Sustainability Report 2019

Company: WHARF HOLDINGS (4)
Year: 2019
Published: 2020-05-15
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 2019 Report Pages
Non-compliance with environmental laws and regulations The Group received no fines or non-monetary sanctions for incidents of non-compliance. 69

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 2017 2018 2019 Report Pages
Direct (Scope 1) GHG emissions (tonnes CO2e) - Corporate Office WL tonnes CO2e 67 67 66 54
Direct (Scope 1) GHG emissions (tonnes CO2e) - Development Properties WCDL tonnes CO2e 87 84 89 54
Direct (Scope 1) GHG emissions (tonnes CO2e) - Investment Properties WCEL tonnes CO2e 3288 4472 5745 54
Direct (Scope 1) GHG emissions (tonnes CO2e) - Leisure and Hospitality Hotels tonnes CO2e 376 2323 7139 54
Direct (Scope 1) GHG emissions (tonnes CO2e) - Logistics MTL tonnes CO2e 24399 8179 7806 54
Direct (Scope 1) GHG emissions (tonnes CO2e) - Total tonnes CO2e 28127 15251 20846 54
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Corporate Office WL tonnes CO2e 410 387 404 54
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Development Properties WCDL tonnes CO2e 215 103 123 54
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Investment Properties WCEL tonnes CO2e 92999 124281 135310 54
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Leisure and Hospitality Hotels tonnes CO2e 7850 7336 54
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Logistics MTL tonnes CO2e 26919 25141 24908 54
Energy indirect (Scope 2) GHG emissions (tonnes CO2e) - Total tonnes CO2e 120543 157762 168082 54
GHG (Scope 2) Intensity (tonnes CO2e/occupancy rate, Chengdu IFS) tonnes CO2e/occupancy rate 546.52 542.28 29
GHG Emissions (Chengdu IFS) tonnes CO2e 47862 49158 29
GHG emissions intensity in tonnes CO2e per GFA m² - Corporate Office tonnes CO2e/m² 0.07 0.057 0.056 24
GHG emissions intensity in tonnes CO2e per GFA m² - Development Properties tonnes CO2e/m² 0.07 0.057 0.062 24
GHG emissions intensity in tonnes CO2e per GFA m² - Investment Properties tonnes CO2e/m² 0.08 0.062 0.076 24
GHG emissions intensity in tonnes CO2e per TEU - Logistics tonnes CO2e/TEU 0.01 0.006 0.007 24
GHG emissions intensity in tonnes CO2e per guest night - Leisure and Hospitality tonnes CO2e/guest night 0.003 0.039 0.044 24
Greenhouse gas (GHG) emissions Scope 1 tonnes CO2e 28217 15125 20486 24
Greenhouse gas (GHG) emissions Scope 2 tonnes CO2e 120543 157762 168082 24
Greenhouse gas (GHG) emissions Scope 3 tonnes CO2e 15878 15878 18690 24
Other indirect (Scope 3) GHG emissions (tonnes CO2e) tonnes CO2e 15578 18680 54
Total (Scope 1, 2 and 3) emissions (tonnes CO2e) tonnes CO2e 148760 188765 207608 54
Total (Scope 1, 2 and 3) emissions per HK$ million revenues 6.12 8.97 12.3 54
Total (Scope 1, 2 and 3) emissions per number of employee 37.26 39.33 41.98 54

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

Indicator Unit 2017 2018 2019 Report Pages
Used ink cartridge recycled - Total tonnes 0.86 0.85 0.74 55
Waste Produced (Chengdu IFS) tonnes 4153.44 4500.56 29

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

Indicator Unit 2017 2018 2019 Report Pages
Electrical appliances/components recycled - Total tonnes 1.63 4.78 0.13 55
Food Waste Recycled (Chengdu IFS) tonnes 1274.04 29
General refuse to landfill - Total tonnes 12494 16117.66 18499.58 55
Glass recycled - Total tonnes 0.24 7.55 6.61 55
Metals recycled - Total tonnes 822.79 154.04 227.65 55
Paper recycled - Total tonnes 109.81 445.5 453.84 55
Scrap tyres recycled - Total tonnes 89.81 196.52 90.1 55
Soap recycled - Total tonnes 1.11 1.1 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 2019 Report Pages
Food waste recycled - Total tonnes 1038.05 2969 4521.66 55
Plastics recycled - Total tonnes 9.82 32.79 14.81 55
Waste Recycled (Chengdu IFS) tonnes 1094 1375.79 29

