Sustainability Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Estimated emissions from HCFCs (outside GHG accounting boundary) | tCO2e | 32 | 177 |
| Reduction in steel-related emissions at Plaza 66 Pavilion Extension project, Shanghai | % reduction | 35 | 154 |
| Total emissions of NOx in 2024 | kg | 27 | 177 |
| Total emissions of PM in 2024 | kg | 2 | 177 |
| Total emissions of SOx in 2024 | kg | 0.8 | 177 |
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 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Building operation (Scope 1) - HK | Tonnes CO2e | 0.6 | 514 | 173 | ||||
| Building operation (Scope 1) - MC | Tonnes CO2e | 3791 | 3319 | 4132 | 173 | |||
| Building operation (Scope 1) - Total | Tonnes CO2e | 3792 | 3833 | 4132 | 173 | |||
| Business travel (Cat 6) - HK | Tonnes CO2e | 218 | 937 | 775 | 173 | |||
| Business travel (Cat 6) - MC | Tonnes CO2e | 224 | 942 | 875 | 173 | |||
| Business travel (Cat 6) - Total | Tonnes CO2e | 442 | 1879 | 1650 | 173 | |||
| Carbon emission intensity (Scope 1 and 2) - building operations only - location-based (HK) | Tonnes CO2e/m2/year | 0.0534 | 0.0536 | 0.0485 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - building operations only - location-based (MC) | Tonnes CO2e/m2/year | 0.0412 | 0.0417 | 0.0385 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - building operations only - location-based (Total) | Tonnes CO2e/m2/year | 0.0432 | 0.0437 | 0.0402 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - building operations only - market-based (HK) | Tonnes CO2e/m2/year | 0.0534 | 0.0536 | 0.0485 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - building operations only - market-based (MC) | Tonnes CO2e/m2/year | 0.037 | 0.0346 | 0.0258 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - building operations only - market-based (Total) | Tonnes CO2e/m2/year | 0.0397 | 0.0377 | 0.0296 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - location-based (HK) | kg CO2e/m2/year | 53.4 | 53.7 | 48.6 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - location-based (MC) | kg CO2e/m2/year | 41.2 | 41.7 | 38.5 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - location-based (Total) | kg CO2e/m2/year | 43.2 | 43.7 | 40.2 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - market-based (HK) | kg CO2e/m2/year | 53.4 | 53.7 | 48.6 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - market-based (MC) | kg CO2e/m2/year | 37 | 34.6 | 25.8 | 172 | |||
| Carbon emission intensity (Scope 1 and 2) - market-based (Total) | kg CO2e/m2/year | 39.7 | 37.8 | 29.7 | 172 | |||
| Category 1 and Category 13 share of total Scope 3 emissions | % | 85 | 53 | |||||
| Company vehicles and vessels (Scope 1) - HK | Tonnes CO2e | 51 | 61 | 50 | 173 | |||
| Company vehicles and vessels (Scope 1) - MC | Tonnes CO2e | 99 | 140 | 110 | 173 | |||
| Company vehicles and vessels (Scope 1) - Total | Tonnes CO2e | 150 | 201 | 160 | 173 | |||
| Decreased Scope 1 emissions from refrigerants and diesel generators contribution to GHG emissions reduction | % | 0.19 | 53 | |||||
| Downstream leased assets (Cat 13) - HK | Tonnes CO2e | 43293 | 49657 | 50497 | 174 | |||
| Downstream leased assets (Cat 13) - MC | Tonnes CO2e | 85732 | 105444 | 85578 | 174 | |||
| Downstream leased assets (Cat 13) - Total | Tonnes CO2e | 129025 | 155101 | 136075 | 174 | |||
| Employee commuting (Cat 7) - HK | Tonnes CO2e | 455 | 472 | 444 | 174 | |||
| Employee commuting (Cat 7) - MC | Tonnes CO2e | 1061 | 1123 | 1078 | 174 | |||
| Employee commuting (Cat 7) - Total | Tonnes CO2e | 1516 | 1595 | 1522 | 174 | |||
| Fuel and energy related activities (Cat 3) - HK | Tonnes CO2e | 1409 | 10937 | 10439 | 173 | |||
| Fuel and energy related activities (Cat 3) - MC | Tonnes CO2e | 15118 | 30473 | 19236 | 173 | |||
| GHG Intensity (Tenants) (reduction in GHG intensity from tenants' electricity consumption for properties in mainland China, relative to 2018) | % | 15 | 28 | |||||
| GHG Intensity (Tenants) reduction in GHG intensity from tenants’ electricity consumption for properties in mainland China, relative to 2018 | % | 15 | 40 | |||||
| GHG Intensity (cumulative reduction relative to 2018) | % | 40 | 28 | |||||
| Green power procured for landlord operations in mainland China | MWh | 109644 | 55 | |||||
| Green power procured for tenant operations in mainland China | MWh | 96059 | 55 | |||||
| Gross direct emission (Scope 1) - HK | Tonnes CO2e | 51 | 575 | 50 | 173 | |||
| Gross direct emission (Scope 1) - MC | Tonnes CO2e | 3890 | 3459 | 4242 | 173 | |||
| Gross direct emission (Scope 1) - Total | Tonnes CO2e | 3942 | 4034 | 4292 | 173 | |||
| Gross indirect emission (Scope 2) - location-based - HK | Tonnes CO2e | 38585 | 38190 | 35634 | 173 | |||
| Gross indirect emission (Scope 2) - location-based - MC | Tonnes CO2e | 145468 | 147807 | 135403 | 173 | |||
| Gross indirect emission (Scope 2) - location-based - Total | Tonnes CO2e | 184053 | 185997 | 171037 | 173 | |||
| Gross indirect emission (Scope 2) - market-based - HK | Tonnes CO2e | 38585 | 38190 | 35634 | 173 | |||
| Gross indirect emission (Scope 2) - market-based - MC | Tonnes CO2e | 130237 | 122141 | 89433 | 173 | |||
| Gross indirect emission (Scope 2) - market-based - Total | Tonnes CO2e | 168822 | 160331 | 125067 | 173 | |||
| Gross indirect emission (Scope 3) - HK | Tonnes CO2e | 107112 | 93651 | 128158 | 173 | |||
| Gross indirect emission (Scope 3) - MC | Tonnes CO2e | 336260 | 716928 | 306887 | 173 | |||
| Gross indirect emission (Scope 3) - Total | Tonnes CO2e | 443372 | 810580 | 435045 | 173 | |||
| Reduction in GHG intensity (kg CO2e/m²) from tenants’ electricity consumption for mainland China properties relative to 2018 | % reduction | 39 | 154 | |||||
| Reduction in GHG intensity from mainland tenants' electricity consumption compared to 2018 baseline | % | 39 | 61 | |||||
| Reduction in embodied carbon emissions compared to previous year | % | -67.2 | 58 | |||||
| Scope 1 emissions as percentage of total GHG emissions | 0.8% | 52 | ||||||
| Scope 2 emissions as percentage of total GHG emissions | 22.2% | 52 | ||||||
| Scope 3 Carbon Emissions — Downstream leased assets (Category 13) | kg CO2e | 110000 | 120000 | 120000 | 130000 | 120000 | 54 | |
| Scope 3 Carbon Emissions — Other categories | kg CO2e | 30000 | 40000 | 40000 | 50000 | 50000 | 54 | |
| Scope 3 Carbon Emissions — Purchased goods & services (Category 1) | kg CO2e | 120000 | 240000 | 320000 | 560000 | 220000 | 54 | |
| Scope 3 Emissions Breakdown — Business travel (Category 6) | percentage | 0.4% | 54 | |||||
| Scope 3 Emissions Breakdown — Capital goods (Category 2) | percentage | 2.9% | 54 | |||||
| Scope 3 Emissions Breakdown — Downstream leased assets (Category 13) | percentage | 31.3% | 54 | |||||
| Scope 3 Emissions Breakdown — Employee commuting (Category 7) | percentage | 0.3% | 54 | |||||
| Scope 3 Emissions Breakdown — End-of-life treatment of sold products (Category 12) | percentage | 0.04% | 54 | |||||
