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 (kg CO2e/m²) | % reduction | 10 | 43 | |||||||
| 2023 KPI: Cumulative reduction in GHG intensity (kg CO2e/m2) relative to 2018 | % | 30 | 42 | |||||||
| Absolute Scope 3 GHG emissions | tCO2e | 810580 | 13 | |||||||
| Breakdown of Carbon Emissions by Scope 1 (percentage of total) | % | 0.4 | 42 | |||||||
| Breakdown of Carbon Emissions by Scope 2 (percentage of total) | % | 16.4 | 42 | |||||||
| Breakdown of Carbon Emissions by Scope 3 (percentage of total) | % | 83.2 | 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 Intensity (new development projects begun in 2022 or later) | kgCO2e/m² | At least 10% reduction compared to typical practice in an equivalent building | 22 | |||||||
| Embodied carbon emissions share - Aluminum (Building Materials) | % | 26.81 | 46 | |||||||
| Embodied carbon emissions share - Cement and concrete bricks (Building Materials) | % | 10.65 | 46 | |||||||
| Embodied carbon emissions share - Concrete (Building Materials) | % | 14.28 | 46 | |||||||
| Embodied carbon emissions share - Glass (Building Materials) | % | 0.13 | 46 | |||||||
| Embodied carbon emissions share - Gypsum (Building Materials) | % | 0.09 | 46 | |||||||
| Embodied carbon emissions share - Others (Building Materials) | % | 7.73 | 46 | |||||||
| Embodied carbon emissions share - Steel (Building Materials) | % | 39.63 | 46 | |||||||
| Embodied carbon emissions share - Timber (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 | 0.06 | 0.055 | 0.046 | 0.043 | 0.037 | 0.035 | 43 | ||
| GHG Intensity (Tenants, mainland China properties) | kgCO2e/m² | 15% reduction relative to 2018 | 22 | |||||||
| GHG Intensity (portfolio-wide) | kgCO2e/m² | 40% cumulative reduction relative to 2018 | 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 | 93651 | 137 | |||||
| Gross Indirect emission (Scope 3) (MC) | Tonnes CO2e | 362647 | 336260 | 716928 | 137 | |||||
| Gross Indirect emission (Scope 3) (Total) | Tonnes CO2e | 461009 | 443372 | 810580 | 137 | |||||
| Reduction in embodied carbon intensity for all development projects (including renovation projects) (kg CO2e/m²) | % | 10 | 125 | |||||||
| Scope 3 emissions - Business travel (Category 6) | % | 0.23 | 44 | |||||||
| Scope 3 emissions - Capital goods (Category 2) | % | 0.7 | 44 | |||||||
| Scope 3 emissions - Downstream leased assets (Category 13) | % | 19.13 | 44 | |||||||
| Scope 3 emissions - Employee commuting (Category 7) | % | 0.2 | 44 | |||||||
| Scope 3 emissions - Fuel and energy related activities (Category 3) | % | 5.11 | 44 | |||||||
| Scope 3 emissions - Investments (Category 15) | % | 0.01 | 44 | |||||||
| Scope 3 emissions - Purchased goods & services (Category 1) | % | 71.58 | 44 | |||||||
| Scope 3 emissions - Upstream leased assets (Category 8) | % | 0.02 | 44 | |||||||
| Scope 3 emissions - Upstream transportation and distribution (Category 4) | % | 1.37 | 44 | |||||||
| Scope 3 emissions - Waste generated in operations (Category 5) | % | 1.65 | 44 | |||||||
| Total Carbon Emissions (Scope 1) | Tonnes CO2e | approx. 3000 | approx. 3000 | approx. 3000 | 42 | |||||
| Total Carbon Emissions (Scope 2) | Tonnes CO2e | approx. 60000 | approx. 60000 | approx. 60000 | 42 | |||||
| Total Carbon Emissions (Scope 3) | Tonnes CO2e | approx. 600000 | approx. 600000 | approx. 600000 | 42 | |||||
| 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) | Tonnes CO2e | 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 (portfolio-wide) | 70% of operational waste diverted from landfill | 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 (Hong Kong) | pieces | N/A | 88 | 66 | 140 | |
| WEEE recycled (Mainland China) | pieces | N/A | 474 | 140 | ||
| WEEE recycled (Total) | pieces | N/A | 88 | 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 | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| Completion of construction waste audit in one Mainland development project | audit | 1 | 125 | ||||
