Sustainability Report 2020

Company: WHARF REIC (1997)
Year: 2020
Published: 2021-05-21
Status: Processed
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Extracted ESG KPIs

KPIs are organized by ESG aspects.

The types of emissions and respective emissions data.

Indicator Unit 2018 2019 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. 70
Reduced amount of NOx emission from the 'Star' Ferry tonnes 50.07 48.71 47.12 5

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 - Investment Properties - WEL tonnes CO2e 439 410 1636 55
Direct (Scope 1) GHG Emissions - Investment Properties - WESPL tonnes CO2e 1587 55
Direct (Scope 1) GHG Emissions - Investment Properties - WH tonnes CO2e 1 1 0.47 55
Direct (Scope 1) GHG Emissions - Leisure and Hospitality - HK Hospitality tonnes CO2e 1734 1747 1239 55
Direct (Scope 1) GHG Emissions - Leisure and Hospitality - MPCZ tonnes CO2e 968 833 411 55
Direct (Scope 1) GHG Emissions - Logistics - SF tonnes CO2e 4326 4158 3397 55
Direct (Scope 1) GHG Emissions - Total tonnes CO2e 7468 7149 8270 55
GHG Emissions in tonnes CO2e - Scope 1 tonnes CO2e 7468 7149 8270 21
GHG Emissions in tonnes CO2e - Scope 2 tonnes CO2e 125449 123913 90593 21
GHG Intensity by number of employee tonnes CO2e/unit 44.63 45.51 35.56 55
GHG Intensity by revenue (HK$ million) tonnes CO2e/unit 8.31 8.17 6.38 55
GHG emissions in kg CO2e per passenger-km - The 'Star' Ferry kg CO2e per passenger-km 0.16 0.17 0.32 21
GHG emissions in tonnes CO2e per GFA m² - Crawford House tonnes CO2e per GFA m² 0.1 0.1 0.09 21
GHG emissions in tonnes CO2e per GFA m² - Harbour City, Times Square and Plaza Hollywood tonnes CO2e per GFA m² 0.12 0.13 0.13 21
GHG emissions in tonnes CO2e per GFA m² - Pacific Club tonnes CO2e per GFA m² 0.17 0.18 0.11 21
GHG emissions in tonnes CO2e per GFA m² - Wheelock Place and Scotts Square tonnes CO2e per GFA m² 0.03 0.03 0.02 21
GHG emissions in tonnes CO2e per guest night - Marco Polo Changzhou tonnes CO2e per guest night 0.03 0.04 0.11 21
GHG emissions in tonnes CO2e per guest night - Marco Polo Hotels tonnes CO2e per guest night 0.06 0.09 0.08 21
GHG emissions in tonnes CO2e per guest night - The Murray tonnes CO2e per guest night 0.12 0.11 0.16 21
Indirect (Scope 2) GHG Emissions - Investment Properties - CH tonnes CO2e 3064 3232 2198 55
Indirect (Scope 2) GHG Emissions - Investment Properties - WEL tonnes CO2e 89320 87915 63490 55
Indirect (Scope 2) GHG Emissions - Investment Properties - WESPL tonnes CO2e 3708 55
Indirect (Scope 2) GHG Emissions - Investment Properties - WH tonnes CO2e 3008 3068 2608 55
Indirect (Scope 2) GHG Emissions - Leisure and Hospitality - HK Hospitality tonnes CO2e 24608 24290 15061 55
Indirect (Scope 2) GHG Emissions - Leisure and Hospitality - MPCZ tonnes CO2e 4861 4803 3154 55
Indirect (Scope 2) GHG Emissions - Logistics - SF tonnes CO2e 588 605 474 55
Indirect (Scope 2) GHG Emissions - Total tonnes CO2e 125449 123913 90693 55
Reduced greenhouse gas emissions tonnes CO2e 132917 131062 98963 5
Total GHG emissions by operation in percentage - Investment Properties percentage 76% 21
Total GHG emissions by operation in percentage - Leisure and Hospitality percentage 20% 21
Total GHG emissions by operation in percentage - Logistics percentage 4% 21

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
Other hazardous waste - Total tonnes 44.95 37.92 6.94 56
Reduced total waste generation tonnes 29082.05 23787.99 15758.29 5
Waste cooking oil (hazardous waste) - Total tonnes 4575.25 5121.61 3337.16 56
Waste industrial oil (hazardous waste) - Total tonnes 4.09 3.93 2.52 56

