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 |
---|---|---|---|
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) - MC | Tonnes CO2e | 4132 | 173 | |||||
Building operation (Scope 1) - Total | Tonnes CO2e | 4132 | 173 | |||||
Building operation (Scope 2) - HK | Tonnes CO2e | 35634 | 173 | |||||
Building operation (Scope 2) - MC | Tonnes CO2e | 135403 | 173 | |||||
Building operation (Scope 2) - Total | Tonnes CO2e | 171037 | 173 | |||||
Building operation (Scope 2) - market-based - HK | Tonnes CO2e | 35634 | 173 | |||||
Building operation (Scope 2) - market-based - MC | Tonnes CO2e | 89433 | 173 | |||||
Building operation (Scope 2) - market-based - Total | Tonnes CO2e | 125067 | 173 | |||||
Business travel (Cat 6) - HK | Tonnes CO2e | 775 | 173 | |||||
Business travel (Cat 6) - MC | Tonnes CO2e | 875 | 173 | |||||
Business travel (Cat 6) - Total | Tonnes CO2e | 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 | |||
Company vehicles and vessels (Scope 1) - HK | Tonnes CO2e | 50 | 173 | |||||
Company vehicles and vessels (Scope 1) - MC | Tonnes CO2e | 110 | 173 | |||||
Company vehicles and vessels (Scope 1) - Total | Tonnes CO2e | 160 | 173 | |||||
Downstream leased assets (Cat 13) - Total | Tonnes CO2e | 129025 | 155101 | 136075 | 174 | |||
Emissions from HCFCs (outside GHG accounting boundary) | tCO2e | 32 | 177 | |||||
Employee commuting (Cat 7) - Total | Tonnes CO2e | 1516 | 1595 | 1522 | 174 | |||
Fuel and energy related activities (Cat 3) - HK | Tonnes CO2e | 10439 | 173 | |||||
Fuel and energy related activities (Cat 3) - MC | Tonnes CO2e | 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 | kgCO2e/m² | 15% | 40 | |||||
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 | 50 | 173 | |||||
Gross direct emission (Scope 1) - MC | Tonnes CO2e | 4242 | 173 | |||||
Gross direct emission (Scope 1) - Total | Tonnes CO2e | 4292 | 173 | |||||
Gross indirect emission (Scope 2) - location-based - HK | Tonnes CO2e | 35634 | 173 | |||||
Gross indirect emission (Scope 2) - location-based - MC | Tonnes CO2e | 135403 | 173 | |||||
Gross indirect emission (Scope 2) - location-based - Total | Tonnes CO2e | 171037 | 173 | |||||
Gross indirect emission (Scope 2) - market-based - HK | Tonnes CO2e | 35634 | 173 | |||||
Gross indirect emission (Scope 2) - market-based - MC | Tonnes CO2e | 89433 | 173 | |||||
Gross indirect emission (Scope 2) - market-based - Total | Tonnes CO2e | 125067 | 173 | |||||
Gross indirect emission (Scope 3) - HK | Tonnes CO2e | 137849 | 173 | |||||
Gross indirect emission (Scope 3) - MC | Tonnes CO2e | 306887 | 173 | |||||
Gross indirect emission (Scope 3) - Total | Tonnes CO2e | 444736 | 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 2023 | % | -67.2 | 58 | |||||
Scope 1 emissions as percentage of total GHG emissions | 0.7% | 52 | ||||||
Scope 2 emissions as percentage of total GHG emissions | 21.8% | 52 | ||||||
Scope 3 Carbon Emissions — Downstream leased assets (Cat 13) | kg CO2e | 110000 | 120000 | 120000 | 120000 | 110000 | 54 | |
Scope 3 Carbon Emissions — Other categories | kg CO2e | 30000 | 40000 | 40000 | 50000 | 50000 | 54 | |
Scope 3 Carbon Emissions — Purchased goods & services (Cat 1) | kg CO2e | 130000 | 240000 | 270000 | 570000 | 230000 | 54 | |
Scope 3 Emissions Breakdown — Business travel (Cat 6) | percentage | 0.4% | 54 | |||||
Scope 3 Emissions Breakdown — Capital goods (Cat 2) | percentage | 2.9% | 54 | |||||
Scope 3 Emissions Breakdown — Downstream leased assets (Cat 13) | percentage | 30.6% | 54 | |||||
Scope 3 Emissions Breakdown — Employee commuting (Cat 7) | percentage | 0.3% | 54 | |||||
Scope 3 Emissions Breakdown — End-of-life treatment of sold products (Cat 12) | percentage | 0.03% | 54 | |||||
Scope 3 Emissions Breakdown — Fuel and energy related activities (Cat 3) | percentage | 6.7% | 54 | |||||
Scope 3 Emissions Breakdown — Investments (Cat 15) | percentage | 2.2% | 54 | |||||
Scope 3 Emissions Breakdown — Purchased goods & services (Cat 1) | percentage | 52.7% | 54 | |||||
Scope 3 Emissions Breakdown — Upstream leased assets (Cat 8) | percentage | 0.04% | 54 | |||||
Scope 3 Emissions Breakdown — Upstream transportation and distribution (Cat 4) | percentage | 0.43% | 54 | |||||
