Sustainability Report 2018

Company: WHARF HOLDINGS (4)
Year: 2018
Published: 2019-07-02
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. 64

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 27993 14899 48
Direct (Scope 1) GHG emissions - Corporate Office WL tonnes CO2e 69 67 67 48
Direct (Scope 1) GHG emissions - Development Properties WCDL tonnes CO2e 87 84 48
Direct (Scope 1) GHG emissions - Investment Properties WCEL tonnes CO2e 3288 4472 48
Direct (Scope 1) GHG emissions - Leisure and Hospitality WH tonnes CO2e 376 2323 48
Direct (Scope 1) GHG emissions - Logistics MTL tonnes CO2e 22089 24175 7953 48
Direct (Scope 1) GHG emissions - Total tonnes CO2e 22158 27993 14899 48
Energy Indirect (Scope 2) emissions - Corporate Office WL tonnes CO2e 413 410 387 48
Energy Indirect (Scope 2) emissions - Development Properties WCDL tonnes CO2e 215 103 48
Energy Indirect (Scope 2) emissions - Investment Properties WCEL tonnes CO2e 92999 124281 48
Energy Indirect (Scope 2) emissions - Leisure and Hospitality WH tonnes CO2e 7850 48
Energy Indirect (Scope 2) emissions - Logistics MTL tonnes CO2e 25874 26919 25141 48
Energy Indirect (Scope 2) emissions - Total tonnes CO2e 26287 120543 157762 48
Energy indirect (Scope 2) emissions tonnes CO2e 120543 157762 48
GHG (Scope 2) Intensity (tonnes CO2e/occupancy rate) 674.89 546.52 23
GHG emissions tonnes CO2e 46700 47862 23
GHG emissions intensity in tonnes CO2e per GFA m2 - Corporate Office tonnes CO2e per GFA m2 0.08 0.08 0.073 25
GHG emissions intensity in tonnes CO2e per GFA m2 - Development Properties tonnes CO2e per GFA m2 0.1 0.07 0.062 25
GHG emissions intensity in tonnes CO2e per GFA m2 - Investment Properties tonnes CO2e per GFA m2 0.07 0.057 25
GHG emissions intensity in tonnes CO2e per TEU - Logistics tonnes CO2e per TEU 0.01 0.01 0.006 25
GHG emissions intensity in tonnes CO2e per guest night - Leisure and Hospitality tonnes CO2e per guest night 0.003 0.039 25
Greenhouse Gas (GHG) emissions Scope 1 tonnes CO2e 27993 13742 24
Greenhouse Gas (GHG) emissions Scope 2 tonnes CO2e 120543 128957 24
Greenhouse Gas (GHG) emissions Scope 3 tonnes CO2e 15354 15878 24
Scope 3 emissions tonnes CO2e 37 15878 48
Total (Scope 1, 2 & 3) GHG emissions tonnes CO2e 148536 188539 48
Total (Scope 1, 2 & 3) per million revenues 6.11 8.95 48
Total (Scope 1, 2 & 3) per number of employee 327.2 392.28 48

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 0.22 0.42 49
Electrical Appliances/Components (hazardous waste) - Total tonnes 1.63 4.78 49
Fluorescent Lamps (hazardous waste) - Total tonnes 0.8 1.52 49
Industrial Batteries (hazardous waste) - Total tonnes 3.7 5.29 49
Light Bulbs (hazardous waste) - Total tonnes 0.13 49
Metal collected for recycling - Total tonnes 822.79 154.04 49
Others (hazardous waste) - Total tonnes 3.86 49
Scrap Tyres (hazardous waste) - Total tonnes 89.81 196.52 49
Used Ink Cartridge (hazardous waste) - Total tonnes 0.86 0.85 49
Waste Cooking Oil (hazardous waste) - Total tonnes 12.99 16.89 49
Waste Filter (hazardous waste) - Total tonnes 315.02 49
Waste Industrial Oil (hazardous waste) - Total tonnes 41.31 47.13 49
Waste Rag (hazardous waste) - Total tonnes 9.22 10.58 49
Waste produced tonnes 3030 4153.44 23
Wooden Pallets (hazardous waste) - Total tonnes 334.64 49

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
Food Waste collected for recycling - Total tonnes 1038.05 2969 49
General Refuse to landfill - Total tonnes 12494 16117.66 49
Glass collected for recycling - Total tonnes 0.24 7.55 49
Grand Total Waste (General Refuse + Waste Collected for Recycling) - Total tonnes 14955.81 20352.42 49
Paper collected for recycling - Total tonnes 109.81 445.5 49
Soap collected for recycling - Total tonnes 1.11 49

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

Indicator Unit 2018 Report Pages
GHG emissions intensity target for Modern Terminals kg CO2e per TEU less than 10 25