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
Clothes collected for recycling - Total tonnes 2.01 1.53 0.65 56
Food waste collected for recycling - Total tonnes 596.97 833.05 445.96 56
General refuse to landfill - Total tonnes 22829.93 15774.38 9882.47 56
Glass collected for recycling - Total tonnes 53.98 72 21.34 56
Grand total waste (General refuse + Incinerated waste + Waste collected for recycling) - Total tonnes 29082.05 23787.99 15785.29 56
Incinerated waste - Total tonnes 129.89 141.19 883.16 56
Metals collected for recycling - Total tonnes 39.67 43.6 37.35 56
Soap collected for recycling - Total tonnes 0.51 0.32 0.08 56
Waste paper collected for recycling - Total tonnes 1755.04 1746.74 1234.4 56

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
Plastics collected for recycling - Total tonnes 7.76 9.02 6.26 56

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
Diesel oil - Total GJ 255 458 155 54
Energy Total GJ 869154 849955 771894 54
Energy consumption by operation - Investment Properties GJ 597961 587177 577261 20
Energy consumption by operation - Leisure and Hospitality GJ 215652 209479 150465 20
Energy consumption by operation - Logistics GJ 55541 53299 44168 20
Energy consumption by type - Marine gas oil GJ 52302 50206 41068 20
Energy consumption by type - Other (diesel oil, unleaded petrol, LPG and solar energy) GJ 1331 880 357 20
Energy consumption by type - PNG GJ 29429 28874 20516 20
Energy consumption by type - Purchased electricity GJ 770502 756698 703242 20
Energy consumption by type - Towngas GJ 15590 13477 6711 20
Energy intensity by number of employee GJ/unit 291.86 295.12 277.36 54
Energy intensity by revenue (HK$ million) GJ/unit 54.32 52.98 49.75 54
Energy intensity in GJ per GFA m² - Crawford House GJ/m² 0.56 0.57 0.56 20
Energy intensity in GJ per GFA m² - Harbour City, Times Square and Plaza Hollywood GJ/m² 0.65 0.62 0.63 20
Energy intensity in GJ per GFA m² - Pacific Club GJ/m² 0.31 0.3 0.26 20
Energy intensity in GJ per GFA m² - Wheelock House GJ/m² 0.62 0.56 0.58 20
Energy intensity in GJ per GFA m² - Wheelock Place and Scotts Square GJ/m² 0.56 0.54 0.54 20
Energy intensity in GJ per guest night - Marco Polo Changzhou GJ/guest night 0.25 0.28 1.11 20
Energy intensity in GJ per guest night - Marco Polo Hotels GJ/guest night 0.55 0.64 0.84 20
Energy intensity in GJ per guest night - The Murray GJ/guest night 0.44 0.52 0.54 20
Energy intensity in GJ per passenger-km - The 'Star' Ferry GJ/passenger-km 0.0017 0.0018 0.0033 20
Liquefied petroleum gas ("LPG") - Total GJ 84 40 38 54
Marine gas oil - Total GJ 52302 50026 41068 54
Piped natural gas ("PNG") - Total GJ 15590 13477 6711 54
Purchased electricity - Total GJ 770502 756698 703242 54
Reduced total energy consumption GJ 869154 849955 771894 5
Towngas - Total GJ 29429 28874 20516 54
Unleaded petrol - Total GJ 481 382 164 54

Water consumption in total and intensity (e.g. per unit of production volume, per facility).

Indicator Unit 2018 2019 2020 Report Pages
Municipal Water Consumption - Investment Properties - CH m3 23383 26394 26676 55
Municipal Water Consumption - Investment Properties - WEL m3 393781 487975 389407 55
Municipal Water Consumption - Investment Properties - WESPL m3 42628 55
Municipal Water Consumption - Investment Properties - WH m3 17876 21388 18349 55
Municipal Water Consumption - Leisure and Hospitality - HK Hospitality m3 389447 373998 255680 55
Municipal Water Consumption - Leisure and Hospitality - MPCZ m3 84170 79070 47000 55
Municipal Water Consumption - Logistics - SF m3 6647 6215 6223 55
Municipal Water Consumption - Total m3 915304 995040 785963 55
Recycled Water Consumption - Investment Properties - WESPL m3 35434 55
Recycled Water Consumption - Total m3 35434 55
Reduced water consumption from leisure and hospitality m³ 473617 453068 302680 5
Water Intensity by number of employee m3/unit 307.36 345.5 295.15 55
Water Intensity by revenue (HK$ million) m3/unit 57.21 62.02 52.94 55
Water consumption by operation - Investment Properties m³ 6647 6215 6223 22
Water consumption by operation - Leisure and Hospitality m³ 435040 535757 512494 22
Water consumption by operation - Logistics m³ 473617 453068 302600 22
Water discharge by operation to a third party - Investment Properties m³ 6647 6215 6223 22
Water discharge by operation to a third party - Leisure and Hospitality m³ 266367 352868 343611 22
Water discharge by operation to a third party - Logistics m³ 434165 374924 238587 22
Water intensity in m³ per GFA m² - Crawford House m³/GFA m² 0.73 0.88 0.75 22
Water intensity in m³ per GFA m² - Harbour City, Times Square and Plaza Hollywood m³/GFA m² 1.06 0.96 0.67 22
Water intensity in m³ per GFA m² - Pacific Club m³/GFA m² 0.73 0.88 1.33 22
Water intensity in m³ per GFA m² - Wheelock House m³/GFA m² 0.45 0.54 0.43 22
Water intensity in m³ per GFA m² - Wheelock Place and Scotts Square m³/GFA m² 1.33 1.5 1.52 22
Water intensity in m³ per guest night - Marco Polo Changzhou m³/guest night 1.51 1.32 2.01 22
Water intensity in m³ per guest night - Marco Polo Hotels m³/guest night 0.91 0.87 1.12 22
Water intensity in m³ per guest night - Pacific Club m³/guest night 1.38 22
Water intensity in m³ per guest night - The Murray m³/guest night 0.63 0.58 0.58 22

