Sustainability Report 2023
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 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
2023 KPI - Embodied carbon intensity reduction for Shouson Hill Road project, Hong Kong (compared to typical practice in equivalent building) | % | 10 | 43 | |||||||
2023 KPI: Cumulative reduction in GHG intensity (relative to 2018) | % | 30 | 42 | |||||||
Absolute Scope 3 GHG emissions | tCO2e | 824002 | 13 | |||||||
Approximate carbon dioxide emissions avoided by Westlake 66 (Hangzhou, mainland China) construction site since July 1, 2022 | tonnes | 1790 | 96 | |||||||
Breakdown of Carbon Emissions by Scope 1 (percentage of total emissions) | % | 0.4 | 42 | |||||||
Breakdown of Carbon Emissions by Scope 2 (percentage of total emissions) | % | 16.2 | 42 | |||||||
Breakdown of Carbon Emissions by Scope 3 (percentage of total emissions) | % | 83.4 | 42 | |||||||
Building operation emission (Scope 1), Hong Kong | Tonnes CO2e | 209 | 0.6 | 514 | 136 | |||||
Building operation emission (Scope 1), Mainland China | Tonnes CO2e | 2272 | 3791 | 3319 | 136 | |||||
Building operation emission (Scope 1), Total | Tonnes CO2e | 2481 | 3792 | 3833 | 136 | |||||
Building operation emissions (HK) | Tonnes CO2e | 39980 | 38585 | 38190 | 137 | |||||
Building operation emissions (MC) | Tonnes CO2e | 134008 | 145468 | 147807 | 137 | |||||
Building operation emissions (Total) | Tonnes CO2e | 173988 | 184053 | 185997 | 137 | |||||
Business travel (Cat 6) (HK) | Tonnes CO2e | 51 | 218 | 937 | 137 | |||||
Business travel (Cat 6) (MC) | Tonnes CO2e | 208 | 224 | 942 | 137 | |||||
Business travel (Cat 6) (Total) | Tonnes CO2e | 259 | 442 | 1879 | 137 | |||||
Carbon emission intensity (Scope 1 and 2) - building operations only, location-based, Hong Kong | Tonnes CO2e/m²/year | 0.0556 | 0.0534 | 0.0536 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - building operations only, location-based, Mainland China | Tonnes CO2e/m²/year | 0.0438 | 0.0412 | 0.0417 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - building operations only, location-based, Total | Tonnes CO2e/m²/year | 0.0460 | 0.0432 | 0.0437 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - building operations only, market-based, Hong Kong | Tonnes CO2e/m²/year | 0.0556 | 0.0534 | 0.0536 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - building operations only, market-based, Mainland China | Tonnes CO2e/m²/year | 0.0438 | 0.0370 | 0.0346 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - building operations only, market-based, Total | Tonnes CO2e/m²/year | 0.0460 | 0.0397 | 0.0377 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - location-based, Hong Kong | kg CO2e/m²/year | 55.6 | 53.4 | 53.7 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - location-based, Mainland China | kg CO2e/m²/year | 43.8 | 41.2 | 41.7 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - location-based, Total | kg CO2e/m²/year | 46.0 | 43.2 | 43.7 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - market-based, Hong Kong | kg CO2e/m²/year | 55.6 | 53.4 | 53.7 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - market-based, Mainland China | kg CO2e/m²/year | 43.8 | 37.0 | 34.6 | 136 | |||||
Carbon emission intensity (Scope 1 and 2) - market-based, Total | kg CO2e/m²/year | 46.0 | 39.7 | 37.8 | 136 | |||||
Company vehicles and vessels emission (Scope 1), Hong Kong | Tonnes CO2e | 46 | 50.6 | 61 | 136 | |||||
Company vehicles and vessels emission (Scope 1), Mainland China | Tonnes CO2e | 109 | 99 | 140 | 136 | |||||
Company vehicles and vessels emission (Scope 1), Total | Tonnes CO2e | 155 | 150 | 201 | 136 | |||||
Downstream leased assets (Cat 13) (HK) | Tonnes CO2e | 41058 | 43293 | 49657 | 137 | |||||
Downstream leased assets (Cat 13) (MC) | Tonnes CO2e | 89202 | 85732 | 105444 | 137 | |||||
Downstream leased assets (Cat 13) (Total) | Tonnes CO2e | 130260 | 129025 | 155101 | 137 | |||||
Embodied carbon emissions share from Aluminum in building materials | % | 26.81 | 46 | |||||||
Embodied carbon emissions share from Cement and concrete bricks in building materials | % | 10.65 | 46 | |||||||
Embodied carbon emissions share from Concrete in building materials | % | 14.28 | 46 | |||||||
Embodied carbon emissions share from Glass in building materials | % | 0.13 | 46 | |||||||
Embodied carbon emissions share from Gypsum in building materials | % | 0.09 | 46 | |||||||
Embodied carbon emissions share from Others in building materials | % | 7.73 | 46 | |||||||
Embodied carbon emissions share from Steel in building materials | % | 39.63 | 46 | |||||||
Embodied carbon emissions share from Timber in building materials | % | 0.68 | 46 | |||||||
Employee commuting (Cat 7) (HK) | Tonnes CO2e | 512 | 455 | 472 | 137 | |||||
Employee commuting (Cat 7) (MC) | Tonnes CO2e | 1129 | 1061 | 1123 | 137 | |||||
Employee commuting (Cat 7) (Total) | Tonnes CO2e | 1641 | 1516 | 1595 | 137 | |||||
Fuel and energy related activities (Cat 3) (HK) | Tonnes CO2e | 1536 | 1409 | 10937 | 137 | |||||
Fuel and energy related activities (Cat 3) (MC) | Tonnes CO2e | 14393 | 15118 | 30473 | 137 | |||||
Fuel and energy related activities (Cat 3) (Total) | Tonnes CO2e | 15929 | 16527 | 41410 | 137 | |||||
GHG Emission Intensity (tCO2e/m²) - Actual | tCO2e/m² | 0.065 | 0.058 | 0.050 | 0.045 | 0.040 | 0.038 | 43 | ||
GHG Intensity (Tenants) (kgCO2e/m²) - reduction from tenants' electricity consumption for mainland China properties relative to 2018 | % | 15% | 22 | |||||||
GHG Intensity (kgCO2e/m²) - cumulative reduction relative to 2018 | % | 40% | 22 | |||||||
Gross Direct emission (Scope 1), Hong Kong | Tonnes CO2e | 255 | 51.2 | 575 | 136 | |||||
Gross Direct emission (Scope 1), Mainland China | Tonnes CO2e | 2381 | 3890 | 3459 | 136 | |||||
Gross Direct emission (Scope 1), Total | Tonnes CO2e | 2636 | 3942 | 4034 | 136 | |||||
Gross Indirect emission (Scope 2) - location-based, Hong Kong | Tonnes CO2e | 39980 | 38585 | 38190 | 136 | |||||
Gross Indirect emission (Scope 2) - location-based, Mainland China | Tonnes CO2e | 134008 | 145468 | 147807 | 136 | |||||
Gross Indirect emission (Scope 2) - location-based, Total | Tonnes CO2e | 173988 | 184053 | 185997 | 136 | |||||
Gross Indirect emission (Scope 2) - market-based (HK) | Tonnes CO2e | 39980 | 38585 | 38190 | 137 | |||||
Gross Indirect emission (Scope 2) - market-based (MC) | Tonnes CO2e | 134008 | 130237 | 122141 | 137 | |||||
Gross Indirect emission (Scope 2) - market-based (Total) | Tonnes CO2e | 173988 | 168822 | 160331 | 137 | |||||
Gross Indirect emission (Scope 3) (HK) | Tonnes CO2e | 98362 | 107112 | 107074 | 137 | |||||
Gross Indirect emission (Scope 3) (MC) | Tonnes CO2e | 362647 | 336260 | 716926 | 137 | |||||
Gross Indirect emission (Scope 3) (Total) | Tonnes CO2e | 461009 | 443372 | 824002 | 137 | |||||
Reduction in embodied carbon intensity for all development projects (kg CO2e/m²) | % | 10 | 125 | |||||||
Scope 3 Emissions - Business travel (Category 6) | % | 0.23 | 44 | |||||||
Scope 3 Emissions - Capital goods (Category 2) | % | 0.68 | 44 | |||||||
Scope 3 Emissions - Downstream leased assets (Category 13) | % | 18.82 | 44 | |||||||
Scope 3 Emissions - Employee commuting (Category 7) | % | 0.19 | 44 | |||||||
Scope 3 Emissions - Fuel and energy related activities (Category 3) | % | 5.03 | 44 | |||||||
Scope 3 Emissions - Investments (Category 15) | % | 1.64 | 44 | |||||||
