Sustainable Development Report 2022
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2025 | Report Pages |
|---|---|---|---|---|
| Indoor Air Quality Management - For common areas, buildings achieve IAQ Excellent Class in the Hong Kong portfolio | 90% | 260 | ||
| Ultra-low sulphur diesel (ULSD) - Chinese Mainland Portfolio | Litres | 18416 | 278 | |
| Ultra-low sulphur diesel (ULSD) - Hong Kong Portfolio | Litres | 14061 | 278 | |
| Ultra-low sulphur diesel (ULSD) - Hotels | Litres | 3624 | 278 | |
| Ultra-low sulphur diesel (ULSD) - Total | Litres | 36405 | 278 | |
| Ultra-low sulphur diesel (ULSD) - U.S.A. Portfolio | Litres | 304 | 278 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Building carbon intensity by gross floor area (Chinese Mainland Portfolio) | Tonnes of CO₂e/m²/year | 0.073 | 0.053 | 0.047 | 0.045 | 239 | ||
| Building carbon intensity by gross floor area (HK Portfolio) | Tonnes of CO₂e/m²/year | 0.109 | 0.103 | 0.088 | 0.079 | 239 | ||
| Building carbon intensity by gross floor area (U.S.A. Portfolio) | Tonnes of CO₂e/m²/year | 0.109 | 0.085 | 0.081 | 0.069 | 239 | ||
| Business travel - 2018 | Tonnes of CO2e | 3364 | 281 | |||||
| Business travel - 2019 | Tonnes of CO2e | 3360 | 281 | |||||
| Business travel - 2020 | Tonnes of CO2e | 1982 | 281 | |||||
| Business travel - 2021 | Tonnes of CO2e | 3764 | 281 | |||||
| Business travel - 2022 | Tonnes of CO2e | 3947 | 281 | |||||
| Capital goods - Upfront embodied carbon emissions of new investment properties developed by Swire Properties | Tonnes of CO2 | 174214 | N/A | N/A | N/A | 76783 | 280 | |
| Carbon Intensity - Chinese Mainland Portfolio | Tonnes of CO2e/m2 GFA (Gross Floor Area) | 0.074 | 0.073 | 0.053 | 0.047 | 0.046 | 168 | |
| Carbon Intensity - Hong Kong Portfolio | Tonnes of CO2e/m2 GFA (Gross Floor Area) | 0.111 | 0.109 | 0.103 | 0.088 | 0.079 | 168 | |
| Carbon Intensity - Hotels | Tonnes of CO2e/m2 GFA (Gross Floor Area) | 0.029 | 0.03 | 0.039 | 0.029 | 0.038 | 168 | |
| Carbon Intensity - U.S.A. Portfolio | Tonnes of CO2e/m2 GFA (Gross Floor Area) | 0.102 | 0.109 | 0.085 | 0.081 | 0.069 | 168 | |
| Carbon emissions (Scope 1 and 2) – market-based method | Tonnes of CO₂e | 230265 | 203316 | 176841 | 165549 | 239 | ||
| Carbon intensity - location-based method (Chinese Mainland Portfolio) | Tonnes of CO2e/m2/year | 0.04 | 279 | |||||
| Carbon intensity - location-based method (Hong Kong Portfolio) | Tonnes of CO2e/m2/year | 0.049 | 279 | |||||
| Carbon intensity - location-based method (Hotels) | Tonnes of CO2e/m2/year | 0.095 | 279 | |||||
| Carbon intensity - location-based method (U.S.A. Portfolio) | Tonnes of CO2e/m2/year | 0.025 | 279 | |||||
| Carbon intensity - market-based method (Chinese Mainland Portfolio) | Tonnes of CO2e/m2/year | 0.04 | 279 | |||||
| Carbon intensity - market-based method (Hong Kong Portfolio) | Tonnes of CO2e/m2/year | 0.045 | 279 | |||||
| Carbon intensity - market-based method (Hotels) | Tonnes of CO2e/m2/year | 0.093 | 279 | |||||
| Carbon intensity - market-based method (U.S.A. Portfolio) | Tonnes of CO2e/m2/year | 0.025 | 279 | |||||
| Carbon intensity of tenants (Scope 3 – downstream leased assets) | Tonnes of CO₂e/m²/year | 0.121 | 0.098 | 0.089 | 0.081 | 239 | ||
| Direct carbon emissions (Scope 1) - Chinese Mainland Portfolio | Tonnes CO2e | 6230 | 278 | |||||
| Direct carbon emissions (Scope 1) - Hong Kong Portfolio | Tonnes CO2e | 198 | 278 | |||||
| Direct carbon emissions (Scope 1) - Hotels | Tonnes CO2e | 3428 | 278 | |||||
| Direct carbon emissions (Scope 1) - Total | Tonnes CO2e | 9856 | 278 | |||||
| Direct carbon emissions (Scope 1) - U.S.A. Portfolio | Tonnes CO2e | 18 | 278 | |||||
| Downstream leased assets - Emissions from operation of assets owned by Swire Properties and leased to other entities | Tonnes of CO2e | 168403 | 179515 | 139414 | 131478 | 130657 | 282 | |
| Downstream transportation and distribution - 2018 | N/A | 281 | ||||||
| Downstream transportation and distribution - 2019 | N/A | 281 | ||||||
| Downstream transportation and distribution - 2020 | N/A | 281 | ||||||
| Downstream transportation and distribution - 2021 | N/A | 281 | ||||||
| Downstream transportation and distribution - 2022 | N/A | 281 | ||||||
| Employee commuting - 2018 | Tonnes of CO2e | 12750 | 281 | |||||
| Employee commuting - 2019 | Tonnes of CO2e | 12750 | 281 | |||||
| Employee commuting - 2020 | Tonnes of CO2e | 12750 | 281 | |||||
| Employee commuting - 2021 | Tonnes of CO2e | 12750 | 281 | |||||
| Employee commuting - 2022 | Tonnes of CO2e | 12750 | 281 | |||||
| End-of-life treatment of sold products - Scope 3 GHG emissions from end-of-life carbon emissions from waste disposal and treatment of trading properties | Tonnes of CO2e | 41 | 49 | 51 | 54 | 276 | 282 | |
| Franchises - Emissions from operation of Swire Properties’ franchises | N/A | N/A | N/A | N/A | N/A | 282 | ||
| Fuel- and energy-related activities (not included in scope 1 or scope 2) - Emissions related to extraction, production, transportation of fuels and energy purchased by Swire Properties, or fuels and energy supplied to end users for electricity vehicle charging in Hong Kong and Chinese Mainland portfolios | Tonnes of CO2 | 2038 | 1922 | 2063 | 2117 | 5729 | 280 | |
| GHG emissions (Scope 3: Capital Goods) reduction per square metre | % | 17 | 25 | 15 | ||||
| GHG emissions (Scope 3: Downstream Leased Assets) reduction per square metre | % | 40 | 28 | 15 | ||||
| Indirect carbon emissions (Scope 2) - market-based method - Chinese Mainland Portfolio | Tonnes CO2e | 77932 | 278 | |||||
| Indirect carbon emissions (Scope 2) - market-based method - Hong Kong Portfolio | Tonnes CO2e | 86548 | 278 | |||||
| Indirect carbon emissions (Scope 2) - market-based method - Hotels | Tonnes CO2e | 28413 | 278 | |||||
| Indirect carbon emissions (Scope 2) - market-based method - Total | Tonnes CO2e | 196071 | 278 | |||||
| Indirect carbon emissions (Scope 2) - market-based method - U.S.A. Portfolio | Tonnes CO2e | 3179 | 278 | |||||
| Investments - Emissions from operation of Swire Properties’ investments | N/A | N/A | N/A | N/A | N/A | 282 | ||
| Reduction of Carbon Emissions per square metre (Scope 3 – Downstream Leased Assets) against 2018 baseline | % | -11 | -28 | -35 | -40 | 176 | ||
| Reduction of Scope 1 and 2 absolute GHG emissions | % | -28 | 161 | |||||
| Reduction of carbon intensity from the tenant-controlled portion of downstream leased assets | % | -40 | 161 | |||||
| Reduction of embodied carbon intensity from new major developments | % | -17 | 161 | |||||
| Refrigerants containing HFCs refilled - Chinese Mainland Portfolio | Kilograms | 393 | 278 | |||||
| Refrigerants containing HFCs refilled - Hong Kong Portfolio | Kilograms | 91 | 278 | |||||
| Refrigerants containing HFCs refilled - Hotels | Kilograms | 54 | 278 | |||||
| Refrigerants containing HFCs refilled - Total | Kilograms | 538 | 278 | |||||
| Scope 1 emissions, Chinese Mainland Portfolio | Tonnes of CO2e | 5067 | 4550 | 4865 | 5679 | 6220 | 167 | |
| Scope 1 emissions, Hong Kong Portfolio | Tonnes of CO2e | 1679 | 1461 | 1363 | 1496 | 1190 | 167 | |
| Scope 1 emissions, Hotels | Tonnes of CO2e | 3984 | 4675 | 3599 | 4061 | 3428 | 167 | |
| Scope 1 emissions, U.S.A. Portfolio | Tonnes of CO2e | 56 | 51 | 33 | 17 | 18 | 167 | |
| Scope 2 emissions, Chinese Mainland Portfolio | Tonnes of CO2e | 46252 | 64379 | 46166 | 40254 | 43874 | 167 | |
| Scope 2 emissions, Hong Kong Portfolio | Tonnes of CO2e | 121952 | 110557 | 112364 | 94983 | 86558 | 167 | |
| Scope 2 emissions, Hotels | Tonnes of CO2e | 29545 | 35421 | 27735 | 26732 | 22100 | 167 | |
| Scope 2 emissions, U.S.A. Portfolio | Tonnes of CO2e | 7133 | 7664 | 4924 | 3706 | 3161 | 167 | |
| Upfront embodied carbon emissions intensity of Two Taikoo Place | kg CO2e per square metre construction floor area | 643.2 | 177 | |||||
| Upfront embodied carbon emissions of Two Taikoo Place | tonnes CO2e | 76783 | 177 | |||||
| Upstream leased assets - 2018 | N/A | 281 | ||||||
| Upstream leased assets - 2019 | N/A | 281 | ||||||
| Upstream leased assets - 2020 | N/A | 281 | ||||||
| Upstream leased assets - 2021 | N/A | 281 | ||||||
| Upstream leased assets - 2022 | N/A | 281 | ||||||
| Upstream transportation and distribution - Emissions from transportation and distribution of goods and services purchased by Swire Properties | Tonnes of CO2 | 6161 | 5953 | 5571 | 6652 | 5788 | 280 | |
| Use of sold products - 2018 | N/A | 281 | ||||||
| Use of sold products - 2019 | N/A | 281 | ||||||
| Use of sold products - 2020 | N/A | 281 | ||||||
| Use of sold products - 2021 | N/A | 281 | ||||||
| Use of sold products - 2022 | Tonnes of CO2e | 60025 | 281 | |||||
| Value Chain Emissions (Scope 3 SBTi – Capital Goods) - Reduce embodied carbon intensity from major development projects by | per square metre | 25% | 260 | |||||
