Sustainable Development Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2020 | 2025 | Report Pages |
---|---|---|---|---|
Indoor Air Quality Management - % of buildings achieve IAQ Excellent Class in Hong Kong portfolio or fulfil the IAQ standard in the Chinese mainland portfolio | % | 90 | 196 | |
Ultra-low sulphur diesel (Chinese Mainland Portfolio) | Litres | 5000 | 212 | |
Ultra-low sulphur diesel (Hong Kong Portfolio) | Litres | 52140 | 212 | |
Ultra-low sulphur diesel (Hotels) | Litres | 3460 | 212 | |
Ultra-low sulphur diesel (Total) | Litres | 75531 | 212 | |
Ultra-low sulphur diesel (U.S.A. Portfolio) | Litres | 11928 | 212 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2020P | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Biogenic carbon (Total) | Tonnes of CO2e | 79 | 212 | |||||||
Building carbon intensity by gross floor area (Chinese mainland Portfolio) | Tonnes of CO₂e/m²/year | 0.074 | 0.073 | 0.053 | 175 | |||||
Building carbon intensity by gross floor area (HK Portfolio) | Tonnes of CO₂e/m²/year | 0.111 | 0.109 | 0.103 | 175 | |||||
Building carbon intensity by gross floor area (U.S.A. Portfolio) | Tonnes of CO₂e/m²/year | 0.102 | 0.109 | 0.085 | 175 | |||||
Business travel - 2018 | Tonnes of CO2 | 3364 | 214 | |||||||
Business travel - 2019 | Tonnes of CO2 | 3360 | 214 | |||||||
Business travel - 2020 | Tonnes of CO2 | 1982 | 214 | |||||||
Carbon Emissions Scope 1 Chinese Mainland Portfolio | Tonnes of CO2e | 5074 | 4698 | 5052 | 6057 | 4885 | 133 | |||
Carbon Emissions Scope 1 Hong Kong Portfolio | Tonnes of CO2e | 4804 | 2778 | 1679 | 1461 | 1360 | 133 | |||
Carbon Emissions Scope 1 Hotels | Tonnes of CO2e | 3497 | 3430 | 3984 | 4675 | 3599 | 133 | |||
Carbon Emissions Scope 1 U.S.A. Portfolio | Tonnes of CO2e | 56 | 51 | 33 | 133 | |||||
Carbon Emissions Scope 2 Chinese Mainland Portfolio | Tonnes of CO2e | 56585 | 53090 | 46752 | 64379 | 46166 | 133 | |||
Carbon Emissions Scope 2 Hong Kong Portfolio | Tonnes of CO2e | 138457 | 127749 | 121952 | 110557 | 112364 | 133 | |||
Carbon Emissions Scope 2 Hotels | Tonnes of CO2e | 21639 | 26210 | 29546 | 35421 | 27735 | 133 | |||
Carbon Emissions Scope 2 U.S.A. Portfolio | Tonnes of CO2e | 7333 | 7664 | 4924 | 133 | |||||
Carbon intensity - location based method (Chinese Mainland Portfolio) | Tonnes of CO2-e/m2/year | 0.074 | 0.073 | 213 | ||||||
Carbon intensity - location based method (Hong Kong Portfolio) | Tonnes of CO2-e/m2/year | 0.116 | 0.111 | 0.109 | 0.103 | 213 | ||||
Carbon intensity - location based method (Hotels) | Tonnes of CO2-e/m2/year | 0.061 | 0.036 | 0.036 | 0.051 | 213 | ||||
Carbon intensity - location based method (U.S.A. Portfolio) | Tonnes of CO2-e/m2/year | 0.102 | 0.109 | 0.085 | 213 | |||||
Carbon intensity - market based method (Chinese Mainland Portfolio) | Tonnes of CO2-e/m2/year | 0.074 | 0.073 | 213 | ||||||
Carbon intensity - market based method (Hong Kong Portfolio) | Tonnes of CO2-e/m2/year | 0.116 | 0.111 | 0.109 | 0.103 | 213 | ||||
Carbon intensity - market based method (Hotels) | Tonnes of CO2-e/m2/year | 0.053 | 0.061 | 0.046 | 0.049 | 213 | ||||
Carbon intensity - market based method (U.S.A. Portfolio) | Tonnes of CO2-e/m2/year | 0.102 | 0.109 | 0.085 | 213 | |||||
Carbon intensity, Chinese Mainland Portfolio | 4.22% | 13 | ||||||||
Carbon intensity, Hong Kong Portfolio | 4.41% | 13 | ||||||||
Decarbonisation - SPIs Operational Carbon Emissions (Scope 1 and 2 SBT): Reduce carbon intensity by 35% per square metre | % per square metre | 35 | 196 | |||||||
Decarbonisation - SPIs Operational Carbon Emissions (Scope 1 and 2 SBT): Reduce carbon intensity by 52% per square metre | % per square metre | 52 | 196 | |||||||
Decarbonisation - Value Chain Emissions (Scope 3 SBT – Capital Goods): Reduce embodied carbon intensity from new major developments by 25% per square metre construction floor | % per square metre construction floor | 25 | 196 | |||||||
Decarbonisation - Value Chain Emissions (Scope 3 SBT – Leased Downstream): Reduce carbon intensity from tenants’ electricity use in wholly owned investment portfolios by 28% per square metre | % per square metre | 28 | 196 | |||||||
Direct carbon emissions (Scope 1) (Chinese Mainland Portfolio) | Tonnes of CO2e | 4865 | 212 | |||||||
Direct carbon emissions (Scope 1) (Hong Kong Portfolio) | Tonnes of CO2e | 2630 | 212 | |||||||
Direct carbon emissions (Scope 1) (Hotels) | Tonnes of CO2e | 3599 | 212 | |||||||
Direct carbon emissions (Scope 1) (Total) | Tonnes of CO2e | 12127 | 212 | |||||||
Direct carbon emissions (Scope 1) (U.S.A. Portfolio) | Tonnes of CO2e | 33 | 212 | |||||||
Downstream leased assets emissions (Scope 3) - Hong Kong Portfolio | Tonnes of CO2 e | 168403 | 179515 | 139414 | 215 | |||||
Employee commuting emissions (Scope 3) | Tonnes of CO2 e | 12750 | 12750 | 12750 | 215 | |||||
End-of-life treatment of sold products emissions (Scope 3) | Tonnes of CO2 e | 41 | 49 | 51 | 215 | |||||
Fuel- and energy-related activities (not included in scope 1 or scope 2) - 2018 | Tonnes of CO2 | 2038 | 214 | |||||||
Fuel- and energy-related activities (not included in scope 1 or scope 2) - 2019 | Tonnes of CO2 | 1922 | 214 | |||||||
Fuel- and energy-related activities (not included in scope 1 or scope 2) - 2020 | Tonnes of CO2 | 2063 | 214 | |||||||
Indirect carbon emissions (Scope 2) - location-based method (Chinese Mainland Portfolio) | Tonnes of CO2e | 15782 | 212 | |||||||
Indirect carbon emissions (Scope 2) - location-based method (Hong Kong Portfolio) | Tonnes of CO2e | 112410 | 212 | |||||||
Indirect carbon emissions (Scope 2) - location-based method (Hotels) | Tonnes of CO2e | 29753 | 212 | |||||||
Indirect carbon emissions (Scope 2) - location-based method (Total) | Tonnes of CO2e | 163869 | 212 | |||||||
Indirect carbon emissions (Scope 2) - location-based method (U.S.A. Portfolio) | Tonnes of CO2e | 4924 | 212 | |||||||
Indirect carbon emissions (Scope 2) - market-based method (Chinese Mainland Portfolio) | Tonnes of CO2e | 14661 | 212 | |||||||
Indirect carbon emissions (Scope 2) - market-based method (Hong Kong Portfolio) | Tonnes of CO2e | 112364 | 212 | |||||||
Indirect carbon emissions (Scope 2) - market-based method (Hotels) | Tonnes of CO2e | 27735 | 212 | |||||||
Indirect carbon emissions (Scope 2) - market-based method (Total) | Tonnes of CO2e | 159118 | 212 | |||||||
