Sustainability Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
NOx air emissions | tonnes | 1.363 | 1.384 | 1.02 | 68 |
PM air emissions | tonnes | 0.06 | 0.06 | 0.061 | 68 |
SO2 air emissions | tonnes | 0.014 | 0.021 | 0.02 | 68 |
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 | 2017 | 2022 | 2023 | 2024 | 2030 | 2050 | Report Pages |
---|---|---|---|---|---|---|---|---|
Carbon emissions reduction at Modern Terminals in 2024 | tons | 147 | 36 | |||||
Carbon-related costs derived from Scope 1 emissions, Brown Scenario, 2030 | Negligible | 33 | ||||||
Carbon-related costs derived from Scope 1 emissions, Brown Scenario, 2050 | Negligible | 33 | ||||||
Carbon-related costs derived from Scope 1 emissions, Turquoise Scenario, 2030 | per annum | Up to USD340000 | 33 | |||||
Carbon-related costs derived from Scope 1 emissions, Turquoise Scenario, 2050 | per annum | Up to USD347000 | 33 | |||||
Carbon-related costs derived from Scope 2 emissions, Brown Scenario, 2030 | Negligible | 33 | ||||||
Carbon-related costs derived from Scope 2 emissions, Brown Scenario, 2050 | per annum | Up to USD310000 | 33 | |||||
Carbon-related costs derived from Scope 2 emissions, Turquoise Scenario, 2030 | per annum | Up to USD5.4 million | 33 | |||||
Carbon-related costs derived from Scope 2 emissions, Turquoise Scenario, 2050 | per annum | Up to USD5.5 million | 33 | |||||
Direct (Scope 1) GHG emissions | tonnes CO2e | 16346 | 16564 | 16941 | 68 | |||
Direct (Scope 1) GHG emissions - Corporate Office | tonnes CO2e | 53 | 55 | 54 | 68 | |||
Direct (Scope 1) GHG emissions - Hotels | tonnes CO2e | 2006 | 4119 | 1603 | 68 | |||
Direct (Scope 1) GHG emissions - HxP | tonnes CO2e | 5029 | 4650 | 4597 | 68 | |||
Direct (Scope 1) GHG emissions - Logistics | tonnes CO2e | 7097 | 5077 | 5090 | 68 | |||
Direct (Scope 1) GHG emissions - MLP | tonnes CO2e | 62 | 67 | 71 | 68 | |||
GHG emission (Scope 1 and 2) intensity | % | -25 | 27 | |||||
GHG emissions (Scope 1 and 2) intensity - Corporate Office | tonnes CO2e/sq ft | 0.04 | 0.04 | 0.04 | 37 | |||
GHG emissions (Scope 1 and 2) intensity - Hotels | tonnes CO2e/sq ft | 0.05 | 0.04 | 0.03 | 37 | |||
GHG emissions (Scope 1 and 2) intensity - Logistics | tonnes CO2e/TEU | 0.006 | 0.006 | 0.005 | 37 | |||
GHG emissions (Scope 1 and 2) intensity - MLDP | tonnes CO2e/sq ft | 0.06 | 0.05 | 0.04 | 37 | |||
GHG emissions (Scope 1 and 2) intensity - MLIP | tonnes CO2e/sq ft | 0.05 | 0.04 | 0.03 | 37 | |||
GHG emissions (Scope 1 and 2) intensity - Managed Hotels | tonnes CO2e/sq ft | 0.07 | 0.04 | 0.04 | 37 | |||
Other indirect (Scope 3) GHG emissions | tonnes CO2e | 96116 | 265105 | 341429 | 68 | |||
Other indirect (Scope 3) GHG emissions - Corporate Office | tonnes CO2e | 6 | 6 | 5432 | 68 | |||
Other indirect (Scope 3) GHG emissions - Hotels | tonnes CO2e | 170 | 203 | 11112 | 68 | |||
Other indirect (Scope 3) GHG emissions - HxP | tonnes CO2e | 65682 | 38087 | 65949 | 68 | |||
Other indirect (Scope 3) GHG emissions - Logistics | tonnes CO2e | 11000 | 39875 | 39275 | 68 | |||
Other indirect (Scope 3) GHG emissions - MLP | tonnes CO2e | 12453 | 2727 | 16868 | 68 | |||
Refrigerants used | tonnes | 1.78 | 1.51 | 1 | 69 | |||
Scope 2 emissions (location-based) | tonnes CO2e | 21247 | 18964 | 18049 | 68 | |||
Scope 2 emissions (location-based) - Corporate Office | tonnes CO2e | 252 | 261 | 247 | 68 | |||
Scope 2 emissions (location-based) - Hotels | tonnes CO2e | 17065 | 20319 | 13393 | 68 | |||
Scope 2 emissions (location-based) - HxP | tonnes CO2e | 13432 | 8120 | 7187 | 68 | |||
Scope 2 emissions (location-based) - Logistics | tonnes CO2e | 17662 | 16222 | 15772 | 68 | |||
Scope 2 emissions (location-based) - MLP | tonnes CO2e | 7439 | 3066 | 7510 | 68 | |||
Total GHG (Scope 1, 2 and 3) emissions per HK$ million revenues (location-based) | 41.41 | 41.41 | 41.41 | 68 | ||||
Total GHG (Scope 1, 2 and 3) emissions per HK$ million revenues (market-based) | 13.13 | 10.65 | 38.06 | 68 | ||||
Total GHG (Scope 1, 2 and 3) emissions per number of employee (location-based) | 36.23 | 45.65 | 50.23 | 68 | ||||
Total GHG (Scope 1, 2 and 3) emissions per number of employee (market-based) | 28.04 | 35.13 | 39.81 | 68 | ||||
Total GHG emissions Scope 1 | tonnes CO2e | 16366 | 16654 | 16961 | 37 | |||
Total GHG emissions Scope 2 | tonnes CO2e | 124730 | 138894 | 100898 | 37 | |||
Total GHG emissions Scope 3 | tonnes CO2e | 96116 | 46275 | 343289 | 37 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Construction waste to landfill (HKP) | tonnes | 7418 | 959.14 | 70 | |
Construction waste to landfill (MLIP) | tonnes | 14724.21 | 16425.85 | 70 | |
Construction waste to landfill (Managed Hotels) | tonnes | 94.35 | 55.37 | 70 | |
Construction waste to landfill (Total) | tonnes | 22474.36 | 23620.46 | 70 | |
Total waste generated (Total) | tonnes | 18587.17 | 19443.51 | 70 | |
Total wastewater discharge | m³ | 2045266 | 2039236 | 1630836 | 69 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Bricks used | tonnes | 2075.1 | 2058.41 | 2064.38 | 69 |
Construction waste recycled (HKP) | tonnes | 480.81 | 205.44 | 70 | |
Construction waste recycled (MLIP) | tonnes | 2436.96 | 5912.46 | 70 | |
Construction waste recycled (Managed Hotels) | tonnes | 21.35 | 74.95 | 70 | |
Construction waste recycled (Total) | tonnes | 2571.64 | 6917.82 | 70 | |
Earthworks used | tonnes | 42 | 18 | 11754 | 69 |
Food waste recycled (Hotels) | tonnes | 120.96 | 299.17 | 70 | |
Food waste recycled (MLIP) | tonnes | 2564.15 | 3098.71 | 70 | |
General refuse to landfill (Corporate Office) | tonnes | 1.9 | 1.9 | 70 | |
General refuse to landfill (HKP) | tonnes | 1597.3 | 274.8 | 70 | |
General refuse to landfill (Hotels) | tonnes | 515.8 | 690.8 | 70 | |
General refuse to landfill (Logistics) | tonnes | 756.45 | 781.4 | 70 | |
General refuse to landfill (MLDP) | tonnes | 19.5 | 137 | 70 | |
General refuse to landfill (MLIP) | tonnes | 7265.2 | 6800.5 | 70 | |
General refuse to landfill (Managed Hotels) | tonnes | 451.04 | 209.27 | 70 | |
General refuse to landfill (Total) | tonnes | 9190.4 | 9493.2 | 70 | |
Glass recycled (Hotels) | tonnes | 27.64 | 41.35 | 70 | |
