Sustainability Report 2019

Company: WHARF REIC (1997)
Year: 2019
Published: 2020-05-11
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 no fines or non-monetary sanctions 72

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) - Investment Properties - WEL tonnes CO2e 410 61
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Investment Properties - WH tonnes CO2e 1 61
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - MPCZ tonnes CO2e 833 61
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes CO2e 1747 61
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Logistics - SF tonnes CO2e 4158 61
Direct (Scope 1) GHG Emissions (tonnes CO2e) - Total tonnes CO2e 7149 61
GHG Intensity (tonnes CO2e/unit) - By number of employee tonnes CO2e/employee 45.4 61
GHG Intensity (tonnes CO2e/unit) - By revenue (HK$ million) tonnes CO2e/HK$ million 8.15 61
GHG emissions in kg CO2e per passenger-km - The 'Star' Ferry kg CO2e/passenger-km 0.16 0.16 0.17 29
GHG emissions in tonnes CO2e - Scope 1 tonnes CO2e 6670 7468 7149 29
GHG emissions in tonnes CO2e - Scope 2 tonnes CO2e 121271 125130 123617 29
GHG emissions in tonnes CO2e per GFA m² - Crawford House tonnes CO2e/m² 0.09 0.1 0.13 29
GHG emissions in tonnes CO2e per GFA m² - Harbour City, Times Square and Plaza Hollywood tonnes CO2e/m² 0.22 0.16 0.17 29
GHG emissions in tonnes CO2e per GFA m² - Pacific Club tonnes CO2e/m² 0.03 0.03 0.03 29
GHG emissions in tonnes CO2e per GFA m² - Wheelock House tonnes CO2e/m² 0.12 0.1 0.12 29
GHG emissions in tonnes CO2e per guest night - Marco Polo Changzhou tonnes CO2e/guest night 0.033 0.031 0.035 29
GHG emissions in tonnes CO2e per guest night - Marco Polo Hotels tonnes CO2e/guest night 0.06 0.06 0.09 29
GHG emissions in tonnes CO2e per guest night - The Murray tonnes CO2e/guest night 0.12 0.11 29
Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Investment Properties - CH tonnes CO2e 3232 61
Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Investment Properties - WEL tonnes CO2e 87619 61
Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Investment Properties - WH tonnes CO2e 3068 61
Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - MPCZ tonnes CO2e 4803 61
Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes CO2e 24290 61
Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Logistics - SF tonnes CO2e 605 61
Indirect (Scope 2) GHG Emissions (tonnes CO2e) - Total tonnes CO2e 123617 61