| Scope 3 Emissions Breakdown — Fuel and energy related activities (Category 3) | percentage | 6.8% | 54 | |||||
| Scope 3 Emissions Breakdown — Investments (Category 15) | percentage | 0.02% | 54 | |||||
| Scope 3 Emissions Breakdown — Purchased goods & services (Category 1) | percentage | 53.9% | 54 | |||||
| Scope 3 Emissions Breakdown — Upstream leased assets (Category 8) | percentage | 0.04% | 54 | |||||
| Scope 3 Emissions Breakdown — Upstream transportation and distribution (Category 4) | percentage | 0.4% | 54 | |||||
| Scope 3 Emissions Breakdown — Use of sold products (Category 11) | percentage | 1.7% | 54 | |||||
| Scope 3 Emissions Breakdown — Waste generated in operations (Category 5) | percentage | 2.2% | 54 | |||||
| Scope 3 GHG emissions increase compared to 2020 base year | increase | 29% | 52 | |||||
| Scope 3 emissions as percentage of total GHG emissions | 77.0% | 52 | ||||||
| Share of embodied carbon emissions from aluminum in building materials | % | 38.5 | 58 | |||||
| Share of embodied carbon emissions from cement and concrete bricks in building materials | % | 14.4 | 58 | |||||
| Share of embodied carbon emissions from concrete in building materials | % | 13.1 | 58 | |||||
| Share of embodied carbon emissions from glass in building materials | % | 1.6 | 58 | |||||
| Share of embodied carbon emissions from gypsum in building materials | % | 0.2 | 58 | |||||
| Share of embodied carbon emissions from other materials in building materials | % | 6.5 | 58 | |||||
| Share of embodied carbon emissions from steel in building materials | % | 25.3 | 58 | |||||
| Share of embodied carbon emissions from timber in building materials | % | 0.4 | 58 | |||||
| Target reduction in GHG intensity (kg CO2e/m2) from tenants' electricity consumption for properties in mainland China, relative to 2018 | % | 15 | 61 | |||||
| Tenant GHG intensity reduction from 2018 baseline | % | -15.6 | -31 | -39 | 62 | |||
| Total Carbon Emissions Scope 1 | Tonnes CO2e | 100000 | 100000 | 100000 | 10000 | 52 | ||
| Total Carbon Emissions Scope 2 | Tonnes CO2e | 200000 | 200000 | 200000 | 200000 | 52 | ||
| Total Carbon Emissions Scope 3 | Tonnes CO2e | 600000 | 700000 | 800000 | 700000 | 52 | ||
| Total GHG Emissions (Scope 1 and 2) - building operations only - location-based (HK) | Tonnes CO2e | 38586 | 38704 | 35634 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - building operations only - location-based (MC) | Tonnes CO2e | 149259 | 151126 | 139536 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - building operations only - location-based (Total) | Tonnes CO2e | 187845 | 189830 | 175170 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - building operations only - market-based (HK) | Tonnes CO2e | 38586 | 38704 | 35634 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - building operations only - market-based (MC) | Tonnes CO2e | 134028 | 125460 | 93565 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - building operations only - market-based (Total) | Tonnes CO2e | 172614 | 164164 | 129199 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - location-based (HK) | Tonnes CO2e | 38636 | 38765 | 35684 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - location-based (MC) | Tonnes CO2e | 149358 | 151266 | 139646 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - location-based (Total) | Tonnes CO2e | 187994 | 190031 | 175330 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - market-based (HK) | Tonnes CO2e | 38636 | 38765 | 35684 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - market-based (MC) | Tonnes CO2e | 134127 | 125600 | 93676 | 172 | |||
| Total GHG Emissions (Scope 1 and 2) - market-based (Total) | Tonnes CO2e | 172763 | 164365 | 129360 | 172 | |||
| Upstream leased assets (Cat 8) - HK | Tonnes CO2e | N/A | 174 | |||||
| Upstream leased assets (Cat 8) - MC | Tonnes CO2e | N/A | 172 | 157 | 174 | |||
| Upstream leased assets (Cat 8) - Total | Tonnes CO2e | N/A | 172 | 157 | 174 | |||
| Upstream transportation and distribution (Cat 4) - HK | Tonnes CO2e | N/A | 1178 | 151 | 173 | |||
| Upstream transportation and distribution (Cat 4) - MC | Tonnes CO2e | N/A | 9932 | 1767 | 173 | |||
| Upstream transportation and distribution (Cat 4) - Total | Tonnes CO2e | N/A | 11110 | 1918 | 173 | |||
| Use of sold products (Cat 11) - HK | Tonnes CO2e | 5173 | 174 | |||||
| Use of sold products (Cat 11) - MC | Tonnes CO2e | 2117 | 174 | |||||
| Use of sold products (Cat 11) - Total | Tonnes CO2e | 7290 | 174 |
Total 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 |
|---|---|---|---|---|---|---|
| Capital goods (Cat 2) - HK | Tonnes CO2e | 1096 | 1293 | 1123 | 173 | |
| Capital goods (Cat 2) - MC | Tonnes CO2e | 1254 | 4323 | 11623 | 173 | |
| Capital goods (Cat 2) - Total | Tonnes CO2e | 2350 | 5616 | 12746 | 173 | |
| Hazardous waste disposed (HK) | tonnes | 13.15 | 176 | |||
| Hazardous waste disposed (MC) | tonnes | 0.78 | 176 | |||
| Hazardous waste disposed (Total) | tonnes | 13.93 | 176 | |||
| Hazardous waste intensity (HK) | kg/m²/year | 0.0179 | 176 | |||
| Hazardous waste intensity (MC) | kg/m²/year | 0.0002 | 176 | |||
| Hazardous waste intensity (Total) | kg/m²/year | 0.0032 | 176 | |||
| Operational Waste (diverted from landfill) | % | 70 | 28 | |||
| Operational waste diversion rate (including incineration and recycling) | % | 62 | 154 | |||
| Total hazardous waste collected (HK) | tonnes | 13.15 | 176 | |||
| Total hazardous waste collected (MC) | tonnes | 0.78 | 176 | |||
| Total hazardous waste collected (Total) | tonnes | 13.93 | 176 | |||
| Waste generated in operations (Cat 5) - HK | Tonnes CO2e | 13340 | 7311 | 7773 | 173 | |
| Waste generated in operations (Cat 5) - MC | Tonnes CO2e | 12921 | 6076 | 1694 | 173 | |
| Waste generated in operations (Cat 5) - Total | Tonnes CO2e | 26261 | 13387 | 9467 | 173 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Diversion rate from landfill (HK) | % | 2% | 176 |
| Diversion rate from landfill (MC) | % | 100% | 176 |
| Diversion rate from landfill (Total) | % | 62% | 176 |
| Municipal solid waste disposed (HK) | tonnes | 22854 | 176 |
| Municipal solid waste disposed (MC) | tonnes | 24953 | 176 |
| Municipal solid waste disposed (Total) | tonnes | 47807 | 176 |
| Municipal waste diverted from landfill by Hong Kong Office Rejuvenation Project | kg | 181000 | 10 |
| Recycled WEEE (HK) | pieces | 25 | 176 |
| Recycled WEEE (MC) | pieces | 1683 | 176 |
| Recycled WEEE (Total) | pieces | 1708 | 176 |
| Recycled Westlake 66's waste concrete into low-carbon recycled concrete aggregate (RCA) and recycled low-carbon concrete bricks | tonnes | 100 | 61 |
| Recycled food waste (HK) | kg | 249173 | 176 |
| Recycled food waste (MC) | kg | 11875481 | 176 |
| Recycled food waste (Total) | kg | 12124654 | 176 |
| Recycled glass (HK) | kg | 14519 | 176 |
| Recycled glass (MC) | kg | 38710 | 176 |
| Recycled glass (Total) | kg | 53229 | 176 |