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 2017 2018 2019 Report Pages
Diesel oil energy consumption - Corporate Office WL GJ 73 75 68 53
Diesel oil energy consumption - Investment Properties WCEL GJ 7744 9189 6400 53
Diesel oil energy consumption - Leisure and Hospitality Hotels GJ 22 8 53
Diesel oil energy consumption - Logistics MTL GJ 325389 103330 98324 53
Diesel oil energy consumption - Total GJ 333206 112616 104800 53
Electricity Intensity (GJ/occupancy rate, Chengdu IFS) GJ/occupancy rate 3743 3714 29
Energy Consumption (Chengdu IFS) GJ 351360 361250 29
Energy consumption per HK$ million revenues GJ/HK$ million 46.92 59.18 79.68 53
Energy consumption per number of employee GJ/employee 285.79 259.59 271.9 53
Energy intensity in GJ per GFA m² - Corporate Office GJ/m² 0.47 0.38 0.41 24
Energy intensity in GJ per GFA m² - Development Properties GJ/m² 0.57 0.57 0.59 24
Energy intensity in GJ per GFA m² - Investment Properties GJ/m² 0.57 0.53 0.45 24
Energy intensity in GJ per TEU - Logistics GJ/TEU 0.1 0.06 0.06 24
Energy intensity in GJ per guest night - Leisure and Hospitality GJ/guest night 0.05 0.35 0.33 24
Liquefied petroleum gas (LPG) energy consumption - Logistics MTL GJ 7111 6991 6887 53
Piped natural gas (PNG) energy consumption - Investment Properties WCEL GJ 43739 75310 85704 53
Piped natural gas (PNG) energy consumption - Leisure and Hospitality Hotels GJ 6181 38165 57897 53
Piped natural gas (PNG) energy consumption - Logistics MTL GJ 49920 113475 143601 53
Purchased electricity energy consumption - Corporate Office WL GJ 2732 2731 2855 53
Purchased electricity energy consumption - Development Properties WCDL GJ 1136 568 630 53
Purchased electricity energy consumption - Investment Properties WCEL GJ 562003 772636 845288 53
Purchased electricity energy consumption - Leisure and Hospitality Hotels GJ 53575 50238 53
Purchased electricity energy consumption - Logistics MTL GJ 179299 177466 175610 53
Purchased electricity energy consumption - Total GJ 745170 1007156 1074621 53
Purchased steam energy consumption - Investment Properties WCEL GJ 8845 53
Purchased steam energy consumption - Total GJ 8845 53
Self-generated renewable energy – Solar energy consumption - Investment Properties WCEL GJ 4 53
Self-generated renewable energy – Solar energy consumption - Total GJ 4 53
Total energy consumption - Corporate Office WL GJ 3543 3546 3664 53
Total energy consumption - Development Properties WCDL GJ 2189 1582 1710 53
Total energy consumption - Investment Properties WCEL GJ 614296 857469 946580 53
Total energy consumption - Leisure and Hospitality Hotels GJ 6181 92006 108302 53
Total energy consumption - Logistics MTL GJ 514969 291444 284310 53
Total energy consumption - Total GJ 1141178 1246047 1344566 53
Towngas energy consumption - Logistics MTL GJ 1962 2623 2564 53
Unleaded petrol energy consumption - Corporate Office WL GJ 738 740 741 53
Unleaded petrol energy consumption - Development Properties WCDL GJ 1053 1014 1080 53
Unleaded petrol energy consumption - Investment Properties WCEL GJ 806 334 343 53
Unleaded petrol energy consumption - Leisure and Hospitality Hotels GJ 64 159 53
Unleaded petrol energy consumption - Logistics MTL GJ 1208 1034 925 53
Unleaded petrol energy consumption - Total GJ 3805 3186 3248 53