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 9.82 32.79 49
Waste recycled tonnes 420 1094 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 2016 2017 2018 Report Pages
Diesel oil energy consumption (Corporate Office - WL) GJ 231 73 75 47
Diesel oil energy consumption (Investment Properties - WCEL) GJ 7744 9189 47
Diesel oil energy consumption (Leisure and Hospitality - WH) GJ 22 47
Diesel oil energy consumption (Logistics - MTL) GJ 314236 325389 103330 47
Diesel oil energy consumption (Total) GJ 314467 333206 112616 47
Electricity Intensity (GJ/occupancy rate) 4622 3743 23
Energy consumption GJ 339703 351360 23
Energy consumption per million revenues GJ/million revenue 46.78 59.01 47
Energy consumption per number of employee GJ/employee 284.9 258.85 47
Energy intensity in GJ per GFA m² - Corporate Office GJ/m² 0.61 0.57 0.47 24
Energy intensity in GJ per GFA m² - Development Properties GJ/m² 0.73 0.57 0.53 24
Energy intensity in GJ per GFA m² - Investment Properties GJ/m² 0.38 24
Energy intensity in GJ per TEU - Logistics GJ/TEU 0.11 0.1 0.05 24
Energy intensity in GJ per guest night - Leisure and Hospitality GJ/guest night 0.05 0.35 24
Liquefied petroleum gas (LPG) energy consumption (Logistics - MTL) GJ 3542 3553 3404 47
Liquefied petroleum gas (LPG) energy consumption (Total) GJ 3542 3553 3404 47
Piped natural gas (PNG) energy consumption (Investment Properties - WCEL) GJ 43739 75310 47
Piped natural gas (PNG) energy consumption (Leisure and Hospitality - WH) GJ 6181 38165 47
Piped natural gas (PNG) energy consumption (Total) GJ 49920 113475 47
Purchased electricity energy consumption (Corporate Office - WL) GJ 2755 2732 2731 47
Purchased electricity energy consumption (Development Properties - WCDL) GJ 1136 568 47
Purchased electricity energy consumption (Investment Properties - WCEL) GJ 562003 772636 47
Purchased electricity energy consumption (Leisure and Hospitality - WH) GJ 53755 47
Purchased electricity energy consumption (Logistics - MTL) GJ 172292 179299 177466 47
Purchased electricity energy consumption (Total) GJ 175047 745170 1007156 47
Self-generated renewable energy - Solar (Investment Properties - WCEL) GJ 4 47
Self-generated renewable energy - Solar (Total) GJ 4 47
Total energy consumption (Corporate Office - WL) GJ 3768 3543 3546 47
Total energy consumption (Development Properties - WCDL) GJ 2189 1582 47
Total energy consumption (Investment Properties - WCEL) GJ 614296 857469 47
Total energy consumption (Leisure and Hospitality - WH) GJ 6181 92006 47
Total energy consumption (Logistics - MTL) GJ 493870 511411 287857 47
Total energy consumption (Total) GJ 497638 1137620 1242460 47
Towngas energy consumption (Logistics - MTL) GJ 2437 1962 2623 47
Towngas energy consumption (Total) GJ 2437 1962 2623 47
Unleaded petrol energy consumption (Corporate Office - WL) GJ 782 738 740 47
Unleaded petrol energy consumption (Development Properties - WCDL) GJ 1053 1014 47
Unleaded petrol energy consumption (Investment Properties - WCEL) GJ 806 334 47
Unleaded petrol energy consumption (Leisure and Hospitality - WH) GJ 64 47
Unleaded petrol energy consumption (Logistics - MTL) GJ 1363 1208 1034 47
Unleaded petrol energy consumption (Total) GJ 2145 3805 3186 47

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) - Investment Properties WCEL m3 36 943 48
Municipal water consumption (m3) - Development Properties WCDL m3 877 565 48
Municipal water consumption (m3) - Investment Properties WCEL m3 1085316 1818115 48
Municipal water consumption (m3) - Leisure and Hospitality WH m3 94439 267871 48
Municipal water consumption (m3) - Logistics MTL m3 66891 62763 74134 48
Recycled water (m3) - Investment Properties WCEL m3 8232 12952 48
Recycled water (m3) - Leisure and Hospitality WH m3 132 48
Underground water (m3) - Investment Properties WCEL m3 71405 106054 48
Water consumption m3 681091 754640 23
Water consumption per million revenues 54.4 108.32 48
Water consumption per number of employee 331.35 475.16 48