| Recycled metal (HK) | kg | 335 | 176 |
| Recycled metal (MC) | kg | 51584 | 176 |
| Recycled metal (Total) | kg | 51919 | 176 |
| Recycled paper (HK) | kg | 105724 | 176 |
| Recycled paper (MC) | kg | 267091 | 176 |
| Recycled paper (Total) | kg | 372815 | 176 |
| Recycled plastics (HK) | kg | 17848 | 176 |
| Recycled plastics (MC) | kg | 30437 | 176 |
| Recycled plastics (Total) | kg | 48285 | 176 |
| Recycled textiles/clothing (HK) | kg | 1867 | 176 |
| Recycled textiles/clothing (MC) | kg | 309 | 176 |
| Recycled textiles/clothing (Total) | kg | 2176 | 176 |
| Total non-hazardous waste collected (HK) | tonnes | 23244 | 176 |
| Total non-hazardous waste collected (MC) | tonnes | 37216 | 176 |
| Total non-hazardous waste collected (Total) | tonnes | 60460 | 176 |
| Waste intensity (HK) | kg/m²/year | 31.7 | 176 |
| Waste intensity (MC) | kg/m²/year | 10.3 | 176 |
| Waste intensity (Total) | kg/m²/year | 13.9 | 176 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| 2024 KPI for Scope 1 and 2 GHG intensity reduction | cumulative reduction in kgCO2e/m² relative to 2018 | 35% | 52 | ||
| 2024 KPI: Reduction in embodied carbon intensity for all development projects (including renovation projects) through materials substitution or design improvements | % | >=10 | 58 | ||
| 2025 Target: Reduction in embodied carbon intensity for new development projects (compared to typical practice in equivalent building) | % | >=10 | 58 | ||
| Carbon emissions avoided from landlord's green energy consumption in mainland China | tCO2e | 53246 | 55 | ||
| Carbon emissions avoided from procured renewable energy | tCO2e | 47325 | 62 | ||
| Carbon emissions avoided from tenant's green energy consumption in mainland China | tCO2e | 47325 | 55 | ||
| Category 1 emissions reduction as share of year-on-year Scope 3 emissions reduction | % | 96 | 53 | ||
| Embodied Carbon Intensity (reduction for new development projects beginning in 2022 or later, compared to typical practice in an equivalent building) | % | 10 | 28 | ||
| GHG Intensity cumulative reduction relative to 2018 | % | 40 | 40 | ||
| GHG emissions intensity reduction (market-based) compared to 2018 baseline | % | -51 | 53 | ||
| GHG emissions intensity reduction target compared to 2018 baseline | % | -40 | -70 | 53 | |
| GHG intensity reduction (kg CO2e/m2) relative to 2018 | % reduction | 51 | 157 | ||
| GHG intensity reduction (kg CO2e/m²) relative to 2018 | % reduction | 51 | 154 | ||
| Grid decarbonization and power purchase agreements (PPAs) contribution to GHG emissions reduction | % | 26.76 | 53 | ||
| Lower heating demand contribution to GHG emissions reduction | % | 5.48 | 53 | ||
| Reduction in Scope 1 and 2 GHG emissions intensity compared to 2018 baseline | % | 51 | 10 | ||
| Reduction in Scope 3 absolute GHG emissions compared to 2023 | % | 46 | 10 | ||
| Scope 1 and 2 GHG emissions reduction compared to 2019 base year | reduction | 35.8% | 52 | ||
| Scope 3 emissions absolute reduction compared to 2023 | % | -46.3 | 53 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|
| Construction Waste (diverted from landfill for new projects starting in 2022 with maximized recycling) | % | 60 | 28 | ||
| Construction waste diversion rate | % | 92 | 154 | ||
| End-of-life treatment of sold products (Cat 12) - HK | Tonnes CO2e | 62 | 94 | 174 | |
| End-of-life treatment of sold products (Cat 12) - MC | Tonnes CO2e | 36 | 174 | ||
| End-of-life treatment of sold products (Cat 12) - Total | Tonnes CO2e | 62 | 130 | 174 | |
| Knauf's gypsum board waste collected for recycling during renovation project at Grand Gateway 66, Shanghai | kg | 680 | 61 | ||
| Total waste diverted from landfill (HK) | tonnes | 389 | 176 | ||
| Total waste diverted from landfill (MC) | tonnes | 37216 | 176 | ||
| Total waste diverted from landfill (Total) | tonnes | 37605 | 176 |
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 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| 22% of mainland China portfolio electricity demand met by renewable energy (2024 KPI) | % | 22 | 55 | |||
| 25% of mainland China portfolio electricity demand met by renewable energy (2025 Target) | % | 25 | 55 | |||
| Additional EV chargers planned for Westlake 66 project in Hangzhou | EV chargers | 282 | 154 | |||
| Construction floor area (HK) | m² | 734185 | 176 | |||
| Construction floor area (MC) | m² | 3626621 | 176 | |||
| Construction floor area (Total) | m² | 4360806 | 176 | |||
| Diesel (for emergency generators) - HK | GJ | 8 | 17 | 174 | ||
| Diesel (for emergency generators) - MC | GJ | 275 | 413 | 504 | 174 | |
| Diesel (for emergency generators) - Total | GJ | 283 | 430 | 504 | 174 | |
| Diesel (for vehicles and vessels) - HK | GJ | 253 | 311 | 224 | 174 | |
| Diesel (for vehicles and vessels) - Total | GJ | 253 | 311 | 224 | 174 | |
| EV chargers installed in mainland China (Grand Gateway 66, Palace 66, Parc 66, Riverside 66) | EV chargers | 74 | 154 | |||
| Electricity intensity of buildings in use (HK) | kWh/m²/year | 91.28 | 175 | |||
| Electricity intensity of buildings in use (MC) | kWh/m²/year | 63.17 | 175 | |||
| Electricity intensity of buildings in use (Total) | kWh/m²/year | 67.9 | 175 | |||
| Electricity purchased from non-renewable source (HK) | MWh | 67016 | 175 | |||
| Electricity purchased from non-renewable source (MC) | MWh | 118834 | 175 | |||
| Electricity purchased from non-renewable source (Total) | MWh | 185850 | 175 | |||
| Electricity purchased from renewable source (MC) | MWh | 109644 | 175 | |||
| Electricity purchased from renewable source (Total) | MWh | 109644 | 175 | |||
| Electricity self-generated (solar PV) and consumed (HK) | MWh | N/A | 175 | |||
| Electricity self-generated (solar PV) and consumed (MC) | MWh | 600 | 175 | |||
| Electricity self-generated (solar PV) and consumed (Total) | MWh | 600 | 175 | |||
| Electricity self-generated (solar PV) and exported (for Feed-in Tariff) (HK) | MWh | 17 | 175 | |||
| Electricity self-generated (solar PV) and exported (for Feed-in Tariff) (Total) | MWh | 17 | 175 | |||
| Fuel and energy related activities (Cat 3) - Total | Tonnes CO2e | 16527 | 41410 | 29675 | 173 | |
| Gross floor area (HK) | m² | 564651 | 176 | |||
| Gross floor area (MC) | m² | 2362639 | 176 | |||
| Gross floor area (Total) | m² | 2927290 | 176 | |||
| Mainland China portfolio electricity demand from renewable energy | % | 48 | 157 | |||
| Mainland China portfolio electricity demand met by renewable energy | % | 48 | 154 | |||
| Mainland operating properties powered by renewable energy | out of 10 | 5 | 10 | |||
| Percentage of mainland China portfolio's landlord electricity demand met by renewable energy | % | 48 | 55 | |||
| Petrol (for vehicles) - HK | GJ | 398 | 474 | 417 | 174 | |
| Petrol (for vehicles) - MC | GJ | 1218 | 1726 | 1359 | 174 | |
| Petrol (for vehicles) - Total | GJ | 1616 | 2200 | 1776 | 174 | |
| Procured renewable energy | MWh | 96059 | 62 | |||