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
General refuse to landfill - Investment Properties - CH tonnes 94.05 63
General refuse to landfill - Investment Properties - VH tonnes 169.61 63
General refuse to landfill - Investment Properties - WEL tonnes 12162.01 63
General refuse to landfill - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 2560.95 63
General refuse to landfill - Logistics - MPCZ tonnes 60.51 63
General refuse to landfill - Logistics - SF tonnes 727.25 63
General refuse to landfill - Total tonnes 20117.07 22889.3 15774.38 63
Grand total waste (General refuse to landfill + Incinerated waste + Waste collected for recycling) - Total tonnes 23787.91 63
Incinerated waste - Logistics - MPCZ tonnes 141.19 63
Incinerated waste - Logistics - SF tonnes 141.19 63
Waste collected for recycling - Non-hazardous waste - Food waste - Logistics - MPCZ tonnes 355.23 63
Waste collected for recycling - Non-hazardous waste - Food waste - Total tonnes 833.05 63
Waste collected for recycling - Non-hazardous waste - Glass - Investment Properties - WEL tonnes 25.87 63
Waste collected for recycling - Non-hazardous waste - Glass - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 42.47 63
Waste collected for recycling - Non-hazardous waste - Glass - Logistics - MPCZ tonnes 0.46 63
Waste collected for recycling - Non-hazardous waste - Glass - Logistics - SF tonnes 1.4 63
Waste collected for recycling - Non-hazardous waste - Glass - Total tonnes 70.2 63
Waste collected for recycling - Non-hazardous waste - Metals - Investment Properties - CH tonnes 0.16 63
Waste collected for recycling - Non-hazardous waste - Metals - Investment Properties - WEL tonnes 43.24 63
Waste collected for recycling - Non-hazardous waste - Metals - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 1.8 63
Waste collected for recycling - Non-hazardous waste - Metals - Logistics - MPCZ tonnes 0.97 63
Waste collected for recycling - Non-hazardous waste - Metals - Logistics - SF tonnes 0.13 63
Waste collected for recycling - Non-hazardous waste - Metals - Total tonnes 46.3 63
Waste collected for recycling - Non-hazardous waste - Plastics - Investment Properties - CH tonnes 0.1 63
Waste collected for recycling - Non-hazardous waste - Plastics - Investment Properties - VH tonnes 0.19 63
Waste collected for recycling - Non-hazardous waste - Plastics - Investment Properties - WEL tonnes 3.28 63
Waste collected for recycling - Non-hazardous waste - Plastics - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 1.55 63
Waste collected for recycling - Non-hazardous waste - Plastics - Logistics - MPCZ tonnes 3.82 63
Waste collected for recycling - Non-hazardous waste - Plastics - Logistics - SF tonnes 0.08 63
Waste collected for recycling - Non-hazardous waste - Plastics - Total tonnes 9.02 63
Waste collected for recycling - Non-hazardous waste - Soap - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 0.32 63
Waste collected for recycling - Non-hazardous waste - Soap - Total tonnes 0.32 63
Waste collected for recycling - Non-hazardous waste - Waste paper - Investment Properties - CH tonnes 7.56 63
Waste collected for recycling - Non-hazardous waste - Waste paper - Investment Properties - VH tonnes 14.43 63
Waste collected for recycling - Non-hazardous waste - Waste paper - Investment Properties - WEL tonnes 1504.42 63
Waste collected for recycling - Non-hazardous waste - Waste paper - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 200.9 63
Waste collected for recycling - Non-hazardous waste - Waste paper - Logistics - MPCZ tonnes 7.77 63
Waste collected for recycling - Non-hazardous waste - Waste paper - Logistics - SF tonnes 11.66 63
Waste collected for recycling - Non-hazardous waste - Waste paper - Total tonnes 1746.74 63

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 2019 Report Pages
Waste collected for recycling - Hazardous waste - Other - Investment Properties - WEL tonnes 35.63 63
Waste collected for recycling - Hazardous waste - Other - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 1.76 63
Waste collected for recycling - Hazardous waste - Other - Logistics - SF tonnes 0.45 63
Waste collected for recycling - Hazardous waste - Other - Total tonnes 37.84 63
Waste collected for recycling - Hazardous waste - Waste cooking oil - Investment Properties - WEL tonnes 5111.96 63
Waste collected for recycling - Hazardous waste - Waste cooking oil - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 8.42 63
Waste collected for recycling - Hazardous waste - Waste cooking oil - Logistics - MPCZ tonnes 1.23 63
Waste collected for recycling - Hazardous waste - Waste cooking oil - Total tonnes 5121.61 63
Waste collected for recycling - Hazardous waste - Waste industrial oil - Logistics - MPCZ tonnes 3.93 63
Waste collected for recycling - Hazardous waste - Waste industrial oil - Total tonnes 3.93 63
Waste collected for recycling - Non-hazardous waste - Clothes - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 1.53 63
Waste collected for recycling - Non-hazardous waste - Clothes - Total tonnes 1.53 63
Waste collected for recycling - Non-hazardous waste - Food waste - Investment Properties - WEL tonnes 381.54 63
Waste collected for recycling - Non-hazardous waste - Food waste - Leisure and Hospitality - PC, MPH, Apt, The Murray tonnes 96.28 63