Scope 3 Emissions Breakdown — Use of sold products (Cat 11) | percentage | 1.6% | 54 | |||||
Scope 3 Emissions Breakdown — Waste generated in operations (Cat 5) | percentage | 2.1% | 54 | |||||
Scope 3 GHG emissions increase compared to 2020 base year | increase | 29% | 52 | |||||
Scope 3 emissions as percentage of total GHG emissions | 77.5% | 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 | |||||
Tenant GHG Intensity Reduction from 2018 Baseline | % | -15.6 | -31 | -39 | 62 | |||
Total GHG Emissions (Scope 1 & 2) - building operations only, location-based, HK | Tonnes CO2e | 38586 | 38704 | 35634 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - building operations only, location-based, MC | Tonnes CO2e | 149259 | 151126 | 139536 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - building operations only, location-based, Total | Tonnes CO2e | 187845 | 189830 | 175170 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - building operations only, market-based, HK | Tonnes CO2e | 38586 | 38704 | 35634 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - building operations only, market-based, MC | Tonnes CO2e | 134028 | 125460 | 93565 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - building operations only, market-based, Total | Tonnes CO2e | 172614 | 164164 | 129199 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - location-based, HK | Tonnes CO2e | 38636 | 38765 | 35684 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - location-based, MC | Tonnes CO2e | 149358 | 151266 | 139646 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - location-based, Total | Tonnes CO2e | 187994 | 190031 | 175330 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - market-based, HK | Tonnes CO2e | 38636 | 38765 | 35684 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - market-based, MC | Tonnes CO2e | 134127 | 125600 | 93676 | 172 | |||
Total GHG Emissions (Scope 1 & 2) - market-based, Total | Tonnes CO2e | 172763 | 164365 | 129360 | 172 | |||
Total Scope 1 carbon emissions | Tonnes CO2e | 50000 | 50000 | 50000 | 10000 | 52 | ||
Total Scope 2 carbon emissions | Tonnes CO2e | 200000 | 200000 | 200000 | 300000 | 52 | ||
Total Scope 3 carbon emissions | Tonnes CO2e | 700000 | 800000 | 900000 | 1000000 | 52 | ||
Upstream leased assets (Cat 8) - Total | Tonnes CO2e | N/A | 172 | 157 | 174 | |||
Upstream transportation and distribution (Cat 4) - HK | Tonnes CO2e | 151 | 173 | |||||
Upstream transportation and distribution (Cat 4) - MC | Tonnes CO2e | 1767 | 173 | |||||
Upstream transportation and distribution (Cat 4) - Total | Tonnes CO2e | 1918 | 173 | |||||
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 | 2024 | Report Pages |
---|---|---|---|
Capital goods (Cat 2) - HK | Tonnes CO2e | 1123 | 173 |
Capital goods (Cat 2) - MC | Tonnes CO2e | 11623 | 173 |
Capital goods (Cat 2) - Total | Tonnes CO2e | 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 (including incineration and recycling) | % | 62 | 155 |
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 | 7773 | 173 |
Waste generated in operations (Cat 5) - MC | Tonnes CO2e | 1694 | 173 |
Waste generated in operations (Cat 5) - Total | Tonnes CO2e | 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 | 2025 | Report Pages |
---|---|---|---|---|
Comprehensive construction waste study for Mainland China and Hong Kong development projects | Completed | 157 | ||
Diversion rate for construction waste | % | 92 | 154 | |
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 | |
Operational Waste diverted from landfill | % | 70 | 28 | |
Recycled Westlake 66's waste concrete into low-carbon recycled concrete aggregate (RCA) and recycled low-carbon concrete bricks | tonnes | 100 | 61 | |
Recycled waste - Food waste | kg | 12124654 | 176 | |
Recycled waste - Glass | kg | 53229 | 176 | |
Recycled waste - Metal | kg | 51919 | 176 | |
Recycled waste - Paper | kg | 372815 | 176 | |
Recycled waste - Plastics | kg | 48285 | 176 | |
Recycled waste - Textiles / Clothing | kg | 2176 | 176 | |
Recycled waste - WEEE | pieces | 1708 | 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 (relative to 2018) | reduction (kg CO2e/m²) | 35% | 52 | ||
