Sustainability Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Non-compliance with environmental laws and regulations | In 2020, the Group received no fines or non-monetary sanctions for incidences of non-compliance. | 74 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Direct (Scope 1) GHG emissions (tonnes CO2e) - DP | tonnes CO2e | 84 | 89 | 85 | 59 |
Direct (Scope 1) GHG emissions (tonnes CO2e) - IP | tonnes CO2e | 4472 | 5745 | 4553 | 59 |
Direct (Scope 1) GHG emissions (tonnes CO2e) - MTL | tonnes CO2e | 8276 | 8158 | 8447 | 59 |
Direct (Scope 1) GHG emissions (tonnes CO2e) - Managed Hotels | tonnes CO2e | 1118 | 59 | ||
Direct (Scope 1) GHG emissions (tonnes CO2e) - Total | tonnes CO2e | 15222 | 21197 | 17024 | 59 |
Direct (Scope 1) GHG emissions (tonnes CO2e) - WL | tonnes CO2e | 67 | 66 | 56 | 59 |
Direct (Scope 1) GHG emissions (tonnes CO2e) - Wharf Hotels | tonnes CO2e | 2323 | 7139 | 2765 | 59 |
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - DP | tonnes CO2e | 103 | 123 | 126 | 59 |
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - IP | tonnes CO2e | 124281 | 135310 | 144137 | 59 |
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - MTL | tonnes CO2e | 25141 | 24908 | 18453 | 59 |
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Managed Hotels | tonnes CO2e | 16505 | 59 | ||
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Total | tonnes CO2e | 157762 | 168082 | 186247 | 59 |
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - WL | tonnes CO2e | 387 | 404 | 316 | 59 |
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Wharf Hotels | tonnes CO2e | 7850 | 7336 | 6620 | 59 |
GHG (Scope 2) Intensity (Changsha IFS) | tonnes CO2e/occupancy rate | 411 | 23 | ||
GHG (Scope 2) Intensity (Chengdu IFS) | tonnes CO2e/occupancy rate | 525 | 23 | ||
GHG Emissions (Changsha IFS) | tonnes CO2e | 34690 | 23 | ||
GHG Emissions (Chengdu IFS) | tonnes CO2e | 47988 | 23 | ||
GHG emissions intensity in tonnes CO2e per GFA m2: Corporate Office | tonnes CO2e per GFA m2 | 0.07 | 0.06 | 0.06 | 26 |
GHG emissions intensity in tonnes CO2e per GFA m2: DP | tonnes CO2e per GFA m2 | 0.06 | 0.06 | 0.05 | 26 |
GHG emissions intensity in tonnes CO2e per GFA m2: IP | tonnes CO2e per GFA m2 | 0.09 | 0.08 | 0.06 | 26 |
GHG emissions intensity in tonnes CO2e per TEU: Logistics | tonnes CO2e per TEU | 0.006 | 0.007 | 0.005 | 26 |
GHG emissions intensity in tonnes CO2e per guest night: Managed Hotels | tonnes CO2e per guest night | 0.07 | 26 | ||
GHG emissions intensity in tonnes CO2e per guest night: Wharf Hotels | tonnes CO2e per guest night | 0.04 | 0.04 | 0.03 | 26 |
Greenhouse Gas (GHG) emissions Scope 1 | tonnes CO2e | 13522 | 21147 | 15528 | 26 |
Greenhouse Gas (GHG) emissions Scope 1 (extended scope) | tonnes CO2e | 17204 | 26 | ||
Greenhouse Gas (GHG) emissions Scope 2 | tonnes CO2e | 137206 | 188002 | 157404 | 26 |
Greenhouse Gas (GHG) emissions Scope 2 (extended scope) | tonnes CO2e | 188247 | 26 | ||
Greenhouse Gas (GHG) emissions Scope 3 | tonnes CO2e | 15376 | 14680 | 13221 | 26 |