| Construction Waste (new projects starting in 2022) | 60% of construction waste diverted from landfill | 22 | |||||
| Diversion rate from landfill (HK) | % | 2 | 139 | ||||
| Diversion rate from landfill (MC) | % | 96 | 139 | ||||
| Diversion rate from landfill (Total) | % | 66 | 139 | ||||
| Exploration of innovative solutions to improve waste data reporting and circularity | solutions | 2 | 125 | ||||
| Glass recycled (Hong Kong) | kg | 13816 | 10900 | 12241 | 140 | ||
| Glass recycled (Mainland China) | kg | 35953 | 12182 | 19986 | 140 | ||
| Glass recycled (Total) | kg | 49769 | 23082 | 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 | % | 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 | ||||
| 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 | ||||
| Textiles / Clothing recycled (Hong Kong) | kg | N/A | 123 | 1548 | 140 | ||
| Textiles / Clothing recycled (Mainland China) | kg | N/A | 5000 | 156 | 140 | ||
| Textiles / Clothing recycled (Total) | kg | N/A | 5123 | 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 diversion rate in 2023 | % | 66 | 51 | ||||
| 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 | 2030 | 2050 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|---|
| 2025 Target - Embodied carbon intensity reduction for new development projects (kg CO2e/m²) | % reduction | 10 | 43 | |||||||
| 2025 Target: Cumulative reduction in GHG intensity (kg CO2e/m2) relative to 2018 | % | 40 | 42 | |||||||
| Absolute scope 1 and 2 GHG emissions reduction from 2019 base year (Hang Lung Properties Limited) | % | 46.6 | 99.6 | 37 | ||||||
| Absolute scope 3 GHG emissions reduction from 2020 base year (Hang Lung Properties Limited) | % | 99.6 | 37 | |||||||
| Absolute scope 3 GHG emissions reduction from purchased goods and services and downstream leased assets from 2020 base year (Hang Lung Properties Limited) | % | 25 | 37 | |||||||
| BAU carbon costs in 2030 under most ambitious NGFS scenarios | HKD | HKD 63 million to HKD 1 billion | 48 | |||||||
| BAU carbon costs in 2050 under most ambitious NGFS scenarios | HKD | HKD 969 million to HKD 14 billion | 48 | |||||||
| Carbon dioxide emissions avoided at Spring City 66 (Kunming, mainland China) | tonnes | 14300 | 95 | |||||||
| Carbon dioxide emissions avoided by Westlake 66 (Hangzhou, mainland China) construction site since July 1, 2022 | tonnes | 1790 | 96 | |||||||
| 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 | |||||||
| Cumulative reduction in GHG intensity (kgCO2e/m2) relative to 2018 | % reduction | 41 | 122 | |||||||
| 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 | tCO2e/m² | 0.03 | 0.018 | 43 | ||||||
| GHG Emission Intensity (tCO2e/m²) - Target Reduction from 2018 baseline | % | 20 | 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 reduction target from tenants' electricity consumption for properties in mainland China (relative to 2018) | % reduction (kg CO2e/m²) | 15 | 47 | |||||||
| Potential reduction in carbon costs if SBTs are fully achieved compared to BAU in 2030 | % | 47 | 48 | |||||||
| Potential reduction in carbon costs if SBTs are fully achieved compared to BAU in 2050 | % | 95 | 48 | |||||||
| Reduction in Scope 1 and 2 greenhouse gases emissions intensity compared to 2018 baseline | % | 41 | 10 | |||||||
| Reduction in embodied carbon intensity for new development projects (target) | % | 10 | 45 |
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 |
|---|---|---|---|---|---|---|
| 2025 Target - Percentage of operational waste diverted from landfill | % | 70 | 58 | |||
| 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 | |||
| Improvement of construction and renovation waste source sorting, recycling and circularity, and identification of at least one pilot waste stream for upcycling | pilot waste stream | 1 | 125 | |||