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

Indicator Unit 2017 2018 2019 Report Pages
Captured rainwater (m³) - Investment Properties WCEL m³ 36 943 2317 54
Municipal water (m³) - Development Properties WCDL m³ 877 565 3629 54
Municipal water (m³) - Investment Properties WCEL m³ 1085316 1818115 2115736 54
Municipal water (m³) - Leisure and Hospitality Hotels m³ 94439 267871 338861 54
Municipal water (m³) - Logistics MTL m³ 62763 74134 71303 54
Recycled water (m³) - Investment Properties WCEL m³ 8232 12952 6189 54
Recycled water (m³) - Leisure and Hospitality Hotels m³ 132 888 54
Underground water (m³) - Investment Properties WCEL m³ 71405 106054 93605 54
Water Intensity (m3/GFA/occupancy rate, Chengdu IFS) m3/GFA/occupancy rate 1.4 1.4 29
Water consumption per HK$ million revenues 54.4 108.32 156.01 54
Water consumption per number of employee 331.35 475.16 532.36 54

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

Indicator Unit 2017 2018 2019 Report Pages
Gender distribution of permanent contract employees - Female 492 526 561 58
Gender distribution of permanent contract employees - Male 1225 1235 1327 58
New employee hires - 30–50 - Total 423 577 451 60
New employee hires - Above 50 - Total 24 26 31 60
New employee hires - Below 30 - Total 653 889 667 60
New employee hires - Female - Corporate Office WL 21 60
New employee hires - Female - Corporate Office WL (percentage) 20% 60
New employee hires - Female - Development Properties WCDL 45 60
New employee hires - Female - Development Properties WCDL (percentage) 18% 60
New employee hires - Female - Investment Properties WCEL 173 60
New employee hires - Female - Investment Properties WCEL (percentage) 18% 60
New employee hires - Female - Leisure and Hospitality - Hotels 340 60
New employee hires - Female - Leisure and Hospitality - Hotels (percentage) 50% 60
New employee hires - Female - Leisure and Hospitality - Wharf Hotels 13 60
New employee hires - Female - Leisure and Hospitality - Wharf Hotels (percentage) 31% 60
New employee hires - Female - Logistics MTL 18 60
New employee hires - Female - Logistics MTL (percentage) 18% 60
New employee hires - Female - Total 560 794 610 60
New employee hires - Female - Total (percentage) 33% 38% 28% 60
New employee hires - Hong Kong SAR 130 188 175 60
New employee hires - Hong Kong SAR (percentage) 9% 14% 13% 60
New employee hires - Mainland China 950 1304 974 60
New employee hires - Mainland China (percentage) 36% 38% 27% 60
New employee hires - Male - Corporate Office WL 11 60
New employee hires - Male - Corporate Office WL (percentage) 17% 60
New employee hires - Male - Development Properties WCDL 39 60
New employee hires - Male - Development Properties WCDL (percentage) 16% 60
New employee hires - Male - Investment Properties WCEL 143 60
New employee hires - Male - Investment Properties WCEL (percentage) 14% 60
New employee hires - Male - Leisure and Hospitality - Hotels 274 60
New employee hires - Male - Leisure and Hospitality - Hotels (percentage) 46% 60
New employee hires - Male - Leisure and Hospitality - Wharf Hotels 5 60
New employee hires - Male - Leisure and Hospitality - Wharf Hotels (percentage) 31% 60
New employee hires - Male - Logistics MTL 67 60
New employee hires - Male - Logistics MTL (percentage) 8% 60
New employee hires - Male - Total 520 698 539 60
New employee hires - Male - Total (percentage) 22% 26% 19% 60
New employee hires - Total 1080 1492 1149 60
New employee hires - Total (percentage) 27% 31% 23% 60
Total workforce - Female 1677 2073 2158 58
Total workforce - Fixed-term 2217 2993 3020 58
Total workforce - Full-time 3971 4777 4941 58
Total workforce - Male 2316 2727 2787 58
Total workforce - Part-time 22 23 4 58
Total workforce - Permanent 1717 1761 1888 58
Total workforce - Temporary 59 46 37 58