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

Indicator Unit 2016 2017 2018 Report Pages
Corporate Office WL General staff 30-50 % 55% 53
Corporate Office WL General staff Above 50 % 25% 53
Corporate Office WL General staff Below 30 % 20% 53
Corporate Office WL General staff Female % 66% 53
Corporate Office WL General staff Male % 34% 53
Corporate Office WL General staff Minority group % 0% 53
Corporate Office WL General staff Non-minority group % 100% 53
Corporate Office WL Middle management 30-50 % 74% 53
Corporate Office WL Middle management Above 50 % 26% 53
Corporate Office WL Middle management Below 30 % 0% 53
Corporate Office WL Middle management Female % 61% 53
Corporate Office WL Middle management Male % 39% 53
Corporate Office WL Middle management Minority group % 0% 53
Corporate Office WL Middle management Non-minority group % 100% 53
Corporate Office WL Senior management 30-50 % 18% 53
Corporate Office WL Senior management Above 50 % 82% 53
Corporate Office WL Senior management Below 30 % 0% 53
Corporate Office WL Senior management Female % 18% 53
Corporate Office WL Senior management Male % 82% 53
Corporate Office WL Senior management Minority group % 0% 53
Corporate Office WL Senior management Non-minority group % 100% 53
Development Properties WCDL General staff 30-50 % 73% 53
Development Properties WCDL General staff Above 50 % 3% 53
Development Properties WCDL General staff Below 30 % 24% 53
Development Properties WCDL General staff Female % 57% 53
Development Properties WCDL General staff Male % 43% 53
Development Properties WCDL General staff Minority group % 1% 53
Development Properties WCDL General staff Non-minority group % 99% 53
Development Properties WCDL Middle management 30-50 % 84% 53
Development Properties WCDL Middle management Above 50 % 16% 53
Development Properties WCDL Middle management Below 30 % 0% 53
Development Properties WCDL Middle management Female % 42% 53
Development Properties WCDL Middle management Male % 58% 53
Development Properties WCDL Middle management Minority group % 0% 53
Development Properties WCDL Middle management Non-minority group % 100% 53
Development Properties WCDL Senior management 30-50 % 50% 53
Development Properties WCDL Senior management Above 50 % 50% 53
Development Properties WCDL Senior management Below 30 % 0% 53
Development Properties WCDL Senior management Female % 0% 53
Development Properties WCDL Senior management Male % 100% 53
Development Properties WCDL Senior management Minority group % 0% 53
Development Properties WCDL Senior management Non-minority group % 100% 53
Employee turnover, gender distribution, Corporate Office, WL, Female (23%) 23 55
Employee turnover, gender distribution, Corporate Office, WL, Male (12%) 8 55
Employee turnover, gender distribution, Development Properties, WCDL, Female (21%) 46 55
Employee turnover, gender distribution, Development Properties, WCDL, Male (27%) 52 55
Employee turnover, gender distribution, Investment Properties, WCEL, Female (23%) 222 55
Employee turnover, gender distribution, Investment Properties, WCEL, Male (13%) 137 55
Employee turnover, gender distribution, Leisure and Hospitality, WH, Female (51%) 326 55
Employee turnover, gender distribution, Leisure and Hospitality, WH, Male (45%) 249 55
Employee turnover, gender distribution, Leisure and Hospitality, WHML, Female (20%) 7 55
Employee turnover, gender distribution, Leisure and Hospitality, WHML, Male (56%) 10 55
Employee turnover, gender distribution, Logistics, MTL, Female (32%) 32 55
Employee turnover, gender distribution, Logistics, MTL, Male (9%) 70 55
Employee turnover, gender distribution, Total, Female (16%), (26%), (32%) 43 442 656 55
Employee turnover, gender distribution, Total, Male (19%), (22%), (8%) 75 506 526 55
Employee turnover, region distribution, Hong Kong SAR (12%), (14%) 167 192 55
Employee turnover, region distribution, Mainland China (29%), (30%) 781 990 55
Employee turnover, region distribution, Overall (24%), (25%) 948 1182 55
Fixed term contract, Female people 11 30
Fixed term contract, Male people 35 30
Fixed term, Hong Kong SAR people 43 30
Fixed term, Mainland China people 46 30
Full time, Female people 2721 30
Full time, Male people 2056 30
General Staff, Female percent 44 30
General Staff, Male percent 56 30
Group Overall General staff 30-50 % 53% 53
Group Overall General staff Above 50 % 11% 53
Group Overall General staff Below 30 % 36% 53
Group Overall General staff Female % 44% 53
Group Overall General staff Male % 56% 53
Group Overall General staff Minority group % 1% 53
Group Overall General staff Non-minority group % 99% 53
Group Overall Middle management 30-50 % 70% 53
Group Overall Middle management Above 50 % 16% 53
Group Overall Middle management Below 30 % 14% 53
Group Overall Middle management Female % 42% 53
Group Overall Middle management Male % 58% 53
Group Overall Middle management Minority group % 1% 53
Group Overall Middle management Non-minority group % 99% 53
Group Overall Senior management 30-50 % 51% 53
Group Overall Senior management Above 50 % 49% 53
Group Overall Senior management Below 30 % 0% 53
Group Overall Senior management Female % 30% 53
Group Overall Senior management Male % 70% 53
Group Overall Senior management Minority group % 7% 53
Group Overall Senior management Non-minority group % 93% 53
Investment Properties WCEL General staff 30-50 % 58% 53
Investment Properties WCEL General staff Above 50 % 6% 53
Investment Properties WCEL General staff Below 30 % 36% 53
Investment Properties WCEL General staff Female % 48% 53
Investment Properties WCEL General staff Male % 52% 53
Investment Properties WCEL General staff Minority group % 2% 53
Investment Properties WCEL General staff Non-minority group % 98% 53
Investment Properties WCEL Middle management 30-50 % 85% 53
Investment Properties WCEL Middle management Above 50 % 13% 53
Investment Properties WCEL Middle management Below 30 % 2% 53
Investment Properties WCEL Middle management Female % 50% 53
Investment Properties WCEL Middle management Male % 50% 53
Investment Properties WCEL Middle management Minority group % 1% 53
Investment Properties WCEL Middle management Non-minority group % 99% 53
Investment Properties WCEL Senior management 30-50 % 63% 53
Investment Properties WCEL Senior management Above 50 % 37% 53
Investment Properties WCEL Senior management Below 30 % 0% 53
Investment Properties WCEL Senior management Female % 50% 53
Investment Properties WCEL Senior management Male % 50% 53
Investment Properties WCEL Senior management Minority group % 0% 53
Investment Properties WCEL Senior management Non-minority group % 100% 53
Leisure and Hospitality WHML General staff 30-50 % 53% 53
Leisure and Hospitality WHML General staff Above 50 % 12% 53
Leisure and Hospitality WHML General staff Below 30 % 35% 53
Leisure and Hospitality WHML General staff Female % 82% 53