| Improvement of recycling rate for Hong Kong properties through at least two reduce and recycle initiatives in operations | initiatives | 2 | 125 | |||
| Improvement of source separation for Mainland properties through at least one reduce and recycle initiative in Mainland operations | initiative | 1 | 125 | |||
| Total waste diverted from landfill (HK) | tonnes | 385 | 139 | |||
| Total waste diverted from landfill (MC) | tonnes | 38274 | 139 | |||
| Total waste diverted from landfill (Total) | tonnes | 38661 | 139 |
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 | |||||||
| Additional EV chargers installed in Center 66, Wuxi | EV chargers | 20 | 122 | |||||||
| Construction Floor Area (Hong Kong) | m² | 722185 | 722185 | 722185 | 140 | |||||
| Construction Floor Area (Mainland China) | m² | 3114114 | 3626621 | 3626621 | 140 | |||||
| Construction Floor Area (Total) | m² | 3836299 | 4348806 | 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 | |||||
| Electric Vehicle (EV) Charging (provision of parking spaces with EV charging facilities across portfolio) | Wherever feasible exceed local regulations | 22 | ||||||||
| Electricity Intensity (portfolio-wide) | kWh/m² | 18% cumulative reduction relative to 2018 | 22 | |||||||
| Electricity intensity (includes consumption of purchased renewable and non-renewable electricity) | kWh/m² | 82.23 | 80.79 | 71.08 | 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 | 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 | 18 | 18 | 138 | ||||||
| Electricity self-generated (solar PV) and exported (for Feed-in Tariff) - Total | MWh | 18 | 18 | 138 | ||||||
| Gross Floor Area (Hong Kong) | m² | 554896 | 554896 | 554896 | 140 | |||||
| Gross Floor Area (Mainland China) | m² | 2034027 | 2362639 | 2362639 | 140 | |||||
| Gross Floor Area (Total) | m² | 2588923 | 2917535 | 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 charging facilities installed in carpark of Center 66, Wuxi | facilities | 20 | 48 | |||||||
| 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 | |||||
| Planned EV chargers for Kornhill Plaza and Canton Road Carpark in Hong Kong | EV chargers | 8 | 122 | |||||||
| Proportion of landlord and tenant operations powered by renewable energy at Spring City 66 (Kunming, mainland China) | % | 100 | 95 | |||||||
| Purchased hot water (indirect energy, Group, 2023) | % | 11.8 | 53 | |||||||
| Purchased steam (indirect energy, Group, 2023) | % | 2.4 | 53 | |||||||
| Reduction in electricity intensity in 2023 compared to 2018 | % | 14 | 51 | |||||||
| Renewable Energy (mainland China portfolio electricity demand met by renewable energy) | 25% | 22 | ||||||||
| Renewable power generated by solar panel system at Olympia 66 (Dalian, mainland China) | MWh | 162 | 95 | |||||||
| Steam (MC) | GJ | 32495 | 139 | |||||||
| Steam (Total) | GJ | 32495 | 139 | |||||||
| Total electricity consumed (indirect energy, Group, 2023) | % | 83.1 | 53 | |||||||
| Total electricity consumed - HK | GJ, MWh | 255060 | 68483 | 251228 | 138 | |||||
| Total electricity consumed - MC | GJ, MWh | 211356 | 231296 | 862078 | 138 | |||||
| Total electricity consumed - Total | GJ, MWh | 1015940 | 1079204 | 1113306 | 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 (Hangzhou) | 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, 2023) | % | 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, 2023) | % | 2.5 | 53 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| Hot water (MC) | GJ | 157883 | 139 | ||||
| Hot water (Total) | GJ | 157883 | 139 | ||||
| Operational Water Use (portfolio-wide) | m³/m²/year | 10% reduction in water intensity relative to 2018 | 22 | ||||
| Percentage of annual water consumption recycled at Center 66 Office Tower 1 (Hong Kong) | % | 2.6 | 57 | ||||
| Reduction in water intensity in 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 regions) | m³ | 2341000 | 57 | ||||