Scope 3 Emissions - Purchased goods & services (Category 1) | % | 70.41 | 44 | |||||||
Scope 3 Emissions - Upstream leased assets (Category 8) | % | 0.02 | 44 | |||||||
Scope 3 Emissions - Upstream transportation and distribution (Category 4) | % | 1.35 | 44 | |||||||
Scope 3 Emissions - Waste generated in operations (Category 5) | % | 1.63 | 44 | |||||||
Total GHG Emissions (Scope 1 and 2) - building operations only, location-based, Hong Kong | Tonnes CO2e | 40189 | 38585 | 38704 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - building operations only, location-based, Mainland China | Tonnes CO2e | 136279 | 149259 | 151126 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - building operations only, location-based, Total | Tonnes CO2e | 176468 | 187844 | 189830 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - building operations only, market-based, Hong Kong | Tonnes CO2e | 40189 | 38585 | 38704 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - building operations only, market-based, Mainland China | Tonnes CO2e | 136279 | 134028 | 125460 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - building operations only, market-based, Total | Tonnes CO2e | 176469 | 172614 | 164164 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - location-based, Hong Kong | Tonnes CO2e | 40235 | 38636 | 38765 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - location-based, Mainland China | Tonnes CO2e | 136388 | 149358 | 151266 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - location-based, Total | Tonnes CO2e | 176623 | 187994 | 190031 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - market-based, Hong Kong | Tonnes CO2e | 40235 | 38636 | 38765 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - market-based, Mainland China | Tonnes CO2e | 136388 | 134127 | 125600 | 136 | |||||
Total GHG Emissions (Scope 1 and 2) - market-based, Total | Tonnes CO2e | 176623 | 172763 | 164365 | 136 | |||||
Total embodied carbon emissions from development projects (mainland China and Hong Kong) | tCO2e | 534048 | 45 | |||||||
Upstream leased assets (Cat 8) (HK) | N/A | N/A | 137 | |||||||
Upstream leased assets (Cat 8) (MC) | Tonnes CO2e | N/A | N/A | 172 | 137 | |||||
Upstream leased assets (Cat 8) (Total) | Tonnes CO2e | N/A | N/A | 172 | 137 | |||||
Upstream transportation and distribution (Cat 4) (HK) | Tonnes CO2e | 1178 | 137 | |||||||
Upstream transportation and distribution (Cat 4) (MC) | Tonnes CO2e | 9932 | 137 | |||||||
Upstream transportation and distribution (Cat 4) (Total) | Tonnes CO2e | 11110 | 137 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Capital goods (Cat 2) (HK) | Tonnes CO2e | 1392 | 1096 | 1293 | 137 | |
Capital goods (Cat 2) (MC) | Tonnes CO2e | 489 | 1254 | 4323 | 137 | |
Capital goods (Cat 2) (Total) | Tonnes CO2e | 1881 | 2350 | 5616 | 137 | |
Hazardous waste disposed (HK) | tonnes | 3.35 | 139 | |||
Hazardous waste disposed (MC) | tonnes | 0.79 | 139 | |||
Hazardous waste disposed (Total) | tonnes | 4.14 | 139 | |||
Hazardous waste intensity (HK) | kg/m²/year | 0.0046 | 139 | |||
Hazardous waste intensity (MC) | kg/m²/year | 0.0001 | 139 | |||
Hazardous waste intensity (Total) | kg/m²/year | 0.0010 | 139 | |||
Operational Waste - share of operational waste diverted from landfill | % | 70% | 22 | |||
Total hazardous waste collected (HK) | tonnes | 3.35 | 139 | |||
Total hazardous waste collected (MC) | tonnes | 0.79 | 139 | |||
Total hazardous waste collected (Total) | tonnes | 4.14 | 139 | |||
WEEE recycled (HK) | pieces | 66 | 140 | |||
WEEE recycled (MC) | pieces | 474 | 140 | |||
WEEE recycled (Total) | pieces | 540 | 140 | |||
Waste generated in operations (Cat 5) (HK) | Tonnes CO2e | 11436 | 13340 | 7311 | 137 | |
Waste generated in operations (Cat 5) (MC) | Tonnes CO2e | 14593 | 12921 | 6076 | 137 | |
Waste generated in operations (Cat 5) (Total) | Tonnes CO2e | 26029 | 26261 | 13387 | 137 |
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 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Diversion rate from landfill (HK) | % | 2 | 139 | |||
Diversion rate from landfill (MC) | % | 96 | 139 | |||
Diversion rate from landfill (Total) | % | 66 | 139 | |||
Glass recycled (HK) | kg | 12241 | 140 | |||
Glass recycled (MC) | kg | 19986 | 140 | |||
Glass recycled (Total) | kg | 32227 | 140 | |||
Municipal solid waste disposed (HK) | tonnes | 20029 | 139 | |||
Municipal solid waste disposed (MC) | tonnes | 26738 | 139 | |||
Municipal solid waste disposed (Total) | tonnes | 46767 | 139 | |||
Municipal waste diversion rate (from landfill) at major properties | % | approximately 40 | 66 | 58 | ||
Municipal waste diverted from landfill by Hong Kong Office Rejuvenation Project | kg | 140000 | 10 | |||
Municipal waste recycled or sent to incineration at major properties | tonnes | 38659 | 58 | |||
Municipal waste recycled/composted at major properties | tonnes | approximately 10000 | approximately 20000 | 58 | ||
Municipal waste sent to incineration at major properties | tonnes | approximately 10000 | approximately 20000 | 58 | ||
Municipal waste sent to landfill at major properties | tonnes | approximately 40000 | approximately 20000 | 58 | ||
Operational waste diverted from landfill | % | 70 | 13, 52 | |||
Recycled food waste (HK) | kg | 258419 | 139 | |||
Recycled food waste (MC) | kg | 11208469 | 139 | |||
Recycled food waste (Total) | kg | 11466888 | 139 | |||
Recycled metal (HK) | kg | 843 | 139 | |||
Recycled metal (MC) | kg | 49293 | 139 | |||
Recycled metal (Total) | kg | 50136 | 139 | |||
Recycled paper (HK) | kg | 110810 | 139 | |||
Recycled paper (MC) | kg | 234629 | 139 | |||
Recycled paper (Total) | kg | 345439 | 139 | |||
Recycled plastics (HK) | kg | 1482 | 139 | |||
Recycled plastics (MC) | kg | 25332 | 139 | |||
Recycled plastics (Total) | kg | 26814 | 139 | |||
Reused waste concrete for backfilling in Westlake 66 (Hangzhou) basement | m² | 12000 | 101 | |||
Source separation for Mainland properties through reduce and recycle initiative | initiative | 1 | 125 | |||
Textiles / Clothing recycled (HK) | kg | 1548 | 140 | |||
Textiles / Clothing recycled (MC) | kg | 156 | 140 | |||
Textiles / Clothing recycled (Total) | kg | 1704 | 140 | |||
Total municipal waste collected at major properties | tonnes | 58688 | 58 | |||
Total non-hazardous waste collected (HK) | tonnes | 20413 | 139 | |||
Total non-hazardous waste collected (MC) | tonnes | 38275 | 139 | |||
Total non-hazardous waste collected (Total) | tonnes | 58688 | 139 | |||
Waste intensity (HK) | kg/m²/year | 28.3 | 139 | |||
Waste intensity (MC) | kg/m²/year | 10.6 | 139 | |||
Waste intensity (Total) | kg/m²/year | 13.5 | 139 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2030 | 2050 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|
2025 Target - Embodied carbon intensity reduction for new development projects (compared to typical practice in equivalent building) | % | 10 | 43 | ||||||||
2025 Target: Cumulative reduction in GHG intensity (relative to 2018) | % | 40 | 42 | ||||||||
Absolute scope 1 and 2 GHG emissions reduction (Hang Lung Properties Limited, base year 2019) | % | 46.6 | 99.6 | 37 | |||||||
Absolute scope 3 GHG emissions reduction (Hang Lung Properties Limited, base year 2020) | % | 99.6 | 37 | ||||||||