Indirect carbon emissions (Scope 2) - market-based method (U.S.A. Portfolio) | Tonnes of CO2e | 4924 | 212 | |||||||
Reduction of carbon intensity (Chinese mainland portfolio) | tonnes of CO2e/m² | 42.2% | 126 | |||||||
Reduction of carbon intensity (Hong Kong portfolio) | tonnes of CO2e/m² | 44.1% | 126 | |||||||
Total carbon emissions (Scopes 1 & 2) - location-based method (Chinese Mainland Portfolio) | Tonnes of CO2e | 20647 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - location-based method (Hong Kong Portfolio) | Tonnes of CO2e | 115040 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - location-based method (Hotels) | Tonnes of CO2e | 33352 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - location-based method (Total) | Tonnes of CO2e | 174996 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - location-based method (U.S.A. Portfolio) | Tonnes of CO2e | 4957 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method (Chinese Mainland Portfolio) | Tonnes of CO2e | 19526 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method (Hong Kong Portfolio) | Tonnes of CO2e | 114994 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method (Hotels) | Tonnes of CO2e | 31334 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method (Total) | Tonnes of CO2e | 171811 | 212 | |||||||
Total carbon emissions (Scopes 1 & 2) - market-based method (U.S.A. Portfolio) | Tonnes of CO2e | 4957 | 212 | |||||||
Upstream transportation and distribution - 2018 | Tonnes of CO2 | 6161 | 214 | |||||||
Upstream transportation and distribution - 2019 | Tonnes of CO2 | 5953 | 214 | |||||||
Upstream transportation and distribution - 2020 | Tonnes of CO2 | 5571 | 214 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Capital goods - 2018 | Tonnes of CO2 | 174214 | 214 | ||
Capital goods - 2019 | To be reported upon the completion of Two Taikoo Place in 2022. | 214 | |||
Waste disposal (Hazardous) - Oils and lubricants (Hong Kong Portfolio) | Litres | 160 | 212 | ||
Waste generated in operations - 2018 | Tonnes of CO2 | 30748 | 214 | ||
Waste generated in operations - 2019 | Tonnes of CO2 | 36969 | 214 | ||
Waste generated in operations - 2020 | Tonnes of CO2 | 38698 | 214 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|
Concrete used by projects under development | m³ | 49760 | 138 | ||
Resource Recycling and Waste Diversion - Chinese Mainland (projects under development): 50% of total waste | % | 50 | 196 | ||
Resource Recycling and Waste Diversion - Chinese Mainland (projects under development): 60% of total waste | % | 60 | 196 | ||
Resource Recycling and Waste Diversion - Chinese Mainland Portfolio: 45% of commercial waste | % | 45 | 196 | ||
Resource Recycling and Waste Diversion - Chinese Mainland Portfolio: 50% of commercial waste | % | 50 | 196 | ||
Resource Recycling and Waste Diversion - Hong Kong (projects under development): 70% of construction waste | % | 70 | 196 | ||
Resource Recycling and Waste Diversion - Hong Kong (projects under development): 75% of construction waste | % | 75 | 196 | ||
Resource Recycling and Waste Diversion - Hong Kong (projects under development): 85% of demolition waste | % | 85 | 196 | ||
Resource Recycling and Waste Diversion - Hong Kong (projects under development): 90% of demolition waste | % | 90 | 196 | ||
Resource Recycling and Waste Diversion - Hong Kong Portfolio: 30% of commercial waste | % | 30 | 196 | ||
Resource Recycling and Waste Diversion - Hong Kong Portfolio: 50% of commercial waste | % | 50 | 196 | ||
Waste disposal (Non-hazardous) - Commercial waste (Chinese Mainland Portfolio) | Tonnes | 14006 | 212 | ||
Waste disposal (Non-hazardous) - Commercial waste (Hong Kong Portfolio) | Tonnes | 11914 | 212 | ||
Waste disposal (Non-hazardous) - Commercial waste (Total) | Tonnes | 24530 | 212 | ||
Waste disposal (Non-hazardous) - Commercial waste (U.S.A. Portfolio) | Tonnes | 798 | 212 | ||
Waste disposal (Non-hazardous) - Construction and demolition waste (Chinese Mainland Portfolio) | Tonnes | 6210 | 212 | ||
Waste disposal (Non-hazardous) - Construction and demolition waste (Hong Kong Portfolio) | Tonnes | 1890 | 212 | ||
Waste disposal (Non-hazardous) - Construction and demolition waste (Total) | Tonnes | 8100 | 212 | ||
Waste disposal (Non-hazardous) - Garden waste (Hong Kong Portfolio) | Tonnes | 211 | 212 | ||
Waste disposal (Non-hazardous) - Garden waste (Total) | Tonnes | 211 | 212 | ||
Waste disposal (Non-hazardous) - Grease trap waste (Hong Kong Portfolio) | Tonnes | 5766 | 212 | ||
Waste disposal (Non-hazardous) - Grease trap waste (Hotels) | Tonnes | 181 | 212 | ||
Waste disposal (Non-hazardous) - Grease trap waste (Total) | Tonnes | 5947 | 212 | ||
Waste recycling (Non-hazardous) - Construction and demolition waste (Hong Kong Portfolio) | Tonnes | 44225 | 212 | ||
Waste recycling (Non-hazardous) - Construction and demolition waste (Total) | Tonnes | 44225 | 212 | ||
Waste recycling (Non-hazardous) - Food waste (Hong Kong Portfolio) | Tonnes | 498 | 212 | ||
Waste recycling (Non-hazardous) - Food waste (Total) | Tonnes | 7489 | 212 | ||
Waste recycling (Non-hazardous) - Glass (Hong Kong Portfolio) | Tonnes | 498 | 212 | ||
Waste recycling (Non-hazardous) - Glass (Total) | Tonnes | 789 | 212 | ||
Waste recycling (Non-hazardous) - Grease trap waste (Hong Kong Portfolio) | Tonnes | 133 | 212 | ||
Waste recycling (Non-hazardous) - Grease trap waste (Total) | Tonnes | 133 | 212 | ||
Waste recycling (Non-hazardous) - Metal (Hong Kong Portfolio) | Tonnes | 487 | 212 | ||
Waste recycling (Non-hazardous) - Metal (Total) | Tonnes | 1413 | 212 | ||
Waste recycling (Non-hazardous) - Mixed recyclables (Hotels) | Tonnes | 165 | 212 | ||
Waste recycling (Non-hazardous) - Mixed recyclables (Total) | Tonnes | 216 | 212 | ||
Waste recycling (Non-hazardous) - Paper (Hong Kong Portfolio) | Tonnes | 2487 | 212 | ||
Waste recycling (Non-hazardous) - Paper (Total) | Tonnes | 4131 | 212 | ||
Waste recycling (Non-hazardous) - Plastics (Hong Kong Portfolio) | Tonnes | 208 | 212 | ||
Waste recycling (Non-hazardous) - Plastics (Total) | Tonnes | 521 | 212 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | 2020 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Carbon intensity reduction, Chinese Mainland Portfolio | 21% | 13 | ||||
Carbon intensity reduction, Hong Kong Portfolio | 27% | 13 | ||||
Reduction in Scope 1 and 2 GHG emissions per sqm compared to 2018 baseline | % | 35 | 52 | 168 | ||