2025 Target reduction in GHG intensity (kg CO2e/m2) from tenants' electricity consumption for properties in mainland China, relative to 2018 | % | 15 | 61 | ||
Carbon emissions avoided from landlord's green energy consumption in mainland China | tCO2e | 53246 | 55 | ||
Carbon emissions avoided from tenant's green energy consumption in mainland China | tCO2e | 47325 | 55 | ||
Embodied Carbon Intensity reduction for new development projects beginning in 2022 or later compared to typical practice | % | 10 | 28 | ||
GHG Intensity cumulative reduction relative to 2018 | %, kgCO2e/m² | 40% | 28, 40 | ||
GHG emissions avoided by procuring renewable energy | tCO2e | 47325 | 62 | ||
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 | ||
Plaza 66 Pavilion Extension absolute carbon emissions reduction | % reduction | 35 | 157 | ||
Plaza 66 Pavilion Extension embodied carbon intensity reduction compared to baseline steel emissions | % reduction | 53 | 157 | ||
Reduction in Scope 1 and 2 GHG emissions intensity compared to 2018 baseline | percent | 51% | 10 | ||
Reduction in Scope 3 absolute GHG emissions compared to 2023 | percent | 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 | ||
End-of-life treatment of sold products (Cat 12) - Total | Tonnes CO2e | 62 | 130 | 174 | |
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 from renewable energy (2024 KPI) | % | 22 | 55 | |||
25% of mainland China portfolio electricity demand met by renewable energy (2025 Target) | % | 25 | 55 | |||
Construction floor area | m² | 4360806 | 176 | |||
Diesel (for emergency generators) - Total | GJ | 283 | 430 | 504 | 174 | |
Diesel (for vehicles and vessels) - Total | GJ | 253 | 311 | 224 | 174 | |
EV chargers installed in mainland China portfolio (Grand Gateway 66, Palace 66, Parc 66, Riverside 66) | EV chargers | 74 | 154 | |||
Electricity intensity of buildings in use (HK) | kWh/m²/year | 94.83 | 96.63 | 91.28 | 175 | |
Electricity intensity of buildings in use (MC) | kWh/m²/year | 63.6 | 65.86 | 63.17 | 175 | |
Electricity intensity of buildings in use (Total) | kWh/m²/year | 68.78 | 70.97 | 67.9 | 175 | |
Electricity purchased from non-renewable source (HK) | MWh | 68483 | 69786 | 67016 | 175 | |
Electricity purchased from non-renewable source (MC) | MWh | 203931 | 193826 | 118834 | 175 | |
Electricity purchased from non-renewable source (Total) | MWh | 272414 | 263612 | 185850 | 175 | |
Electricity purchased from renewable source (MC) | MWh | 26707 | 45005 | 109644 | 175 | |
Electricity purchased from renewable source (Total) | MWh | 26707 | 45005 | 109644 | 175 | |
Electricity self-generated (solar PV) and consumed (MC) | MWh | 659 | 635 | 600 | 175 | |
Electricity self-generated (solar PV) and consumed (Total) | MWh | 659 | 635 | 600 | 175 | |
Electricity self-generated (solar PV) and exported (for Feed-in Tariff) (HK) | MWh | 18 | 18 | 17 | 175 | |
Electricity self-generated (solar PV) and exported (for Feed-in Tariff) (Total) | MWh | 18 | 18 | 17 | 175 | |
Fuel and energy related activities (Cat 3) - Total | Tonnes CO2e | 29675 | 173 | |||
Gross floor area | 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 | properties | 5 | 10 | |||
Number of tenants benefiting from procured renewable energy | 2066 | 62 | ||||
Petrol (for vehicles) - Total | GJ | 1616 | 2200 | 1776 | 174 | |
Planned EV chargers for Westlake 66 project in Hangzhou | EV chargers | 282 | 154 | |||
Procured renewable energy for five properties | MWh | 96059 | 62 | |||
Purchased hot water (indirect energy) as percentage of energy consumption | % | 11.4 | 71 | |||
Purchased steam (indirect energy) as percentage of energy consumption | % | 2.6 | 71 | |||
Renewable Energy share of mainland China portfolio electricity demand met by renewable energy | % | 25% | 28, 40 | |||
Share of mainland China portfolio's landlord electricity demand met by renewable energy | % | 48 | 55 | |||
Steam (MC) | GJ | 30642 | 32495 | 33560 | 175 | |
Steam (Total) | GJ | 30642 | 32495 | 33560 | 175 | |
Superfast 60kW chargers installed in Hang Tung Building, Hong Kong | chargers | 4 | 154 | |||
Total electricity consumed (HK) | GJ, MWh | 68483 | 69786 | 67016 | 175 | |