Absolute scope 3 GHG emissions reduction from purchased goods and services and downstream leased assets (Hang Lung Properties Limited, base year 2020) | % | 25 | 37 | ||||||||
Carbon dioxide emissions avoided for Spring City 66 (Kunming, mainland China) | tonnes | 14300 | 95 | ||||||||
Carbon emissions avoided by The Aperture (Hong Kong) through use of advanced battery energy storage system (BESS) | tonnes | 66 | 96 | ||||||||
Cumulative reduction in GHG intensity (kg CO2e/m²) relative to 2018 | % | 35 | 125 | ||||||||
Embodied Carbon Intensity (kgCO2e/m²) - reduction for new development projects begun in 2022 or later compared to typical practice | % | 10% | 22 | ||||||||
GHG Emission Intensity (tCO2e/m²) - Actual Reduction from 2018 baseline | % | 23.38 | 28.47 | 38.28 | 41.30 | 43 | |||||
GHG Emission Intensity (tCO2e/m²) - Target Reduction from 2018 baseline | % | 25 | 30 | 35 | 40 | 70 | 43 | ||||
GHG emissions intensity reduction (market-based) compared to 2018 baseline | % | 41.33 | 42 | ||||||||
GHG emissions intensity reduction from Scope 1 reductions (refrigerant and diesel generator emissions) | % | 0.1 | 42 | ||||||||
GHG emissions intensity reduction from energy efficiency and onsite renewable energy | % | 13.70 | 42 | ||||||||
GHG emissions intensity reduction from grid decarbonization and PPAs | % | 18.06 | 42 | ||||||||
GHG emissions intensity reduction from heating demand | % | 9.43 | 42 | ||||||||
GHG intensity cumulative reduction relative to 2018 (kgCO2e/m²) | % | 40 | 33 | ||||||||
GHG intensity reduction (kgCO2e/m2) relative to 2018 | % | 41 | 122 | ||||||||
GHG intensity reduction from tenants’ electricity consumption for properties in mainland China, relative to 2018 (kgCO2e/m²) | % | 15 | 33 | ||||||||
GHG intensity reduction target from tenants' electricity consumption for properties in mainland China (relative to 2018) | % | 15 | 47 | ||||||||
Potential reduction in carbon costs if SBTs are fully achieved compared to BAU | % | 47 | 95 | 48 | |||||||
Reduction in Scope 1 and 2 greenhouse gases emissions intensity compared to 2018 baseline | % | 41 | 10 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Construction Waste - share of construction waste diverted from landfill for new projects starting in 2022 | % | 60% | 22 | |||
Construction waste audit in Mainland development projects | audit | 1 | 125 | |||
Construction waste diverted from landfill for new projects starting in 2022 with maximized recycling | % | 60 | 52 | |||
End-of-life treatment of sold products (Cat 12) (HK) | Tonnes CO2e | 62 | 137 | |||
End-of-life treatment of sold products (Cat 12) (Total) | Tonnes CO2e | 62 | 137 | |||
Innovative solutions to improve waste data reporting and circularity explored | solutions | 2 | 125 | |||
Operational waste diverted from landfill (2025 Target) | % | 70 | 58 | |||
Total waste diverted from landfill (HK) | tonnes | 385 | 139 | |||
Total waste diverted from landfill (MC) | tonnes | 38275 | 139 | |||
Total waste diverted from landfill (Total) | tonnes | 38661 | 139 | |||
Waste diversion rate | % | 66 | 51 |
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 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
2023 KPI: Cumulative reduction in electricity intensity relative to 2018 | % | 16 | 54 | |||||||
Construction Floor Area (HK) | m² | 722185 | 140 | |||||||
Construction Floor Area (MC) | m² | 3626621 | 140 | |||||||
Construction Floor Area (Total) | m² | 4348806 | 140 | |||||||
Diesel (for emergency generators) consumed - HK | GJ | 9 | 8 | 17 | 138 | |||||
Diesel (for emergency generators) consumed - MC | GJ | 276 | 275 | 413 | 138 | |||||
Diesel (for emergency generators) consumed - Total | GJ | 285 | 283 | 430 | 138 | |||||
Diesel (for vehicles and vessels) consumed - HK | GJ | 224 | 253 | 311 | 138 | |||||
Diesel (for vehicles and vessels) consumed - Total | GJ | 224 | 253 | 311 | 138 | |||||
Electricity intensity (kWh/m²) | kWh/m² | 82.23 | 80.79 | 79.76 | 73.40 | 68.78 | 70.97 | 54 | ||
Electricity intensity of buildings in use (HK) | kWh/m²/year | 96.63 | 139 | |||||||
Electricity intensity of buildings in use (MC) | kWh/m²/year | 65.86 | 139 | |||||||
Electricity intensity of buildings in use (Total) | kWh/m²/year | 70.97 | 139 | |||||||
Electricity purchased from non-renewable source - HK | MWh | 70850 | 68483 | 69786 | 138 | |||||
Electricity purchased from non-renewable source - MC | MWh | 210736 | 203931 | 193826 | 138 | |||||
Electricity purchased from non-renewable source - Total | MWh | 281586 | 272414 | 263612 | 138 | |||||
Electricity purchased from renewable source - MC | MWh | 26707 | 45005 | 138 | ||||||
Electricity purchased from renewable source - Total | MWh | 26707 | 45005 | 138 | ||||||
Electricity self-generated (solar PV) and consumed - HK | MWh | N/A | N/A | N/A | 138 | |||||
Electricity self-generated (solar PV) and consumed - MC | MWh | 619 | 659 | 635 | 138 | |||||
Electricity self-generated (solar PV) and consumed - Total | MWh | 619 | 659 | 635 | 138 | |||||
Electricity self-generated (solar PV) and exported (for Feed-in Tariff) - HK | MWh | N/A | 18 | 18 | 138 | |||||
Electricity self-generated (solar PV) and exported (for Feed-in Tariff) - MC | MWh | N/A | N/A | N/A | 138 | |||||
Electricity self-generated (solar PV) and exported (for Feed-in Tariff) - Total | MWh | N/A | 18 | 18 | 138 | |||||
Gross Floor Area (HK) | m² | 554896 | 140 | |||||||
Gross Floor Area (MC) | m² | 2362639 | 140 | |||||||
Gross Floor Area (Total) | m² | 2917535 | 140 | |||||||
Mainland China portfolio electricity demand from renewable energy | % | 19 | 122 | |||||||
Mainland China portfolio electricity demand met by renewable energy | % | 18 | 22 | 25 | 45, 125 | |||||
Number of EV chargers planned for Kornhill Plaza and Canton Road Carpark in Hong Kong | 8 | 122 | ||||||||
Number of EV charging facilities installed in Center 66, Wuxi | facilities | 20 | 48 | |||||||
Number of additional EV chargers installed in Center 66, Wuxi | 20 | 122 | ||||||||
Petrol (for vehicles) consumed - HK | GJ | 369 | 398 | 474 | 138 | |||||
Petrol (for vehicles) consumed - MC | GJ | 1339 | 1218 | 1726 | 138 | |||||
Petrol (for vehicles) consumed - Total | GJ | 1708 | 1616 | 2200 | 138 | |||||
Purchased hot water (indirect energy, Group) | % | 11.8 | 53 | |||||||
Purchased steam (indirect energy, Group) | % | 2.4 | 53 | |||||||
Reduction in electricity intensity (2023 compared to 2018) | % | 14 | 51 | |||||||
Renewable Energy - share of mainland China portfolio electricity demand met by renewable energy | % | 25% | 22 | |||||||
Renewable energy generated by solar panel system, Olympia 66 (Dalian, mainland China) | MWh | 162 | 95 | |||||||
Renewable energy share for landlord and tenant operations, Spring City 66 (Kunming, mainland China) | % | 100 | 95 | |||||||
Renewable energy share of mainland China portfolio electricity demand met by renewable energy | % | 25 | 33 | |||||||
Steam (MC) | GJ | 32495 | 139 | |||||||
Steam (Total) | GJ | 32495 | 139 | |||||||
Total electricity consumed (indirect energy, Group) | % | 83.1 | 53 | |||||||
Total electricity consumed - HK | GJ, MWh | 255060 | 246537 | 251228 | 138 | |||||
Total electricity consumed - MC | GJ, MWh | 760880 | 231296 | 239466 | 138 | |||||
Total electricity consumed - Total | GJ, MWh | 282206 | 299779 | 309252 | 138 | |||||
Total energy consumed - HK | GJ | 255662 | 247196 | 252030 | 138 | |||||
Total energy consumed - MC | GJ | 961621 | 1085671 | 1087339 | 138 | |||||
