Sustainability Report 2018

Company: WHARF REIC (1997)
Year: 2018
Published: 2019-06-21
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 Report Pages
Non-compliance with environmental laws and regulations In 2018, the Group received no fines or non-monetary sanctions for incidences of non-compliance. 67

Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).

Indicator Unit 2016 2017 2018 Report Pages
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Investment Properties - WEL tonnes CO2e 6 10 439 53
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Investment Properties - WH tonnes CO2e 1 1 53
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - MPCZ tonnes CO2e 871 968 53
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes CO2e 2489 1477 1734 53
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Logistics - SF tonnes CO2e 3998 4311 4326 53
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Total tonnes CO2e 6493 6670 7468 53
Energy Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Investment Properties - CH tonnes CO2e 2848 3064 53
Energy Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Investment Properties - WEL tonnes CO2e 97399 89441 89001 53
Energy Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Investment Properties - WH tonnes CO2e 2954 3008 53
Energy Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - MPCZ tonnes CO2e 5026 4861 53
Energy Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes CO2e 16754 20487 24608 53
Energy Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Logistics - SF tonnes CO2e 588 515 588 53
Energy Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Total tonnes CO2e 114741 121271 125130 53
GHG Intensity (tonnes CO2e/unit) by number of employee tonnes CO2e/unit 48.7 44.53 53
GHG Intensity (tonnes CO2e/unit) by revenue (millions) tonnes CO2e/million 6.12 8.29 53
GHG emissions in kg CO2e per million passenger-km - The 'Star' Ferry kg CO2e per million passenger-km 0.9 1.93 2.32 26
GHG emissions in tonnes CO2e - Scope 1 tonnes CO2e 6493 6670 7406 26
GHG emissions in tonnes CO2e - Scope 1 (with expanded scope) tonnes CO2e 7468 26
GHG emissions in tonnes CO2e - Scope 2 tonnes CO2e 114741 121271 114741 26
GHG emissions in tonnes CO2e - Scope 2 (with expanded scope) tonnes CO2e 125130 26
GHG emissions in tonnes CO2e per GFA m2 - Crawford House tonnes CO2e per GFA m2 0.23 0.22 0.17 26
GHG emissions in tonnes CO2e per GFA m2 - Harbour City, Times Square and Plaza Hollywood tonnes CO2e per GFA m2 0.12 0.12 0.12 26
GHG emissions in tonnes CO2e per GFA m2 - Pacific Club tonnes CO2e per GFA m2 0.09 0.09 0.03 26
GHG emissions in tonnes CO2e per GFA m2 - Wheelock House tonnes CO2e per GFA m2 0.16 0.16 0.1 26
GHG emissions in tonnes CO2e per guest night - Marco Polo Changzhou tonnes CO2e per guest night 0.025 0.033 0.031 26
GHG emissions in tonnes CO2e per guest night - Marco Polo Hotels tonnes CO2e per guest night 0.1 0.12 0.09 26
GHG emissions in tonnes CO2e per guest night - The Murray tonnes CO2e per guest night 0.12 26

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

Indicator Unit 2017 2018 Report Pages
Cell batteries (Hazardous waste) - Total tonnes 0.18 0.04 55
Electric appliances / components (Hazardous waste) - Total tonnes 4.7 7.93 55
Fluorescent lamps (Hazardous waste) - Total tonnes 39.93 34.47 55
Industrial batteries (Hazardous waste) - Total tonnes 1.96 2.65 55
Light bulbs (Hazardous waste) - Total tonnes 0.46 0.64 55
Waste cooking oil (Hazardous waste) - Total tonnes 3965.41 4157.25 55
Waste industrial oil (Hazardous waste) - Total tonnes 4.4 4.09 55
Waste ink cartridge (Hazardous waste) - Total tonnes 0.5 0.32 55

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

Indicator Unit 2017 2018 Report Pages
Clothes Collected for Recycling - Total tonnes 3.6 2.01 55
Food waste Collected for Recycling - Total tonnes 689.87 603.06 55
General Refuse to Landfill - Total tonnes 21907 22773 55
Glass Collected for Recycling - Total tonnes 37.69 53.98 55
Grand Total Waste (General Refuse + Incinerated + Recycled) - Total tonnes 28120.39 29572.31 55
Incinerated waste - Total tonnes 129.89 55
Metals Collected for Recycling - Total tonnes 23.12 39.67 55
Paper Collected for Recycling - Total tonnes 1436.05 1755.04 55
Soap Collected for Recycling - Total tonnes 1.96 0.51 55

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 2017 2018 Report Pages
Plastics Collected for Recycling - Total tonnes 3.56 7.76 55

Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).

