2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Nitrogen Oxides | kg | 83 | 339.2 | 28 |
| Respirable Suspended Particulates | kg | 1.7 | 19 | 28 |
| Sulfur Oxides | kg | 0.88 | 0.89 | 28 |
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 |
|---|---|---|---|---|
| Intensity of GHG (in area) | tonnes of CO2e/m2 | 0.11 | 0.01 | 28 |
| Intensity of GHG (in turnover) | tonnes of CO2e/HKS million | 24.6 | 19.3 | 28 |
| Scope 1: Direct GHG Emissions | tonnes of CO2e | 501.7 | 531.2 | 28 |
| Scope 2: Energy indirect GHG Emissions | tonnes of CO2e | 8132.7 | 7133.5 | 28 |
| Scope 3: Other indirect GHG Emissions | tonnes of CO2e | 75.8 | 86.3 | 28 |
| Total GHG emissions | tonnes of CO2e | 8710.2 | 7751 | 28 |
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 |
|---|---|---|---|---|
| Intensity of hazardous waste (in area) | tonnes/thousand m2 | 0.0004 | 0.0005 | 28 |
| Total hazardous waste | tonnes | 0.03 | 0.33 | 28 |
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 |
|---|---|---|---|---|
| Intensity of non-hazardous waste (in area) | tonnes/thousand m2 | 0.544 | 0.224 | 28 |
| Paper consumption | tonnes | 7.3 | 8.3 | 28 |
| Total non-hazardous waste | tonnes | 42 | 148.8 | 28 |
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 |
|---|---|---|---|---|
| Intensity of energy (in area) | MWh/m2 | 0.24 | 0.03 | 28 |
| Non-renewable fuel (direct energy) | MWh | 595.4 | 775 | 28 |
| Outsourcing energy (indirect energy) | MWh | 17710.6 | 15935.6 | 28 |
| Renewable energy (direct energy) | MWh | 4355.2 | 28 | |
| Total energy consumption | MWh | 18306 | 21065.8 | 28 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Intensity of water consumption (in area) | m3/m2 | 1.38 | 0.37 | 28 |
| Total water consumption | m3 | 106633 | 244478 | 28 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of employees by age group, 30–40 | 173 | 29 | ||
| Number of employees by age group, 41–50 | 107 | 29 | ||
| Number of employees by age group, above 50 | 79 | 29 | ||
| Number of employees by age group, below 30 | 239 | 29 | ||
| Number of employees, Gold Club and Golf Course | 29 | 29 | ||
| Number of employees, Golf Hotel | 69 | 29 | ||
| Number of employees, Hong Kong Headquarter | 124 | 134 | 29 | |
| Number of employees, Hong Kong International Medical Centre | 81 | 29 | ||
| Number of employees, Wuxi Hotel | 247 | 253 | 29 | |
| Number of employees, Wuxi Property Investment Office | 30 | 32 | 29 | |
| Number of female employees, general employees | 235 | 29 | ||
| Number of female employees, middle management | 54 | 29 | ||
| Number of female employees, senior management | 12 | 29 | ||
| Number of male employees, general employees | 178 | 29 | ||
| Number of male employees, middle management | 287 | 29 | ||
| Number of male employees, senior management | 35 | 29 | ||
| Number of new employees by age group, 30–40 | 82 | 29 | ||
| Number of new employees by age group, 41–50 | 28 | 29 | ||
| Number of new employees by age group, above 50 | 19 | 29 | ||
| Number of new employees by age group, below 30 | 146 | 29 | ||
| Number of new female employees, general employees | 130 | 29 | ||
| Number of new female employees, middle management | 21 | 29 | ||
| Number of new female employees, senior management | 6 | 29 | ||
| Number of new male employees, general employees | 83 | 29 | ||
| Number of new male employees, middle management | 24 | 29 | ||
| Number of new male employees, senior management | 11 | 29 | ||
| Percentage of new employees - Gold Club and Golf Course | % | 21% | 30 | |
| Percentage of new employees - Golf Hotel | % | 99% | 30 | |
| Percentage of new employees - Hong Kong Headquarter | % | 25% | 22% | 30 |