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 consumption (Total) GJ 160 255 458 62
Energy intensity by number of employee GJ/unit 315.29 291.15 294.45 62
Energy intensity by revenue (HK$ million) GJ/unit 39.62 54.19 52.86 62
Energy intensity in GJ per GFA m² - Crawford House GJ/m² 0.53 0.31 0.3 28
Energy intensity in GJ per GFA m² - Harbour City, Times Square and Plaza Hollywood GJ/m² 0.74 0.79 0.83 28
Energy intensity in GJ per GFA m² - Pacific Club GJ/m² 1.64 0.56 0.57 28
Energy intensity in GJ per GFA m² - Wheelock House GJ/m² 0.55 0.65 0.62 28
Energy intensity in GJ per guest night - Marco Polo Changzhou GJ/guest night 0.26 0.25 0.28 28
Energy intensity in GJ per guest night - Marco Polo Hotels GJ/guest night 0.55 0.52 0.64 28
Energy intensity in GJ per guest night - The Murray GJ/guest night 0.41 0.44 0.55 28
Energy intensity in GJ per passenger-km - The 'Star' Ferry GJ/passenger-km 0.0018 0.0018 0.0019 28
Gas oil consumption (Total) GJ 52121 52302 50026 62
Liquefied petroleum gas (LPG) consumption (Total) GJ 164 84 40 62
Piped natural gas (PNG) consumption (Total) GJ 13912 15590 13477 62
Purchased electricity consumption (Total) GJ 733364 768407 754766 62
Self-generated renewable energy – Solar (Total) GJ 839 511 62
Total energy consumption (Total) GJ 828269 867059 848023 62
Towngas consumption (Total) GJ 27147 29249 28874 62
Unleaded petrol consumption (Total) GJ 562 481 382 62

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

Indicator Unit 2017 2018 2019 Report Pages
Municipal Water (m³) - Investment Properties - CH m³ 26394 61
Municipal Water (m³) - Investment Properties - WEL m³ 487975 61
Municipal Water (m³) - Investment Properties - WH m³ 21388 61
Municipal Water (m³) - Leisure and Hospitality - MPCZ m³ 79070 61
Municipal Water (m³) - Leisure and Hospitality - PC, MPH, Apt, The Murray m³ 373998 61
Municipal Water (m³) - Logistics - SF m³ 6215 61
Recycled Water (m³) - Investment Properties - WH m³ 1737 61
Water Intensity (m³/unit) - By number of employee m³/employee 345.5 61
Water Intensity (m³/unit) - By revenue (HK$ million) m³/HK$ million 62.02 61
Water intensity in m3 per GFA m2 - Crawford House m3/GFA m2 0.8 0.73 0.88 31
Water intensity in m3 per GFA m2 - Harbour City, Times Square and Plaza Hollywood m3/GFA m2 1.25 1.33 1.5 31
Water intensity in m3 per GFA m2 - Pacific Club m3/GFA m2 0.43 0.45 0.54 31
Water intensity in m3 per GFA m2 - Wheelock House m3/GFA m2 1.18 1.06 0.96 31
Water intensity in m3 per guest night - Marco Polo Changzhou m3/guest night 0.63 1.32 31
Water intensity in m3 per guest night - Marco Polo Hotels m3/guest night 0.53 0.58 0.58 31
Water intensity in m3 per guest night - The Murray m3/guest night 0.89 0.91 0.87 31
Water intensity in m3 per passenger-km - The 'Star' Ferry m3/passenger-km 0.00021 0.00022 0.00023 31

