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 | 43 |
| Hotels Direct GHG emissions (Scope 1) | tonnes CO2e | 8780 | 8096 | 43 |
| Hotels GHG emission intensity | kg CO2e/equivalent guest night | 14.59 | 17.29 | 43 |
| Hotels GHG emissions | tonnes CO2e | 53779 | 54303 | 43 |
| Hotels Indirect GHG emissions (Scope 2) | tonnes CO2e | 44999 | 46207 | 43 |
| Indirect GHG emissions (Scope 2) | tonnes CO2e | 51912 | 53527 | 43 |
| Properties – Mainland China Direct GHG emissions (Scope 1) | tonnes CO2e | 7 | 129 | 43 |
| Properties – Mainland China GHG emission intensity | kg CO2e/m2 | 0.75 | 0.65 | 43 |
| Properties – Mainland China GHG emissions | tonnes CO2e | 483 | 417 | 43 |
| Properties – Mainland China Indirect GHG emissions (Scope 2) | tonnes CO2e | 476 | 288 | 43 |
| Property development – Hong Kong Direct GHG emissions (Scope 1) | tonnes CO2e | 243 | 172 | 43 |
| Property development – Hong Kong GHG emission intensity | kg CO2e/m2 | 10.07 | 10.85 | 43 |
| Property development – Hong Kong GHG emissions | tonnes CO2e | 857 | 775 | 43 |
| Property development – Hong Kong Indirect GHG emissions (Scope 2) | tonnes CO2e | 614 | 603 | 43 |
| Property management – Hong Kong Direct GHG emissions (Scope 1) | tonnes CO2e | 1 | 1 | 43 |
| Property management – Hong Kong GHG emission intensity | kg CO2e/m2 | 40.44 | 33.7 | 43 |
| Property management – Hong Kong GHG emissions | tonnes CO2e | 5825 | 6430 | 43 |
| Property management – Hong Kong Indirect GHG emissions (Scope 2) | tonnes CO2e | 5824 | 6429 | 43 |
| Total GHG emissions | tonnes CO2e | 60944 | 61925 | 43 |
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 |
|---|---|---|---|---|
| Hazardous waste disposed - Battery (for industrial/commercial use) | pieces | 545 | 46 | |
| Hazardous waste disposed - Filler | kg | 3 | 46 | |
| Hazardous waste disposed - Filler, paint and solvent containers | pieces | 32 | 11 | 46 |
| Hazardous waste disposed - Retired lighting fitting | pieces | 4413 | 46 | |
| Hazardous waste disposed - Waste oil | kg | 18 | 46 |
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 |
|---|---|---|---|---|
| General waste disposed - Hotels | tonnes | 4428 | 2500 | 46 |
| General waste disposed - Property development – Hong Kong | tonnes | 10781 | 3328 | 46 |
| General waste disposed - Property management – Hong Kong | tonnes | 7423 | 46 | |
| General waste disposed - Property – Mainland China | tonnes | 10.86 | 0.14 | 46 |
| General waste disposed - Total | tonnes | 15220 | 13251 | 46 |
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 |
|---|---|---|---|---|
| Waste recycled - Aluminium cans | kg | 3835 | 4281 | 46 |
| Waste recycled - Food waste and donations | kg | 169889 | 472 | 46 |
| Waste recycled - Glass | kg | 25908 | 21165 | 46 |
| Waste recycled - Metal and iron | kg | 58790 | 42171 | 46 |
| Waste recycled - Old concrete | kg | 10000 | 9500 | 46 |
| Waste recycled - Paper/cardboard | kg | 148909 | 147222 | 46 |
| Waste recycled - Plastic bottles | kg | 16559 | 14734 | 46 |
| Waste recycled - Soap | kg | 1836 | 734 | 46 |
| Waste recycled - Used cooking oil | litre | 19576 | 5168 | 46 |
| Waste recycled - Wood | kg | 23690 | 42300 | 46 |
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 | 44 |
| Fuel consumption | GJ | 20903 | 17962 | 44 |
| Hotels electricity consumption | kWh | 66147823 | 65828685 | 44 |
| Hotels energy consumption | GJ | 372512 | 371057 | 44 |
| Hotels energy intensity | GJ/equivalent guest night | 0.12 | 0.12 | 44 |
| Hotels fuel consumption | GJ | 17454 | 15243 | 44 |
| Properties – Mainland China electricity consumption | kWh | 661855 | 369169 | 44 |
| Properties – Mainland China energy consumption | GJ | 2482 | 1672 | 44 |