Total electricity consumed (MC) | GJ, MWh | 231296 | 239466 | 229078 | 175 | |
Total electricity consumed (Total) | GJ, MWh | 1079204 | 1113306 | 296094 | 175 | |
Total electricity consumed (indirect energy) as percentage of energy consumption | % | 82.8 | 71 | |||
Total energy consumed - Total | GJ | 1332867 | 1339369 | 1287473 | 174 | |
Total energy intensity - Total | MJ/m²/year | 306 | 308 | 295 | 174 | |
Total liquid fuels (direct energy) as percentage of energy consumption | % | 0.2 | 71 | |||
Total liquid fuels - Total | GJ | 2152 | 2941 | 2505 | 174 | |
Total natural gas (direct energy) as percentage of energy consumption | % | 3 | 71 | |||
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 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Change in total water consumption compared to 2023 | % | -3.5 | 73 | ||
Change in water consumption in Hong Kong compared to 2023 | % | 3.6 | 73 | ||
Change in water consumption in Mainland China compared to 2023 | % | -5.5 | 73 | ||
Change in water intensity compared to 2018 baseline | % | -12.2 | 73 | ||
Hot water (MC) | GJ | 175483 | 157883 | 146839 | 175 |
Hot water (Total) | GJ | 175483 | 157883 | 146839 | 175 |
Reduction in water intensity relative to 2018 | % | 12.2 | 155 | ||
Total municipal water (HK) | 000 m³ | 469 | 502 | 520 | 175 |
Total municipal water (MC) | 000 m³ | 1641 | 1839 | 1734 | 175 |
Total municipal water (Total) | 000 m³ | 2110 | 2341 | 2254 | 175 |
Total water consumption | million m³ | 2.26 | 73 | ||
Wastewater discharged (HK) | 000 m³ | 422 | 452 | 468 | 175 |
Wastewater discharged (MC) | 000 m³ | 1477 | 1655 | 1560 | 175 |
Wastewater discharged (Total) | 000 m³ | 1899 | 2107 | 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 | 0.65 | 0.69 | 0.71 | 175 |
Water intensity (MC) | m³/m²/year | 0.45 | 0.51 | 0.48 | 175 |
Water intensity (Total) | m³/m²/year | 0.49 | 0.54 | 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 | cumulative reduction | 16% | 69 | |
2025 Target: cumulative reduction in electricity intensity (kWh/m²) relative to 2018 | cumulative reduction | 18% | 69 | |
EV charging plan coverage across portfolio | Developed | 157 | ||
Electricity Intensity cumulative reduction relative to 2018 | %, kWh/m² | 18 | 28, 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 | % | -19 | 71 | |
Electricity intensity reduction target compared to 2018 baseline | % | -18 | 71 | |
Energy management platform implementation and tenant electricity benchmarking | Launched | 157 |
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 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Mainland properties with water recycling systems installed (Grand Gateway 66, Parc 66, Center 66, Spring City 66, Heartland 66, Olympia 66) | properties | 6 | 157 | |||
Operational Water Use reduction in water intensity relative to 2018 | % | 10 | 28 | |||
Wastewater recycled for reuse (MC) | m³ | 46986 | 58665 | 69634 | 175 | |
Wastewater recycled for reuse (Total) | m³ | 46986 | 58665 | 69634 | 175 | |
Water restrictor installation in potable water faucets at Hang Lung Centre and Fashion Walk | % equipped | 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 | percent | 82% | 10 | |||
Low-carbon recycled concrete aggregate (RCA) used in Westlake 66 | tonnes | 100 | 157 | |||
Marketing events evaluated for sustainability impacts | 100% | 29 | ||||
Number of active construction sites | Number | 2 | 2 | 2 | 183 | |
Number of active construction sites (MC) | Number | 6 | 6 | 6 | 183 | |
Number of active construction sites (Total) | Number | 8 | 8 | 8 | 183 | |
Plaza 66 Pavilion Extension project low carbon emissions steel usage in building structure | percent | 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 |
---|---|---|---|
Climate adaptation measures implemented in Fashion Walk, Standard Chartered Bank Building, 228 Electric Road in Hong Kong and all mainland properties | Implemented | 157 | |
Properties and projects with completed technical analysis for climate adaptation measures | % | 90 | 154 |
Technical deep-dive analysis for climate adaptation in Grand Gateway 66 and Heartland 66 | Conducted | 157 |
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 - HK | Number | 8 | 178 | |||