Greenhouse Gas (GHG) emissions Scope 3 (extended scope) | tonnes CO2e | 21496 | 26 | ||
Other indirect (Scope 3) GHG emissions (tonnes CO2e) | tonnes CO2e | 15878 | 18680 | 21845 | 59 |
Refrigerants (IP) | tonnes | 0.75 | 61 | ||
Refrigerants (MTL) | tonnes | 0.41 | 61 | ||
Refrigerants (Managed Hotels) | tonnes | 0.01 | 61 | ||
Refrigerants (Total) | tonnes | 1.23 | 61 | ||
Refrigerants (Wharf Hotels) | tonnes | 0.06 | 61 | ||
Total (Scope 1, 2 & 3) emissions (tonnes CO2e) | tonnes CO2e | 188862 | 207959 | 225116 | 59 |
Total (Scope 1, 2 & 3) emissions per HK$1 million revenues | 8.97 | 12.32 | 10.72 | 59 | |
Total (Scope 1, 2 & 3) emissions per number of employee | 39.35 | 42.05 | 39.75 | 59 |
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 |
---|---|---|---|---|---|
Construction waste to incineration (HKP) | tonnes | N/A | 61 | ||
Construction waste to incineration (IP) | tonnes | 11545 | 61 | ||
Construction waste to incineration (MTL) | tonnes | N/A | 61 | ||
Construction waste to incineration (Total) | tonnes | 11545 | 61 | ||
Construction waste to landfill (DP) | tonnes | 8 | 61 | ||
Construction waste to landfill (HKP) | tonnes | N/A | N/A | 2503.47 | 61 |
Construction waste to landfill (IP) | tonnes | 22102 | 3584.4 | 18003.05 | 61 |
Construction waste to landfill (MTL) | tonnes | N/A | 95.89 | 116.09 | 61 |
Construction waste to landfill (Total) | tonnes | 22102 | 3688.29 | 20622.61 | 61 |
Grand Total Waste - Total | tonnes | 20348.56 | 24256.65 | 24215.55 | 60 |
Waste Produced (Changsha IFS) | tonnes | 7130 | 23 | ||
Waste Produced (Chengdu IFS) | tonnes | 3476 | 23 |
Total non-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 |
---|---|---|---|---|---|
Cement (Total) | tonnes | 11010.17 | 61 | ||
Concrete (DP) | tonnes | 27444.24 | 61 | ||
Concrete (IP) | tonnes | 246344.42 | 61 | ||
Concrete (Total) | tonnes | 273788.66 | 61 | ||
Construction waste recycled (DP) | tonnes | 5.15 | 373.62 | 174.86 | 61 |
Construction waste recycled (HKP) | tonnes | N/A | N/A | 2277.24 | 61 |
Construction waste recycled (IP) | tonnes | 122.54 | 76.83 | 3 | 61 |
Construction waste recycled (MTL) | tonnes | N/A | N/A | 61 | |
Construction waste recycled (Total) | tonnes | 127.69 | 450.45 | 2452.1 | 61 |
Earthworks (IP) | m³ | 149858.59 | 61 | ||
Earthworks (Total) | m³ | 149858.59 | 61 | ||
General refuse to landfill - Total | tonnes | 16117.66 | 18499.58 | 14614.97 | 60 |
Glass recycled - Total | tonnes | 6.61 | 2.83 | 60 | |
Incinerated waste - Total | tonnes | 5757.86 | 60 | ||
Metal (MTL) | tonnes | N/A | 61 | ||
Metal (Managed Hotels) | tonnes | 4.2 | 61 | ||
Metal (Total) | tonnes | 4.31 | 61 | ||
Metal (Wharf Hotels) | tonnes | 0.11 | 61 | ||
Metals recycled - Total | tonnes | 154.04 | 227.65 | 334.7 | 60 |
Mortar (DP) | m³ | 24654.04 | 61 | ||
Mortar (HKP) | m³ | 5.25 | 61 | ||
Mortar (Total) | m³ | 24668.65 | 61 | ||
Paper (DP) | tonnes | 9.51 | 61 | ||
Paper (IP) | tonnes | 119 | 61 | ||
Paper (MTL) | tonnes | 14.58 | 61 | ||
Paper (Managed Hotels) | tonnes | 24.86 | 61 | ||
