Sustainable Development Report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Non-compliance with environmental laws and regulations | In 2019, we were not subject to significant fines or non-monetary sanctions for non-compliance with such laws or regulations. | 187 | |
Ultra-low sulphur diesel (ULSD) - Hotels | Litres | 699 | 175 |
Ultra-low sulphur diesel (ULSD) - Total | Litres | 699 | 175 |
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 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
Building carbon intensity by gross floor area (HK Portfolio) | Tonnes of CO2e/m2/year | 0.111 | 0.109 | 145 | |||||
Building carbon intensity by gross floor area (Mainland China Portfolio) | Tonnes of CO2e/m2/year | 0.074 | 0.073 | 145 | |||||
Building carbon intensity by gross floor area (U.S.A. Portfolio) | Tonnes of CO2e/m2/year | 0.102 | 0.109 | 145 | |||||
Carbon Emissions Scope 1 Hong Kong Portfolio | Tonnes of CO2e | 749 | 824 | 802 | 778 | 679 | 118 | ||
Carbon Emissions Scope 1 Hotels | Tonnes of CO2e | 2424 | 3497 | 3340 | 3184 | 4075 | 118 | ||
Carbon Emissions Scope 1 Mainland China Portfolio | Tonnes of CO2e | 5074 | 4968 | 4568 | 4550 | 5067 | 118 | ||
Carbon Emissions Scope 1 U.S.A. Portfolio | Tonnes of CO2e | 56 | 51 | 118 | |||||
Carbon Emissions Scope 2 Hong Kong Portfolio | Tonnes of CO2e | 147511 | 138457 | 127149 | 121592 | 110957 | 118 | ||
Carbon Emissions Scope 2 Hotels | Tonnes of CO2e | 18818 | 8143 | 26210 | 29345 | 35421 | 118 | ||
Carbon Emissions Scope 2 Mainland China Portfolio | Tonnes of CO2e | 45818 | 52058 | 53090 | 49602 | 64379 | 118 | ||
Carbon Emissions Scope 2 U.S.A. Portfolio | Tonnes of CO2e | 7133 | 7664 | 118 | |||||
Carbon Intensity Hong Kong Portfolio | Tonnes of CO2e/sq.m/year | 0.06 | 118 | ||||||
Carbon Intensity Hotels | Tonnes of CO2e/sq.m/year | 0.10 | 118 | ||||||
Carbon Intensity Mainland China Portfolio | Tonnes of CO2e/sq.m/year | 0.08 | 118 | ||||||
Carbon Intensity U.S.A. Portfolio | Tonnes of CO2e/sq.m/year | 0.03 | 118 | ||||||
Carbon intensity (Hong Kong Portfolio) | Tonnes of CO2e/m2/yr | 0.12 | 0.118 | 0.116 | 0.111 | 0.109 | 176 | ||
Carbon intensity (Hotels) | Tonnes of CO2e/guest night | 0.064 | 0.063 | 0.061 | 0.036# | 0.036 | 176 | ||
Carbon intensity (Mainland China Portfolio) | Tonnes of CO2e/m2/yr | 0.085 | 0.089 | 0.084 | 0.074 | 0.073 | 176 | ||
Carbon intensity (U.S.A. Portfolio) | Tonnes of CO2e/m2/yr | 0.102 | 0.109 | 176 | |||||
Direct carbon emissions (Scope 1) - Hong Kong Portfolio | Tonnes of CO2-e | 1.61 | 175 | ||||||
Direct carbon emissions (Scope 1) - Hotels | Tonnes of CO2-e | 5.67 | 175 | ||||||
Direct carbon emissions (Scope 1) - Mainland China Portfolio | Tonnes of CO2-e | 5.57 | 175 | ||||||
Direct carbon emissions (Scope 1) - Total | Tonnes of CO2-e | 12.44 | 175 | ||||||
Direct carbon emissions (Scope 1) - U.S.A. Portfolio | Tonnes of CO2-e | 0.51 | 175 | ||||||
Indirect carbon emissions (Scope 2) - Hong Kong Portfolio | Tonnes of CO2-e | 110657 | 175 | ||||||
Indirect carbon emissions (Scope 2) - Hotels | Tonnes of CO2-e | 35421 | 175 | ||||||
Indirect carbon emissions (Scope 2) - Mainland China Portfolio | Tonnes of CO2-e | 64379 | 175 | ||||||
Indirect carbon emissions (Scope 2) - Total | Tonnes of CO2-e | 210464 | 175 | ||||||
Indirect carbon emissions (Scope 2) - U.S.A. Portfolio | Tonnes of CO2-e | 7.64 | 175 | ||||||
Purchased electricity - Hotels | MWh | 51041 | 175 | ||||||
Reduction of carbon intensity (tonnes of CO2e/m2), Hong Kong portfolio | % | 28 | 27 | 110 | |||||
Reduction of carbon intensity (tonnes of CO2e/m2), Mainland China portfolio | % | 19.9 | 21 | 110 | |||||
Refrigerants containing HCFCs refilled - Hong Kong Portfolio | Kilograms | 347 | 175 | ||||||
Refrigerants containing HCFCs refilled - Hotels | Kilograms | 49 | 175 | ||||||
Refrigerants containing HCFCs refilled - Mainland China Portfolio | Kilograms | 189 | 175 | ||||||
Refrigerants containing HCFCs refilled - Total | Kilograms | 347 | 175 | ||||||
Scope 2 carbon emissions from purchased electricity in Hong Kong portfolio (year-on-year change) | % | -9.2 | 117 | ||||||
Scope 3 GHG Emissions Intensity, Capital Goods (per sqm, reduction from 2016-2018 baseline year) | % | -25 | 123 | ||||||
Scope 3 GHG Emissions Intensity, Downstream Leased Assets (per sqm, reduction from 2018 baseline year) | % | -28 | 123 | ||||||
Scope 3 GHG emissions from capital goods reduction per sqm (compared to 2016-2018 baseline) | percent | 25 | 142 | ||||||
Scope 3 GHG emissions from downstream leased assets reduction per sqm (compared to 2018 baseline) | percent | 28 | 142 | ||||||