Reduction in Scope 3 GHG emissions from downstream leased assets per sqm compared to 2018 baseline | % | 28 | 168 | |||
Scope 1 and 2 GHG Emissions Intensity reduction (progress) | % | -4 | -19 | 140 | ||
Scope 1 and 2 GHG Emissions Intensity reduction target | % per sqm from 2018 baseline | -35 | -52 | 140 | ||
Scope 3 GHG Emissions Intensity (Capital Goods) reduction target | % per sqm from 2016-2018 baseline | -25 | 140 | |||
Scope 3 GHG Emissions Intensity (Downstream Leased Assets) reduction target | % per sqm from 2018 baseline | -28 | 140 | |||
Scope 3 GHG emissions reduction target from capital goods per sqm (compared to 2016-2018 baseline) | % | -25 | 169 | |||
Scope 3 emissions reduction for downstream leased assets | % | 27.8 | 141 |
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 | 2020 | Report Pages |
---|---|---|---|
Commercial waste diversion rate, Chinese Mainland Portfolio | 34.6% | 13 | |
Commercial waste diversion rate, Hong Kong Portfolio | 25% | 13 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2020P | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
Biodiesel (Hong Kong Portfolio) | Litres | 33607 | 212 | ||||||
Building energy intensity by gross floor area (Chinese mainland Portfolio) | kWh/m²/year | 101 | 101 | 96 | 175 | ||||
Building energy intensity by gross floor area (HK Portfolio) | kWh/m²/year | 142 | 139 | 127 | 175 | ||||
Building energy intensity by gross floor area (U.S.A. Portfolio) | kWh/m²/year | 221 | 237 | 204 | 175 | ||||
Diesel consumption by projects under development | litres | 747526 | 138 | ||||||
Direct energy consumption (Chinese Mainland Portfolio) | GJ | 9459 | 212 | ||||||
Direct energy consumption (Hong Kong Portfolio) | GJ | 2654 | 212 | ||||||
Direct energy consumption (Hotels) | GJ | 7075 | 212 | ||||||
Direct energy consumption (Total) | GJ | 16549 | 212 | ||||||
Direct energy consumption (U.S.A. Portfolio) | GJ | 464 | 212 | ||||||
Direct energy intensity (Chinese Mainland Portfolio) | GJ/m2/year | 0.128 | 0.117 | 213 | |||||
Direct energy intensity (Hong Kong Portfolio) | GJ/m2/year | 0.002 | 0.002 | 0.002 | 0.002 | 213 | |||
Direct energy intensity (Hotels) | GJ/m2/year | 0.131 | 0.074 | 0.08 | 0.13 | 213 | |||
Direct energy intensity (U.S.A. Portfolio) | GJ/m2/year | 0.01 | 0.008 | 0.008 | 213 | ||||
Electricity consumption by projects under development | MWh | 1653 | 138 | ||||||
Energy consumption, Chinese Mainland Portfolio | reduction kWh/sq m | 4.20% | 13 | ||||||
Energy consumption, Hong Kong Portfolio | reduction kWh/sq m | 6.26% | 13 | ||||||
Energy use intensity, Chinese mainland portfolio | kWh/m²/year | 96 | 136 | ||||||
Energy use intensity, Hong Kong portfolio | kWh/m²/year | 131 | 136 | ||||||
Indirect energy intensity (Chinese Mainland Portfolio) | kWh/m2/year | 102 | 94 | 213 | |||||
Indirect energy intensity (Hong Kong Portfolio) | kWh/m2/year | 146 | 142 | 139 | 127 | 213 | |||
Indirect energy intensity (Hotels) | kWh/m2/year | 60 | 69 | 47 | 46 | 69 | 213 | ||
Indirect energy intensity (U.S.A. Portfolio) | kWh/m2/year | 237 | 204 | 213 | |||||
Natural gas (Chinese Mainland Portfolio) | MJ | 60049 | 212 | ||||||
Natural gas (Hotels) | MJ | 158143 | 212 | ||||||
Natural gas (Total) | MJ | 218192 | 212 | ||||||
Non-renewable electricity purchased (Chinese Mainland Portfolio) | MWh | 118437 | 212 | ||||||
Non-renewable electricity purchased (Hong Kong Portfolio) | MWh | 142487 | 212 | ||||||
Non-renewable electricity purchased (Hotels) | MWh | 43196 | 212 | ||||||
Non-renewable electricity purchased (Total) | MWh | 218048 | 212 | ||||||
Non-renewable electricity purchased (U.S.A. Portfolio) | MWh | 11928 | 212 | ||||||
Petrol (Chinese Mainland Portfolio) | Litres | 5561 | 212 | ||||||
Petrol (Hong Kong Portfolio) | Litres | 8355 | 212 | ||||||
Petrol (Hotels) | Litres | 21799 | 212 | ||||||
Petrol (Total) | Litres | 38597 | 212 | ||||||
Petrol (U.S.A. Portfolio) | Litres | 1049 | 212 | ||||||
Proportion of electricity consumption from renewable sources | % | 10.6% | 13.2% | 14.3% | 175 | ||||
Reduction of energy consumption, Chinese mainland portfolio | 20% | 127 | |||||||
Reduction of energy consumption, Chinese mainland portfolio (absolute) | million kWh/year | 28.1 | 127 | ||||||
Reduction of energy consumption, Hong Kong portfolio | 31.3% | 127 | |||||||
Reduction of energy consumption, Hong Kong portfolio (absolute) | million kWh/year | 77.8 | 127 | ||||||
Reduction of natural gas consumption, Chinese mainland portfolio | 46.5% | 127 | |||||||
Reduction of natural gas consumption, Chinese mainland portfolio (absolute) | million m³/year | 1.5 | 127 | ||||||
Renewable and Clean Energy - Generate 4% of landlord’s building energy from renewable or clean energy sources for selected new and existing office projects | % | 4 | 196 | ||||||
Renewable electricity purchased (Chinese Mainland Portfolio) | MWh | 11 | 212 | ||||||
Renewable electricity purchased (Total) | MWh | 11 | 212 | ||||||
Sino-Ocean Taikoo Li Chengdu annual electricity consumption net-zero carbon (landlord and tenant operations) | carbon | net-zero | 141 | ||||||
Sino-Ocean Taikoo Li Chengdu development powered by renewable electricity (net-zero carbon in annual electricity consumption) | % | 100 | 168 | ||||||
Tenant operations in Sino-Ocean Taikoo Li Chengdu powered by renewable electricity | renewable electricity | 100% | 141 | ||||||
Total energy consumption (Chinese Mainland Portfolio) | GJ | 282920 | 212 | ||||||
Total energy consumption (Hong Kong Portfolio) | GJ | 517232 | 212 | ||||||
Total energy consumption (Hotels) | GJ | 225877 | 212 | ||||||
Total energy consumption (Total) | GJ | 1034434 | 212 | ||||||
Total energy consumption (U.S.A. Portfolio) | GJ | 6405 | 212 | ||||||
Town gas (Hong Kong Portfolio) | MJ | 143195 | 212 | ||||||
Town gas (Hotels) | MJ | 341957 | 212 | ||||||
Town gas (Total) | MJ | 485152 | 212 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2020P | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Wastewater and discharge - Waste potable water used for flushing (Chinese Mainland Portfolio) | 000 m3 | 46174 | 212 | |||||||
Wastewater and discharge - Waste potable water used for flushing (Hong Kong Portfolio) | 000 m3 | 6527 | 212 | |||||||
Wastewater and discharge - Waste potable water used for flushing (Total) | 000 m3 | 52701 | 212 | |||||||
Wastewater and discharge - Wastewater discharged (Chinese Mainland Portfolio) | 000 m3 | 39688 | 212 | |||||||