| Value Chain Emissions (Scope 3 SBTi – Downstream Leased Assets) - Reduce carbon intensity from tenant-controlled downstream leased assets by | per square metre | 28% | 260 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|---|---|
| Hazardous waste - Oils and lubricants - Hong Kong Portfolio | Litres | 1518 | 278 | ||||
| Hazardous waste - Oils and lubricants - Total | Litres | 1518 | 278 | ||||
| Total waste disposed (Swire Properties - Hazardous Waste) | Tonnes | 1 | 279 | ||||
| Total waste recycled (Swire Properties - Hazardous Waste) | Tonnes | 1 | 279 | ||||
| Waste generated in operations - 2018 | Tonnes of CO2e | 30748 | 281 | ||||
| Waste generated in operations - 2019 | Tonnes of CO2e | 36969 | 281 | ||||
| Waste generated in operations - 2020 | Tonnes of CO2e | 38698 | 281 | ||||
| Waste generated in operations - 2021 | Tonnes of CO2e | 40358 | 281 | ||||
| Waste generated in operations - 2022 | Tonnes of CO2e | 31405 | 281 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste - Commercial waste - Hong Kong Portfolio | Tonnes | 2440 | 278 | ||
| Non-hazardous waste - Commercial waste - Hotels | Tonnes | 70 | 278 | ||
| Non-hazardous waste - Commercial waste - Total | Tonnes | 2510 | 278 | ||
| Non-hazardous waste - Construction and demolition waste - Chinese Mainland Portfolio | Tonnes | 16597 | 278 | ||
| Non-hazardous waste - Construction and demolition waste - Hong Kong Portfolio | Tonnes | 22954 | 278 | ||
| Non-hazardous waste - Construction and demolition waste - Hotels | Tonnes | 695 | 278 | ||
| Non-hazardous waste - Construction and demolition waste - Total | Tonnes | 40246 | 278 | ||
| Non-hazardous waste - Food processing oil - Hong Kong Portfolio | Tonnes | 66 | 278 | ||
| Non-hazardous waste - Food processing oil - Hotels | Tonnes | 270 | 278 | ||
| Non-hazardous waste - Food processing oil - Total | Tonnes | 336 | 278 | ||
| Non-hazardous waste - Food waste - Hong Kong Portfolio | Tonnes | 169 | 278 | ||
| Non-hazardous waste - Food waste - Hotels | Tonnes | 359 | 278 | ||
| Non-hazardous waste - Food waste - Total | Tonnes | 528 | 278 | ||
| Non-hazardous waste - Metal - Hong Kong Portfolio | Tonnes | 16 | 278 | ||
| Non-hazardous waste - Metal - Hotels | Tonnes | 3 | 278 | ||
| Non-hazardous waste - Metal - Total | Tonnes | 19 | 278 | ||
| Non-hazardous waste - Mixed recyclables - Hong Kong Portfolio | Tonnes | 46 | 278 | ||
| Non-hazardous waste - Mixed recyclables - Hotels | Tonnes | 61 | 278 | ||
| Non-hazardous waste - Mixed recyclables - Total | Tonnes | 107 | 278 | ||
| Non-hazardous waste - Others - Hong Kong Portfolio | Tonnes | 94 | 278 | ||
| Non-hazardous waste - Others - Hotels | Tonnes | 16 | 278 | ||
| Non-hazardous waste - Others - Total | Tonnes | 110 | 278 | ||
| Non-hazardous waste - Paper - Hong Kong Portfolio | Tonnes | 36 | 278 | ||
| Non-hazardous waste - Paper - Hotels | Tonnes | 5 | 278 | ||
| Non-hazardous waste - Paper - Total | Tonnes | 41 | 278 | ||
| Non-hazardous waste - Plastics - Hong Kong Portfolio | Tonnes | 26 | 278 | ||
| Non-hazardous waste - Plastics - Hotels | Tonnes | 8 | 278 | ||
| Non-hazardous waste - Plastics - Total | Tonnes | 34 | 278 | ||
| Paper products - Chinese Mainland Portfolio | Kilograms | 10887 | 278 | ||
| Paper products - Hong Kong Portfolio | Kilograms | 19159 | 278 | ||
| Paper products - Hotels | Kilograms | 14455 | 278 | ||
| Paper products - Total | Kilograms | 44481 | 278 | ||
| Reduction in total waste per employee (July 2021 to January 2022) | percent | 19 | 141 | ||
| Total waste disposed (Swire Properties - Non-hazardous Waste) | Tonnes | 45929 | 279 | ||
| Total waste generated (Swire Properties - Non-hazardous Waste) | Tonnes | 70929 | 279 | ||
| Total waste recovered (Swire Properties - Non-hazardous Waste) | Tonnes | 631 | 279 | ||
| Total waste recycled (Swire Properties - Non-hazardous Waste) | Tonnes | 14466 | 279 | ||
| Waste Diversion Rates - Chinese Mainland (projects under development) - % of total waste | 50% | 60% | 260 | ||
| Waste Diversion Rates - Hong Kong (projects under development) - % of construction waste | 70% | 75% | 260 | ||
| Waste Diversion Rates - Hong Kong (projects under development) - % of demolition waste | 85% | 90% | 260 | ||
| Waste Diversion Rates - Hong Kong portfolio - % of commercial waste | 30% | 50% | 260 | ||
| Waste Recycling Rates - Chinese Mainland portfolio - % of commercial waste | 40% | 45% | 260 | ||
| Wastewater discharged - Total | 000 m3 | 36495 | 278 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Absolute GHG emissions (Scope 1 and Scope 2) reduction | % | 28 | 25 | 15 | |
| Operational GHG Emissions (Scope 1 and 2 SBTi) - Reduce absolute GHG emissions by | 25% | 46% | 260 | ||
| Reduction in Scope 3 GHG emissions from capital goods per sqm | % (compared to 2016-2018 baseline) | 17 | 225 | ||
| Reduction in Scope 3 GHG emissions from downstream leased assets per sqm | % (compared to 2018 baseline) | 40 | 225 | ||
| Reduction in absolute Scope 1 and 2 greenhouse gas (GHG) emissions | % (compared to 2019 baseline) | 28 | 225 | ||
| Reduction target for Scope 3 GHG emissions from capital goods per sqm | % (compared to 2016-2018 baseline) | 25 | 225 | ||
| Reduction target for Scope 3 GHG emissions from downstream leased assets per sqm | % (compared to 2018 baseline) | 28 | 225 | ||
| Reduction target for absolute Scope 1 and 2 greenhouse gas (GHG) emissions | % (compared to 2019 baseline) | 25 | 225 | ||
| Scope 3 embodied carbon emissions reduction progress for capital goods (per square metre) | % | -17 | 177 | ||
| Scope 3 embodied carbon emissions reduction target for capital goods (per square metre) | % | -25 | 177 | ||
| Targeted reduction of Carbon Emissions per square metre (Scope 3 – Downstream Leased Assets) against 2018 baseline | % | -28 | 176 |
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 | 2025 | Report Pages |
|---|---|---|---|---|
| Commercial waste diversion rate - Chinese Mainland Portfolio | % | 45 | 40 | 15 |
| Commercial waste diversion rate - Hong Kong Portfolio | % | 25 | 30 | 15 |
| Smart Reusable Cup System - single-use cups avoided | cups | 16800 | 15 | |
| Total waste composted (Swire Properties - Non-hazardous Waste) | Tonnes | 1301 | 279 | |
| Total waste directed to disposal (Swire Properties - Non-hazardous Waste) | Tonnes | 54162 | 279 | |
| Total waste diverted from disposal (Swire Properties - Non-hazardous Waste) | Tonnes | 37162 | 279 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Biodiesel - Hong Kong Portfolio | Litres | 1040 | 278 | |||||
| Biodiesel - Total | Litres | 1040 | 278 | |||||
| Building electricity use intensity by gross floor area (Chinese Mainland Portfolio) | kWh/m²/year | 101 | 96 | 99 | 95 | 239 | ||
| Building electricity use intensity by gross floor area (HK Portfolio) | kWh/m²/year | 139 | 127 | 128 | 117 | 239 | ||
| Building electricity use intensity by gross floor area (U.S.A. Portfolio) | kWh/m²/year | 237 | 204 | 195 | 179 | 239 | ||
| Direct energy consumption - Chinese Mainland Portfolio | GJ | 112205 | 278 | |||||
| Direct energy consumption - Hong Kong Portfolio | GJ | 1401 | 278 | |||||
| Direct energy consumption - Hotels | GJ | 63408 | 278 | |||||
| Direct energy consumption - Total | GJ | 177288 | 278 | |||||
| Direct energy consumption - U.S.A. Portfolio | GJ | 523 | 278 | |||||
| Direct energy intensity (Chinese Mainland Portfolio) | GJ/m2/year | 0.003 | 279 | |||||
| Direct energy intensity (Hong Kong Portfolio) | GJ/m2/year | 0.019 | 279 | |||||
| Direct energy intensity (Hotels) | GJ/m2/year | 0.089 | 279 | |||||
| Direct energy intensity (U.S.A. Portfolio) | GJ/m2/year | 0.003 | 279 | |||||
| Electricity at Sino-Ocean Taikoo Li Chengdu and The Temple House in Chengdu, as well as Taikoo Hui Guangzhou procured from renewable sources, Progress Updates in 2022 | % | 100 | 162 | |||||
| Electricity use intensity (Chinese Mainland Portfolio) | kWh/ft2/year | 0.26 | 279 | |||||
| Electricity use intensity (Hong Kong Portfolio) | kWh/ft2/year | 0.25 | 279 | |||||
| Electricity use intensity (Hotels) | kWh/ft2/year | 0.25 | 279 | |||||
| Electricity use intensity (U.S.A. Portfolio) | kWh/ft2/year | 0.21 | 279 | |||||
| Electricity use intensity - Chinese Mainland (Hotels) | kWh/guest-night/year | 76 | 279 | |||||
| Electricity use intensity - Hong Kong (Hotels) | kWh/guest-night/year | 46 | 279 | |||||
| Electricity use intensity - Office portfolio (Chinese Mainland Portfolio) | kWh/m2/year | 140 | 279 | |||||
| Electricity use intensity - Office portfolio (Hong Kong Portfolio) | kWh/m2/year | 157 | 279 | |||||
| Electricity use intensity - Office portfolio (U.S.A. Portfolio) | kWh/m2/year | 119 | 279 | |||||
| Electricity use intensity - Retail portfolio (Chinese Mainland Portfolio) | kWh/m2/year | 179 | 279 | |||||
| Electricity use intensity - Retail portfolio (Hong Kong Portfolio) | kWh/m2/year | 175 | 279 | |||||
| Electricity use intensity - Retail portfolio (U.S.A. Portfolio) | kWh/m2/year | 174 | 279 | |||||