Total carbon emissions (Scopes 1 & 2) - Hong Kong Portfolio | Tonnes of CO2-e | 110659 | 175 | ||||||
Total carbon emissions (Scopes 1 & 2) - Hotels | Tonnes of CO2-e | 35427 | 175 | ||||||
Total carbon emissions (Scopes 1 & 2) - Mainland China Portfolio | Tonnes of CO2-e | 64385 | 175 | ||||||
Total carbon emissions (Scopes 1 & 2) - Total | Tonnes of CO2-e | 230465 | 175 | ||||||
Total carbon emissions (Scopes 1 & 2) - U.S.A. Portfolio | Tonnes of CO2-e | 7.77 | 175 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|---|---|
Total hazardous waste disposal (Swire Properties) | Litres | 1826 | 292 | 1018 | 422 | 420 | 176 |
Total hazardous waste recycling (Swire Properties) | Litres | 200 | 750 | 530 | 176 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|---|---|
Food waste collected from Hong Kong and Mainland China portfolios and hotels | tonnes | 8000 | 132 | ||||
Increase in F&B-related recyclables collected at three malls during trial period | percent | 43 | 132 | ||||
Increase in food waste collected from Hong Kong and Mainland China portfolios and hotels compared with 2018 | percent | 78 | 132 | ||||
Increase in food waste collection across three malls | percent | 57 | 132 | ||||
Number of tenants collected new types of recyclables at their premises | 14 | 132 | |||||
Paper products - Hong Kong Portfolio | Kilograms | 27728 | 175 | ||||
Paper products - Hotels | Kilograms | 19722 | 175 | ||||
Paper products - Mainland China Portfolio | Kilograms | 17925 | 175 | ||||
Paper products - Total | Kilograms | 65475 | 175 | ||||
Total non-hazardous waste disposal (Swire Properties) | Tonnes | 39398 | 45186 | 43140 | 43359 | 44699 | 176 |
Total non-hazardous waste recycling (Swire Properties) | Tonnes | 7579 | 9224 | 126035 | 161038 | 114559 | 176 |
Volume of waste disposed by participating tenants (Municipal Solid Waste Charging Trial Scheme, three malls) | percent | -11 | 132 | ||||
Waste disposal (Non-Hazardous) - Commercial and domestic waste - Hong Kong Portfolio | Tonnes | 3127 | 175 | ||||
Waste disposal (Non-Hazardous) - Commercial and domestic waste - Hotels | Tonnes | 1779 | 175 | ||||
Waste disposal (Non-Hazardous) - Commercial and domestic waste - Mainland China Portfolio | Tonnes | 16687 | 175 | ||||
Waste disposal (Non-Hazardous) - Commercial and domestic waste - Total | Tonnes | 23791 | 175 | ||||
Waste disposal (Non-Hazardous) - Commercial and domestic waste - U.S.A. Portfolio | Tonnes | 1475 | 175 | ||||
Waste disposal (Non-Hazardous) - Construction and demolition waste - Hong Kong Portfolio | Tonnes | 12196 | 175 | ||||
Waste disposal (Non-Hazardous) - Construction and demolition waste - Mainland China Portfolio | Tonnes | 6525 | 175 | ||||
Waste disposal (Non-Hazardous) - Construction and demolition waste - Total | Tonnes | 19721 | 175 | ||||
Waste disposal (Non-Hazardous) - Grease trap waste - Hong Kong Portfolio | Tonnes | 184 | 175 | ||||
Waste disposal (Non-Hazardous) - Grease trap waste - Total | Tonnes | 184 | 175 | ||||
Waste disposal (Non-Hazardous) - Residential / domestic - Hong Kong Portfolio | Tonnes | 4683 | 175 | ||||
Waste disposal (Non-Hazardous) - Residential / domestic - Hotels | Tonnes | 133 | 175 | ||||
Waste disposal (Non-Hazardous) - Residential / domestic - Total | Tonnes | 4802 | 175 | ||||
Waste diversion rate from landfill, Hong Kong portfolio (including hotels) | percent of commercial waste | 21.7 | 113 | ||||
Waste diversion rate from landfill, Hong Kong projects under development, construction waste at One Taikoo Place | percent | 68 | 113 | ||||
Waste diversion rate from landfill, Hong Kong projects under development, construction waste at South Island Place | percent | 66 | 113 | ||||
Waste diversion rate from landfill, Hong Kong projects under development, demolition waste at 21-31 Wing Fung Street, Wan Chai | percent | 98 | 113 | ||||
Waste diversion rate from landfill, Hong Kong projects under development, demolition waste at 46-56 Queen's Road East, 1A-11 Landale Street and 2A-12 Anton Street | percent | 90 | 113 | ||||
Waste diversion rate from landfill, Hong Kong projects under development, demolition waste at Two Taikoo Place | percent | 84 | 113 | ||||
Waste diversion rate, Hong Kong Portfolio | 21.7% | 12 | |||||
Waste diversion rate, Mainland China Portfolio | 32.5% | 12 | |||||
Waste recycling (Non-Hazardous) - Construction and demolition waste - Hong Kong Portfolio | Tonnes | 100726 | 175 | ||||
Waste recycling (Non-Hazardous) - Construction and demolition waste - Mainland China Portfolio | Tonnes | 2254 | 175 | ||||
Waste recycling (Non-Hazardous) - Construction and demolition waste - Total | Tonnes | 102980 | 175 | ||||