Indicator Unit 2016 2017 2018 Report Pages
Diesel oil consumption (Total) GJ 101 160 255 54
Energy consumption by operation - Investment Properties GJ 595976 571516 595866 23
Energy consumption by operation - Investment Properties (with expanded scope) GJ 595866 23
Energy consumption by operation - Leisure and Hospitality GJ 154484 201835 167218 23
Energy consumption by operation - Leisure and Hospitality (with expanded scope) GJ 215652 23
Energy consumption by operation - Logistics GJ 54482 54918 55541 23
Energy consumption by operation - Logistics (with expanded scope) GJ 55541 23
Energy intensity by number of employee GJ/unit 315.29 291.15 54
Energy intensity by revenue (millions) GJ/unit 39.62 54.19 54
Energy intensity in GJ per GFA m² - Crawford House GJ/m² 0.53 0.55 0.56 24
Energy intensity in GJ per GFA m² - Harbour City, Times Square and Plaza Hollywood GJ/m² 0.72 0.74 0.79 24
Energy intensity in GJ per GFA m² - Pacific Club GJ/m² 1.73 1.64 0.31 24
Energy intensity in GJ per GFA m² - Wheelock House GJ/m² 0.72 0.64 0.56 24
Energy intensity in GJ per guest night - Marco Polo Changzhou GJ/guest night 0.55 24
Energy intensity in GJ per guest night - Marco Polo Hotels GJ/guest night 0.73 0.65 24
Energy intensity in GJ per guest night - The Murray GJ/guest night 0.2 0.26 0.25 24
Energy intensity in GJ per million passenger-km - The 'Star' Ferry GJ/million passenger-km 0.01 0.02 0.03 24
Gas oil consumption GJ 51261 52121 52302 23
Gas oil consumption (Total) GJ 51261 52121 52302 54
Gas oil consumption (with expanded scope) GJ 52302 23
Green energy generated by solar systems on Gateway I and II roofs kWh 66093.12 24
Liquefied petroleum gas (LPG) consumption (Total) GJ 161 164 84 54
Other (Diesel oil, Unleaded petrol, LPG and Solar energy) consumption GJ 1422 1725 1331 23
Other (Diesel oil, Unleaded petrol, LPG and Solar energy) consumption (with expanded scope) GJ 1331 23
PNG consumption GJ 13912 15590 15590 23
PNG consumption (with expanded scope) GJ 15590 23
Piped natural gas (PNG) consumption (Total) GJ 13912 15590 54
Purchased electricity consumption GJ 706104 733364 721129 23
Purchased electricity consumption (Total) GJ 706104 733364 768407 54
Purchased electricity consumption (with expanded scope) GJ 768407 23
Self-generated renewable energy - Solar (Total) GJ 848 839 511 54
Total energy consumption (Total) GJ 804942 828269 867059 54
Towngas consumption GJ 46155 27147 28273 23
Towngas consumption (Total) GJ 46155 27147 29429 54
Towngas consumption (with expanded scope) GJ 29429 23
Unleaded petrol consumption (Total) GJ 312 562 481 54

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

Indicator Unit 2016 2017 2018 Report Pages
Captured rain water (m³) - Leisure and Hospitality - PC, MPH, Apt, The Murray m³ 72 53
Fresh water saving from water savers installed at Harbour City office blocks m³ 36259 27
Municipal water consumption (m³) - Investment Properties - CH m³ 21943 23383 53
Municipal water consumption (m³) - Investment Properties - WEL m³ 472542 438615 393781 53
Municipal water consumption (m³) - Investment Properties - WH m³ 17723 17876 53
Municipal water consumption (m³) - Leisure and Hospitality - MPCZ m³ 87180 84170 53
Municipal water consumption (m³) - Leisure and Hospitality - PC, MPH, Apt, The Murray m³ 378569 303689 389447 53
Municipal water consumption (m³) - Logistics - SF m³ 7318 6187 6647 53
Recycled water (m³) - Investment Properties - WH m³ 1737 53
Water Intensity (m³/unit) by number of employee m³/unit 333.21 307.36 53
Water Intensity (m³/unit) by revenue (millions) m³/million 41.87 57.21 53
Water consumption by operation in m³ (with expanded scope) - Investment Properties m³ 6647 27
Water consumption by operation in m³ (with expanded scope) - Leisure and Hospitality m³ 473617 27
Water consumption by operation in m³ (with expanded scope) - Logistics m³ 435040 27
Water consumption by operation in m³ - Investment Properties m³ 7318 6187 6647 27
Water consumption by operation in m³ - Leisure and Hospitality m³ 378569 390869 418004 27
Water consumption by operation in m³ - Logistics m³ 472542 478281 435040 27
Water discharge by operation to a third party in m³ - Investment Properties m³ 266367 27
Water discharge by operation to a third party in m³ - Leisure and Hospitality m³ 434165 27
Water discharge by operation to a third party in m³ - Logistics m³ 6647 27
Water intensity in m³ per GFA m² - Crawford House m³/GFA m² 0.8 0.73 0.45 27
Water intensity in m³ per GFA m² - Harbour City, Times Square and Plaza Hollywood m³/GFA m² 1.25 1.18 1.06 27
Water intensity in m³ per GFA m² - Pacific Club m³/GFA m² 1.33 1.06 0.45 27
Water intensity in m³ per GFA m² - Wheelock House m³/GFA m² 0.57 0.43 0.45 27
Water intensity in m³ per guest night - Marco Polo Changzhou m³/guest night 0.57 0.53 0.63 27
Water intensity in m³ per guest night - Marco Polo Hotels m³/guest night 1.6 1.34 1.34 27
Water intensity in m³ per guest night - The Murray m³/guest night 0.58 27
Water intensity in m³ per million passenger-km - The 'Star' Ferry m³/million passenger-km 0.0015 0.0029 0.0031 27

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

Indicator Unit 2018 2020 Report Pages
Electricity saving from delamping T514W lighting at Crawford House kWh 109.2 23
Energy saved by chiller replacement and water balancing valve adjustment in some properties kWh 1948933.5 24
Energy saved by replacing 1150TR chiller at Gateway I chiller plant kWh 746544 24
Group electricity consumption reduction target (using 2014 as baseline year) % 12 22