| Electricity use intensity, Chinese Mainland Portfolio | kWh/m²/year | 102 | 101 | 96 | 99 | 95 | 170 | |
| Electricity use intensity, Hong Kong Portfolio | kWh/m²/year | 142 | 139 | 127 | 128 | 117 | 170 | |
| Electricity use intensity, Hotels | kWh/m²/year | 38 | 39 | 55 | 45 | 56 | 170 | |
| Electricity use intensity, U.S.A. Portfolio | kWh/m²/year | 221 | 237 | 204 | 195 | 179 | 170 | |
| Electricity use intensity, global portfolios | kWh/m²/year | 114 | 170 | |||||
| Indirect energy consumption - Chinese Mainland Portfolio | GJ | 101363 | 278 | |||||
| Indirect energy consumption - Hong Kong Portfolio | GJ | 462492 | 278 | |||||
| Indirect energy consumption - Hotels | GJ | 158325 | 278 | |||||
| Indirect energy consumption - Total | GJ | 938670 | 278 | |||||
| Indirect energy consumption - U.S.A. Portfolio | GJ | 216490 | 278 | |||||
| Indirect energy intensity (Chinese Mainland Portfolio) | GJ/m2/year | 0.95 | 279 | |||||
| Indirect energy intensity (Hong Kong Portfolio) | GJ/m2/year | 0.91 | 279 | |||||
| Indirect energy intensity (Hotels) | GJ/m2/year | 0.816 | 279 | |||||
| Indirect energy intensity (U.S.A. Portfolio) | GJ/m2/year | 0.75 | 279 | |||||
| Landlord’s building energy supplied by renewable sources at Two Taikoo Place, Progress Updates in 2022 | % | 6 | 162 | |||||
| Natural gas - Chinese Mainland Portfolio | MJ | 146745 | 278 | |||||
| Natural gas - U.S.A. Portfolio | MJ | 146745 | 278 | |||||
| Non-renewable electricity purchased - Chinese Mainland Portfolio | MWh | 64448 | 278 | |||||
| Non-renewable electricity purchased - Hong Kong Portfolio | MWh | 118275 | 278 | |||||
| Non-renewable electricity purchased - Hotels | MWh | 49247 | 278 | |||||
| Non-renewable electricity purchased - Total | MWh | 240269 | 278 | |||||
| Non-renewable electricity purchased - U.S.A. Portfolio | MWh | 8299 | 278 | |||||
| Petrol - Hong Kong Portfolio | Litres | 1200 | 278 | |||||
| Petrol - Hotels | Litres | 1200 | 278 | |||||
| Petrol - Total | Litres | 2400 | 278 | |||||
| Proportion of electricity consumption from renewable sources | % | 13.2 | 14.3 | 19.0 | 24.1 | 239 | ||
| Reduction in electricity use in two communal areas (October 2021 to June 2022) | percent | 9.3 | 141 | |||||
| Reduction of electricity use intensity (kWh/m²), Chinese Mainland portfolio, Progress Updates in 2022 | % | -9 | 162 | |||||
| Reduction of electricity use intensity (kWh/m²), Hong Kong portfolio, Progress Updates in 2022 | % | -15 | 162 | |||||
| Reduction of electricity use intensity - Chinese Mainland Portfolio | % | 9 | 13 | 15 | ||||
| Reduction of electricity use intensity - Hong Kong Portfolio | % | 15 | 20 | 15 | ||||
| Renewable Energy - Generate landlord's building energy from on-site renewable or clean energy sources for selected newly completed office projects | 6% | 260 | ||||||
| Total energy consumption - Chinese Mainland Portfolio | GJ | 557614 | 278 | |||||
| Total energy consumption - Hong Kong Portfolio | GJ | 464314 | 278 | |||||
| Total energy consumption - Hotels | GJ | 198425 | 278 | |||||
| Total energy consumption - Total | GJ | 1436843 | 278 | |||||
| Total energy consumption - U.S.A. Portfolio | GJ | 216490 | 278 | |||||
| Town gas - Hong Kong Portfolio | MJ | 155325 | 278 | |||||
| Town gas - Hotels | MJ | 155325 | 278 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2025 | Report Pages |
|---|---|---|---|---|
| Total water usage reduction in all portfolios and hotels | % | -8 | 171 | |
| Wastewater discharged - Chinese Mainland Portfolio | 000 m3 | 868 | 278 | |
| Wastewater discharged - Hong Kong Portfolio | 000 m3 | 30299 | 278 | |
| Wastewater discharged - Hotels | 000 m3 | 304 | 278 | |
| Wastewater discharged - U.S.A. Portfolio | 000 m3 | 54 | 278 | |
| Water Reduction - Chinese Mainland - Reduction in water intensity (m³/m²) | 20% | 260 | ||
| Water Reduction - Hong Kong - Reduction in water intensity (m³/m²) | 10% | 260 | ||
| Water Reduction - Hotels - Reduction in water intensity (L/guest night) | 8% | 260 | ||
| Water consumption - municipal - Chinese Mainland Portfolio | 000 m3 | 386 | 278 | |
| Water consumption - municipal - Hong Kong Portfolio | 000 m3 | 359 | 278 | |
| Water consumption - municipal - Hotels | 000 m3 | 304 | 278 | |
| Water consumption - municipal - Total | 000 m3 | 1403 | 278 | |
| Water consumption - municipal - U.S.A. Portfolio | 000 m3 | 54 | 278 | |
| Water intensity (Chinese Mainland Portfolio) | m3/ft2/year | 0.84 | 279 | |
| Water intensity (Hong Kong Portfolio) | m3/ft2/year | 0.326 | 279 | |
| Water intensity (Hotels) | m3/guest-night/year | 0.435 | 279 | |
| Water intensity (U.S.A. Portfolio) | m3/ft2/year | 0.365 | 279 | |
| Water intensity increase in Hotels compared to 2018/2019 baseline for 2025 KPI | % | 15.1 | 171 | |
| Water intensity reduction in Chinese Mainland portfolio compared to 2016 BAU baseline | % | -25.9 | 171 | |
| Water intensity reduction in Hong Kong portfolio compared to 2016 BAU baseline | % | -9.2 | 171 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Electricity use intensity reduction, Chinese Mainland Portfolio (including hotels), compared to 2019 baseline | 9% | 13% | 170 | |||||
| Electricity use intensity reduction, Hong Kong Portfolio (including hotels), compared to 2019 baseline | 15% | 20% | 170 | |||||
| Energy Reduction - Chinese Mainland Portfolio - Reduction of electricity use intensity | 13% | 35% | 260 | |||||
| Energy Reduction - Hong Kong Portfolio - Reduction of electricity use intensity | 20% | 40% | 260 | |||||
| Expenditures for green building development supported by green bond and green loan proceeds | HKD | 733 million | 669 million | 1502 million | /* | 239 | ||
| External Financing - Achieve a minimum of 50% of bond and loan facilities from green financing | 50% | 260 | ||||||
| External Financing - Achieve a minimum of 80% of bond and loan facilities from green financing | 80% | 260 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Total packaging material used for finished products by Swire Properties, mainly by Swire Hotels for food packaging | tonnes | 14 | 300 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Environmental Building Assessment Schemes - 100% of wholly-owned new and existing developments to achieve the highest environmental building assessment scheme rating | 100% | 100% | 260 | |||||
| F&B tenants in Hong Kong and Chinese Mainland with Green Kitchen Awards | 76 | 15 | ||||||
| Integration - Conduct biodiversity surveys in development projects | 50% | 260 | ||||||
| New development projects achieved highest ratings | % | 100 | 15 | |||||
| New development projects to achieve highest environmental building assessment scheme rating | % | 100 | 15 | |||||
| Office tenants in Hong Kong signed the Green Performance Pledge | % | 37.9 | 126 | |||||
| Office tenants in wholly-owned portfolios to sign the Green Performance Pledge | % | 50 | 126 | |||||
| Percentage of wholly-owned existing buildings which are certified green buildings | % | 97 | 97 | 96 | 95 | 239 | ||
| Percentage of wholly-owned projects under development which are certified green buildings | % | 100 | 100 | 100 | 100 | 239 | ||
| Wholly-owned existing developments achieved highest ratings | % | 93 | 15 |
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 | 2022 | Report Pages |
|---|---|---|---|
| Climate-related financial disclosures published as per TCFD recommendations | Yes | 15 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| 30-50 years old workforce - Chinese Mainland Portfolio | 1470 | 283 | |||
| 30-50 years old workforce - Hong Kong Portfolio | 1313 | 283 | |||
| 30-50 years old workforce - Hotels | 1138 | 283 | |||
| 30-50 years old workforce - Total | 3986 | 283 | |||
| 30-50 years old workforce - U.S.A. Portfolio | 65 | 283 | |||
| Board Diversity - Maintain no less than 30% of female representation on the Board | 30% | 260 | |||
| Board age diversity - 30 years old and below (%) - Swire Properties | 0% | 286 | |||
| Board age diversity - 31 to 50 years old (%) - Swire Properties | 7.7% | 286 | |||
| Board age diversity - 51 to 60 years old (%) - Swire Properties | 23.1% | 286 | |||
| Board age diversity - Over 60 years old (%) - Swire Properties | 69.2% | 286 | |||
| Board gender diversity - Female (%) - Swire Properties | 30.8% | 286 | |||
| Board gender diversity - Male (%) - Swire Properties | 69.2% | 286 | |||
| Board nationality diversity - Local (%) - Swire Properties | 38.5% | 286 | |||
| Board nationality diversity - Non-local (%) - Swire Properties | 61.5% | 286 | |||
| Board tenure diversity - 3 years or below (%) - Swire Properties | 38.4% | 286 | |||
| Board tenure diversity - 4 to 6 years (%) - Swire Properties | 38.4% | 286 | |||
| Board tenure diversity - Over 6 years (%) - Swire Properties | 23.2% | 286 | |||
| By gender (Female) - Chinese Mainland Portfolio | 96.2% | 621 | 285 | ||
| By gender (Female) - Hong Kong Portfolio | 95.3% | 937 | 285 | ||