Paper (WL) | tonnes | 8.24 | 61 | ||
Paper (Wharf Hotels) | tonnes | 73.48 | 61 | ||
Paper recycled - Total | tonnes | 445.5 | 453.84 | 354.72 | 60 |
Plastic (MTL) | tonnes | N/A | 61 | ||
Plastic (Managed Hotels) | tonnes | 9.44 | 61 | ||
Plastic (Total) | tonnes | 9.76 | 61 | ||
Plastic (Wharf Hotels) | tonnes | 0.32 | 61 | ||
Rubber (DP) | tonnes | 29.78 | 61 | ||
Rubber (Total) | tonnes | 29.78 | 61 | ||
Soap recycled - Total | tonnes | 1.1 | 0.16 | 60 | |
Steel (DP) | tonnes | 2291.96 | 61 | ||
Steel (IP) | tonnes | 2091.15 | 61 | ||
Steel (Managed Hotels) | tonnes | 0.3 | 61 | ||
Stones (Total) | tonnes | 6779.99 | 61 | ||
Stones (Wharf Hotels) | tonnes | 0.25 | 61 | ||
Wood (Managed Hotels) | tonnes | 1.53 | 61 | ||
Wood (Total) | tonnes | 610565.34 | 61 |
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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Earthworks and mud recycled (DP) | m³ | 76.6 | 62.54 | 61 | |
Earthworks and mud to landfill (DP) | m³ | 2323 | 87472 | 9200 | 61 |
Food Waste recycled - Total | tonnes | 2969 | 4521.66 | 2307.95 | 60 |
Hazardous waste recycled (Liquid) - Total | tonnes | 64.02 | 93.99 | 68.21 | 60 |
Hazardous waste recycled (Solid) - Total | tonnes | 558 | 437.41 | 641.85 | 60 |
Paper consumption reduction at DP | reduction compared to 2019 | 13% | 28 | ||
Plastics recycled - Total | tonnes | 32.79 | 14.81 | 36.9 | 60 |
Waste Recycled (Changsha IFS) | tonnes | 1583 | 23 | ||
Waste Recycled (Chengdu IFS) | tonnes | 564 | 23 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Cement (DP) | tonnes | 117.6 | 61 | ||
Cement (IP) | tonnes | 10859.98 | 61 | ||
Cement (Managed Hotels) | tonnes | 1.3 | 61 | ||
Cement (Wharf Hotels) | tonnes | 0.4 | 61 | ||
Diesel oil energy consumption total | GJ | 112616 | 104800 | 98187 | 58 |
Electricity Intensity (Changsha IFS) | GJ/occupancy rate | 2.813 | 23 | ||
Electricity Intensity (Chengdu IFS) | GJ/occupancy rate | 3.532 | 23 | ||
Energy Consumption (Changsha IFS) | GJ | 248872 | 23 | ||
Energy Consumption (Chengdu IFS) | GJ | 342761 | 23 | ||
Energy consumption per HK$ million revenues | 59.18 | 79.68 | 69.7 | 58 | |
Energy consumption per number of employee | 259.59 | 271.9 | 259.4 | 58 | |
Energy intensity in GJ per GFA m² - Corporate Office | GJ/m² | 0.53 | 0.57 | 0.59 | 25 |
Energy intensity in GJ per GFA m² - DP | GJ/m² | 0.45 | 0.43 | 0.43 | 25 |
Energy intensity in GJ per GFA m² - IP | GJ/m² | 0.38 | 0.41 | 0.4 | 25 |
Energy intensity in GJ per TEU - Logistics | GJ/TEU | 0.06 | 0.06 | 0.05 | 25 |
Energy intensity in GJ per guest night - Managed Hotels | GJ/guest night | 0.4 | 0.4 | 0.4 | 25 |
Energy intensity in GJ per guest night - Wharf Hotels | GJ/guest night | 0.35 | 0.33 | 0.28 | 25 |
Liquefied petroleum gas (LPG) energy consumption total | GJ | 6991 | 6887 | 7141 | 58 |
Piped natural gas (PNG) energy consumption total | GJ | 113475 | 143601 | 119161 | 58 |
Purchased electricity energy consumption total | GJ | 1007156 | 1074261 | 1199880 | 58 |
Purchased steam energy consumption total | GJ | 8845 | 39028 | 58 | |
