Sustainability Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Nitrogen Oxides (NOₓ) emissions | tonnes | 15463.35 | 102 | ||
Nitrogen Oxides (NOₓ) emissions per kWh of green electricity supplied | g/kWh | 1 | 0.87 | 1.03 | 102 |
Nitrogen oxides (NOₓ) | Tonne | 15463.35 | 205 | ||
Particulate Matter (PM) emissions | tonnes | 457.09 | 102, 236 | ||
Particulate Matter (PM) emissions per kWh of green electricity supplied | g/kWh | 0.03 | 0.03 | 0.03 | 102 |
Particulate matter | Tonne | 457.09 | 205 | ||
Sulphur Dioxide (SO₂) emissions | tonnes | 2595.33 | 102 | ||
Sulphur Dioxide (SO₂) emissions per kWh of green electricity supplied | g/kWh | 0.19 | 0.15 | 0.17 | 102 |
Sulphur dioxide (SO₂) | Tonne | 2595.33 | 205 |
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 | 2020 | Report Pages |
---|---|---|---|---|---|
CO2 equivalent (CO2e) per on-grid green electricity supplied | kg | 0.75 | 92 | ||
CO2 equivalent emissions offset by environmental protection projects | tonnes | 15273840.27 | 10 | ||
Direct GHG emissions (scope 1) from sources other than household waste incineration | tonnes CO2e | 375000 | 202 | ||
Energy indirect GHG emissions (scope 2) | tonnes CO2e | 480000 | 202 | ||
GHG emissions from Environmental Energy | tonnes CO2e | 9738873.21 | 94 | ||
GHG emissions from Environmental Water | tonnes CO2e | 27215.63 | 94 | ||
GHG emissions from Equipment Manufacturing, Eco-recycling, Greennergy, Envirotech, Environmental Planning, Headquarters, Representative Offices, Offices and Management Centres | tonnes CO2e | 288.73 | 94 | ||
GHG emissions from Greentech | tonnes CO2e | 950977.03 | 94 | ||
GHG emissions intensity | kg CO₂e/kWh | 0.75 | 205 | ||
Other sources | tCO2e | 86489.92 | 140249.76 | 168980.2 | 93 |
Scope 1 (Direct Emissions) | tCO2e | 8833333.51 | 8992131.91 | 10717354.6 | 93 |
Scope 1 (direct emissions) | Tonne CO₂e | 10717354.6 | 205 | ||
Scope 1 (direct emissions) – incineration of household waste | Tonne CO₂e | 10548374.4 | 205 | ||
Scope 1 (direct emissions) – other sources | Tonne CO₂e | 168980.2 | 205 | ||
Scope 2 (Energy Indirect Emissions) | tCO2e | 367134.02 | 344331.55 | 454575 | 93 |
Scope 2 (energy indirect emissions) | Tonne CO₂e | 454575 | 205 | ||
Scope 3 (Other Indirect Emissions) | tCO2e | 27317.4 | 13554.36 | 42076.01 | 93 |
Scope 3 (other indirect emissions) | Tonne CO₂e | 42076.01 | 205 | ||
Scope 3 Emissions - Environmental Energy | tonnes CO2e | 10628.9 | 96 | ||
Scope 3 Emissions - Environmental Water | tonnes CO2e | 30924.28 | 96 | ||
Scope 3 Emissions - Equipment Manufacturing, Eco-recycling, Greenergy, Envirotech, Environmental Planning, Headquarters, Representative Offices, Offices and Management Centres | tonnes CO2e | 305.84 | 96 | ||
Scope 3 Emissions - Greentech | tonnes CO2e | 216.99 | 96 | ||
Total GHG Emissions | tCO2e | 9227784.92 | 9350799.32 | 11214005.61 | 93 |
Total GHG Emissions Intensity (kg CO2e/kWh of green electricity supplied) | kg CO2e/kWh | 1.11 | 0.87 | 0.75 | 93 |
Total GHG emissions | Tonne CO₂e | 11214005.61 | 205 | ||
Total Scope 1 (Direct Emissions) | tonnes CO2e | 10717354.6 | 94 | ||
Total Scope 3 (Other Indirect Emissions) | tonnes CO2e | 42076.01 | 96 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Fly ash and bottom ash generated from hazardous waste incineration projects | Tonne | 7633.81 | 8077.69 | 85919.91 | 206 |
Fly ash generated from waste-to-energy projects and integrated biomass utilisation projects (waste-to-energy) | Tonne | 634277.55 | 678567.4 | 891953.08 | 206 |
Hazardous waste and solid waste processed | Tonne | 127000 | 198000 | 182000 | 204 |
Hazardous waste intensity | Tonne/MWh | 0.08 | 0.06 | 0.07 | 206 |
Other Waste Recycled | kg | 4606 | 121 | ||
Sludge generated from waste water treatment projects, waste-to-energy projects, solid waste treatment projects, and integrated biomass utilisation projects | Tonne | 980411.55 | 1158264.4 | 1808958.91 | 206 |
Total - Anaerobic Digestion | tonne | 99260.32 | 119 | ||
Total - In-plant Incineration (with Heat Recovery) | tonne | 348648.62 | 119 | ||
Total - Incineration (with Heat Recovery) | tonne | 392840.79 | 119 | ||
Total hazardous waste generated | Tonne | 641911.36 | 686645.09 | 977872.99 | 206 |
Total waste disposed | tonnes | 1400000 | 202 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Bottom ash generated from waste-to-energy projects and integrated biomass utilisation projects | Tonne | 4337424.15 | 4835991.34 | 6891301.07 | 206 |
Food Wastes Recycled | kg | 1596581 | 121 | ||
Furnace ash generated from integrated biomass utilisation projects (biomass) | Tonne | 163431.9 | 100485.23 | 362950.97 | 206 |
General waste generated | Tonne | 604 | 3230.45 | 3248.78 | 206 |
Glass Recycled | kg | 51531.81 | 121 | ||
Household waste processed | Tonne | 20062000 | 24739000 | 31545000 | 204 |
Incineration of household waste | tCO2e | 8746843.59 | 8852663.65 | 10548374.4 | 93 |
Metal Recycled | kg | 21214.23 | 121 | ||
Non-hazardous waste intensity | Tonne/MWh | 0.66 | 0.57 | 0.6 | 206 |
Rechargeable Batteries Recycled | kg | 108.3 | 121 | ||
Total - Landfill | tonne | 560655.21 | 119 | ||