Leisure and Hospitality WHML General staff Male % 18% 53
Leisure and Hospitality WHML General staff Minority group % 0% 53
Leisure and Hospitality WHML General staff Non-minority group % 100% 53
Leisure and Hospitality WHML Middle management 30-50 % 83% 53
Leisure and Hospitality WHML Middle management Above 50 % 11% 53
Leisure and Hospitality WHML Middle management Below 30 % 6% 53
Leisure and Hospitality WHML Middle management Female % 67% 53
Leisure and Hospitality WHML Middle management Male % 33% 53
Leisure and Hospitality WHML Middle management Minority group % 0% 53
Leisure and Hospitality WHML Middle management Non-minority group % 100% 53
Leisure and Hospitality WHML Senior management 30-50 % 33% 53
Leisure and Hospitality WHML Senior management Above 50 % 67% 53
Leisure and Hospitality WHML Senior management Below 30 % 0% 53
Leisure and Hospitality WHML Senior management Female % 50% 53
Leisure and Hospitality WHML Senior management Male % 50% 53
Leisure and Hospitality WHML Senior management Minority group % 0% 53
Leisure and Hospitality WHML Senior management Non-minority group % 100% 53
Logistics MTL General staff 30-50 % 55% 53
Logistics MTL General staff Above 50 % 33% 53
Logistics MTL General staff Below 30 % 12% 53
Logistics MTL General staff Female % 6% 53
Logistics MTL General staff Male % 94% 53
Logistics MTL General staff Minority group % 0% 53
Logistics MTL General staff Non-minority group % 100% 53
Logistics MTL Middle management 30-50 % 60% 53
Logistics MTL Middle management Above 50 % 30% 53
Logistics MTL Middle management Below 30 % 10% 53
Logistics MTL Middle management Female % 24% 53
Logistics MTL Middle management Male % 76% 53
Logistics MTL Middle management Minority group % 0% 53
Logistics MTL Middle management Non-minority group % 100% 53
Logistics MTL Senior management 30-50 % 44% 53
Logistics MTL Senior management Above 50 % 56% 53
Logistics MTL Senior management Below 30 % 0% 53
Logistics MTL Senior management Female % 31% 53
Logistics MTL Senior management Male % 69% 53
Logistics MTL Senior management Minority group % 19% 53
Logistics MTL Senior management Non-minority group % 81% 53
Middle Management, Female percent 42 30
Middle Management, Male percent 58 30
New employee hires, age distribution, Corporate Office WL, 30-50 (10%), (26%), (9%) 16 9 24 54
New employee hires, age distribution, Corporate Office WL, Above 50 (10%), (8%) 6 4 5 54
New employee hires, age distribution, Corporate Office WL, Below 30 (56%), (58%), (70%) 23 19 14 54
New employee hires, age distribution, Development Properties WCDL, 30-50 (11%), (9%) 30 36 54
New employee hires, age distribution, Development Properties WCDL, Below 30 (24%), (32%) 24 24 54
New employee hires, age distribution, Investment Properties WCEL, 30-50 (15%), (23%) 136 290 54
New employee hires, age distribution, Investment Properties WCEL, Above 50 (3%), (4%) 4 5 54
New employee hires, age distribution, Investment Properties WCEL, Below 30 (43%), (56%) 210 380 54
New employee hires, age distribution, Leisure and Hospitality WH, 30-50 (35%), (56%) 196 173 54
New employee hires, age distribution, Leisure and Hospitality WH, Above 50 (14%), (25%) 13 10 54
New employee hires, age distribution, Leisure and Hospitality WH, Below 30 (68%), (81%) 347 431 54
New employee hires, age distribution, Leisure and Hospitality WHML, 30-50 (37%), (39%) 14 11 54
New employee hires, age distribution, Leisure and Hospitality WHML, Above 50 (14%), (19%) 2 3 54
New employee hires, age distribution, Leisure and Hospitality WHML, Below 30 (100%), (57%) 6 4 54
New employee hires, age distribution, Logistics MTL, 30-50 (7%), (8%) 36 38 43 54
New employee hires, age distribution, Logistics MTL, Above 50 (0%), (1%) 4 1 3 54
New employee hires, age distribution, Logistics MTL, Below 30 (29%), (36%), (43%) 37 27 36 54
New employee hires, age distribution, Total, 30-50 (-), (19%), (22%) 52 423 577 54
New employee hires, age distribution, Total, Above 50 (-), (4%) 10 24 26 54
New employee hires, age distribution, Total, Below 30 (-), (56%), (58%) 60 633 889 54
New employee hires, gender distribution, Corporate Office WL, Female (18%), (25%), (31%) 28 24 32 54
New employee hires, gender distribution, Corporate Office WL, Male (12%), (13%), (16%) 17 8 11 54
New employee hires, gender distribution, Development Properties WCDL, Female (14%), (9%) 23 32 54
New employee hires, gender distribution, Development Properties WCDL, Male (13%), (14%) 31 28 54
New employee hires, gender distribution, Investment Properties WCEL, Female (28%), (37%) 207 359 54
New employee hires, gender distribution, Investment Properties WCEL, Male (18%), (29%) 143 316 54
New employee hires, gender distribution, Leisure and Hospitality WH, Female (53%), (61%) 281 340 54
New employee hires, gender distribution, Leisure and Hospitality WH, Male (49%), (74%) 275 274 54
New employee hires, gender distribution, Leisure and Hospitality WHML, Female (20%), (34%) 12 7 54
New employee hires, gender distribution, Leisure and Hospitality WHML, Male (48%), (61%) 10 11 54
New employee hires, gender distribution, Logistics MTL, Female (12%), (17%), (24%) 18 13 24 54
New employee hires, gender distribution, Logistics MTL, Male (6%), (7%) 59 53 58 54
New employee hires, gender distribution, Total, Female (17%), (33%), (38%) 46 560 794 54
New employee hires, gender distribution, Total, Male (22%), (26%), (8%) 76 520 698 54
New employee hires, region distribution, Hong Kong SAR (14%), (9%) 130 188 54
New employee hires, region distribution, Mainland China (36%), (38%) 950 1304 54
New employee hires, region distribution, Overall (27%), (31%) 1080 1492 54
Part time, Female people 17 30
Part time, Male people 6 30
Permanent contract, Female people 1512 30
Permanent contract, Male people 1235 30
Permanent, Hong Kong SAR people 1328 30
Permanent, Mainland China people 2950 30
Senior Management, Female percent 30 30
Senior Management, Male percent 70 30
Temporary contract, Female people 1481 30
Temporary contract, Male people 526 30
Temporary, Mainland China people 433 30
Total workforce people 4800 30
WH General staff 30-50 % 35% 53
WH General staff Above 50 % 6% 53
WH General staff Below 30 % 59% 53
WH General staff Female % 54% 53
WH General staff Male % 46% 53
WH General staff Minority group % 2% 53
WH General staff Non-minority group % 98% 53
WH Middle management 30-50 % 63% 53
WH Middle management Above 50 % 2% 53
WH Middle management Below 30 % 35% 53
WH Middle management Female % 51% 53
WH Middle management Male % 49% 53
WH Middle management Minority group % 1% 53
WH Middle management Non-minority group % 99% 53
WH Senior management 30-50 % 88% 53
WH Senior management Above 50 % 12% 53
WH Senior management Below 30 % 0% 53
WH Senior management Female % 25% 53
WH Senior management Male % 75% 53
WH Senior management Minority group % 13% 53
WH Senior management Non-minority group % 87% 53