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

Indicator Unit 2016 2017 2018 Report Pages
Age distribution, General Staff, 30-50 46% 32
Age distribution, General Staff, Below 30 27% 32
Age distribution, General Staff, Over 50 27% 32
Age distribution, Group Average, General staff, 30-50 46% 57
Age distribution, Group Average, General staff, Above 50 27% 57
Age distribution, Group Average, General staff, Below 30 27% 57
Age distribution, Group Average, Middle management, 30-50 78% 57
Age distribution, Group Average, Middle management, Above 50 13% 57
Age distribution, Group Average, Middle management, Below 30 9% 57
Age distribution, Group Average, Senior management, 30-50 59% 57
Age distribution, Group Average, Senior management, Above 50 41% 57
Age distribution, Group Average, Senior management, Below 30 0% 57
Age distribution, MPCZ, General staff, 30-50 44% 57
Age distribution, MPCZ, General staff, Above 50 18% 57
Age distribution, MPCZ, General staff, Below 30 38% 57
Age distribution, MPCZ, Middle management, 30-50 65% 57
Age distribution, MPCZ, Middle management, Above 50 1% 57
Age distribution, MPCZ, Middle management, Below 30 34% 57
Age distribution, MPCZ, Senior management, 30-50 80% 57
Age distribution, MPCZ, Senior management, Above 50 20% 57
Age distribution, MPCZ, Senior management, Below 30 0% 57
Age distribution, Middle Management, 30-50 78% 32
Age distribution, Middle Management, Below 30 9% 32
Age distribution, Middle Management, Over 50 13% 32
Age distribution, PC, MPH, Apt, The Murray, General staff, 30-50 50% 57
Age distribution, PC, MPH, Apt, The Murray, General staff, Above 50 21% 57
Age distribution, PC, MPH, Apt, The Murray, General staff, Below 30 29% 57
Age distribution, PC, MPH, Apt, The Murray, Middle management, 30-50 80% 57
Age distribution, PC, MPH, Apt, The Murray, Middle management, Above 50 15% 57
Age distribution, PC, MPH, Apt, The Murray, Middle management, Below 30 5% 57
Age distribution, PC, MPH, Apt, The Murray, Senior management, 30-50 58% 57
Age distribution, PC, MPH, Apt, The Murray, Senior management, Above 50 42% 57
Age distribution, PC, MPH, Apt, The Murray, Senior management, Below 30 0% 57
Age distribution, SF, General staff, 30-50 11% 57
Age distribution, SF, General staff, Above 50 79% 57
Age distribution, SF, General staff, Below 30 10% 57
Age distribution, SF, Middle management, 30-50 50% 57
Age distribution, SF, Middle management, Above 50 50% 57
Age distribution, SF, Middle management, Below 30 0% 57
Age distribution, SF, Senior management, 30-50 0% 57
Age distribution, SF, Senior management, Above 50 100% 57
Age distribution, SF, Senior management, Below 30 0% 57
Age distribution, Senior Management, 30-50 59% 32
Age distribution, Senior Management, Below 30 0% 32
Age distribution, Senior Management, Over 50 41% 32
Age distribution, WEL, General staff, 30-50 52% 57
Age distribution, WEL, General staff, Above 50 20% 57
Age distribution, WEL, General staff, Below 30 28% 57
Age distribution, WEL, Middle management, 30-50 87% 57
Age distribution, WEL, Middle management, Above 50 13% 57
Age distribution, WEL, Middle management, Below 30 0% 57
Age distribution, WEL, Senior management, 30-50 60% 57
Age distribution, WEL, Senior management, Above 50 40% 57
Age distribution, WEL, Senior management, Below 30 0% 57
Board of Directors - Age 30–50 1 16
Board of Directors - Age 30–50 (%) % 10 16
Board of Directors - Age over 50 9 16
Board of Directors - Age over 50 (%) % 90 16
Board of Directors - Chinese 8 16
Board of Directors - Chinese (%) % 80 16
Board of Directors - Female 2 16
Board of Directors - Female (%) % 20 16
Board of Directors - Male 8 16
Board of Directors - Male (%) % 80 16
Board of Directors - Non-Chinese 2 16
Board of Directors - Non-Chinese (%) % 20 16
Employee turnover (Female) - Total (23%), (29%), (40%) 266 349 535 59
Employees employees 2978 16
Fixed term, Female employees staff 147 32
Fixed term, Hong Kong SAR employees staff 247 32
Fixed term, Mainland China employees staff 17 32
Fixed term, Male employees staff 176 32
Full time, Female employees staff 1251 32
Full time, Male employees staff 1592 32
Gender distribution of permanent contract employees - Female - Investment Properties - WEL 421 56
Gender distribution of permanent contract employees - Female - Leisure and Hospitality - MPCZ 8 56
Gender distribution of permanent contract employees - Female - Leisure and Hospitality - PC, MPH, Apt, The Murray 726 56
Gender distribution of permanent contract employees - Female - Logistics - SF 37 56
Gender distribution of permanent contract employees - Female - Total 1128 1057 1192 56
Gender distribution of permanent contract employees - Male - Investment Properties - WEL 361 56
Gender distribution of permanent contract employees - Male - Leisure and Hospitality - MPCZ 9 56
Gender distribution of permanent contract employees - Male - Leisure and Hospitality - PC, MPH, Apt, The Murray 838 56
Gender distribution of permanent contract employees - Male - Logistics - SF 252 56
Gender distribution of permanent contract employees - Male - Total 1300 1218 1460 56
Gender distribution, General Staff, Female 46% 32
Gender distribution, General Staff, Male 54% 32
Gender distribution, Group Average, General staff, Female 46% 57
Gender distribution, Group Average, General staff, Male 54% 57
Gender distribution, Group Average, Middle management, Female 42% 57
Gender distribution, Group Average, Middle management, Male 58% 57
Gender distribution, Group Average, Senior management, Female 41% 57
Gender distribution, Group Average, Senior management, Male 59% 57
Gender distribution, MPCZ, General staff, Female 55% 57
Gender distribution, MPCZ, General staff, Male 45% 57
Gender distribution, MPCZ, Middle management, Female 47% 57
Gender distribution, MPCZ, Middle management, Male 53% 57
Gender distribution, MPCZ, Senior management, Female 0% 57
Gender distribution, MPCZ, Senior management, Male 100% 57
Gender distribution, Middle Management, Female 42% 32
Gender distribution, Middle Management, Male 58% 32
Gender distribution, PC, MPH, Apt, The Murray, General staff, Female 48% 57
Gender distribution, PC, MPH, Apt, The Murray, General staff, Male 52% 57
Gender distribution, PC, MPH, Apt, The Murray, Middle management, Female 40% 57
Gender distribution, PC, MPH, Apt, The Murray, Middle management, Male 60% 57
Gender distribution, PC, MPH, Apt, The Murray, Senior management, Female 42% 57
Gender distribution, PC, MPH, Apt, The Murray, Senior management, Male 58% 57
Gender distribution, SF, General staff, Female 12% 57
Gender distribution, SF, General staff, Male 88% 57
Gender distribution, SF, Middle management, Female 33% 57
Gender distribution, SF, Middle management, Male 67% 57
Gender distribution, SF, Senior management, Female 0% 57
Gender distribution, SF, Senior management, Male 100% 57
Gender distribution, Senior Management, Female 41% 32
Gender distribution, Senior Management, Male 59% 32
Gender distribution, WEL, General staff, Female 53% 57
Gender distribution, WEL, General staff, Male 47% 57
Gender distribution, WEL, Middle management, Female 46% 57
Gender distribution, WEL, Middle management, Male 54% 57
Gender distribution, WEL, Senior management, Female 60% 57
Gender distribution, WEL, Senior management, Male 40% 57
Incidents of discrimination and corrective actions taken no recorded incidents of non-compliance with anti-discrimination legislation 68
Minority group, Group Average, General staff 6% 57