| Water consumption (Hong Kong) | m³, thousand m³ | 470 | 470 | 502000 | 57 | ||
| Water consumption (Mainland China) | m³, thousand m³ | 1600 | 1640 | 1839000 | 57 | ||
| Water intensity (HK) | m³/m²/year | 0.69 | 139 | ||||
| Water intensity (L/m²) | L/m² | 350 | 350 | 370 | 57 | ||
| 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 |
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 | % reduction | 13.8 | 122 | ||||
| Cumulative reduction in electricity intensity (kWh/m²) relative to 2018 | % | 16 | 125 | ||||
| Cumulative reduction in electricity intensity relative to 2018 (actual) | % | 10.74 | 16.35 | 13.70 | 54 | ||
| Cumulative reduction in electricity intensity relative to 2018 (target) | % | 16 | 17 | 18 | 54 | ||
| EV charging plan coverage across portfolio | % | 100 | 125 | ||||
| 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 electricity intensity (includes consumption of purchased renewable and non-renewable electricity) | 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 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|
| Application of water saving measures in Hong Kong properties | properties | 2 | 125 | ||
| Operational water use reduction in water intensity (m³/m²/year) relative to 2018 | % | 10 | 52 | ||
| Percentage of total population in Hong Kong served by seawater flushing | % | 85 | 57 | ||
| Water recycled (Total) | m³ | 58665 | 139 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| Construction Material Use (all new projects) | Demonstrate best efforts to maximize use of recycled, reused and bio-based materials | 22 |
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 |
|---|---|---|---|---|---|---|---|
| 50% of total debts and available facilities from sustainable finance | percent | 50 | 23 | ||||
| Construction floor area (CFA) certified to LEED/BEAM Gold or above | % | 80 | 10 | ||||
| Investments (Cat 15) - HK | Tonnes CO2e | 12986 | 15395 | 118 | 138 | ||
| Number of active construction sites in Hong Kong | 2 | 2 | 2 | 102 | |||
| Number of active construction sites in mainland China | 7 | 6 | 6 | 102 | |||
| Total debts and available facilities from sustainable finance (target: 60% by end of 2024) | percent | 60 | 126 |
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 | 2025 | Report Pages |
|---|---|---|---|
| Climate Adaptation (technical analysis for climate adaptation measures for all properties) | Complete technical analysis | 22 |
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 |
|---|---|---|---|---|---|---|
| Employees by age group - 30-50 - HK | Number | 569 | 555 | 527 | 142 | |
| Employees by age group - 30-50 - MC | Number | 2498 | 2498 | 2519 | 142 | |
| Employees by age group - 30-50 - Total | Number | 3067 | 3053 | 3046 | 142 | |
| Employees by age group - Over 50 - HK | Number | 394 | 394 | 367 | 142 | |
| Employees by age group - Over 50 - MC | Number | 256 | 276 | 333 | 142 | |
| Employees by age group - Over 50 - Total | Number | 650 | 670 | 700 | 142 | |
| Employees by age group - Under 30 - HK | Number | 97 | 97 | 74 | 142 | |
| Employees by age group - Under 30 - MC | Number | 456 | 429 | 393 | 142 | |
| Employees by age group - Under 30 - Total | Number | 553 | 526 | 467 | 142 | |
| Employees by employee category - Administrative staff - HK | Number | 400 | 412 | 386 | 142 | |
| Employees by employee category - Administrative staff - MC | Number | 1350 | 1408 | 1452 | 142 | |
| Employees by employee category - Administrative staff - Total | Number | 1750 | 1820 | 1838 | 142 | |
| Employees by employee category - Executive staff - HK | Number | 157 | 166 | 166 | 142 | |
| Employees by employee category - Executive staff - MC | Number | 153 | 176 | 192 | 142 | |
| Employees by employee category - Executive staff - Total | Number | 310 | 342 | 358 | 142 | |