Glass recycled (Total) | tonnes | 29.78 | 39.85 | 70 | |
Incinerated waste (HKP) | tonnes | 608.18 | 1022.06 | 70 | |
Incinerated waste (MLIP) | tonnes | 3378 | 3446.8 | 70 | |
Incinerated waste (Total) | tonnes | 4347.2 | 4480.3 | 70 | |
Metals recycled (Hotels) | tonnes | 22.47 | 17.48 | 70 | |
Metals recycled (MLIP) | tonnes | 85.36 | 84.84 | 70 | |
Metals recycled (Total) | tonnes | 377.58 | 357.55 | 70 | |
Mortar used | m³ | 253.1 | 2.64 | 91.54 | 69 |
Paper recycled (Hotels) | tonnes | 25.73 | 38.2 | 70 | |
Paper recycled (MLIP) | tonnes | 263.96 | 305.45 | 70 | |
Paper recycled (Total) | tonnes | 359.73 | 377.97 | 70 | |
Recycled waste by operation - Corporate Office | tonnes | 2.92 | 3.22 | 3.49 | 41 |
Recycled waste by operation - HKP | tonnes | 614.67 | 293.83 | 351.92 | 41 |
Recycled waste by operation - Hotels | tonnes | 0.47 | 0.67 | 0.7 | 41 |
Recycled waste by operation - Logistics | tonnes | 0.27 | 0.41 | 0.36 | 41 |
Recycled waste by operation - MLDP | tonnes | 152.54 | 221.03 | 136.2 | 41 |
Recycled waste by operation - MLIP | tonnes | 1223.94 | 1208.35 | 1189.07 | 41 |
Recycled waste by operation - Managed Hotels | tonnes | 2.3 | 0.12 | 0.17 | 41 |
Rubber used | tonnes | 3.54 | 3.15 | 1.01 | 69 |
Soap recycled (Hotels) | tonnes | 1.47 | 70 | ||
Soap recycled (Total) | tonnes | 1.47 | 70 | ||
Toner used | tonnes | 4 | 3.77 | 3 | 69 |
Total waste generated (HKP) | tonnes | 2203.34 | 1580.02 | 70 | |
Total waste generated (MLIP) | tonnes | 12830.8 | 13326.49 | 70 | |
Total waste generated (Managed Hotels) | tonnes | 57.59 | 66.67 | 70 |
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 | 2017 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Food waste recycled (Total) | tonnes | 3177.28 | 3528.7 | 70 | |
Hazardous waste recycled (MLIP) | tonnes | 4.56 | 4.61 | 70 | |
Hazardous waste recycled (Managed Hotels) | tonnes | 763.59 | 759.1 | 70 | |
Hazardous waste recycled (Total) | tonnes | 767.6 | 792.8 | 70 | |
Plastics recycled (Hotels) | tonnes | 1 | 7.8 | 70 | |
Plastics recycled (MLIP) | tonnes | 29.64 | 36.45 | 70 | |
Plastics recycled (Total) | tonnes | 30.01 | 50 | 70 | |
Recycled (HKP) | kg | 68127.75 | 89009.63 | 70 | |
Recycled (Total) | kg | 68127.75 | 89009.63 | 70 | |
Waste management | Divert waste from landfills | 27 |
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 | 2017 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|
Cement used | tonnes | 6529.57 | 12005.4 | 13129 | 69 | |
Concrete used | tonnes | 18364.62 | 16409.11 | 37557.78 | 69 | |
Diesel energy consumption | GJ | 6475.11 | 6844.64 | 8846.76 | 69 | |
Diesel energy consumption - Corporate Office | GJ | 66 | 74 | 58 | 69 | |
Diesel energy consumption - Hotels | GJ | 41 | 92 | 31 | 69 | |
Diesel energy consumption - Logistics | GJ | 619.79 | 619.79 | 885.33 | 69 | |
Diesel energy consumption - MLDP | GJ | 823 | 875 | 938 | 69 | |
Diesel energy consumption - MLIP | GJ | 254 | 336 | 211 | 69 | |
Diesel energy consumption - Managed Hotels | GJ | 368 | 398 | 211 | 69 | |
Electricity produced by solar photovoltaic power station on office building rooftop at Shanghai Times Square in 2024 | kWh | 57086 | 36 | |||
Electricity produced from solar power at Modern Terminals in 2024 | kWh | 377503 | 36 | |||
Energy consumption intensity by operation - Corporate Office | GJ/m2 | 0.39 | 0.37 | 0.36 | 35 | |
Energy consumption intensity by operation - Hotels | GJ/guest night | 0.36 | 0.27 | 0.25 | 35 | |
Energy consumption intensity by operation - Logistics | GJ/m2 | 0.23 | 0.23 | 0.23 | 35 | |
Energy consumption intensity by operation - MLDP | GJ/m2 | 0.06 | 0.06 | 0.06 | 35 | |
Energy consumption intensity by operation - MLIP | GJ/m2 | 0.46 | 0.4 | 0.4 | 35 | |
Energy consumption intensity by operation - Managed Hotels | GJ/guest night | 0.32 | 0.31 | 0.28 | 35 | |
Energy consumption per HK$ million revenues | HK$ million | 60.79 | 94.74 | 58.79 | 69 | |
Energy consumption per number of employee | GJ/no. | 206.76 | 207.21 | 205.29 | 69 | |
Liquefied petroleum gas (LPG) energy consumption | GJ | 3240 | 3428 | 2693 | 69 | |
MLIP's electricity intensity | % | -20 | 27 | |||
Purchased electricity energy consumption | GJ | 876051 | 894150 | 892155 | 69 | |
Purchased steam and heat energy consumption | GJ | 51149 | 54670 | 52540 | 69 | |
Renewable energy consumption | GJ | 1251 | 1478 | 1263 | 69 | |
Sand used | tonnes | 915.53 | 466.47 | 1073.64 | 69 | |
Solar power generated at Chengdu IFS in 2024 | kWh | 13359 | 36 | |||
Total energy consumption | GJ | 1157623 | 1147153 | 1140267 | 69 | |
Town gas energy consumption | GJ | 2154 | 2497 | 1623 | 69 | |
Unleaded petrol energy consumption | GJ | 8430 | 9124 | 8267 | 69 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Captured rainwater consumption | m³ | 8464 | 8795 | 5187 | 69 |
Mainsfed water consumption | m³ | 2267350 | 2159281 | 1759853 | 69 |
Paper used | tonnes | 642.78 | 584.91 | 600.53 | 69 |
Recycled water consumption | m³ | 7841 | 7134 | 1578 | 69 |
Total water consumption | m³ | 2348296 | 2254608 | 1817702 | 69 |
Underground water consumption | m³ | 74641 | 79398 | 51084 | 69 |
Water consumption per HK$ million revenues | HK$ million | 124.96 | 185.02 | 106.64 | 69 |
Water consumption per number of employee | m³/no. | 450.17 | 404.68 | 351.44 | 69 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2030 | 2050 | Report Pages |
---|---|---|---|---|
Change in electricity cost, Brown Scenario, 2030 | ↑ 11–14% | 33 | ||
Change in electricity cost, Brown Scenario, 2050 | ↓ 1%–1% | 33 | ||
Change in electricity cost, Turquoise Scenario, 2030 | ↑ 15–22% | 33 | ||
Change in electricity cost, Turquoise Scenario, 2050 | ↓ 19%–20% | 33 |
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 | 2017 | Report Pages |
---|---|---|---|
Water management | Reduce consumption | 27 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Metal used | tonnes | 4.79 | 1.32 | 6.74 | 69 |
Plastics used | tonnes | 6.75 | 10.36 | 6.79 | 69 |
Reinforced steel bars used | tonnes | 2105.19 | 2465.25 | 2764.3 | 69 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Steel used | tonnes | 4205.61 | 6518.62 | 5132.74 | 69 |