Minority group, Group Average, Middle management 5% 57
Minority group, Group Average, Senior management 22% 57
Minority group, MPCZ, General staff 1% 57
Minority group, MPCZ, Middle management 0% 57
Minority group, MPCZ, Senior management 0% 57
Minority group, PC, MPH, Apt, The Murray, General staff 11% 57
Minority group, PC, MPH, Apt, The Murray, Middle management 8% 57
Minority group, PC, MPH, Apt, The Murray, Senior management 33% 57
Minority group, SF, General staff 0% 57
Minority group, SF, Middle management 0% 57
Minority group, SF, Senior management 0% 57
Minority group, WEL, General staff 0% 57
Minority group, WEL, Middle management 0% 57
Minority group, WEL, Senior management 0% 57
New employee hires, Age 30-50, Investment Properties, WEL (12%), (13%), (8%) 63 35 54 58
New employee hires, Age 30-50, Leisure and Hospitality, MPCZ (24%), (36%) 32 49 58
New employee hires, Age 30-50, Leisure and Hospitality, PC, MPH, Apt, The Murray (20%), (21%), (30%) 94 138 269 58
New employee hires, Age 30-50, Logistics, SF (33%), (41%), (57%) 26 14 14 58
New employee hires, Age 30-50, Total (14%), (17%), (25%) 183 219 386 58
New employee hires, Age above 50, Investment Properties, WEL (10%), (6%), (8%) 13 10 16 58
New employee hires, Age above 50, Leisure and Hospitality, MPCZ (27%), (35%) 8 12 58
New employee hires, Age above 50, Leisure and Hospitality, PC, MPH, Apt, The Murray (13%), (17%), (22%) 39 49 72 58
New employee hires, Age above 50, Logistics, SF (17%), (18%), (28%) 61 41 39 58
New employee hires, Age above 50, Total (15%), (16%), (19%) 113 108 139 58
New employee hires, Age below 30, Investment Properties, WEL (37%), (44%), (47%) 85 100 94 58
New employee hires, Age below 30, Leisure and Hospitality, MPCZ (57%), (96%) 70 91 58
New employee hires, Age below 30, Leisure and Hospitality, PC, MPH, Apt, The Murray (18%), (46%), (58%) 87 146 177 58
New employee hires, Age below 30, Logistics, SF (38%), (67%), (68%) 21 9 18 58
New employee hires, Age below 30, Total (39%), (52%), (54%) 193 325 380 58
New employee hires, Female, Investment Properties, WEL (22%), (24%) 107 96 101 58
New employee hires, Female, Leisure and Hospitality, MPCZ (46%), (60%) 67 81 58
New employee hires, Female, Leisure and Hospitality, PC, MPH, Apt, The Murray (15%), (30%), (32%) 96 176 239 58
New employee hires, Female, Logistics, SF (28%), (41%), (70%) 30 11 15 58
New employee hires, Female, Total/Overall (20%), (29%), (33%) 233 350 436 58
New employee hires, Male, Investment Properties, WEL (13%), (16%) 54 49 63 58
New employee hires, Male, Leisure and Hospitality, MPCZ (31%), (55%) 43 71 58
New employee hires, Male, Leisure and Hospitality, PC, MPH, Apt, The Murray (18%), (24%), (32%) 124 157 279 58
New employee hires, Male, Logistics, SF (21%), (22%), (31%) 78 53 56 58
New employee hires, Male, Total/Overall (19%), (21%), (29%) 256 302 469 58
New employee hires, Region, Hong Kong SAR (23%), (28%) 542 753 58
New employee hires, Region, Mainland China (39%), (58%) 110 152 58
New employee hires, Region, Overall (25%), (30%) 652 905 58
Non-minority group, Group Average, General staff 94% 57
Non-minority group, Group Average, Middle management 95% 57
Non-minority group, Group Average, Senior management 78% 57
Non-minority group, MPCZ, General staff 99% 57
Non-minority group, MPCZ, Middle management 100% 57
Non-minority group, MPCZ, Senior management 100% 57
Non-minority group, PC, MPH, Apt, The Murray, General staff 89% 57
Non-minority group, PC, MPH, Apt, The Murray, Middle management 92% 57
Non-minority group, PC, MPH, Apt, The Murray, Senior management 67% 57
Non-minority group, SF, General staff 100% 57
Non-minority group, SF, Middle management 100% 57
Non-minority group, SF, Senior management 100% 57
Non-minority group, WEL, General staff 100% 57
Non-minority group, WEL, Middle management 100% 57
Non-minority group, WEL, Senior management 100% 57
Part time, Female employees staff 46 32
Part time, Male employees staff 89 32
Permanent, Female employees staff 1192 32
Permanent, Hong Kong SAR employees staff 2635 32
Permanent, Mainland China employees staff 76 32
Permanent, Male employees staff 1460 32
Staff cost HK$ million 1004 16
Temporary, Female employees staff 1 32
Temporary, Hong Kong SAR employees staff 3 32
Temporary, Male employees staff 2 32
Total assets HK$ billion 280.3 16
Total workforce staff 2978 32
Total workforce by employment contract, MPCZ, Fixed Term 265 247 57
Total workforce by employment contract, MPCZ, Permanent 18 17 57
Total workforce by employment contract, PC, MPH, Apt, The Murray, Fixed Term 27 48 46 57
Total workforce by employment contract, PC, MPH, Apt, The Murray, Permanent 1284 1192 1564 57
Total workforce by employment contract, PC, MPH, Apt, The Murray, Temporary 10 1 57
Total workforce by employment contract, SF, Permanent 293 289 289 57
Total workforce by employment contract, Total, Fixed Term 66 347 323 57
Total workforce by employment contract, Total, Permanent 2428 2275 2652 57
Total workforce by employment contract, Total, Temporary 13 5 3 57
Total workforce by employment contract, WEL, Fixed Term 39 34 30 57
Total workforce by employment contract, WEL, Permanent 851 776 782 57
Total workforce by employment contract, WEL, Temporary 3 5 2 57
Total workforce by employment type - Full time - Investment Properties - WEL 712 56
Total workforce by employment type - Full time - Leisure and Hospitality - MPCZ 264 56
Total workforce by employment type - Full time - Leisure and Hospitality - PC, MPH, Apt, The Murray 1601 56
Total workforce by employment type - Full time - Logistics - SF 266 56
Total workforce by employment type - Full time - Total 2314 2494 2843 56
Total workforce by employment type - Part time - Investment Properties - WEL 102 56
Total workforce by employment type - Part time - Leisure and Hospitality - PC, MPH, Apt, The Murray 10 56
Total workforce by employment type - Part time - Logistics - SF 23 56
Total workforce by employment type - Part time - Total 114 133 135 56
Total workforce by employment type - Total 2428 2627 2978 56
Total workforce by employment type - Total - Investment Properties - WEL 814 56
Total workforce by employment type - Total - Leisure and Hospitality - MPCZ 264 56
Total workforce by employment type - Total - Leisure and Hospitality - PC, MPH, Apt, The Murray 1611 56
Total workforce by employment type - Total - Logistics - SF 289 56
Total workforce by gender - Female - Investment Properties - WEL 424 56
Total workforce by gender - Female - Leisure and Hospitality - MPCZ 136 56
Total workforce by gender - Female - Leisure and Hospitality - PC, MPH, Apt, The Murray 743 56
Total workforce by gender - Female - Logistics - SF 37 56
Total workforce by gender - Female - Total 1149 1215 1340 56
Total workforce by gender - Male - Investment Properties - WEL 390 56
Total workforce by gender - Male - Leisure and Hospitality - MPCZ 128 56
Total workforce by gender - Male - Leisure and Hospitality - PC, MPH, Apt, The Murray 868 56
Total workforce by gender - Male - Logistics - SF 252 56
Total workforce by gender - Male - Total 1358 1412 1638 56
Total workforce by gender - Total 2507 2627 2978 56
Total workforce by gender - Total - Investment Properties - WEL 814 56
Total workforce by gender - Total - Leisure and Hospitality - MPCZ 264 56
Total workforce by gender - Total - Leisure and Hospitality - PC, MPH, Apt, The Murray 1611 56
Total workforce by gender - Total - Logistics - SF 289 56