Sand (Total) | tonnes | 6345.86 | 61 | ||
Total energy consumption | GJ | 1246047 | 1344566 | 1469009 | 58 |
Towngas energy consumption total | GJ | 2623 | 2564 | 2452 | 58 |
Unleaded petrol energy consumption total | GJ | 3186 | 3248 | 3160 | 58 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Captured rainwater (m³) - IP | m³ | 943 | 2317 | 7323 | 59 |
Municipal water (m³) - DP | m³ | 565 | 3629 | 2753 | 59 |
Municipal water (m³) - IP | m³ | 1818115 | 2115736 | 2073913 | 59 |
Municipal water (m³) - MTL | m³ | 74134 | 71303 | 66205 | 59 |
Municipal water (m³) - Managed Hotels | m³ | 278896 | 59 | ||
Municipal water (m³) - Total | m³ | 2160685 | 2529529 | 2684429 | 59 |
Municipal water (m³) - Wharf Hotels | m³ | 267871 | 338861 | 262662 | 59 |
Recycled water (m³) - DP | m³ | 888 | 59 | ||
Recycled water (m³) - IP | m³ | 12952 | 6189 | 5942 | 59 |
Recycled water (m³) - Total | m³ | 13084 | 7077 | 59 | |
Recycled water (m³) - Wharf Hotels | m³ | 132 | 59 | ||
Underground water (m³) - IP | m³ | 106054 | 93605 | 44278 | 59 |
Water Intensity (Changsha IFS) | m3/m2/occupancy rate | 1.12 | 23 | ||
Water Intensity (Chengdu IFS) | m3/m2/occupancy rate | 1.2 | 23 | ||
Water consumption per HK$1 million revenues | 108.32 | 156.01 | 130.59 | 59 | |
Water consumption per number of employee | 475.16 | 532.36 | 484.19 | 59 | |
Water intensity (DP) in m³ per GFA m² | m³/GFA m² | 0.19 | 0.23 | 0.2 | 28 |
Water intensity (IP) in m³ per GFA m² | m³/GFA m² | 0.86 | 0.97 | 0.87 | 28 |
Water intensity (Logistics) in m³ per TEU | m³/TEU | 0.0142 | 0.0145 | 0.0125 | 28 |
Water intensity (Managed Hotels) in m³ per guest night | m³/guest night | 1.1 | 28 | ||
Water intensity (Wharf Hotels) in m³ per guest night | m³/guest night | 1.02 | 1.04 | 0.81 | 28 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Bricks (DP) | tonnes | 66.6 | 61 |
Bricks (IP) | tonnes | 18156.01 | 61 |
Bricks (Total) | tonnes | 18229.55 | 61 |
Bricks (Wharf Hotels) | tonnes | 3.5 | 61 |
Paper (Total) | tonnes | 249.67 | 61 |
Reinforcing Steel Bars (DP) | tonnes | 8538.7 | 61 |
Reinforcing Steel Bars (IP) | tonnes | 24763.4 | 61 |
Reinforcing Steel Bars (Total) | tonnes | 33302.41 | 61 |
Steel (Total) | tonnes | 4385.8 | 61 |
Stones (IP) | tonnes | 6762.19 | 61 |
Stones (Managed Hotels) | tonnes | 0.1 | 61 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
New employee hires, 30–50, DP | 21 | 65 | |
New employee hires, 30–50, IP | 94 | 65 | |
New employee hires, 30–50, MTL | 23 | 65 | |
New employee hires, 30–50, Managed Hotels | 45 | 65 | |
New employee hires, 30–50, Total | 316 | 65 | |
New employee hires, 30–50, WL | 10 | 65 | |
New employee hires, 30–50, Wharf Hotels | 123 | 65 | |
New employee hires, 51 or above, IP | 2 | 65 | |
New employee hires, 51 or above, Managed Hotels | 5 | 65 | |
New employee hires, 51 or above, Total | 22 | 65 | |
New employee hires, 51 or above, Wharf Hotels | 15 | 65 | |
New employee hires, Below 30, DP | 26 | 65 | |
New employee hires, Below 30, IP | 126 | 65 | |
New employee hires, Below 30, MTL | 25 | 65 | |