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

Indicator Unit 2017 2018 2019 Report Pages
Employee turnover - 30–50 - Corporate Office WL (20%) 19 61
Employee turnover - 30–50 - Development Properties WCDL (19%) 72 61
Employee turnover - 30–50 - Investment Properties WCEL (16%) 204 61
Employee turnover - 30–50 - Leisure and Hospitality Hotels (40%) 213 61
Employee turnover - 30–50 - Leisure and Hospitality Wharf Hotels (21%) 7 61
Employee turnover - 30–50 - Logistics MTL (10%) 49 61
Employee turnover - 30–50 - Total (20%) 564 61
Employee turnover - Above 50 - Corporate Office WL (6%) 3 61
Employee turnover - Above 50 - Development Properties WCDL (3%) 1 61
Employee turnover - Above 50 - Investment Properties WCEL (12%) 18 61
Employee turnover - Above 50 - Leisure and Hospitality Hotels (21%) 18 61
Employee turnover - Above 50 - Leisure and Hospitality Wharf Hotels (38%) 6 61
Employee turnover - Above 50 - Logistics MTL (13%) 85 61
Employee turnover - Above 50 - Total (13%) 85 61
Employee turnover - Below 30 - Corporate Office WL (32%) 7 61
Employee turnover - Below 30 - Development Properties WCDL (19%) 18 61
Employee turnover - Below 30 - Investment Properties WCEL (34%) 199 61
Employee turnover - Below 30 - Leisure and Hospitality Hotels (78%) 517 61
Employee turnover - Below 30 - Logistics MTL (24%) 20 61
Employee turnover - Below 30 - Total (52%) 761 61
Employee turnover - Female - Corporate Office WL (19%) 20 61
Employee turnover - Female - Development Properties WCDL (20%) 51 61
Employee turnover - Female - Investment Properties WCEL (23%) 224 61
Employee turnover - Female - Leisure and Hospitality Hotels (65%) 439 61
Employee turnover - Female - Leisure and Hospitality Wharf Hotels (14%) 6 61
Employee turnover - Female - Logistics MTL (35%) 765 61
Employee turnover - Female - Total (35%) 765 61
Employee turnover - Male - Corporate Office WL (14%) 9 61
Employee turnover - Male - Development Properties WCDL (16%) 40 61
Employee turnover - Male - Investment Properties WCEL (19%) 197 61
Employee turnover - Male - Leisure and Hospitality Hotels (52%) 309 61
Employee turnover - Male - Leisure and Hospitality Wharf Hotels (44%) 7 61
Employee turnover - Male - Logistics MTL (10%) 83 61
Employee turnover - Male - Total (23%) 645 61
New employee hires - 30–50 - Total (percentage) 19% 22% 16% 60
New employee hires - Above 50 - Total (percentage) 4% 4% 5% 60
New employee hires - Below 30 - Total (percentage) 56% 58% 46% 60
Parental leave - Retention rate by gender - Female - Corporate Office WL 100% 61
Parental leave - Retention rate by gender - Female - Development Properties WCDL 89% 61
Parental leave - Retention rate by gender - Female - Investment Properties WCEL 96% 61
Parental leave - Retention rate by gender - Female - Leisure and Hospitality Hotels 80% 61
Parental leave - Retention rate by gender - Female - Logistics MTL 100% 61
Parental leave - Retention rate by gender - Female - Overall 89% 61
Parental leave - Retention rate by gender - Male - Development Properties WCDL 87% 61
Parental leave - Retention rate by gender - Male - Investment Properties WCEL 92% 61
Parental leave - Retention rate by gender - Male - Leisure and Hospitality Hotels 90% 61
Parental leave - Retention rate by gender - Male - Leisure and Hospitality Wharf Hotels 100% 61
Parental leave - Retention rate by gender - Male - Logistics MTL 87% 61
Parental leave - Retention rate by gender - Male - Overall 90% 61
Parental leave - Return to work rate - Corporate Office WL 100% 61
Parental leave - Return to work rate - Development Properties WCDL 100% 61
Parental leave - Return to work rate - Investment Properties WCEL 99% 61
Parental leave - Return to work rate - Leisure and Hospitality Hotels 93% 61
Parental leave - Return to work rate - Leisure and Hospitality Wharf Hotels 100% 61
Parental leave - Return to work rate - Logistics MTL 100% 61
Parental leave - Return to work rate - Overall 98% 61
Regional distribution of employee turnover - Hong Kong SAR (15%) 210 61
Regional distribution of employee turnover - Mainland China (33%) 1200 61
Regional distribution of employee turnover - Overall (29%) 1410 61