Stones used | tonnes | 218.81 | 21.64 | 38.9 | 69 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Indicator | Unit | 2030 | 2050 | 2100 | Report Pages |
---|---|---|---|---|---|
Physical Climate Risks Assessment Result under Brown Scenario: Drought Risk Hong Kong | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Drought Risk Mainland China | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Drought Risk Philippines | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Extreme Heat Risk Hong Kong | Medium Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Extreme Heat Risk Mainland China | Medium Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Extreme Heat Risk Philippines | Medium Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Landslide Risk Hong Kong | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Landslide Risk Mainland China | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Landslide Risk Philippines | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Rainfall Flood Risk Hong Kong | High Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Rainfall Flood Risk Mainland China | High Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Rainfall Flood Risk Philippines | High Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: River Flood Risk Hong Kong | Low Risk | Low Risk | Low Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: River Flood Risk Mainland China | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: River Flood Risk Philippines | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Sea Level Rise Risk Hong Kong | Medium Risk | High Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Sea Level Rise Risk Mainland China | Medium Risk | High Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Sea Level Rise Risk Philippines | Medium Risk | High Risk | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Snow Melt Risk Hong Kong | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Snow Melt Risk Mainland China | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Snow Melt Risk Philippines | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Storm Surge Risk Hong Kong | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Storm Surge Risk Mainland China | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Storm Surge Risk Philippines | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Typhoon Risk Hong Kong | High Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Typhoon Risk Mainland China | High Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Typhoon Risk Philippines | High Risk | High Risk | High Risk | 30 | |
Physical Climate Risks Assessment Result under Brown Scenario: Wildfire Risk Hong Kong | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Wildfire Risk Mainland China | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Brown Scenario: Wildfire Risk Philippines | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Drought Risk Hong Kong | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Drought Risk Mainland China | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Drought Risk Philippines | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Extreme Heat Risk Hong Kong | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Extreme Heat Risk Mainland China | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Extreme Heat Risk Philippines | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Landslide Risk Hong Kong | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Landslide Risk Mainland China | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Landslide Risk Philippines | Low Risk | Low Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Rainfall Flood Risk Hong Kong | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Rainfall Flood Risk Mainland China | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Rainfall Flood Risk Philippines | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: River Flood Risk Hong Kong | Low Risk | Low Risk | Low Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: River Flood Risk Mainland China | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: River Flood Risk Philippines | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Sea Level Rise Risk Hong Kong | Low Risk | Medium Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Sea Level Rise Risk Mainland China | Low Risk | Medium Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Sea Level Rise Risk Philippines | Low Risk | Medium Risk | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Snow Melt Risk Hong Kong | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Snow Melt Risk Mainland China | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Snow Melt Risk Philippines | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Storm Surge Risk Hong Kong | Low Risk | Low Risk | Low Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Storm Surge Risk Mainland China | Low Risk | Low Risk | Low Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Storm Surge Risk Philippines | Low Risk | Low Risk | Low Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Typhoon Risk Hong Kong | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Typhoon Risk Mainland China | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Typhoon Risk Philippines | Medium Risk | Medium Risk | Medium Risk | 30 | |
Physical Climate Risks Assessment Result under Turquoise Scenario: Wildfire Risk Hong Kong | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Wildfire Risk Mainland China | Insignificant | Insignificant | 30 | ||
Physical Climate Risks Assessment Result under Turquoise Scenario: Wildfire Risk Philippines | Insignificant | Insignificant | 30 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Age distribution, General Staff, 30–50 | % | 60 | 47 | ||
Age distribution, General Staff, 51 or above | % | 25 | 47 | ||
Age distribution, General Staff, Below 30 | % | 15 | 47 | ||
Age distribution, Middle Management, 30–50 | % | 77 | 47 | ||
Age distribution, Middle Management, 51 or above | % | 21 | 47 | ||
Age distribution, Middle Management, Below 30 | % | 2 | 47 | ||