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

Indicator Unit 2016 2017 2018 Report Pages
Absentee rate, Overall % 2 2 61
Absentee rate, Overall, Female % 2 2 2 61
Absentee rate, Overall, Male % 1 1 1 61
Employee turnover (30 - 50) - Investment Properties - WEL (13%), (15%), (17%) 64 62 77 59
Employee turnover (30 - 50) - Leisure and Hospitality - MPCZ (24%), (41%) 32 56 59
Employee turnover (30 - 50) - Leisure and Hospitality - PC, MPH, Apt, The Murray (20%), (33%), (34%) 147 138 305 59
Employee turnover (30 - 50) - Logistics - SF (26%), (33%) 15 14 9 59
Employee turnover (30 - 50) - Total (18%), (19%), (29%) 226 246 447 59
Employee turnover (Above 50) - Investment Properties - WEL (14%), (20%), (23%) 37 24 32 59
Employee turnover (Above 50) - Leisure and Hospitality - MPCZ (26%), (27%) 8 9 59
Employee turnover (Above 50) - Leisure and Hospitality - PC, MPH, Apt, The Murray (15%), (22%), (34%) 45 64 113 59
Employee turnover (Above 50) - Logistics - SF (19%), (25%) 53 42 44 59
Employee turnover (Above 50) - Total (19%), (26%) 135 138 198 59
Employee turnover (Below 30) - Investment Properties - WEL (36%), (37%), (58%) 84 81 117 59
Employee turnover (Below 30) - Leisure and Hospitality - MPCZ (106%), (57%) 70 101 59
Employee turnover (Below 30) - Leisure and Hospitality - PC, MPH, Apt, The Murray (24%), (39%), (41%) 114 104 150 59
Employee turnover (Below 30) - Logistics - SF (50%), (58%), (59%) 18 12 16 59
Employee turnover (Below 30) - Total (43%), (54%) 216 267 384 59
Employee turnover (Female) - Investment Properties - WEL (24%), (27%), (38%) 117 117 163 59
Employee turnover (Female) - Leisure and Hospitality - MPCZ (46%), (63%) 67 86 59
Employee turnover (Female) - Leisure and Hospitality - PC, MPH, Apt, The Murray (21%), (25%), (36%) 132 150 269 59
Employee turnover (Female) - Logistics - SF (38%), (40%), (46%) 17 15 17 59
Employee turnover (Male) - Investment Properties - WEL (13%), (16%), (17%) 68 50 63 59
Employee turnover (Male) - Leisure and Hospitality - MPCZ (28%), (31%), (63%) 69 43 80 59
Employee turnover (Male) - Leisure and Hospitality - PC, MPH, Apt, The Murray (24%), (25%), (34%) 174 156 299 59
Employee turnover (Male) - Logistics - SF (21%), (23%) 31 53 52 59
Employee turnover (Male) - Total (21%), (30%) 302 494 59
Employee turnover (Region) - Hong Kong SAR (23%), (32%) 541 863 59
Employee turnover (Region) - Mainland China (39%), (63%) 110 166 59
Employee turnover (Region) - Overall (25%), (35%) 651 1029 59
Parental leave – return to work rate - Investment Properties - WEL 100% 59
Parental leave – return to work rate - Leisure and Hospitality - MPCZ 100% 59
Parental leave – return to work rate - Leisure and Hospitality - PC, MPH, Apt, The Murray 100% 59
Parental leave – return to work rate - Overall 100% 59

Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.

Indicator Unit 2016 2017 2018 Report Pages
Fracture injuries (Female) per 1000 employees 3.7 36
Fracture injuries (Hong Kong SAR) per 1000 employees 1.1 36
Fracture injuries (Leisure and Hospitality) per 1000 employees 3.7 36
Fracture injuries (Mainland China) per 1000 employees 15.2 36
Fracture injuries (Male) per 1000 employees 1.2 36
Injury rate per 1000 employees, Hong Kong SAR 36 47 60
Injury rate per 1000 employees, Investment Properties, WEL, Female 21 5 17 60
Injury rate per 1000 employees, Investment Properties, WEL, Male 12 18 21 60
Injury rate per 1000 employees, Leisure and Hospitality, MPCZ, Female 27 29 60
Injury rate per 1000 employees, Leisure and Hospitality, MPCZ, Male 44 47 60
Injury rate per 1000 employees, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female 127 74 65 60
Injury rate per 1000 employees, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male 75 47 69 60
Injury rate per 1000 employees, Logistics, SF, Female 23 60
Injury rate per 1000 employees, Logistics, SF, Male 12 8 16 60
Injury rate per 1000 employees, Mainland China 35 38 60
Injury rate per 1000 employees, Overall (region) 36 46 60
Injury rate per 1000 employees, Overall, Female 78 41 44 60
Injury rate per 1000 employees, Overall, Male 44 32 48 60
Integumentary injuries (Female) per 1000 employees 14.2 36
Integumentary injuries (Hong Kong SAR) per 1000 employees 18.8 36
Integumentary injuries (Investment Properties) per 1000 employees 3.7 36
Integumentary injuries (Leisure and Hospitality) per 1000 employees 28.8 36
Integumentary injuries (Mainland China) per 1000 employees 22.7 36
Integumentary injuries (Male) per 1000 employees 23.2 36
Musculoskeletal injuries (Female) per 1000 employees 23.9 36
Musculoskeletal injuries (Hong Kong SAR) per 1000 employees 24.7 36
Musculoskeletal injuries (Investment Properties) per 1000 employees 14.7 36
Musculoskeletal injuries (Leisure and Hospitality) per 1000 employees 27.2 36
Musculoskeletal injuries (Logistics - The 'Star' Ferry) per 1000 employees 13.8 36
Musculoskeletal injuries (Male) per 1000 employees 21.4 36
Occupational disease rate by gender and by region in percentage, Hong Kong SAR 0% 0% 60
Occupational disease rate by gender and by region in percentage, Investment Properties, WEL, Female 0% 0% 0% 60
Occupational disease rate by gender and by region in percentage, Investment Properties, WEL, Male 0% 0% 0% 60
Occupational disease rate by gender and by region in percentage, Leisure and Hospitality, MPCZ, Female 0% 0% 60
Occupational disease rate by gender and by region in percentage, Leisure and Hospitality, MPCZ, Male 0% 0% 60
Occupational disease rate by gender and by region in percentage, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female 0.02% 0% 0% 60
Occupational disease rate by gender and by region in percentage, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male 0.01% 0% 0% 60
Occupational disease rate by gender and by region in percentage, Logistics, SF, Female 0% 0% 0% 60
Occupational disease rate by gender and by region in percentage, Logistics, SF, Male 0% 0% 0% 60
Occupational disease rate by gender and by region in percentage, Mainland China 0% 0% 60
Occupational disease rate by gender and by region in percentage, Overall (region) 0% 0% 60
Occupational disease rate by gender and by region in percentage, Overall, Female 0.02% 0% 0% 60
Occupational disease rate by gender and by region in percentage, Overall, Male 0.01% 0% 0% 60
Other minor injuries (Female) per 1000 employees 0.7 36
Other minor injuries (Hong Kong SAR) per 1000 employees 0.7 36
Other minor injuries (Leisure and Hospitality) per 1000 employees 1.1 36
Other minor injuries (Male) per 1000 employees 0.6 36
Other serious injuries (Hong Kong SAR) per 1000 employees 0.7 36
Other serious injuries (Leisure and Hospitality) per 1000 employees 1.1 36
Other serious injuries (Male) per 1000 employees 1.2 36
Overall injury rate (Female) per 1000 employees 44 36
Overall injury rate (Hong Kong SAR) per 1000 employees 46.8 36
Overall injury rate (Investment Properties) per 1000 employees 18.4 36
Overall injury rate (Leisure and Hospitality) per 1000 employees 62.9 36
Overall injury rate (Logistics - The 'Star' Ferry) per 1000 employees 13.8 36
Overall injury rate (Mainland China) per 1000 employees 37.9 36
Overall injury rate (Male) per 1000 employees 47.6 36
Puncture injuries (Female) per 1000 employees 1.5 36
Puncture injuries (Hong Kong SAR) per 1000 employees 0.7 36
Puncture injuries (Leisure and Hospitality) per 1000 employees 1.1 36

Lost days due to work injury.