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

Indicator Unit 2019 Report Pages
Injury rate by gender per 1000 employees - Development Properties WCDL - Female 4 62
Injury rate by gender per 1000 employees - Development Properties WCDL - Male 4 62
Injury rate by gender per 1000 employees - Hospitality Hotels - Female 37 62
Injury rate by gender per 1000 employees - Hospitality Hotels - Male 27 62
Injury rate by gender per 1000 employees - Investment Properties WCEL - Female 7 62
Injury rate by gender per 1000 employees - Investment Properties WCEL - Male 9 62
Injury rate by gender per 1000 employees - Logistics MTL - Female 10 62
Injury rate by gender per 1000 employees - Logistics MTL - Male 6 62
Injury rate by gender per 1000 employees - Total - Female 16 62
Injury rate by gender per 1000 employees - Total - Male 11 62
Injury rate per 1000 employees - Hong Kong SAR 6 62
Injury rate per 1000 employees - Mainland China 16 62
Injury rate per 1000 employees - Overall 13 62

Lost days due to work injury.

Indicator Unit 2019 Report Pages
Absentee rate by gender in percentage - Corporate Office WL - Female % 1.65% 62
Absentee rate by gender in percentage - Corporate Office WL - Male % 1.13% 62
Absentee rate by gender in percentage - Development Properties WCDL - Female % 1.24% 62
Absentee rate by gender in percentage - Development Properties WCDL - Male % 0.50% 62
Absentee rate by gender in percentage - Hospitality Hotels - Female % 1.01% 62
Absentee rate by gender in percentage - Hospitality Hotels - Male % 0.39% 62
Absentee rate by gender in percentage - Investment Properties WCEL - Female % 1.26% 62
Absentee rate by gender in percentage - Investment Properties WCEL - Male % 0.83% 62
Absentee rate by gender in percentage - Leisure and Hospitality Wharf Hotels - Female % 1.03% 62
Absentee rate by gender in percentage - Leisure and Hospitality Wharf Hotels - Male % 0.29% 62
Absentee rate by gender in percentage - Logistics MTL - Female % 1.29% 62
Absentee rate by gender in percentage - Logistics MTL - Male % 2.45% 62
Absentee rate by gender in percentage - Total - Female % 1.20% 62
Absentee rate by gender in percentage - Total - Male % 1.27% 62
Lost day rate by gender in percentage - Corporate Office WL - Female % 0.00% 62
Lost day rate by gender in percentage - Corporate Office WL - Male % 0.00% 62
Lost day rate by gender in percentage - Development Properties WCDL - Female % 0.04% 62
Lost day rate by gender in percentage - Development Properties WCDL - Male % 0.17% 62
Lost day rate by gender in percentage - Hospitality Hotels - Female % 0.15% 62
Lost day rate by gender in percentage - Hospitality Hotels - Male % 0.06% 62
Lost day rate by gender in percentage - Investment Properties WCEL - Female % 0.03% 62
Lost day rate by gender in percentage - Investment Properties WCEL - Male % 0.05% 62
Lost day rate by gender in percentage - Leisure and Hospitality Wharf Hotels - Female % 0.00% 62
Lost day rate by gender in percentage - Leisure and Hospitality Wharf Hotels - Male % 0.00% 62
Lost day rate by gender in percentage - Logistics MTL - Female % 0.01% 62
Lost day rate by gender in percentage - Logistics MTL - Male % 0.56% 62
Lost day rate by gender in percentage - Total - Female % 0.06% 62
Lost day rate by gender in percentage - Total - Male % 0.23% 62
Lost day rate in percentage - Hong Kong SAR % 0.35% 62
Lost day rate in percentage - Mainland China % 0.07% 62
Lost day rate in percentage - Overall % 0.16% 62

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

Indicator Unit 2019 Report Pages
Absentee rate in percentage - Hong Kong SAR % 2.09% 62
Absentee rate in percentage - Mainland China % 0.86% 62
Absentee rate in percentage - Overall % 1.24% 62