Age distribution, Senior Management, 30–50 | % | 51 | 47 | ||
Age distribution, Senior Management, 51 or above | % | 49 | 47 | ||
Employees treated by gender, age group and employee category in percentage - 30–50 (Hong Kong) | % | N/A | 92.6 | 93.3 | 74 |
Employees treated by gender, age group and employee category in percentage - 30–50 (Mainland China) | % | N/A | 99.6 | 98.6 | 74 |
Employees treated by gender, age group and employee category in percentage - 30–50 (Total) | % | N/A | 96 | 94.9 | 74 |
Employees treated by gender, age group and employee category in percentage - 51 or above (Hong Kong) | % | N/A | 76.1 | 87.1 | 74 |
Employees treated by gender, age group and employee category in percentage - 51 or above (Mainland China) | % | N/A | 93.4 | 94.3 | 74 |
Employees treated by gender, age group and employee category in percentage - 51 or above (Total) | % | N/A | 86 | 91.9 | 74 |
Employees treated by gender, age group and employee category in percentage - Below 30 (Hong Kong) | % | N/A | 95 | 94.1 | 74 |
Employees treated by gender, age group and employee category in percentage - Below 30 (Mainland China) | % | N/A | 99.5 | 98 | 74 |
Employees treated by gender, age group and employee category in percentage - Below 30 (Total) | % | 98.6 | 96.9 | 96 | 74 |
Employees treated by gender, age group and employee category in percentage - Female (Hong Kong) | % | 72.9 | 90.4 | 96.3 | 74 |
Employees treated by gender, age group and employee category in percentage - Female (Mainland China) | % | 94.9 | 99 | 98.5 | 74 |
Employees treated by gender, age group and employee category in percentage - Female (Total) | % | 92.1 | 97.1 | 96.9 | 74 |
Employees treated by gender, age group and employee category in percentage - General staff (Hong Kong) | % | 80.2 | 85.6 | 96.7 | 74 |
Employees treated by gender, age group and employee category in percentage - General staff (Mainland China) | % | 95.9 | 98.9 | 96.7 | 74 |
Employees treated by gender, age group and employee category in percentage - General staff (Total) | % | 92.4 | 95.7 | 96.7 | 74 |
Employees treated by gender, age group and employee category in percentage - Group overall (Hong Kong) | % | 81.2 | 87.8 | 92.6 | 74 |
Employees treated by gender, age group and employee category in percentage - Group overall (Mainland China) | % | 96.2 | 98.6 | 96.6 | 74 |
Employees treated by gender, age group and employee category in percentage - Group overall (Total) | % | 91.7 | 95.5 | 95.7 | 74 |
Employees treated by gender, age group and employee category in percentage - Male (Hong Kong) | % | 81.9 | 86.6 | 91.1 | 74 |
Employees treated by gender, age group and employee category in percentage - Male (Mainland China) | % | 96.3 | 98.2 | 96.7 | 74 |
Employees treated by gender, age group and employee category in percentage - Male (Total) | % | 91.3 | 94.2 | 95.1 | 74 |
Employees treated by gender, age group and employee category in percentage - Middle management (Hong Kong) | % | 81.9 | 93.4 | 96.7 | 74 |
Employees treated by gender, age group and employee category in percentage - Middle management (Mainland China) | % | 92.9 | 96.7 | 98.3 | 74 |
Employees treated by gender, age group and employee category in percentage - Middle management (Total) | % | 92.4 | 95.7 | 96.7 | 74 |
Employees treated by gender, age group and employee category in percentage - Senior management (Hong Kong) | % | 94.5 | 94.1 | 91.8 | 74 |
Employees treated by gender, age group and employee category in percentage - Senior management (Mainland China) | % | 89.1 | 94.1 | 97 | 74 |
Employees treated by gender, age group and employee category in percentage - Senior management (Total) | % | 98.7 | 96 | 94.5 | 74 |
Gender distribution of permanent contract employees - Female (Hong Kong) | 325 | 329 | 331 | 71 | |
Gender distribution of permanent contract employees - Female (Mainland China) | 351 | 450 | 658 | 71 | |
Gender distribution of permanent contract employees - Female (Total) | 676 | 919 | 989 | 71 | |
Gender distribution of permanent contract employees - Male (Hong Kong) | 862 | 816 | 772 | 71 | |
Gender distribution of permanent contract employees - Male (Mainland China) | 530 | 626 | 812 | 71 | |
Gender distribution of permanent contract employees - Male (Total) | 1392 | 1716 | 1584 | 71 | |
Gender distribution, General Staff, Female | % | 47 | 47 | ||
Gender distribution, General Staff, Male | % | 53 | 47 | ||
Gender distribution, Middle Management, Female | % | 43 | 47 | ||
Gender distribution, Middle Management, Male | % | 57 | 47 | ||
Gender distribution, Senior Management, Female | % | 35 | 47 | ||
Gender distribution, Senior Management, Male | % | 65 | 47 | ||
Group Mean Gender Pay Ratio - Male:Female (Total) | 1.39:1 | 1.40:1 | 1.46:1 | 74 | |
New employee hires, 30–50, Hong Kong | (8%) | 57 | 72 | ||
New employee hires, 30–50, Mainland China | (12%) | 337 | 72 | ||
New employee hires, 30–50, Total | (14%) | 394 | 72 | ||
New employee hires, 51 or above, Hong Kong | (2%) | 6 | 72 | ||
New employee hires, 51 or above, Mainland China | (9%) | 39 | 72 | ||
New employee hires, 51 or above, Total | (2%) | 55 | 72 | ||
New employee hires, Below 30, Hong Kong | (32%) | 34 | 72 | ||
New employee hires, Below 30, Mainland China | (18%) | 396 | 72 | ||
New employee hires, Below 30, Total | (16%) | 430 | 72 | ||
New employee hires, Female, Hong Kong | (13%) | 46 | 72 | ||
New employee hires, Female, Mainland China | (18%) | 407 | 72 | ||
New employee hires, Female, Total | (16%) | 439 | 72 | ||
New employee hires, General staff, Hong Kong | (9%) | 73 | 72 | ||
New employee hires, General staff, Mainland China | (18%) | 695 | 72 | ||
New employee hires, General staff, Total | (16%) | 768 | 72 | ||
New employee hires, Group overall, Hong Kong | (8%) | 97 | 72 | ||
New employee hires, Group overall, Mainland China | (18%) | 782 | 72 | ||
New employee hires, Group overall, Total | (16%) | 879 | 72 | ||
New employee hires, Male, Hong Kong | (6%) | 51 | 72 | ||
New employee hires, Male, Mainland China | (18%) | 375 | 72 | ||
New employee hires, Male, Total | (16%) | 426 | 72 | ||