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

Indicator Unit 2018 Report Pages
Employee turnover, age distribution, Corporate Office, WL, 30-50 (21%) 20 55
Employee turnover, age distribution, Corporate Office, WL, Above 50 (6%) 3 55
Employee turnover, age distribution, Corporate Office, WL, Below 30 (33%) 8 55
Employee turnover, age distribution, Development Properties, WCDL, 30-50 (21%) 65 55
Employee turnover, age distribution, Development Properties, WCDL, Above 50 (4%) 1 55
Employee turnover, age distribution, Development Properties, WCDL, Below 30 (42%) 32 55
Employee turnover, age distribution, Investment Properties, WCEL, 30-50 (13%) 158 55
Employee turnover, age distribution, Investment Properties, WCEL, Above 50 (13%) 17 55
Employee turnover, age distribution, Investment Properties, WCEL, Below 30 (27%) 184 55
Employee turnover, age distribution, Leisure and Hospitality, WH, 30-50 (40%) 195 55
Employee turnover, age distribution, Leisure and Hospitality, WH, Above 50 (7%) 5 55
Employee turnover, age distribution, Leisure and Hospitality, WH, Below 30 (59%) 375 55
Employee turnover, age distribution, Leisure and Hospitality, WHML, 30-50 (40%) 12 55
Employee turnover, age distribution, Leisure and Hospitality, WHML, Above 50 (13%) 2 55
Employee turnover, age distribution, Leisure and Hospitality, WHML, Below 30 (43%) 3 55
Employee turnover, age distribution, Logistics, MTL, 30-50 (9%) 46 55
Employee turnover, age distribution, Logistics, MTL, Above 50 (9%) 27 55
Employee turnover, age distribution, Logistics, MTL, Below 30 (29%) 29 55
Employee turnover, age distribution, Total, 30-50 (18%) 496 55
Employee turnover, age distribution, Total, Above 50 (9%) 55 55
Employee turnover, age distribution, Total, Below 30 (41%) 631 55
Parental leave - return to work rate, Corporate Office, WL 100% 55
Parental leave - return to work rate, Development Properties, WCDL 100% 55
Parental leave - return to work rate, Investment Properties, WCEL 100% 55
Parental leave - return to work rate, Leisure and Hospitality, WH 100% 55
Parental leave - return to work rate, Leisure and Hospitality, WHML 100% 55
Parental leave - return to work rate, Logistics, MTL 100% 55
Parental leave - return to work rate, Overall 100% 55

