||||
| Number of Employees Returning to Work After Paternity or Maternity Leave - Male (Singapore) | people | 9 | 4 | 147 | ||||
| Number of Employees Taking Paternity or Maternity Leave - Female (Hong Kong and Mainland China) | people | 57 | 48 | 147 | ||||
| Number of Employees Taking Paternity or Maternity Leave - Female (Singapore) | people | 4 | 11 | 147 | ||||
| Number of Employees Taking Paternity or Maternity Leave - Female (Sydney) | people | 2 | 2 | 147 | ||||
| Number of Employees Taking Paternity or Maternity Leave - Male (Hong Kong and Mainland China) | people | 53 | 30 | 147 | ||||
| Number of Employees Taking Paternity or Maternity Leave - Male (Singapore) | people | 11 | 4 | 147 | ||||
| Operating cost (Economic Value Distributed, HK$) | HK$ | 443926845 | 360251860 | 372031655 | 138 | |||
| Thousand hours worked (Hong Kong and Mainland China) | thousand hours | 16744 | 17448 | 149 | ||||
| Thousand hours worked (Singapore) | thousand hours | 1194 | 898 | 149 | ||||
| Thousand hours worked (Sydney) | thousand hours | 530 | 398 | 149 | ||||
| Total number of new hires - Hong Kong and Mainland China | people | 1860 | 2973 | 145 | ||||
| Total number of new hires - Singapore | people | 159 | 100 | 145 | ||||
| Total number of new hires - Sydney | people | 146 | 58 | 145 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019/20 | 2019/2020 | 2020/2021 | 2020/21 | Report Pages |
|---|---|---|---|---|---|---|
| Employee turnover by age group - 30-50 years old (2019/2020) | (32.9%) | 1155 | 146 | |||
| Employee turnover by age group - 30-50 years old (2020/2021) | (29.7%) | 1007 | 146 | |||
| Employee turnover by age group - Over 50 years old (2019/2020) | (40.5%) | 1897 | 146 | |||
| Employee turnover by age group - Over 50 years old (2020/2021) | (33.0%) | 1652 | 146 | |||
| Employee turnover by age group - Under 30 years old (2019/2020) | (67.1%) | 698 | 146 | |||
| Employee turnover by age group - Under 30 years old (2020/2021) | (53.2%) | 521 | 146 | |||
| Employee turnover by gender - Female (2019/2020) | (40.6%) | 1820 | 146 | |||
| Employee turnover by gender - Female (2020/2021) | (32.1%) | 1499 | 146 | |||
| Employee turnover by gender - Male (2019/2020) | (40.6%) | 1930 | 146 | |||
| Employee turnover by gender - Male (2020/2021) | (35.7%) | 1681 | 146 | |||
| Number of Employees Still Employed for 12 Months After Returning to Work, Female, Hong Kong and Mainland China | 29 | 39 | 148 | |||
| Number of Employees Still Employed for 12 Months After Returning to Work, Female, Singapore | 4 | 4 | 148 | |||
| Number of Employees Still Employed for 12 Months After Returning to Work, Female, Sydney | 1 | 148 | ||||
| Number of Employees Still Employed for 12 Months After Returning to Work, Male, Hong Kong and Mainland China | 34 | 20 | 148 | |||
| Number of Employees Still Employed for 12 Months After Returning to Work, Male, Singapore | 9 | 6 | 148 | |||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period, Female, Hong Kong and Mainland China | 42 | 57 | 148 | |||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period, Female, Singapore | 12 | 4 | 148 | |||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period, Female, Sydney | - | 1 | 148 | |||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period, Male, Hong Kong and Mainland China | 45 | 49 | 148 | |||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period, Male, Singapore | 13 | 9 | 148 | |||
| Number of Employees Who Returned to Work After Taking Paternity or Maternity Leave in Prior Reporting Period, Male, Sydney | - | 148 | ||||
| Overall new hires rate - Hong Kong and Mainland China | 22.2% | 34.1% | 145 | |||
| Overall new hires rate - Singapore | 26.6% | 22.3% | 145 | |||
| Overall new hires rate - Sydney | 55.1% | 29.1% | 145 | |||
| Overall turnover rate (Hong Kong and Mainland China) | 39.6% | 32.0% | 146 | |||
| Overall turnover rate (Singapore) | 45.1% | 55.9% | 146 | |||
| Overall turnover rate (Sydney) | 62.6% | 69.3% | 146 | |||
| Retention Rate, Female, Hong Kong and Mainland China | % | 69.0% | 68.4% | 148 | ||