| Employees by employee category - Operational staff - HK | Number | 503 | 468 | 416 | 142 | |
| Employees by employee category - Operational staff - MC | Number | 1707 | 1619 | 1601 | 142 | |
| Employees by employee category - Operational staff - Total | Number | 2210 | 2087 | 2017 | 142 | |
| Employees by employment contract - Contract / Temporary - Female - HK | Number | 7 | 9 | 2 | 142 | |
| Employees by employment contract - Contract / Temporary - Female - Total | Number | 7 | 9 | 2 | 142 | |
| Employees by employment contract - Contract / Temporary - HK | Number | 17 | 20 | 9 | 142 | |
| Employees by employment contract - Contract / Temporary - Male - HK | Number | 10 | 11 | 7 | 142 | |
| Employees by employment contract - Contract / Temporary - Male - Total | Number | 10 | 11 | 7 | 142 | |
| Employees by employment contract - Contract / Temporary - Total | Number | 17 | 20 | 9 | 142 | |
| Employees by employment contract - Permanent Full Time - Female - HK | Number | 444 | 440 | 421 | 142 | |
| Employees by employment contract - Permanent Full Time - Female - MC | Number | 1237 | 1290 | 1322 | 142 | |
| Employees by employment contract - Permanent Full Time - Female - Total | Number | 1681 | 1730 | 1743 | 142 | |
| Employees by employment contract - Permanent Full Time - HK | Number | 1043 | 1021 | 955 | 142 | |
| Employees by employment contract - Permanent Full Time - MC | Number | 3210 | 3203 | 3245 | 142 | |
| Employees by employment contract - Permanent Full Time - Male - HK | Number | 599 | 581 | 534 | 142 | |
| Employees by employment contract - Permanent Full Time - Male - MC | Number | 1973 | 1913 | 1923 | 142 | |
| Employees by employment contract - Permanent Full Time - Male - Total | Number | 2572 | 2494 | 2457 | 142 | |
| Employees by employment contract - Permanent Full Time - Total | Number | 4253 | 4224 | 4200 | 142 | |
| Employees by employment contract - Permanent Part Time - Female - HK | Number | 4 | 5 | 4 | 142 | |
| Employees by employment contract - Permanent Part Time - Female - Total | Number | 4 | 5 | 4 | 142 | |
| Employees by employment contract - Permanent Part Time - HK | Number | 4 | 5 | 4 | 142 | |
| Employees by employment contract - Permanent Part Time - Total | Number | 4 | 5 | 4 | 142 | |
| Employees by gender - Female - HK | Number | 451 | 454 | 427 | 142 | |
| Employees by gender - Female - MC | Number | 1237 | 1290 | 1322 | 142 | |
| Employees by gender - Female - Total | Number | 1688 | 1744 | 1749 | 142 | |
| Employees by gender - Male - HK | Number | 609 | 592 | 541 | 142 | |
| Employees by gender - Male - MC | Number | 1973 | 1913 | 1923 | 142 | |
| Employees by gender - Male - Total | Number | 2582 | 2505 | 2464 | 142 | |
| Employees covered by collective bargaining - Percentage of total employees (Total) | % | N/A | N/A | N/A | 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 | ||||
| Number of interns welcomed | 33 | 74 | ||||
| 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 | |||
| 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 - HK | Number | 44 | 70 | 49 | 142 | |
| Supervised workers - MC | 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 | 45 | 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 | 71 | 144 | |||
| Total number of employees took parental leave - Male - HK | Number | 8 | 144 | |||
| Total number of employees took parental leave - Male - MC | Number | 26 | 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) - HK | Number | 1104 | 1116 | 1017 | 142 | |
| Total workforce (employees and supervised workers) - MC | 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 | |
| Percentile rank for employee engagement in the Gallup Overall Database | percentile | 74 | 10 | ||
| Percentile rank for employee engagement in the Gallup Overall Database (previous) | percentile | 6 | 10 | ||
| 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) | N/A | 2.28 | 1.70 | 1.93 | 146 |