| By gender (Female) - Hotels | 100% | 250 | 285 | ||
| By gender (Female) - U.S.A. Portfolio | 100% | 24 | 285 | ||
| By gender (Male) - Chinese Mainland Portfolio | 96.9% | 726 | 285 | ||
| By gender (Male) - Hong Kong Portfolio | 97.1% | 1471 | 285 | ||
| By gender (Male) - Hotels | 100% | 1020 | 285 | ||
| By gender (Male) - U.S.A. Portfolio | 100% | 24 | 285 | ||
| By management role (Management) - Chinese Mainland Portfolio | 98.6% | 70 | 285 | ||
| By management role (Management) - Hong Kong Portfolio | 98.9% | 363 | 285 | ||
| By management role (Management) - Hotels | 100% | 145 | 285 | ||
| By management role (Management) - U.S.A. Portfolio | 100% | 8 | 285 | ||
| By management role (Non-management) - Chinese Mainland Portfolio | 96.5% | 1277 | 285 | ||
| By management role (Non-management) - Hong Kong Portfolio | 95.9% | 2045 | 285 | ||
| By management role (Non-management) - Hotels | 100% | 1125 | 285 | ||
| By management role (Non-management) - U.S.A. Portfolio | 100% | 40 | 285 | ||
| Chinese Mainland workforce - Chinese Mainland Portfolio | 2016 | 283 | |||
| Composition of the Board of Directors - Swire Properties | 13 | 286 | |||
| Diversity - Females in STEM-related positions (% of total STEM-related positions) (Chinese Mainland Portfolio) | 42.5% | 284 | |||
| Diversity - Females in STEM-related positions (% of total STEM-related positions) (Hong Kong Portfolio) | 24.7% | 284 | |||
| Diversity - Females in STEM-related positions (% of total STEM-related positions) (Hotels) | 44.1% | 284 | |||
| Diversity - Females in STEM-related positions (% of total STEM-related positions) (Total) | 35.5% | 284 | |||
| Diversity - Females in STEM-related positions (% of total STEM-related positions) (U.S.A. Portfolio) | 60.5% | 284 | |||
| Diversity - Females in engineering or engineering-related positions (% of total engineering or engineering-related positions) (Chinese Mainland Portfolio) | 13.2% | 284 | |||
| Diversity - Females in engineering or engineering-related positions (% of total engineering or engineering-related positions) (Hong Kong Portfolio) | 11.1% | 284 | |||
| Diversity - Females in engineering or engineering-related positions (% of total engineering or engineering-related positions) (Hotels) | 5.7% | 284 | |||
| Diversity - Females in engineering or engineering-related positions (% of total engineering or engineering-related positions) (Total) | 11.7% | 284 | |||
| Diversity - Females in engineering or engineering-related positions (% of total engineering or engineering-related positions) (U.S.A. Portfolio) | 0.0% | 284 | |||
| Diversity - Females in engineering-related positions (% of total engineering-related positions) (Chinese Mainland Portfolio) | 21.0% | 284 | |||
| Diversity - Females in engineering-related positions (% of total engineering-related positions) (Hong Kong Portfolio) | 32.0% | 284 | |||
| Diversity - Females in engineering-related positions (% of total engineering-related positions) (Hotels) | 13.6% | 284 | |||
| Diversity - Females in engineering-related positions (% of total engineering-related positions) (Total) | 22.9% | 284 | |||
| Diversity - Females in engineering-related positions (% of total engineering-related positions) (U.S.A. Portfolio) | 0.0% | 284 | |||
| Diversity - Females in junior management positions (% of junior management workforce) (Chinese Mainland Portfolio) | 56.2% | 284 | |||
| Diversity - Females in junior management positions (% of junior management workforce) (Hong Kong Portfolio) | 51.4% | 284 | |||
| Diversity - Females in junior management positions (% of junior management workforce) (Hotels) | 45.5% | 284 | |||
| Diversity - Females in junior management positions (% of junior management workforce) (Total) | 51.8% | 284 | |||
| Diversity - Females in junior management positions (% of junior management workforce) (U.S.A. Portfolio) | 43.3% | 284 | |||
| Diversity - Females in management positions (% of management workforce) (Chinese Mainland Portfolio) | 55.4% | 284 | |||
| Diversity - Females in management positions (% of management workforce) (Hong Kong Portfolio) | 52.2% | 284 | |||
| Diversity - Females in management positions (% of management workforce) (Hotels) | 46.1% | 284 | |||
| Diversity - Females in management positions (% of management workforce) (Total) | 51.6% | 284 | |||
| Diversity - Females in management positions (% of management workforce) (U.S.A. Portfolio) | 40.0% | 284 | |||
| Diversity - Females in management positions of STEM-related positions (% of total management workforce) (Chinese Mainland Portfolio) | 52.2% | 284 | |||
| Diversity - Females in management positions of STEM-related positions (% of total management workforce) (Hong Kong Portfolio) | 51.1% | 284 | |||
| Diversity - Females in management positions of STEM-related positions (% of total management workforce) (Hotels) | 48.7% | 284 | |||
| Diversity - Females in management positions of STEM-related positions (% of total management workforce) (Total) | 51.9% | 284 | |||
| Diversity - Females in management positions of STEM-related positions (% of total management workforce) (U.S.A. Portfolio) | 41.7% | 284 | |||
| Diversity - Females in non-management positions (% of total non-management workforce) (Chinese Mainland Portfolio) | 25.6% | 284 | |||
| Diversity - Females in non-management positions (% of total non-management workforce) (Hong Kong Portfolio) | 31.4% | 284 | |||
| Diversity - Females in non-management positions (% of total non-management workforce) (Hotels) | 49.1% | 284 | |||
| Diversity - Females in non-management positions (% of total non-management workforce) (Total) | 35.6% | 284 | |||
| Diversity - Females in non-management positions (% of total non-management workforce) (U.S.A. Portfolio) | 40.0% | 284 | |||
| Diversity - Females in senior management positions (% of senior management workforce) (Chinese Mainland Portfolio) | 29.4% | 284 | |||
| Diversity - Females in senior management positions (% of senior management workforce) (Hong Kong Portfolio) | 52.6% | 284 | |||
| Diversity - Females in senior management positions (% of senior management workforce) (Hotels) | 26.4% | 284 | |||
| Diversity - Females in senior management positions (% of senior management workforce) (Total) | 38.3% | 284 | |||
| Diversity - Females in senior management positions (% of senior management workforce) (U.S.A. Portfolio) | 0.0% | 284 | |||
| Diversity - Positions held by local management positions (% of total management workforce) (Chinese Mainland Portfolio) | 37.5% | 284 | |||
| Diversity - Positions held by local management positions (% of total management workforce) (Hong Kong Portfolio) | 65.6% | 284 | |||
| Diversity - Positions held by local management positions (% of total management workforce) (Hotels) | 52.9% | 284 | |||
| Diversity - Positions held by local management positions (% of total management workforce) (Total) | 54.1% | 284 | |||
| Diversity - Positions held by local management positions (% of total management workforce) (U.S.A. Portfolio) | 37.5% | 284 | |||
| Employer Branding - Improve employee Net Promoter Score | 10% | 260 | |||
| Engagement - Achieve an employee engagement index rating at 90% or above | 90% | 260 | |||
| Female representation on Board | % | 31 | 15 | ||
| Female representation on Board - minimum % | % | 30 | 15 | ||
| Female workforce - Chinese Mainland Portfolio | 740 | 283 | |||
| Female workforce - Hong Kong Portfolio | 733 | 283 | |||
| Female workforce - Hotels | 853 | 283 | |||
| Female workforce - Total | 2363 | 283 | |||
| Female workforce - U.S.A. Portfolio | 37 | 283 | |||
| Fixed-term employment contract - Hong Kong Portfolio | 255 | 283 | |||
| Fixed-term employment contract - Hotels | 101 | 283 | |||
| Fixed-term employment contract - Total | 356 | 283 | |||
| Full-time employment - Chinese Mainland Portfolio | 2016 | 283 | |||
| Full-time employment - Hong Kong Portfolio | 2039 | 283 | |||
| Full-time employment - Hotels | 1939 | 283 | |||
| Full-time employment - Total | 6091 | 283 | |||
| Full-time employment - U.S.A. Portfolio | 97 | 283 | |||
| Gender Pay Ratio (Female to Male) - By management role - Management (Chinese Mainland Portfolio) | 1.14 | 284 | |||
| Gender Pay Ratio (Female to Male) - By management role - Management (Hong Kong Portfolio) | 1.169 | 284 | |||
| Gender Pay Ratio (Female to Male) - By management role - Management (Hotels) | 1.115 | 284 | |||
| Gender Pay Ratio (Female to Male) - By management role - Management (Total) | 1.148 | 284 | |||
| Gender Pay Ratio (Female to Male) - By management role - Management (U.S.A. Portfolio) | 1.097 | 284 | |||
| Gender Pay Ratio (Female to Male) - By non-management role (Chinese Mainland Portfolio) | 1.084 | 284 | |||
| Gender Pay Ratio (Female to Male) - By non-management role (Hong Kong Portfolio) | 1.087 | 284 | |||
| Gender Pay Ratio (Female to Male) - By non-management role (Hotels) | 1.127 | 284 | |||