Total energy consumed - Total | GJ | 1217283 | 1332867 | 1339369 | 138 | |||||
Total energy consumption (Group) | GJ | 1339369 | 53 | |||||||
Total energy intensity - HK | MJ/m²/year | 354 | 342 | 349 | 138 | |||||
Total energy intensity - MC | MJ/m²/year | 309 | 299 | 300 | 138 | |||||
Total energy intensity - Total | MJ/m²/year | 317 | 306 | 308 | 138 | |||||
Total green power consumption at Westlake 66 | MWh | 1102 | 2037 | 101 | ||||||
Total liquid fuels consumed - HK | GJ | 602 | 659 | 802 | 138 | |||||
Total liquid fuels consumed - MC | GJ | 1615 | 1493 | 2139 | 138 | |||||
Total liquid fuels consumed - Total | GJ | 2217 | 2152 | 2941 | 138 | |||||
Total liquid fuels consumption (direct energy, Group) | % | 0.2 | 53 | |||||||
Total natural gas consumed - MC | GJ | 2248 | 45386 | 32743 | 138 | |||||
Total natural gas consumed - Total | GJ | 2248 | 45386 | 32743 | 138 | |||||
Total natural gas consumption (direct energy, Group) | % | 2.5 | 53 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|
Annual water consumption recycled (Center 66 Office Tower 1, as % of annual consumption) | % | 2.6 | 57 | ||
Hot water (MC) | GJ | 157883 | 139 | ||
Hot water (Total) | GJ | 157883 | 139 | ||
Reduction in operational water use intensity (m³/m²/year) relative to 2018 | % | 10 | 52 | ||
Reduction in water intensity (2023 compared to 2018) | % | 8 | 51 | ||
Total municipal water consumed (HK) | 000 m³ | 502 | 139 | ||
Total municipal water consumed (MC) | 000 m³ | 1839 | 139 | ||
Total municipal water consumed (Total) | 000 m³ | 2341 | 139 | ||
Total water consumption (all operations) | m³ | 2341000 | 57 | ||
Water consumption (Hong Kong) | m³ | 502000 | 57 | ||
Water consumption (Mainland China) | m³ | 1839000 | 57 | ||
Water intensity (HK) | m³/m²/year | 0.69 | 139 | ||
Water intensity (MC) | m³/m²/year | 0.51 | 139 | ||
Water intensity (Total) | m³/m²/year | 0.54 | 139 | ||
Water recycled (MC) | m³ | 58665 | 139 | ||
Water recycling systems in use in Mainland properties by end of 2024 | properties | 6 | 125 | ||
Water saving measures applied in Hong Kong properties | properties | 2 | 125 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|
2025 Target: Cumulative reduction in electricity intensity relative to 2018 | % | 18 | 54 | ||||
Cumulative reduction in electricity intensity (kWh/m²) relative to 2018 | % | 16 | 125 | ||||
Cumulative reduction in electricity intensity relative to 2018 | % | 10.74 | 16.35 | 13.70 | 54 | ||
EV charging plan coverage across portfolio | % | 100 | 125 | ||||
Electricity Intensity (kWh/m²) - cumulative reduction relative to 2018 | % | 18% | 22 | ||||
Electricity intensity cumulative reduction relative to 2018 (kWh/m²) | % | 18 | 33 | ||||
Electricity intensity reduction (kWh/m2) relative to 2018 | % | 13.8 | 122 | ||||
Electricity intensity reduction for Forum 66 (Shenyang, mainland China) | % | 13.9 | 95 | ||||
Electricity intensity reduction for Olympia 66 (Dalian, mainland China) | % | 19 | 95 | ||||
Electricity intensity reduction for Riverside 66 (Tianjin, mainland China) compared to 2018 baseline | % | 13.4 | 96 | ||||
Target cumulative reduction in electricity intensity relative to 2018 | % | 16 | 17 | 18 | 54 | ||
Target electricity intensity (kWh/m²) | kWh/m² | 69.07 | 68.25 | 67.43 | 54 |
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 | 2023 | 2025 | Report Pages |
---|---|---|---|---|
Operational Water Use - reduction in water intensity (m³/m²/year) relative to 2018 | % | 10% | 22 | |
Water recycled (Total) | m³ | 58665 | 139 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|
2023 KPI: Conduct at least two pilots to expand EV charging spaces (one in Hong Kong, one on Mainland) | Completed | 48 | |||||
50% of total debts and available facilities from sustainable finance through subsidiary Hang Lung Properties | percent | 50 | 23 | ||||
Construction floor area (CFA) certified to LEED/BEAM Gold or above | % | 80 | 10 | ||||
Investments (Cat 15) - HK | Tonnes CO2e | 12986 | 15395 | 13541 | 138 | ||
Maintain WELL HSR rating for at least 10 mainland buildings | buildings | 10 | 126 | ||||
Number of active construction sites in Hong Kong | 2 | 2 | 2 | 102 | |||
Number of active construction sites in mainland China | 7 | 6 | 6 | 102 | |||
Obtain WELL HSR rating for 15 Hong Kong buildings | buildings | 15 | 126 | ||||
Pilot waste stream for upcycling in construction/renovation projects | pilot stream | 1 | 125 |
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 | 2023 | 2024 | 2030 | 2050 | Report Pages |
---|---|---|---|---|---|---|
Carbon cost under most ambitious NGFS scenarios | HKD | HKD 969 million - HKD 14 billion | 48 | |||
Carbon cost under most ambitious NGFS scenarios (range) | HKD | HKD 63 million - HKD 1 billion | 48 | |||
Climate adaptation measures implemented in properties | properties | 2 | 122 | |||
Implementation of adaptation measures in mainland China or Hong Kong properties | properties | 2 | 125 | |||
Technical analysis for climate adaptation completed for development projects (Hang Lung Properties Limited) | % | 83 | 37 | |||
Technical analysis for climate adaptation completed for properties (Hang Lung Properties Limited) | properties | 25 | 37 | |||
Technical analysis for climate adaptation completed for total floor area of existing properties (Hang Lung Properties Limited) | % | 94 | 37 | |||
Technical analysis for climate adaptation conducted for properties in Hong Kong | properties | 2 | 122 | |||
Technical analysis for climate adaptation conducted for properties in mainland China | properties | 7 | 122 | |||
Technical deep-dive analysis for climate adaptation in one property (mainland China or Hong Kong) | property | 1 | 125 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Contract / Temporary employees (Female) - Total | Number | 7 | 9 | 2 | 142 | |
Contract / Temporary employees (Male) - Total | Number | 10 | 11 | 7 | 142 | |
Contract / Temporary employees - Hong Kong | Number | 17 | 20 | 9 | 142 | |
Contract / Temporary employees - Total | Number | 17 | 20 | 9 | 142 | |
Employees by age group (30-50) - Hong Kong | Number | 569 | 555 | 527 | 142 | |
Employees by age group (30-50) - Mainland China | Number | 2498 | 2498 | 2519 | 142 | |
Employees by age group (30-50) - Total | Number | 3067 | 3053 | 3046 | 142 | |
Employees by age group (Over 50) - Hong Kong | Number | 394 | 394 | 367 | 142 | |
Employees by age group (Over 50) - Mainland China | Number | 256 | 276 | 333 | 142 | |
Employees by age group (Over 50) - Total | Number | 650 | 670 | 700 | 142 | |
Employees by age group (Under 30) - Hong Kong | Number | 97 | 97 | 74 | 142 | |
Employees by age group (Under 30) - Mainland China | Number | 456 | 429 | 393 | 142 | |
Employees by age group (Under 30) - Total | Number | 553 | 526 | 467 | 142 | |
Employees by employee category (Administrative staff) - Hong Kong | Number | 400 | 412 | 386 | 142 | |
Employees by employee category (Administrative staff) - Mainland China | Number | 1350 | 1408 | 1452 | 142 | |
Employees by employee category (Administrative staff) - Total | Number | 1750 | 1820 | 1838 | 142 | |
Employees by employee category (Executive staff) - Hong Kong | Number | 157 | 166 | 166 | 142 | |
Employees by employee category (Executive staff) - Mainland China | Number | 153 | 176 | 192 | 142 | |
Employees by employee category (Executive staff) - Total | Number | 310 | 342 | 358 | 142 | |