Description of energy use efficiency target(s) set and steps taken to achieve them.

Indicator Unit 2020 Report Pages
Electricity saving from shutting down chillers at Plaza Hollywood kWh 684978 19

Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.

Indicator Unit 2018 2019 2020 Report Pages
Age distribution of employees, General Staff, 30-50 % 48 31
Age distribution of employees, General Staff, 51 or above % 30 31
Age distribution of employees, General Staff, Below 30 % 22 31
Age distribution of employees, Middle Management, 30-50 % 79 31
Age distribution of employees, Middle Management, 51 or above % 19 31
Age distribution of employees, Middle Management, Below 30 % 2 31
Age distribution of employees, Senior Management, 30-50 % 54 31
Age distribution of employees, Senior Management, 51 or above % 46 31
Gender distribution of General Staff, Female % 45 46 46 30
Gender distribution of General Staff, Male % 55 54 54 30
Gender distribution of Middle Management, Female % 42 40 44 30
Gender distribution of Middle Management, Male % 58 60 56 30
Gender distribution of Senior Management, Female % 41 36 40 30
Gender distribution of Senior Management, Male % 59 64 60 30
HK Hospitality General Staff - 30–50 percent 53.0% 58
HK Hospitality General Staff - 51 or above percent 26.8% 58
HK Hospitality General Staff - Below 30 percent 20.2% 58
HK Hospitality General Staff - Female percent 48.1% 58
HK Hospitality General Staff - Male percent 51.9% 58
HK Hospitality General Staff - Minority group percent 6.8% 58
HK Hospitality General Staff - Non-minority group percent 93.2% 58
HK Hospitality Middle management - 30–50 percent 75.7% 58
HK Hospitality Middle management - 51 or above percent 20.8% 58
HK Hospitality Middle management - Below 30 percent 3.5% 58
HK Hospitality Middle management - Female percent 38.2% 58
HK Hospitality Middle management - Male percent 61.8% 58
HK Hospitality Middle management - Minority group percent 2.1% 58
HK Hospitality Middle management - Non-minority group percent 97.9% 58
HK Hospitality Senior management - 30–50 percent 50.0% 58
HK Hospitality Senior management - 51 or above percent 50.0% 58
HK Hospitality Senior management - Below 30 percent 0.0% 58
HK Hospitality Senior management - Female percent 35.3% 58
HK Hospitality Senior management - Male percent 64.7% 58
HK Hospitality Senior management - Minority group percent 41.2% 58
HK Hospitality Senior management - Non-minority group percent 58.8% 58
MPCZ General Staff - 30–50 percent 59.1% 58
MPCZ General Staff - 51 or above percent 18.9% 58
MPCZ General Staff - Below 30 percent 22.0% 58
MPCZ General Staff - Female percent 53.0% 58
MPCZ General Staff - Male percent 47.0% 58
MPCZ General Staff - Minority group percent 1.2% 58
MPCZ General Staff - Non-minority group percent 98.8% 58
MPCZ Middle management - 30–50 percent 100.0% 58
MPCZ Middle management - 51 or above percent 0.0% 58
MPCZ Middle management - Below 30 percent 0.0% 58
MPCZ Middle management - Female percent 50.0% 58
MPCZ Middle management - Male percent 50.0% 58
MPCZ Middle management - Minority group percent 10.0% 58
MPCZ Middle management - Non-minority group percent 90.0% 58
MPCZ Senior management - 30–50 percent 100.0% 58
MPCZ Senior management - 51 or above percent 0.0% 58
MPCZ Senior management - Below 30 percent 0.0% 58
MPCZ Senior management - Female percent 40.0% 58
MPCZ Senior management - Male percent 60.0% 58
MPCZ Senior management - Minority group percent 0.0% 58
MPCZ Senior management - Non-minority group percent 100.0% 58
New employee hires - 30–50 - Total 11%, 19%, 25% 386 280 159 59
New employee hires - 51 or above - Total 16%, 19%, 9% 139 155 75 59
New employee hires - Below 30 - Total 34%, 40%, 54% 380 251 181 59
New employee hires - Female - Total 15%, 24%, 33% 436 341 190 59
New employee hires - Hong Kong SAR 15%, 24%, 28% 753 586 377 59
New employee hires - Mainland China 19%, 21%, 58% 152 70 34 59
New employee hires - Male - Total 15%, 22%, 29% 469 345 225 59
New employee hires - Singapore 5% 4 59
New employee hires - Total (regional) 15%, 23%, 30% 905 656 415 59
Overall General Staff - 30–50 percent 48.4% 58
Overall General Staff - 51 or above percent 29.8% 58
Overall General Staff - Below 30 percent 21.8% 58
Overall General Staff - Female percent 45.7% 58
Overall General Staff - Male percent 54.3% 58
Overall General Staff - Minority group percent 4.5% 58
Overall General Staff - Non-minority group percent 95.5% 58
Overall Middle management - 30–50 percent 79.0% 58
Overall Middle management - 51 or above percent 18.9% 58