Contract / Temporary employees - MC | Number | 6 | 178 | |||
Contract / Temporary employees - Total | Number | 14 | 178 | |||
Contract / Temporary female employees - HK | Number | 1 | 178 | |||
Contract / Temporary female employees - MC | Number | 5 | 178 | |||
Contract / Temporary female employees - Total | Number | 6 | 178 | |||
Contract / Temporary male employees - HK | Number | 7 | 178 | |||
Contract / Temporary male employees - MC | Number | 1 | 178 | |||
Contract / Temporary male 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 | |||
Gender ratio by employee category - Administrative staff (HK) | Number (% of female 61.5%) | 227 | 180 | |||
Gender ratio by employee category - Administrative staff (MC) | Number (% of female 56.0%) | 794 | 180 | |||
Gender ratio by employee category - Administrative staff (Total) | Number (% of female 57.1%) | 1021 | 180 | |||
Gender ratio by employee category - Executive staff (HK) | Number (% of female 46.5%) | 73 | 180 | |||
Gender ratio by employee category - Executive staff (MC) | Number (% of female 36.8%) | 68 | 180 | |||
Gender ratio by employee category - Executive staff (Total) | Number (% of female 41.2%) | 141 | 180 | |||
Gender ratio by employee category - Operational staff (HK) | Number (% of female 27.4%) | 110 | 180 | |||
Gender ratio by employee category - Operational staff (MC) | Number (% of female 25.0%) | 368 | 180 | |||
Gender ratio by employee category - Operational staff (Total) | Number (% of female 25.5%) | 478 | 180 | |||
Gender ratio by job function - Executive staff in revenue-generating functions (HK) | % of female | 52 | 180 | |||
Gender ratio by job function - Executive staff in revenue-generating functions (MC) | % of female | 52 | 180 | |||
Gender ratio by job function - Executive staff in revenue-generating functions (Total) | % of female | 52 | 180 | |||
Gender ratio by job function - STEM-related positions (HK) | % of female | 28 | 180 | |||
Gender ratio by job function - STEM-related positions (MC) | % of female | 15 | 180 | |||
Gender ratio by job function - STEM-related positions (Total) | % of female | 19 | 180 | |||
Male employees - HK | Number | 518 | 178 | |||
Male employees - MC | Number | 1846 | 178 | |||
Male employees - Total | Number | 2364 | 178 | |||
Management positions by ethnic group - Han Chinese (HK) | % of total management workforce | 92.4 | 180 | |||
Management positions by ethnic group - Han Chinese (MC) | % of total management workforce | 94.1 | 180 | |||
Management positions by ethnic group - Han Chinese (Total) | % of total management workforce | 93.3 | 180 | |||
Management positions by ethnic group - Non-Chinese (HK) | % of total management workforce | 7.6 | 180 | |||
Management positions by ethnic group - Non-Chinese (MC) | % of total management workforce | 3.8 | 180 | |||
Management positions by ethnic group - Non-Chinese (Total) | % of total management workforce | 5.6 | 180 | |||
Management positions by ethnic group - Other Chinese (MC) | % of total management workforce | 2.2 | 180 | |||
Management positions by ethnic group - Other Chinese (Total) | % of total management workforce | 1.2 | 180 | |||
Non-management level (Total) | 1.0917 | 181 | ||||
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 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 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 - HK | Number | 917 | 178 | |||
Permanent Full Time employees - MC | Number | 3070 | 178 | |||
Permanent Full Time employees - Total | Number | 3987 | 178 | |||
Permanent Full Time female employees - HK | Number | 406 | 178 | |||
Permanent Full Time female employees - MC | Number | 1225 | 178 | |||
Permanent Full Time female employees - Total | Number | 1631 | 178 | |||
Permanent Full Time male employees - HK | Number | 511 | 178 | |||
Permanent Full Time male employees - MC | Number | 1845 | 178 | |||
Permanent Full Time male employees - Total | Number | 2356 | 178 | |||
Permanent Part Time employees - HK | Number | 3 | 178 | |||
Permanent Part Time employees - Total | Number | 3 | 178 | |||
Permanent Part Time female employees - HK | Number | 3 | 178 | |||
Permanent Part Time female employees - Total | Number | 3 | 178 | |||