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

Indicator Unit 2017 2018 2019 Report Pages
Incidents of discrimination and corrective actions taken In 2019, there were no recorded incidents of non-compliance with anti-discrimination legislation. 73
New employee hires - 30–50 - Investment Properties (WEL) 61 65
New employee hires - 30–50 - Leisure and Hospitality (MPCZ) 33 65
New employee hires - 30–50 - Leisure and Hospitality (PC, MPH, Apt, The Murray) 178 65
New employee hires - 30–50 - Logistics (SF) 8 65
New employee hires - 30–50 - Total 280 65
New employee hires - Above 50 - Investment Properties (WEL) 21 65
New employee hires - Above 50 - Leisure and Hospitality (MPCZ) 5 65
New employee hires - Above 50 - Leisure and Hospitality (PC, MPH, Apt, The Murray) 64 65
New employee hires - Above 50 - Logistics (SF) 35 65
New employee hires - Above 50 - Total 125 65
New employee hires - Below 30 - Investment Properties (WEL) 86 65
New employee hires - Below 30 - Leisure and Hospitality (MPCZ) 32 65
New employee hires - Below 30 - Leisure and Hospitality (PC, MPH, Apt, The Murray) 123 65
New employee hires - Below 30 - Logistics (SF) 10 65
New employee hires - Below 30 - Total 251 65
New employee hires - Female - Investment Properties (WEL) 104 65
New employee hires - Female - Leisure and Hospitality (MPCZ) 26 65
New employee hires - Female - Leisure and Hospitality (PC, MPH, Apt, The Murray) 178 65
New employee hires - Female - Logistics (SF) 3 65
New employee hires - Female - Total 311 65
New employee hires - Male - Investment Properties (WEL) 64 65
New employee hires - Male - Leisure and Hospitality (MPCZ) 44 65
New employee hires - Male - Leisure and Hospitality (PC, MPH, Apt, The Murray) 187 65
New employee hires - Male - Logistics (SF) 50 65
New employee hires - Male - Total 345 65
Permanent contract employees, Female, 2017 1057 64
Permanent contract employees, Female, 2018 1216 64
Permanent contract employees, Female, 2019 1154 64
Permanent contract employees, Male, 2017 1281 64
Permanent contract employees, Male, 2018 1460 64
Permanent contract employees, Male, 2019 1431 64
Regional distribution of new employee hires - Hong Kong SAR 586 65
Regional distribution of new employee hires - Mainland China 70 65
Regional distribution of new employee hires - Total 656 65
Total workforce, Female, 2017 1215 64
Total workforce, Female, 2018 1340 64
Total workforce, Female, 2019 1298 64
Total workforce, Fixed-term, 2017 307 64
Total workforce, Fixed-term, 2018 323 64
Total workforce, Fixed-term, 2019 283 64
Total workforce, Full-time, 2017 2494 64
Total workforce, Full-time, 2018 2843 64
Total workforce, Full-time, 2019 2750 64
Total workforce, Male, 2017 1412 64
Total workforce, Male, 2018 1638 64
Total workforce, Male, 2019 1582 64
Total workforce, Part-time, 2017 133 64
Total workforce, Part-time, 2018 125 64
Total workforce, Part-time, 2019 130 64
Total workforce, Permanent, 2017 2275 64
Total workforce, Permanent, 2018 2652 64
Total workforce, Permanent, 2019 2585 64
Total workforce, Temporary, 2017 5 64
Total workforce, Temporary, 2018 3 64
Total workforce, Temporary, 2019 12 64