Overall Middle management - Below 30 percent 2.1% 58
Overall Middle management - Female percent 44.3% 58
Overall Middle management - Male percent 55.7% 58
Overall Middle management - Minority group percent 1.7% 58
Overall Middle management - Non-minority group percent 98.3% 58
Overall Senior management - 30–50 percent 54.0% 58
Overall Senior management - 51 or above percent 46.0% 58
Overall Senior management - Below 30 percent 0.0% 58
Overall Senior management - Female percent 40.0% 58
Overall Senior management - Male percent 60.0% 58
Overall Senior management - Minority group percent 28.0% 58
Overall Senior management - Non-minority group percent 72.0% 58
Permanent contract employees - HK Hospitality - Female 726 685 616 58
Permanent contract employees - HK Hospitality - Male 838 796 707 58
Permanent contract employees - MPCZ - Female 8 7 58
Permanent contract employees - MPCZ - Male 9 8 58
Permanent contract employees - SF - Female 37 22 21 58
Permanent contract employees - SF - Male 252 247 250 58
Permanent contract employees - Total - Female 1192 1154 1128 58
Permanent contract employees - Total - Male 1460 1432 1378 58
Permanent contract employees - WEL - Female 421 440 460 58
Permanent contract employees - WEL - Male 361 381 391 58
Permanent contract employees - WESPL - Female 31 58
Permanent contract employees - WESPL - Male 30 58
SF General Staff - 30–50 percent 17.0% 58
SF General Staff - 51 or above percent 76.1% 58
SF General Staff - Below 30 percent 6.8% 58
SF General Staff - Female percent 7.2% 58
SF General Staff - Male percent 92.8% 58
SF General Staff - Minority group percent 0.8% 58
SF General Staff - Non-minority group percent 99.2% 58
SF Middle management - 30–50 percent 57.1% 58
SF Middle management - 51 or above percent 28.6% 58
SF Middle management - Below 30 percent 14.3% 58
SF Middle management - Female percent 28.6% 58
SF Middle management - Male percent 71.4% 58
SF Middle management - Minority group percent 0.0% 58
SF Middle management - Non-minority group percent 100.0% 58
SF Senior management - 30–50 percent 0.0% 58
SF Senior management - 51 or above percent 0.0% 58
SF Senior management - Below 30 percent 0.0% 58
SF Senior management - Female percent 0.0% 58
SF Senior management - Male percent 0.0% 58
SF Senior management - Minority group percent 0.0% 58
SF Senior management - Non-minority group percent 0.0% 58
WEL General Staff - 30–50 percent 50.7% 58
WEL General Staff - 51 or above percent 20.8% 58
WEL General Staff - Below 30 percent 28.5% 58
WEL General Staff - Female percent 53.9% 58
WEL General Staff - Male percent 46.1% 58
WEL General Staff - Minority group percent 0.0% 58
WEL General Staff - Non-minority group percent 100.0% 58
WEL Middle management - 30–50 percent 85.3% 58
WEL Middle management - 51 or above percent 14.7% 58
WEL Middle management - Below 30 percent 0.0% 58
WEL Middle management - Female percent 45.1% 58
WEL Middle management - Male percent 54.9% 58
WEL Middle management - Minority group percent 0.0% 58
WEL Middle management - Non-minority group percent 100.0% 58
WEL Senior management - 30–50 percent 50.0% 58
WEL Senior management - 51 or above percent 50.0% 58
WEL Senior management - Below 30 percent 0.0% 58
WEL Senior management - Female percent 50.0% 58
WEL Senior management - Male percent 50.0% 58
WEL Senior management - Minority group percent 0.0% 58
WEL Senior management - Non-minority group percent 100.0% 58
WESPL General Staff - 30–50 percent 34.8% 58
WESPL General Staff - 51 or above percent 32.6% 58
WESPL General Staff - Below 30 percent 32.6% 58
WESPL General Staff - Female percent 41.3% 58
WESPL General Staff - Male percent 58.7% 58
WESPL General Staff - Minority group percent 52.2% 58
WESPL General Staff - Non-minority group percent 47.8% 58
WESPL Middle management - 30–50 percent 71.4% 58
WESPL Middle management - 51 or above percent 28.6% 58
WESPL Middle management - Below 30 percent 0.0% 58
WESPL Middle management - Female percent 75.0% 58
WESPL Middle management - Male percent 25.0% 58
WESPL Middle management - Minority group percent 3.6% 58
WESPL Middle management - Non-minority group percent 96.4% 58
WESPL Senior management - 30–50 percent 33.3% 58
WESPL Senior management - 51 or above percent 66.7% 58
WESPL Senior management - Below 30 percent 0.0% 58
WESPL Senior management - Female percent 66.7% 58
WESPL Senior management - Male percent 33.3% 58
WESPL Senior management - Minority group percent 0.0% 58
WESPL Senior management - Non-minority group percent 100.0% 58