Wastewater and discharge - Wastewater discharged (Hong Kong Portfolio) | 000 m3 | 38647 | 212 | |||||||
Wastewater and discharge - Wastewater discharged (Hotels) | 000 m3 | 35448 | 212 | |||||||
Wastewater and discharge - Wastewater discharged (Total) | 000 m3 | 39373 | 212 | |||||||
Wastewater and discharge - Wastewater discharged (U.S.A. Portfolio) | 000 m3 | 706 | 212 | |||||||
Water Reduction - Chinese Mainland Portfolio: 20% reduction in water intensity (m³/m²/yr) | % | 20 | 196 | |||||||
Water Reduction - Chinese Mainland Portfolio: 30% reduction in water intensity (m³/m²/yr) | % | 30 | 196 | |||||||
Water Reduction - Hong Kong Portfolio: 10% reduction in water intensity (m³/m²/yr) | % | 10 | 196 | |||||||
Water Reduction - Hong Kong Portfolio: 20% reduction in water intensity (m³/m²/yr) | % | 20 | 196 | |||||||
Water Reduction - Hotels: 8% reduction in water intensity (m³/guest night) | % | 8 | 196 | |||||||
Water consumption - Water consumption municipal (Chinese Mainland Portfolio) | 000 m3 | 885 | 212 | |||||||
Water consumption - Water consumption municipal (Hong Kong Portfolio) | 000 m3 | 354 | 212 | |||||||
Water consumption - Water consumption municipal (Hotels) | 000 m3 | 354 | 212 | |||||||
Water consumption - Water consumption municipal (Total) | 000 m3 | 1757 | 212 | |||||||
Water consumption - Water consumption municipal (U.S.A. Portfolio) | 000 m3 | 64 | 212 | |||||||
Water consumption by projects under development | m³ | 55548 | 138 | |||||||
Water intensity (Chinese Mainland Portfolio) | m3/m2/year | 1.046 | 0.912 | 213 | ||||||
Water intensity (Hong Kong Portfolio) | m3/m2/year | 0.314 | 0.285 | 0.47 | 0.402 | 213 | ||||
Water intensity (Hotels) | m3/m2/year | 0.819 | 0.668 | 0.549 | 0.423 | 0.554 | 213 | |||
Water intensity (U.S.A. Portfolio) | m3/m2/year | 1.498 | 1.571 | 1.095 | 213 | |||||
Water intensity progress, Chinese Mainland Portfolio | -18.5% | 138 | ||||||||
Water intensity progress, Hong Kong Portfolio | 33.1% | 138 | ||||||||
Water intensity progress, Hotels | -32.4% | 138 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | 2020 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|
Annual energy consumption reduction target, Chinese mainland portfolio | million kWh/year | 23 | 136 | ||||
Annual energy consumption reduction target, Hong Kong portfolio | million kWh/year | 64 | 136 | ||||
Annual energy consumption reduction, Chinese mainland portfolio | million kWh/year | 28.1 | 136 | ||||
Annual energy consumption reduction, Hong Kong portfolio | million kWh/year | 77.8 | 136 | ||||
Energy Reduction - Chinese Mainland Portfolio: Reduce electricity use intensity by 13.5% | % | 13.5 | 196 | ||||
Energy Reduction - Chinese Mainland Portfolio: Reduce electricity use intensity by 38.8% | % | 38.8 | 196 | ||||
Energy Reduction - Hong Kong Portfolio: Reduce electricity use intensity by 23.6% | % | 23.6 | 196 | ||||
Energy Reduction - Hong Kong Portfolio: Reduce electricity use intensity by 42.5% | % | 42.5 | 196 | ||||
Energy consumption reduction percentage, Chinese mainland portfolio | 23.4% | 136 | |||||
Energy consumption reduction percentage, Hong Kong portfolio | 31.3% | 136 | |||||
Energy consumption reduction target, Chinese mainland portfolio | 20% | 136 | |||||
Energy consumption reduction target, Hong Kong portfolio | 26% | 136 | |||||
Energy consumption reduction, Chinese Mainland Portfolio | 23.44% | 13 | |||||
Energy consumption reduction, Hong Kong Portfolio | 31.31% | 13 | |||||
Expenditures for green building development supported by green bond proceeds | HK$ | 2987 million | 733 million | 669 million | 175 | ||
External Financing - Achieve a minimum of 50% of bond and loan facilities from green finance | % | 50 | 196 | ||||
External Financing - Achieve a minimum of 80% of bond and loan facilities from green finance | % | 80 | 196 | ||||
Potential annual energy savings from free energy audits for tenants | kWh | 9000000 | 13 | ||||
Water intensity target, Chinese Mainland Portfolio | 20% | 138 | |||||
Water intensity target, Hong Kong Portfolio | 20% | 138 | |||||
Water intensity target, Hotels | 20% | 138 |
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 | 2020 | Report Pages |
---|---|---|---|
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 | In 2020, we did not encounter any problems in sourcing water for daily operations. | 235 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Materials used - Paper products (Chinese Mainland Portfolio) | Kilograms | 19746 | 212 |
Materials used - Paper products (Hong Kong Portfolio) | Kilograms | 2470 | 212 |
Materials used - Paper products (Hotels) | Kilograms | 10862 | 212 |
Materials used - Paper products (Total) | Kilograms | 35478 | 212 |
Reinforcement bar used by projects under development | tonnes | 13625 | 138 |
Timber used by projects under development | m³ | 234 | 138 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2018 | 2019 | 2020 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|
Biodiversity - Conduct biodiversity surveys in 50% of new development projects | % | 50 | 196 | ||||
Environmental Building Assessment Schemes - 100% of wholly-owned new and existing developments achieve the highest environmental building assessment scheme rating | % | 100 | 196 | ||||
Environmental Building Assessment Schemes - 100% of wholly-owned new development projects to achieve the highest environmental building assessment scheme rating | % | 100 | 196 | ||||
Environmental Building Assessment Schemes - 90% of wholly-owned existing developments to achieve the highest environmental building assessment scheme rating | % | 90 | 196 | ||||
Existing buildings with green building ratings | 97% | 13 | |||||
Existing buildings with highest green building ratings | 85% | 13 | |||||
Green bonds issued, total value | HK$ million | 1934 | 13 | ||||
Percentage of 2020 gross rental income from certified green buildings | % | 98 | 168 | ||||
Percentage of existing buildings certified green buildings | % | 97 | 168 | ||||
Percentage of existing buildings which are certified green buildings | % | 92% | 97% | 97% | 175 | ||
Percentage of new projects under development achieving highest green building rating | % | 100 | 168 | ||||
Percentage of projects under development which are certified green buildings | % | 100% | 100% | 100% | 175 | ||