| Retention Rate, Female, Singapore | % | 33.3% | 100% | 148 | ||
| Retention Rate, Female, Sydney | % | - | 0% | 148 | ||
| Retention Rate, Male, Hong Kong and Mainland China | % | 75.6% | 40.8% | 148 | ||
| Retention Rate, Male, Singapore | % | 69.2% | 66.6% | 148 | ||
| Retention Rate, Male, Sydney | % | - | - | 148 | ||
| Total number of employee turnover (Hong Kong and Mainland China) | 3315 | 2791 | 146 | |||
| Total number of employee turnover (Singapore) | 269 | 251 | 146 | |||
| Total number of employee turnover (Sydney) | 166 | 138 | 146 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019/20 | 2020/2019 | 2020/2021 | 2020/21 | Report Pages |
|---|---|---|---|---|---|---|
| High-consequence work-related injury rate (per 100 employees, Hong Kong and Mainland China) | per 100 employees | 0.11 | 149 | |||
| High-consequence work-related injury rate (per 100 employees, Singapore) | per 100 employees | 0.67 | 149 | |||
| High-consequence work-related injury rate (per 100 employees, Sydney) | per 100 employees | 0.38 | 149 | |||
| Injury rate (per 100 employees, Hong Kong and Mainland China) | per 100 employees | 2.02 | 1.9 | 149 | ||
| Injury rate (per 100 employees, Singapore) | per 100 employees | 2.85 | 9.35 | 149 | ||
| Injury rate (per 100 employees, Sydney) | per 100 employees | 5.66 | 8.04 | 149 | ||
| Number of high-consequence work-related injuries (excluding fatalities) (accidents) - Hong Kong | 2 | 150 | ||||
| Number of high-consequence work-related injuries (excluding fatalities, Hong Kong and Mainland China) | accidents | 9 | 149 | |||
| Number of high-consequence work-related injuries (excluding fatalities, Singapore) | accidents | 3 | 149 | |||
| Number of high-consequence work-related injuries (excluding fatalities, Sydney) | accidents | 1 | 149 | |||
| Number of reported accidents due to work-related injury (Hong Kong and Mainland China) | accidents | 160 | 166 | 149 | ||
| Number of reported accidents due to work-related injury (Singapore) | accidents | 17 | 39 | 149 | ||
| Number of reported accidents due to work-related injury (Sydney) | accidents | 14 | 8 | 149 | ||
| Number of reported accidents due to work-related injury (accidents) - Hong Kong | 15 | 5 | 150 |
Lost days due to work injury.
| Indicator | Unit | 2019/20 | 2020/21 | Report Pages |
|---|---|---|---|---|
| Number of lost days (Hong Kong and Mainland China) | days | 5277 | 6553 | 149 |
| Number of lost days (Singapore) | days | 116 | 125 | 149 |
| Number of lost days (Sydney) | days | 278 | 748 | 149 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019/20 | 2020/21 | Report Pages |
|---|---|---|---|---|
| Return to Work Rate, Female, Hong Kong and Mainland China | % | 100% | 89.6% | 148 |
| Return to Work Rate, Female, Singapore | % | 100% | 63.6% | 148 |
| Return to Work Rate, Female, Sydney | % | 50.0% | 0% | 148 |
| Return to Work Rate, Male, Hong Kong and Mainland China | % | 92.4% | 80.0% | 148 |
| Return to Work Rate, Male, Singapore | % | 81.8% | 100% | 148 |
| Return to Work Rate, Male, Sydney | % | - | - | 148 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019/20 | 2020/21 | Report Pages |
|---|---|---|---|---|
| Number of staff trained (people and rate) - Contract/Short-term Staff | 781 | 809 | 150 | |
| Number of staff trained (people and rate) - Director Level | 17 | 18 | 150 | |
| Number of staff trained (people and rate) - Entry Level | 5452 | 3245 | 150 | |
| Number of staff trained (people and rate) - Female | 3973 | 2336 | 150 | |
| Number of staff trained (people and rate) - Male | 4119 | 3169 | 150 | |
| Number of staff trained (people and rate) - Middle Level | 1325 | 939 | 150 | |
| Number of staff trained (people and rate) - Senior Level | 468 | 494 | 150 | |
| Number of staff trained (people and rate) - Training on human rights policies or procedures | 2165 | 727 | 150 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019/20 | 2020/21 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Average training hours/employee - Contract/Short-term Staff | hour | 3.3 | 3.1 | 150 | ||
| Average training hours/employee - Director Level | hour | 7.5 | 10.3 | 150 | ||