Employee turnover rate by gender, age group and geographical region.

Indicator Unit 2018 2019 2020 Report Pages
Absentee rate, Overall, Female % 2.05 61
Absentee rate, Overall, Male % 1.78 61
Absentee rate, Overall, by region % 1.9 61
Absentee rate, Singapore % 3.59 61
Employee turnover - 30–50 - Total 17%, 28%, 29% 447 416 247 59
Employee turnover - 51 or above - Total 21%, 25%, 26% 198 191 171 59
Employee turnover - Below 30 - Total 46%, 54%, 57% 384 401 307 59
Employee turnover - Female - Total 27%, 39%, 40% 535 503 336 59
Employee turnover - Hong Kong SAR number (25%), number (32%), number (35%) 863 864 622 60
Employee turnover - Mainland China number (44%), number (51%), number (63%) 166 144 91 60
Employee turnover - Male - Total 26%, 30%, 32% 494 505 389 59
Employee turnover - Singapore number (16%) 12 60
Employee turnover - Total number (26%), number (35%), number (36%) 1029 1008 725 60
Parental leave - Retention rate by gender - HK Hospitality - Female 71% 100% 60
Parental leave - Retention rate by gender - HK Hospitality - Male 94% 80% 60
Parental leave - Retention rate by gender - MPCZ - Female 100% 75% 60
Parental leave - Retention rate by gender - MPCZ - Male 100% 100% 60
Parental leave - Retention rate by gender - Overall - Female 78% 89% 60
Parental leave - Retention rate by gender - Overall - Male 97% 89% 60
Parental leave - Retention rate by gender - SF - Female 100% 60
Parental leave - Retention rate by gender - SF - Male 100% 60
Parental leave - Retention rate by gender - WEL - Female 80% 88% 60
Parental leave - Retention rate by gender - WEL - Male 100% 100% 60
Parental leave - Return to work rate - HK Hospitality 100% 97% 100% 60
Parental leave - Return to work rate - MPCZ 100% 100% 100% 60
Parental leave - Return to work rate - Overall 100% 98% 100% 60
Parental leave - Return to work rate - SF 100% 100% 60
Parental leave - Return to work rate - WEL 100% 100% 100% 60
Parental leave - Return to work rate - WESPL N/A N/A N/A 60

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
Injury rate per 1000 employees - HK Hospitality - Female 65 51 50 60
Injury rate per 1000 employees - HK Hospitality - Male 69 46 40 60
Injury rate per 1000 employees - Hong Kong SAR 47 38 34 60
Injury rate per 1000 employees - MPCZ - Female 29 24 60
Injury rate per 1000 employees - MPCZ - Male 47 20 35 60
Injury rate per 1000 employees - Mainland China 38 15 17 60
Injury rate per 1000 employees - Overall 46 35 32 60
Injury rate per 1000 employees - Overall - Female 44 35 34 60
Injury rate per 1000 employees - Overall - Male 48 34 30 60
Injury rate per 1000 employees - SF - Female 95 60
Injury rate per 1000 employees - SF - Male 16 32 16 60
Injury rate per 1000 employees - WEL - Female 17 13 19 60
Injury rate per 1000 employees - WEL - Male 21 15 24 60
Reduced injury rate per 1000 employees cases 46 35 32 5

Lost days due to work injury.