Employees by employee category (Operational staff) - Hong Kong | Number | 503 | 468 | 416 | 142 | |
Employees by employee category (Operational staff) - Mainland China | Number | 1707 | 1619 | 1601 | 142 | |
Employees by employee category (Operational staff) - Total | Number | 2210 | 2087 | 2017 | 142 | |
Employees by gender (Female) - Hong Kong | Number | 451 | 454 | 427 | 142 | |
Employees by gender (Female) - Mainland China | Number | 1237 | 1290 | 1322 | 142 | |
Employees by gender (Female) - Total | Number | 1688 | 1744 | 1749 | 142 | |
Employees by gender (Male) - Hong Kong | Number | 609 | 592 | 541 | 142 | |
Employees by gender (Male) - Mainland China | Number | 1973 | 1913 | 1923 | 142 | |
Employees by gender (Male) - Total | Number | 2582 | 2505 | 2464 | 142 | |
Employees covered by collective bargaining (Percentage of total employees, MC) | % | 39 | 145 | |||
Executive staff in revenue-generating functions (e.g., sales, leasing) - HK | % of female | 47 | 144 | |||
Executive staff in revenue-generating functions (e.g., sales, leasing) - MC | % of female | 41 | 144 | |||
Executive staff in revenue-generating functions (e.g., sales, leasing) - Total | % of female | 44 | 144 | |||
Female-to-Male pay ratio (target: 1:1) | 1:1 | 23 | ||||
Female-to-Male pay ratio (target: maintain 1:1) | 1:1 | 68 | ||||
Gallup Overall Database employee engagement percentile rank | percentile | 74 | 10 | |||
Number of interns welcomed | 33 | 74 | ||||
Number of interns with special needs or differing abilities hired in Mainland China | 6 | 82 | ||||
Number of management trainees welcomed | 17 | 74 | ||||
Number of staff aged 60 and above | 65 | 82 | ||||
Percentage of Executive Staff by Gender (Female) | % | 39.4 | 82 | |||
Percentage of Executive Staff by Gender (Male) | % | 60.6 | 82 | |||
Percentage of Staff by Age Group (30-50) | % | 72.3 | 82 | |||
Percentage of Staff by Age Group (Over 50) | % | 16.6 | 82 | |||
Percentage of Staff by Age Group (Under 30) | % | 11.1 | 82 | |||
Permanent Full Time employees (Female) - Total | Number | 1681 | 1730 | 1743 | 142 | |
Permanent Full Time employees (Male) - Total | Number | 2572 | 2494 | 2457 | 142 | |
Permanent Full Time employees - Hong Kong | Number | 1043 | 1021 | 955 | 142 | |
Permanent Full Time employees - Mainland China | Number | 3210 | 3203 | 3245 | 142 | |
Permanent Full Time employees - Total | Number | 4253 | 4224 | 4200 | 142 | |
Permanent Part Time employees (Female) - Total | Number | 4 | 5 | 4 | 142 | |
Permanent Part Time employees - Hong Kong | Number | 4 | 5 | 4 | 142 | |
Permanent Part Time employees - Total | Number | 4 | 5 | 4 | 142 | |
Ratio of basic salary of women to men by employee category - Administrative staff - HK | Ratio | 1.189 | 144 | |||
Ratio of basic salary of women to men by employee category - Administrative staff - MC | Ratio | 1.18 | 144 | |||
Ratio of basic salary of women to men by employee category - Administrative staff - Total | Ratio | 1.109 | 144 | |||
Ratio of basic salary of women to men by employee category - All staff - HK | Ratio | 1.015 | 144 | |||
Ratio of basic salary of women to men by employee category - All staff - MC | Ratio | 1.009 | 144 | |||
Ratio of basic salary of women to men by employee category - All staff - Total | Ratio | 0.977 | 144 | |||
Ratio of basic salary of women to men by employee category - Executive staff - HK | Ratio | 1.238 | 144 | |||
Ratio of basic salary of women to men by employee category - Executive staff - MC | Ratio | 1.245 | 144 | |||
Ratio of basic salary of women to men by employee category - Executive staff - Total | Ratio | 1.182 | 144 | |||
Ratio of basic salary of women to men by employee category - Operational staff - HK | Ratio | 1.168 | 144 | |||
Ratio of basic salary of women to men by employee category - Operational staff - MC | Ratio | 1.04 | 144 | |||
Ratio of basic salary of women to men by employee category - Operational staff - Total | Ratio | 1.092 | 144 | |||
Return to work rate by gender - Female - HK | % | 100 | 144 | |||
Return to work rate by gender - Female - MC | % | 100 | 144 | |||
Return to work rate by gender - Female - Total | % | 100 | 144 | |||
Supervised workers - Hong Kong | Number | 44 | 70 | 49 | 142 | |
Supervised workers - Mainland China | Number | 26 | 26 | 42 | 142 | |
Supervised workers - Total | Number | 70 | 96 | 91 | 142 | |
Total hours worked (HK) | Hours | 2366760 | 2352395 | 2380526 | 146 | |
Total hours worked (MC) | Hours | 6204736 | 6459487 | 6553524 | 146 | |
Total hours worked (Total) | Hours | 8571496 | 8811882 | 8934050 | 146 | |
Total man-hours in Hong Kong | man-hours | 203580 | 881970 | 823830 | 102 | |
Total man-hours in mainland China | man-hours | 4721091 | 6388380 | 8747407 | 102 | |
Total number of employees entitled to parental leave - Female - HK | Number | 427 | 144 | |||
Total number of employees entitled to parental leave - Female - MC | Number | 1322 | 144 | |||
Total number of employees entitled to parental leave - Female - Total | Number | 1749 | 144 | |||
Total number of employees entitled to parental leave - HK | Number | 968 | 144 | |||
Total number of employees entitled to parental leave - MC | Number | 3245 | 144 | |||
Total number of employees entitled to parental leave - Male - HK | Number | 541 | 144 | |||
Total number of employees entitled to parental leave - Male - MC | Number | 1923 | 144 | |||
Total number of employees entitled to parental leave - Male - Total | Number | 2464 | 144 | |||
Total number of employees entitled to parental leave - Total | Number | 4213 | 144 | |||
Total number of employees took parental leave - Female - HK | Number | 8 | 144 | |||
Total number of employees took parental leave - Female - MC | Number | 68 | 144 | |||
Total number of employees took parental leave - Female - Total | Number | 53 | 144 | |||
Total number of employees took parental leave - HK | Number | 16 | 144 | |||
Total number of employees took parental leave - MC | Number | 109 | 144 | |||
Total number of employees took parental leave - Male - HK | Number | 8 | 144 | |||
Total number of employees took parental leave - Male - MC | Number | 41 | 144 | |||
Total number of employees took parental leave - Male - Total | Number | 34 | 144 | |||
Total number of employees took parental leave - Total | Number | 87 | 144 | |||
Total workforce (employees and supervised workers) - Hong Kong | Number | 1104 | 1116 | 1017 | 142 | |
Total workforce (employees and supervised workers) - Mainland China | Number | 3236 | 3229 | 3287 | 142 | |
Total workforce (employees and supervised workers) - Total | Number | 4340 | 4345 | 4304 | 142 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Absentee rate (HK) | % | 2.17% | 2.00% | 2.32% | 146 |
Absentee rate (MC) | % | 1.63% | 1.56% | 1.50% | 146 |
Key talent retention rate | % | 94.2 | 70 | ||
Number of voluntary turnover | 622 | 440 | 419 | 70 | |
Voluntary turnover rate | % | 14.6 | 10.4 | 9.9 | 70 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Fatalities rate (HK) | % | 0% | 0% | 0% | 146 |
Fatalities rate (MC) | % | 0% | 0% | 0% | 146 |
Fatalities rate (Total) | % | 0% | 0% | 0% | 146 |
High-consequence work-related injuries (HK) | Number | 2 | 2 | 146 | |
High-consequence work-related injuries (MC) | Number | 2 | 3 | 146 | |
High-consequence work-related injuries (Total) | Number | 4 | 3 | 2 | 146 |