New employee hires, Below 30, Managed Hotels | 63 | 65 | |
New employee hires, Below 30, Total | 445 | 65 | |
New employee hires, Below 30, WL | 5 | 65 | |
New employee hires, Below 30, Wharf Hotels | 200 | 65 | |
New employee hires, Female, DP | 25 | 65 | |
New employee hires, Female, IP | 124 | 65 | |
New employee hires, Female, MTL | 11 | 65 | |
New employee hires, Female, Managed Hotels | 45 | 65 | |
New employee hires, Female, Total | 401 | 65 | |
New employee hires, Female, WL | 7 | 65 | |
New employee hires, Female, Wharf Hotels | 189 | 65 | |
New employee hires, Male, DP | 22 | 65 | |
New employee hires, Male, IP | 98 | 65 | |
New employee hires, Male, MTL | 37 | 65 | |
New employee hires, Male, Managed Hotels | 68 | 65 | |
New employee hires, Male, Total | 382 | 65 | |
New employee hires, Male, WL | 8 | 65 | |
New employee hires, Male, Wharf Hotels | 149 | 65 | |
Regional distribution of new employee hires, Hong Kong SAR | 98 | 65 | |
Regional distribution of new employee hires, Mainland China | 685 | 65 | |
Regional distribution of new employee hires, Overall | 783 | 65 | |
Sand (Managed Hotels) | tonnes | 2.1 | 61 |
Sand (WL) | tonnes | 48.14 | 61 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Absentee rate, Male, MTL | % | 1.88 | 65 | ||
Absentee rate, Male, Managed Hotels | % | 0.84 | 65 | ||
Absentee rate, Male, Overall | % | 1.05 | 65 | ||
Absentee rate, Male, WL | % | 2.55 | 65 | ||
Absentee rate, Male, Wharf Hotels | % | 0.58 | 65 | ||
Absentee rate, Overall | % | 1.32 | 1.28 | 1.04 | 66 |
Employee turnover - 30–50 - DP | 74 | 64 | |||
Employee turnover - 30–50 - IP | 136 | 64 | |||
Employee turnover - 30–50 - MTL | 17 | 64 | |||
Employee turnover - 30–50 - Managed Hotels | 170 | 64 | |||
Employee turnover - 30–50 - Total | 436 | 564 | 561 | 64 | |
Employee turnover - 30–50 - WL | 10 | 64 | |||
Employee turnover - 30–50 - Wharf Hotels | 154 | 64 | |||
Employee turnover - 51 or above - DP | 1 | 64 | |||
Employee turnover - 51 or above - IP | 12 | 64 | |||
Employee turnover - 51 or above - MTL | 41 | 64 | |||
Employee turnover - 51 or above - Managed Hotels | 44 | 64 | |||
Employee turnover - 51 or above - Total | 55 | 85 | 119 | 64 | |
Employee turnover - 51 or above - WL | 2 | 64 | |||
Employee turnover - 51 or above - Wharf Hotels | 19 | 64 | |||
Employee turnover - Below 30 - DP | 19 | 64 | |||
Employee turnover - Below 30 - IP | 115 | 64 | |||
Employee turnover - Below 30 - MTL | 12 | 64 | |||
Employee turnover - Below 30 - Managed Hotels | 152 | 64 | |||
Employee turnover - Below 30 - Total | 631 | 761 | 510 | 64 | |
Employee turnover - Below 30 - WL | 1 | 64 | |||
Employee turnover - Below 30 - Wharf Hotels | 211 | 64 | |||
Employee turnover - Female - DP | 50 | 64 | |||
Employee turnover - Female - IP | 149 | 64 | |||
Employee turnover - Female - MTL | 9 | 64 | |||
Employee turnover - Female - Managed Hotels | 193 | 64 | |||
Employee turnover - Female - Total | 656 | 765 | 610 | 64 | |
Employee turnover - Female - WL | 8 | 64 | |||
Employee turnover - Female - Wharf Hotels | 201 | 64 | |||
