2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Direct GHG emissions (Scope 1) | tonnes CO2e | 9032 | 8398 | 42 |
Direct GHG emissions (Scope 1) - Hotels | tonnes CO2e | 8780 | 8096 | 42 |
Direct GHG emissions (Scope 1) - Properties – Mainland China | tonnes CO2e | 7 | 129 | 42 |
Direct GHG emissions (Scope 1) - Property development – Hong Kong | tonnes CO2e | 243 | 172 | 42 |
Direct GHG emissions (Scope 1) - Property management – Hong Kong | tonnes CO2e | 1 | 1 | 42 |
GHG emission intensity - Hotels | kg CO2e/equivalent guest night | 14.59 | 17.29 | 42 |
GHG emission intensity - Properties – Mainland China | kg CO2e/m2 | 0.75 | 0.65 | 42 |
GHG emission intensity - Property development – Hong Kong | kg CO2e/m2 | 10.07 | 10.85 | 42 |
GHG emission intensity - Property management – Hong Kong | kg CO2e/m2 | 40.44 | 33.7 | 42 |
GHG emissions - Hotels | tonnes CO2e | 53779 | 54303 | 42 |
GHG emissions - Properties – Mainland China | tonnes CO2e | 483 | 417 | 42 |
GHG emissions - Property development – Hong Kong | tonnes CO2e | 857 | 775 | 42 |
GHG emissions - Property management – Hong Kong | tonnes CO2e | 5825 | 6430 | 42 |
Indirect GHG emissions (Scope 2) | tonnes CO2e | 51912 | 53527 | 42 |
Indirect GHG emissions (Scope 2) - Hotels | tonnes CO2e | 44999 | 46207 | 42 |
Indirect GHG emissions (Scope 2) - Properties – Mainland China | tonnes CO2e | 476 | 288 | 42 |
Indirect GHG emissions (Scope 2) - Property development – Hong Kong | tonnes CO2e | 614 | 603 | 42 |
Indirect GHG emissions (Scope 2) - Property management – Hong Kong | tonnes CO2e | 5824 | 6429 | 42 |
Total GHG emissions | tonnes CO2 equivalent | 60944 | 61925 | 42 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Filler hazardous waste disposed | kg | 3 | 44 | |
Filler, paint and solvent containers hazardous waste disposed | pieces | 32 | 11 | 44 |
Retired lighting fitting hazardous waste disposed | pieces | 4413 | 44 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Aluminium cans recycled | kg | 3835 | 4281 | 44 |
Food waste and donations recycled | kg | 169889 | 472 | 44 |
General waste disposed | tonnes | 15220 | 13251 | 44 |
Glass recycled | kg | 25908 | 21165 | 44 |
Hotels general waste disposed | tonnes | 4428 | 2500 | 44 |
Metal and iron recycled | kg | 58790 | 42171 | 44 |
Paper/cardboard recycled | kg | 148909 | 147222 | 44 |
Plastic bottles recycled | kg | 16559 | 14734 | 44 |
Property development – Hong Kong general waste disposed | tonnes | 10781 | 3328 | 44 |
Property management – Hong Kong general waste disposed | tonnes | 7423 | 44 | |
Property – Mainland China general waste disposed | tonnes | 10.86 | 0.14 | 44 |
Soap recycled | kg | 1836 | 734 | 44 |
Wood recycled | kg | 23690 | 42300 | 44 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Battery (for industrial/commercial use) hazardous waste disposed | pieces | 545 | 44 | |
Old concrete recycled | kg | 10000 | 9500 | 44 |
Used cooking oil recycled | litre | 19576 | 5168 | 44 |
Waste oil hazardous waste disposed | kg | 18 | 44 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Electricity consumption | kWh | 77496649 | 77918663 | 43 |
Fuel consumption | GJ | 20903 | 17962 | 43 |
Hotels electricity consumption | kWh | 66147823 | 65828685 | 43 |
Hotels energy consumption | GJ | 372512 | 371057 | 43 |
Hotels energy intensity | GJ/equivalent guest night | 0.12 | 0.12 | 43 |
Hotels fuel consumption | GJ | 17454 | 15243 | 43 |
Properties – Mainland China electricity consumption | kWh | 661855 | 369169 | 43 |
Properties – Mainland China energy consumption | GJ | 2482 | 1672 | 43 |
Properties – Mainland China energy intensity | GJ/m² | 0.004 | 0.003 | 43 |
Properties – Mainland China fuel consumption | GJ | 99 | 343 | 43 |
Property development – Hong Kong electricity consumption | kWh | 1145935 | 1077003 | 43 |