Injury rate per 100 employees (HK) | 2.28 | 1.70 | 1.93 | 146 | |
Injury rate per 100 employees (MC) | 0.93 | 0.99 | 0.67 | 146 | |
Injury rate per 100 employees (Total) | 1.31 | 1.18 | 1.01 | 146 | |
Number of accidents in Hong Kong | 1 | 102 | |||
Number of accidents in mainland China | 1 | 102 | |||
Rate of high-consequence work-related injuries (per 100 employees) (HK) | 0.17 | 0.00 | 0.17 | 146 | |
Rate of high-consequence work-related injuries (per 100 employees) (MC) | 0.06 | 0.09 | 0.00 | 146 | |
Rate of high-consequence work-related injuries (per 100 employees) (Total) | 0.09 | 0.07 | 0.04 | 146 | |
Work-related injuries (HK) | Number | 27 | 20 | 23 | 146 |
Work-related injuries (MC) | Number | 29 | 32 | 22 | 146 |
Work-related injuries (Total) | Number | 56 | 52 | 45 | 146 |
Lost days due to work injury.
Indicator | Unit | 2021 | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Absentee rate (Total) | % | 1.78% | 1.67% | 1.72% | 146 | |
Lost Time Injury Rate (target: 1.5 or below for employees) | 1.5 | 23 | ||||
Lost Time Injury Rate for employees (2025 Target) | 1.5 or below | 78 | ||||
Lost Time Injury Rate for employees (target: maintain 1.5 or below) | 1.5 | 68 | ||||
Lost day rate (per 100 employees) (HK) | 45.38 | 32.90 | 87.38 | 146 | ||
Lost day rate (per 100 employees) (MC) | 26.69 | 29.78 | 12.27 | 146 | ||
Lost day rate (per 100 employees) (Total) | 31.85 | 30.61 | 32.28 | 146 | ||
Lost days due to work-related injuries (HK) | Days | 537 | 387 | 1040 | 146 | |
Lost days due to work-related injuries (MC) | Days | 828 | 962 | 402 | 146 | |
Lost days due to work-related injuries (Total) | Days | 1365 | 1349 | 1442 | 146 | |
Lost-time injury frequency rate (LTIFR) (HK) | Number of injuries/million hours worked | 10.99 | 8.08 | 8.82 | 146 | |
Lost-time injury frequency rate (LTIFR) (MC) | Number of injuries/million hours worked | 4.35 | 2.17 | 3.05 | 146 | |
Lost-time injury frequency rate (LTIFR) (Total) | Number of injuries/million hours worked | 6.18 | 3.74 | 4.59 | 146 | |
Lost-time work-related injuries (HK) | Number | 26 | 19 | 21 | 146 | |
Lost-time work-related injuries (MC) | Number | 27 | 14 | 20 | 146 | |
Lost-time work-related injuries (Total) | Number | 53 | 33 | 41 | 146 | |
Number of accidents per 100000 man-hours in Hong Kong | 0.113 | 0.121 | 102 | |||
Number of accidents per 100000 man-hours in mainland China | 0.011 | 102 | ||||
Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (HK) | 2.20 | 1.62 | 1.76 | 146 | ||
Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (MC) | 0.87 | 0.43 | 0.61 | 146 | ||
Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (Total) | 1.24 | 0.75 | 0.92 | 146 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2021 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|
Number of near-misses in Hong Kong | 1 | 2 | 2 | 102 | ||
Number of near-misses in mainland China | 1 | 4 | 102 | |||
Provide health and safety training to 100% of employees in mainland China and Hong Kong | % | 100 | 126 | |||
Provide health and safety training to 100% of main contractors in mainland China and Hong Kong | % | 100 | 126 | |||
Return to work rate by gender - Male - HK | % | 100 | 144 | |||
Return to work rate by gender - Male - MC | % | 100 | 144 | |||
Return to work rate by gender - Male - Total | % | 100 | 144 | |||
Total construction safety training hours in Hong Kong | hours | 5377 | 8955 | 4078 | 102 | |
Total construction safety training hours in mainland China | hours | 7082.5 | 691.5 | 3163 | 102 | |
Training hours by topic (Occupational health and safety, HK) | Hours | 3825 | 145 | |||
Training hours by topic (Occupational health and safety, MC) | Hours | 15599 | 145 | |||
Training hours by topic (Occupational health and safety, Total) | Hours | 13813 | 19424 | 145 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Develop and deliver at least 500 hours of targeted ESG training | hours | 500 | 126 | |||
Employee engagement rating percentile (target: greater than or equal to 75th percentile) | percentile | 75 | 68 | |||
Employees receiving regular performance and career development reviews (Percentage of total employees, HK) | % | 100 | 145 | |||
Employees receiving regular performance and career development reviews (Percentage of total employees, MC) | % | 100 | 145 | |||
Employees receiving regular performance and career development reviews (Percentage of total employees, Total) | % | 100 | 100 | 145 | ||
Health and safety training coverage for employees in mainland China and Hong Kong (2023 KPI) | percent | 100 | 78 | |||
Health and safety training coverage for main contractors in mainland China and Hong Kong | % | 100 | 101 | |||
Increase in Gallup Overall Database employee engagement percentile rank | percentile points | 68 | 10 | |||
Learning & Development target - completion of key compliance courses | % | 100 | 74 | |||
Percentage increase in LinkedIn Learning colleagues with company sponsorship from 2022 | % | 75 | 74 | |||
Percentage of employees trained by employee category (Administrative staff, HK) | % | 100.0 | 145 | |||
Percentage of employees trained by employee category (Administrative staff, MC) | % | 99.8 | 145 | |||
Percentage of employees trained by employee category (Administrative staff, Total) | % | 99.8 | 99.8 | 145 | ||
Percentage of employees trained by employee category (Executive staff, HK) | % | 99.4 | 145 | |||
Percentage of employees trained by employee category (Executive staff, MC) | % | 99.0 | 145 | |||
Percentage of employees trained by employee category (Executive staff, Total) | % | 99.7 | 99.2 | 145 | ||
Percentage of employees trained by employee category (Operational staff, HK) | % | 98.8 | 145 | |||
Percentage of employees trained by employee category (Operational staff, MC) | % | 99.7 | 145 | |||
Percentage of employees trained by employee category (Operational staff, Total) | % | 99.4 | 99.5 | 145 | ||
Percentage of employees trained by gender (Female, HK) | % | 99.5 | 145 | |||
Percentage of employees trained by gender (Female, MC) | % | 99.7 | 145 | |||
Percentage of employees trained by gender (Female, Total) | % | 99.8 | 99.7 | 145 | ||
Percentage of employees trained by gender (Male, HK) | % | 99.3 | 145 | |||
Percentage of employees trained by gender (Male, MC) | % | 99.6 | 145 | |||
Percentage of employees trained by gender (Male, Total) | % | 99.5 | 99.6 | 145 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Annual employee training hours | hours | 94649 | 101824 | 126704 | 74 |
Average hours of employee training per employee - HK | Hours per employee | 17.0 | 144 | ||
Average hours of employee training per employee - MC | Hours per employee | 26.8 | 144 | ||
Average hours of employee training per employee - Total | Hours per employee | 30.1 | 144 | ||
Average training days per employee | days | 3.8 | 74 | ||
Average training hours by employee category - Administrative staff - HK | Hours | 18.0 | 144 | ||
Average training hours by employee category - Administrative staff - MC | Hours | 20.9 | 144 | ||
Average training hours by employee category - Administrative staff - Total | Hours | 26.3 | 144 | ||
Average training hours by employee category - Executive staff - HK | Hours | 25.8 | 144 | ||
Average training hours by employee category - Executive staff - MC | Hours | 36.3 | 144 | ||