Projects under development achieving highest environmental building assessment scheme rating | 100% | 13 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Board diversity - Female | 1 | 4 | 4 | 4 | 4 | 219 | ||
Board diversity - Female (%) | % | 8.3 | 33.3 | 36.4 | 33.3 | 33.3 | 219 | |
Board diversity - Male | 11 | 8 | 7 | 8 | 8 | 219 | ||
Board diversity - Male (%) | % | 91.7 | 66.7 | 63.6 | 66.7 | 66.7 | 219 | |
Board diversity by age group - 30 to 50 years old | 2 | 4 | 4 | 3 | 3 | 219 | ||
Board diversity by age group - 30 to 50 years old (%) | % | 16.7 | 33.3 | 36.4 | 25 | 25 | 219 | |
Board diversity by age group - Over 50 years old | 10 | 8 | 7 | 9 | 9 | 219 | ||
Board diversity by age group - Over 50 years old (%) | % | 83.3 | 66.7 | 63.6 | 75 | 75 | 219 | |
Board diversity by local/non-local - Local | 7 | 8 | 6 | 8 | 8 | 219 | ||
Board diversity by local/non-local - Local (%) | % | 58.3 | 66.7 | 54.5 | 66.7 | 66.7 | 219 | |
Board diversity by local/non-local - Non-local | 5 | 4 | 5 | 4 | 4 | 219 | ||
Board diversity by local/non-local - Non-local (%) | % | 41.7 | 33.3 | 45.5 | 33.3 | 33.3 | 219 | |
Composition of the Board of Directors - Total number of Directors | 12 | 12 | 11 | 12 | 12 | 219 | ||
Employer Branding - Improve employee Net Promoter Score | % | 10 | 196 | |||||
Engagement - Achieve an employee engagement index rating | % | 90 | 196 | |||||
Females in junior management positions (% of total junior management workforce) - Chinese Mainland Portfolio | 64.7% | 217 | ||||||
Females in junior management positions (% of total junior management workforce) - Hong Kong Portfolio | 51.4% | 217 | ||||||
Females in junior management positions (% of total junior management workforce) - Hotels | 45.5% | 217 | ||||||
Females in junior management positions (% of total junior management workforce) - Total | 52.2% | 217 | ||||||
Females in junior management positions (% of total junior management workforce) - U.S.A. Portfolio | 100% | 217 | ||||||
Females in management positions (% of total management workforce) - Chinese Mainland Portfolio | 52.0% | 217 | ||||||
Females in management positions (% of total management workforce) - Hong Kong Portfolio | 52.8% | 217 | ||||||
Females in management positions (% of total management workforce) - Hotels | 48.1% | 217 | ||||||
Females in management positions (% of total management workforce) - Total | 50.8% | 217 | ||||||
Females in management positions (% of total management workforce) - U.S.A. Portfolio | 31.6% | 217 | ||||||
Females in top management positions (% of Executive Committee members) - Hong Kong Portfolio | 38.5% | 217 | ||||||
Fixed-term/Temporary employees (Total) | 6.5% | 410 | 216 | |||||
Full-time employees (Total) | 91.8% | 5811 | 216 | |||||
Gender Pay Ratio (Female to Male) - Total workforce - Chinese Mainland Portfolio | 1:1.04 | 217 | ||||||
Gender Pay Ratio (Female to Male) - Total workforce - Hong Kong Portfolio | 1:1.05 | 217 | ||||||
Gender Pay Ratio (Female to Male) - Total workforce - Hotels | 1:1.04 | 217 | ||||||
Gender Pay Ratio (Female to Male) - Total workforce - Total | 1:1.05 | 217 | ||||||
Gender Pay Ratio (Female to Male) - Total workforce - U.S.A. Portfolio | 1:1.09 | 217 | ||||||
Gender pay ratio (female to male) | 1.05 | 13 | ||||||
Most Attractive Employer in Hong Kong by Randstad Employer Brand Research | Named | 13 | ||||||
New hires (Total number) (Total) | 1077 | 216 | ||||||
New hires - 30 to 50 years old (Total) | 53.2% | 573 | 216 | |||||
New hires - Female (Total) | 34.4% | 370 | 216 | |||||
New hires - Male (Total) | 65.6% | 707 | 216 | |||||
New hires - Management (Total) | 7.6% | 82 | 216 | |||||
New hires - Non-management (Total) | 92.4% | 995 | 216 | |||||
New hires - Over 50 years old (Total) | 2.2% | 24 | 216 | |||||
New hires - Under 30 years old (Total) | 44.6% | 480 | 216 | |||||
Part-time employees (Total) | 1.6% | 103 | 216 | |||||
Percentage of open positions filled by internal candidates (Total) | 29.7% | 216 | ||||||
Permanent employees (Total) | 85.3% | 5400 | 216 | |||||
Policy, Strategy and Governance - Maintain gender pay ratio at 1:1 | 1:1 | 196 | ||||||
Public disclosure of data on gender, age, job level, pay, and ethnicity | Disclosed | 13 | ||||||
Return to work rate after parental leave (by gender) - Female - Chinese Mainland Portfolio | 100% | 217 | ||||||
Return to work rate after parental leave (by gender) - Female - Hong Kong Portfolio | 100% | 217 | ||||||
Return to work rate after parental leave (by gender) - Female - Hotels | 100% | 217 | ||||||
Return to work rate after parental leave (by gender) - Female - Total | 99.7% | 217 | ||||||
Return to work rate after parental leave (by gender) - Female - U.S.A. Portfolio | 100% | 217 | ||||||
Return to work rate after parental leave (by gender) - Male - Chinese Mainland Portfolio | 95.8% | 217 | ||||||
Return to work rate after parental leave (by gender) - Male - Hong Kong Portfolio | 100% | 217 | ||||||
Return to work rate after parental leave (by gender) - Male - Hotels | 100% | 217 | ||||||
Return to work rate after parental leave (by gender) - Male - Total | 98.5% | 217 | ||||||
Return to work rate after parental leave (by gender) - Male - U.S.A. Portfolio | 100% | 217 | ||||||
Total new hires, Chinese mainland | persons | 556 | 82 | |||||
Total new hires, Chinese mainland (percentage) | percent | 51.6% | 82 | |||||
Total new hires, Hong Kong | persons | 415 | 82 | |||||
Total new hires, Hong Kong (percentage) | percent | 38.5% | 82 | |||||
Total new hires, Miami, U.S.A. | persons | 106 | 82 | |||||
Total new hires, Miami, U.S.A. (percentage) | percent | 9.9% | 82 | |||||
Total new hires, all regions | persons | 1077 | 82 | |||||
Total number of employees entitled to parental leave - Chinese Mainland Portfolio | 1671 | 217 | ||||||
Total number of employees entitled to parental leave - Hong Kong Portfolio | 2343 | 217 | ||||||
Total number of employees entitled to parental leave - Hotels | 1938 | 217 | ||||||
Total number of employees entitled to parental leave - Total | 6027 | 217 | ||||||
Total number of employees entitled to parental leave - U.S.A. Portfolio | 75 | 217 | ||||||
Total number of employees who took parental leave - Chinese Mainland Portfolio | 24 | 217 | ||||||
Total number of employees who took parental leave - Hong Kong Portfolio | 16 | 217 | ||||||
Total number of employees who took parental leave - Hotels | 26 | 217 | ||||||