Ratio of base salary and other cash incentives of women to men by management level - Executive level (Total) | Ratio | 1.165 | 180 | |||
Ratio of base salary and other cash incentives of women to men by management level - Management level (Total) | Ratio | 1.116 | 180 | |||
Ratio of basic salary of women to men by employee category - Administrative staff (HK) | Ratio | 1.152 | 180 | |||
Ratio of basic salary of women to men by employee category - Administrative staff (MC) | Ratio | 1.109 | 180 | |||
Ratio of basic salary of women to men by employee category - Administrative staff (Total) | Ratio | 1.14 | 180 | |||
Ratio of basic salary of women to men by employee category - All staff (HK) | Ratio | 1.06 | 180 | |||
Ratio of basic salary of women to men by employee category - All staff (MC) | Ratio | 1.009 | 180 | |||
Ratio of basic salary of women to men by employee category - All staff (Total) | Ratio | 1.057 | 180 | |||
Ratio of basic salary of women to men by employee category - Executive staff (HK) | Ratio | 1.126 | 180 | |||
Ratio of basic salary of women to men by employee category - Executive staff (MC) | Ratio | 1.152 | 180 | |||
Ratio of basic salary of women to men by employee category - Executive staff (Total) | Ratio | 1.137 | 180 | |||
Ratio of basic salary of women to men by employee category - Operational staff (HK) | Ratio | 1.179 | 180 | |||
Ratio of basic salary of women to men by employee category - Operational staff (MC) | Ratio | 1.041 | 180 | |||
Ratio of basic salary of women to men by employee category - Operational staff (Total) | Ratio | 1.146 | 180 | |||
Ratio of basic salary of women to men by management level - Executive level (Total) | Ratio | 1.125 | 180 | |||
Ratio of basic salary of women to men by management level - Management level (Total) | Ratio | 1.127 | 180 | |||
Ratio of basic salary of women to men by management level - Non-management level (Total) | Ratio | 1.0911 | 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 (HK) | Hours | 881970 | 823830 | 568401 | 183 | |
Total man-hours (MC) | Hours | 6388380 | 8747407 | 7798114 | 183 | |
Total man-hours (Total) | Hours | 7270310 | 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) | 1.7 | 1.93 | 1.31 | 183 | |
Injury rate per 100 employees (MC) | 0.99 | 0.67 | 0.71 | 183 | |
Injury rate per 100 employees (Total) | 1.18 | 1.01 | 0.86 | 183 | |
Number of accidents (contractor) | Number | 1 | 1 | 183 | |
Number of accidents (contractor, MC) | Number | 1 | 1 | 183 | |
Number of accidents (contractor, Total) | Number | 1 | 2 | 183 | |
Rate of high-consequence work-related injuries per 100 employees (HK) | 0.17 | 183 | |||
Rate of high-consequence work-related injuries per 100 employees (MC) | 0.09 | 0.06 | 183 | ||
Rate of high-consequence work-related injuries per 100 employees (Total) | 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) | 32.9 | 87.38 | 93.18 | 183 | ||
Lost day rate per 100 employees (MC) | 29.78 | 12.27 | 33.33 | 183 | ||
Lost day rate per 100 employees (Total) | 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 | 2.17 | N/A | 3.09 | 183, 184 | |
Lost-time injury frequency rate (LTIFR) (Total) | Number of injuries/ million hours worked, Number of injuries/million hours worked | 3.74 | N/A | 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) | 1.62 | 1.76 | 1.31 | 183 | ||
Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (MC) | 0.43 | 0.61 | 0.62 | 183 | ||
Rate of lost-time work-related injuries / Lost-time injury rate (LTIR) (Total) | 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 |
---|---|---|---|---|---|---|
Colleagues subscribed to LinkedIn Learning | colleagues | 100 | 94 | |||
Courses viewed on LinkedIn Learning | courses | 4924 | 94 | |||
Employee engagement performance in Gallup Overall Database | percentile | 79th percentile | 10 | |||
Employee engagement rating (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 |
Company and Market Knowledge training hours | hours | 48000 | 94 | ||
ESG training hours delivered for specific departments | hours | 1109 | 155 | ||
Functional training hours | hours | 74775 | 94 | ||
Leadership / Management training hours | hours | 4616 | 94 | ||