Total - Production of Compost | tonne | 185826.41 | 119 | ||
Total - Utilisation as Construction Materials | tonne | 207121.76 | 119 | ||
Total General Waste Recycled | kg | 2160729.14 | 121 | ||
Total non-hazardous waste generated | Tonne | 5481871.6 | 6097971.42 | 9066459.73 | 206 |
Waste Paper Recycled | kg | 449082.08 | 121 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
COD Discharge Reduced | tonne | 692000 | 513000 | 579000 | 109 |
COD discharge reduced by environmental protection projects | tonnes | 579000 | 10 | ||
GHG Emissions Offset | tCO2e | 9456250.18 | 10561808.35 | 15273840.27 | 93 |
GHG Emissions Reductions | tCO2e | 228465.25 | 1211009.03 | 4059834.66 | 93 |
GHG emissions offset | Tonne CO₂e | 15273840.27 | 205 | ||
GHG emissions reductions | Tonne CO₂e | 4059834.64 | 205 | ||
Group's operations offset CO2 equivalent emissions | tonnes CO2e | 15273840.27 | 191 | ||
Total GHG emissions offset | increase by 10% compared with the previous year | 202 |
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 | 2020 | Report Pages |
---|---|---|---|---|---|
COD reduction | Tonne | 692000 | 513000 | 579000 | 204 |
Electrical Appliances Recycled | kg | 990.5 | 121 | ||
GHG Emissions Offset by Business Sector - Environmental Energy (Waste-to-energy) | TONNES | 6942164.62 | 7316162.28 | 10686794.22 | 99 |
GHG Emissions Offset by Business Sector - Environmental Water (Sludge Methane-to-energy; Reducing NOx Released from Effluent through Waste Water Treatment) | TONNES | 14010.75 | 10263.88 | 93967.65 | 99 |
GHG Emissions Offset by Business Sector - Greentech (Integrated Biomass Utilisation, Solar Energy and Wind Power; Reducing NOx Released from Effluent through Waste Water Treatment) | TONNES | 2500074.81 | 3235382.18 | 4493078.4 | 99 |
Integrated Biomass Utilisation Projects - In-plant Incineration (with Heat Recovery) | tonne | 12605.13 | 119 | ||
Integrated Biomass Utilisation Projects - Utilisation as Construction Materials | tonne | 63 | 119 | ||
Leachate treated | m³ | 4349000 | 5210000 | 7094000 | 204 |
Leachate treated by environmental protection projects | m³ | 7094000 | 10 | ||
Old Clothes Recycled | kg | 4652 | 121 | ||
Plastics Recycled | kg | 31963.22 | 121 | ||
Waste Water Treatment Projects - Anaerobic Digestion | tonne | 99260.32 | 119 | ||
Waste Water Treatment Projects - Incineration (with Heat Recovery) | tonne | 366295.29 | 119 | ||
Waste Water Treatment Projects - Landfill | tonne | 310263.57 | 119 | ||
Waste Water Treatment Projects - Others | tonne | 492.06 | 119 | ||
Waste Water Treatment Projects - Production of Compost | tonne | 185826.41 | 119 | ||
Waste Water Treatment Projects - Utilisation as Construction Materials | tonne | 207058.76 | 119 | ||
Waste water treated by environmental protection projects | m³ | 1559096000 | 10 | ||
Waste-to-energy Projects - In-plant Incineration (with Heat Recovery) | tonne | 332396.78 | 119 | ||
Waste-to-energy Projects - Incineration (with Heat Recovery) | tonne | 26545.5 | 119 | ||
Waste-to-energy Projects - Landfill | tonne | 250351.58 | 119 | ||
Waste-to-energy Projects - Others | tonne | 8779.98 | 119 |
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 | 2020 | Report Pages |
---|---|---|---|---|---|
Average on-grid green electricity supplied per tonne of waste (Environmental Energy – waste-to-energy projects) | kWh/Tonne | 297.01 | 302.75 | 320.46 | 204 |
Biogas | GJ | 104.56 | 205 | ||
Biomass raw materials processed | Tonne | 3160000 | 4636000 | 6708000 | 204 |
Diesel | GJ | 850165.78 | 205 | ||
Energy intensity | kJ/kWh | 903.14 | 205 | ||
Gasoline | GJ | 367534.63 | 205 | ||
Green electricity generated by environmental protection projects | kWh | 17078231000 | 10 | ||
Group's electricity consumption | kWh | 3122157096.17 | 105 | ||
Liquefied Petroleum Gas | GJ | 253.5 | 205 | ||
Natural gas | GJ | 1032927.88 | 205 | ||
Non-renewable electricity | GJ | 4897377.95 | 205 | ||
Non-renewable energy intensity | kJ/kWh | 326.4 | 205 | ||
On-grid green electricity supplied | kWh | 8294419000 | 10713049000 | 15004327000 | 204 |
Proportion of self-generated electricity consumption | % | 77% | 105 | ||
Renewable electricity | GJ | 8653699.65 | 205 | ||
Steam supplied | Tonne | 363000 | 819000 | 1344000 | 204 |
Total energy consumed | GJ | 13551077.61 | 205 | ||
Total non-renewable energy consumed | GJ | 4897377.95 | 205 | ||
Total non-renewable energy consumption | GJ | 5400000 | 202 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Freshwater intensity | m³/MWh | 0.01 | 0.004 | 0.004 | 206 |
Number of residents benefiting from household waste and water treatment | 100000000 | 6 | |||
Total fresh water consumption | m3 | 77000000 | 202 | ||
Total freshwater consumed | m³ | 49894568.65 | 45317154.05 | 61859696.87 | 206 |
Total volume of reusable water produced | m³ | 243300000 | 188 | ||
Total volume of waste water treated | m³ | 1559096000 | 188 | ||
Waste Water Treated | m³ | 1271248000 | 1433805000 | 1559096000 | 109 |
Waste water treated | m³ | 1271248000 | 1433805000 | 1559096000 | 204 |
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.