Average training hours by employee category - Executive staff - Total | Hours | 30.9 | 144 | ||
Average training hours by employee category - Operational staff - HK | Hours | 12.5 | 144 | ||
Average training hours by employee category - Operational staff - MC | Hours | 30.9 | 144 | ||
Average training hours by employee category - Operational staff - Total | Hours | 33.4 | 144 | ||
Average training hours by gender - Female - HK | Hours | 19.0 | 144 | ||
Average training hours by gender - Female - MC | Hours | 27.1 | 144 | ||
Average training hours by gender - Female - Total | Hours | 32.3 | 144 | ||
Average training hours by gender - Male - HK | Hours | 15.4 | 144 | ||
Average training hours by gender - Male - MC | Hours | 26.6 | 144 | ||
Average training hours by gender - Male - Total | Hours | 28.5 | 144 | ||
Average training hours per employee | hours | 22.2 | 24.0 | 30.1 | 74 |
Increase in average training hours per employee compared to 2022 | % | 25 | 74 | ||
Learning & Development target - average learning hours per employee | hours | 24 | 74 | ||
Number of LinkedIn Learning courses viewed | courses | 2238 | 74 | ||
Number of LinkedIn Learning hours accumulated | hours | 506 | 74 | ||
Number of LinkedIn Learning videos viewed | videos | 11115 | 74 | ||
Percentage of key talent promoted or given expanded jobs | % | 45 | 70 | ||
Total hours of employee training - HK | Hours | 16430 | 144 | ||
Total hours of employee training - MC | Hours | 85865 | 144 | ||
Total hours of employee training - Total | Hours | 126704 | 144 | ||
Total training sponsorship granted | HKD | 793781 | 74 | ||
Training hours by category - Company and Market Knowledge | hours | 45600 | 74 | ||
Training hours by category - Functional | hours | 62254 | 74 | ||
Training hours by category - Leadership / Management | hours | 6262 | 74 | ||
Training hours by category - Personal Effectiveness | hours | 12588 | 74 | ||
Training hours by topic (Crisis management, HK) | Hours | 1094 | 145 | ||
Training hours by topic (Crisis management, MC) | Hours | 8097 | 145 | ||
Training hours by topic (Crisis management, Total) | Hours | 5057 | 9191 | 145 |
Number of suppliers by geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Purchased goods & services (Cat 1) (HK) | Tonnes CO2e | 29391 | 31844 | 21748 | 137 |
Purchased goods & services (Cat 1) (MC) | Tonnes CO2e | 242633 | 219950 | 558443 | 137 |
Purchased goods & services (Cat 1) (Total) | Tonnes CO2e | 272024 | 251794 | 580191 | 137 |
Purchased goods & services (Cat 1a. Product) (HK) | Tonnes CO2e | 16567 | 18615 | 5783 | 137 |
Purchased goods & services (Cat 1a. Product) (MC) | Tonnes CO2e | 216010 | 196852 | 528264 | 137 |
Purchased goods & services (Cat 1a. Product) (Total) | Tonnes CO2e | 232577 | 215467 | 534047 | 137 |
Purchased goods & services (Cat 1b. Non-product) (HK) | Tonnes CO2e | 12824 | 13229 | 15965 | 137 |
Purchased goods & services (Cat 1b. Non-product) (MC) | Tonnes CO2e | 26623 | 23098 | 30179 | 137 |
Purchased goods & services (Cat 1b. Non-product) (Total) | Tonnes CO2e | 39447 | 36327 | 46144 | 137 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Achieve 60% of total debts and available facilities from sustainable finance through subsidiary Hang Lung Properties | % | 60 | 126 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
100% of marketing events evaluated for their sustainability impacts | percent | 100 | 23 | |
100% of potential asset acquisitions include ESG due diligence | percent | 100 | 23 | |
Evaluate at least 80% of key suppliers' ESG performance | % | 80 | 126 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2025 | Report Pages |
---|---|---|---|
100% of leases incorporate sustainability provisions | percent | 100 | 23 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Evaluate the sustainability impacts of at least 50% of local marketing events in Mainland and Hong Kong | % | 50 | 126 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Training hours by topic (Data privacy and cyber security, HK) | Hours | 1779 | 145 | |
Training hours by topic (Data privacy and cyber security, MC) | Hours | 5841 | 145 | |
Training hours by topic (Data privacy and cyber security, Total) | Hours | 4315 | 7620 | 145 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2021 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of Strategic ESG KPIs completed | 24 | 24 | |||
Number of Strategic ESG KPIs endorsed | 28 | 24 | |||
Number of Strategic ESG KPIs established annually | nearly 30 | 24 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Percentage of employees received anti-corruption training by employee category (Administrative staff, HK) | % | 100 | 145 | |
Percentage of employees received anti-corruption training by employee category (Administrative staff, MC) | % | 99 | 145 | |
Percentage of employees received anti-corruption training by employee category (Administrative staff, Total) | % | 99 | 99 | 145 |
Percentage of employees received anti-corruption training by employee category (Executive staff, HK) | % | 96 | 145 | |
Percentage of employees received anti-corruption training by employee category (Executive staff, MC) | % | 99 | 145 | |
Percentage of employees received anti-corruption training by employee category (Executive staff, Total) | % | 98 | 97 | 145 |
Percentage of employees received anti-corruption training by employee category (Operational staff, HK) | % | 98 | 145 | |
Percentage of employees received anti-corruption training by employee category (Operational staff, MC) | % | 99 | 145 | |
Percentage of employees received anti-corruption training by employee category (Operational staff, Total) | % | 98 | 99 | 145 |
Training hours by topic (Anti-corruption Training, HK) | Hours | 1092 | 145 | |
Training hours by topic (Anti-corruption Training, MC) | Hours | 3981 | 145 | |
Training hours by topic (Anti-corruption Training, Total) | Hours | 5004 | 5073 | 145 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2021 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|
Collaborate with at least eight tenants in Hong Kong and eight tenants in Mainland under Tenant Partnership Program | tenants (per region) | 8 | 126 | |||
Investments (Cat 15) - Total | Tonnes CO2e | 12986 | 15395 | 13541 | 138 | |
Number of Strategic ESG KPIs set | 27 | 24 | ||||
Number of female university students benefited from Hang Lung Future Women Leaders Program | persons | 180 | 10 | |||
Number of grassroots women and children engaged in Hang Lung Nationwide Volunteer Day | people | 7300 | 84 | |||
Number of ideas collected under Common Goal | 67 | 24 | ||||
Proportion of total debts and available facilities comprising ESG-related elements | % | 55 | 10 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Number of people benefited from Hang Lung As One volunteer team in Hong Kong and mainland China | persons | 37495 | 10 | ||
Number of volunteers participating in Hang Lung Nationwide Volunteer Day | volunteers | 1200 | 84 | ||
Volunteer hours in Hong Kong | hours | 4437 | 6832 | 10431 | 84 |
Volunteer hours in Mainland China | hours | 10146 | 11765 | 59460 | 84 |
Volunteering hours contributed by Hang Lung As One volunteer team | hours | 69891 | 10 |
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 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | Tonnes CO2e | 2636 | 3942 | 4034 | |||
Indirect Energy Emissions (Scope 2) | Tonnes CO2e | 173988 | 184053 | 185997 | |||