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

Indicator Unit 2019 Report Pages
Percentage of employees trained - Female - Corporate Office WL % 77.14 63
Percentage of employees trained - Female - Development Properties WCDL % 82.49 63
Percentage of employees trained - Female - Investment Properties WCEL % 89.55 63
Percentage of employees trained - Female - Leisure and Hospitality Hotels % 100 63
Percentage of employees trained - Female - Leisure and Hospitality Wharf Hotels % 97.62 63
Percentage of employees trained - Female - Logistics MTL % 85.29 63
Percentage of employees trained - Female - Overall % 91.33 63
Percentage of employees trained - General staff - Corporate Office WL % 74.4 63
Percentage of employees trained - General staff - Development Properties WCDL % 84.88 63
Percentage of employees trained - General staff - Investment Properties WCEL % 90.11 63
Percentage of employees trained - General staff - Leisure and Hospitality Hotels % 100 63
Percentage of employees trained - General staff - Leisure and Hospitality Wharf Hotels % 100 63
Percentage of employees trained - General staff - Logistics MTL % 78.87 63
Percentage of employees trained - General staff - Overall % 89.74 63
Percentage of employees trained - Male - Corporate Office WL % 70.77 63
Percentage of employees trained - Male - Development Properties WCDL % 85.02 63
Percentage of employees trained - Male - Investment Properties WCEL % 90.65 63
Percentage of employees trained - Male - Leisure and Hospitality Hotels % 100 63
Percentage of employees trained - Male - Leisure and Hospitality Wharf Hotels % 100 63
Percentage of employees trained - Male - Logistics MTL % 79.83 63
Percentage of employees trained - Male - Overall % 88.63 63
Percentage of employees trained - Middle management - Corporate Office WL % 87.5 63
Percentage of employees trained - Middle management - Development Properties WCDL % 81.4 63
Percentage of employees trained - Middle management - Investment Properties WCEL % 91.3 63
Percentage of employees trained - Middle management - Leisure and Hospitality Hotels % 100 63
Percentage of employees trained - Middle management - Leisure and Hospitality Wharf Hotels % 100 63
Percentage of employees trained - Middle management - Logistics MTL % 85.65 63
Percentage of employees trained - Middle management - Overall % 91.43 63
Percentage of employees trained - Senior management - Corporate Office WL % 46.15 63
Percentage of employees trained - Senior management - Development Properties WCDL % 50 63
Percentage of employees trained - Senior management - Investment Properties WCEL % 66.67 63
Percentage of employees trained - Senior management - Leisure and Hospitality Wharf Hotels % 95.24 63
Percentage of employees trained - Senior management - Logistics MTL % 76.47 63
Percentage of employees trained - Senior management - Overall % 79.07 63

