Environmental, Social and Governance Report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|
CO air emissions quantity | kg | 618 | 421 | 7 |
NO₂ air emissions intensity (kg/machine lease) | kg/machine lease | 0.82 | 0.88 | 7 |
NO₂ air emissions quantity | kg | 1469 | 1039 | 7 |
PM air emissions intensity (kg/machine lease) | kg/machine lease | 0.07 | 0.07 | 7 |
PM air emissions quantity | kg | 117 | 81 | 7 |
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 | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|---|---|
CO air emissions intensity (kg/machine lease) | kg/machine lease | 0.34 | 0.36 | 7 | ||
GHG Emissions Intensity (tonnes CO2e/machine lease) | tonnes CO2e/machine lease | 662 | 717 | 9 | ||
GHG Emissions Scope 1 (Direct emission from combustion of fossil fuels) | tonnes CO2e | 1186 | 845 | 9 | ||
GHG Emissions Scope 1 Intensity (tonnes CO2e/machine lease) | tonnes CO2e/machine lease | 662 | 717 | 9 | ||
GHG Emissions Scope 2 (Indirect emission from electricity and town gas consumption) | tonnes CO2e | 113 | 83 | 9 | ||
GHG Emissions Scope 2 Intensity (tonnes CO2e/machine lease) | tonnes CO2e/machine lease | 63 | 71 | 9 | ||
GHG Emissions Scope 3 (Indirect emission from use of water and paper waste) | tonnes CO2e | 8 | 6 | 9 | ||
GHG Emissions Scope 3 Intensity (tonnes CO2e/machine lease) | tonnes CO2e/machine lease | 5 | 5 | 9 |
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 - Battery | Tonnes | 4.2 | 2.3 | 11 |
Hazardous waste - Lubricant | Litres | 8400 | 3200 | 11 |
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 |
---|---|---|---|---|
Non-hazardous waste - Paper | Tonnes | 1.2 | 0.9 | 11 |
Paper recycled | Tonnes | 1.1 | 11 |
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 |
---|---|---|---|---|
Diesel consumption | Litres | 441274 | 313420 | 12 |
Diesel intensity per machine lease | 246 | 266 | 12 | |
Electricity consumption | kWh | 221901 | 162736 | 12 |
Electricity intensity per machine lease | 124 | 138 | 12 | |
Petrol consumption | Litres | 8523 | 6419 | 12 |
Petrol intensity per machine lease | 5 | 5 | 12 | |
Town gas consumption | Units | 495 | 418 | 12 |
Town gas intensity per machine lease | 0.28 | 0.35 | 12 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Water consumption | m³ | 3871 | 3338 | 12 |
Water intensity per machine lease | 2 | 3 | 12 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of employees - Age group 31–50 | employees | 45 | 16 |
Number of employees - Age group 51 or above | employees | 31 | 16 |
Number of employees - Age group Under 31 | employees | 39 | 16 |
Number of employees - Female | employees | 20 | 16 |
Number of employees - Full Time | employees | 98 | 16 |
Number of employees - Hong Kong | employees | 106 | 16 |
Number of employees - Macau | employees | 4 | 16 |
Number of employees - Male | employees | 95 | 16 |
Number of employees - Part Time | employees | 17 | 16 |
Number of employees - Singapore | employees | 5 | 16 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | FY2018 | FY2019 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 117 | 81 |
NOₓ Emissions | kg | 1469 | 1039 |
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 | 1186 | 845 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 113 | 83 |
Scope 1 GHG Emissions Intensity (By Product Volume) | tonnes CO2e/machine lease | 662 | 717 |
Scope 2 GHG Emissions Intensity (By Product Volume) | tonnes CO2e/machine lease | 63 | 71 |
Scope 3 GHG Emissions Intensity (By Product Volume) | tonnes CO2e/machine lease | 5 | 5 |
Total GHG Emissions | tonnes CO2e | 1307 | 934 |
Total GHG Emissions Intensity (By Product Volume) | tonnes CO2e/machine lease | 662 | 717 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 8 | 6 |
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 (Used Batteries) | Tonnes | 4.2 | 2.3 |
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 Recycled | Tonnes | 1.1 | |
Paper Waste | Tonnes | 1.2 | 0.9 |
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 |
---|---|---|---|
Diesel Fuel Consumption | Litres | 441274 | 313420 |
Gasoline Consumption | Litres | 8523 | 6419 |
Purchased Electricity | kWh | 221901 | 162736 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Water Consumption | m³ | 3871 | 3338 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Employees Aged 30-50 | employees | 45 |
Number of Employees Aged Above 50 | employees | 31 |
Number of Employees Aged Below 30 | employees | 39 |
Number of Employees in Hong Kong | employees | 106 |
Number of Employees in Macau | employees | 4 |
Number of Employees in Singapore | employees | 5 |
Number of Female Employees | employees | 20 |
Number of Full-time Employees | employees | 98 |
Number of Male Employees | employees | 95 |
Number of Part-time Employees | employees | 17 |
Number of Total Employees | employees | 110 |
Percentage of Employees Aged 30-50 | percent | 40.91 |
Percentage of Employees Aged Above 50 | percent | 28.18 |
Percentage of Employees Aged Below 30 | percent | 35.45 |
Percentage of Employees in Hong Kong | percent | 96.36 |
Percentage of Employees in Macau | percent | 3.64 |
Percentage of Employees in Singapore | percent | 4.55 |
Percentage of Female Employees | percent | 18.18 |
Percentage of Full-time Employees | percent | 89.09 |
Percentage of Male Employees | percent | 86.36 |
Percentage of Part-time Employees | percent | 15.45 |
Lost days due to work injury.
Standard Indicator | Unit |
---|---|
Lost Days Due to Work-related Injuries | lost days |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit |
---|---|
Percentage of Trained General Employees | employees |
Percentage of Trained Operational Employees | employees |
Percentage of Trained Senior Management | employees |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit |
---|---|
Average Training Hours (Administrative Employees) | hours |
Average Training Hours (General Staff) | hours |
Average Training Hours (Operational Employees) | hours |
Average Training Hours (Senior Management) | hours |
Total Training Hours | hours |