Learning hours on LinkedIn Learning | hours | 1022 | 94 | ||
Personal Effectiveness training hours | hours | 9606 | 94 | ||
Total employee training hours | hours | 101824 | 126704 | 136997 | 94 |
Total hours of employee training (Total) | Hours | 101824 | 126704 | 136997 | 181 |
Training hours by topics - Crisis management (Total) | Hours | 5057 | 9191 | 8859 | 182 |
Number of suppliers by geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Purchased goods & services (Cat 1) - HK | Tonnes CO2e | 51614 | 173 |
Purchased goods & services (Cat 1) - MC | Tonnes CO2e | 182726 | 173 |
Purchased goods & services (Cat 1) - Total | Tonnes CO2e | 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$M, USD'M | 500 | 230 | 605 | 400 | 118 | |
Green bond equivalent HK$M issued in Hong Kong | HK$M | 750 | 391 | 590 | 400 | 118 | |
Green loan drawn amount arranged in Mainland - Forum 66, Shenyang | RMB'M | 455 | 118 | ||||
Green loan drawn amount arranged in Mainland - Heartland 66, Wuhan | RMB'M | 800 | 118 | ||||
Green loan drawn amount arranged in Mainland - Parc 66, Jinan | RMB'M | 470 | 118 | ||||
Green loan drawn amount arranged in Mainland - Riverside 66, Tianjin | RMB'M | 214 | 118 | ||||
Green loan drawn amount arranged in Mainland - Spring City 66, Kunming | RMB'M | 1541 | 400 | 118 | |||
Green loan drawn amount arranged in Mainland - Westlake 66, Hangzhou | RMB'M | 630 | 498 | 387 | 118 | ||
Green loan facility amount arranged in Hong Kong | HK$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 | 800 | 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 | potential asset acquisitions | 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 | leases | 100% | 29 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Net Promoter Score from post-event employee survey | % | 85 | 100 |
Product (Cat 1a) - HK | Tonnes CO2e | 18324 | 173 |
Product (Cat 1a) - MC | Tonnes CO2e | 156860 | 173 |
Product (Cat 1a) - Total | Tonnes CO2e | 175184 | 173 |
Sales revenue from NGO bazaars at Friday Cheers | HKD | 53800 | 100 |
Tenants partnered on sustainability initiatives (percent of total leasable area) | percent | 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 | 4315 | 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 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Investments (Cat 15) - Total | Tonnes CO2e | 15395 | 13541 | 9766 | 174 |
Mainland tenants participating in LightWise Program | % | 93 | 62 | ||
People benefited from Hang Lung As One volunteer team in Hong Kong and mainland China | people | 30800 | 10 | ||
Volunteering activities related to youth development | % | 56 | 155 | ||
WELL Health and Safety Rating coverage for existing Mainland properties | % | 87 | 155 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Community investment donations | million HKD | 5 | 101 | ||
Distribution of community investment contributions: cash | 78% | 101 | |||
Distribution of community investment contributions: in-kind | 5% | 101 | |||
Distribution of community investment contributions: volunteer time | 17% | 101 | |||
Number of people impacted by volunteer activities | 30817 | 101 | |||
Number of volunteer activities | 119 | 101 | |||
Number of volunteers participating in community activities | 2838 | 101 | |||
Total volunteer hours contributed | hours | 68955 | 101 | ||
Videos watched on LinkedIn Learning | videos | 23309 | 94 | ||
Volunteer hours in Hong Kong | hours | 6832 | 10431 | 12306 | 101 |
Volunteer hours in Mainland China | hours | 11765 | 59460 | 56649 | 101 |
Volunteering hours contributed by Hang Lung As One volunteer team | hours | 68900 | 10 |
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 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
---|---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | Tonnes CO2e | 50000 | 50000 | 50000 | 50000 | 10000 | |
Indirect Energy Emissions (Scope 2) | Tonnes CO2e | 200000 | 200000 | 200000 | 200000 | 300000 | |
Scope 3 GHG Emissions (Business Travel) | Tonnes CO2e | 1650 | |||||
Scope 3 GHG Emissions (Downstream Leased Assets) | Tonnes CO2e | 110 | 120 | 129025 | 155101 | 136075 | |