| Percentage of new employees - Hong Kong International Medical Centre | % | 52% | 30 | |
| Percentage of new employees - Wuxi Hotel | % | 53% | 51% | 30 |
| Percentage of new employees - Wuxi Property Investment Office | % | 0% | 0% | 30 |
| Ratio of male to female average salary - Gold Club and Golf Course | 1.08:1 | 30 | ||
| Ratio of male to female average salary - Golf Hotel | 1.56:1 | 30 | ||
| Ratio of male to female average salary - Hong Kong Headquarter | 2.41:1 | 30 | ||
| Ratio of male to female average salary - Hong Kong International Medical Centre | 2.67:1 | 30 | ||
| Ratio of male to female average salary - Wuxi Hotel | 1.02:1 | 30 | ||
| Ratio of male to female average salary - Wuxi Property Investment Office | 0.92:1 | 30 | ||
| Ratio of male to female employees | 0.92 : 1 | 29 | ||
| Ratio of new employees by age group, 30–40 | 47% | 29 | ||
| Ratio of new employees by age group, 41–50 | 26% | 29 | ||
| Ratio of new employees by age group, above 50 | 24% | 29 | ||
| Ratio of new employees by age group, below 30 | 61% | 29 | ||
| Ratio of new employees to total employees | 46% | 29 | ||
| Ratio of new female employees to total female employees | 50% | 29 | ||
| Ratio of new male employees to total male employees | 41% | 29 | ||
| Total number of employees | 401 | 598 | 29 | |
| Total number of new employees | 275 | 29 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of employees' turnover - Female General employees | 121 | 30 | ||
| Number of employees' turnover - Female Middle management | 14 | 30 | ||
| Number of employees' turnover - Male General employees | 84 | 30 | ||
| Number of employees' turnover - Male Middle management | 105 | 30 | ||
| Number of employees' turnover - Male Senior management | 4 | 30 | ||
| Percentage of employees' turnover - Gold Club and Golf Course | % | 28% | 30 | |
| Percentage of employees' turnover - Golf Hotel | % | 68% | 30 | |
| Percentage of employees' turnover - Hong Kong Headquarter | % | 23% | 17% | 30 |
| Percentage of employees' turnover - Hong Kong International Medical Centre | % | 47% | 30 | |
| Percentage of employees' turnover - Wuxi Hotel | % | 52% | 49% | 30 |
| Percentage of employees' turnover - Wuxi Property Investment Office | % | 0% | 0% | 30 |
| Total number of employees' turnover | 240 | 30 | ||
| Total turnover rate | % | 40% | 30 | |
| Turnover rate - Female Middle management | % | 43% | 30 | |
| Turnover rate - Male Middle management | % | 37% | 30 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number and percentage of work-related fatalities | 0 (0%) | 0 (0%) | 0 (0%) | 31 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number and percentage of employees trained (Gold Club and Golf Course) | 0 (0%) | 31 | ||
| Number and percentage of employees trained (Golf Hotel) | 2 (3%) | 31 | ||
| Number and percentage of employees trained (Hong Kong Headquarter) | 62 (50%) | 67 (50%) | 31 | |
| Number and percentage of employees trained (Hong Kong International Medical Centre) | 44 (54%) | 31 | ||
| Number and percentage of employees trained (Wuxi Hotel) | 247 (100%) | 253 (100%) | 31 | |
| Number and percentage of employees trained (Wuxi Property Investment Office) | 0 (0%) | 7 (22%) | 31 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 1.7 | 19 |
| NOₓ Emissions | kg | 83 | 339.2 |
| SOₓ Emissions | kg | 0.88 | 0.89 |
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 of CO2e | 501.7 | 531.2 |
| Indirect Energy Emissions (Scope 2) | tonnes of CO2e | 8132.7 | 7133.5 |
| Total GHG Emissions | tonnes of CO2e | 8710.2 | 7751 |
| Total GHG Emissions Intensity (By Area) | tonnes of CO2e/m2 | 0.11 | 0.01 |