| Gender Pay Ratio (Female to Male) - By non-management role (Total) | 1.121 | 284 | |||
| Gender Pay Ratio (Female to Male) - By non-management role (U.S.A. Portfolio) | 1.131 | 284 | |||
| Gender Pay Ratio (Female to Male) - Total (Chinese Mainland Portfolio) | 1.079 | 284 | |||
| Gender Pay Ratio (Female to Male) - Total (Hong Kong Portfolio) | 1.084 | 284 | |||
| Gender Pay Ratio (Female to Male) - Total (Hotels) | 1.112 | 284 | |||
| Gender Pay Ratio (Female to Male) - Total (Total) | 1.092 | 284 | |||
| Gender Pay Ratio (Female to Male) - Total (U.S.A. Portfolio) | 1.094 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By management role (Chinese Mainland Portfolio) | 1.142 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By management role (Hong Kong Portfolio) | 1.116 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By management role (Hotels) | 1.12 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By management role (Total) | 1.121 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By management role (U.S.A. Portfolio) | 1.105 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By non-management role (Chinese Mainland Portfolio) | 1.098 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By non-management role (Hong Kong Portfolio) | 1.122 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By non-management role (Hotels) | 1.099 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By non-management role (Total) | 1.115 | 284 | |||
| Gender Remuneration Ratio (Female to Male) - By non-management role (U.S.A. Portfolio) | 1.097 | 284 | |||
| Gender balance in management positions held by women | % | 38.3 | 15 | ||
| Gender pay ratio (female to male) | to 1 | 1.02 | 1 | 15 | |
| Hong Kong workforce - Hong Kong Portfolio | 2133 | 283 | |||
| Hotels workforce - Hotels | 1973 | 283 | |||
| Male workforce - Chinese Mainland Portfolio | 1276 | 283 | |||
| Male workforce - Hong Kong Portfolio | 1455 | 283 | |||
| Male workforce - Hotels | 1120 | 283 | |||
| Male workforce - Total | 3429 | 283 | |||
| Male workforce - U.S.A. Portfolio | 60 | 283 | |||
| Management workforce - Chinese Mainland Portfolio | 161 | 283 | |||
| Management workforce - Hong Kong Portfolio | 108 | 283 | |||
| Management workforce - Hotels | 104 | 283 | |||
| Management workforce - Total | 374 | 283 | |||
| Management workforce - U.S.A. Portfolio | 9 | 283 | |||
| New hire rate - Total | 23.6% | 283 | |||
| New hires - Chinese Mainland Portfolio | 372 | 283 | |||
| New hires - Hong Kong Portfolio | 476 | 283 | |||
| New hires - Hotels | 666 | 283 | |||
| New hires - Total | 1531 | 283 | |||
| New hires - U.S.A. Portfolio | 17 | 283 | |||
| Number of employees entitled to parental leave (by gender) - Female - Chinese Mainland Portfolio | 642 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Female - Hong Kong Portfolio | 824 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Female - Hotels | 763 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Female - Total | 2238 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Female - U.S.A. Portfolio | 12 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Male - Chinese Mainland Portfolio | 1090 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Male - Hong Kong Portfolio | 1449 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Male - Hotels | 1059 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Male - Total | 3611 | 286 | |||
| Number of employees entitled to parental leave (by gender) - Male - U.S.A. Portfolio | 10 | 286 | |||
| Number of employees entitled to parental leave - Chinese Mainland Portfolio | 1732 | 286 | |||
| Number of employees entitled to parental leave - Hong Kong Portfolio | 2273 | 286 | |||
| Number of employees entitled to parental leave - Hotels | 1822 | 286 | |||
| Number of employees entitled to parental leave - Total | 5849 | 286 | |||
| Number of employees entitled to parental leave - U.S.A. Portfolio | 22 | 286 | |||
| Over 50 years old workforce - Chinese Mainland Portfolio | 167 | 283 | |||
| Over 50 years old workforce - Hong Kong Portfolio | 565 | 283 | |||
| Over 50 years old workforce - Hotels | 179 | 283 | |||
| Over 50 years old workforce - Total | 932 | 283 | |||
| Over 50 years old workforce - U.S.A. Portfolio | 21 | 283 | |||
| Part-time employment - Hong Kong Portfolio | 149 | 283 | |||
| Part-time employment - Hotels | 34 | 283 | |||
| Part-time employment - Total | 183 | 283 | |||
| Percentage of open positions filled by internal candidates - Chinese Mainland Portfolio | 33.1% | 283 | |||
| Percentage of open positions filled by internal candidates - Hong Kong Portfolio | 29.9% | 283 | |||
| Percentage of open positions filled by internal candidates - Hotels | 29.3% | 283 | |||
| Percentage of open positions filled by internal candidates - Total | 29.0% | 283 | |||
| Percentage of open positions filled by internal candidates - U.S.A. Portfolio | 37.0% | 283 | |||
| Permanent employment contract - Chinese Mainland Portfolio | 2016 | 283 | |||
| Permanent employment contract - Hong Kong Portfolio | 2083 | 283 | |||
| Permanent employment contract - Hotels | 1872 | 283 | |||
| Permanent employment contract - Total | 6068 | 283 | |||
| Permanent employment contract - U.S.A. Portfolio | 97 | 283 | |||
| Policy, Strategy and Governance - Maintain a female representation of no less than 40% in the workforce | 40% | 260 | |||
| Policy, Strategy and Governance - Maintain a gender pay ratio at 1:1 | 1:1 | 1:1 | 260 | ||
| Promotion - By gender - Female (Chinese Mainland Portfolio) | 11.9% | 43 | 284 | ||
| Promotion - By gender - Female (Hong Kong Portfolio) | 8.4% | 29 | 284 | ||
| Promotion - By gender - Female (Hotels) | 16.6% | 108 | 284 | ||
| Promotion - By gender - Female (Total) | 13.3% | 183 | 284 | ||
| Promotion - By gender - Female (U.S.A. Portfolio) | 11.1% | 3 | 284 | ||
| Promotion - By management level - Management (Chinese Mainland Portfolio) | 9.5% | 7 | 284 | ||
| Promotion - By management level - Management (Hong Kong Portfolio) | 14.0% | 8 | 284 | ||
| Promotion - By management level - Management (Hotels) | 5.5% | 7 | 284 | ||
| Promotion - By management level - Management (Total) | 12.0% | 24 | 284 | ||
| Promotion - By management level - Management (U.S.A. Portfolio) | 20.0% | 2 | 284 | ||
| Return to work rate (%) - Chinese Mainland Portfolio | 100% | 286 | |||
| Return to work rate (%) - Hong Kong Portfolio | 100% | 286 | |||
| Return to work rate (%) - Hotels | 100% | 286 | |||
| Return to work rate (%) - Total | 100% | 286 | |||
| Return to work rate (%) - U.S.A. Portfolio | 100% | 286 | |||
| Total new hires, Chinese Mainland | persons | 690 | 85 | ||
| Total new hires, Chinese Mainland (percentage) | percentage | 45.1% | 85 | ||
| Total new hires, Hong Kong | persons | 662 | 85 | ||
| Total new hires, Hong Kong (percentage) | percentage | 43.2% | 85 | ||
| Total new hires, Miami, U.S.A. | persons | 179 | 85 | ||
| Total new hires, Miami, U.S.A. (percentage) | percentage | 11.7% | 85 | ||
| Total new hires, all regions | persons | 1531 | 85 | ||
| Total number of Directors - Swire Properties | 13 | 286 | |||
| Total number of employees took parental leave (by gender) - Female - Chinese Mainland Portfolio | 8 | 286 | |||
| Total number of employees took parental leave (by gender) - Female - Hong Kong Portfolio | 16 | 286 | |||
| Total number of employees took parental leave (by gender) - Female - Hotels | 21 | 286 | |||
| Total number of employees took parental leave (by gender) - Female - Total | 45 | 286 | |||
| Total number of employees took parental leave (by gender) - Male - Chinese Mainland Portfolio | 8 | 286 | |||
| Total number of employees took parental leave (by gender) - Male - Hong Kong Portfolio | 14 | 286 | |||
| Total number of employees took parental leave (by gender) - Male - Hotels | 7 | 286 | |||
| Total number of employees took parental leave (by gender) - Male - Total | 29 | 286 | |||
| Total number of employees took parental leave - Chinese Mainland Portfolio | 16 | 286 | |||
| Total number of employees took parental leave - Hong Kong Portfolio | 30 | 286 | |||
| Total number of employees took parental leave - Hotels | 28 | 286 | |||
| Total number of employees took parental leave - Total | 74 | 286 | |||
| Total workforce - Chinese Mainland Portfolio | 2016 | 283 | |||
| Total workforce - Hong Kong Portfolio | 2188 | 283 | |||
| Total workforce - Hotels | 1973 | 283 | |||
| Total workforce - Total | 6497 | 283 | |||
| Total workforce - U.S.A. Portfolio | 97 | 283 | |||
| U.S.A. workforce - U.S.A. Portfolio | 97 | 283 | |||
| Under 30 years old workforce - Chinese Mainland Portfolio | 379 | 283 | |||
| Under 30 years old workforce - Hong Kong Portfolio | 310 | 283 | |||
| Under 30 years old workforce - Hotels | 656 | 283 | |||
| Under 30 years old workforce - Total | 1356 | 283 | |||
| Under 30 years old workforce - U.S.A. Portfolio | 11 | 283 | |||