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

Indicator Unit 2017 2018 2019 Report Pages
Average number of training hours per employee - Female - Corporate Office WL hours 4.3 4.9 5.5 63
Average number of training hours per employee - Female - Development Properties WCDL hours 7 6.2 3.6 63
Average number of training hours per employee - Female - Investment Properties WCEL hours 11 12.1 14.8 63
Average number of training hours per employee - Female - Leisure and Hospitality Hotels hours 43.4 59.1 51.1 63
Average number of training hours per employee - Female - Leisure and Hospitality Wharf Hotels hours 12 5.7 22 63
Average number of training hours per employee - Female - Logistics MTL hours 25 27.7 19.9 63
Average number of training hours per employee - Female - Overall hours 19.8 26.2 24.8 63
Average number of training hours per employee - General staff - Corporate Office WL hours 2.3 2.4 3.8 63
Average number of training hours per employee - General staff - Development Properties WCDL hours 8.5 6.2 3.9 63
Average number of training hours per employee - General staff - Investment Properties WCEL hours 10.9 11.1 13.5 63
Average number of training hours per employee - General staff - Leisure and Hospitality Hotels hours 42.6 59.8 49.3 63
Average number of training hours per employee - General staff - Leisure and Hospitality Wharf Hotels hours 12 4.4 22.3 63
Average number of training hours per employee - General staff - Logistics MTL hours 17.1 27.9 21 63
Average number of training hours per employee - General staff - Overall hours 18.7 24.9 22.3 63
Average number of training hours per employee - Male - Corporate Office WL hours 2.2 4.1 7.6 63
Average number of training hours per employee - Male - Development Properties WCDL hours 7.3 4.9 5.2 63
Average number of training hours per employee - Male - Investment Properties WCEL hours 10.6 10.3 12.4 63
Average number of training hours per employee - Male - Leisure and Hospitality Hotels hours 40 58.7 50.8 63
Average number of training hours per employee - Male - Leisure and Hospitality Wharf Hotels hours 12 7.4 20.8 63
Average number of training hours per employee - Male - Logistics MTL hours 20 28.2 21.3 63
Average number of training hours per employee - Male - Overall hours 18.1 25 22.5 63
Average number of training hours per employee - Middle management - Corporate Office WL hours 7.4 12.1 17.5 63
Average number of training hours per employee - Middle management - Development Properties WCDL hours 2.9 3.5 7.1 63
Average number of training hours per employee - Middle management - Investment Properties WCEL hours 10 12 15.3 63
Average number of training hours per employee - Middle management - Leisure and Hospitality Hotels hours 33.9 59.7 58.3 63
Average number of training hours per employee - Middle management - Leisure and Hospitality Wharf Hotels hours 12 6.3 17.9 63
Average number of training hours per employee - Middle management - Logistics MTL hours 31.1 29.6 22.3 63
Average number of training hours per employee - Middle management - Overall hours 20.3 30.5 30.8 63
Average number of training hours per employee - Senior management - Corporate Office WL hours 5.7 6.5 2.6 63
Average number of training hours per employee - Senior management - Development Properties WCDL hours 1 7.4 3.1 63
Average number of training hours per employee - Senior management - Investment Properties WCEL hours 4.8 8.3 3.8 63
Average number of training hours per employee - Senior management - Leisure and Hospitality Hotels hours 42.6 15.9 41.5 63
Average number of training hours per employee - Senior management - Leisure and Hospitality Wharf Hotels hours 12 8 24.8 63
Average number of training hours per employee - Senior management - Logistics MTL hours 9.3 18.9 8.6 63
Average number of training hours per employee - Senior management - Overall hours 14.3 11.8 18.9 63
Average training hours per employee - Female hours 30.9 26.2 19.8 34
Average training hours per employee - General Staff hours 27.3 24.9 18.7 34
Average training hours per employee - Male hours 26.6 25 18.1 34
Average training hours per employee - Middle Management hours 35.8 30.5 20.3 34
Average training hours per employee - Overall hours 25.5 18.8 28.5 34
Average training hours per employee - Senior Management hours 23.5 14.3 11.8 34

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 2017 2018 2019
Direct GHG Emissions (Scope 1) tonnes CO2e 28217 15125 20486
Indirect Energy Emissions (Scope 2) tonnes CO2e 120543 157762 168082
Total GHG Emissions tonnes CO2e 148760 188765 207608
Total GHG Emissions Intensity (By Employee) tonnes CO2e/employee 37.26 39.33 41.98
Total GHG Emissions Intensity (By Revenue) tonnes CO2e/HK$ million revenues 6.12 8.97 12.3
Total Other Indirect Energy Emissions (Scope 3) tonnes CO2e 15878 15878 18690

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

Standard Indicator Unit 2017 2018 2019
Hazardous Waste Recycled tonnes 0.86 0.85 0.74

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 2019
Glass Waste tonnes 0.24 7.55 6.61
Non-Hazardous Waste (Electronic Waste) tonnes 1.63 4.78 0.13
Non-Hazardous Waste (Kitchen Waste) tonnes 1038.05 2969 5795.7
Non-Hazardous Waste Landfilling tonnes 12494 16117.66 18499.58
Non-Hazardous Waste Recycled tonnes 2063.44 3777.39 6575.03
Paper Waste tonnes 109.81 445.5 453.84

Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.