| Total GHG Emissions Intensity (By Revenue) | tonnes of CO2e/HKS million | 24.6 | 19.3 |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes of CO2e | 75.8 | 86.3 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Total Hazardous Waste | tonnes | 0.03 | 0.33 |
| Total Hazardous Waste Intensity (By Area) | tonnes/thousand m2 | 0.0004 | 0.0005 |
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 | 42 | 148.8 |
| Paper Waste | tonnes | 7.3 | 8.3 |
| Total Non-Hazardous Waste Intensity (By Area) | tonnes/thousand m2 | 0.544 | 0.224 |
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) | MWh/m2 | 0.24 | 0.03 |
| Percentage of Renewable Energy Consumption | % | 20.68 | |
| Renewable Energy Consumption | MWh | 4355.2 | |
| Total Direct Energy Consumption | MWh | 595.4 | 5130.2 |
| Total Energy Consumption | MWh | 18306 | 21065.8 |
| Total Indirect Energy Consumption | MWh | 17710.6 | 15935.6 |
| Total Non-Renewable Fuel Consumption | MWh | 595.4 | 775 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Water Consumption | m3 | 106633 | 244478 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Employees Aged 30-50 | 280 | ||
| Number of Employees Aged Above 50 | 79 | ||
| Number of Employees Aged Below 30 | 239 | ||
| Number of Employees in Hong Kong | 124 | 134 | |
| Number of Employees in Mainland China | 277 | 384 | |
| Number of Female Employees | 301 | ||
| Number of General Employees (Female) | 235 | ||
| Number of General Employees(Male) | 178 | ||
| Number of Male Employees | 500 | ||
| Number of Middle Management Employees (Female) | 54 | ||
| Number of Middle Management Employees (Male) | 287 | ||
| Number of New Employees | 275 | ||
| Number of New Employees (Above 50) | 19 | ||
| Number of New Employees (Aged 30-50) | 110 | ||
| Number of New Employees (Aged Below 30) | 146 | ||
| Number of New Employees (Female) | 157 | ||
| Number of New Employees (General Employees) | 213 | ||
| Number of New Employees (General Employees) (Female) | 130 | ||
| Number of New Employees (General Employees) (Male) | 83 | ||
| Number of New Employees (Male) | 118 | ||
| Number of New Employees (Middle Management) | 45 | ||
| Number of New Employees (Middle Management) (Female) | 21 | ||
| Number of New Employees (Middle Management) (Male) | 24 | ||
| Number of New Employees (Senior Management) | 17 | ||
| Number of New Employees (Senior Management) (Female) | 6 | ||
| Number of New Employees (Senior Management) (Male) | 11 | ||
| Number of Senior Management Employees (Female) | 12 | ||
| Number of Senior Management Employees (Male) | 35 | ||
| Number of Total Employees | 401 | 598 | |
| Percentage of New Employees | % | 46 | |
| Percentage of New Employees (Female) | % | 50 | |
| Percentage of New Employees (Male) | % | 41 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Turnover Rate of Employees in Hong Kong | % | 23 | 17 |
| Turnover Rate of Employees in Mainland China | % | 52 | 49 |
| Turnover Rate of Middle Management Employees | % | 43 | |
| Turnover Rate of Total Employees | % | 40 |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | days |
| Lost Days Due to Work-related Injuries (Hong Kong) | days |
| Lost Days Due to Work-related Injuries (Mainland China) | days |
| Rate of Work-related Injuries | % |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 54 |
| Percentage of Trained Female Employees | % | ||
| Percentage of Trained General Employees | % | ||
| Percentage of Trained Hong Kong Employees | % | 50 | 50 |
| Percentage of Trained Mainland China Employees | % | 100 | 100 |
| Percentage of Trained Male Employees | % | ||
| Percentage of Trained Middle Management | % | ||
| Percentage of Trained Senior Management | % |