Property development – Hong Kong energy consumption | GJ | 7463 | 6234 | 43 |
Property development – Hong Kong energy intensity | GJ/m² | 0.09 | 0.09 | 43 |
Property development – Hong Kong fuel consumption | GJ | 3337 | 2357 | 43 |
Property management – Hong Kong electricity consumption | kWh | 9541036 | 10648806 | 43 |
Property management – Hong Kong energy consumption | GJ | 34360 | 38336 | 43 |
Property management – Hong Kong energy intensity | GJ/m² | 0.24 | 0.2 | 43 |
Property management – Hong Kong fuel consumption | GJ | 12.5 | 18.5 | 43 |
Total energy consumption | GJ | 416817 | 417299 | 43 |
Towngas consumption in Hotels | GJ | 116926 | 118830 | 43 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Hotels water consumption | m³ | 844230 | 767683 | 44 |
Hotels water intensity | m³/equivalent guest night | 0.23 | 0.24 | 44 |
Properties – Mainland China water consumption | m³ | 7253 | 20085 | 44 |
Properties – Mainland China water intensity | m³/m² | 0.011 | 0.031 | 44 |
Property development – Hong Kong water consumption | m³ | 37894 | 27966 | 44 |
Property development – Hong Kong water intensity | m³/m² | 0.45 | 0.62 | 44 |
Property management – Hong Kong water consumption | m³ | 27774 | 25328 | 44 |
Property management – Hong Kong water intensity | m³/m² | 0.19 | 0.13 | 44 |
Total water consumption | m³ | 917342 | 840654 | 44 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Total workforce by age group - 25 – less than 40 | number of people | 718 | 715 | 45 |
Total workforce by age group - 40 – less than 55 | number of people | 932 | 928 | 45 |
Total workforce by age group - 55 or above | number of people | 408 | 462 | 45 |
Total workforce by age group - Under 25 | number of people | 181 | 168 | 45 |
Total workforce by employment category - General employees | number of people | 1810 | 2027 | 45 |
Total workforce by employment category - Middle management | number of people | 354 | 213 | 45 |
Total workforce by employment category - Senior management | number of people | 75 | 33 | 45 |
Total workforce by employment contract - Contract | number of people | 203 | 175 | 45 |
Total workforce by employment contract - Permanent | number of people | 2028 | 2094 | 45 |
Total workforce by employment contract - Total workforce | number of people | 2239 | 2273 | 45 |
Total workforce by employment contract - Trainee | number of people | 8 | 4 | 45 |
Total workforce by gender - Female | number of people | 1063 | 1083 | 45 |
Total workforce by gender - Male | number of people | 1176 | 1190 | 45 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Total number of lost days due to work injuries | number of days | 2001.5 | 2975 | 45 |
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 by employment category - General employees | % | 57 | 46 |
Percentage of employees trained by employment category - Middle management | % | 53 | 46 |
Percentage of employees trained by employment category - Senior management | % | 42 | 46 |
Percentage of employees trained by gender - Female | % | 52 | 46 |
Percentage of employees trained by gender - Male | % | 59 | 46 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Average training hours by employment category - General employees | number of hours | 6 | 4 | 46 |
Average training hours by employment category - Middle management | number of hours | 8 | 5 | 46 |
Average training hours by employment category - Senior management | number of hours | 15 | 6 | 46 |
Average training hours by gender - Female | number of hours | 6 | 4 | 46 |
Average training hours by gender - Male | number of hours | 6 | 4 | 46 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Number of suppliers by geographical region - Hong Kong | number of suppliers | 2282 | 2522 | 46 |