| Injury rate per 100 employees (MC) | N/A | 0.93 | 0.99 | 0.67 | 146 |
| Injury rate per 100 employees (Total) | N/A | 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) | N/A | 0.17 | 0.00 | 0.17 | 146 |
| Rate of high-consequence work-related injuries (per 100 employees) (MC) | N/A | 0.06 | 0.09 | 0.00 | 146 |
| Rate of high-consequence work-related injuries (per 100 employees) (Total) | N/A | 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 for employees (2025 Target) | 1.5 or below | 78 | ||||
| Lost Time Injury Rate for employees (target: 1.5 or below) | 1.5 | 23 | ||||
| Lost Time Injury Rate for employees (target: maintain 1.5 or below) | rate | 1.5 | 68 | |||
| Lost day rate (per 100 employees) (HK) | N/A | 45.38 | 32.90 | 87.38 | 146 | |
| Lost day rate (per 100 employees) (MC) | N/A | 26.69 | 29.78 | 12.27 | 146 | |
| Lost day rate (per 100 employees) (Total) | N/A | 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) | N/A | 2.20 | 1.62 | 1.76 | 146 | |
| Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (MC) | N/A | 0.87 | 0.43 | 0.61 | 146 | |
| Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (Total) | N/A | 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 | Report Pages |
|---|---|---|---|---|---|
| 2023 KPI: Provide health and safety training to 100% of main contractors in mainland China and Hong Kong | Completed | 101 | |||
| Number of near-misses in Hong Kong | 1 | 2 | 2 | 102 | |
| Number of near-misses in mainland China | 1 | 4 | 102 | ||
| Percentage of employees in mainland China and Hong Kong provided with health and safety training | % | 100 | 123 | ||
| Percentage of main contractors in mainland China and Hong Kong provided with health and safety training | % | 100 | 123 | ||
| 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 (Total) | Hours | 11583 | 13813 | 19424 | 145 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| 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 (Total) | % | 100 | 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 for employees in mainland China and Hong Kong (target: 100%) | percent | 100 | 126 | ||||
| Health and safety training for main contractors in mainland China and Hong Kong (target: 100%) | percent | 100 | 126 | ||||
| Percentage of employees trained by employee category - Administrative staff (Total) | % | N/A | 99.8 | 99.8 | 145 | ||
| Percentage of employees trained by employee category - Executive staff (Total) | % | N/A | 99.7 | 99.2 | 145 | ||
| Percentage of employees trained by employee category - Operational staff (Total) | % | N/A | 99.4 | 99.5 | 145 | ||
| Percentage of employees trained by gender - Female (Total) | % | N/A | 99.8 | 99.7 | 145 | ||
| Percentage of employees trained by gender - Male (Total) | % | N/A | 99.5 | 99.6 | 145 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 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 | 34.0 | 144 | |||
| Average hours of employee training per employee - Total | Hours per employee | 30.1 | 144 | |||
| Average training hours by employee category - Administrative staff - HK | Hours | 18.0 | 144 | |||
| Average training hours by employee category - Administrative staff - MC | Hours | 28.5 | 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 | 35.2 | 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 | 38.8 | 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 | 36.6 | 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 | 32.2 | 144 | |||
| Average training hours by gender - Male - Total | Hours | 28.5 | 144 | |||
| Average training hours per employee | hours | 22.2 | 24.6 | 30.1 | 74 | |
| Company and Market Knowledge training hours | hours | 45600 | 74 | |||
| Functional training hours | hours | 62254 | 74 | |||
| Leadership / Management training hours | hours | 6262 | 74 | |||
| Number of ESG training hours delivered for specific departments | hours | 734 | 123 | |||