Indicator | Unit | 2020 | 2040 | Report Pages |
---|---|---|---|---|
Water Stress Risk: Baseline Scenario - Arid and low water use by % of Capital Investment in Projects | % | 43.6 | 75 | |
Water Stress Risk: Baseline Scenario - Extremely high by % of Capital Investment in Projects | % | 0.5 | 75 | |
Water Stress Risk: Baseline Scenario - High by % of Capital Investment in Projects | % | 14.1 | 75 | |
Water Stress Risk: Baseline Scenario - Low by % of Capital Investment in Projects | % | 4.37 | 75 | |
Water Stress Risk: Baseline Scenario - Low to medium by % of Capital Investment in Projects | % | 6.38 | 75 | |
Water Stress Risk: Baseline Scenario - Medium to high by % of Capital Investment in Projects | % | 31.06 | 75 | |
Water Stress Risk: Business-as-Usual Scenario in 2040 (RCP8.5) - Extremely high by % of Capital Investment in Projects | % | 5.44 | 75 | |
Water Stress Risk: Business-as-Usual Scenario in 2040 (RCP8.5) - High by % of Capital Investment in Projects | % | 7.06 | 75 | |
Water Stress Risk: Business-as-Usual Scenario in 2040 (RCP8.5) - Low by % of Capital Investment in Projects | % | 56.51 | 75 | |
Water Stress Risk: Business-as-Usual Scenario in 2040 (RCP8.5) - Low to medium by % of Capital Investment in Projects | % | 19.86 | 75 | |
Water Stress Risk: Business-as-Usual Scenario in 2040 (RCP8.5) - Medium to high by % of Capital Investment in Projects | % | 11.14 | 75 | |
Water Stress Risk: Optimistic Scenario in 2040 (RCP4.5) - Extremely high by % of Capital Investment in Projects | % | 5.48 | 75 | |
Water Stress Risk: Optimistic Scenario in 2040 (RCP4.5) - High by % of Capital Investment in Projects | % | 7.85 | 75 | |
Water Stress Risk: Optimistic Scenario in 2040 (RCP4.5) - Low by % of Capital Investment in Projects | % | 51.73 | 75 | |
Water Stress Risk: Optimistic Scenario in 2040 (RCP4.5) - Low to medium by % of Capital Investment in Projects | % | 19.06 | 75 | |
Water Stress Risk: Optimistic Scenario in 2040 (RCP4.5) - Medium to high by % of Capital Investment in Projects | % | 15.88 | 75 | |
Water Stress: Baseline Scenario - Arid and low water use (by % of Number of Projects) | % | 42.07% | 76 | |
Water Stress: Baseline Scenario - Extremely high (by % of Number of Projects) | % | 0.37% | 76 | |
Water Stress: Baseline Scenario - High (by % of Number of Projects) | % | 11.62% | 76 | |
Water Stress: Baseline Scenario - Low (by % of Number of Projects) | % | 3.69% | 76 | |
Water Stress: Baseline Scenario - Low to medium (by % of Number of Projects) | % | 9.41% | 76 | |
Water Stress: Baseline Scenario - Medium to high (by % of Number of Projects) | % | 32.84% | 76 | |
Water Stress: Business-as-Usual Scenario in 2040 (RCP8.5) - Extremely high (by % of Number of Projects) | % | 3.69% | 76 | |
Water Stress: Business-as-Usual Scenario in 2040 (RCP8.5) - High (by % of Number of Projects) | % | 7.38% | 76 | |
Water Stress: Business-as-Usual Scenario in 2040 (RCP8.5) - Low (by % of Number of Projects) | % | 58.12% | 76 | |
Water Stress: Business-as-Usual Scenario in 2040 (RCP8.5) - Low to medium (by % of Number of Projects) | % | 18.08% | 76 | |
Water Stress: Business-as-Usual Scenario in 2040 (RCP8.5) - Medium to high (by % of Number of Projects) | % | 12.73% | 76 | |
Water Stress: Optimistic Scenario in 2040 (RCP4.5) - Extremely high (by % of Number of Projects) | % | 4.06% | 76 | |
Water Stress: Optimistic Scenario in 2040 (RCP4.5) - High (by % of Number of Projects) | % | 8.67% | 76 | |
Water Stress: Optimistic Scenario in 2040 (RCP4.5) - Low (by % of Number of Projects) | % | 52.95% | 76 | |
Water Stress: Optimistic Scenario in 2040 (RCP4.5) - Low to medium (by % of Number of Projects) | % | 16.79% | 76 | |
Water Stress: Optimistic Scenario in 2040 (RCP4.5) - Medium to high (by % of Number of Projects) | % | 17.53% | 76 |
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 |
---|---|---|---|---|---|
Number of Everbright Environment projects approved for Central Government’s Special Fund for Ecological Civilisation | multiple | 63 | |||
Number of cities with environmental protection projects | 100 | 6 | |||
Number of cities with environmental protection projects in operation (China) | cities | 100 | 196 | ||
Number of companies participating in model cases of corporate green development selection | companies | 200 | 63 | ||
Number of companies shortlisted as model cases of corporate green development | companies | 50 | 63 | ||
Number of environmental protection projects | 458 | 10 | |||
Number of environmental protection projects in operation | projects | 200 | 6, 196 | ||
Percentage of environmental protection facilities across all business sectors to be opened up for public visit within the next 3 years | % | 77 | 161 | ||
Solid Waste Treatment Projects - In-plant Incineration (with Heat Recovery) | tonne | 3646.71 | 119 | ||
Solid Waste Treatment Projects - Landfill | tonne | 400.66 | 119 | ||
Solid Waste Treatment Projects - Others | tonne | 5333.76 | 119 | ||
Total number of projects | No. | 324 | 399 | 458 | 204 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Indicator | Unit | 2040 | Report Pages |
---|---|---|---|
Percentage of capital investment in projects below projected water level plus added height of local annual flood by 2040 (RCP4.5 scenario) | % | 62.51 | 77 |
Percentage of capital investment in projects below projected water level plus added height of local annual flood by 2040 (RCP8.5 scenario) | % | 64.18 | 77 |
Percentage of capital investment in projects under preparation, construction, commissioning and operation with high water stress or above (baseline scenario) | % | 45.16 | 74 |
Percentage of capital investment in projects under preparation, construction, commissioning and operation with high water stress or above (business-as-usual scenario RCP8.5) | % | 67.65 | 74 |
Percentage of capital investment in projects under preparation, construction, commissioning and operation with high water stress or above (optimistic scenario RCP4.5) | % | 67.61 | 74 |