Indicator Unit 2016 2017 2018 Report Pages
Lost day rate by gender and by region in percentage, Hong Kong SAR 0.11% 0.18% 60
Lost day rate by gender and by region in percentage, Investment Properties, WEL, Female 0.08% 0% 0.05% 60
Lost day rate by gender and by region in percentage, Investment Properties, WEL, Male 0.02% 0.18% 0.04% 60
Lost day rate by gender and by region in percentage, Leisure and Hospitality, MPCZ, Female 0.01% 0.10% 60
Lost day rate by gender and by region in percentage, Leisure and Hospitality, MPCZ, Male 0.06% 0.08% 60
Lost day rate by gender and by region in percentage, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female 0.44% 0.22% 0.32% 60
Lost day rate by gender and by region in percentage, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male 0.60% 0.07% 0.24% 60
Lost day rate by gender and by region in percentage, Logistics, SF, Female 0.04% 0% 0% 60
Lost day rate by gender and by region in percentage, Logistics, SF, Male 0.26% 0.03% 0.03% 60
Lost day rate by gender and by region in percentage, Mainland China 0.03% 0.09% 60
Lost day rate by gender and by region in percentage, Overall (region) 0.10% 0.18% 60
Lost day rate by gender and by region in percentage, Total, Female 0.30% 0.12% 0.21% 60
Lost day rate by gender and by region in percentage, Total, Male 0.39% 0.09% 0.15% 60

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

Indicator Unit 2016 2017 2018 Report Pages
Absentee rate, Hong Kong SAR % 2 2 61
Absentee rate, Investment Properties, WEL, Female % 3 2 2 61
Absentee rate, Investment Properties, WEL, Male % 2 2 2 61
Absentee rate, Leisure and Hospitality, MPCZ, Female % 0.2 2 61
Absentee rate, Leisure and Hospitality, MPCZ, Male % 0.2 1 61
Absentee rate, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female % 1 2 2 61
Absentee rate, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male % 1 1 1 61
Absentee rate, Logistics, SF, Female % 1 1 1 61
Absentee rate, Logistics, SF, Male % 2 2 2 61
Absentee rate, Mainland China % 0.2 1 61

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

Indicator Unit 2016 2017 2018 Report Pages
Average training hours per employee, Investment Properties, WEL, Female hours 14.9 12.9 8.7 61
Average training hours per employee, Investment Properties, WEL, General staff hours 16 19 15.7 61
Average training hours per employee, Investment Properties, WEL, Male hours 17.1 25.9 22.1 61
Average training hours per employee, Investment Properties, WEL, Middle management hours 14.9 16.5 9.2 61
Average training hours per employee, Investment Properties, WEL, Senior management hours 21.5 40.2 24.4 61
Average training hours per employee, Investment Properties, WEL, Total hours 15.9 18.9 15.1 61
Average training hours per employee, Leisure and Hospitality, MPCZ, Female hours 44.3 21.2 61
Average training hours per employee, Leisure and Hospitality, MPCZ, General staff hours 54.1 20.2 61
Average training hours per employee, Leisure and Hospitality, MPCZ, Male hours 44.3 19.4 61
Average training hours per employee, Leisure and Hospitality, MPCZ, Middle management hours 23.8 20.9 61
Average training hours per employee, Leisure and Hospitality, MPCZ, Senior management hours 17.7 16.1 61
Average training hours per employee, Leisure and Hospitality, MPCZ, Total hours 44.3 20.3 61
Average training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female hours 8.1 20.3 26.1 61
Average training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, General staff hours 10.8 20.2 26 61
Average training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male hours 7.9 24.5 27.1 61
Average training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, Middle management hours 11.5 32.6 30.1 61
Average training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, Senior management hours 15.7 22.9 20 61
Average training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, Total hours 8 22.5 26.7 61
Average training hours per employee, Logistics, SF, Female hours 4.7 2 3.2 61
Average training hours per employee, Logistics, SF, General staff hours 7.7 6.7 8 61
Average training hours per employee, Logistics, SF, Male hours 8.3 7.4 8.7 61
Average training hours per employee, Logistics, SF, Middle management hours 8.9 8.2 8.7 61
Average training hours per employee, Logistics, SF, Senior management hours 21.5 2.9 4 61
Average training hours per employee, Logistics, SF, Total hours 7.8 6.7 8 61
Average training hours per employee, Overall, Female hours 10.8 19.9 19.5 61
Average training hours per employee, Overall, General staff hours 12.2 21.1 20.5 61
Average training hours per employee, Overall, Male hours 10.8 23.8 22.5 61
Average training hours per employee, Overall, Middle management hours 13.4 27 24.3 61
Average training hours per employee, Overall, Senior management hours 17.7 24.4 20.2 61
Average training hours per employee, Overall, Total hours 10.8 22 21.1 61

Percentage of total products sold or shipped subject to recalls for safety and health reasons.