Employee turnover - Male - DP | 44 | 64 | |||
Employee turnover - Male - IP | 114 | 64 | |||
Employee turnover - Male - MTL | 61 | 64 | |||
Employee turnover - Male - Managed Hotels | 173 | 64 | |||
Employee turnover - Male - Total | 526 | 645 | 580 | 64 | |
Employee turnover - Male - WL | 5 | 64 | |||
Employee turnover - Male - Wharf Hotels | 183 | 64 | |||
Parental leave - Retention rate - Female - DP | % | 89 | 87 | 64 | |
Parental leave - Retention rate - Female - IP | % | 96 | 90 | 64 | |
Parental leave - Retention rate - Female - MTL | % | 100 | 100 | 64 | |
Parental leave - Retention rate - Female - Managed Hotels | % | 92 | 64 | ||
Parental leave - Retention rate - Female - Overall | % | 89 | 87 | 64 | |
Parental leave - Retention rate - Female - WL | % | 100 | 64 | ||
Parental leave - Retention rate - Female - Wharf Hotels | % | 80 | 73 | 64 | |
Parental leave - Retention rate - Male - DP | % | 87 | 67 | 64 | |
Parental leave - Retention rate - Male - IP | % | 92 | 93 | 64 | |
Parental leave - Retention rate - Male - MTL | % | 87 | 100 | 64 | |
Parental leave - Retention rate - Male - Overall | % | 90 | 90 | 64 | |
Parental leave - Retention rate - Male - Wharf Hotels | % | 91 | 94 | 64 | |
Parental leave - Return to work rate - DP | % | 100 | 100 | 100 | 64 |
Parental leave - Return to work rate - IP | % | 100 | 99 | 100 | 64 |
Parental leave - Return to work rate - MTL | % | 100 | 100 | 100 | 64 |
Parental leave - Return to work rate - Managed Hotels | % | 100 | 64 | ||
Parental leave - Return to work rate - Overall | % | 100 | 98 | 99 | 64 |
Parental leave - Return to work rate - WL | % | 100 | 100 | 64 | |
Parental leave - Return to work rate - Wharf Hotels | % | 100 | 94 | 95 | 64 |
Regional employee turnover - Hong Kong SAR | 192 | 210 | 127 | 64 | |
Regional employee turnover - Mainland China | 990 | 1200 | 1063 | 64 | |
Regional employee turnover - Overall | 1182 | 1410 | 1190 | 64 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Lost day rate, Female, IP | % | 0.03 | 65 | ||
Lost day rate, Female, Managed Hotels | % | 0.07 | 65 | ||
Lost day rate, Female, Overall | % | 0.04 | 65 | ||
Lost day rate, Female, Wharf Hotels | % | 0.05 | 65 | ||
Lost day rate, Hong Kong SAR | % | 0.25 | 0.35 | 0.23 | 66 |
Lost day rate, Mainland China | % | 0.1 | 0.08 | 0.04 | 66 |
Lost day rate, Male, IP | % | 0.02 | 65 | ||
Lost day rate, Male, MTL | % | 0.26 | 65 | ||
Lost day rate, Male, Managed Hotels | % | 0.06 | 65 | ||
Lost day rate, Male, Overall | % | 0.13 | 65 | ||
Lost day rate, Male, WL | % | 1.26 | 65 | ||
Lost day rate, Male, Wharf Hotels | % | 0.06 | 65 | ||
Lost day rate, Overall | % | 0.16 | 0.16 | 0.09 | 66 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Absentee rate, Female, DP | % | 0.82 | 65 | ||
Absentee rate, Female, IP | % | 1.17 | 65 | ||
Absentee rate, Female, MTL | % | 2.15 | 65 | ||
Absentee rate, Female, Managed Hotels | % | 0.85 | 65 | ||
Absentee rate, Female, Overall | % | 1.03 | 65 | ||
Absentee rate, Female, WL | % | 1.05 | 65 | ||