| Purchased hot water (indirect energy) share of energy consumption | percentage | 11.4% | 71 | |||
| Purchased steam (indirect energy) share of energy consumption | percentage | 2.6% | 71 | |||
| Renewable Energy (mainland China portfolio electricity demand met by renewable energy) | % | 25 | 28 | |||
| Renewable Energy share of mainland China portfolio electricity demand met by renewable energy | % | 25 | 40 | |||
| Steam (MC) | GJ | 33560 | 175 | |||
| Steam (Total) | GJ | 33560 | 175 | |||
| Superfast 60kW chargers installed in Hang Tung Building, Hong Kong | chargers | 4 | 154 | |||
| Tenants benefiting from procured renewable energy | 2066 | 62 | ||||
| Total electricity consumed (HK) | GJ, MWh | 241259 | 175 | |||
| Total electricity consumed (MC) | GJ, MWh | 229078 | 175 | |||
| Total electricity consumed (Total) | GJ, MWh | 296094 | 175 | |||
| Total electricity consumed (indirect energy) share of energy consumption | percentage | 82.8% | 71 | |||
| Total energy consumed - HK | GJ | 247196 | 252030 | 241900 | 174 | |
| Total energy consumed - MC | GJ | 1085671 | 1087339 | 1045573 | 174 | |
| Total energy consumed - Total | GJ | 1332867 | 1339369 | 1287473 | 174 | |
| Total energy intensity - HK | MJ/m²/year | 342 | 349 | 329 | 174 | |
| Total energy intensity - MC | MJ/m²/year | 299 | 300 | 288 | 174 | |
| Total energy intensity - Total | MJ/m²/year | 306 | 308 | 295 | 174 | |
| Total liquid fuels (direct energy) share of energy consumption | percentage | 0.2% | 71 | |||
| Total liquid fuels - HK | GJ | 659 | 802 | 641 | 174 | |
| Total liquid fuels - MC | GJ | 1493 | 2139 | 1864 | 174 | |
| Total liquid fuels - Total | GJ | 2152 | 2941 | 2505 | 174 | |
| Total natural gas (direct energy) share of energy consumption | percentage | 3.0% | 71 | |||
| Total natural gas - MC | GJ | 45386 | 32743 | 38631 | 174 | |
| Total natural gas - Total | GJ | 45386 | 32743 | 38631 | 174 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Change in total water consumption compared to previous year | % | -3.5 | 73 |
| Change in water consumption in Hong Kong compared to previous year | % | 3.6 | 73 |
| Change in water consumption in Mainland China compared to previous year | % | -5.5 | 73 |
| Change in water intensity compared to 2018 baseline | % | -12.2 | 73 |
| Hot water (MC) | GJ | 146839 | 175 |
| Hot water (Total) | GJ | 146839 | 175 |
| Reduction in water intensity relative to 2018 | % reduction | 12.2 | 154 |
| Total municipal water (HK) | 000 m³ | 520 | 175 |
| Total municipal water (MC) | 000 m³ | 1734 | 175 |
| Total municipal water (Total) | 000 m³ | 2254 | 175 |
| Total water consumption | million m³ | 2.26 | 73 |
| Wastewater discharged (HK) | 000 m³ | 468 | 175 |
| Wastewater discharged (MC) | 000 m³ | 1560 | 175 |
| Wastewater discharged (Total) | 000 m³ | 2028 | 175 |
| Water consumption in Hong Kong | million m³ | 0.52 | 73 |
| Water consumption in Mainland China | million m³ | 1.74 | 73 |
| Water intensity | m³/m² | 0.52 | 73 |
| Water intensity (HK) | m³/m²/year | 0.71 | 175 |
| Water intensity (MC) | m³/m²/year | 0.48 | 175 |
| Water intensity (Total) | m³/m²/year | 0.52 | 175 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2025 | Report Pages |
|---|---|---|---|---|
| 2024 KPI: cumulative reduction in electricity intensity (kWh/m²) relative to 2018 | % | 16% | 69 | |
| 2025 Target: cumulative reduction in electricity intensity (kWh/m²) relative to 2018 | % | 18% | 69 | |
| Electricity Intensity (cumulative reduction relative to 2018) | % | 18 | 28 | |
| Electricity Intensity cumulative reduction in electricity intensity relative to 2018 | % | 18 | 40 | |
| Electricity intensity reduction (kWh/m2) relative to 2018 | % reduction | 19 | 157 | |
| Electricity intensity reduction (kWh/m²) relative to 2018 | % reduction | 19 | 154 | |
| Electricity intensity reduction compared to 2018 baseline | percentage | -19 | 71 | |
| Electricity intensity reduction target compared to 2018 baseline | percentage | -16 | -18 | 71 |
| Energy efficiency contribution to GHG emissions reduction | % | 18.97 | 53 |
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 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|
| 2024 KPI: Apply water saving measures in at least two Hong Kong properties | Completed | 73 | ||
| 2024 KPI: Have water recycling systems in use in at least six Mainland properties by the end of 2024 | Completed | 73 | ||
| Number of Mainland properties with water recycling systems | properties | 5 | 157 | |
| Operational Water Use (reduction in water intensity relative to 2018) | % | 10 | 28 | |
| Wastewater recycled for reuse (MC) | m³ | 69634 | 175 | |
| Wastewater recycled for reuse (Total) | m³ | 69634 | 175 | |
| Water restrictor installation rate for potable water faucets at Hang Lung Centre and Fashion Walk | % over | 50 | 157 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Existing properties and projects under development with green building certifications | % | 82 | 10 | |||
| Investments (Cat 15) | Tonnes CO2e | 15395 | 118 | 75 | 174 | |
| Marketing events evaluated for sustainability impacts | 100% | 29 | ||||
| Number of active construction sites | Number | 8 | 8 | 8 | 183 | |
| Plaza 66 Pavilion Extension project low carbon emissions steel usage in building structure | % | 100 | 10 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Properties and projects with completed technical analysis for climate adaptation measures | % | 90 | 154 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Administrative staff - HK | Number | 369 | 178 | |||
| Administrative staff - MC | Number | 1418 | 178 | |||
| Administrative staff - Total | Number | 1787 | 178 | |||
| Contract / Temporary employees (Female) - HK | Number | 1 | 178 | |||
| Contract / Temporary employees (Female) - Total | Number | 1 | 178 | |||
| Contract / Temporary employees (Male) - HK | Number | 7 | 178 | |||
| Contract / Temporary employees (Male) - Total | Number | 7 | 178 | |||
| Contract / Temporary employees - HK | Number | 8 | 178 | |||
| Contract / Temporary employees - Total | Number | 8 | 178 | |||
| Employees age 30–50 - HK | Number | 473 | 178 | |||
| Employees age 30–50 - MC | Number | 2447 | 178 | |||
| Employees age 30–50 - Total | Number | 2920 | 178 | |||
| Employees over 50 - HK | Number | 383 | 178 | |||
| Employees over 50 - MC | Number | 326 | 178 | |||
| Employees over 50 - Total | Number | 709 | 178 | |||
| Employees under 30 - HK | Number | 72 | 178 | |||
| Employees under 30 - MC | Number | 303 | 178 | |||
| Employees under 30 - Total | Number | 375 | 178 | |||
| Executive staff - HK | Number | 157 | 178 | |||
| Executive staff - MC | Number | 185 | 178 | |||
| Executive staff - Total | Number | 342 | 178 | |||
| Female employees - HK | Number | 410 | 178 | |||
| Female employees - MC | Number | 1230 | 178 | |||
| Female employees - Total | Number | 1640 | 178 | |||
| Female-to-Male pay ratio | 1.0957 | 1:1 | 29, 155 | |||
| Male employees - HK | Number | 518 | 178 | |||