Indicator Unit 2020 Report Pages
Lost day rate, Hong Kong SAR % 0.45 61
Lost day rate, Investment Properties, WEL, Female % 0.09 61
Lost day rate, Investment Properties, WEL, Male % 0.04 61
Lost day rate, Leisure and Hospitality, HK Hospitality, Female % 0.55 61
Lost day rate, Leisure and Hospitality, HK Hospitality, Male % 0.91 61
Lost day rate, Leisure and Hospitality, MPCZ, Male % 0.96 61
Lost day rate, Logistics, SF, Female % 0.07 61
Lost day rate, Logistics, SF, Male % 0.15 61
Lost day rate, Mainland China % 0.46 61
Lost day rate, Overall, Female % 0.33 61
Lost day rate, Overall, Male % 0.53 61
Lost day rate, Overall, by region % 0.44 61

Description of occupational health and safety measures adopted, and how they are implemented and monitored.

Indicator Unit 2020 Report Pages
Absentee rate, Hong Kong SAR % 1.91 61
Absentee rate, Investment Properties, WEL, Female % 2.01 61
Absentee rate, Investment Properties, WEL, Male % 1.23 61
Absentee rate, Investment Properties, WESPL, Female % 2.58 61
Absentee rate, Investment Properties, WESPL, Male % 4.55 61
Absentee rate, Leisure and Hospitality, HK Hospitality, Female % 2.26 61
Absentee rate, Leisure and Hospitality, HK Hospitality, Male % 1.98 61
Absentee rate, Leisure and Hospitality, MPCZ, Female % 0.72 61
Absentee rate, Leisure and Hospitality, MPCZ, Male % 1.52 61
Absentee rate, Logistics, SF, Female % 1.63 61
Absentee rate, Logistics, SF, Male % 1.79 61
Absentee rate, Mainland China % 1.1 61

The percentage of employees trained by gender and employee category (e.g. senior management, middle management).

Indicator Unit 2020 Report Pages
Percentage of employees trained - Female - Investment Properties - WEL % 53.1 62
Percentage of employees trained - Female - Investment Properties - WESPL % 28.6 62
Percentage of employees trained - Female - Leisure and Hospitality - HK Hospitality % 78.3 62
Percentage of employees trained - Female - Leisure and Hospitality - MPCZ % 86.2 62
Percentage of employees trained - Female - Logistics - SF % 23.8 62
Percentage of employees trained - Female - Overall % 66.9 62
Percentage of employees trained - General staff - Investment Properties - WEL % 58.2 62
Percentage of employees trained - General staff - Investment Properties - WESPL % 23.9 62
Percentage of employees trained - General staff - Leisure and Hospitality - HK Hospitality % 84 62
Percentage of employees trained - General staff - Leisure and Hospitality - MPCZ % 88.4 62
Percentage of employees trained - General staff - Logistics - SF % 49.2 62
Percentage of employees trained - General staff - Overall % 71.1 62
Percentage of employees trained - Male - Investment Properties - WEL % 67.1 62
Percentage of employees trained - Male - Investment Properties - WESPL % 31.4 62
Percentage of employees trained - Male - Leisure and Hospitality - HK Hospitality % 88.7 62
Percentage of employees trained - Male - Leisure and Hospitality - MPCZ % 92.9 62
Percentage of employees trained - Male - Logistics - SF % 52.4 62
Percentage of employees trained - Male - Overall % 75.6 62
Percentage of employees trained - Middle management - Investment Properties - WEL % 68.6 62
Percentage of employees trained - Middle management - Investment Properties - WESPL % 35.7 62
Percentage of employees trained - Middle management - Leisure and Hospitality - HK Hospitality % 85.4 62
Percentage of employees trained - Middle management - Leisure and Hospitality - MPCZ % 100 62
Percentage of employees trained - Middle management - Logistics - SF % 85.7 62
Percentage of employees trained - Middle management - Overall % 75.3 62
Percentage of employees trained - Senior management - Investment Properties - WEL % 87.5 62
Percentage of employees trained - Senior management - Investment Properties - WESPL % 66.7 62
Percentage of employees trained - Senior management - Leisure and Hospitality - HK Hospitality % 70.6 62
Percentage of employees trained - Senior management - Leisure and Hospitality - MPCZ % 100 62
Percentage of employees trained - Senior management - Overall % 76 62

The average training hours completed per employee by gender and employee category.