Percentage of number of projects below projected water level plus added height of local annual flood by 2040 (RCP4.5 scenario) | % | 60.5 | 77 |
Percentage of number of projects below projected water level plus added height of local annual flood by 2040 (RCP8.5 scenario) | % | 62.18 | 77 |
Percentage of number of projects under preparation, construction, commissioning and operation with high water stress or above (baseline scenario) | % | 44.46 | 74 |
Percentage of number of projects under preparation, construction, commissioning and operation with high water stress or above (business-as-usual scenario RCP8.5) | % | 70.85 | 74 |
Percentage of number of projects under preparation, construction, commissioning and operation with high water stress or above (optimistic scenario RCP4.5) | % | 70.48 | 74 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Basic salary and bonus of general and technical staff (female) | HK$ | 91597.86 | 99261.18 | 102758.62 | 213 |
Basic salary and bonus of general and technical staff (male) | HK$ | 99998.8 | 116027.47 | 120472.38 | 213 |
Basic salary and bonus of middle-level management (female) | HK$ | 242957.34 | 252064.74 | 259936.01 | 213 |
Basic salary and bonus of middle-level management (male) | HK$ | 253679.25 | 278859.53 | 291846.48 | 213 |
Basic salary and bonus of senior management (female) | HK$ | 416087.14 | 568618.08 | 562143.08 | 213 |
Basic salary and bonus of senior management (male) | HK$ | 503017.59 | 480660.75 | 520581.94 | 213 |
Basic salary of general and technical staff (female) | HK$ | 78521.8 | 79943.62 | 213 | |
Basic salary of general and technical staff (male) | HK$ | 92922.97 | 95261.21 | 213 | |
Basic salary of middle-level management (female) | HK$ | 168640.59 | 170140.23 | 213 | |
Basic salary of middle-level management (male) | HK$ | 184359.41 | 196558.08 | 213 | |
Basic salary of senior management (female) | HK$ | 319200.96 | 307199.02 | 213 | |
Basic salary of senior management (male) | HK$ | 279807.95 | 302245.66 | 213 | |
Chinese (Ethnic minorities) employees | 163 | 312 | 316 | 210 | |
Chinese (Han) employees | 9641 | 12458 | 11908 | 210 | |
Employees in Hong Kong | 68 | 71 | 73 | 210 | |
Employees in Mainland China | 9730 | 12695 | 12147 | 210 | |
Employees in Poland | Data not available | 431 | 451 | 210 | |
Employees in Singapore | 4 | 4 | 4 | 210 | |
Employees in Vietnam | 19 | 49 | 57 | 210 | |
Full-time employees | 9818 | 13249 | 12732 | 210 | |
General and technical staff | 8080 | 11097 | 10570 | 210 | |
Local Employees | 7341 | 9965 | 9620 | 210 | |
Middle-level management | 1264 | 1579 | 1697 | 210 | |
Non-local Employees | 2480 | 3285 | 3112 | 210 | |
Number of Deputy General Managers promoted to General Managers | people | 43 | 141 | ||
Number of On-site Outsourced Workers in Catering | people | 466 | 53 | ||
Number of On-site Outsourced Workers in Cleaning | people | 1879 | 53 | ||
Number of On-site Outsourced Workers in Environmental monitoring | people | 2660 | 53 | ||
Number of On-site Outsourced Workers in Equipment maintenance | people | 4493 | 53 | ||
Number of On-site Outsourced Workers in Landscaping | people | 167 | 53 | ||
Number of On-site Outsourced Workers in Others | people | 298 | 53 | ||
Number of On-site Outsourced Workers in Security | people | 982 | 53 | ||
Number of back-up management personnel promoted to General Managers, Construction Supervisors or Project Management Team Leaders | people | 37 | 141 | ||
Number of employees by age: 30 and below | 4488 | 5828 | 5037 | 209 | |
Number of employees by age: 31–40 | 3653 | 5124 | 5475 | 209 | |
Number of employees by age: 41–50 | 1319 | 1742 | 1690 | 209 | |
Number of employees by age: 51 and above | 361 | 556 | 530 | 209 | |
Number of employees by gender: Female | 2135 | 2958 | 2920 | 209 | |
Number of employees by gender: Male | 7686 | 10292 | 9812 | 209 | |
Number of female employees who returned to work after maternity/paternity leave ended in 2019 and still employed by the end of 2020 | 137 | 132 | |||
Number of female employees who returned to work after maternity/paternity leave in 2020 | 142 | 132 | |||
Number of female employees who took maternity/paternity leave in 2020 | 149 | 132 | |||
Number of male employees who took maternity/paternity leave in 2020 | 357 | 132 | |||
Number of new employees by age: 30 and below | people | 1155 | 135 | ||
Number of new employees by age: 31-40 | people | 681 | 135 | ||
Number of new employees by age: 41-50 | people | 119 | 135 | ||
Number of new employees by age: 51 and above | people | 23 | 135 | ||
Number of new employees by gender: Female | people | 408 | 135 | ||
Number of new employees by gender: Male | people | 1570 | 135 | ||
Number of new employees by geographical region: Mainland China | people | 1900 | 135 | ||
Number of new employees by geographical region: Others (Hong Kong, Singapore, Vietnam and Poland) | people | 78 | 135 | ||
Part-time employees | 3 | 1 | 210 | ||
Percentage of Chinese (Ethnic minorities) employees (all full-time employees) | 2.48% | 210 | |||
Percentage of Chinese (Ethnic minorities) employees (all management positions) | 2.04% | 210 | |||
Percentage of Chinese (Han) employees (all full-time employees) | 93.53% | 210 | |||
Percentage of Chinese (Han) employees (all management positions) | 97.22% | 210 | |||
Percentage of Polish (Non-minority group) employees (all full-time employees) | 3.54% | 210 | |||
Percentage of Polish (Non-minority group) employees (all management positions) | 0.69% | 210 | |||
Percentage of Vietnamese (Non-minority group) employees (all full-time employees) | 0.45% | 210 | |||
Percentage of Vietnamese (Non-minority group) employees (all management positions) | 0.05% | 210 | |||
Percentage of employees with disabilities | 0.16% | 210 | |||
Percentage of female employees in STEM-related positions | 33.33% | 210 | |||