| Male employees - MC | Number | 1846 | 178 | |||
| Male employees - Total | Number | 2364 | 178 | |||
| Number and percentage of female administrative staff (HK) | (61.5%) | 227 | 180 | |||
| Number and percentage of female administrative staff (MC) | (56.0%) | 794 | 180 | |||
| Number and percentage of female administrative staff (Total) | (57.1%) | 1021 | 180 | |||
| Number and percentage of female executive staff (HK) | (46.5%) | 73 | 180 | |||
| Number and percentage of female executive staff (MC) | (36.8%) | 68 | 180 | |||
| Number and percentage of female executive staff (Total) | (41.2%) | 141 | 180 | |||
| Number and percentage of female operational staff (HK) | (27.4%) | 110 | 180 | |||
| Number and percentage of female operational staff (MC) | (25.5%) | 368 | 180 | |||
| Number and percentage of female operational staff (Total) | (25.5%) | 478 | 180 | |||
| Number of staff members aged 60 or older | 94 | 100 | ||||
| Operational staff - HK | Number | 402 | 178 | |||
| Operational staff - MC | Number | 1473 | 178 | |||
| Operational staff - Total | Number | 1875 | 178 | |||
| Percentage of Executive Staff by Gender - Female | % | 41.2 | 100 | |||
| Percentage of Executive Staff by Gender - Male | % | 58.8 | 100 | |||
| Percentage of Han Chinese in management positions (HK) | % | 92.4 | 180 | |||
| Percentage of Han Chinese in management positions (MC) | % | 94.1 | 180 | |||
| Percentage of Han Chinese in management positions (Total) | % | 93.3 | 180 | |||
| Percentage of Non-Chinese in management positions (HK) | % | 7.6 | 180 | |||
| Percentage of Non-Chinese in management positions (MC) | % | 3.8 | 180 | |||
| Percentage of Non-Chinese in management positions (Total) | % | 5.6 | 180 | |||
| Percentage of Other Chinese in management positions (MC) | % | 2.2 | 180 | |||
| Percentage of Other Chinese in management positions (Total) | % | 1.2 | 180 | |||
| Percentage of Staff by Age Group - 30–50 | % | 72.9 | 100 | |||
| Percentage of Staff by Age Group - Over 50 | % | 17.7 | 100 | |||
| Percentage of Staff by Age Group - Under 30 | % | 9.4 | 100 | |||
| Percentage of female executive staff in revenue-generating functions (HK) | % | 52 | 180 | |||
| Percentage of female executive staff in revenue-generating functions (MC) | % | 52 | 180 | |||
| Percentage of female executive staff in revenue-generating functions (Total) | % | 52 | 180 | |||
| Percentage of female in STEM-related positions (HK) | % | 28 | 180 | |||
| Percentage of female in STEM-related positions (MC) | % | 15 | 180 | |||
| Percentage of female in STEM-related positions (Total) | % | 19 | 180 | |||
| Percentage of female in junior management positions (HK) | % | 46.8 | 180 | |||
| Percentage of female in junior management positions (MC) | % | 40.1 | 180 | |||
| Percentage of female in junior management positions (Total) | % | 43 | 180 | |||
| Percentage of total employees covered by collective contracts (HK) | % | 0% | 0% | 0% | 183 | |
| Percentage of total employees covered by collective contracts (MC) | % | 39% | 39% | 38% | 183 | |
| Percentage of total employees covered by collective contracts (Total) | % | N/A | N/A | N/A | 183 | |
| Permanent Full Time employees (Female) - HK | Number | 406 | 178 | |||
| Permanent Full Time employees (Female) - MC | Number | 1225 | 178 | |||
| Permanent Full Time employees (Female) - Total | Number | 1631 | 178 | |||
| Permanent Full Time employees (Male) - HK | Number | 511 | 178 | |||
| Permanent Full Time employees (Male) - MC | Number | 1845 | 178 | |||
| Permanent Full Time employees (Male) - Total | Number | 2356 | 178 | |||
| Permanent Full Time employees - HK | Number | 917 | 178 | |||
| Permanent Full Time employees - MC | Number | 3070 | 178 | |||
| Permanent Full Time employees - Total | Number | 3987 | 178 | |||
| Permanent Part Time employees (Female) - HK | Number | 3 | 178 | |||
| Permanent Part Time employees (Female) - Total | Number | 3 | 178 | |||
| Permanent Part Time employees - HK | Number | 3 | 178 | |||
| Permanent Part Time employees - Total | Number | 3 | 178 | |||
| Ratio of base salary and other cash incentives of women to men by management level - Executive level (Total) | 1:1.165 | 180 | ||||
| Ratio of base salary and other cash incentives of women to men by management level - Management level (Total) | 1:1.116 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Administrative staff (HK) | 1.152 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Administrative staff (MC) | 1.109 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Administrative staff (Total) | 1.14 | 180 | ||||
| Ratio of basic salary of women to men by employee category - All staff (HK) | 1.06 | 180 | ||||
| Ratio of basic salary of women to men by employee category - All staff (MC) | 1.009 | 180 | ||||
| Ratio of basic salary of women to men by employee category - All staff (Total) | 0.957 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Executive staff (HK) | 1.126 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Executive staff (MC) | 1.152 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Executive staff (Total) | 1.137 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Operational staff (HK) | 1.179 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Operational staff (MC) | 1.041 | 180 | ||||
| Ratio of basic salary of women to men by employee category - Operational staff (Total) | 1.146 | 180 | ||||
| Ratio of basic salary of women to men by management level - Executive level (Total) | 1:1.125 | 180 | ||||
| Ratio of basic salary of women to men by management level - Management level (Total) | 1:1.127 | 180 | ||||
| Ratio of basic salary of women to men by management level - Non-management level (Total) | 1:0.911 | 180 | ||||
| Return to work rate by gender (Female, Total) | % | 98% | 100% | 98% | 181 | |
| Return to work rate by gender (Male, Total) | % | 100% | 100% | 100% | 181 | |
| Supervised workers - HK | Number | 50 | 178 | |||
| Supervised workers - MC | Number | 49 | 178 | |||
| Supervised workers - Total | Number | 99 | 178 | |||
| Total hours worked (HK) | Hours | 2352395 | 2380526 | 2141026 | 183 | |
| Total hours worked (MC) | Hours | 6459487 | 6553524 | 6468543 | 183 | |
| Total hours worked (Total) | Hours | 8811882 | 8934050 | 8609569 | 183 | |
| Total man-hours (contractor) | Hours | 7798114 | 9571237 | 8366515 | 183 | |
| Total number of employees entitled to parental leave (Female, Total) | Number | 1744 | 1749 | 1640 | 181 | |
| Total number of employees entitled to parental leave (Male, Total) | Number | 2505 | 2464 | 2364 | 181 | |
| Total number of employees entitled to parental leave (Total) | Number | 4249 | 4213 | 4004 | 181 | |
| Total number of employees took parental leave (Female, Total) | Number | 62 | 53 | 56 | 181 | |
| Total number of employees took parental leave (Male, Total) | Number | 38 | 34 | 36 | 181 | |