| Properties – Mainland China energy intensity | GJ/m² | 0.004 | 0.003 | 44 |
| Properties – Mainland China fuel consumption | GJ | 99 | 343 | 44 |
| Property development – Hong Kong electricity consumption | kWh | 1145935 | 1077003 | 44 |
| Property development – Hong Kong energy consumption | GJ | 7463 | 6234 | 44 |
| Property development – Hong Kong energy intensity | GJ/m² | 0.09 | 0.09 | 44 |
| Property development – Hong Kong fuel consumption | GJ | 3337 | 2357 | 44 |
| Property management – Hong Kong electricity consumption | kWh | 9541036 | 10648806 | 44 |
| Property management – Hong Kong energy consumption | GJ | 34360 | 38336 | 44 |
| Property management – Hong Kong energy intensity | GJ/m² | 0.24 | 0.2 | 44 |
| Property management – Hong Kong fuel consumption | GJ | 12.5 | 18.5 | 44 |
| Total energy consumption | GJ | 416817 | 417299 | 44 |
| Towngas consumption in Hotels | GJ | 116926 | 118830 | 44 |
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 | 45 |
| Hotels water intensity | m³/equivalent guest night | 0.23 | 0.24 | 45 |
| Properties – Mainland China water consumption | m³ | 7253 | 20085 | 45 |
| Properties – Mainland China water intensity | m³/m² | 0.011 | 0.031 | 45 |
| Property development – Hong Kong water consumption | m³ | 37894 | 27966 | 45 |
| Property development – Hong Kong water intensity | m³/m² | 0.45 | 0.62 | 45 |
| Property management – Hong Kong water consumption | m³ | 27774 | 25328 | 45 |
| Property management – Hong Kong water intensity | m³/m² | 0.19 | 0.13 | 45 |
| Total site area, Nos.9-19 Kam Wa Street, Shau Kei Wan, Hong Kong | square metres | 518 | 8 | |
| Total water consumption | m³ | 917342 | 840654 | 45 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Mount Regalia certificate of compliance date at 23 Lai Ping Road, Kau To, Sha Tin, New Territories | February 2019 | 6 | |||
| Mount Regalia occupation permit issue date at 23 Lai Ping Road, Kau To, Sha Tin, New Territories | September 2018 | 6 | |||
| Tianjin Project - Regal Renaissance: presale of one office tower | units | 137 | 9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Contract workforce | number of people | 205 | 176 | 47 |
| Female workforce | number of people | 1124 | 1139 | 47 |
| General employees workforce | number of people | 1890 | 2103 | 47 |
| Male workforce | number of people | 1225 | 1232 | 47 |
| Middle management workforce | number of people | 367 | 226 | 47 |
| Permanent workforce | number of people | 2136 | 2191 | 47 |
| Senior management workforce | number of people | 92 | 42 | 47 |
| The Ascent certificate of compliance date at No.83 Shun Ning Road, Sham Shui Po, Kowloon | July 2018 | 6 | ||
| The Ascent occupation permit issue date at No.83 Shun Ning Road, Sham Shui Po, Kowloon | March 2018 | 6 | ||
| Total workforce | number of people | 2349 | 2371 | 47 |
| We Go MALL soft opening date at No.16 Po Tai Street, Ma On Shan, Sha Tin, New Territories | May 2018 | 6 | ||
| Workforce 25–less than 40 | number of people | 769 | 759 | 47 |
| Workforce 40–less than 55 | number of people | 973 | 961 | 47 |
| Workforce 55 or above | number of people | 423 | 478 | 47 |
| Workforce under 25 | number of people | 184 | 173 | 47 |
| iclub Sheung Wan II Hotel ownership by P&R Holdings | ownership | 50% | 7 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Total number of lost days due to work injuries | number of days | 2004.5 | 2975 | 47 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Percentage of employees trained by employment category - General employees | % | 58 | 48 | |
| Percentage of employees trained by employment category - Middle management | % | 54 | 48 | |