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

Indicator Unit 2018 2019 Report Pages
Absentee rate, Overall % 1.67 67
Employee turnover - 30–50 - Investment Properties (WEL) 61 65
Employee turnover - 30–50 - Leisure and Hospitality (MPCZ) 49 65
Employee turnover - 30–50 - Leisure and Hospitality (PC, MPH, Apt, The Murray) 285 65
Employee turnover - 30–50 - Logistics (SF) 41 65
Employee turnover - 30–50 - Total 416 65
Employee turnover - Above 50 - Investment Properties (WEL) 28 65
Employee turnover - Above 50 - Leisure and Hospitality (MPCZ) 13 65
Employee turnover - Above 50 - Leisure and Hospitality (PC, MPH, Apt, The Murray) 97 65
Employee turnover - Above 50 - Logistics (SF) 33 65
Employee turnover - Above 50 - Total 143 65
Employee turnover - Below 30 - Investment Properties (WEL) 105 65
Employee turnover - Below 30 - Leisure and Hospitality (MPCZ) 82 65
Employee turnover - Below 30 - Leisure and Hospitality (PC, MPH, Apt, The Murray) 196 65
Employee turnover - Below 30 - Logistics (SF) 18 65
Employee turnover - Below 30 - Total 401 65
Employee turnover - Female - Investment Properties (WEL) 123 65
Employee turnover - Female - Leisure and Hospitality (MPCZ) 69 65
Employee turnover - Female - Leisure and Hospitality (PC, MPH, Apt, The Murray) 291 65
Employee turnover - Female - Logistics (SF) 20 65
Employee turnover - Female - Total 503 65
Employee turnover - Male - Investment Properties (WEL) 71 65
Employee turnover - Male - Leisure and Hospitality (MPCZ) 75 65
Employee turnover - Male - Leisure and Hospitality (PC, MPH, Apt, The Murray) 287 65
Employee turnover - Male - Logistics (SF) 72 65
Employee turnover - Male - Total 505 65
Parental leave – Retention rate by gender, Investment Properties, WEL, Female 80% 66
Parental leave – Retention rate by gender, Investment Properties, WEL, Male 100% 66
Parental leave – Retention rate by gender, Leisure and Hospitality, MPCZ, Female 100% 66
Parental leave – Retention rate by gender, Leisure and Hospitality, MPCZ, Male 100% 66
Parental leave – Retention rate by gender, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female 71% 66
Parental leave – Retention rate by gender, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male 94% 66
Parental leave – Retention rate by gender, Logistics, SF, Female N/A 66
Parental leave – Retention rate by gender, Logistics, SF, Male 100% 66
Parental leave – Retention rate by gender, Overall, Female 78% 66
Parental leave – Retention rate by gender, Overall, Male 97% 66
Parental leave – Return to work rate, Investment Properties, WEL 100% 100% 66
Parental leave – Return to work rate, Leisure and Hospitality, MPCZ 100% 100% 66
Parental leave – Return to work rate, Leisure and Hospitality, PC, MPH, Apt, The Murray 100% 97% 66
Parental leave – Return to work rate, Logistics, SF – 100% 66
Parental leave – Return to work rate, Overall 100% 98% 66
Regional distribution of employee turnover - Hong Kong SAR 864 65
Regional distribution of employee turnover - Mainland China 144 65
Regional distribution of employee turnover - Total 1080 65

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 and by region per 1000 employees, Investment Properties, WEL, Female 13 66
Injury rate by gender and by region per 1000 employees, Investment Properties, WEL, Male 15 66
Injury rate by gender and by region per 1000 employees, Leisure and Hospitality, MPCZ, Female 24 66
Injury rate by gender and by region per 1000 employees, Leisure and Hospitality, MPCZ, Male 20 66
Injury rate by gender and by region per 1000 employees, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female 51 66
Injury rate by gender and by region per 1000 employees, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male 46 66
Injury rate by gender and by region per 1000 employees, Logistics, SF, Male 32 66
Injury rate by gender and by region per 1000 employees, Overall, Female 35 66
Injury rate by gender and by region per 1000 employees, Overall, Male 34 66
Injury rate by region per 1000 employees, Hong Kong SAR 38 66
Injury rate by region per 1000 employees, Mainland China 15 66
Injury rate by region per 1000 employees, Overall 35 66

Lost days due to work injury.