| Total number of employees took parental leave (Total) | Number | 100 | 87 | 92 | 181 | |
| Total number of paid parental leave offered (Female, Total) | Number of weeks | N/A | N/A | 1658 | 181 | |
| Total number of paid parental leave offered (Male, Total) | Number of weeks | N/A | N/A | 88 | 181 | |
| Total number of paid parental leave offered (Total) | Number of weeks | N/A | N/A | 1746 | 181 | |
| Total workforce (employees and supervised workers) - HK | Number | 978 | 178 | |||
| Total workforce (employees and supervised workers) - MC | Number | 3125 | 178 | |||
| Total workforce (employees and supervised workers) - Total | Number | 4103 | 178 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Absentee rate (HK) | % | 2.00% | 2.32% | 2.36% | 183 |
| Absentee rate (MC) | % | 1.56% | 1.50% | 1.27% | 183 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Fatalities rate (HK) | % | 0% | 0% | 0% | 183 |
| Fatalities rate (MC) | % | 0% | 0% | 0% | 183 |
| Fatalities rate (Total) | % | 0% | 0% | 0% | 183 |
| High-consequence work-related injuries (HK) | Number | 2 | 183 | ||
| High-consequence work-related injuries (MC) | Number | 3 | 2 | 183 | |
| High-consequence work-related injuries (Total) | Number | 3 | 2 | 2 | 183 |
| Injury rate (per 100 employees) (HK) | N/A | 1.7 | 1.93 | 1.31 | 183 |
| Injury rate (per 100 employees) (MC) | N/A | 0.99 | 0.67 | 0.71 | 183 |
| Injury rate (per 100 employees) (Total) | N/A | 1.18 | 1.01 | 0.86 | 183 |
| Number of accidents (contractor) | Number | 1 | 2 | 183 | |
| Rate of high-consequence work-related injuries (per 100 employees) (HK) | N/A | 0.17 | 183 | ||
| Rate of high-consequence work-related injuries (per 100 employees) (MC) | N/A | 0.09 | 0.06 | 183 | |
| Rate of high-consequence work-related injuries (per 100 employees) (Total) | N/A | 0.07 | 0.04 | 0.05 | 183 |
| Work-related injuries (HK) | Number | 20 | 23 | 14 | 183 |
| Work-related injuries (MC) | Number | 32 | 22 | 23 | 183 |
| Work-related injuries (Total) | Number | 52 | 45 | 37 | 183 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Absentee rate (Total) | % | 1.67% | 1.72% | 1.53% | 183 | |
| Lost Time Injury Rate for employees | or below | 0.79 | 1.5 | 29, 155 | ||
| Lost day rate (per 100 employees) (HK) | N/A | 32.9 | 87.38 | 93.18 | 183 | |
| Lost day rate (per 100 employees) (MC) | N/A | 29.78 | 12.27 | 33.33 | 183 | |
| Lost day rate (per 100 employees) (Total) | N/A | 30.61 | 32.28 | 48.21 | 183 | |
| Lost days due to work-related injuries (HK) | Days | 387 | 1040 | 998 | 183 | |
| Lost days due to work-related injuries (MC) | Days | 962 | 402 | 1078 | 183 | |
| Lost days due to work-related injuries (Total) | Days | 1349 | 1442 | 2075 | 183 | |
| Lost-time injury frequency rate (LTIFR) (HK) | Number of injuries/ million hours worked, Number of injuries/million hours worked | N/A | N/A | 6.54 | 183, 184 | |
| Lost-time injury frequency rate (LTIFR) (MC) | Number of injuries/ million hours worked, Number of injuries/million hours worked | N/A | 3.05 | 3.09 | 183, 184 | |
| Lost-time injury frequency rate (LTIFR) (Total) | Number of injuries/ million hours worked, Number of injuries/million hours worked | N/A | 4.59 | 3.95 | 183, 184 | |
| Lost-time work-related injuries (HK) | Number | 19 | 21 | 14 | 183 | |
| Lost-time work-related injuries (MC) | Number | 14 | 20 | 20 | 183 | |
| Lost-time work-related injuries (Total) | Number | 33 | 41 | 34 | 183 | |
| Number of accidents per 100000 man-hours (HK) | Number of accidents per 100000 hours worked | 0.113 | 0.121 | 184 | ||
| Number of accidents per 100000 man-hours (MC) | Number of accidents per 100000 hours worked | 0.011 | 184 | |||
| Number of accidents per 100000 man-hours (Total) | Number of accidents per 100000 hours worked | 0.014 | 0.021 | 184 | ||
| Number of lost-time injuries (HK) | Number | N/A | N/A | 184 | ||
| Number of lost-time injuries (MC) | Number | N/A | N/A | 184 | ||
| Number of lost-time injuries (Total) | Number | N/A | N/A | 184 | ||
| Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (HK) | N/A | 1.62 | 1.76 | 1.31 | 183 | |
| Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (MC) | N/A | 0.43 | 0.61 | 0.62 | 183 | |
| Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (Total) | N/A | 0.75 | 0.92 | 0.79 | 183 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of near-misses (HK) | Number | 2 | 1 | 184 | |
| Number of near-misses (MC) | Number | 4 | 5 | 184 | |
| Number of near-misses (Total) | Number | 6 | 6 | 184 | |
| Percentage of employee received occupational health and safety training by employee category - Administrative staff (Total) | % | 100 | 182 | ||
| Percentage of employee received occupational health and safety training by employee category - Executive staff (Total) | % | 99 | 182 | ||
| Percentage of employee received occupational health and safety training by employee category - Operational staff (Total) | % | 100 | 182 | ||
| Training hours by topics - Occupational health and safety (Total) | Hours | 13813 | 19424 | 20686 | 182 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Employee engagement performance in Gallup Overall Database | percentile | 79 | 10 | |||
| Employee engagement rating (greater than or equal to 75th percentile) | percentile | >=75 | 29 | |||
| Employee engagement rating (percentile) | percentile | 79 | 155 | |||
| Employee engagement score | 4.41 | 4.48 | 94 | |||
| Employees receiving regular performance and career development reviews - By employee category - Administrative staff (Total) | % | 100 | 100 | 100 | 182 | |
| Employees receiving regular performance and career development reviews - By employee category - Executive staff (Total) | % | 100 | 100 | 100 | 182 | |
| Employees receiving regular performance and career development reviews - By employee category - Operational staff (Total) | % | 100 | 100 | 100 | 182 | |
| Employees receiving regular performance and career development reviews - By gender - Female (Total) | % | 100 | 100 | 100 | 182 | |
| Employees receiving regular performance and career development reviews - By gender - Male (Total) | % | 100 | 100 | 100 | 182 | |
| Employees receiving regular performance and career development reviews - Percentage of total employees (Total) | % | 100 | 100 | 100 | 182 | |
| Percentage of employee trained by employee category - Administrative staff (Total) | % | 99.8 | 99.8 | 99.9 | 182 | |
| Percentage of employee trained by employee category - Executive staff (Total) | % | 99.7 | 99.2 | 99.7 | 182 | |
| Percentage of employee trained by employee category - Operational staff (Total) | % | 99.4 | 99.5 | 99.7 | 182 | |
| Percentage of employee trained by gender - Female (Total) | % | 99.8 | 99.7 | 99.9 | 182 | |
| Percentage of employee trained by gender - Male (Total) | % | 99.5 | 99.6 | 99.7 | 182 | |
| Training sponsorship granted | HKD | 912423 | 94 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average amount spent on training and development per employee (Total) | HK$ | 1967 | 181 | ||