| Percentage of employees trained by employment category - Senior management | % | 52 | 48 | |
| Percentage of employees trained by gender - Female | % | 54 | 48 | |
| Percentage of employees trained by gender - Male | % | 60 | 48 | |
| Trainee workforce | number of people | 8 | 4 | 47 |
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 | 48 |
| Average training hours by employment category - Middle management | number of hours | 8 | 5 | 48 |
| Average training hours by employment category - Senior management | number of hours | 15 | 6 | 48 |
| Average training hours by gender - Female | number of hours | 6 | 4 | 48 |
| Average training hours by gender - Male | number of hours | 6 | 4 | 48 |
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 | 48 |
| Number of suppliers by geographical region - Mainland China | number of suppliers | 267 | 371 | 48 |
| Number of suppliers by geographical region - Overseas | number of suppliers | 70 | 75 | 48 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Chengdu Project - Regal Cosmopolitan City: presale of one office tower | units | 434 | 9 | |
| Chengdu Project - Regal Cosmopolitan City: presale of seven residential towers | units | 1130 | 9 | |
| Chengdu Project - Regal Cosmopolitan City: presale of three residential towers | units | 425 | 9 |
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 | 3 |
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 | 13251 |
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 |
|---|---|---|
| Plastic Waste Reduction Percentage Compared to Last Year | % | -10.39 |
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 |
| 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 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Water Consumption Reduction Percentage Compared to Last Year | % |
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 | 205 | 176 |
| Number of Employees Aged 30-50 | number of people | 769 | 759 |
| Number of Employees Aged Above 50 | number of people | 423 | 478 |
| Number of Employees Aged Below 30 | number of people | 184 | 173 |
| Number of Female Employees | number of people | 1124 | 1139 |
| Number of Full-time Employees | number of people | 2136 | 2191 |
| Number of General Employees | number of people | 1890 | 2103 |
| Number of Male Employees | number of people | 1225 | 1232 |
| Number of Middle Management Employees | number of people | 367 | 226 |
| Number of Senior Management Employees | number of people | 92 | 42 |
| Number of Total Employees | number of people | 2349 | 2371 |
| Percentage of Contractors | percent | 8.73 | 7.43 |
| Percentage of Employees Aged 30-50 | percent | 32.75 | 32.01 |
| Percentage of Employees Aged Above 50 | percent | 18.02 | 20.16 |
| Percentage of Employees Aged Below 30 | percent | 7.84 | 7.3 |
| Percentage of Female Employees | percent | 47.87 | 48.04 |
| Percentage of Full-time Employees | percent | 90.98 | 92.42 |
| Percentage of General Employees | percent | 80.48 | 88.7 |
| Percentage of Male Employees | percent | 52.17 | 51.96 |
| Percentage of Middle Management Employees | percent | 15.63 | 9.53 |
| Percentage of Senior Management Employees | percent | 3.92 | 1.77 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | number of days | 2004.5 | 2975 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 58 |
| Percentage of Trained Female Employees | % | 54 |
| Percentage of Trained General Employees | % | 58 |
| Percentage of Trained Male Employees | % | 60 |
| Percentage of Trained Middle Management | % | 54 |
| Percentage of Trained Senior Management | % | 52 |
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 |