| Number of ESG training hours focused on delivering climate-related competencies | hours | 432 | 123 | |||
| Number of LinkedIn Learning courses viewed by employees | courses | 2238 | 74 | |||
| Number of LinkedIn Learning hours accumulated by employees | hours | 506 | 74 | |||
| Number of LinkedIn Learning videos viewed by employees | videos | 11115 | 74 | |||
| Number of leadership training hours delivered to selected female university students in Hong Kong and mainland China | hours | 3500 | 123 | |||
| Number of mentorship hours delivered to selected female university students in Hong Kong and mainland China | hours | 2800 | 123 | |||
| Percentage of key talent promoted or given expanded jobs | % | 45 | 70 | |||
| Personal Effectiveness training hours | hours | 12588 | 74 | |||
| Targeted ESG training delivered (target: at least 500 hours) | hours | 500 | 126 | |||
| Total hours of employee training - HK | Hours | 16430 | 144 | |||
| Total hours of employee training - MC | Hours | 110274 | 144 | |||
| Total hours of employee training - Total | Hours | 126704 | 144 | |||
| Total training sponsorship granted | HKD | 793781 | 74 | |||
| Training hours by topic - Crisis management (Total) | Hours | N/A | 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 |
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 | |
| Key suppliers’ ESG performance evaluated (target: at least 80%) | percent | 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 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Product (Cat 1a) (HK) | Tonnes CO2e | 16567 | 18615 | 5783 | 137 |
| Product (Cat 1a) (MC) | Tonnes CO2e | 216010 | 196852 | 528266 | 137 |
| Product (Cat 1a) (Total) | Tonnes CO2e | 232577 | 215467 | 534047 | 137 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Training hours by topic - Data privacy and cyber security (Total) | Hours | N/A | 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 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Percentage of employees received anti-corruption training by employee category - Administrative staff (Total) | % | 100 | 99 | 99 | 145 |
| Percentage of employees received anti-corruption training by employee category - Executive staff (Total) | % | 100 | 98 | 97 | 145 |
| Percentage of employees received anti-corruption training by employee category - Operational staff (Total) | % | 100 | 98 | 99 | 145 |
| Training hours by topic - Anti-corruption training (Total) | Hours | 4699 | 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 |
|---|---|---|---|---|---|---|
| Investments (Cat 15) - Total | Tonnes CO2e | 12986 | 15395 | 118 | 138 | |
| Local marketing events’ sustainability impacts evaluated (target: at least 50% in Mainland and Hong Kong) | percent | 50 | 126 | |||
| Number of Strategic ESG KPIs set | 27 | 24 | ||||
| Number of female university students benefited from Hang Lung Future Women Leaders Program | students | 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 | |||
| Social impact assessment in community investment program (pilot at least one) | program | 1 | 126 | |||
| WELL HSR rating for Hong Kong buildings (target: 15 buildings) | buildings | 15 | 126 | |||
| WELL HSR rating for Mainland buildings (target: maintain for at least 10 buildings) | buildings | 10 | 126 |
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 | people | 37495 | 10 | ||
| Number of volunteers participating in Hang Lung Nationwide Volunteer Day | volunteers | 1200 | 84 | ||
| Volunteer hours in Hong Kong | hours | 10146 | 6832 | 10431 | 84 |
| Volunteer hours in Mainland China | hours | 4437 | 11765 | 59460 | 84 |
| Volunteering hours contributed by Hang Lung As One volunteer team | hours | 69891 | 10 |
Other aspects.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Non-product (Cat 1b) (HK) | Tonnes CO2e | 12824 | 13229 | 15965 | 137 |