Indicator Unit 2018 Report Pages
Incidents of non-compliance concerning marketing communications no recorded incidents of non-compliance 68
Incidents of non-compliance concerning the health and safety impacts of products and services no recorded incidents of non-compliance 68
Non-compliance with laws and regulations in the social and economic area no recorded incidents of non-compliance 68

Number of products and service related complaints received and how they are dealt with.

Indicator Unit 2018 Report Pages
Substantiated complaints concerning breaches of customer privacy and losses of customer data no recorded incidents of non-compliance 68

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 Report Pages
Underlying net profit HK$ billion 10.1 16

Description of anti-corruption training provided to directors and staff.

Indicator Unit 2018 Report Pages
Hours of anti-corruption training conducted hours 700 18

Resources contributed (e.g. money or time) to the focus area.

Indicator Unit 2018 Report Pages
Donations HK$ million 26 16
Revenue HK$ billion 16 16

Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2016 2017 2018
Direct GHG Emissions (Scope 1) tonnes CO2e 6493 6670 7468
Indirect Energy Emissions (Scope 2) tonnes CO2e 114741 121271 125130
Total GHG Emissions tonnes CO2e 121234 127941 132598
Total GHG Emissions Intensity (By Employee) tonnes CO2e/unit 48.7 44.53
Total GHG Emissions Intensity (By Revenue) tonnes CO2e/million 6.12 8.29

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

Standard Indicator Unit 2017 2018
Hazardous Electronic Waste tonnes 4.7 7.93
Hazardous Waste (Electronic and IT Equipment) tonnes 4.7 7.93
Hazardous Waste (Used Batteries) tonnes 2.14 2.69
Total Hazardous Waste tonnes 4017.58 4207.39

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

Standard Indicator Unit 2017 2018
Glass Waste tonnes 37.69 53.98
Non-Hazardous Waste Incineration tonnes 129.89
Non-Hazardous Waste Landfilling tonnes 21907 22773
Non-Hazardous Waste Recycled tonnes 2196.25 2462.03
Paper Waste tonnes 1436.05 1755.04
Plastic Waste tonnes 3.56 7.76

Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2016 2017 2018
Diesel Fuel Consumption GJ 101 160 255
Energy Consumption Intensity (By Area) GJ/m² 0.53 0.55 0.56
Energy Consumption Intensity (By Employee) GJ/unit 315.29 291.15
Energy Consumption Intensity (By Revenue) GJ/unit 39.62 54.19
LPG Consumption GJ 161 164 84
Natural Gas Consumption GJ 13912 15590 15590
Purchased Electricity GJ 706104 733364 768407
Solar Energy GJ 848 839 511
Total Energy Consumption GJ 804942 828269 867059
Unleaded Petrol Consumption GJ 312 562 481

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

Standard Indicator Unit 2016 2017 2018
Municipal Water Consumption m³ 7318 6187 6647
Recycled Water Usage m³ 1737
Total Wastewater Discharge m³ 6647
Water Consumption Intensity (By Revenue) m³/million 41.87 57.21

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

Standard Indicator Unit 2018 2020
Electricity Usage Reduction Compared to Last Year kWh 109.2
Energy Consumption Reduction Compared to Last Year kWh 746544
Target Electricity Usage Reduction Percentage Compared to Last Year % 12

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

Standard Indicator Unit 2016 2017 2018
Number of Female Employees employees 1149 1215 1340
Number of Full-time Employees employees 2314 2494 2843
Number of Male Employees employees 1358 1412 1638
Number of New Employees employees 489 652 905
Number of New Employees (Above 50) employees 113 108 139
Number of New Employees (Aged 30-50) employees 183 219 386
Number of New Employees (Aged Below 30) employees 193 325 380
Number of New Employees (Female) employees 233 350 436
Number of New Employees (Hong Kong) employees 542 753
Number of New Employees (Mainland China) employees 110 152
Number of New Employees (Male) employees 256 302 469
Number of Part-time Employees employees 114 133 135
Number of Temporary Workers employees 13 5 3
Number of Total Employees employees 2507 2627 2978
Percentage of Female Employees % 45.8 46.2 45
Percentage of Full-time Employees % 92.3 94.9 95.5
Percentage of Male Employees % 54.2 53.8 55
Percentage of New Employees % 19.5 24.8 30.4
Percentage of Part-time Employees % 4.5 5.1 4.5
Percentage of Temporary Workers % 0.5 0.2 0.1

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

Standard Indicator Unit 2016 2017 2018
Turnover Rate of Employees Aged 30-50 % 18 19 29
Turnover Rate of Employees Aged Above 50 % 19 19 26
Turnover Rate of Employees Aged Below 30 % 43 43 54
Turnover Rate of Employees in Hong Kong % 23 32
Turnover Rate of Employees in Hong Kong and Mainland China % 25 35
Turnover Rate of Employees in Mainland China % 39 63
Turnover Rate of Female Employees % 23 29 40
Turnover Rate of Male Employees % 21 21 30
Turnover Rate of Total Employees % 18 25 35

Lost days due to work injury.

Standard Indicator Unit 2016 2017 2018
Rate of Work-related Injuries % 0.345 0.105 0.18
Rate of Work-related Injuries (Hong Kong) % 0.11 0.18
Rate of Work-related Injuries (Mainland China) % 0.03 0.09

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

Standard Indicator Unit 2016 2017 2018
Average Training Hours (Female) hours 10.8 19.9 19.5
Average Training Hours (General Staff) hours 12.2 21.1 20.5
Average Training Hours (Male) hours 10.8 23.8 22.5
Average Training Hours (Middle Management) hours 13.4 27 24.3
Average Training Hours (Senior Management) hours 17.7 24.4 20.2
Average Training Hours per Employee hours 10.8 22 21.1
Total Training Hours hours 62906

Description of anti-corruption training provided to directors and staff.

Standard Indicator Unit 2018
Total Hours of Anti-corruption Training hours 700