| Average hours of employee training (Total) | Hours per employee | 24 | 30.1 | 34.2 | 181 |
| Average training hours by employee category (Administrative staff, Total) | Hours | 18.5 | 26.3 | 28.1 | 181 |
| Average training hours by employee category (Executive staff, Total) | Hours | 32.2 | 30.9 | 27.7 | 181 |
| Average training hours by employee category (Operational staff, Total) | Hours | 27.3 | 33.4 | 41.2 | 181 |
| Average training hours by gender (Female, Total) | Hours | 24.1 | 32.3 | 33.4 | 181 |
| Average training hours by gender (Male, Total) | Hours | 23.9 | 28.5 | 34.8 | 181 |
| Average training hours per employee | hours | 24 | 30.1 | 34.2 | 94 |
| Hours of ESG training delivered to specific departments | hours | 1009 | 155 | ||
| Total employee training hours | hours | 101824 | 126704 | 136997 | 94 |
| Total hours of employee training (Total) | Hours | 101824 | 126704 | 136997 | 181 |
| Training hours - Company and Market Knowledge | hours | 48000 | 94 | ||
| Training hours - Functional | hours | 74775 | 94 | ||
| Training hours - Leadership / Management | hours | 4616 | 94 | ||
| Training hours - Personal Effectiveness | hours | 9606 | 94 | ||
| Training hours by topics - Crisis management (Total) | Hours | 5057 | 9191 | 8859 | 182 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Purchased goods & services (Cat 1) - HK | Tonnes CO2e | 31844 | 21748 | 51615 | 173 |
| Purchased goods & services (Cat 1) - MC | Tonnes CO2e | 219950 | 558443 | 182726 | 173 |
| Purchased goods & services (Cat 1) - Total | Tonnes CO2e | 251794 | 580191 | 234340 | 173 |
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 | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|---|
| Green bond amount issued in Hong Kong | HK$M, USD'M | 500 | 750 | 605 | 400 | 118 | |
| Green bond equivalent HK$M issued in Hong Kong | HK$M | 391 | 118 | ||||
| Green loan drawn amount arranged in Mainland - Forum 66, Shenyang | RMB'M | 455 | 118 | ||||
| Green loan drawn amount arranged in Mainland - Heartland 66, Wuhan | RMB'M | 800 | 118 | ||||
| Green loan drawn amount arranged in Mainland - Parc 66, Jinan | RMB'M | 470 | 118 | ||||
| Green loan drawn amount arranged in Mainland - Riverside 66, Tianjin | RMB'M | 214 | 118 | ||||
| Green loan drawn amount arranged in Mainland - Spring City 66, Kunming | RMB'M | 1541 | 400 | 118 | |||
| Green loan drawn amount arranged in Mainland - Westlake 66, Hangzhou | RMB'M | 630 | 498 | 387 | 118 | ||
| Green loan facility amount arranged in Hong Kong | HK$M | 500 | 118 | ||||
| Green loan facility amount arranged in Mainland - Forum 66, Shenyang | RMB'M | 455 | 118 | ||||
| Green loan facility amount arranged in Mainland - Heartland 66, Wuhan | RMB'M | 550 | 118 | ||||
| Green loan facility amount arranged in Mainland - Parc 66, Jinan | RMB'M | 470 | 118 | ||||
| Green loan facility amount arranged in Mainland - Riverside 66, Tianjin | RMB'M | 214 | 118 | ||||
| Green loan facility amount arranged in Mainland - Spring City 66, Kunming | RMB'M | 1541 | 400 | 118 | |||
| Green loan facility amount arranged in Mainland - Westlake 66, Hangzhou | RMB'M | 1859 | 500 | 500 | 118 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| Potential asset acquisitions including ESG due diligence | 100% | 29 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2024 | 2025 | Report Pages |
|---|---|---|---|---|
| Hong Kong tenants participating in LightWise Program | % | 19 | 62 | |
| Leases incorporating sustainability provisions | 100% | 29 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Net Promoter Score from post-event employee survey | % | 85 | 100 | ||
| Product (Cat 1a) - HK | Tonnes CO2e | 18615 | 5783 | 18324 | 173 |
| Product (Cat 1a) - MC | Tonnes CO2e | 196852 | 528264 | 156860 | 173 |
| Product (Cat 1a) - Total | Tonnes CO2e | 215467 | 534047 | 175184 | 173 |
| Tenants representing total leasable area on sustainability initiatives | % | 11 | 10 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Training hours by topics - Data privacy and cyber security (Total) | Hours | 4355 | 7620 | 9605 | 182 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Percentage of employee received anti-corruption training by employee category - Administrative staff (Total) | % | 99 | 99 | 99 | 182 |
| Percentage of employee received anti-corruption training by employee category - Executive staff (Total) | % | 98 | 97 | 97 | 182 |
| Percentage of employee received anti-corruption training by employee category - Operational staff (Total) | % | 98 | 99 | 99 | 182 |
| Training hours by topics - Anti-corruption Training (Total) | Hours | 5004 | 5073 | 4295 | 182 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Mainland tenants participating in LightWise Program | % | over 93 | 62 |
| Number of people positively impacted by volunteer activities | people | 30817 | 101 |
| People benefited by Hang Lung As One volunteer team in Hong Kong and mainland China | people | 30800 | 10 |
| Total sales revenue from NGO bazaars at Friday Cheers | HKD | 38000 | 100 |
| Volunteering activities related to youth development (all properties) | percent | 56 | 155 |
| WELL Health and Safety Rating coverage for Mainland properties | percent | 87 | 155 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Charitable donations | million HKD | 5 | 101 | ||
| Community investment contributions: cash | percentage | 78% | 101 | ||
| Community investment contributions: in-kind | percentage | 5% | 101 | ||
| Community investment contributions: volunteer time | percentage | 17% | 101 | ||
| Number of volunteer activities | activities | 119 | 101 | ||
| Number of volunteers participating in community activities | volunteers | 2838 | 101 | ||
| Total volunteer hours contributed | hours | 68955 | 101 | ||
| Volunteer hours contributed by Hang Lung As One volunteer team | hours | 68900 | 10 | ||
| Volunteer hours in Hong Kong | hours | 6832 | 10431 | 12306 | 101 |
| Volunteer hours in Mainland China | hours | 11765 | 59460 | 56649 | 101 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 2 |
| NOâ‚“ Emissions | kg | 27 |
| SOâ‚“ Emissions | kg | 0.8 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonnes CO2e | 100000 | 100000 | 100000 | 10000 |
| Indirect Energy Emissions (Scope 2) | Tonnes CO2e | 200000 | 200000 | 200000 | 200000 |
| Scope 3 GHG Emissions (Business Travel) | Tonnes CO2e | 442 | 1879 | 1650 | |
| Scope 3 GHG Emissions (Downstream Leased Assets) | Tonnes CO2e | 129025 | 155101 | 136075 | |
| Scope 3 GHG Emissions (Employee Commuting) | Tonnes CO2e | 1516 | 1595 | 1522 | |
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | Tonnes CO2e | 16527 | 41410 | 29675 | |
| Scope 3 GHG Emissions (Purchased Goods/Services) | Tonnes CO2e | 320 | 560 | 220 | |
| Scope 3 GHG Emissions (Upstream Leased Assets) | Tonnes CO2e | None | 172 | 157 | |
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | Tonnes CO2e | 11110 | 1918 | ||