| Workforce representation of no less than 40% who are female | % | 40 | 15 | ||
| Workforce representation who are female | % | 40.2 | 15 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2025 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate | % | 18.6% | 82 | |
| Engagement - Improve turnover rate by | 5.5% | 260 | ||
| Improvement in employee turnover rate compared to 2018 baseline | % | 21.2% | 82 | |
| New hire rate - Chinese Mainland Portfolio | 18.4% | 283 | ||
| New hire rate - Hong Kong Portfolio | 22.9% | 283 | ||
| New hire rate - Hotels | 33.8% | 283 | ||
| New hire rate - U.S.A. Portfolio | 17.5% | 283 | ||
| Promotion - Total number and rate of employees promoted (Chinese Mainland Portfolio) | 7.5% | 152 | 284 | |
| Promotion - Total number and rate of employees promoted (Hong Kong Portfolio) | 6.5% | 84 | 284 | |
| Promotion - Total number and rate of employees promoted (Hotels) | 13.0% | 203 | 284 | |
| Promotion - Total number and rate of employees promoted (Total) | 8.8% | 518 | 284 | |
| Promotion - Total number and rate of employees promoted (U.S.A. Portfolio) | 11.3% | 9 | 284 | |
| Retention rate (%) - Chinese Mainland Portfolio | 100% | 286 | ||
| Retention rate (%) - Hong Kong Portfolio | 100% | 286 | ||
| Retention rate (%) - Hotels | 100% | 286 | ||
| Retention rate (%) - Total | 100% | 286 | ||
| Retention rate (%) - U.S.A. Portfolio | 100% | 286 | ||
| Turnover - Chinese Mainland Portfolio | 230 | 283 | ||
| Turnover - Hong Kong Portfolio | 386 | 283 | ||
| Turnover - Hotels | 297 | 283 | ||
| Turnover - Total | 924 | 283 | ||
| Turnover - U.S.A. Portfolio | 11 | 283 | ||
| Turnover rate - Chinese Mainland Portfolio | 11.4% | 283 | ||
| Turnover rate - Hong Kong Portfolio | 18.4% | 283 | ||
| Turnover rate - Hotels | 15.1% | 283 | ||
| Turnover rate - Total | 14.2% | 283 | ||
| Turnover rate - U.S.A. Portfolio | 11.3% | 283 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Accident frequency rate - Hong Kong Development Projects | 0.09 | 286 | |||
| Accident rate of contractor workers at Hong Kong development projects | per 1000 contractor workers | 0.9 | 135 | ||
| Contractors Health and Safety - Reduce 5-year rolling average of accident rate per 1000 contractor workers in our Hong Kong development projects by | 50% | 70% | 260 | ||
| Reduction in 5-year rolling average of accident rate per 1000 contractor workers in Hong Kong development projects | % | 50 | 126 | ||
| Reduction in accident rate for contractor workers in Hong Kong development projects | % | 64 | 126 | ||
| Serious incidents | zero | 82 | |||
| Work-related fatalities | zero | 82 |
Lost days due to work injury.
| Indicator | Unit | 2020 | 2021 | 2022 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Absentee rate (%) - Chinese Mainland Portfolio | % | 1.1 | 286 | |||
| Absentee rate (%) - Hong Kong Portfolio | % | 2.35 | 286 | |||
| Absentee rate (%) - Hotels | % | 2.21 | 286 | |||
| Absentee rate (%) - Total | % | 1.72 | 286 | |||
| Lost Day Rate (LDR) | 48.8 | 35.86 | 31.42 | 100 | ||
| Lost Time Injury Rate (LTIR) | 1.25 | 0.96 | 0.87 | 100 | ||
| Lost Time Injury Rate (LTIR) - Hotel operations | 1.56 | 2 | 15 | |||
| Lost Time Injury Rate (LTIR) - Non-hotel operations | 0.57 | 1.2 | 15 | |||
| Lost Time Injury Rate (LTIR) - hotel operations | 1.56 | 100 | ||||
| Lost Time Injury Rate (LTIR) - non-hotel operations | 0.57 | 100 | ||||
| Lost Time Injury Rate of contractor workers at Hong Kong development projects | per 100 contractor workers per year | 0.06 | 135 | |||
| Lost day rate (per 100 employees) - Chinese Mainland Portfolio | 0.02 | 286 | ||||
| Lost day rate (per 100 employees) - Hong Kong Portfolio | 0.08 | 286 | ||||
| Lost day rate (per 100 employees) - Hotels | 0.22 | 286 | ||||
| Lost day rate (per 100 employees) - Total | 0.09 | 286 | ||||
| Lost time injury rate (LTIR) for hotel operations | 1.56 | 82 | ||||
| Lost time injury rate (LTIR) for non-hotel operations | 0.57 | 82 | ||||
| Lost time injury rate (LTR) - Hong Kong Development Projects | 0.09 | 286 | ||||
| Lost time injury rate (per 100 employees) - Chinese Mainland Portfolio | 0.13 | 286 | ||||
| Lost time injury rate (per 100 employees) - Hong Kong Portfolio | 0.91 | 286 | ||||
| Lost time injury rate (per 100 employees) - Hotels | 1.76 | 286 | ||||
| Lost time injury rate (per 100 employees) - Total | 0.99 | 286 | ||||
| Number of lost time injuries - Chinese Mainland Portfolio | 2 | 286 | ||||
| Number of lost time injuries - Hong Kong Development Projects | 6 | 286 | ||||
| Number of lost time injuries - Hong Kong Portfolio | 24 | 286 | ||||
| Number of lost time injuries - Hotels | 32 | 286 | ||||
| Number of lost time injuries - Total | 58 | 286 | ||||
| Safety - Maintain a LTIR at or below 1.2 for non-hotel operations and at or below 2.0 for hotel operations | 1.2 | 260 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Percentage of sites in compliance with occupational health and safety management system (ISO 45001) - Chinese Mainland Portfolio | 59.4% | 286 | |
| Percentage of sites in compliance with occupational health and safety management system (ISO 45001) - Hong Kong Portfolio | 100% | 286 | |
| Percentage of sites in compliance with occupational health and safety management system (ISO 45001) - Hotels | 0% | 286 | |
| Percentage of sites in compliance with occupational health and safety management system (ISO 45001) - Total | 55.2% | 286 | |
| Percentage of sites in compliance with occupational health and safety management system (ISO 45001) - U.S.A. Portfolio | 0% | 286 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Employee engagement index rating | % | 88% | 82 |
| Percentage of employees received training on unconscious bias related training - Chinese Mainland Portfolio | 94.7% | 1909 | 285 |
| Percentage of employees received training on unconscious bias related training - Hong Kong Portfolio | 91.9% | 2128 | 285 |
| Percentage of employees received training on unconscious bias related training - Hotels | 100% | 1973 | 285 |
| Percentage of employees received training on unconscious bias related training - Total | 95.3% | 6058 | 285 |
| Percentage of employees received training on unconscious bias related training - U.S.A. Portfolio | 100% | 48 | 285 |
| Performance Review - By gender - Female (Chinese Mainland Portfolio) | 99.7% | 1172 | 284 |
| Performance Review - By gender - Female (Hong Kong Portfolio) | 99.8% | 1462 | 284 |
| Performance Review - By gender - Female (Hotels) | 98.5% | 1045 | 284 |
| Performance Review - By gender - Female (Total) | 98.4% | 3719 | 284 |
| Performance Review - By gender - Female (U.S.A. Portfolio) | 100% | 40 | 284 |
| Performance Review - By management role - Management (Chinese Mainland Portfolio) | 99.6% | 759 | 284 |
| Performance Review - By management role - Management (Hong Kong Portfolio) | 100% | 573 | 284 |
| Performance Review - By management role - Management (Hotels) | 99.5% | 195 | 284 |
| Performance Review - By management role - Management (Total) | 99.3% | 1567 | 284 |
| Performance Review - By management role - Management (U.S.A. Portfolio) | 100% | 40 | 284 |
| Performance Review - By management role - Non-management (Chinese Mainland Portfolio) | 99.3% | 1244 | 284 |
| Performance Review - By management role - Non-management (Hong Kong Portfolio) | 99.4% | 1200 | 284 |
| Performance Review - By management role - Non-management (Hotels) | 98.4% | 1653 | 284 |
| Performance Review - By management role - Non-management (Total) | 96.3% | 4637 | 284 |
| Performance Review - By management role - Non-management (U.S.A. Portfolio) | 100% | 40 | 284 |
| Performance Review - Employees received regular performance review (Chinese Mainland Portfolio) | 99.4% | 2003 | 284 |
| Performance Review - Employees received regular performance review (Hong Kong Portfolio) | 99.6% | 2273 | 284 |
| Performance Review - Employees received regular performance review (Hotels) | 98.5% | 1848 | 284 |
| Performance Review - Employees received regular performance review (Total) | 97.5% | 6204 | 284 |
| Performance Review - Employees received regular performance review (U.S.A. Portfolio) | 100% | 80 | 284 |
| Sustainable business unconscious bias training hours - Chinese Mainland Portfolio | 1470.5 | 285 | |
| Sustainable business unconscious bias training hours - Hong Kong Portfolio | 1490 | 285 | |
| Sustainable business unconscious bias training hours - Hotels | 2005.5 | 285 | |
| Sustainable business unconscious bias training hours - Total | 5685 | 285 | |
| Sustainable business unconscious bias training hours - U.S.A. Portfolio | 720 | 285 | |
| Total number and percentage of employees received training - Chinese Mainland Portfolio | 96.6% | 1347 | 285 |
| Total number and percentage of employees received training - Hong Kong Portfolio | 96.4% | 2408 | 285 |
| Total number and percentage of employees received training - Hotels | 100% | 1270 | 285 |