Total number of employees who took parental leave - Total | 68 | 217 | ||||||
Total number of employees who took parental leave - U.S.A. Portfolio | 2 | 217 | ||||||
Total workforce (Chinese Mainland Portfolio) | 1671 | 216 | ||||||
Total workforce (Hong Kong Portfolio) | 2420 | 216 | ||||||
Total workforce (Hotels) | 2168 | 216 | ||||||
Total workforce (Total) | 6334 | 216 | ||||||
Total workforce (U.S.A. Portfolio) | 75 | 216 | ||||||
Total workforce - 30 to 50 years old (Total) | 55.5% | 3515 | 216 | |||||
Total workforce - Female (Total) | 41.0% | 2599 | 216 | |||||
Total workforce - Male (Total) | 59.0% | 3735 | 216 | |||||
Total workforce - Over 50 years old (Total) | 23.1% | 1462 | 216 | |||||
Total workforce - Under 30 years old (Total) | 21.4% | 1357 | 216 | |||||
Women in management positions | 51% | 13 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2020 | 2025 | Report Pages |
---|---|---|---|---|
Engagement - Improve turnover rate | % | 5.5 | 196 | |
New hires (Total rate) (Total) | 17.0% | 216 | ||
Voluntary turnover (Total number) (Total) | 809 | 216 | ||
Voluntary turnover (Total rate) (Total) | 13.7% | 216 | ||
Voluntary turnover - 30 to 50 years old (Total) | 51.3% | 415 | 216 | |
Voluntary turnover - Female (Total) | 45.7% | 370 | 216 | |
Voluntary turnover - Male (Total) | 54.3% | 439 | 216 | |
Voluntary turnover - Management (Total) | 18.2% | 147 | 216 | |
Voluntary turnover - Non-management (Total) | 81.8% | 662 | 216 | |
Voluntary turnover - Over 50 years old (Total) | 21.1% | 171 | 216 | |
Voluntary turnover - Under 30 years old (Total) | 27.6% | 223 | 216 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
LTIR (Lost Time Injury Rate) | 1.47 | 1.63 | 1.25 | 89 | |
LTIR (Lost Time Injury Rate) - Chinese mainland portfolio | 0.62 | 89 | |||
LTIR (Lost Time Injury Rate) - Hong Kong portfolio | 1 | 89 | |||
LTIR (Lost Time Injury Rate) - Hotel portfolio | 2.07 | 89 | |||
Number of reportable injuries (tick leave > 3 days) - Total | 27 | 217 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Absentee rate - Total | 1.47% | 217 | ||||
LDR (Lost Day Rate) | lost scheduled working days per 100 employees per year | 54.47 | 43.28 | 48.8 | 89 | |
LDR (Lost Day Rate) - Chinese mainland portfolio | lost scheduled working days per 100 employees per year | 25.05 | 89 | |||
LDR (Lost Day Rate) - Hong Kong portfolio | lost scheduled working days per 100 employees per year | 55.63 | 89 | |||
LDR (Lost Day Rate) - Hotel portfolio | lost scheduled working days per 100 employees per year | 59.8 | 89 | |||
Lost Time Injury Rate (LTIR) | 1.25 | 13, 77 | ||||
Lost days due to injury - Total | 1560 | 217 | ||||
Lost time injury rate (per 1000000 hours worked) - Total | 0.87 | 217 | ||||
Number of lost time injuries (tick leave > 0 days) - Total | 45 | 217 | ||||
Safety - Maintain a TRIR at or below 1.2 for non-hotels operations and at or below 2.0 for Hotels operations | 1.2 | 196 | ||||
Safety - Maintain a TRIR at or below 2.0 for Hotels operations | 2 | 196 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Increase in total OHS training hours compared to previous year | 21% | 77 | |
Percentage of the organization operating with certified occupational health and safety management system (ISO 45001 or OHSAS 18001) - Total | 100% | 217 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Increase in number of nominated programmes from employees | percent | 20% | 80 |
OHS e-learning platform completion rate for senior management | 100% | 91 | |
Total number and percentage of employees received training (Chinese Mainland Portfolio) | 96.9% | 1547 | 218 |
Total number and percentage of employees received training (Hong Kong Portfolio) | 92.1% | 2229 | 218 |
Total number and percentage of employees received training (Hotels) | 96.0% | 2124 | 218 |
Total number and percentage of employees received training (Total) | 95.9% | 4375 | 218 |
Total number and percentage of employees received training (U.S.A. Portfolio) | 100% | 75 | 218 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | 2020 | 2025 | Report Pages |
---|---|---|---|---|---|
Average hours of training, female | hours | 22.8 | 85 | ||
Average hours of training, male | hours | 18.1 | 85 | ||
Average hours of training, management | hours | 20.5 | 85 | ||
Average hours of training, non-management | hours | 19.8 | 85 | ||
Average training hours by employee (Total) | 20 | 218 | |||
Average training hours on health and safety per employee (Chinese Mainland Portfolio) | 8.3 | 218 | |||
Average training hours on health and safety per employee (Hong Kong Portfolio) | 2.4 | 218 | |||
Average training hours on health and safety per employee (Hotels) | 1.9 | 218 | |||
Average training hours on health and safety per employee (Total) | 3.8 | 218 | |||
Average training hours on health and safety per employee (U.S.A. Portfolio) | 1 | 218 | |||
Average training hours per employee | hours | 20 | 76, 85 | ||
Completion rate for compulsory OHS training for senior management via e-learning platform | 100% | 77 | |||
Increase in training hours compared to 2016 baseline | 112% | 76 | |||
Increase in training hours per employee per year | 25% | 76 | |||
Learning and Development - Increase in training hours per employee per year | % | 5 | 196 | ||
OHS training hours delivered | hours | 28600 | 77 | ||
Total occupational health and safety (OHS) training hours delivered | hours | 23870 | 77, 91 | ||
Total training hours by type of training - Mandatory (Chinese Mainland Portfolio) | 68.9% | 16332.4 | 218 | ||
Total training hours by type of training - Mandatory (Hong Kong Portfolio) | 31.0% | 7533.5 | 218 | ||
Total training hours by type of training - Mandatory (Hotels) | 15.9% | 12364.4 | 218 | ||
Total training hours by type of training - Mandatory (Total) | 22.2% | 36933.2 | 218 | ||
Total training hours by type of training - Mandatory (U.S.A. Portfolio) | 85.5% | 770 | 218 | ||
Total training hours by type of training - Non-mandatory (Chinese Mainland Portfolio) | 31.1% | 7371.2 | 218 | ||
Total training hours by type of training - Non-mandatory (Hong Kong Portfolio) | 69.0% | 16795.6 | 218 | ||
Total training hours by type of training - Non-mandatory (Hotels) | 84.1% | 65425.9 | 218 | ||
Total training hours by type of training - Non-mandatory (Total) | 77.8% | 129704.7 | 218 | ||
Total training hours by type of training - Non-mandatory (U.S.A. Portfolio) | 14.5% | 112 | 218 | ||