Indicator Unit 2019 Report Pages
Absentee rate by gender, Investment Properties, WEL, Female % 2.1 67
Absentee rate by gender, Investment Properties, WEL, Male % 1.8 67
Absentee rate by gender, Leisure and Hospitality, MPCZ, Female % 0.65 67
Absentee rate by gender, Leisure and Hospitality, MPCZ, Male % 0.17 67
Absentee rate by gender, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female % 1.54 67
Absentee rate by gender, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male % 1.73 67
Absentee rate by gender, Logistics, SF, Female % 1.49 67
Lost day rate by gender and by region in percentage, Investment Properties, WEL, Female 0.14% 66
Lost day rate by gender and by region in percentage, Investment Properties, WEL, Male 0.21% 66
Lost day rate by gender and by region in percentage, Leisure and Hospitality, MPCZ, Female 0.02% 66
Lost day rate by gender and by region in percentage, Leisure and Hospitality, MPCZ, Male 0.00% 66
Lost day rate by gender and by region in percentage, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female 0.12% 66
Lost day rate by gender and by region in percentage, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male 0.71% 66
Lost day rate by gender and by region in percentage, Logistics, SF, Female 0.00% 66
Lost day rate by gender and by region in percentage, Logistics, SF, Male 0.17% 66
Lost day rate by gender and by region in percentage, Overall, Female 0.11% 66
Lost day rate by gender and by region in percentage, Overall, Male 0.44% 66
Lost day rate by region in percentage, Hong Kong SAR 0.32% 66
Lost day rate by region in percentage, Mainland China 0.01% 66
Lost day rate by region in percentage, Overall 0.30% 66

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

Indicator Unit 2019 Report Pages
Absentee rate by gender, Logistics, SF, Male % 2.07 67
Absentee rate by gender, Overall, Female % 1.64 67
Absentee rate by gender, Overall, Male % 1.7 67
Absentee rate, Hong Kong SAR % 1.78 67
Absentee rate, Mainland China % 0.42 67

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, General staff, Overall % 84.42 67
Percentage of employees trained, Investment Properties, WEL, Female % 77.68 67
Percentage of employees trained, Investment Properties, WEL, Male % 81.57 67
Percentage of employees trained, Leisure and Hospitality, MPCZ, Female % 100 67
Percentage of employees trained, Leisure and Hospitality, MPCZ, Male % 100 67
Percentage of employees trained, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female % 84.64 67
Percentage of employees trained, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male % 87.33 67
Percentage of employees trained, Logistics, SF, Female % 86.36 67
Percentage of employees trained, Logistics, SF, Male % 94.33 67
Percentage of employees trained, Middle management, Overall % 93.47 67
Percentage of employees trained, Overall, Female % 83.74 67
Percentage of employees trained, Overall, Male % 87.74 67
Percentage of employees trained, Senior management, Overall % 75.47 67

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

Indicator Unit 2019 Report Pages
Average number of training hours per employee, General staff, Overall hours 19.9 67
Average number of training hours per employee, Investment Properties, WEL, Female hours 7 67
Average number of training hours per employee, Investment Properties, WEL, Male hours 18.4 67
Average number of training hours per employee, Leisure and Hospitality, MPCZ, Female hours 8 67
Average number of training hours per employee, Leisure and Hospitality, MPCZ, Male hours 7.2 67
Average number of training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, Female hours 32.2 67
Average number of training hours per employee, Leisure and Hospitality, PC, MPH, Apt, The Murray, Male hours 24.8 67
Average number of training hours per employee, Logistics, SF, Female hours 5.7 67
Average number of training hours per employee, Logistics, SF, Male hours 7.6 67
Average number of training hours per employee, Middle management, Overall hours 21.1 67
Average number of training hours per employee, Overall, Female hours 20.7 67
Average number of training hours per employee, Overall, Male hours 19.4 67
Average number of training hours per employee, Senior management, Overall hours 10.4 67

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

Indicator Unit 2019 Report Pages
Incidents of non-compliance concerning marketing communications In 2019, there were no recorded incidents of non-compliance. 73
Incidents of non-compliance concerning the health and safety impacts of products and services In 2019, there were no recorded incidents of non-compliance. 73
Non-compliance with laws and regulations in the social and economic area In 2019, there were no recorded incidents of non-compliance. 73

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

Indicator Unit 2019 Report Pages
Substantiated complaints concerning breaches of customer privacy and losses of customer data In 2019, there were no recorded incidents of non-compliance. 73

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

Indicator Unit 2019 Report Pages
Confirmed incidents of corruption and actions taken In 2019, there were no confirmed incidents of corruption. 71