| Total number and percentage of employees received training - Total | 97.6% | 5073 | 285 |
| Total number and percentage of employees received training - U.S.A. Portfolio | 100% | 48 | 285 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2025 | Report Pages |
|---|---|---|---|---|
| Average training hours - Chinese Mainland Portfolio | 17.2 | 285 | ||
| Average training hours - Hong Kong Portfolio | 15.1 | 285 | ||
| Average training hours - Hotels | 44.3 | 285 | ||
| Average training hours - Total | 22.4 | 285 | ||
| Average training hours - U.S.A. Portfolio | 24.9 | 285 | ||
| Average training hours on health and safety per employee - Chinese Mainland Portfolio | 7.9 | 285 | ||
| Average training hours on health and safety per employee - Hong Kong Portfolio | 4.1 | 285 | ||
| Average training hours on health and safety per employee - Hotels | 4.2 | 285 | ||
| Average training hours on health and safety per employee - Total | 5.3 | 285 | ||
| Average training hours on health and safety per employee - U.S.A. Portfolio | 1 | 285 | ||
| Learning and Development - Increase in training hours per employee per year | 25% | 260 | ||
| Total training hours - Chinese Mainland Portfolio | 23163 | 285 | ||
| Total training hours - Hong Kong Portfolio | 36388 | 285 | ||
| Total training hours - Hotels | 40874 | 285 | ||
| Total training hours - Total | 101620 | 285 | ||
| Total training hours - U.S.A. Portfolio | 1195 | 285 | ||
| Total training hours for employees (corporate social responsibility related) - Chinese Mainland Portfolio | 1908.3 | 285 | ||
| Total training hours for employees (corporate social responsibility related) - Hong Kong Portfolio | 846 | 285 | ||
| Total training hours for employees (corporate social responsibility related) - Hotels | 6461.5 | 285 | ||
| Total training hours for employees (corporate social responsibility related) - Total | 7445.8 | 285 | ||
| Total training hours for employees (health and safety related training) - Chinese Mainland Portfolio | 390.2 | 285 | ||
| Total training hours for employees (health and safety related training) - Hong Kong Portfolio | 667 | 285 | ||
| Total training hours for employees (health and safety related training) - Hotels | 366.3 | 285 | ||
| Total training hours for employees (health and safety related training) - Total | 1447.7 | 285 | ||
| Total training hours for employees (health and safety related training) - U.S.A. Portfolio | 38.6 | 285 | ||
| Total training hours for employees - Chinese Mainland Portfolio | 3195.5 | 285 | ||
| Total training hours for employees - Hong Kong Portfolio | 954.8 | 285 | ||
| Total training hours for employees - Hotels | 4325.2 | 285 | ||
| Total training hours for employees - Total | 8554 | 285 | ||
| Total training hours for employees - U.S.A. Portfolio | 80 | 285 | ||
| Total training hours on health and safety - Chinese Mainland Portfolio | 15998.8 | 285 | ||
| Total training hours on health and safety - Hong Kong Portfolio | 9460 | 285 | ||
| Total training hours on health and safety - Hotels | 8333.3 | 285 | ||
| Total training hours on health and safety - Total | 34652.1 | 285 | ||
| Total training hours on health and safety - U.S.A. Portfolio | 80 | 285 | ||
| Total training hours on human rights related topics - Chinese Mainland Portfolio | 5984.2 | 285 | ||
| Total training hours on human rights related topics - Hong Kong Portfolio | 6326 | 285 | ||
| Total training hours on human rights related topics - Hotels | 5214.4 | 285 | ||
| Total training hours on human rights related topics - Total | 17930.6 | 285 | ||
| Total training hours on human rights related topics - U.S.A. Portfolio | 400 | 285 | ||
| Training hours delivered | hours | 154000 | 15 | |
| Training hours per employee per year | hours | 24 | 15 | |
| Training hours per employee per year - increase | % | 97 | 25 | 15 |
Description of steps taken to eliminate such practices when discovered.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| KPI B4.2 - Steps taken to eliminate such practices when discovered | In 2022, we did not discover any such practices in our operations. | 303 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Proportion of current bond and loan facilities in green format | 60% | 225 |
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 | 2022 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Monitoring (Compliance) - Implementation of the Supplier Code of Conduct in all portfolios | 100% | 100% | 260 | ||
| Sustainable procurement amount | million HKD | 1477 | 15 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Purchased goods and services - Upstream emissions from extraction, production and transportation processes associated with Swire Properties’ purchased goods and services | Tonnes of CO2 | 75229 | 113849 | 90124 | 131214 | 97952 | 280 | |
| Suppliers - 5-year rolling average of accident rate reduction in Hong Kong development projects | % | 5 | 15 | |||||
| Suppliers - Two Taikoo Place are Platinum-certified under Construction Industry Council Green Product Certification | 100% | 15 | ||||||
| Suppliers - reduction in accident rate | % | 64 | 15 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2025 | Report Pages |
|---|---|---|---|---|
| Driving Impact - Products and services purchased for wholly-owned and new and existing investment portfolios that will be sustainable | 25% | 260 | ||
| Suppliers - % of products and services purchased shall be sustainable | % | 25 | 15 | |
| Suppliers - % of products and services purchased were sustainable | % | 17 | 15 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|---|---|
| KPI B6.1 - Percentage of total products sold or shipped subject to recalls for safety and health reasons | In 2022, we were not aware of any recall concerning the provision and use of products and services for safety and health reasons that have a significant impact on Swire Properties. | 303 | |||||
| Processing of sold products - 2018 | N/A | 281 | |||||
| Processing of sold products - 2019 | N/A | 281 | |||||
| Processing of sold products - 2020 | N/A | 281 | |||||
| Processing of sold products - 2021 | N/A | 281 | |||||
| Processing of sold products - 2022 | N/A | 281 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2025 | Report Pages |
|---|---|---|---|---|
| KPI B6.2 - Number of products and service related complaints received and how they are dealt with | In 2022, there were no substantiated complaints received relating to the provision and use of products and services that have a significant impact on Swire Properties. | 303 | ||
| Tenant Engagement - Tenants in wholly-owned portfolios sign the Green Performance Pledge to jointly improve environmental performance by 2025 | 50% | 260 | ||
| Tenants - % of tenants in our office portfolio in Hong Kong signed the Green Performance Pledge | % | 37.9 | 15 | |
| Tenants - % of tenants in our office portfolios sign the Green Performance Pledge | % | 50 | 15 | |
| Tenants signed the Green Performance Pledge in Hong Kong | 52 | 126 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| By management role (Management) - Chinese Mainland Portfolio (personal data protection) | 93.3% | 478 | 285 |
| By management role (Management) - Hong Kong Portfolio (personal data protection) | 95.1% | 316 | 285 |
| By management role (Management) - Hotels (personal data protection) | 100% | 147 | 285 |
| By management role (Management) - Total (personal data protection) | 97.6% | 981 | 285 |
| By management role (Management) - U.S.A. Portfolio (personal data protection) | 100% | 40 | 285 |
| By management role (Non-management) - Chinese Mainland Portfolio (personal data protection) | 91.6% | 1095 | 285 |
| By management role (Non-management) - Hong Kong Portfolio (personal data protection) | 97.7% | 1099 | 285 |
| By management role (Non-management) - Hotels (personal data protection) | 100% | 1826 | 285 |
| By management role (Non-management) - Total (personal data protection) | 97.0% | 5178 | 285 |
| By management role (Non-management) - U.S.A. Portfolio (personal data protection) | 88.9% | 40 | 285 |
| Percentage of employees received training on personal data protection - Chinese Mainland Portfolio | 92.1% | 1573 | 285 |
| Percentage of employees received training on personal data protection - Hong Kong Portfolio | 97.8% | 2533 | 285 |
| Percentage of employees received training on personal data protection - Hotels | 100% | 1973 | 285 |
| Percentage of employees received training on personal data protection - Total | 97.0% | 6159 | 285 |
| Percentage of employees received training on personal data protection - U.S.A. Portfolio | 94.3% | 80 | 285 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Underlying profit attributable to shareholders | million HKD | 8706 | 15 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Anti-corruption related training hours - Chinese Mainland Portfolio | 1343.7 | 285 | |