Absentee rate, Female, Wharf Hotels | % | 0.78 | 65 | ||
Absentee rate, Hong Kong SAR | % | 1.85 | 2.12 | 1.75 | 66 |
Absentee rate, Mainland China | % | 0.96 | 0.89 | 0.78 | 66 |
Absentee rate, Male, DP | % | 0.25 | 65 | ||
Absentee rate, Male, IP | % | 0.67 | 65 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Percentage of female employees trained, Overall | % | 91.3% | 87.9% | 66 |
Percentage of general staff trained, Overall | % | 89.7% | 83.3% | 66 |
Percentage of male employees trained, Overall | % | 88.6% | 78.1% | 66 |
Percentage of middle management trained, Overall | % | 91.6% | 74.6% | 66 |
Percentage of senior management trained, Overall | % | 79.1% | 91.1% | 66 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Average number of training hours per employee, Overall | hours | 25 | 22.5 | 42.5 | 66 |
Average number of training hours per employee, female, Overall | hours | 26.2 | 24.8 | 40.7 | 66 |
Average number of training hours per employee, general staff, Overall | hours | 24.9 | 22.3 | 45.9 | 66 |
Average number of training hours per employee, male, Overall | hours | 25 | 22.5 | 42.5 | 66 |
Average number of training hours per employee, middle management, Overall | hours | 30.5 | 30.8 | 14.9 | 66 |
Average number of training hours per employee, senior management, Overall | hours | 11.8 | 18.9 | 14.8 | 66 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Granite (IP) | tonnes | 1273 | 61 |
Granite (Managed Hotels) | tonnes | 0.05 | 61 |
Granite (Total) | tonnes | 1284.65 | 61 |
Granite (Wharf Hotels) | tonnes | 2.52 | 61 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Others (IP) | tonnes | 0.18 | 61 |
Sand (IP) | tonnes | 6295.62 | 61 |
Wood (IP) | tonnes | 610561.41 | 61 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 13522 | 21147 | 15528 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 137206 | 188002 | 157404 |
Total GHG Emissions | tonnes CO2e | 188862 | 207959 | 225116 |
Total GHG Emissions Intensity (By Area) | tonnes CO2e per GFA m2 | 0.07 | 0.06 | 0.06 |
Total GHG Emissions Intensity (By Container Volume) | tonnes CO2e per TEU | 0.006 | 0.007 | 0.005 |
Total GHG Emissions Intensity (By Employee) | tonnes CO2e per employee | 39.35 | 42.05 | 39.75 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2e per HK$1 million revenues | 8.97 | 12.32 | 10.72 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 15376 | 14680 | 13221 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Diversion Rate of Non-Hazardous Waste | percent | 18.17 | 23.35 | 12.84 |
Glass Waste | tonnes | 6.61 | 2.83 | |
Non-Hazardous Waste Incineration | tonnes | 5757.86 | ||
Non-Hazardous Waste Landfilling | tonnes | 16117.66 | 18499.58 | 14614.97 |
Non-Hazardous Waste Recycled | tonnes | 3696.23 | 5661.66 | 3107.31 |
Paper Waste | tonnes | 445.5 | 453.84 | 249.67 |
Plastic Waste | tonnes | 9.76 | ||
Recycling Rate of Non-Hazardous Waste | percent | 18.17 | 23.35 | 12.84 |
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 | 2020 |
---|---|---|