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 6670 7468 7149
Indirect Energy Emissions (Scope 2) tonnes CO2e 121271 125130 123617
Total GHG Emissions tonnes CO2e 127941 132598 130766
Total GHG Emissions Intensity (By Employee) tonnes CO2e/employee 45.4
Total GHG Emissions Intensity (By Revenue) tonnes CO2e/HK$ million 8.15

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
Diversion Rate of Non-Hazardous Waste percent 33.01
Glass Waste tonnes 70.2
Non-Hazardous Waste (Kitchen Waste) tonnes 833.05
Non-Hazardous Waste Disposed tonnes 17910.76
Non-Hazardous Waste Incineration tonnes 282.38
Non-Hazardous Waste Landfilling tonnes 20117.07 22889.3 15774.38
Non-Hazardous Waste Recycled tonnes 1972.65
Paper Waste tonnes 1746.74
Plastic Waste tonnes 9.02
Recycling Rate of Non-Hazardous Waste percent 8.29
Total Non-Hazardous Waste Incineration tonnes 282.38

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 160 255 458
Energy Consumption Intensity (By Employee) GJ/unit 315.29 291.15 294.45
Energy Consumption Intensity (By Revenue) GJ/unit 39.62 54.19 52.86
LPG Consumption GJ 164 84 40
Natural Gas Consumption GJ 13912 15590 13477
Purchased Electricity GJ 733364 768407 754766
Solar Energy GJ 839 511
Total Energy Consumption GJ 828269 867059 848023

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

Standard Indicator Unit 2017 2019
Municipal Water Consumption m³ 6215
Recycled Water Usage m³ 1737
Water Consumption Intensity (By Revenue) m³/HK$ million 62.02
Water Withdrawal Intensity m³/employee 345.5

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 Female Employees 1215 1340 1298
Number of Full-time Employees 2494 2843 2750
Number of Male Employees 1412 1638 1582
Number of New Employees 656
Number of New Employees (Above 50) 125
Number of New Employees (Aged 30-50) 280
Number of New Employees (Aged Below 30) 251
Number of New Employees (Female) 311
Number of New Employees (Hong Kong) 586
Number of New Employees (Mainland China) 70
Number of New Employees (Male) 345
Number of Part-time Employees 133 125 130
Number of Temporary Workers 5 3 12
Number of Total Employees 2548 2978 2880
Percentage of Female Employees percent 47.71 45.01 45.07
Percentage of Full-time Employees percent 97.88 95.47 95.49
Percentage of Male Employees percent 55.41 55.01 54.93
Percentage of Part-time Employees percent 5.22 4.2 4.51
Percentage of Temporary Workers percent 0.2 0.1 0.42

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) % 78
Percentage of Employees still Employed 12 Months after Return to Work (Male) % 97
Turnover Rate of Employees Aged 30-50 416
Turnover Rate of Employees Aged Above 50 143
Turnover Rate of Employees Aged Below 30 401
Turnover Rate of Employees in Hong Kong 864
Turnover Rate of Employees in Hong Kong and Mainland China 1080
Turnover Rate of Employees in Mainland China 144
Turnover Rate of Female Employees 503
Turnover Rate of Male Employees 505

Lost days due to work injury.

Standard Indicator Unit 2019
Lost Days Due to Work-related Injuries % 0.3
Lost Days Due to Work-related Injuries (Hong Kong) % 0.32
Lost Days Due to Work-related Injuries (Mainland China) % 0.01

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

Standard Indicator Unit 2019
Percentage of Employees Trained % 84.42
Percentage of Trained Female Employees % 83.74
Percentage of Trained General Employees % 84.42
Percentage of Trained Male Employees % 87.74
Percentage of Trained Middle Management % 93.47
Percentage of Trained Senior Management % 75.47

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

Standard Indicator Unit 2019
Average Training Hours (Female) hours 20.7
Average Training Hours (General Staff) hours 19.9
Average Training Hours (Male) hours 19.4
Average Training Hours (Middle Management) hours 21.1
Average Training Hours (Senior Management) hours 10.4
Average Training Hours per Employee hours 19.9