Scope 3 GHG Emissions (Employee Commuting) | Tonnes CO2e | None | None | 1516 | 1595 | 1522 | |
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | Tonnes CO2e | 29675 | |||||
Scope 3 GHG Emissions (Purchased Goods/Services) | Tonnes CO2e | 130 | 240 | 270 | 570 | 230 | |
Scope 3 GHG Emissions (Upstream Leased Assets) | Tonnes CO2e | 157 | |||||
Scope 3 GHG Emissions (Upstream Transportation and Distribution) | Tonnes CO2e | 1918 | |||||
Scope 3 GHG Emissions (Use of Sold Products) | Tonnes CO2e | 7290 | |||||
Total GHG Emissions Intensity (By Area) | Tonnes CO2e/m2/year | 0.0432 | 0.0437 | 0.0402 | 15 | ||
Total Other Indirect Energy Emissions (Scope 3) | Tonnes CO2e | 700000 | 700000 | 800000 | 900000 | 1000000 |
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 (Kitchen Waste) | kg | 12124654 |
Non-Hazardous Waste Disposed | tonnes | 60460 |
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 |
---|---|---|
Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 35.8 |
Scope 3 Emissions Reduction Percentage Compared to Last Year | % | 46 |
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 | % | 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 |
---|---|---|---|---|
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 | % | 31 | 48 | |
Purchased Electricity | MWh | 299779 | 309252 | 296094 |
Purchased Steam | GJ | 30642 | 32495 | 33560 |
Renewable Energy Consumption | MWh | 27384 | 45658 | 110261 |
Solar Energy | MWh | 677 | 653 | 617 |
Total Electricity Consumption Intensity (By Area per Year) | kWh/m²/year | 68.78 | 70.97 | 67.9 |
Total Energy Consumption | GJ | 1332867 | 1339369 | 1287473 |
Total Indirect Energy Consumption | GJ | 1079204 | 1113306 | 1065939 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Municipal Water Consumption | 000 m³ | 2110 | 2341 | 2254 |
Total Wastewater Discharge | 000 m³ | 1899 | 2107 | 2028 |
Water Consumption | million m³ | 2.26 | ||
Water Consumption Intensity (By Revenue) | m³/m² | 0.52 | ||
Water Withdrawal Intensity | m³/m²/year | 0.49 | 0.54 | 0.52 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 | 2025 |
---|---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 19 | |
Target Electricity Usage Reduction Percentage Compared to Last Year | % | 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 | 2023 | 2024 |
---|---|---|---|
Wastewater Reduction Compared to Last Year | m³ | -11679 | -10969 |
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 | 2024 |
---|---|---|
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 | 978 |
Number of Employees in Hong Kong and Mainland China | Number | 4103 |
Number of Employees in Mainland China | Number | 3125 |
Number of Female Employees | Number | 1640 |
Number of Female Employees in Hong Kong | Number | 410 |
Number of Female Employees in Mainland China | Number | 1230 |
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 | 2364 |
Number of Male Employees in Hong Kong | Number | 518 |
Number of Male Employees in Mainland China | Number | 1846 |
Number of Part-time Employees | Number | 3 |
Number of Part-time Employees (Female) | Number | 3 |
Number of Temporary Workers | Number | 14 |
Number of Temporary Workers (Female) | Number | 6 |
Number of Temporary Workers (Male) | Number | 8 |
Number of Total Employees | Number | 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 | % | 40.95 |
Percentage of Full-time Employees | % | 99.58 |
Percentage of Male Employees | % | 59.05 |
Percentage of Part-time Employees | % | 0.07 |
Percentage of Temporary Workers | % | 0.35 |
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 (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 | 1.5 |
Lost Time Injury Frequency Rate (Mainland China) | Number of injuries/ million hours worked | 2.17 | 3.05 | 3.09 | |
Number of Work-related Injuries | Number | 33 | 41 | 34 |
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 | 24 | 30.1 | 34.2 |
Total Training Hours | hours | 101824 | 126704 | 136997 |
Training Hours of ESG | hours | 1109 |
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 | 2838 | |||
Number of Volunteer Activities Sessions | 119 | |||
Total Public Welfare Donations | million HKD | 5 | ||
Total Volunteer Service Hours | hours | 18697 | 69891 | 68955 |