Waste recycling (Non-Hazardous) - Food waste - Hotels | Tonnes | 7109 | 175 | ||||
Waste recycling (Non-Hazardous) - Food waste - Total | Tonnes | 7109 | 175 | ||||
Waste recycling (Non-Hazardous) - Glass - Hotels | Tonnes | 429 | 175 | ||||
Waste recycling (Non-Hazardous) - Glass - Total | Tonnes | 429 | 175 | ||||
Waste recycling (Non-Hazardous) - Grease trap waste - Hotels | Tonnes | 243 | 175 | ||||
Waste recycling (Non-Hazardous) - Grease trap waste - Total | Tonnes | 243 | 175 | ||||
Waste recycling (Non-Hazardous) - Metal - Hong Kong Portfolio | Tonnes | 1901 | 175 | ||||
Waste recycling (Non-Hazardous) - Metal - Hotels | Tonnes | 66 | 175 | ||||
Waste recycling (Non-Hazardous) - Metal - Total | Tonnes | 1967 | 175 | ||||
Waste recycling (Non-Hazardous) - Mixed recyclables - Hong Kong Portfolio | Tonnes | 228 | 175 | ||||
Waste recycling (Non-Hazardous) - Mixed recyclables - Hotels | Tonnes | 0.1 | 175 | ||||
Waste recycling (Non-Hazardous) - Mixed recyclables - Mainland China Portfolio | Tonnes | 91 | 175 | ||||
Waste recycling (Non-Hazardous) - Mixed recyclables - Total | Tonnes | 319 | 175 | ||||
Waste recycling (Non-Hazardous) - Mixed recyclables - U.S.A. Portfolio | Tonnes | 82 | 175 | ||||
Waste recycling (Non-Hazardous) - Paper - Hong Kong Portfolio | Tonnes | 1205 | 175 | ||||
Waste recycling (Non-Hazardous) - Paper - Hotels | Tonnes | 66 | 175 | ||||
Waste recycling (Non-Hazardous) - Paper - Total | Tonnes | 1398 | 175 | ||||
Waste recycling (Non-Hazardous) - Plastics - Hong Kong Portfolio | Tonnes | 507 | 175 | ||||
Waste recycling (Non-Hazardous) - Plastics - Hotels | Tonnes | 66 | 175 | ||||
Waste recycling (Non-Hazardous) - Plastics - Total | Tonnes | 573 | 175 | ||||
Waste recycling rate, Mainland China portfolio (including hotels) | percent of commercial waste | 32.5 | 113 | ||||
Wastewater discharged - Total | 000 L | 432471 | 175 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | 2020 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Carbon Intensity Reduction Progress Hong Kong Portfolio | 28% | 118 | ||||
Carbon Intensity Reduction Progress Mainland China Portfolio | 19.9% | 118 | ||||
Carbon Intensity Reduction Target Hong Kong Portfolio | 27% | 118 | ||||
Carbon Intensity Reduction Target Mainland China Portfolio | 21% | 118 | ||||
Carbon intensity reduction, Hong Kong Portfolio | 27% | 12 | ||||
Carbon intensity reduction, Mainland China Portfolio | 21% | 12 | ||||
First real estate company in Hong Kong and Mainland China to set science-based targets approved by SBTi | Yes | 3 | ||||
Scope 1 and 2 GHG Emissions Intensity (per sqm, reduction from 2018 baseline year) | % | -35 | -52 | 123 | ||
Scope 1 and 2 greenhouse gas (GHG) emissions reduction per sqm (compared to 2018 baseline) | percent | 35 | 52 | 142 |
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 | 2019 | Report Pages |
---|---|---|---|
Growth in tenant participation in food waste recycling programme at Citygate, Cityplaza, Taikoo Place, Pacific Place and Island Place Mall compared with 2018 | percent | 34 | 132 |
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 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|---|
Biodiesel - Hotels | Litres | 266 | 175 | |||||
Biodiesel - Total | Litres | 266 | 175 | |||||
Building energy intensity by gross floor area (HK Portfolio) | kWh/m²/year | 142 | 139 | 144 | ||||
Building energy intensity by gross floor area (Mainland China Portfolio) | kWh/m²/year | 101 | 101 | 144 | ||||
Building energy intensity by gross floor area (U.S.A. Portfolio) | kWh/m²/year | 221 | 237 | 144 | ||||
Direct energy consumption (Industrial diesel + ULSD + biodiesel + petrol + town gas + natural gas + liquefied petroleum gas) - Hong Kong Portfolio | GJ | 2393 | 175 | |||||
Direct energy consumption (Industrial diesel + ULSD + biodiesel + petrol + town gas + natural gas + liquefied petroleum gas) - Hotels | GJ | 88316 | 175 | |||||
Direct energy consumption (Industrial diesel + ULSD + biodiesel + petrol + town gas + natural gas + liquefied petroleum gas) - Mainland China Portfolio | GJ | 710 | 175 | |||||
Direct energy consumption (Industrial diesel + ULSD + biodiesel + petrol + town gas + natural gas + liquefied petroleum gas) - Total | GJ | 204175 | 175 | |||||
Direct energy consumption (Industrial diesel + ULSD + biodiesel + petrol + town gas + natural gas + liquefied petroleum gas) - U.S.A. Portfolio | GJ | 775 | 175 | |||||
Direct energy intensity (Hong Kong Portfolio) | GJ/m2/yr | 0.003 | 0.002 | 0.002 | 0.002 | 0.002 | 176 | |
Direct energy intensity (Hotels) | GJ/guest night | 0.14 | 0.131 | 0.127 | 0.080# | 0.079 | 176 | |