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
Injury rate by gender per 1000 employees - Corporate Office WL - Male 16 56
Injury rate by gender per 1000 employees - Development Properties WCDL - Female 9 56
Injury rate by gender per 1000 employees - Development Properties WCDL - Male 5 56
Injury rate by gender per 1000 employees - Investment Properties WCEL - Female 3 7 56
Injury rate by gender per 1000 employees - Investment Properties WCEL - Male 25 13 56
Injury rate by gender per 1000 employees - Logistics MTL - Female 9 56
Injury rate by gender per 1000 employees - Logistics MTL - Male 12 7 16 56
Injury rate by gender per 1000 employees - Logistics WH - Female 35 16 56
Injury rate by gender per 1000 employees - Logistics WH - Male 40 14 56
Injury rate by gender per 1000 employees - Overall - Female 13 9 56
Injury rate by gender per 1000 employees - Overall - Male 18 13 56
Injury rate by region per 1000 employees - Hong Kong SAR 6 9 56
Injury rate by region per 1000 employees - Mainland China 21 12 56
Injury rate by region per 1000 employees - Overall 16 11 56
Occupational disease rate by gender - Corporate Office - WL - Female percentage 0% 0% 0% 57
Occupational disease rate by gender - Corporate Office - WL - Male percentage 0% 0% 0% 57
Occupational disease rate by gender - Development Properties - WCDL - Female percentage - 0% 0% 57
Occupational disease rate by gender - Development Properties - WCDL - Male percentage - 0% 0% 57
Occupational disease rate by gender - Investment Properties - WCEL - Female percentage - 0% 0% 57
Occupational disease rate by gender - Investment Properties - WCEL - Male percentage - 0% 0% 57
Occupational disease rate by gender - Leisure and Hospitality - WH - Female percentage - 0% 0% 57
Occupational disease rate by gender - Leisure and Hospitality - WH - Male percentage - 0% 0% 57
Occupational disease rate by gender - Leisure and Hospitality - WHML - Female percentage - 0% 0% 57
Occupational disease rate by gender - Leisure and Hospitality - WHML - Male percentage - 0% 0% 57
Occupational disease rate by gender - Logistics - MTL - Female percentage 0% 0% 0% 57
Occupational disease rate by gender - Logistics - MTL - Male percentage 0% 0% 0% 57
Occupational disease rate by gender - Overall - Female percentage 0% 0% 57
Occupational disease rate by gender - Overall - Male percentage 0% 0% 0% 57
Occupational disease rate by region - Hong Kong SAR percentage 0% 0% 57
Occupational disease rate by region - Mainland China percentage 0% 0% 57
Occupational disease rate by region - Overall percentage 0% 0% 57

Lost days due to work injury.

Indicator Unit 2016 2017 2018 Report Pages
Absentee rate by gender - Corporate Office - WL - Female percentage 1.9% 1.5% 1.7% 57
Absentee rate by gender - Corporate Office - WL - Male percentage 1.8% 1.3% 2.0% 57
Absentee rate by gender - Development Properties - WCDL - Female percentage 1.5% 1.2% 57
Absentee rate by gender - Development Properties - WCDL - Male percentage 0.5% 0.5% 57
Absentee rate by gender - Investment Properties - WCEL - Female percentage 2.2% 1.7% 57
Absentee rate by gender - Investment Properties - WCEL - Male percentage 0.9% 0.7% 57
Absentee rate by gender - Leisure and Hospitality - WH - Female percentage 0.9% 1.0% 57
Absentee rate by gender - Leisure and Hospitality - WH - Male percentage 0.3% 0.2% 57
Absentee rate by gender - Leisure and Hospitality - WHML - Female percentage 0.6% 1.5% 57
Absentee rate by gender - Leisure and Hospitality - WHML - Male percentage 0.7% 0.6% 57
Absentee rate by gender - Logistics - MTL - Female percentage 1.9% 1.7% 1.8% 57
Absentee rate by gender - Logistics - MTL - Male percentage 1.7% 1.8% 2.1% 57
Absentee rate by gender - Overall - Female percentage 1.6% 1.5% 57
Absentee rate by gender - Overall - Male percentage 1.2% 1.1% 57
Lost day rate by gender in percentage - Corporate Office WL - Female percentage 0% 0.005% 56
Lost day rate by gender in percentage - Corporate Office WL - Male percentage 0.002% 0% 56
Lost day rate by gender in percentage - Development Properties WCDL - Female percentage 0.023% 0.252% 56
Lost day rate by gender in percentage - Development Properties WCDL - Male percentage 0.022% 56
Lost day rate by gender in percentage - Investment Properties WCEL - Female percentage 0.004% 0.027% 56
Lost day rate by gender in percentage - Investment Properties WCEL - Male percentage 0.099% 0.148% 56
Lost day rate by gender in percentage - Leisure and Hospitality WHML - Male percentage 0% 56
Lost day rate by gender in percentage - Logistics MTL - Female percentage 0% 0.027% 0% 56
Lost day rate by gender in percentage - Logistics MTL - Male percentage 0.052% 0.332% 0.501% 56
Lost day rate by gender in percentage - Logistics WH - Female percentage 0.146% 0.046% 56
Lost day rate by gender in percentage - Logistics WH - Male percentage 0.089% 0.031% 56
Lost day rate by gender in percentage - Logistics WHML - Female percentage 0% 56
Lost day rate by gender in percentage - Overall - Female percentage 0.046% 0.049% 56
Lost day rate by gender in percentage - Overall - Male percentage 0.180% 0.233% 56
Lost day rate by region in percentage - Hong Kong SAR percentage 0.230% 0.253% 56
Lost day rate by region in percentage - Mainland China percentage 0.069% 0.091% 56
Lost day rate by region in percentage - Overall percentage 0.128% 0.154% 56