| Average training hours/employee - Entry Level | hour | 12.2 | 12.7 | 150 | ||
| Average training hours/employee - Female | hour | 11.7 | 11 | 150 | ||
| Average training hours/employee - Male | hour | 11.3 | 15.3 | 150 | ||
| Average training hours/employee - Middle Level | hour | 16.4 | 23.8 | 150 | ||
| Average training hours/employee - Senior Level | hour | 12.9 | 19.4 | 150 | ||
| Average training hours/employee - Training on human rights policies or procedures | hour | 0.53 | 0.1 | 150 | ||
| Target increase in training hours per employee by 2025 compared to 2019 | % | 50 | 74 | |||
| Target increase in training hours per employee by 2030 compared to 2019 | % | 100 | 74 | |||
| Total training hours - Contract/Short-term Staff | hour | 5174 | 4061 | 150 | ||
| Total training hours - Director Level | hour | 181 | 287 | 150 | ||
| Total training hours - Entry Level | hour | 66538 | 80079 | 150 | ||
| Total training hours - Female | hour | 52428 | 51271 | 150 | ||
| Total training hours - Male | hour | 53563 | 71847 | 150 | ||
| Total training hours - Middle Level | hour | 26936 | 28689 | 150 | ||
| Total training hours - Senior Level | hour | 7162 | 10002 | 150 | ||
| Total training hours - Training on human rights policies or procedures | hour | 4910 | 824 | 150 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2019 | 2020/2021 | Report Pages |
|---|---|---|---|---|---|---|
| Number of buildings and hotels included in reporting scope | buildings | 51 | 51 | 67 | 173 | |
| Supply Chain - Asia (except Hong Kong, Mainland China and Taiwan) (and rate) | (35.1%), (36.2%) | 289 | 317 | 151 | ||
| Supply Chain - Europe and North America (and rate) | (2.0%), (3.2%) | 16 | 29 | 151 | ||
| Supply Chain - Hong Kong (and rate) | (18.7%), (25.4%) | 203 | 169 | 151 | ||
| Supply Chain - Mainland China and Taiwan (and rate) | (0.1%), (1.6%) | 1 | 14 | 151 | ||
| Supply Chain - Oceania (and rate) | (36.0%), (41.0%) | 288 | 370 | 151 | ||
| Supply Chain - Other Regions (and rate) | (0.3%), (0.4%) | 2 | 4 | 151 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 | Report Pages |
|---|---|---|---|---|---|
| Number of hotels included in reporting scope | hotels | 3 | 3 | 3 | 173 |
| Share of results of associates and joint ventures (Direct Economic Value Generated, HK$) | HK$ | 1003157242 | 942771973 | 457729651 | 138 |
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 | 2018/2019 | 2019/2020 | 2020/2021 | Report Pages |
|---|---|---|---|---|---|
| Payment to providers of capital (Economic Value Distributed, HK$) | HK$ | 3647767782 | 3799049962 | 3960930516 | 138 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | 2025 | Report Pages |
|---|---|---|---|---|
| Children of employees granted learning materials for new academic year | children | 286 | 71 | |
| Employees' children receiving Scholarship and Bursary Award (Hong Kong) | children | 82 | 71 | |
| Employees' children receiving Scholarship and Bursary Award (Mainland China) | children | 22 | 71 | |
| Number of primary schools to be supported and enhanced by wellness education by 2025 | schools | 150 | 118 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018/2019 | 2019/2020 | 2020 | 2020/2021 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| Community investment (i.e. charitable donations and sponsorship) (Economic Value Distributed, HK$) | HK$ | 4349000 | 5222000 | 2626000 | 138 | ||
| Finance income (Direct Economic Value Generated, HK$) | HK$ | 643252213 | 1025188143 | 572185143 | 138 | ||
| Hong Kong profits tax paid (Economic Value Distributed, HK$) | HK$ | 712371965 | 433102425 | 482622948 | 138 | ||
| Number of less-resourced families whose wellbeing is targeted for improvement by 2025 | families | 5000 | 118 | ||||
| Revenue (Direct Economic Value Generated, HK$) | HK$ | 8009912578 | 5886888002 | 24545345720 | 138 | ||
| Scholarship and Bursary Award amount | HKD | 935400 | 71 | ||||
| Taxation in other jurisdictions paid (Economic Value Distributed, HK$) | HK$ | 1090805629 | 163911303 | 206838502 | 138 | ||