Direct energy intensity (Mainland China Portfolio) | GJ/m2/yr | 0.095 | 0.13 | 0.115 | 0.128 | 0.117 | 176 | |
Direct energy intensity (U.S.A. Portfolio) | GJ/m2/yr | 0.011 | 0.01 | 176 | ||||
Energy consumption, Hong Kong Portfolio | million kWh/year | 146 | 12 | |||||
Energy consumption, Mainland China Portfolio | million kWh/year | 23 | 12 | |||||
Expenditures for renewable energy supported by green bond proceeds | HK$ | 11 million | 2 million | 144 | ||||
Gross rental income contributed by certified green buildings | % | >95% | >95% | 144 | ||||
Indirect energy intensity (Hong Kong Portfolio) | kWh/m2/yr | 153 | 149 | 146 | 142 | 139 | 176 | |
Indirect energy intensity (Hotels) | kWh/guest night | 73 | 60 | 69 | 47# | 46 | 176 | |
Indirect energy intensity (Mainland China Portfolio) | kWh/m2/yr | 105 | 108 | 103 | 101 | 101 | 176 | |
Indirect energy intensity (U.S.A. Portfolio) | kWh/m2/yr | 221 | 237 | 176 | ||||
Industrial diesel - Hong Kong Portfolio | Litres | 511 | 175 | |||||
Industrial diesel - Hotels | Litres | 2298 | 175 | |||||
Industrial diesel - Mainland China Portfolio | Litres | 5000 | 175 | |||||
Industrial diesel - Total | Litres | 26502 | 175 | |||||
Industrial diesel - U.S.A. Portfolio | Litres | 18704 | 175 | |||||
Liquefied petroleum gas - Hotels | Kilograms | 3000 | 175 | |||||
Liquefied petroleum gas - Mainland China Portfolio | Kilograms | 76780 | 175 | |||||
Liquefied petroleum gas - Total | Kilograms | 79780 | 175 | |||||
Petrol - Hong Kong Portfolio | Litres | 1419 | 175 | |||||
Petrol - Hotels | Litres | 4217 | 175 | |||||
Petrol - Mainland China Portfolio | Litres | 6740 | 175 | |||||
Petrol - Total | Litres | 12496 | 175 | |||||
Petrol - U.S.A. Portfolio | Litres | 128 | 175 | |||||
Proportion of electricity consumption from renewable sources | % | 10.6% | 13.2% | 144 | ||||
Purchased electricity - Hong Kong Portfolio | MWh | 141955 | 175 | |||||
Purchased electricity - Mainland China Portfolio | MWh | 97350 | 175 | |||||
Purchased electricity - Total | MWh | 307942 | 175 | |||||
Purchased electricity - U.S.A. Portfolio | MWh | 16753 | 175 | |||||
Reduction of energy consumption, Hong Kong portfolio | %, million kWh/year | 26.9 | 26 | 111 | ||||
Reduction of energy consumption, Mainland China portfolio | %, million kWh/year | 19.4 | 20 | 111 | ||||
Reduction of natural gas consumption, Mainland China portfolio | %, million m³/year | 36.1 | 32 | 111 | ||||
Total electricity consumption | MWh | 287365 | 307942 | 144 | ||||
Total energy consumption - Hong Kong Portfolio | GJ | 513437 | 175 | |||||
Total energy consumption - Hotels | GJ | 274279 | 175 | |||||
Total energy consumption - Mainland China Portfolio | GJ | 340554 | 175 | |||||
Total energy consumption - Total | GJ | 1312767 | 175 | |||||
Total energy consumption - U.S.A. Portfolio | GJ | 61020 | 175 | |||||
Town gas - Hong Kong Portfolio | MJ | 110151 | 175 | |||||
Town gas - Hotels | MJ | 219459 | 175 | |||||
Town gas - Total | MJ | 329610 | 175 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|---|
Reduction of water intensity, Hong Kong portfolio | % (m³/m²) | 33 | 114 | |||||
Reduction of water intensity, Hong Kong portfolio (compared to 2016 baseline) | % (m³/m²) | -20 | 114 | |||||
Reduction of water intensity, Hotels | % (m³/guest night) | -48 | 114 | |||||
Reduction of water intensity, Hotels (compared to 2016 baseline) | % (m³/guest night) | -20 | 114 | |||||
Reduction of water intensity, Mainland China portfolio | % (m³/m²) | -7 | 114 | |||||
Reduction of water intensity, Mainland China portfolio (compared to 2016 baseline) | % (m³/m²) | -20 | 114 | |||||
Waste potable water reused for flushing - Hong Kong Portfolio | 000 L | 7296 | 175 | |||||
Waste potable water reused for flushing - Mainland China Portfolio | 000 L | 7520 | 175 | |||||
Waste potable water reused for flushing - Total | 000 L | 82316 | 175 | |||||
Wastewater discharged - Hong Kong Portfolio | 000 L | 401232 | 175 | |||||
Wastewater discharged - Hotels | 000 L | 511 | 175 | |||||
Wastewater discharged - Mainland China Portfolio | 000 L | 983 | 175 | |||||
Wastewater discharged - U.S.A. Portfolio | 000 L | 111 | 175 | |||||
Water Intensity, Hong Kong Portfolio, 2019 Progress | % change from 2016 baseline | 33% | 120 | |||||
Water Intensity, Hotels, 2019 Progress | % change from 2016 baseline | -48% | 120 | |||||
Water Intensity, Mainland China Portfolio, 2019 Progress | % increase from 2016 baseline | 7% | 120 | |||||
Water consumption - municipal - Hong Kong Portfolio | 000 m3 | 411 | 175 | |||||
Water consumption - municipal - Hotels | 000 m3 | 430 | 175 | |||||