Percentage of female employees in all management positions | 16.70% | 210 | |||
Percentage of female employees in management in revenue-generating functions | 17.49% | 210 | |||
Percentage of female employees in middle-level management | 11.83% | 210 | |||
Percentage of female employees in senior management | 18.03% | 210 | |||
Percentage of female employees who returned to work after maternity/paternity leave ended in 2019 and still employed by the end of 2020 | 92.57% | 132 | |||
Percentage of female employees who returned to work after maternity/paternity leave ended in 2020 | 100% | 132 | |||
Percentage of male employees who returned to work after maternity/paternity leave ended in 2019 and still employed by the end of 2020 | 94.41% | 132 | |||
Percentage of male employees who returned to work after maternity/paternity leave ended in 2020 | 99.71% | 132 | |||
Percentage of new employees hired from local | 75% | 135 | |||
Permanent contract employees: Female | 376 | 599 | 687 | 209 | |
Permanent contract employees: Hong Kong | 68 | 68 | 73 | 209 | |
Permanent contract employees: Mainland China | 1309 | 1886 | 2159 | 209 | |
Permanent contract employees: Male | 1006 | 1694 | 2017 | 209 | |
Permanent contract employees: Poland | Data not available | 332 | 451 | 209 | |
Permanent contract employees: Singapore | 4 | 4 | 209 | ||
Permanent contract employees: Vietnam | 5 | 3 | 17 | 209 | |
Permanent employees (female) | people | 2245 | 127 | ||
Permanent employees (male) | people | 7783 | 127 | ||
Polish (Non-minority group) employees | Data not available | 431 | 451 | 210 | |
Ratio of the annual percentage increase in total remuneration of the highest-paid individual to the median percentage increase in annual total remuneration of all employees (excluding the highest-paid individual) | % | 4.37 | 6.96 | -33.68 | 212 |
Ratio of the basic salary and bonus of general and technical staff (female) to the basic salary and bonus of general and technical staff (male) | 1 | 0.92 | 0.86 | 0.85 | 213 |
Ratio of the basic salary and bonus of middle-level management (female) to the basic salary and bonus of middle-level management (male) | 1 | 0.96 | 0.9 | 0.89 | 213 |
Ratio of the basic salary and bonus of senior management (female) to the basic salary and bonus of senior management (male) | 1 | 0.83 | 1.18 | 1.08 | 213 |
Ratio of the basic salary of general and technical staff (female) to the basic salary of general and technical staff (male) | 1 | 0.85 | 0.84 | 213 | |
Ratio of the basic salary of middle-level management (female) to the basic salary of middle-level management (male) | 1 | 0.91 | 0.87 | 213 | |
Ratio of the basic salary of senior management (female) to the basic salary of senior management (male) | 1 | 1.14 | 1.02 | 213 | |
Ratio of the total remuneration of the highest-paid individual to the median of the total remuneration of all employees (excluding the highest-paid individual) | 79.53 | 85.46 | 56.68 | 212 | |
Restatements of information - total number of employees by employment contract (2018) | employees | 203 | 229 | ||
Restatements of information - total number of employees by employment contract (2019) | employees | 207 | 229 | ||
Retained for Everbright Environment’s sustainable operation and development | HK$'000 | 4885962 | 5720439 | 5939866 | 204 |
Senior management | 477 | 574 | 465 | 210 | |
Staff Costs | HK$'000 | 1577256 | 2484700 | 2874560 | 204 |
Temporary/fixed term employees (female) | people | 687 | 127 | ||
Temporary/fixed term employees (male) | people | 2017 | 127 | ||
Temporary/fixed-term contract employees: Female | 1759 | 2358 | 2245 | 209 | |
Temporary/fixed-term contract employees: Mainland China | 8421 | 10808 | 9988 | 209 | |
Temporary/fixed-term contract employees: Male | 6680 | 8595 | 7783 | 209 | |
Temporary/fixed-term contract employees: Poland | Data not available | 99 | 209 | ||
Temporary/fixed-term contract employees: Singapore | 4 | 209 | |||
Temporary/fixed-term contract employees: Vietnam | 14 | 46 | 40 | 209 | |
The median of the total remuneration of all employees (excluding the highest-paid individual) (HK$) | HK$ | 90215.48 | 91397.77 | 107844.48 | 212 |
Total - Others | tonne | 14065.8 | 119 | ||
Total Number of On-site Outsourced Workers | people | 10945 | 53 | ||
Total number of back-up management personnel | people | 797 | 141 | ||
Total number of employees | employees, people | 9821 | 13250 | 12732 | 11, 127, 209 |
Total number of new employees | people | 1978 | 135 | ||
Total number of new hires | persons | 2914 | 2427 | 1978 | 211 |
Total number of new hires - 30 and below | persons | 1155 | 211 | ||
Total number of new hires - 31–40 | persons | 681 | 211 | ||
Total number of new hires - 41–50 | persons | 119 | 211 | ||
Total number of new hires - 51 and above | persons | 23 | 211 | ||
Total number of new hires - Female | persons | 408 | 211 | ||
Total number of new hires - Hong Kong | persons | 10 | 211 | ||
Total number of new hires - Local Employees | persons | 1486 | 211 | ||
Total number of new hires - Mainland China | persons | 1900 | 211 | ||
Total number of new hires - Male | persons | 1570 | 211 | ||
Total number of new hires - Non-local Employees | persons | 492 | 211 | ||
Total number of new hires - Poland | persons | 51 | 211 | ||
Total number of new hires - Vietnam | persons | 17 | 211 | ||
Total remuneration of the highest-paid individual (HK$) | HK$ | 7174400 | 7808000 | 6112130.99 | 212 |
Vietnamese (Non-minority group) employees | 17 | 49 | 57 | 210 | |
percentage of female employees in Group's management positions | % | 16.7 | 131 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Employee Turnover by Age - 30 and below | people | 1011 | 136 | ||
Employee Turnover by Age - 31-40 | people | 771 | 136 | ||
Employee Turnover by Age - 41-50 | people | 230 | 136 | ||
Employee Turnover by Age - 51 and above | people | 82 | 136 | ||
Employee Turnover by Gender - Female | people | 357 | 136 | ||