| Anti-corruption related training hours - Hong Kong Portfolio | 1857.3 | 285 | |
| Anti-corruption related training hours - Hotels | 3610.2 | 285 | |
| Anti-corruption related training hours - Total | 8891.1 | 285 | |
| Anti-corruption related training hours - U.S.A. Portfolio | 80 | 285 | |
| By management role (Management) - Chinese Mainland Portfolio (anti-corruption) | 98.1% | 519 | 285 |
| By management role (Management) - Hong Kong Portfolio (anti-corruption) | 92.8% | 511 | 285 |
| By management role (Management) - Hotels (anti-corruption) | 100% | 147 | 285 |
| By management role (Management) - Total (anti-corruption) | 84.2% | 1587 | 285 |
| By management role (Management) - U.S.A. Portfolio (anti-corruption) | 100% | 40 | 285 |
| By management role (Non-management) - Chinese Mainland Portfolio (anti-corruption) | 69.5% | 1087 | 285 |
| By management role (Non-management) - Hong Kong Portfolio (anti-corruption) | 62.8% | 1098 | 285 |
| By management role (Non-management) - Hotels (anti-corruption) | 100% | 1826 | 285 |
| By management role (Non-management) - Total (anti-corruption) | 81.4% | 3681 | 285 |
| By management role (Non-management) - U.S.A. Portfolio (anti-corruption) | 100% | 40 | 285 |
| Percentage of employees received training on anti-corruption related training - Chinese Mainland Portfolio | 79.7% | 1606 | 285 |
| Percentage of employees received training on anti-corruption related training - Hong Kong Portfolio | 68.0% | 1609 | 285 |
| Percentage of employees received training on anti-corruption related training - Hotels | 100% | 1973 | 285 |
| Percentage of employees received training on anti-corruption related training - Total | 82.2% | 5268 | 285 |
| Percentage of employees received training on anti-corruption related training - U.S.A. Portfolio | 100% | 80 | 285 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Community Ambassador Programme - activities | activities | 73 | 15 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2025 | Report Pages |
|---|---|---|---|---|
| Community Ambassador Programme - volunteer service hours | hours | 6100 | 15 | |
| Green financing - % of current bond and loan facilities from green financing | % | 60 | 15 | |
| Green financing - minimum % of current and bond facilities from green financing | % | 50 | 15 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonnes CO2e | 10786 | 10737 | 9860 | 11253 | 9856 |
| Indirect Energy Emissions (Scope 2) | Tonnes CO2e | 184882 | 167021 | 143680 | 165675 | 196071 |
| Scope 3 GHG Emissions (Business Travel) | Tonnes of CO2e | 3364 | 3360 | 1982 | 3764 | 3947 |
| Scope 3 GHG Emissions (Capital Goods) | Tonnes of CO2 | 174214 | 76783 | |||
| Scope 3 GHG Emissions (Downstream Leased Assets) | Tonnes of CO2e | 168403 | 179515 | 139414 | 131478 | 130657 |
| Scope 3 GHG Emissions (Employee Commuting) | Tonnes of CO2e | 12750 | 12750 | 12750 | 12750 | 12750 |
| Scope 3 GHG Emissions (End-of-life Treatment of Sold Products) | Tonnes of CO2e | 41 | 49 | 51 | 54 | 276 |
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | Tonnes of CO2 | 2038 | 1922 | 2063 | 2117 | 5729 |
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | Tonnes of CO2 | 6161 | 5953 | 5571 | 6652 | 5788 |
| Scope 3 GHG Emissions (Use of Sold Products) | Tonnes of CO2e | 60025 | ||||
| Total GHG Emissions | Tonnes of CO2e | 230265 | 203316 | 176841 | 165549 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Hazardous Waste Disposed | Tonnes | 1 |
| Hazardous Waste Recycled | Tonnes | 1 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Diversion Rate of Non-Hazardous Waste | percent | 19 |
| Non-Hazardous Waste (Construction Waste) | Tonnes | 40246 |
| Non-Hazardous Waste Disposed | Tonnes | 45929 |
| Non-Hazardous Waste Recycled | Tonnes | 14466 |
| Paper Waste | Tonnes | 41 |
| Plastic Waste | Tonnes | 34 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 | 2025 | 2030 |
|---|---|---|---|---|
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 28 | ||
| Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2019 | % | 25 | 46 |
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 |
|---|---|---|
| Diesel Fuel Consumption | Litres | 1040 |
| Direct Energy Consumption Intensity (By Area per Year) | GJ/m2/year | 0.089 |
| Energy Consumption Intensity (By Area per Year) | kWh/m²/year | 95 |
| Gasoline Consumption | Litres | 2400 |
| Indirect Energy Consumption Intensity (By Area per Year) | GJ/m2/year | 0.816 |
| Natural Gas Consumption | MJ | 146745 |
| Percentage of Renewable Energy Consumption | % | 24.1 |
| Purchased Electricity | MWh | 240269 |
| Total Direct Energy Consumption | GJ | 177288 |
| Total Energy Consumption | GJ | 1436843 |
| Total Indirect Energy Consumption | GJ | 938670 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Municipal Water Consumption | 000 m3 | 1403 |
| Total Wastewater Discharge | 000 m3 | 36495 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 | 2025 | 2030 |
|---|---|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 9 | ||
| Target Electricity Usage Reduction Percentage Compared to Last Year | % | 20 | 40 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Packaging Materials Consumed | tonnes | 14 |
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 | 2023-2025 |
|---|---|---|
| Investment in Climate Change Management | million HKD | 3159 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Employees Aged 30-50 | persons | 3986 |
| Number of Employees Aged Above 50 | persons | 932 |
| Number of Employees Aged Below 30 | persons | 1356 |
| Number of Employees in Hong Kong | persons | 2188 |
| Number of Employees in Mainland China | persons | 2016 |
| Number of Employees in United States | persons | 97 |
| Number of Female Employees | persons | 2363 |
| Number of Full-time Employees | persons | 6091 |
| Number of Male Employees | persons | 3429 |
| Number of New Employees | persons | 1531 |
| Number of New Employees (Hong Kong) | persons | 662 |
| Number of New Employees (Mainland China) | persons | 690 |
| Number of New Employees (Overseas) | persons | 179 |
| Number of Part-time Employees | persons | 183 |
| Number of Senior Management Employees | persons | 374 |
| Number of Total Employees | persons | 6497 |
| Percentage of Employees Aged 30-50 | % | 61.3 |
| Percentage of Employees Aged Above 50 | % | 14.3 |
| Percentage of Employees Aged Below 30 | % | 20.9 |
| Percentage of Employees in Hong Kong | % | 33.7 |
| Percentage of Employees in Mainland China | % | 31 |
| Percentage of Employees in United States | % | 1.5 |
| Percentage of Female Employees | % | 40.2 |
| Percentage of Full-time Employees | % | 93.7 |
| Percentage of Male Employees | % | 52.8 |
| Percentage of New Employees | % | 23.6 |
| Percentage of Part-time Employees | % | 2.8 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Turnover Rate of Employees in Hong Kong | % | 18.4 |
| Turnover Rate of Employees in Mainland China | % | 11.4 |
| Turnover Rate of Employees in United States | % | 11.3 |
| Turnover Rate of Total Employees | % | 14.2 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Lost Time Injury Frequency Rate (Contractor) | per 100 contractor workers per year | 0.06 |
| Lost Time Injury Frequency Rate (Hong Kong) | 0.91 | |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | 0.87 | |
| Lost Time Injury Frequency Rate (Mainland China) | 0.13 | |
| Number of Work-related Injuries | 58 | |
| Number of Work-related Injuries (Hong Kong) | 24 | |
| Number of Work-related Injuries (Mainland China) | 2 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Employees Trained | % | 97.6 |
| Percentage of Trained Hong Kong Employees | % | 96.4 |
| Percentage of Trained Mainland China Employees | % | 96.6 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Average Training Hours (Hong Kong Employees) | 15.1 | |
| Average Training Hours (Mainland China Employees) | 17.2 | |
| Average Training Hours per Employee | hours | 24 |
| Total Training Hours | hours | 154000 |
| Training Hours of ESG | hours | 7445.8 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2025 |
|---|---|---|---|
| Percentage of Suppliers Adopting Green Procurement Standards | % | 17 | 25 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Employee Coverage of Data Security Training | % | 97 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Anti-corruption Training Coverage among Directors and Management | % | 84.2 |
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 82.2 |
| Coverage of Anti-corruption Training for Employees | % | 81.4 |
| Number of Directors and Management Attendance for Anti-corruption Training | persons | 1587 |
| Number of General Employees Attendance for Anti-corruption Training | persons | 3681 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons | 5268 |
| Total Hours of Anti-corruption Training | hours | 8891.1 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Total Volunteer Service Hours | hours | 6100 |