Water consumption - municipal - Mainland China Portfolio | 000 m3 | 475 | 175 | |||||
Water consumption - municipal - Total | 000 m3 | 2007 | 175 | |||||
Water intensity (Hong Kong Portfolio) | m3/m2/yr | 0.276 | 0.302 | 0.314 | 0.285 | 0.401 | 176 | |
Water intensity (Hotels) | m3/guest night | 0.725 | 0.819 | 0.668 | 0.459# | 0.427 | 176 | |
Water intensity (Mainland China Portfolio) | m3/m2/yr | 1.058 | 1.119 | 1.306 | 0.958 | 1.046 | 176 | |
Water intensity (U.S.A. Portfolio) | m3/m2/yr | 1.498## | 1.571 | 176 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Annual energy consumption reduction target, Hong Kong Portfolio | million kWh/year | 64 | 119 | ||
Annual energy consumption reduction target, Mainland China Portfolio | million kWh/year | 23 | 119 | ||
Annual energy consumption reduction, Hong Kong Portfolio | million kWh/year | 62.7 | 119 | ||
Annual energy consumption reduction, Mainland China Portfolio | million kWh/year | 23.2 | 119 | ||
Energy consumption reduction percentage, Hong Kong Portfolio | 26.9% | 119 | |||
Energy consumption reduction percentage, Mainland China Portfolio | 19.4% | 119 | |||
Energy consumption reduction target percentage, Hong Kong Portfolio | 26% | 119 | |||
Energy consumption reduction target percentage, Mainland China Portfolio | 20% | 119 | |||
Energy consumption reduction, Hong Kong Portfolio | 26% | 12 | |||
Energy consumption reduction, Mainland China Portfolio | 20% | 12 | |||
Expenditures for energy efficiency/low-carbon projects supported by green bond proceeds | HK$ | 116 million | 31 million | 144 | |
Expenditures for green building development supported by green bond proceeds | HK$ | 2987 million | 733 million | 145 | |
Potential annual energy savings from free energy audits for tenants | kWh | 9000000 | 12 |
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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Expenditures for sustainable water and wastewater management supported by green bond proceeds | HK$ | 8 million | 3 million | 144 | |
Wastewater reused for flushing - Hong Kong Portfolio | 000 L | 238225 | 175 | ||
Wastewater reused for flushing - Hotels | 000 L | 40529 | 175 | ||
Wastewater reused for flushing - Total | 000 L | 278754 | 175 | ||
Water Intensity, Hong Kong Portfolio, 2020 Target | % reduction from 2016 baseline | 20% | 120 | ||
Water Intensity, Hotels, 2020 Target | % reduction from 2016 baseline | 20% | 120 | ||
Water Intensity, Mainland China Portfolio, 2020 Target | % reduction from 2016 baseline | 20% | 120 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Total packaging material used for finished products by Swire Properties, mainly by Swire Restaurants for food packaging | tonnes | 22 | 192 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Existing buildings certified green buildings with highest ratings | 97% | 12 | ||
Green bond proceeds from first green bond | US$ | 500000000 | 12 | |
Number of BEAM or BEAM Plus certified buildings achieving highest ratings (Excellent/Platinum) | buildings | 29 | 137 | |
Number of buildings earning BEAM or BEAM Plus certification | buildings | 36 | 137 | |
Number of buildings earning LEED certification (Platinum or Gold) | buildings | 39 | 137 | |
Number of mixed-use developments achieving Gold ratings under LEED for Neighbourhood Development | developments | 2 | 137 | |
Percentage of certified green buildings achieving highest ratings | percent | 84% | 137 | |
Percentage of existing buildings certified as green buildings | percent | 97% | 137 | |
Percentage of existing buildings which are certified green buildings | % | 92% | 97% | 145 |
Percentage of projects under development achieving highest ratings of green building certification | percent | 100% | 137 | |
Percentage of projects under development which are certified green buildings | % | 100% | 100% | 145 |
Projects achieving highest environmental building assessment scheme ratings | 100% | 12 |
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 | 2019 | Report Pages |
---|---|---|---|
Number of years as the only company from Hong Kong and Mainland China listed on Dow Jones Sustainability World Index | years | 3 | 3 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|---|---|
Diversity - Female ratio (all management positions) | 51.7% | 52.1% | 51.1% | 50.9% | 51.1% | 177 | |
Female workforce percentage | 51.7% | 51.8% | 51.9% | 52.0% | 52.1% | 177 | |
Gender remuneration ratio (Female to Male) - Management | 1.13 | 1.12 | 1.12 | 1.13 | 1.13 | 177 | |
Gender remuneration ratio (Female to Male) - Non-management | 1.08 | 1.08 | 1.08 | 1.08 | 1.08 | 177 | |