Paper consumption reduction at DP | reduction compared to 2019 | 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).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Diesel Fuel Consumption | GJ | 112616 | 104800 | 98187 |
Energy Consumption Intensity (By Area) | GJ/m² | 0.53 | 0.57 | 0.59 |
Energy Consumption Intensity (By Employee) | 259.59 | 271.9 | 259.4 | |
Energy Consumption Intensity (By Revenue) | 59.18 | 79.68 | 69.7 | |
Gasoline Consumption | GJ | 3186 | 3248 | 3160 |
LPG Consumption | GJ | 6991 | 6887 | 7141 |
Natural Gas Consumption | GJ | 113475 | 143601 | 119161 |
Purchased Electricity | GJ | 1007156 | 1074261 | 1199880 |
Purchased Steam | GJ | 8845 | 39028 | |
Total Energy Consumption | GJ | 1246047 | 1344566 | 1469009 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Groundwater Withdrawal | m³ | 106054 | 93605 | 44278 |
Municipal Water Consumption | m³ | 2160685 | 2529529 | 2684429 |
Recycled Water Usage | m³ | 13084 | 7077 | 5942 |
Water Consumption Intensity (By Revenue) | m³/HK$1 million | 108.32 | 156.01 | 130.59 |
Water Withdrawal Intensity | m³/GFA m² | 0.86 | 0.23 | 0.2 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of New Employees | 783 | |
Number of New Employees (Above 50) | 22 | |
Number of New Employees (Aged 30-50) | 316 | |
Number of New Employees (Aged Below 30) | 445 | |
Number of New Employees (Female) | 401 | |
Number of New Employees (Hong Kong) | 98 | |
Number of New Employees (Mainland China) | 685 | |
Number of New Employees (Male) | 382 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | 436 | 564 | 561 | |
Turnover Rate of Employees Aged Above 50 | 55 | 85 | 119 | |
Turnover Rate of Employees Aged Below 30 | 631 | 761 | 510 | |
Turnover Rate of Employees in Hong Kong | 192 | 210 | 127 | |
Turnover Rate of Employees in Hong Kong and Mainland China | 1182 | 1410 | 1190 | |
Turnover Rate of Employees in Mainland China | 990 | 1200 | 1063 | |
Turnover Rate of Female Employees | 656 | 765 | 610 | |
Turnover Rate of Male Employees | 526 | 645 | 580 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | % | 0.16 | 0.16 | 0.09 |
Lost Days Due to Work-related Injuries (Hong Kong) | % | 0.25 | 0.35 | 0.23 |
Lost Days Due to Work-related Injuries (Mainland China) | % | 0.1 | 0.08 | 0.04 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Percentage of Employees Trained | % | 89.7 | 83.3 |
Percentage of Trained Female Employees | % | 91.3 | 87.9 |
Percentage of Trained General Employees | % | 89.7 | 83.3 |
Percentage of Trained Male Employees | % | 88.6 | 78.1 |
Percentage of Trained Middle Management | % | 91.6 | 74.6 |
Percentage of Trained Senior Management | % | 79.1 | 91.1 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 26.2 | 24.8 | 40.7 |
Average Training Hours (General Staff) | hours | 24.9 | 22.3 | 45.9 |
Average Training Hours (Male) | hours | 25 | 22.5 | 42.5 |
Average Training Hours (Middle Management) | hours | 30.5 | 30.8 | 14.9 |
Average Training Hours (Senior Management) | hours | 11.8 | 18.9 | 14.8 |
Average Training Hours per Employee | hours | 25 | 22.5 | 42.5 |