Total training hours delivered | hours | 169000 | 126000 | 76 | |
Total training hours for employees (Chinese Mainland Portfolio) | 1190.3 | 218 | |||
Total training hours for employees (Hong Kong Portfolio) | 958.8 | 218 | |||
Total training hours for employees (Hotels) | 2973.8 | 218 | |||
Total training hours for employees (Total) | 43095 | 218 | |||
Total training hours for employees (U.S.A. Portfolio) | 750 | 218 | |||
Total training hours for new hires (Chinese Mainland Portfolio) | 641.2 | 218 | |||
Total training hours for new hires (Hong Kong Portfolio) | 118 | 218 | |||
Total training hours for new hires (Hotels) | 1276.3 | 218 | |||
Total training hours for new hires (Total) | 740.2 | 218 | |||
Total training hours for new hires (U.S.A. Portfolio) | 80 | 218 | |||
Total training hours on health and safety (Chinese Mainland Portfolio) | 13376.6 | 218 | |||
Total training hours on health and safety (Hong Kong Portfolio) | 5798.8 | 218 | |||
Total training hours on health and safety (Hotels) | 4201.8 | 218 | |||
Total training hours on health and safety (Total) | 23371.1 | 218 | |||
Total training hours on health and safety (U.S.A. Portfolio) | 75 | 218 | |||
Total training hours on human rights related topics (Chinese Mainland Portfolio) | 3015.6 | 218 | |||
Total training hours on human rights related topics (Hong Kong Portfolio) | 1040 | 218 | |||
Total training hours on human rights related topics (Hotels) | 5022.1 | 218 | |||
Total training hours on human rights related topics (Total) | 11152.7 | 218 | |||
Total training hours on human rights related topics (U.S.A. Portfolio) | 75 | 218 | |||
Total training spend (million HK$) (Chinese Mainland Portfolio) | 1.1 | 218 | |||
Total training spend (million HK$) (Hong Kong Portfolio) | 2.9 | 218 | |||
Total training spend (million HK$) (Hotels) | 1.2 | 218 | |||
Total training spend (million HK$) (Total) | 5.3 | 218 | |||
Total training spend (million HK$) (U.S.A. Portfolio) | 0.1 | 218 | |||
Training hours delivered | hours | 126000 | 13 | ||
Training hours per employee per year | hours/employee/year | 20 | 13 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Proportion of bond and loan facilities in green format arranged by Hong Kong head office | % | 30 | 169 | ||
Purchased goods and services - 2018 | Tonnes of CO2 | 75229 | 214 | ||
Purchased goods and services - 2019 | Tonnes of CO2 | 113849 | 214 | ||
Purchased goods and services - 2020 | Tonnes of CO2 | 90124 | 214 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Indicator | Unit | 2020 | 2025 | Report Pages |
---|---|---|---|---|
Corporate venture capital fund for innovative technology solutions relevant to real estate sector | million US dollars | 50 | 169 | |
Green loan secured, five-year | HK$ billion | 1 | 13 | |
Monitoring (Compliance) - Maintain 100% implementation of the Supplier Code of Conduct in all portfolios | % | 100 | 196 | |
Sustainable Procurement Programme spend | HK$ | 1196000 | 13 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2020 | 2025 | Report Pages |
---|---|---|---|---|
Driving Impact - 25% of products and services purchased for wholly owned new and existing investment portfolios shall be sustainable | % | 25 | 196 | |
Procurement of renewable electricity at Sino-Ocean Taikoo Li Chengdu | 100% | 13 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | 2025 | Report Pages |
---|---|---|---|---|
Tenant Engagement - 60% of new office leases and renewals in wholly owned portfolios sign a Green Performance Pledge | % | 60 | 196 | |
Tenants recognised with Green Kitchen Awards | tenants | 27 | 13 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Directors who completed anti-bribery and anti-corruption training | 100% | 185 | |
Hours of anti-bribery related training conducted for employees | hours | 5300 | 185 |
Percentage of employees received anti-corruption related training (Chinese Mainland Portfolio) | 73.7% | 218 | |
Percentage of employees received anti-corruption related training (Hong Kong Portfolio) | 82.0% | 218 | |
Percentage of employees received anti-corruption related training (Hotels) | 65.8% | 218 | |
Percentage of employees received anti-corruption related training (Total) | 73.4% | 218 | |
Percentage of employees received anti-corruption related training (U.S.A. Portfolio) | 94.1% | 218 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Community Ambassador Programme activities | activities | 43 | 13 |
Long-term sustainable growth in shareholder value | HK$ million | 12679 | 13 |
Number of ideas@work entries approved for implementation | entries | 439 | 23 |
Number of ideas@work entries received | entries | 1000 | 23 |
Sustainability indices: Dow Jones Sustainability Indices | Top 5% globally | 13 | |
Sustainability indices: FTSE4Good | FTSE4Good | 13 | |
Sustainability indices: GRESB Global Sector Leader | Global Sector Leader | 13 | |
Sustainability indices: MSCI ESG | AAA rating | 13 | |
Sustainability indices: S&P Global | S&P Global | 13 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Community Ambassador Programme volunteer service hours | hours | 2000 | 13 | |
Current bond and loan facilities from green financing | 30% | 13 | ||
Increase in volunteer service hours | percent | 20% | 80 | |
Volunteer service hours (total) | hours | 9300 | 80 | |
Volunteer service hours contributed by Community Ambassadors | hours | 7000 | 80 | |
Volunteer service hours contributed by Community Ambassadors in Hong Kong, Chinese mainland, and Miami, U.S.A. | hours | 2000 | 80 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2020 | 2025 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | % of buildings achieving IAQ Excellent Class or standard | 90 | |
SOₓ Emissions | Litres of ultra-low sulphur diesel consumed | 75531 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | Tonnes of CO2e | 3497 | 3430 | 56 | 51 | 1360 |
Indirect Energy Emissions (Scope 2) | Tonnes of CO2e | 56585 | 26210 | 29546 | 35421 | 27735 |
Scope 3 GHG Emissions (Business Travel) | Tonnes of CO2 | 3364 | 3360 | 1982 | ||
Scope 3 GHG Emissions (Downstream Leased Assets) | Tonnes of CO2 e | 168403 | 179515 | 139414 | ||
Scope 3 GHG Emissions (Employee Commuting) | Tonnes of CO2 e | 12750 | 12750 | 12750 | ||
Scope 3 GHG Emissions (End-of-life Treatment of Sold Products) | Tonnes of CO2 e | 41 | 49 | 51 | ||
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | Tonnes of CO2 | 2038 | 1922 | 2063 | ||