Standard Indicator Unit 2018 2019
Plastic Waste Reduction Compared to Last Year tonnes 22.97 -17.98
Plastic Waste Reduction Percentage Compared to Last Year % 234.01 -70.08

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 2017 2018 2019
Diesel Fuel Consumption GJ 333206 112616 104800
Energy Consumption Intensity (By Area) GJ/m² 0.47 0.38 0.41
Energy Consumption Intensity (By Employee) GJ/employee 285.79 259.59 271.9
Energy Consumption Intensity (By Revenue) GJ/HK$ million 46.92 59.18 79.68
Energy Consumption Intensity (By Unit Product) GJ/TEU 0.1 0.06 0.06
Gasoline Consumption GJ 3805 3186 3248
LPG Consumption GJ 7111 6991 6887
Natural Gas Consumption GJ 99840 226950 287202
Purchased Electricity GJ 745170 1007156 1074621
Purchased Steam GJ 8845
Renewable Energy Consumption GJ 4
Solar Energy GJ 4
Total Energy Consumption GJ 1141178 1246047 1344566

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

Standard Indicator Unit 2017 2018 2019
Groundwater Withdrawal m³ 71405 106054 93605
Municipal Water Consumption m³ 1241518 2164685 2537729
Recycled Water Usage m³ 8232 13084 7077
Water Consumption m³ 1323389 2385764 2732735
Water Consumption Intensity (By Revenue) m³/HK$ million 54.4 108.32 156.01

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

Standard Indicator Unit 2017 2018 2019
Number of Employees Aged 30-50 2196 2640 2621
Number of Employees Aged Above 50 479 576 592
Number of Employees Aged Below 30 1318 1584 1632
Number of Female Employees 1677 2073 2158
Number of Full-time Employees 3971 4777 4941
Number of Male Employees 2316 2727 2787
Number of New Employees 1080 1492 1149
Number of New Employees (Female) 560 794 610
Number of New Employees (Hong Kong) 130 188 175
Number of New Employees (Mainland China) 950 1304 974
Number of New Employees (Male) 520 698 539
Number of Part-time Employees 22 23 4
Number of Temporary Workers 59 46 37
Number of Total Employees 3993 4800 4945
Percentage of Employees Aged 30-50 % 55 55 53
Percentage of Employees Aged Above 50 % 12 12 14
Percentage of Employees Aged Below 30 % 33 33 33
Percentage of Employees in Hong Kong % 9 14 13
Percentage of Employees in Mainland China % 36 38 27
Percentage of Female Employees % 42.01 43.19 43.61
Percentage of Full-time Employees % 99.45 99.52 99.92
Percentage of Male Employees % 57.99 56.81 56.39
Percentage of New Employees % 27 31 23
Percentage of Part-time Employees % 0.55 0.48 0.08
Percentage of Temporary Workers % 1.48 0.96 0.75

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

Standard Indicator Unit 2019
Percentage of Employees still Employed 12 Months after Return to Work % 98
Percentage of Employees still Employed 12 Months after Return to Work (Female) % 89
Percentage of Employees still Employed 12 Months after Return to Work (Male) % 90
Turnover Rate of Employees Aged 30-50 % 20
Turnover Rate of Employees Aged Above 50 % 13
Turnover Rate of Employees Aged Below 30 % 52
Turnover Rate of Employees in Hong Kong % 15
Turnover Rate of Employees in Hong Kong and Mainland China % 29
Turnover Rate of Employees in Mainland China % 33
Turnover Rate of Female Employees % 35
Turnover Rate of Male Employees % 23

Lost days due to work injury.

Standard Indicator Unit 2019
Lost Days Due to Work-related Injuries % 0.16
Lost Days Due to Work-related Injuries (Hong Kong) % 0.35
Lost Days Due to Work-related Injuries (Mainland China) % 0.07

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

Standard Indicator Unit 2019
Percentage of Employees Trained % 91.33
Percentage of Trained Female Employees % 91.33
Percentage of Trained General Employees % 89.74
Percentage of Trained Male Employees % 88.63
Percentage of Trained Middle Management % 91.43
Percentage of Trained Senior Management % 79.07

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

Standard Indicator Unit 2017 2018 2019
Average Training Hours (Female) hours 30.9 26.2 19.8
Average Training Hours (General Staff) hours 27.3 24.9 18.7
Average Training Hours (Male) hours 26.6 25 18.1
Average Training Hours (Middle Management) hours 35.8 30.5 20.3
Average Training Hours (Senior Management) hours 23.5 14.3 11.8
Average Training Hours per Employee hours 25.5 18.8 28.5

Number of suppliers by geographical region.

Standard Indicator Unit
Proportion of Spending on Local Suppliers percent