Indicator Unit 2020 Report Pages
Average number of training hours per employee - Female - Investment Properties - WEL hours 3 62
Average number of training hours per employee - Female - Investment Properties - WESPL hours 2.8 62
Average number of training hours per employee - Female - Leisure and Hospitality - HK Hospitality hours 25.2 62
Average number of training hours per employee - Female - Leisure and Hospitality - MPCZ hours 4.5 62
Average number of training hours per employee - Female - Logistics - SF hours 0.8 62
Average number of training hours per employee - Female - Overall hours 14.2 62
Average number of training hours per employee - General staff - Investment Properties - WEL hours 9.1 62
Average number of training hours per employee - General staff - Investment Properties - WESPL hours 0.7 62
Average number of training hours per employee - General staff - Leisure and Hospitality - HK Hospitality hours 25.7 62
Average number of training hours per employee - General staff - Leisure and Hospitality - MPCZ hours 4.2 62
Average number of training hours per employee - General staff - Logistics - SF hours 3.3 62
Average number of training hours per employee - General staff - Overall hours 16 62
Average number of training hours per employee - Male - Investment Properties - WEL hours 15.1 62
Average number of training hours per employee - Male - Investment Properties - WESPL hours 1.1 62
Average number of training hours per employee - Male - Leisure and Hospitality - HK Hospitality hours 25 62
Average number of training hours per employee - Male - Leisure and Hospitality - MPCZ hours 5.4 62
Average number of training hours per employee - Male - Logistics - SF hours 3.6 62
Average number of training hours per employee - Male - Overall hours 17.1 62
Average number of training hours per employee - Middle management - Investment Properties - WEL hours 5.6 62
Average number of training hours per employee - Middle management - Investment Properties - WESPL hours 2.7 62
Average number of training hours per employee - Middle management - Leisure and Hospitality - HK Hospitality hours 24.4 62
Average number of training hours per employee - Middle management - Leisure and Hospitality - MPCZ hours 15.5 62
Average number of training hours per employee - Middle management - Logistics - SF hours 6.3 62
Average number of training hours per employee - Middle management - Overall hours 15 62
Average number of training hours per employee - Senior management - Investment Properties - WEL hours 14.3 62
Average number of training hours per employee - Senior management - Investment Properties - WESPL hours 16.4 62
Average number of training hours per employee - Senior management - Leisure and Hospitality - HK Hospitality hours 4.6 62
Average number of training hours per employee - Senior management - Leisure and Hospitality - MPCZ hours 7.6 62
Average number of training hours per employee - Senior management - Overall hours 7.1 62
Total number of training hours provided to employees hours 43894 31
Total number of training hours provided to employees, Female hours 25910 31
Total number of training hours provided to employees, General Staff hours 39177 31
Total number of training hours provided to employees, Male hours 17984 31
Total number of training hours provided to employees, Middle Management hours 4360 31
Total number of training hours provided to employees, Senior Management hours 357 31
Total number of training hours provided to staff of contractors and sub-contractors hours >2200 31

The types of emissions and respective emissions data.

Standard Indicator Unit 2018 2019 2020
NOₓ Emissions tonnes 50.07 48.71 47.12

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 7468 7149 8270
Indirect Energy Emissions (Scope 2) tonnes CO2e 125449 123913 90593
Total GHG Emissions Intensity (By Employee) tonnes CO2e/unit 44.63 45.51 35.56
Total GHG Emissions Intensity (By Revenue) tonnes CO2e/unit 8.31 8.17 6.38

Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2018 2019 2020
Total Hazardous Waste tonnes 4624.29 5163.46 3346.62

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
Glass Waste tonnes 53.98 72 21.34
Non-Hazardous Waste (Kitchen Waste) tonnes 596.97 833.05 445.96
Non-Hazardous Waste Disposed tonnes 22959.82 15915.57 10765.63
Non-Hazardous Waste Incineration tonnes 129.89 141.19 883.16
Non-Hazardous Waste Landfilling tonnes 22829.93 15774.38 9882.47
Non-Hazardous Waste Recycled tonnes 245.97 2326.23 1345.78
Paper Waste tonnes 1755.04 1746.74 1234.4
Plastic Waste tonnes 7.76 9.02 6.26

Description of emissions target(s) set and steps taken to achieve them.