Gender remuneration ratio (female to male) | 1 | 12, 82 | |||||
New hires | 533 | 521 | 508 | 611 | 590 | 177 | |
Number of employees | 6000+ | 5 | |||||
Parental leave - Number of employees entitled to parental leave | 2222 | 2334 | 2356 | 2302 | 2302 | 177 | |
Parental leave - Number of employees who took parental leave | 149 | 159 | 168 | 157 | 170 | 177 | |
Percentage of EXCOM members who are women | % | 42 | 82 | ||||
Percentage of management positions held by women | % | 51 | 82 | ||||
Total workforce | 3651 | 3654 | 3666 | 3674 | 3558 | 177 | |
Total workforce Hotels | 1697 | 1626 | 1604 | 1356 | 1177 | 177 | |
Total workforce Mainland China Portfolio | 1606 | 1607 | 1626 | 1634 | 1647 | 177 | |
Total workforce Total | 5954 | 5937 | 5947 | 5715 | 5558 | 177 | |
Total workforce U.S.A. Portfolio | 51 | 51 | 51 | 51 | 51 | 177 | |
Women holding management positions | 51% | 12 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|---|---|
Parental leave - Return to work rate | 91.9% | 91.8% | 91.7% | 91.1% | 84.6% | 177 | |
Turnover | 1013 | 1011 | 1013 | 1011 | 849 | 177 |
Lost days due to work injury.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Lost Day Rate (LDR) | 48.36 | 54.47 | 43.28 | 78 | |
Lost Day Rate (LDR), Hong Kong | 53.31 | 78 | |||
Lost Day Rate (LDR), Hotels | 44.4 | 78 | |||
Lost Day Rate (LDR), Mainland China | 25.37 | 78 | |||
Lost Day Rate (LDR), Miami, U.S.A. | 28.72 | 78 | |||
Lost Time Injury Rate (LTIR) | 1.43 | 1.47 | 1.63 | 12, 69, 78 | |
Lost Time Injury Rate (LTIR), Hong Kong | 1.72 | 78 | |||
Lost Time Injury Rate (LTIR), Hotels | 2.21 | 78 | |||
Lost Time Injury Rate (LTIR), Mainland China | 0.62 | 78 | |||
Lost Time Injury Rate (LTIR), Miami, U.S.A. | 1.31 | 78 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Completion rate of compulsory OHS e-learning platform for senior management | % | 100 | 79 |
Mainland China properties preparing ISO 45001:2018 documentation | properties | 4 | 69 |
Migration of safety management systems in Hong Kong to ISO 45001:2018 standard | Completed | 69 | |
Number of properties in Hong Kong with SMS complying with ISO 45001:2018 standard | properties | 6 | 77 |
Number of properties in Mainland China with SMS complying with OHSAS 18001:2007 standard | properties | 4 | 77 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|---|---|
Increase in number of nominated programmes from employees compared to 2016 | % | 18 | 71 | ||||
Number of DISC Profile workshops held | workshops | 15 | 76 | ||||
Number of employees attending DISC Profile workshops | employees | 300 | 76 | ||||
Number of events, luncheon talks and workshops in Employee Wellness Programme (Hong Kong) | events | 15 | 80 | ||||
OHS e-learning platform completion rate (senior management) | 100% | 69 | |||||
Performance Review - Percentage of employees who received performance review | 91.5% | 91.6% | 91.5% | 93.7% | 97.0% | 177 | |
Taikoo Place Business Network: Quarterly event attendance (middle-management employees) | people per event | 100 | 102 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Average hours of training, Female | hours | 30.7 | 74 | |
Average hours of training, Male | hours | 23.2 | 74 | |
Average hours of training, Management | hours | 28.2 | 74 | |
Average hours of training, Non-management | hours | 24.3 | 74 | |
Average training hours per employee | hours | 26.2 | 68, 74 | |
Increase in OHS training hours compared to 2015 | 21% | 69 | ||
Increase in average training hours per employee (compared to 2016) | percent | 112% | 68 | |
Increase in training hours per employee per year (compared to 2016) | percent | 25% | 68 | |
KPI target for increase in total occupational health and safety training hours compared to 2015 baseline | % | 5 | 79 | |
OHS training hours delivered | hours | 28600 | 69 | |
Total occupational health and safety training hours delivered | hours | 28600 | 79 | |
Total training hours delivered | hours | 169000 | 12, 68 | |
Total training hours provided by DISC Profile workshops | training hours | 2500 | 76 | |
Training hours per employee per year | 26.2 | 12 |
Number of suppliers by geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of suppliers, Hong Kong | 2900 | 94 | |
Number of suppliers, Mainland China | 2000 | 94 | |
Number of suppliers, U.S.A. | 600 | 94 |
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 | 2019 | Report Pages |
---|---|---|---|
Green Procurement spending | HK$ | 48000000 | 12 |