Scope 3 GHG Emissions (Business Travel) | Tonnes CO2e | 259 | 442 | 1879 | |||
Scope 3 GHG Emissions (Downstream Leased Assets) | Tonnes CO2e | 130260 | 129025 | 155101 | |||
Scope 3 GHG Emissions (Employee Commuting) | Tonnes CO2e | 1641 | 1516 | 1595 | |||
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | Tonnes CO2e | 15929 | 16527 | 41410 | |||
Scope 3 GHG Emissions (Upstream Leased Assets) | Tonnes CO2e | None | None | 172 | |||
Scope 3 GHG Emissions (Upstream Transportation and Distribution) | Tonnes CO2e | 11110 | |||||
Total GHG Emissions Intensity (By Area) | tCO2e/m² | 0.065 | 0.058 | 0.05 | 0.045 | 0.04 | 0.038 |
Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 461009 | 443372 | 824002 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Hazardous Waste Disposed | tonnes | 4.14 |
Total Hazardous Waste | tonnes | 4.14 |
Total Hazardous Waste Intensity (By Area) | kg/m²/year | 0.001 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Diversion Rate of Non-Hazardous Waste | % | 40 | 66 |
Glass Waste | kg | 32227 | |
Non-Hazardous Waste (Domestic Waste) | tonnes | 58688 | |
Non-Hazardous Waste (Kitchen Waste) | kg | 11466888 | |
Non-Hazardous Waste Disposed | tonnes | 46767 | |
Non-Hazardous Waste Incineration | tonnes | 10000 | 20000 |
Non-Hazardous Waste Landfilling | tonnes | 40000 | 20000 |
Non-Hazardous Waste Recycled | tonnes | 10000 | 20000 |
Paper Waste | kg | 345439 | |
Plastic Waste | kg | 26814 | |
Total Non-Hazardous Waste Incineration | tonnes | 10000 | 20000 |
Total Non-Hazardous Waste Intensity (By Area) | kg/m²/year | 13.5 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 | 2024 | 2025 | 2026 | 2030 | 2050 |
---|---|---|---|---|---|---|---|
Percentage of Reduction in GHG Intensity Compared to Last Year | % | 41.3 | 35 | 40 | |||
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2018 | % | 70 | 30 | 35 | 40 | ||
Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2018 | % | 70 | |||||
Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2019 | % | 46.6 | |||||
Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2020 | % | 25 | |||||
Target Scope 1 and 2 Emissions Reduction Percentage by 2050 Compared to 2019 | % | 99.6 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2025 |
---|---|---|
Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 70 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Diesel Fuel Consumption | GJ | 509 | 536 | 741 |
Energy Consumption Intensity (By Area per Year) | MJ/m²/year | 317 | 306 | 308 |
Gasoline Consumption | GJ | 1708 | 1616 | 2200 |
Natural Gas Consumption | GJ | 2248 | 45386 | 32743 |
Percentage of Renewable Energy Consumption | % | 12.3 | 8.90889622021556 | 14.552856570046435 |
Purchased Electricity | MWh | 281586 | 299121 | 308617 |
Purchased Steam | GJ | 32495 | ||
Renewable Energy Consumption | MWh | 619 | 27384 | 45658 |
Solar Energy | MWh | 619 | 677 | 815 |
Total Electricity Consumption Intensity (By Area) | kWh/m² | 73.4 | 68.78 | 70.97 |
Total Energy Consumption | GJ | 1217283 | 1332867 | 1339369 |
Total Indirect Energy Consumption | MWh | 282206 | 299779 | 309252 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Municipal Water Consumption | m³ | 2341000 |
Recycled Water Percentage | % | 2.6 |
Recycled Water Usage | m³ | 58665 |
Water Consumption | m³ | 2341000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 | 2024 | 2025 |
---|---|---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 13.7 | ||
Target Electricity Usage Reduction Percentage Compared to Last Year | % | 16 | ||
Target Electricity Usage Reduction Percentage by 2025 Compared to 2023 | % | 18 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2025 |
---|---|---|
Water Consumption Reduction Percentage Compared to Last Year | % | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Contractors | Number | 17 | 20 | 9 |
Number of Employees Aged 30-50 | Number | 3067 | 3053 | 3046 |
Number of Employees Aged Above 50 | Number | 650 | 670 | 700 |
Number of Employees Aged Below 30 | Number | 553 | 526 | 467 |
Number of Employees in Hong Kong | Number | 1060 | 1054 | 968 |
Number of Employees in Mainland China | Number | 3210 | 3195 | 3245 |
Number of Female Employees | Number | 1688 | 1744 | 1749 |
Number of Full-time Employees | Number | 4253 | 4224 | 4200 |
Number of Full-time Employees (Female) | Number | 1681 | 1730 | 1743 |
Number of Full-time Employees (Male) | Number | 2572 | 2494 | 2457 |
Number of Interns | Number | 33 | ||
Number of Male Employees | Number | 2582 | 2505 | 2464 |
Number of Part-time Employees | Number | 4 | 5 | 4 |
Number of Part-time Employees (Female) | Number | 4 | 5 | 4 |
Number of Temporary Workers | Number | 17 | 20 | 9 |
Number of Total Employees | Number | 4270 | 4249 | 4213 |
Percentage of Employees Aged 30-50 | % | 72.3 | ||
Percentage of Employees Aged Above 50 | % | 16.6 | ||
Percentage of Employees Aged Below 30 | % | 11.1 | ||
Percentage of Female Employees | % | 41.5 | ||
Percentage of Male Employees | % | 58.5 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Turnover Rate of Total Employees | % | 14.6 | 10.4 | 9.9 |
Lost days due to work injury.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | Days | 1365 | 1349 | 1442 |
Lost Days Due to Work-related Injuries (Hong Kong) | Days | 537 | 387 | 1040 |
Lost Days Due to Work-related Injuries (Mainland China) | Days | 828 | 962 | 402 |
Lost Time Injury Frequency Rate (Hong Kong) | Number of injuries/million hours worked | 10.99 | 8.08 | 8.82 |
Lost Time Injury Frequency Rate (LTIFR/LTIR) | Number of injuries/million hours worked | 6.18 | 3.74 | 4.59 |
Lost Time Injury Frequency Rate (Mainland China) | Number of injuries/million hours worked | 4.35 | 2.17 | 3.05 |
Number of Work-related Injuries | Number | 53 | 33 | 41 |
Rate of Work-related Injuries | 1.24 | 0.75 | 0.92 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Participation Rate of Safety Training | % | 100 | 100 | |
Total Hours of Safety Training for Employees | hours | 13813 | 19424 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Percentage of Employees Trained | % | 99.8 | 99.8 |
Percentage of Trained Administrative Employees | % | 99.8 | 99.8 |
Percentage of Trained Executive Employees | % | 99.7 | 99.2 |
Percentage of Trained Female Employees | % | 99.8 | 99.7 |
Percentage of Trained Male Employees | % | 99.5 | 99.6 |
Percentage of Trained Operational Employees | % | 99.4 | 99.5 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Average Training Hours (Administrative Employees) | hours | 26.3 | ||
Average Training Hours (Executive Employees) | hours | 30.9 | ||
Average Training Hours (Female) | hours | 32.3 | ||
Average Training Hours (Hong Kong Employees) | hours | 17 | ||
Average Training Hours (Mainland China Employees) | hours | 26.8 | ||
Average Training Hours (Male) | hours | 28.5 | ||
Average Training Hours (Operational Employees) | hours | 33.4 | ||
Average Training Hours per Employee | hours | 22.2 | 24 | 30.1 |
Total Training Hours | hours | 94649 | 101824 | 126704 |
Training Hours of ESG | hours | 734 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 99 | 99 |
Total Hours of Anti-corruption Training | Hours | 5004 | 5073 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Employees Participating in Volunteer Activities | volunteers | 1200 |
Total Volunteer Service Hours | hours | 69891 |