Employee Turnover by Gender - Male | people | 1737 | 136 | ||
Employee Turnover by Geographical Region - Mainland China | people | 2038 | 136 | ||
Employee Turnover by Geographical Region - Others (Hong Kong, Singapore, Vietnam and Poland) | people | 56 | 136 | ||
Employee Turnover by Type - Resigned | people | 2051 | 136 | ||
Employee Turnover by Type - Retired | people | 43 | 136 | ||
Number of male employees who returned to work after maternity/paternity leave ended in 2019 and still employed by the end of 2020 | 287 | 132 | |||
Number of male employees who returned to work after maternity/paternity leave in 2020 | 345 | 132 | |||
Percentage of employees in this category (new hires) | % | 27.6 | 31.91 | 15.54 | 211 |
Percentage of employees in this category (new hires, 30 and below) | % | 22.93 | 211 | ||
Percentage of employees in this category (new hires, 31–40) | % | 12.44 | 211 | ||
Percentage of employees in this category (new hires, 41–50) | % | 7.04 | 211 | ||
Percentage of employees in this category (new hires, 51 and above) | % | 4.34 | 211 | ||
Percentage of employees in this category (new hires, Female) | % | 13.97 | 211 | ||
Percentage of employees in this category (new hires, Hong Kong) | % | 13.7 | 211 | ||
Percentage of employees in this category (new hires, Local Employees) | % | 15.45 | 211 | ||
Percentage of employees in this category (new hires, Mainland China) | % | 15.64 | 211 | ||
Percentage of employees in this category (new hires, Male) | % | 16 | 211 | ||
Percentage of employees in this category (new hires, Non-local Employees) | % | 15.81 | 211 | ||
Percentage of employees in this category (new hires, Poland) | % | 11.31 | 211 | ||
Percentage of employees in this category (new hires, Vietnam) | % | 29.26 | 211 | ||
Percentage of employees in this category (turnover) | % | 8.16 | 8.82 | 16.45 | 211 |
Percentage of employees in this category (turnover, 30 and below) | % | 20.07 | 211 | ||
Percentage of employees in this category (turnover, 31–40) | % | 14.08 | 211 | ||
Percentage of employees in this category (turnover, 41–50) | % | 13.61 | 211 | ||
Percentage of employees in this category (turnover, 51 and above) | % | 15.47 | 211 | ||
Percentage of employees in this category (turnover, Female) | % | 12.23 | 211 | ||
Percentage of employees in this category (turnover, Hong Kong) | % | 6.85 | 211 | ||
Percentage of employees in this category (turnover, Mainland China) | % | 16.78 | 211 | ||
Percentage of employees in this category (turnover, Male) | % | 17.7 | 211 | ||
Percentage of employees in this category (turnover, Poland) | % | 7.98 | 211 | ||
Percentage of employees in this category (turnover, Vietnam) | % | 26.32 | 211 | ||
Total Number of Employee Turnover (Resignation/Retirement) | people | 2094 | 136 | ||
Total number of employee turnover (resigned/retired) | persons | 801 | 1168 | 2094 | 211 |
Total number of employee turnover - 30 and below | persons | 1011 | 211 | ||
Total number of employee turnover - 31–40 | persons | 771 | 211 | ||
Total number of employee turnover - 41–50 | persons | 230 | 211 | ||
Total number of employee turnover - 51 and above | persons | 82 | 211 | ||
Total number of employee turnover - Female | persons | 357 | 211 | ||
Total number of employee turnover - Hong Kong | persons | 5 | 211 | ||
Total number of employee turnover - Mainland China | persons | 2038 | 211 | ||
Total number of employee turnover - Male | persons | 1737 | 211 | ||
Total number of employee turnover - Poland | persons | 36 | 211 | ||
Total number of employee turnover - Vietnam | persons | 15 | 211 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of high-consequence work-related injuries (excluding fatalities) (Employees) | 3 | 212 | |||
Number of work-related fatalities (Employees) | 2 | 212 | |||
Number of work-related fatalities (Third-Party Contractors and Sub-Contractors Working On-site) | 1 | 1 | 212 | ||
Number of work-related injuries (Employees) | 12 | 24 | 10 | 212 | |
Number of work-related injuries (Third-Party Contractors and Sub-Contractors Working On-site) | 7 | 6 | 5 | 212 | |
Number of work-related injuries (employees) | 10 | 156 | |||
Rate of work-related fatalities (Employees) | 0.02 | 212 | |||
Rate of work-related fatalities (Third-Party Contractors and Sub-Contractors Working On-site) | 0.01 | 0.01 | 212 | ||
Rate of work-related injuries (Employees) | 0.13 | 0.18 | 0.08 | 212 | |
Rate of work-related injuries (employees) | 0.08 | 11, 156 | |||
Rate of work-related injuries (third-party contractors and subcontractors working on-site) | 0.04 | 11 | |||
Rate of work-related injuries of employees | 0.08 | 201 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Days of absence from work due to work-related injury (Employees) | 651 | 1343 | 582 | 212 | |
Days of absence from work due to work-related injury (Third-Party Contractors and Sub-Contractors Working On-site) | 109 | 304 | 175 | 212 | |
Days of absence from work due to work-related injury (employees) | 582 | 156 | |||
Rate of high-consequence work-related injuries (excluding fatalities) (Employees) | 0.03 | 212 | |||
Rate of work-related injuries (Third-Party Contractors and Sub-Contractors Working On-site) | 0.12 | 0.07 | 0.04 | 212 | |
Total working hours - Employees of Everbright Environment | hours | 24891864 | 156 | ||
Total working hours - Third-party contractors and subcontractors work | hours | 24924512 | 156 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Environmental and safety health risk management (customer satisfaction survey) | out of 10 | 9.74 | 58 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Average amount spent per full-time employee on training and development | HKD | 1354.39 | 137 | ||
Average training hours | hours | 78.81 | 27.73 | 68.77 | 211 |
Average training hours - Female | hours | 77.72 | 26.31 | 91.95 | 211 |
Average training hours - General and technical staff | hours | 81.16 | 28.74 | 77.15 | 211 |