New employee hires, Middle management, Hong Kong | (8%) | 23 | 72 | ||
New employee hires, Middle management, Mainland China | (16%) | 63 | 72 | ||
New employee hires, Middle management, Total | (12%) | 86 | 72 | ||
New employee hires, Senior management, Hong Kong | (6%) | 2 | 72 | ||
New employee hires, Senior management, Mainland China | (16%) | 42 | 72 | ||
New employee hires, Senior management, Total | (2%) | 25 | 72 | ||
Region distribution of full-time employees, Full-time, Hong Kong | employees | 4352 | 47 | ||
Region distribution of full-time employees, Full-time, Mainland China | employees | 1194 | 47 | ||
Total workforce by contract type, Fixed-term, Female | employees | 1584 | 47 | ||
Total workforce by contract type, Fixed-term, Hong Kong | employees | 74 | 47 | ||
Total workforce by contract type, Fixed-term, Mainland China | employees | 18 | 47 | ||
Total workforce by contract type, Fixed-term, Male | employees | 7 | 47 | ||
Total workforce by contract type, Permanent, Female | employees | 989 | 47 | ||
Total workforce by contract type, Permanent, Hong Kong | employees | 1103 | 47 | ||
Total workforce by contract type, Permanent, Mainland China | employees | 1470 | 47 | ||
Total workforce by contract type, Permanent, Male | employees | 1570 | 47 | ||
Total workforce by contract type, Temporary, Female | employees | 1369 | 47 | ||
Total workforce by contract type, Temporary, Hong Kong | employees | 9 | 47 | ||
Total workforce by contract type, Temporary, Mainland China | employees | 2865 | 47 | ||
Total workforce by contract type, Temporary, Male | employees | 20 | 47 | ||
Total workforce by gender, employment type and contract type - Female (Hong Kong) | 329 | 344 | 348 | 71 | |
Total workforce by gender, employment type and contract type - Female (Mainland China) | 1828 | 1900 | 2138 | 71 | |
Total workforce by gender, employment type and contract type - Female (Total) | 2227 | 2444 | 2966 | 71 | |
Total workforce by gender, employment type and contract type - Fixed-term (Hong Kong) | 98 | 76 | 74 | 71 | |
Total workforce by gender, employment type and contract type - Fixed-term (Mainland China) | 2974 | 2836 | 2865 | 71 | |
Total workforce by gender, employment type and contract type - Fixed-term (Total) | 3077 | 524 | 2939 | 71 | |
Total workforce by gender, employment type and contract type - Full-time (Hong Kong) | 1289 | 1228 | 1146 | 71 | |
Total workforce by gender, employment type and contract type - Full-time (Mainland China) | 3822 | 3207 | 4352 | 71 | |
Total workforce by gender, employment type and contract type - Full-time (Total) | 5111 | 5569 | 5366 | 71 | |
Total workforce by gender, employment type and contract type - Group overall (Hong Kong) | 1291 | 1230 | 1186 | 71 | |
Total workforce by gender, employment type and contract type - Group overall (Mainland China) | 3882 | 3927 | 4533 | 71 | |
Total workforce by gender, employment type and contract type - Group overall (Total) | 5173 | 5571 | 5539 | 71 | |
Total workforce by gender, employment type and contract type - Male (Hong Kong) | 949 | 886 | 838 | 71 | |
Total workforce by gender, employment type and contract type - Male (Mainland China) | 1997 | 1967 | 2135 | 71 | |
Total workforce by gender, employment type and contract type - Male (Total) | 2546 | 3127 | 2973 | 71 | |
Total workforce by gender, employment type and contract type - Part-time (Hong Kong) | 2 | 2 | 1 | 71 | |
Total workforce by gender, employment type and contract type - Part-time (Mainland China) | 1 | 71 | |||
Total workforce by gender, employment type and contract type - Part-time (Total) | 2 | 2 | 53 | 71 | |
Total workforce by gender, employment type and contract type - Permanent (Hong Kong) | 1187 | 1145 | 1403 | 71 | |
Total workforce by gender, employment type and contract type - Permanent (Mainland China) | 981 | 1076 | 1470 | 71 | |
Total workforce by gender, employment type and contract type - Permanent (Total) | 5068 | 5625 | 5373 | 71 | |
Total workforce by gender, employment type and contract type - Temporary (Hong Kong) | 9 | 9 | 9 | 71 | |
Total workforce by gender, employment type and contract type - Temporary (Mainland China) | 15 | 18 | 8 | 71 | |
Total workforce by gender, employment type and contract type - Temporary (Total) | 28 | 54 | 27 | 71 | |
Total workforce, Full-time, Female | employees | 2970 | 47 | ||
Total workforce, Full-time, Male | employees | 2566 | 47 | ||
Total workforce, Part-time, Male | employees | 3 | 47 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Absentee rate by gender and by region in percentage - Group overall - Hong Kong | 3.67% | 2.70% | 2.66% | 73 | |
Absentee rate by gender and by region in percentage - Group overall - Mainland China | 1.08% | 0.77% | 0.92% | 73 | |
Absentee rate by gender and by region in percentage - Group overall - Total | 1.78% | 1.27% | 1.33% | 73 | |
Absentee rate by gender and by region in percentage - Male - Hong Kong | 3.88% | 2.71% | 2.75% | 73 | |
Absentee rate by gender and by region in percentage - Male - Mainland China | 0.39% | 0.56% | 0.62% | 73 | |
Absentee rate by gender and by region in percentage - Male - Total | 2.20% | 1.31% | 1.42% | 73 | |
Employee turnover, 30–50, Hong Kong | (7%) | 53 | 72 | ||
Employee turnover, 30–50, Mainland China | (13%) | 363 | 72 | ||
Employee turnover, 30–50, Total | (14%) | 414 | 72 | ||
Employee turnover, 51 or above, Hong Kong | (13%) | 53 | 72 | ||
Employee turnover, 51 or above, Mainland China | (13%) | 103 | 72 | ||
Employee turnover, 51 or above, Total | (14%) | 123 | 72 | ||
Employee turnover, Below 30, Hong Kong | (9%) | 14 | 72 | ||
Employee turnover, Below 30, Mainland China | (25%) | 269 | 72 | ||
Employee turnover, Below 30, Total | (24%) | 283 | 72 | ||
Employee turnover, Female, Hong Kong | (9%) | 31 | 72 | ||
Employee turnover, Female, Mainland China | (16%) | 350 | 72 | ||
Employee turnover, Female, Total | (14%) | 381 | 72 | ||
Employee turnover, General staff, Hong Kong | (12%) | 59 | 72 | ||
Employee turnover, General staff, Mainland China | (16%) | 620 | 72 | ||
Employee turnover, General staff, Total | (15%) | 719 | 72 | ||