Green procurement total value for Hong Kong and Mainland China | HK$ million | 48 | 95 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Percentage of total products sold or shipped subject to recalls for safety and health reasons | N/A | 196 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of products and service related complaints received and how they are dealt with | N/A | 196 | |
PROJECT AFTER 6: Applications from tenants | 23 | 102 | |
PROJECT AFTER 6: Audience from tenants (percentage) | 90% | 102 | |
PROJECT AFTER 6: Finalist music groups from tenants | music groups | 12 | 102 |
PROJECT AFTER 6: Top finalists selected for finale concert | 10 | 102 | |
PROJECT AFTER 6: Total applications | 120 | 102 | |
PROJECT AFTER 6: Total audience | attendees | 8600 | 102 |
PROJECT AFTER 6: Total number of finalist music groups | music groups | 40 | 102 |
PROJECT AFTER 6: Total number of finalist performers | performers | 92 | 102 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Dow Jones Sustainability World Index overall ranking out of 23 leading real estate developers | rank | 8 | 3 |
Dow Jones Sustainability World Index ranking in Asia | rank | 1 | 3 |
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 | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Underlying profit attributable to shareholders | HK$ million | 10148 | 24130 | 5 |
Underlying profit/(loss) by segment - Hotels | HK$ million | -41 | -70 | 5 |
Underlying profit/(loss) by segment - Property investment | HK$ million | 10090 | 24218 | 5 |
Underlying profit/(loss) by segment - Property trading | HK$ million | 99 | -18 | 5 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of whistleblowing reports received related to work behaviour of employees | report | 1 | 153 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Total hours of anti-bribery related training conducted for employees across the Company | hours | 6660 | 153 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Community Ambassador Programme supporting activities | activities | 98 | 12 |
Community Ambassador Programme, Activities supported | 98 | 85 | |
First sustainability-linked loan in Hong Kong | Yes | 3 | |
Long term sustainable growth in shareholder value | HK$ | 24013000000 | 12 |
Number of activities held during work-life balance week (Hong Kong) | activities | 11 | 80 |
Number of interest clubs sponsored (Hong Kong) | clubs | 8 | 80 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Community Ambassador Programme Volunteer Hours, Community focus area | % | 59 | 85 |
Community Ambassador Programme Volunteer Hours, Culture focus area | % | 6.5 | 85 |
Community Ambassador Programme Volunteer Hours, Education focus area | % | 3 | 85 |
Community Ambassador Programme Volunteer Hours, Elderly focus area | % | 10.5 | 85 |
Community Ambassador Programme Volunteer Hours, Environmental focus area | % | 19 | 85 |
Community Ambassador Programme Volunteer Hours, Youth focus area | % | 2 | 85 |
Community Ambassador Programme volunteer service hours | hours | 7000 | 12 |
Community Ambassador Programme, Total volunteer hours | hours | >7000 | 85 |
Number of employees and family members participating in Employee Wellness Programme (Hong Kong) | people | 1315 | 80 |
Sustainability-linked loan | HK$ | 500000000 | 12 |
Volunteer service hours contributed by Community Ambassadors in Hong Kong, Mainland China and Miami, U.S.A. | hours | 7000 | 71 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2019 |
---|---|---|
SOâ‚“ Emissions | Litres of ultra-low sulphur diesel consumed | 699 |
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 | 2015 | 2016 | 2017 | 2018 | 2019 | 2030 |
---|---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | Tonnes of CO2e | 8247 | 9289 | 8710 | 12568 | 9872 | |
Indirect Energy Emissions (Scope 2) | Tonnes of CO2e | 212147 | 198658 | 206449 | 207672 | 218421 | |
Scope 1 GHG Emissions Intensity (By Area) | Tonnes of CO2e/m2/year | None | |||||
Scope 2 GHG Emissions Intensity (By Area) | Tonnes of CO2e/m2/year | None | |||||
Scope 3 GHG Emissions (Capital Goods) | % (reduction per sqm from 2016-2018 baseline) | -25 | |||||
Scope 3 GHG Emissions (Downstream Leased Assets) | % (reduction per sqm from 2018 baseline) | -28 | |||||
Scope 3 GHG Emissions Intensity (By Area) | % (Capital Goods, reduction per sqm from 2016-2018 baseline) | -28 | |||||
Total GHG Emissions | Tonnes of CO2e | 228293 | |||||
Total GHG Emissions Intensity (By Area) | Tonnes of CO2e/m2/year | 0.109 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
Hazardous Waste Disposed | Litres | 1826 | 292 | 1018 | 422 | 420 |
Hazardous Waste Recycled | Litres | 200 | 750 | 530 | ||
Total Hazardous Waste | Litres | 2026 | 1042 | 1018 | 952 | 420 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