| Total Direct Economic Value Generated (HK$) | HK$ | 9656322033 | 7854848118 | 25575260514 | 138 | ||
| Total Economic Value Distributed (HK$) | HK$ | 7524584419 | 6371942803 | 6592442938 | 138 |
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 | 2018/2019 | 2019/2020 | 2020/2021 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 605.9 | 4045.1 | 2906.5 |
| HFC Emissions | kg | 612 | ||
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 98381.2 | 91947.4 | 96227.2 |
| Scope 1 GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.001 | 0.021 | 0.007 |
| Scope 1 GHG Emissions Intensity (By Employee) | tonnes CO2e/employee | 0.74 | 0.91 | 0.68 |
| Scope 1 GHG Emissions Intensity (By Unit Product) | tonnes CO2e/visitor night | 0.043 | 0.062 | 0.139 |
| Scope 2 GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.087 | 0.074 | 0.062 |
| Scope 2 GHG Emissions Intensity (By Employee) | tonnes CO2e/employee | 0.74 | 0.91 | 0.68 |
| Scope 2 GHG Emissions Intensity (By Unit Product) | tonnes CO2e/visitor night | 0.043 | 0.062 | 0.139 |
| Scope 3 GHG Emissions Intensity (By Area) | tonnes CO2e/m2 | 0.087 | 0.074 | 0.062 |
| Scope 3 GHG Emissions Intensity (By Employee) | tonnes CO2e/employee | 0.74 | 0.91 | 0.68 |
| Scope 3 GHG Emissions Intensity (By Unit Product) | tonnes CO2e/visitor night | 0.043 | 0.062 | 0.139 |
| Total GHG Emissions | tonnes CO2e | 99371.4 | 96544.3 | 99481.8 |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 384.3 | 551.8 | 348.1 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 |
|---|---|---|---|---|
| Hazardous Waste (Office) | kg | 473 | 56.1 | 81.3 |
| Hazardous Waste Disposed | kg | 1335.2 | 861.5 | 1132.9 |
| Total Hazardous Waste | kg | 1335.2 | 861.5 | 1132.9 |
| Total Hazardous Waste Intensity (By Area) | kg/m2 | 0.001 | 0.001 | 0.001 |
| Total Hazardous Waste Intensity (By Employee) | kg/employee | 0.47 | 0.06 | 0.08 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 |
|---|---|---|---|---|
| Glass Waste | tonnes | 32.2 | 14.4 | 32.4 |
| Non-Hazardous Waste (Construction Waste) | tonnes | 269491.9 | 16140.2 | 25602.7 |
| Non-Hazardous Waste (Office Waste) | tonnes | 25.9 | 21.5 | 18.3 |
| Non-Hazardous Waste Disposed | tonnes | 1726.4 | 35309.7 | 10605.1 |
| Non-Hazardous Waste Recycled | tonnes | 2848.6 | 2215.9 | 1349.6 |
| Paper Waste | tonnes | 2848.6 | 2215.9 | 1349.6 |
| Plastic Waste | tonnes | 24.6 | 10 | 0.9 |
| Total Non-Hazardous Waste Intensity (By Area) | tonnes/m² | 0.002 | 0.24 | 0.067 |
| Total Non-Hazardous Waste Intensity (By Employee) | tonnes/employee | 0.03 | 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 | 2021-06-30 | 2030 |
|---|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | % | 26.94 | |
| Target GHG Emissions Reduction Percentage by 2030 Compared to 2012 | % | 30 |
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 |
|---|---|
| Plastic Waste Reduction Percentage Compared to Last Year | % |
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 | 2018/2019 | 2019/2020 | 2020/2021 | 2021-06-30 | 2030 |
|---|---|---|---|---|---|---|
| Diesel Fuel Consumption | L | 2290 | 720688 | 107152 | ||
| Natural Gas Consumption | m³ | 2511487 | 861710 | 717295 | ||
| Purchased Electricity Intensity (By Area) | kWh/m² | 113.1 | 104.3 | 14 | ||
| Purchased Electricity Intensity (By Employee) | kWh/employee | 1228.2 | 1191.7 | 964.2 | ||
| Renewable Energy Consumption | kWh | 8000000 | ||||
| Solar Energy | panels | 2300 | ||||
| Total Energy Consumption | kWh | 150879999 | 152713353 | 151323295 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 |
|---|---|---|---|---|
| Total Water Withdrawal | m³ | |||
| Water Consumption | m³ | 824007 | 805922 | 583957 |
| Water Consumption Intensity (By Revenue) | m³/visitor night | 0.02 | 0.4 | 0.22 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh |
| Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2018/2019 | 2019/2020 | 2020/2021 |
|---|---|---|---|---|
| Packaging Materials Consumed | tonnes | 1.2 | 6.6 | 21.8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019/20 | 2020/21 |
|---|---|---|---|
| Number of Employees Aged 30-50 | people | 3508 | 3392 |