Number of suppliers by geographical region - Mainland China | number of suppliers | 267 | 371 | 46 |
Number of suppliers by geographical region - Overseas | number of suppliers | 70 | 75 | 46 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 9032 | 8398 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 51912 | 53527 |
Total GHG Emissions | tonnes CO2e | 60944 | 61925 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Hazardous Waste Disposed | kg | 32 | 4427 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Non-Hazardous Waste Disposed | tonnes | 15220 | 7423 |
Non-Hazardous Waste Recycled | kg | 169889 | 472 |
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 | 2019 |
---|---|---|
Hazardous Waste Intensity Reduction Percentage Compared to Last Year | None |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Energy Consumption Intensity (By Area) | GJ/m² | 0.004 | 0.003 |
Grid Electricity Consumption | kWh | 77496649 | 77918663 |
Purchased Electricity | kWh | 77496649 | 77918663 |
Total Direct Energy Consumption | GJ | 20903 | 17962 |
Total Energy Consumption | GJ | 416817 | 417299 |
Total Indirect Energy Consumption | kWh | 77496649 | 77918663 |
Total Non-Renewable Fuel Consumption | GJ | 20903 | 17962 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Water Consumption | m³ | 917342 | 840654 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Number of Contractors | number of people | 203 | 175 |
Number of Employees Aged 30-50 | number of people | 718 | 715 |
Number of Employees Aged Above 50 | number of people | 408 | 462 |
Number of Employees Aged Below 30 | number of people | 181 | 168 |
Number of Female Employees | number of people | 1063 | 1083 |
Number of General Employees | number of people | 1810 | 2027 |
Number of Interns | number of people | 8 | 4 |
Number of Male Employees | number of people | 1176 | 1190 |
Number of Middle Management Employees | number of people | 354 | 213 |
Number of Senior Management Employees | number of people | 75 | 33 |
Number of Total Employees | number of people | 2239 | 2273 |
Percentage of Contractors | percent | 9.07 | 7.7 |
Percentage of Employees Aged 30-50 | percent | 32.07 | 31.47 |
Percentage of Employees Aged Above 50 | percent | 18.22 | 20.33 |
Percentage of Employees Aged Below 30 | percent | 8.09 | 7.39 |
Percentage of Female Employees | percent | 47.47 | 47.64 |
Percentage of General Employees | percent | 80.85 | 89.22 |
Percentage of Interns | percent | 0.36 | 0.18 |
Percentage of Male Employees | percent | 52.53 | 52.36 |
Percentage of Middle Management Employees | percent | 15.82 | 9.38 |
Percentage of Senior Management Employees | percent | 3.35 | 1.45 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Lost Days Due to Work-related Injuries | number of days | 2001.5 | 2975 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Trained Female Employees | % | 52 |
Percentage of Trained General Employees | % | 57 |
Percentage of Trained Male Employees | % | 59 |
Percentage of Trained Middle Management | % | 53 |
Percentage of Trained Senior Management | % | 42 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Average Training Hours (Female) | number of hours | 6 | 4 |
Average Training Hours (General Employees) | number of hours | 6 | 4 |
Average Training Hours (Male) | number of hours | 6 | 4 |
Average Training Hours (Middle Management) | number of hours | 8 | 5 |
Average Training Hours (Senior Management) | number of hours | 15 | 6 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Number of Suppliers in Hong Kong | number of suppliers | 2282 | 2522 |
Number of Suppliers in Mainland China | number of suppliers | 267 | 371 |
Number of Suppliers in Overseas | number of suppliers | 70 | 75 |
Number of Total Suppliers | number of suppliers | 2619 | 2968 |