Average training hours - Male | hours | 79.12 | 28.14 | 61.87 | 211 |
Average training hours - Middle-level management | hours | 71.32 | 23.83 | 28.17 | 211 |
Average training hours - Senior management | hours | 58.89 | 18.94 | 26.34 | 211 |
Average training hours per employee in Everbright Environment | hours | 68.77 | 138 | ||
Total training hours | hours | 774006 | 367447 | 875520.98 | 211 |
Total training hours of employees in Everbright Environment | hours | 875520.98 | 138 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of Suppliers in Mainland China and Hong Kong | people | 13322 | 53 |
Number of Suppliers in Overseas (Singapore, Vietnam, Poland, Germany and Belgium) | people | 1658 | 53 |
Number of domestic and foreign visitors to environmental protection projects | visitors | 110000 | 11 |
Number of new customers among surveyed | 119 | 59 | |
Total Number of Suppliers | people | 14980 | 53 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of suppliers participating in supplier sustainability risk assessment | suppliers | 248 | 56 |
Percentage of annual purchasing amount covered by suppliers participating in 2020 supplier sustainability risk assessment | percent | 23.63 | 56 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Overall customer satisfaction rate (out of 10) | 9.75 | 59 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Adherence to agreed project schedules (customer satisfaction survey) | out of 10 | 9.75 | 58 |
Experience and professionalism of project teams (customer satisfaction survey) | out of 10 | 9.74 | 58 |
Number of valid customer questionnaires collected | 337 | 59 | |
Number of valid customer satisfaction questionnaires collected | 337 | 58 | |
Outcome and quality of work (customer satisfaction survey) | out of 10 | 9.73 | 58 |
Overall customer satisfaction rate | out of 10 | 9.75 | 58, 203 |
Percentage of new customers among surveyed | % | 35.3 | 59 |
Percentage of new customers rating satisfaction score of 8 or above | % | 99.2 | 59 |
Percentage of satisfied customers (average score of 7 or above) | 98.81% | 58 | |
Percentage of satisfied customers (score of 7 or above) | % | 98.81 | 59 |
Year-on-year increase in consolidated revenue | % | 14 | 6 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Accumulated technological R&D investment | million RMB | 675 | 201 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Effectiveness and timeliness in communication (customer satisfaction survey) | out of 10 | 9.77 | 58 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Increased farmers’ income by integrated biomass utilisation projects | RMB billion | 1.48 | 10 |
Jobs created by integrated biomass utilisation projects | jobs | 41000 | 10 |
Number of beneficiaries supported by Everbright Environmental Protection Charitable Fund | beneficiaries | 1778 | 11 |
Number of environmental protection facilities opened to the public | facilities | 102 | 11 |
Number of participants in 'Fight the Virus' Investment and Development Training Programme | employees | 114 | 140 |
Number of students provided educational opportunities by Anhui Dangshan No.5 High School | students | 5760 | 11 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2013 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Annual financial and psychological support to sanitation workers and their families in Suzhou by Everbright Environmental Protection Charitable Foundation | million RMB | 1.5 | 161 | |||
Charitable donations | HK$'000 | 7558 | 10772 | 14184 | 204 | |
Number of farmers benefited by integrated biomass utilisation projects | farmers | 5240000 | 10 | |||
Number of visitors at environmental protection facilities | persons | 110000 | 201 | |||
Other Costs | HK$'000 | 17330711 | 24840127 | 27282060 | 204 | |
Other Income | HK$'000 | 738914 | 765649 | 717493 | 204 | |
Other Income and gains/(losses), net | HK$'000 | -57139 | -30211 | -621614 | 204 | |
Revenue | HK$, HK$'000 | 27227998 | 37575357 | 42926426 | 10, 204 | |
Taxes | HK$'000 | 507194 | 644192 | 924496 | 204 | |
Total donations | HKD | 14184000 | 11 | |||
Total ex-gratia funds and financial aids delivered by Everbright Environmental Protection Charitable Fund | million RMB | 8.5 | 11 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2020 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | tonnes | 457.09 |
NOₓ Emissions | tonnes | 15463.35 |
SOₓ Emissions | tonnes | 2595.33 |
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 | 2020 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 8833333.51 | 8992131.91 | 10717354.6 |
Indirect Energy Emissions (Scope 2) | tCO2e | 367134.02 | 344331.55 | 454575 |
Total GHG Emissions | tCO2e | 9227784.92 | 9350799.32 | 11214005.61 |
Total GHG Emissions Intensity (By Energy) | kg CO2e/kWh | 1.11 | 0.87 | 0.75 |
Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 27317.4 | 13554.36 | 42076.01 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Hazardous Waste | tonne | 641911.36 | 686645.09 | 977872.99 |
Total Hazardous Waste Intensity (By Unit Product) | tonne/MWh | 0.08 | 0.06 | 0.07 |
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 | 2020 |
---|---|---|---|---|
Glass Waste | kg | 51531.81 | ||
Non-Hazardous Waste (Domestic Waste) | Tonne | 20062000 | 24739000 | 31545000 |
Non-Hazardous Waste Disposed | Tonne | 5481871.6 | 6097971.42 | 9066459.73 |
Non-Hazardous Waste Incineration | tCO2e | 8746843.59 | 8852663.65 | 10548374.4 |
Non-Hazardous Waste Landfilling | tonne | 560655.21 | ||
Non-Hazardous Waste Recycled | kg | 2160729.14 | ||
Paper Waste | kg | 449082.08 | ||
Total Non-Hazardous Waste Intensity (By Unit Product) | Tonne/MWh | 0.66 | 0.57 | 0.6 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
GHG Emissions Reduction Compared to Last Year | tonnes CO2e | 15273840.27 |
GHG Emissions Reduction Percentage Compared to Last Year | % | 10 |