Employee turnover, Group overall, Hong Kong | (10%) | 120 | 72 | ||
Employee turnover, Group overall, Mainland China | (16%) | 700 | 72 | ||
Employee turnover, Group overall, Total | (15%) | 820 | 72 | ||
Employee turnover, Male, Hong Kong | (11%) | 89 | 72 | ||
Employee turnover, Male, Mainland China | (16%) | 350 | 72 | ||
Employee turnover, Male, Total | (15%) | 393 | 72 | ||
Employee turnover, Middle management, Hong Kong | (9%) | 29 | 72 | ||
Employee turnover, Middle management, Mainland China | (15%) | 57 | 72 | ||
Employee turnover, Middle management, Total | (13%) | 86 | 72 | ||
Employee turnover, Senior management, Hong Kong | (14%) | 2 | 72 | ||
Employee turnover, Senior management, Mainland China | (14%) | 13 | 72 | ||
Employee turnover, Senior management, Total | (13%) | 15 | 72 | ||
Employee voluntary turnover, 30–50, Hong Kong | (7%) | 46 | 72 | ||
Employee voluntary turnover, 30–50, Mainland China | (9%) | 240 | 72 | ||
Employee voluntary turnover, 30–50, Total | (10%) | 286 | 72 | ||
Employee voluntary turnover, 51 or above, Hong Kong | (9%) | 7 | 72 | ||
Employee voluntary turnover, 51 or above, Mainland China | (9%) | 43 | 72 | ||
Employee voluntary turnover, 51 or above, Total | (5%) | 41 | 72 | ||
Employee voluntary turnover, Below 30, Hong Kong | (12%) | 13 | 72 | ||
Employee voluntary turnover, Below 30, Mainland China | (23%) | 245 | 72 | ||
Employee voluntary turnover, Below 30, Total | (22%) | 258 | 72 | ||
Employee voluntary turnover, Female, Hong Kong | (7%) | 26 | 72 | ||
Employee voluntary turnover, Female, Mainland China | (12%) | 262 | 72 | ||
Employee voluntary turnover, Female, Total | (11%) | 288 | 72 | ||
Employee voluntary turnover, General staff, Hong Kong | (10%) | 47 | 72 | ||
Employee voluntary turnover, General staff, Mainland China | (12%) | 485 | 72 | ||
Employee voluntary turnover, General staff, Total | (11%) | 512 | 72 | ||
Employee voluntary turnover, Group overall, Hong Kong | (6%) | 71 | 72 | ||
Employee voluntary turnover, Group overall, Mainland China | (12%) | 514 | 72 | ||
Employee voluntary turnover, Group overall, Total | (11%) | 585 | 72 | ||
Employee voluntary turnover, Male, Hong Kong | (6%) | 45 | 72 | ||
Employee voluntary turnover, Male, Mainland China | (12%) | 252 | 72 | ||
Employee voluntary turnover, Male, Total | (10%) | 297 | 72 | ||
Employee voluntary turnover, Middle management, Hong Kong | (6%) | 22 | 72 | ||
Employee voluntary turnover, Middle management, Mainland China | (10%) | 39 | 72 | ||
Employee voluntary turnover, Middle management, Total | (18%) | 61 | 72 | ||
Employee voluntary turnover, Senior management, Hong Kong | (14%) | 2 | 72 | ||
Employee voluntary turnover, Senior management, Mainland China | (15%) | 19 | 72 | ||
Employee voluntary turnover, Senior management, Total | (18%) | 21 | 72 | ||
Retention rate by gender, Female | 89% | 72 | |||
Retention rate by gender, Female, Hong Kong | 89% | 72 | |||
Retention rate by gender, Male | 96% | 72 | |||
Retention rate by gender, Male, Hong Kong | 95% | 72 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Injury incident rate by gender and by region - Female - Hong Kong | 0.3 | 0.9 | 0.6 | 73 | |
Injury incident rate by gender and by region - Female - Mainland China | 1.4 | 1.1 | 1.9 | 73 | |
Injury incident rate by gender and by region - Female - Total | 0.9 | 0.6 | 0.6 | 73 | |
Injury incident rate by gender and by region - Group overall - Hong Kong | 0.9 | 1.3 | 1 | 73 | |
Injury incident rate by gender and by region - Group overall - Mainland China | 1.3 | 1.3 | 1.8 | 73 | |
Injury incident rate by gender and by region - Group overall - Total | 1.2 | 1.4 | 1.6 | 73 | |
Injury incident rate by gender and by region - Male - Hong Kong | 1.1 | 1.5 | 1.2 | 73 | |
Injury incident rate by gender and by region - Male - Mainland China | 1.3 | 1.6 | 1.6 | 73 | |
Injury incident rate by gender and by region - Male - Total | 1.2 | 1.6 | 1.5 | 73 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Absentee rate by gender and by region in percentage - Female - Hong Kong | 2.99% | 2.59% | 2.41% | 73 | |
Absentee rate by gender and by region in percentage - Female - Mainland China | 1.16% | 0.98% | 1.03% | 73 | |
Absentee rate by gender and by region in percentage - Female - Total | 1.42% | 1.21% | 1.23% | 73 | |
Lost day rate by gender and by region in percentage - Female - Hong Kong | 0.00% | 0.02% | 73 | ||
Lost day rate by gender and by region in percentage - Female - Mainland China | 0.12% | 0.08% | 73 | ||
Lost day rate by gender and by region in percentage - Female - Total | 0.01% | 0.07% | 73 | ||
Lost day rate by gender and by region in percentage - Group overall - Hong Kong | 0.20% | 0.22% | 0.24% | 73 | |
Lost day rate by gender and by region in percentage - Group overall - Mainland China | 0.09% | 0.13% | 0.10% | 73 | |
Lost day rate by gender and by region in percentage - Group overall - Total | 0.14% | 0.17% | 0.14% | 73 | |
Lost day rate by gender and by region in percentage - Male - Hong Kong | 0.38% | 0.35% | 0.33% | 73 | |
Lost day rate by gender and by region in percentage - Male - Mainland China | 0.09% | 0.14% | 0.13% | 73 | |
Lost day rate by gender and by region in percentage - Male - Total | 0.20% | 0.21% | 0.19% | 73 | |
Lost time injury rate (LTIR) by gender and by region - Female - Hong Kong | 0.9 | 0.6 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Female - Mainland China | 1.3 | 2.3 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Female - Total | 1.2 | 2 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Group overall - Hong Kong | 1.2 | 0.9 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Group overall - Mainland China | 1.5 | 2.1 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Group overall - Total | 1.5 | 1.8 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Male - Hong Kong | 1.3 | 1.1 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Male - Mainland China | 1.7 | 1.9 | 73 | ||
Lost time injury rate (LTIR) by gender and by region - Male - Total | 1.7 | 1.6 | 73 | ||
Number of lost days due to work injury by gender and by region - Female - Hong Kong | 13 | 8 | 73 | ||