| Non-product (Cat 1b) (MC) | Tonnes CO2e | 26623 | 23098 | 30179 | 137 |
| Non-product (Cat 1b) (Total) | Tonnes CO2e | 39447 | 36327 | 46144 | 137 |
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 | Tonnes CO2e | 637633 | 630367 | 1000608 | |||
| Total GHG Emissions Intensity (By Area) | tCO2e/m² | 0.06 | 0.055 | 0.046 | 0.043 | 0.037 | 0.035 |
| Total Other Indirect Energy Emissions (Scope 3) | Tonnes CO2e | 461009 | 443372 | 810580 |
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 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Diversion Rate of Non-Hazardous Waste | % | 66 | ||
| Glass Waste | kg | 49769 | 23082 | 32227 |
| Non-Hazardous Waste (Domestic Waste) | tonnes | 58688 | ||
| Non-Hazardous Waste (Kitchen Waste) | kg | 11466888 | ||
| Non-Hazardous Waste Disposed | tonnes | 46767 | ||
| Non-Hazardous Waste Recycled | tonnes | 38659 | ||
| Non-Hazardous Waste Reused | m² | 12000 | ||
| Paper Waste | kg | 345439 | ||
| Plastic Waste | kg | 26814 | ||
| 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 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | 2050 |
|---|---|---|---|---|---|---|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | % | 41 | |||||||
| Percentage of Reduction in GHG Intensity Compared to Last Year | % | 23.38 | 28.47 | 38.28 | 41.3 | 35 | 40 | ||
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 41 | |||||||
| Scope 3 Emissions Reduction Percentage Compared to Last Year | % | 99.6 | |||||||
| Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2019 | % | 46.6 | |||||||
| Target Scope 1 and 2 Emissions Reduction Percentage by 2050 Compared to 2019 | % | 99.6 | |||||||
| Target Scope 3 Emissions Reduction Percentage by 2030 Compared to 2020 | % | 25 |
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) | MJ/m²/year | 317 | 306 | 308 |
| Gasoline Consumption | GJ | 1708 | 1616 | 2200 |
| Natural Gas Consumption | GJ | 2248 | 45386 | 32743 |
| Percentage of Renewable Energy Consumption | % | 0.6 | 9.1 | 14.8 |
| Purchased Electricity | MWh | 282206 | 299779 | 309252 |
| Renewable Energy Consumption | MWh | 619 | 27366 | 45640 |
| 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 | GJ | 1015940 | 1079204 | 1113306 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Municipal Water Consumption | m³ | 2341000 | ||
| Recycled Water Percentage | % | 2.6 | ||
| Recycled Water Usage | m³ | 58665 | ||
| Water Consumption | m³ | 2070000 | 2110000 | 2341000 |
| Water Consumption Intensity (By Revenue) | L/m² | 350 | 350 | 370 |
| Water Withdrawal Intensity | m³/m²/year | 0.54 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Target Electricity Usage Reduction Percentage by 2025 Compared to 2023 | % | 4.3 | 2.9 |
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 |
|---|---|---|
| Target 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 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 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 Temporary Workers (Female) | Number | 7 | 9 | 2 |
| Number of Temporary Workers (Male) | Number | 10 | 11 | 7 |
| 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 |
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 | N/A | 1.24 | 0.75 | 0.92 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Participation Rate of Safety Training | % | 100 | 100 | 100 |
| Total Hours of Safety Training for Employees | hours | 11583 | 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 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 | 34 | ||
| Average Training Hours (Male) | hours | 28.5 | ||
| Average Training Hours (Operational Employees) | hours | 33.4 | ||
| Average Training Hours per Employee | hours | 22.2 | 24.6 | 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 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 | 98.33 | 98.33 |
| Total Hours of Anti-corruption Training | Hours | 4699 | 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 |