| Scope 3 GHG Emissions (Use of Sold Products) | Tonnes CO2e | 7290 | |||
| Total GHG Emissions | Tonnes CO2e | 1000000 | 1100000 | 910000 | |
| Total GHG Emissions Intensity (By Area) | Tonnes CO2e/m2/year | 0.0432 | 0.0437 | 0.0402 | |
| Total Other Indirect Energy Emissions (Scope 3) | Tonnes CO2e | 600000 | 700000 | 800000 | 700000 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Hazardous Waste Disposed | tonnes | 13.93 |
| Total Hazardous Waste | tonnes | 13.93 |
| Total Hazardous Waste Intensity (By Area) | kg/m²/year | 0.0032 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Diversion Rate of Non-Hazardous Waste | % | 62 |
| Glass Waste | kg | 53229 |
| Non-Hazardous Waste (Electronic Waste) | pieces | 1708 |
| Non-Hazardous Waste Landfilling | tonnes | 47807 |
| Non-Hazardous Waste Recycled | kg | 12124654 |
| Paper Waste | kg | 372815 |
| Plastic Waste | kg | 48285 |
| Total Non-Hazardous Waste Intensity (By Area) | kg/m²/year | 13.9 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2025 |
|---|---|---|---|
| Percentage of Reduction in GHG Intensity Compared to Last Year | % | -51 | |
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 35.8 | |
| Scope 3 Emissions Reduction Percentage Compared to Last Year | % | -46.3 | |
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2018 | % | -70 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2025 |
|---|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 92 | 60 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Diesel Fuel Consumption | GJ | 536 | 741 | 728 | |
| Energy Consumption Intensity (By Area per Year) | MJ/m²/year | 306 | 308 | 295 | |
| Gasoline Consumption | GJ | 1616 | 2200 | 1776 | |
| Natural Gas Consumption | GJ | 45386 | 32743 | 38631 | |
| Percentage of Renewable Energy Consumption | % | 48 | 25 | ||
| Purchased Electricity | MWh | 296094 | |||
| Purchased Electricity Intensity (By Area) | kWh/m²/year | 67.9 | |||
| Purchased Steam | GJ | 33560 | |||
| Renewable Energy Consumption | MWh | 110244 | |||
| Solar Energy | MWh | 617 | |||
| Total Direct Energy Consumption | GJ | 2152 | 2941 | 2505 | |
| Total Energy Consumption | GJ | 1332867 | 1339369 | 1287473 | |
| Total Indirect Energy Consumption | GJ | 1310715 | 1316428 | 1264968 | |
| Total Non-Renewable Fuel Consumption | GJ | 2152 | 2941 | 2505 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Municipal Water Consumption | million m³ | 2.254 |
| Total Wastewater Discharge | million m³ | 2.028 |
| Total Water Withdrawal | million m³ | 2.26 |
| Water Consumption | million m³ | 2.26 |
| Water Consumption Intensity (By Revenue) | m³/m²/year | 0.52 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2025 |
|---|---|---|---|
| Target Electricity Usage Reduction Percentage Compared to Last Year | percentage | -16 | -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 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 10 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Percentage of Funds Used to Implement Climate Projects | % | 90 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Contractors | Hours | 8366515 | ||
| Number of Employees Aged 30-50 | Number | 2920 | ||
| Number of Employees Aged Above 50 | Number | 709 | ||
| Number of Employees Aged Below 30 | Number | 375 | ||
| Number of Employees in Hong Kong | Number | 928 | ||
| Number of Employees in Hong Kong (Female) | Number | 410 | ||
| Number of Employees in Hong Kong (Male) | Number | 518 | ||
| Number of Employees in Hong Kong and Mainland China | Number | 3998 | ||
| Number of Employees in Mainland China | Number | 3070 | ||
| Number of Employees in Mainland China (Female) | Number | 1230 | ||
| Number of Employees in Mainland China (Male) | Number | 1846 | ||
| Number of Female Employees | Number | 1744 | 1749 | 1640 |
| Number of Full-time Employees | Number | 3987 | ||
| Number of Full-time Employees (Female) | Number | 1631 | ||
| Number of Full-time Employees (Male) | Number | 2356 | ||
| Number of Male Employees | Number | 2505 | 2464 | 2364 |
| Number of Part-time Employees | Number | 3 | ||
| Number of Part-time Employees (Female) | Number | 3 | ||
| Number of Temporary Workers | Number | 8 | ||
| Number of Temporary Workers (Female) | Number | 1 | ||
| Number of Temporary Workers (Male) | Number | 7 | ||
| Number of Total Employees | Number | 4249 | 4213 | 4004 |
| Percentage of Employees Aged 30-50 | % | 72.9 | ||
| Percentage of Employees Aged Above 50 | % | 17.7 | ||
| Percentage of Employees Aged Below 30 | % | 9.4 | ||
| Percentage of Female Employees | % | 40.96 | ||
| Percentage of Full-time Employees | % | 99.58 | ||
| Percentage of Male Employees | % | 59.04 | ||
| Percentage of Part-time Employees | % | 0.07 | ||
| Percentage of Temporary Workers | % | 0.2 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Days | 1349 | 1442 | 2075 | |
| Lost Days Due to Work-related Injuries (Hong Kong) | Days | 387 | 1040 | 998 | |
| Lost Days Due to Work-related Injuries (Mainland China) | Days | 962 | 402 | 1078 | |
| Lost Time Injury Frequency Rate (Employees) | or below | 0.79 | 1.5 | ||
| Lost Time Injury Frequency Rate (Hong Kong) | Number of injuries/ million hours worked | 8.08 | 8.82 | 6.54 | |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | Number of injuries/ million hours worked | 3.74 | 4.59 | 3.95 | |
| Lost Time Injury Frequency Rate (Mainland China) | Number of injuries/ million hours worked | 2.17 | 3.05 | 3.09 |
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 | ||
| Total Hours of Safety Training for Employees | Hours | 13813 | 19424 | 20686 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Trained Administrative Employees | % | 99.8 | 99.8 | 99.9 |
| Percentage of Trained Executive Employees | % | 99.7 | 99.2 | 99.7 |
| Percentage of Trained Female Employees | % | 99.8 | 99.7 | 99.9 |
| Percentage of Trained Male Employees | % | 99.5 | 99.6 | 99.7 |
| Percentage of Trained Operational Employees | % | 99.4 | 99.5 | 99.7 |
| Total Cost of Training | HKD | 912423 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Administrative Employees) | hours | 18.5 | 26.3 | 28.1 |
| Average Training Hours (Executive Employees) | hours | 32.2 | 30.9 | 27.7 |
| Average Training Hours (Female) | hours | 24.1 | 32.3 | 33.4 |
| Average Training Hours (Male) | hours | 23.9 | 28.5 | 34.8 |
| Average Training Hours (Operational Employees) | hours | 27.3 | 33.4 | 41.2 |
| Average Training Hours per Employee | hours per employee | 24 | 30.1 | 34.2 |
| Total Training Hours | hours | 101824 | 126704 | 136997 |
| Training Hours of ESG | hours | 1009 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 99 | 99 | 99 |
| Total Hours of Anti-corruption Training | Hours | 5004 | 5073 | 4295 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Participating in Volunteer Activities | volunteers | 2838 | ||
| Number of Volunteer Activities Sessions | activities | 119 | ||
| Total Volunteer Service Hours | hours | 18697 | 69891 | 68955 |