Standard Indicator Unit 2030
CO2 Emissions Reduction Compared to Last Year tonnes CO2
Target GHG Emissions Reduction Percentage by 2030 Compared to 2014 % 30

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 255 458 155
Energy Consumption Intensity (By Area) GJ/m² 0.56 0.57 0.56
Energy Consumption Intensity (By Employee) GJ/unit 291.86 295.12 277.36
Energy Consumption Intensity (By Revenue) GJ/unit 54.32 52.98 49.75
Gasoline Consumption GJ 481 382 164
LPG Consumption GJ 84 40 38
Marine gas oil - Total GJ 52302 50026 41068
Natural Gas Consumption GJ 15590 13477 6711
Purchased Electricity GJ 770502 756698 703242
Total Energy Consumption GJ 869154 849955 771894

Water consumption in total and intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2018 2019 2020
Municipal Water Consumption m3 915304 995040 785963
Recycled Water Percentage percent 4.51
Recycled Water Usage m3 35434
Water Consumption Intensity (By Revenue) m3/unit 57.21 62.02 52.94

Description of energy use efficiency target(s) set and steps taken to achieve them.

Standard Indicator Unit 2020
Electricity Usage Reduction Compared to Last Year kWh 684978
Target Electricity Usage Reduction Percentage by 2030 Compared to 2021 %

Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.

Standard Indicator Unit 2018 2019 2020
Number of Employees in Hong Kong 2445 2445
Number of Employees in Mainland China 1179 1179
Number of Female Employees 1192 1154 1128
Number of Full-time Employees (Female) 1161 1128
Number of Full-time Employees (Male) 1476 1378
Number of Male Employees 1460 1432 1378
Number of New Employees 905 656 415
Number of New Employees (Above 50) 139 155 75
Number of New Employees (Aged 30-50) 386 280 159
Number of New Employees (Aged Below 30) 380 251 181
Number of New Employees (Female) 436 341 190
Number of New Employees (Hong Kong) 753 586 377
Number of New Employees (Mainland China) 152 70 34
Number of New Employees (Male) 469 345 225
Number of New Employees (Singapore) 4
Number of Part-time Employees (Female) 41 41
Number of Part-time Employees (Male) 105 105
Number of Temporary Workers (Female) 134 134
Number of Temporary Workers (Male) 125 125
Number of Total Employees 2652 2586 2506
Percentage of Employees Aged 30-50 % 48.4
Percentage of Employees Aged Above 50 % 29.8
Percentage of Employees Aged Below 30 % 21.8
Percentage of Female Employees % 45.7
Percentage of Male Employees % 54.3
Percentage of New Employees % 30 23 15

Employee turnover rate by gender, age group and geographical region.

Standard Indicator Unit 2018 2019 2020
Percentage of Employees still Employed 12 Months after Return to Work % 87.5 89
Percentage of Employees still Employed 12 Months after Return to Work (Female) % 78 89
Percentage of Employees still Employed 12 Months after Return to Work (Male) % 97 89
Turnover Rate of Employees Aged 30-50 % 29 28 17
Turnover Rate of Employees Aged Above 50 % 26 25 21
Turnover Rate of Employees Aged Below 30 % 54 46 57
Turnover Rate of Employees in Hong Kong % 32 35 25
Turnover Rate of Employees in Mainland China % 63 44 51
Turnover Rate of Employees in Singapore % 16
Turnover Rate of Female Employees % 40 39 27
Turnover Rate of Male Employees % 30 32 26
Turnover Rate of Total Employees % 35 36 26

Lost days due to work injury.

Standard Indicator Unit 2020
Lost Days Due to Work-related Injuries (Hong Kong) % 0.45
Lost Days Due to Work-related Injuries (Mainland China) % 0.46

The percentage of employees trained by gender and employee category (e.g. senior management, middle management).

Standard Indicator Unit 2020
Percentage of Employees Trained % 71.1
Percentage of Trained Female Employees % 66.9
Percentage of Trained General Employees % 71.1
Percentage of Trained Male Employees % 75.6
Percentage of Trained Middle Management % 75.3
Percentage of Trained Senior Management % 76

The average training hours completed per employee by gender and employee category.

Standard Indicator Unit 2020
Average Training Hours (Female) hours 14.2
Average Training Hours (General Staff) hours 16
Average Training Hours (Male) hours 17.1
Average Training Hours (Middle Management) hours 15
Average Training Hours (Senior Management) hours 7.1
Total Training Hours hours 43894

Number of suppliers by geographical region.

Standard Indicator Unit
Proportion of Spending on Local Suppliers %