Scope 3 GHG Emissions (Upstream Transportation and Distribution) | Tonnes of CO2 | 6161 | 5953 | 5571 | ||
Total GHG Emissions Intensity (By Area) | Tonnes of CO₂e/m²/year | 0.116 | 0.074 | 0.109 | 0.103 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Hazardous Waste (Liquid Waste) | Litres | 160 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2025 | 2030 |
---|---|---|---|---|
Diversion Rate of Non-Hazardous Waste | % | 70 | 50 | |
Glass Waste | Tonnes | 789 | ||
Non-Hazardous Waste (Construction Waste) | Tonnes | 8100 | ||
Non-Hazardous Waste Disposed | Tonnes | 24530 | ||
Non-Hazardous Waste Recycled | Tonnes | 58424 | ||
Paper Waste | Tonnes | 4131 | ||
Plastic Waste | Tonnes | 521 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 | 2020 | 2025 | 2030 |
---|---|---|---|---|---|
Percentage of Reduction in GHG Intensity Compared to Last Year | % | -4 | -19 | ||
Scope 3 Emissions Reduction Percentage Compared to Last Year | % | 27.8 | 28 | ||
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2018 | % | 35 | 52 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2025 |
---|---|---|---|---|---|---|---|
Diesel Fuel Consumption | Litres | 33607 | |||||
Direct Energy Consumption Intensity (By Area per Year) | GJ/m2/year | 0.002 | 0.01 | 0.002 | 0.117 | ||
Energy Consumption Intensity (By Area per Year) | kWh/m²/year | 142 | 237 | 204 | |||
Gasoline Consumption | Litres | 8355 | |||||
Indirect Energy Consumption Intensity (By Area per Year) | kWh/m2/year | 60 | 69 | 47 | 139 | 204 | |
Natural Gas Consumption | MJ | 218192 | |||||
Percentage of Renewable Energy Consumption | % | 10.6 | 13.2 | 14.3 | 4 | ||
Purchased Electricity | MWh | 218048 | |||||
Renewable Energy Consumption | MWh | 11 | |||||
Total Direct Energy Consumption | GJ | 464 | |||||
Total Electricity Consumption Intensity (By Area) | kWh/m²/year | 96 | |||||
Total Energy Consumption | GJ | 1034434 | |||||
Total Indirect Energy Consumption | MWh | 218048 | |||||
Total Purchased Energy | MWh | 218048 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Municipal Water Consumption | 000 m3 | 1757 |
Total Wastewater Discharge | 000 m3 | 39373 |
Total Water Withdrawal | 000 m3 | 1757 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 | 2025 | 2030 |
---|---|---|---|---|
Energy Consumption Reduction Compared to Last Year | million kWh/year | 77.8 | ||
Energy Consumption Reduction Percentage Compared to Last Year | % | 31.3 | ||
Target Electricity Usage Reduction Percentage by 2025 Compared to 2023 | % | 13.5 | ||
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 26 | ||
Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % | 38.8 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2020 |
---|---|---|
Packaging Material Consumption (Paper) | Kilograms | 35478 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|
Number of Employees Aged 30-50 | 2 | 4 | 4 | 3 | 3515 | |
Number of Employees Aged Above 50 | 10 | 8 | 7 | 9 | 1462 | |
Number of Employees Aged Below 30 | 1357 | |||||
Number of Employees in Americas | 75 | |||||
Number of Employees in Hong Kong | 2420 | |||||
Number of Employees in Mainland China | 1671 | |||||
Number of Female Employees | 1 | 4 | 4 | 4 | 2599 | |
Number of Full-time Employees | 5811 | |||||
Number of Male Employees | 11 | 8 | 7 | 8 | 3735 | |
Number of New Employees | 1077 | |||||
Number of New Employees (Above 50) | 24 | |||||
Number of New Employees (Aged 30-50) | 573 | |||||
Number of New Employees (Aged Below 30) | 480 | |||||
Number of New Employees (Female) | 370 | |||||
Number of New Employees (Hong Kong) | 415 | |||||
Number of New Employees (Mainland China) | 556 | |||||
Number of New Employees (Male) | 707 | |||||
Number of New Employees (Overseas) | 106 | |||||
Number of Part-time Employees | 103 | |||||
Number of Temporary Workers | 410 | |||||
Number of Total Employees | 12 | 12 | 11 | 12 | 6334 | |
Percentage of Employees Aged 30-50 | % | 16.7 | 33.3 | 36.4 | 25 | 55.5 |
Percentage of Employees Aged Above 50 | % | 83.3 | 66.7 | 63.6 | 75 | 23.1 |
Percentage of Employees Aged Below 30 | % | 21.4 | ||||
Percentage of Female Employees | % | 8.3 | 33.3 | 36.4 | 33.3 | 41 |
Percentage of Full-time Employees | % | 91.8 | ||||
Percentage of Male Employees | % | 91.7 | 66.7 | 63.6 | 66.7 | 59 |
Percentage of Part-time Employees | % | 1.6 | ||||
Percentage of Temporary Workers | % | 6.5 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 51.3 |
Turnover Rate of Employees Aged Above 50 | % | 21.1 |
Turnover Rate of Employees Aged Below 30 | % | 27.6 |
Turnover Rate of Female Employees | % | 45.7 |
Turnover Rate of General Employees | % | 81.8 |
Turnover Rate of Male Employees | % | 54.3 |
Turnover Rate of Senior Management Employees | % | 18.2 |
Turnover Rate of Total Employees | % | 13.7 |
Lost days due to work injury.
Standard Indicator | Unit | 2020 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 1560 |
Lost Time Injury Frequency Rate (LTIFR/LTIR) | per 1000000 hours worked | 0.87 |
Number of Work-related Injuries | cases | 45 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of the organization operating with certified occupational health and safety management system (ISO 45001 or OHSAS 18001) - Total | % | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of Employees Trained | percent | 95.9 |
Percentage of Trained Hong Kong Employees | percent | 92.1 |
Percentage of Trained Mainland China Employees | percent | 96.9 |
Percentage of Trained Senior Management | percent | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Average Training Hours (Female) | hours | 22.8 | |
Average Training Hours (General Staff) | hours | 19.8 | |
Average Training Hours (Male) | hours | 18.1 | |
Average Training Hours (Senior Management) | hours | 20.5 | |
Average Training Hours per Employee | hours | 20 | |
Total Training Hours | hours | 169000 | 126000 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2020 |
---|---|---|
Anti-corruption Training Coverage among Directors and Management | % | 100 |
Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 73.4 |
Coverage of Anti-corruption Training for Employees | % | 73.4 |
Total Hours of Anti-corruption Training | hours | 5300 |
Total Hours of Anti-corruption Training for Employees | hours | 5300 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Total Volunteer Service Hours | hours | 7000 | 9300 |