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

Indicator Unit 2017 2018 Report Pages
Absentee rate by region - Hong Kong SAR percentage 1.7% 1.8% 57
Absentee rate by region - Mainland China percentage 1.1% 0.9% 57
Absentee rate by region - Overall percentage 1.3% 1.3% 57

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

Indicator Unit 2016 2017 2018 Report Pages
Average number of training hours per employee by employment category, Corporate Office, General staff hours 1.7 2.3 2.4 58
Average number of training hours per employee by employment category, Corporate Office, Middle management hours 4.7 7.4 12.1 58
Average number of training hours per employee by employment category, Corporate Office, Senior management hours 4.5 5.7 6.5 58
Average number of training hours per employee by employment category, Development Properties, General staff hours 8.5 6.2 58
Average number of training hours per employee by employment category, Development Properties, Middle management hours 2.9 3.5 58
Average number of training hours per employee by employment category, Development Properties, Senior management hours 1 7.4 58
Average number of training hours per employee by employment category, Investment Properties, General staff hours 10.9 11.1 58
Average number of training hours per employee by employment category, Investment Properties, Middle management hours 10 12 58
Average number of training hours per employee by employment category, Investment Properties, Senior management hours 4.8 8.3 58
Average number of training hours per employee by employment category, Leisure and Hospitality WH, General staff hours 42.6 59.8 58
Average number of training hours per employee by employment category, Leisure and Hospitality WH, Middle management hours 33.9 59.7 58
Average number of training hours per employee by employment category, Leisure and Hospitality WH, Senior management hours 42.6 15.9 58
Average number of training hours per employee by employment category, Leisure and Hospitality WHML, General staff hours 12 4.4 58
Average number of training hours per employee by employment category, Leisure and Hospitality WHML, Middle management hours 12 6.3 58
Average number of training hours per employee by employment category, Leisure and Hospitality WHML, Senior management hours 12 8 58
Average number of training hours per employee by employment category, Logistics MTL, General staff hours 18.7 24.9 58
Average number of training hours per employee by employment category, Logistics MTL, Middle management hours 20.3 30.5 58
Average number of training hours per employee by employment category, Logistics MTL, Senior management hours 14.3 11.8 58
Average number of training hours per employee by employment category, Logistics, General staff hours 23.7 17.1 27.9 58
Average number of training hours per employee by employment category, Logistics, Middle management hours 38.6 31.1 29.6 58
Average number of training hours per employee by employment category, Logistics, Senior management hours 23.6 9.3 18.9 58
Average number of training hours per employee by gender, Corporate Office, Female hours 2.9 4.3 4.9 58
Average number of training hours per employee by gender, Corporate Office, Male hours 2.2 2.2 4.1 58
Average number of training hours per employee by gender, Corporate Office, Total hours 2.6 3.4 4.6 58
Average number of training hours per employee by gender, Development Properties, Female hours 7 6.2 58
Average number of training hours per employee by gender, Development Properties, Male hours 7.3 4.9 58
Average number of training hours per employee by gender, Development Properties, Total hours 7.1 5.6 58
Average number of training hours per employee by gender, Investment Properties, Female hours 11 12.1 58
Average number of training hours per employee by gender, Investment Properties, Male hours 10.6 10.3 58
Average number of training hours per employee by gender, Investment Properties, Total hours 10.8 11.2 58
Average number of training hours per employee by gender, Leisure and Hospitality WH, Female hours 43.4 59.1 58
Average number of training hours per employee by gender, Leisure and Hospitality WH, Male hours 40 58.7 58
Average number of training hours per employee by gender, Leisure and Hospitality WH, Total hours 41.9 58.9 58
Average number of training hours per employee by gender, Leisure and Hospitality WHML, Female hours 12 5.7 58
Average number of training hours per employee by gender, Leisure and Hospitality WHML, Male hours 12 7.4 58
Average number of training hours per employee by gender, Leisure and Hospitality WHML, Total hours 12 6.3 58
Average number of training hours per employee by gender, Logistics MTL, Female hours 19.8 26.2 58
Average number of training hours per employee by gender, Logistics MTL, Male hours 18.1 25 58
Average number of training hours per employee by gender, Logistics MTL, Total hours 18.8 25.5 58
Average number of training hours per employee by gender, Logistics, Female hours 23.7 25 27.7 58
Average number of training hours per employee by gender, Logistics, Male hours 28 20 28.2 58
Average number of training hours per employee by gender, Logistics, Total hours 27.5 20.6 28.1 58

Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.