Number of lost days due to work injury by gender and by region - Female - Mainland China | 332 | 553 | 585 | 73 | |
Number of lost days due to work injury by gender and by region - Female - Total | 334 | 574 | 393 | 73 | |
Number of lost days due to work injury by gender and by region - Group overall - Hong Kong | 953 | 913 | 729 | 73 | |
Number of lost days due to work injury by gender and by region - Group overall - Mainland China | 732 | 1194 | 1028 | 73 | |
Number of lost days due to work injury by gender and by region - Group overall - Total | 1685 | 2140 | 1757 | 73 | |
Number of lost days due to work injury by gender and by region - Male - Hong Kong | 951 | 900 | 721 | 73 | |
Number of lost days due to work injury by gender and by region - Male - Mainland China | 400 | 661 | 643 | 73 | |
Number of lost days due to work injury by gender and by region - Male - Total | 1351 | 1566 | 1964 | 73 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Return to work rate, Group overall | 98% | 72 | |
Return to work rate, Group overall, Hong Kong | 100% | 72 | |
Return to work rate, Group overall, Mainland China | 97% | 72 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Employee engagement survey - % of employees participated (Hong Kong) | % | N/A | 84 | 78 | 74 |
Employee engagement survey - % of employees participated (Mainland China) | % | 98 | 99 | 97 | 74 |
Employee engagement survey - % of employees participated (Total) | % | 98 | 96 | 96 | 74 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Average training hours completed per employee - Group overall - Hong Kong | 18.4 | 19.6 | 22.2 | 73 | |
Average training hours completed per employee - Group overall - Mainland China | 30.2 | 33.8 | 31.2 | 73 | |
Average training hours completed per employee - Group overall - Total | 27.2 | 28.6 | 29.2 | 73 | |
Average training hours completed per employee by age group - 30–50 - Hong Kong | 20.1 | 21.5 | 23.6 | 73 | |
Average training hours completed per employee by age group - 30–50 - Mainland China | 24.6 | 27.2 | 25.7 | 73 | |
Average training hours completed per employee by age group - 30–50 - Total | 25.3 | 24.3 | 25.7 | 73 | |
Average training hours completed per employee by age group - 51 or above - Hong Kong | 7.7 | 9.6 | 13.5 | 73 | |
Average training hours completed per employee by age group - 51 or above - Mainland China | 24.3 | 22.5 | 21.5 | 73 | |
Average training hours completed per employee by age group - 51 or above - Total | 15 | 16.8 | 18.3 | 73 | |
Average training hours completed per employee by age group - Below 30 - Hong Kong | 41.6 | 39.4 | 33.9 | 73 | |
Average training hours completed per employee by age group - Below 30 - Mainland China | 46.1 | 55 | 45.2 | 73 | |
Average training hours completed per employee by age group - Below 30 - Total | 46.5 | 49.4 | 47.9 | 73 | |
Average training hours completed per employee by employee category - General staff - Hong Kong | 19.8 | 20 | 25.5 | 73 | |
Average training hours completed per employee by employee category - General staff - Mainland China | 31.8 | 34.6 | 31.9 | 73 | |
Average training hours completed per employee by employee category - General staff - Total | 28.6 | 30 | 30.8 | 73 | |
Average training hours completed per employee by employee category - Middle management - Hong Kong | 15.9 | 19 | 16.9 | 73 | |
Average training hours completed per employee by employee category - Middle management - Mainland China | 24 | 25.5 | 25.4 | 73 | |
Average training hours completed per employee by employee category - Middle management - Total | 19.6 | 21.5 | 21.6 | 73 | |
Average training hours completed per employee by employee category - Senior management - Hong Kong | 11 | 15.7 | 9 | 73 | |
Average training hours completed per employee by employee category - Senior management - Mainland China | 24.3 | 16.5 | 20.4 | 73 | |
Average training hours completed per employee by employee category - Senior management - Total | 20 | 15 | 16.6 | 73 | |
Average training hours completed per employee by gender - Female - Hong Kong | 10.2 | 12 | 11.7 | 73 | |
Average training hours completed per employee by gender - Female - Mainland China | 32 | 34.9 | 30.4 | 73 | |
Average training hours completed per employee by gender - Female - Total | 28.6 | 30.1 | 29.6 | 73 | |
Average training hours completed per employee by gender - Male - Hong Kong | 21.3 | 22.5 | 26.5 | 73 | |
Average training hours completed per employee by gender - Male - Mainland China | 28.4 | 32.7 | 29.8 | 73 | |
Average training hours completed per employee by gender - Male - Total | 26.1 | 27.5 | 28.9 | 73 | |
Total training hours by type - Group overall - Hong Kong | 24095 | 26118 | 73 | ||
Total training hours by type - Group overall - Mainland China | 132704 | 135629 | 73 | ||
Total training hours by type - Group overall - Total | 159597 | 161547 | 73 | ||
Total training hours by type - Mandatory - Hong Kong | 10215 | 15651 | 73 | ||
Total training hours by type - Mandatory - Mainland China | 79713 | 80951 | 73 | ||
Total training hours by type - Mandatory - Total | 91710 | 96602 | 73 | ||
Total training hours by type - Non-mandatory - Hong Kong | 13800 | 10667 | 73 | ||
Total training hours by type - Non-mandatory - Mainland China | 52991 | 54678 | 73 | ||
Total training hours by type - Non-mandatory - Total | 67887 | 65945 | 73 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Granite used | tonnes | 17.37 | 14.26 | 36.97 | 69 |
Number of key suppliers for Leisure and Hospitality in Mainland China | 162 | 175 | 51 | ||
Number of key suppliers for Leisure and Hospitality in Other regions | 8 | N/A | 51 | ||
Number of key suppliers for Leisure and Hospitality in The Philippines | 26 | N/A | 51 | ||
Number of key suppliers for Logistics in Hong Kong | 13 | 8 | 51 | ||
Number of key suppliers for MLDP in Mainland China | 45 | 80 | 51 | ||
Number of key suppliers for MLIP in Mainland China | 177 | 204 | 51 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
New suppliers screened by environmental standards | % | 28% | 51 |
New suppliers screened by social standards | % | 27% | 51 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | tonnes | 0.06 | 0.06 | 0.061 |