| Number of Employees Aged Above 50 | people | 4685 | 5000 |
| Number of Employees Aged Below 30 | people | 1041 | 980 |
| Number of Employees in Hong Kong and Mainland China | people | 8372 | 7460 |
| Number of Employees in Singapore | people | 597 | 447 |
| Number of Employees in Sydney | people | 137 | 108 |
| Number of Female Employees | people | 4478 | 4350 |
| Number of Full-time Employees (Female) | people | 3664 | 3966 |
| Number of Full-time Employees (Male) | people | 3863 | 4035 |
| Number of Male Employees | people | 4756 | 4374 |
| Number of New Employees | people | 2165 | 3131 |
| Number of New Employees (Above 50) | people | 968 | 1466 |
| Number of New Employees (Aged 30-50) | people | 732 | 1099 |
| Number of New Employees (Aged Below 30) | people | 465 | 566 |
| Number of New Employees (Female) | people | 991 | 1578 |
| Number of New Employees (Male) | people | 1174 | 1553 |
| Number of Part-time Employees (Female) | people | 814 | 697 |
| Number of Part-time Employees (Male) | people | 893 | 674 |
| Number of Temporary Workers (Female) | people | 412 | 690 |
| Number of Temporary Workers (Male) | people | 311 | 667 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019/20 | 2019/2020 | 2020/2021 | 2020/21 |
|---|---|---|---|---|---|
| Employees still Employed 12 Months after Return to Work (Female) | count | 34 | 43 | ||
| Employees still Employed 12 Months after Return to Work (Male) | count | 43 | 26 | ||
| Turnover Rate of Employees Aged 30-50 | % | 32.9 | 29.7 | ||
| Turnover Rate of Employees Aged Above 50 | % | 40.5 | 33 | ||
| Turnover Rate of Employees Aged Below 30 | % | 67.1 | 53.2 | ||
| Turnover Rate of Employees in Hong Kong and Mainland China | % | 39.6 | 32 | ||
| Turnover Rate of Employees in Singapore | % | 45.1 | 55.9 | ||
| Turnover Rate of Employees in Sydney | % | 62.6 | 69.3 | ||
| Turnover Rate of Female Employees | % | 40.6 | 32.1 | ||
| Turnover Rate of Male Employees | % | 40.6 | 35.7 | ||
| Turnover Rate of Total Employees | % | 39.6 | 32 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019/20 | 2020/21 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 5671 | 7426 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019/20 | 2020/21 |
|---|---|---|---|
| Percentage of Trained Contract Employees | percent | 6.89 | 14.7 |
| Percentage of Trained Female Employees | percent | 49.03 | 42.43 |
| Percentage of Trained General Employees | percent | 48.13 | 58.85 |
| Percentage of Trained Male Employees | percent | 50.97 | 57.57 |
| Percentage of Trained Middle Management | percent | 11.7 | 17.04 |
| Percentage of Trained Senior Management | percent | 4.13 | 8.97 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019/20 | 2020/21 |
|---|---|---|---|
| Average Training Hours (Contract Employees) | hours | 3.3 | 3.1 |
| Average Training Hours (Director and Above) | hours | 7.5 | 10.3 |
| Average Training Hours (Female) | hours | 11.7 | 11 |
| Average Training Hours (General Employees) | hours | 12.2 | 12.7 |
| Average Training Hours (Male) | hours | 11.3 | 15.3 |
| Average Training Hours (Middle Management) | hours | 16.4 | 23.8 |
| Average Training Hours (Senior Management) | hours | 12.9 | 19.4 |
| Average Training Hours per Employee | hours | 13 | 13 |
| Total Training Hours | hours | 123000 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020/2019 | 2020/2021 |
|---|---|---|---|
| Number of Suppliers in Asia (Excluding China) | suppliers | 289 | 317 |
| Number of Suppliers in Europe | suppliers | 16 | 29 |
| Number of Suppliers in Hong Kong | suppliers | 203 | 169 |
| Number of Suppliers in Mainland China | suppliers | 1 | 14 |
| Number of Suppliers in Overseas | suppliers | 615 | 720 |
| Number of Total Suppliers | suppliers | 799 | 903 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018/2019 | 2019/2020 | 2020 | 2020/2021 |
|---|---|---|---|---|---|
| Investment in Education Donation | HKD | 935400 | |||
| Number of Registered Volunteers | volunteers | ||||
| Total Social Investment | HK$ | 4349000 | 5222000 | 2626000 | |
| Total Volunteer Service Hours | hours |