Indicator Unit 2018 Report Pages
Confirmed incidents of corruption and actions taken no confirmed incidents of corruption 63

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 22158 27993 14899
Indirect Energy Emissions (Scope 2) tonnes CO2e 26287 120543 157762
Total GHG Emissions tonnes CO2e 148536 188539
Total GHG Emissions Intensity (By Employee) per number of employee 327.2 392.28
Total GHG Emissions Intensity (By Revenue) per million revenues 6.11 8.95
Total Other Indirect Energy Emissions (Scope 3) tonnes CO2e 15354 15878

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 1.63 4.78
Hazardous Waste (Used Batteries) tonnes 3.92 5.71
Total Hazardous Waste tonnes 160.67 943.33

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 0.24 7.55
Non-Hazardous Waste (Kitchen Waste) tonnes 1038.05 2969
Non-Hazardous Waste Landfilling tonnes 12494 16117.66
Non-Hazardous Waste Recycled tonnes 420 1094
Paper Waste tonnes 109.81 445.5
Plastic Waste tonnes 9.82 32.79

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

Standard Indicator Unit 2018
Reduction in GHG Intensity Compared to Last Year (By Unit Product) kg CO2e per TEU less than 10

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 314467 333206 112616
Energy Consumption Intensity (By Area) GJ/m² 0.61 0.57 0.47
Energy Consumption Intensity (By Employee) GJ/employee 284.9 258.85
Energy Consumption Intensity (By Revenue) GJ/million revenue 46.78 59.01
Energy Consumption Intensity (By Unit Product) GJ/guest night 0.11 0.1 0.35
Gasoline Consumption GJ 2145 3805 3186
LPG Consumption GJ 3542 3553 3404
Natural Gas Consumption GJ 49920 113475
Purchased Electricity GJ 175047 745170 1007156
Total Energy Consumption GJ 497638 1137620 1242460

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

Standard Indicator Unit 2016 2017 2018
Groundwater Withdrawal m3 71405 106054
Municipal Water Consumption m3 66891 1186085 2164685
Recycled Water Usage m3 8232 13084
Water Consumption m3 681091 754640
Water Consumption Intensity (By Revenue) 54.4 108.32

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 Employees Aged 30-50 people 2544
Number of Employees Aged Above 50 people 528
Number of Employees Aged Below 30 people 1728
Number of Employees in Hong Kong people 1371
Number of Employees in Hong Kong and Mainland China people 4367
Number of Employees in Mainland China people 2996
Number of Female Employees people 2721
Number of Full-time Employees people 4777
Number of Full-time Employees (Female) people 2721
Number of Full-time Employees (Male) people 2056
Number of General Employees (Female) percent 44
Number of General Employees(Male) percent 56
Number of Male Employees people 2056
Number of Middle Management Employees (Female) percent 42
Number of Middle Management Employees (Male) percent 58
Number of New Employees people 122 1080 1492
Number of New Employees (Above 50) people 10 24 26
Number of New Employees (Aged 30-50) people 52 423 577
Number of New Employees (Aged Below 30) people 60 633 889
Number of New Employees (Female) people 46 560 794
Number of New Employees (Hong Kong) people 130 188
Number of New Employees (Mainland China) people 950 1304
Number of New Employees (Male) people 76 520 698
Number of Part-time Employees people 23
Number of Part-time Employees (Female) people 17
Number of Part-time Employees (Male) people 6
Number of Senior Management Employees (Female) percent 30
Number of Senior Management Employees (Male) percent 70
Number of Temporary Workers people 2007
Number of Temporary Workers (Female) people 1481
Number of Temporary Workers (Male) people 526
Number of Total Employees people 4800
Percentage of Employees Aged 30-50 % 53
Percentage of Employees Aged Above 50 % 11
Percentage of Employees Aged Below 30 % 36
Percentage of Employees in Hong Kong % 28.56
Percentage of Employees in Hong Kong and Mainland China % 90.98
Percentage of Employees in Mainland China % 62.42
Percentage of Female Employees % 56.69
Percentage of Full-time Employees % 99.52
Percentage of Male Employees % 42.83
Percentage of New Employees % 27 31.08
Percentage of Part-time Employees % 0.48
Percentage of Temporary Workers % 41.81

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

Standard Indicator Unit 2018
Turnover Rate of Employees Aged 30-50 % 18
Turnover Rate of Employees Aged Above 50 % 9
Turnover Rate of Employees Aged Below 30 % 41

Lost days due to work injury.

Standard Indicator Unit 2017 2018
Lost Days Due to Work-related Injuries percentage 0.128 0.154
Lost Days Due to Work-related Injuries (Hong Kong) percentage 0.23 0.253
Lost Days Due to Work-related Injuries (Mainland China) percentage 0.069 0.091

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

Standard Indicator Unit 2016 2017 2018
Average Training Hours (Female) hours 2.9 4.3 4.9
Average Training Hours (General Staff) hours 12.7 15.7 19.8
Average Training Hours (Male) hours 2.2 2.2 4.1
Average Training Hours (Middle Management) hours 21.6 13.7 14.9
Average Training Hours (Senior Management) hours 14.2 13.5 11.8
Average Training Hours per Employee hours 2.6 3.4 4.6