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 | 2020 |
---|---|---|
Diesel Fuel Consumption | GJ | 850165.78 |
Energy Consumption Intensity (By Unit Product) | kJ/kWh | 903.14 |
Gasoline Consumption | GJ | 367534.63 |
LPG Consumption | GJ | 253.5 |
Natural Gas Consumption | GJ | 1032927.88 |
Percentage of Renewable Energy Consumption | % | 63.87 |
Renewable Energy Consumption | GJ | 8653699.65 |
Total Electricity Consumption Intensity (By Unit Product) | kJ/kWh | 903.14 |
Total Energy Consumption | GJ | 13551077.61 |
Total Non-Renewable Fuel Consumption | GJ | 4897377.95 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Recycled Water Usage | m³ | 243300000 | ||
Total Wastewater Discharge | m³ | 1559096000 | ||
Water Consumption | m³ | 49894568.65 | 45317154.05 | 61859696.87 |
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 | % |
Target Energy 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 | 2020 |
---|---|---|---|---|
Number of Employees Aged 30-50 | 4972 | 6866 | 7165 | |
Number of Employees Aged Above 50 | 361 | 556 | 530 | |
Number of Employees Aged Below 30 | 4488 | 5828 | 5037 | |
Number of Employees in Europe | 431 | 451 | ||
Number of Employees in Hong Kong | 68 | 71 | 73 | |
Number of Employees in Mainland China | 9730 | 12695 | 12147 | |
Number of Employees in Singapore | 4 | 4 | 4 | |
Number of Employees in Vietnam | 19 | 49 | 57 | |
Number of Female Employees | 2135 | 2958 | 2920 | |
Number of Full-time Employees | 9818 | 13249 | 12732 | |
Number of General Employees | 8080 | 11097 | 10570 | |
Number of Male Employees | 7686 | 10292 | 9812 | |
Number of Middle Management Employees | 1264 | 1579 | 1697 | |
Number of New Employees | 2914 | 2427 | 1978 | |
Number of New Employees (Above 50) | None | None | 23 | |
Number of New Employees (Aged 30-50) | None | None | 800 | |
Number of New Employees (Aged Below 30) | None | None | 1155 | |
Number of New Employees (Female) | None | None | 408 | |
Number of New Employees (Hong Kong) | None | None | 10 | |
Number of New Employees (Mainland China) | None | None | 1900 | |
Number of New Employees (Male) | None | None | 1570 | |
Number of New Employees (Overseas) | None | None | 78 | |
Number of Part-time Employees | 3 | 1 | ||
Number of Senior Management Employees | 477 | 574 | 465 | |
Number of Temporary Workers | 10945 | |||
Number of Temporary Workers (Female) | 2245 | |||
Number of Temporary Workers (Male) | 7783 | |||
Number of Total Employees | 9821 | 13250 | 12732 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Employees still Employed 12 Months after Return to Work (Male) | 287 | |||
Turnover Rate of Employees Aged 30-50 | % | 14.08 | ||
Turnover Rate of Employees Aged Above 50 | % | 15.47 | ||
Turnover Rate of Employees Aged Below 30 | % | 20.07 | ||
Turnover Rate of Employees in Hong Kong | % | 6.85 | ||
Turnover Rate of Employees in Mainland China | % | 16.78 | ||
Turnover Rate of Employees in Poland | % | 7.98 | ||
Turnover Rate of Employees in Vietnam | % | 26.32 | ||
Turnover Rate of Female Employees | % | 12.23 | ||
Turnover Rate of Male Employees | % | 17.7 | ||
Turnover Rate of Total Employees | % | 8.16 | 8.82 | 16.45 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Work-related Fatalities | 2 | 1 | 1 | |
Number of Work-related Fatalities for Direct Employee | 2 | |||
Number of Work-related Fatality for Subcontractors | 1 | 1 | ||
Work-related Fatalities Rate | 0.02 | |||
Work-related Fatalities Rate (By Working Hours) | 0.02 | |||
Work-related Fatalities Rate for Subcontractors | 0.01 | 0.01 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Lost Working Days Due to Work-related Injuries (Contractor) | days | 109 | 304 | 175 |
Lost Working Days Due to Work-related Injuries (Employees) | days | 651 | 1343 | 582 |
Rate of Work-related Injuries | 0.13 | 0.07 | 0.04 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit |
---|---|
Percentage of Employees Trained | % |
Percentage of Trained Female Employees | % |
Percentage of Trained General Employees | % |
Percentage of Trained Male Employees | % |
Percentage of Trained Middle Management | % |
Percentage of Trained Senior Management | % |
Percentage of Trained Technical Employees | % |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 77.72 | 26.31 | 91.95 |
Average Training Hours (General Staff) | hours | 81.16 | 28.74 | 77.15 |
Average Training Hours (Male) | hours | 79.12 | 28.14 | 61.87 |
Average Training Hours (Middle Management) | hours | 71.32 | 23.83 | 28.17 |
Average Training Hours (Senior Management) | hours | 58.89 | 18.94 | 26.34 |
Average Training Hours per Employee | hours | 78.81 | 27.73 | 68.77 |
Total Training Hours | hours | 774006 | 367447 | 875520.98 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Suppliers in Mainland China | people | 13322 |
Number of Suppliers in Overseas | people | 1658 |
Number of Total Suppliers | people | 14980 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Number of Suppliers Certified to ISO 45001 Occupational Health and Safety Management System | percent |
Number of Suppliers Certified to ISO 9001 Quality Management System | percent |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Suppliers Participated in Sustainability Risk Assessment | suppliers | 248 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit |
---|---|
Total Number of Customer Complaints | cases |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2020 |
---|---|---|
Accumulative Number of Patents Granted | count | 235 |
Number of Authorised Utility Model Patents | count | 208 |
Number of Intellectual Property Rights Obtained by the Company | count | 235 |
Number of Invention Patents | count | 11 |
Number of Patents Granted | count | 235 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2013 | 2020 |
---|---|---|---|
Total In-kind Donations | million RMB | 13.5 | |
Total Public Welfare Donations | HKD | 14184000 | |
Total Social Investment | million RMB | 1.5 | 8.5 |