Diversion Rate of Non-Hazardous Waste | percent | 21.7 | ||||
Glass Waste | tonnes | 429 | ||||
Non-Hazardous Waste (Construction Waste) | tonnes | 19721 | ||||
Non-Hazardous Waste (Domestic Waste) | tonnes | 4802 | ||||
Non-Hazardous Waste Disposed | tonnes | 39398 | 45186 | 43140 | 43359 | 44699 |
Non-Hazardous Waste Recycled | tonnes | 7579 | 9224 | 126035 | 161038 | 114559 |
Paper Waste | tonnes | 1398 | ||||
Plastic Waste | tonnes | 573 | ||||
Recycling Rate of Non-Hazardous Waste | percent | 32.5 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2025 | 2030 |
---|---|---|---|
Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2018 | percent | 35 | 52 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | percent | 34 |
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 | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
Diesel Fuel Consumption | Litres | 26502 | ||||
Direct Energy Consumption Intensity (By Area per Year) | GJ/m2/yr | 0.003 | 0.002 | 0.002 | 0.002 | 0.002 |
Energy Consumption Intensity (By Area per Year) | kWh/m²/year | 142 | 139 | |||
Gasoline Consumption | Litres | 12496 | ||||
Indirect Energy Consumption Intensity (By Area per Year) | kWh/m2/yr | 153 | 149 | 146 | 142 | 139 |
LPG Consumption | Kilograms | 79780 | ||||
Percentage of Renewable Energy Consumption | % | 10.6 | 13.2 | |||
Purchased Electricity | MWh | 287365 | 307942 | |||
Total Direct Energy Consumption | GJ | 204175 | ||||
Total Energy Consumption | GJ | 1312767 | ||||
Total Indirect Energy Consumption | MWh | 307942 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 |
---|---|---|
Municipal Water Consumption | 000 m3 | 2007 |
Recycled Water Usage | 000 L | 82316 |
Total Wastewater Discharge | 000 L | 432471 |
Total Water Withdrawal | 000 m3 | 2007 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Energy Consumption Reduction Compared to Last Year | million kWh/year | 23.2 | ||
Energy Consumption Reduction Percentage Compared to Last Year | % | 20 | ||
Investment in Energy-saving and Emission-reduction Technology Transformation | million HK$ | 2987 | 31 | |
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 26 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % | 20 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2019 |
---|---|---|
Packaging Materials Consumed | tonnes | 22 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
Number of Employees in Hong Kong and Mainland China | 1606 | 1607 | 1626 | 1634 | 1647 | |
Number of Employees in Mainland China | 1606 | 1607 | 1626 | 1634 | 1647 | |
Number of Employees in United States | 51 | 51 | 51 | 51 | 51 | |
Number of New Employees | 533 | 521 | 508 | 611 | 590 | |
Number of New Employees (Hong Kong) | 721 | |||||
Number of New Employees (Mainland China) | 762 | |||||
Number of New Employees (Overseas) | 193 | |||||
Number of Total Employees | 5954 | 5937 | 5947 | 5715 | 5558 | |
Percentage of Female Employees | % | 51.7 | 51.8 | 51.9 | 52 | 52.1 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 |
---|---|---|---|---|---|---|
Percentage of Employees still Employed 12 Months after Return to Work | % | 91.9 | 91.8 | 91.7 | 91.1 | 84.6 |
Lost days due to work injury.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Lost Time Injury Frequency Rate (Hong Kong) | 1.72 | |||
Lost Time Injury Frequency Rate (LTIFR/LTIR) | 1.43 | 1.47 | 1.63 | |
Lost Time Injury Frequency Rate (Mainland China) | 0.62 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2019 |
---|---|---|
Participation Rate of Safety Training | % | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 |
---|---|---|
Average Training Hours (Female) | hours | 30.7 |
Average Training Hours (General Staff) | hours | 24.3 |
Average Training Hours (Male) | hours | 23.2 |
Average Training Hours (Senior Management) | hours | 28.2 |
Average Training Hours per Employee | hours | 26.2 |
Total Training Hours | hours | 169000 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Suppliers in Hong Kong | 2900 | |
Number of Suppliers in Mainland China | 2000 | |
Number of Suppliers in United States | 600 | |
Number of Total Suppliers | 5500 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Recalled Products for Safety and Health Reasons | % | None |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2019 |
---|---|---|
Total Hours of Anti-corruption Training | hours | 6660 |
Total Hours of Anti-corruption Training for Employees | hours | 6660 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Employees Participating in Volunteer Activities | people | 1315 |
Total Volunteer Service Hours | hours | 7000 |