NOâ‚“ Emissions | tonnes | 1.363 | 1.384 | 1.02 |
SOâ‚“ Emissions | tonnes | 0.014 | 0.021 | 0.02 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 16366 | 16654 | 16961 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 124730 | 138894 | 100898 |
Total GHG Emissions | tonnes CO2e | 236197 | 201823 | 360148 |
Total GHG Emissions Intensity (By Employee) | per employee | 36.23 | 45.65 | 50.23 |
Total GHG Emissions Intensity (By Revenue) | per HK$ million revenues | 41.41 | 41.41 | 41.41 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 96116 | 46275 | 343289 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Hazardous Waste Recycled | tonnes | 767.6 | 792.8 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Glass Waste | tonnes | 29.78 | 39.85 |
Non-Hazardous Waste (Construction Waste) | tonnes | 2571.64 | 6917.82 |
Non-Hazardous Waste (Kitchen Waste) | tonnes | 3177.28 | 3528.7 |
Non-Hazardous Waste Incineration | tonnes | 4347.2 | 4480.3 |
Non-Hazardous Waste Landfilling | tonnes | 9190.4 | 9493.2 |
Non-Hazardous Waste Recycled | tonnes | 2571.64 | 6917.82 |
Paper Waste | tonnes | 359.73 | 377.97 |
Recycling Rate of Non-Hazardous Waste | % | 13.83 | 35.59 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
Plastic Waste Reduction Compared to Last Year | tonnes | -19.99 |
Plastic Waste Reduction Percentage Compared to Last Year | % | 66.65 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Diesel Fuel Consumption | GJ | 6475.11 | 6844.64 | 8846.76 |
Energy Consumption Intensity (By Employee) | GJ/no. | 206.76 | 207.21 | 205.29 |
Energy Consumption Intensity (By Revenue) | HK$ million | 60.79 | 94.74 | 58.79 |
Gasoline Consumption | GJ | 8430 | 9124 | 8267 |
LPG Consumption | GJ | 3240 | 3428 | 2693 |
Natural Gas Consumption | GJ | 2154 | 2497 | 1623 |
Purchased Electricity | GJ | 876051 | 894150 | 892155 |
Purchased Heating | GJ | 51149 | 54670 | 52540 |
Renewable Energy Consumption | GJ | 1251 | 1478 | 1263 |
Total Energy Consumption | GJ | 1157623 | 1147153 | 1140267 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Groundwater Withdrawal | m³ | 74641 | 79398 | 51084 |
Municipal Water Consumption | m³ | 2267350 | 2159281 | 1759853 |
Recycled Water Usage | m³ | 7841 | 7134 | 1578 |
Total Wastewater Discharge | m³ | 2045266 | 2039236 | 1630836 |
Total Water Withdrawal | m³ | 2348296 | 2254608 | 1817702 |
Water Consumption | m³ | 2348296 | 2254608 | 1817702 |
Water Consumption Intensity (By Revenue) | HK$ million | 124.96 | 185.02 | 106.64 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
Electricity Usage Reduction Compared to Last Year | kWh | 392144 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Packaging Material Consumption (Plastic) | tonnes | 6.75 | 10.36 | 6.79 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Employees in Hong Kong | 1291 | 1230 | 1186 | |
Number of Employees in Hong Kong and Mainland China | 5173 | 5571 | 5539 | |
Number of Employees in Mainland China | 3882 | 3927 | 4533 | |
Number of Female Employees | 2227 | 2444 | 2966 | |
Number of Full-time Employees | 5111 | 5569 | 5366 | |
Number of Full-time Employees (Female) | employees | None | None | 2970 |
Number of Full-time Employees (Male) | employees | None | None | 2566 |
Number of Male Employees | 2546 | 3127 | 2973 | |
Number of Part-time Employees | 2 | 2 | 53 | |
Number of Part-time Employees (Male) | employees | 3 | ||
Number of Temporary Workers | 28 | 54 | 27 | |
Number of Total Employees | 5173 | 5571 | 5539 | |
Percentage of Female Employees | % | 43.1 | 43.9 | 53.6 |
Percentage of Full-time Employees | % | 98.8 | 100 | 96.9 |
Percentage of Male Employees | % | 49.2 | 56.2 | 53.7 |
Percentage of Part-time Employees | % | 0.04 | 0.04 | 1 |
Percentage of Temporary Workers | % | 0.5 | 1 | 0.5 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 14 |
Turnover Rate of Employees Aged Above 50 | % | 14 |
Turnover Rate of Employees Aged Below 30 | % | 24 |
Turnover Rate of Employees in Hong Kong | % | 10 |
Turnover Rate of Employees in Hong Kong and Mainland China | % | 15 |
Turnover Rate of Employees in Mainland China | % | 16 |
Turnover Rate of Female Employees | % | 14 |
Turnover Rate of General Employees | % | 15 |
Turnover Rate of Male Employees | % | 15 |
Turnover Rate of Middle Management Employees | % | 13 |
Turnover Rate of Senior Management Employees | % | 13 |
Turnover Rate of Total Employees | % | 15 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 1685 | 2140 | 1757 |
Lost Days Due to Work-related Injuries (Hong Kong) | days | 953 | 913 | 729 |
Lost Days Due to Work-related Injuries (Mainland China) | days | 732 | 1194 | 1028 |
Lost Time Injury Frequency Rate (Hong Kong) | 1.2 | 0.9 | ||
Lost Time Injury Frequency Rate (LTIFR/LTIR) | 1.5 | 1.8 | ||
Lost Time Injury Frequency Rate (Mainland China) | 1.5 | 2.1 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Percentage of Trained Hong Kong Employees | % | None | 84 | 78 |
Percentage of Trained Mainland China Employees | % | 98 | 99 | 97 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Average Training Hours (Employees Aged 30-50) | hours | 25.3 | 24.3 | 25.7 |
Average Training Hours (Employees Over 50) | hours | 15 | 16.8 | 18.3 |
Average Training Hours (Employees Under 30) | hours | 46.5 | 49.4 | 47.9 |
Average Training Hours (Female) | hours | 28.6 | 30.1 | 29.6 |
Average Training Hours (General Staff) | hours | 28.6 | 30 | 30.8 |
Average Training Hours (Hong Kong Employees) | hours | 18.4 | 19.6 | 22.2 |
Average Training Hours (Mainland China Employees) | hours | 30.2 | 33.8 | 31.2 |
Average Training Hours (Male) | hours | 26.1 | 27.5 | 28.9 |
Average Training Hours (Middle Management) | hours | 19.6 | 21.5 | 21.6 |
Average Training Hours (Senior Management) | hours | 20 | 15 | 16.6 |
Average Training Hours per Employee | hours | 27.2 | 28.6 | 29.2 |
Total Training Hours | hours | None | 159597 | 161547 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Suppliers in Hong Kong | 13 | 8 | |
Number of Suppliers in Mainland China | 384 | 459 | |
Number of Suppliers in Overseas | 34 |