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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Carbon monoxide (CO) emissions | Kg | 2653.75 | 4516.98 | 61 | |
| Nitrogen oxide (NOₓ) emissions | Kg | 511 | 6275.5 | 10100.07 | 61 |
| Nitrogen oxide (NOₓ) emissions intensity (units/no. of employees) | 1.63 | 2.77 | 61 | ||
| Particulate matter (PM) emissions | Kg | 383 | 38426.44 | 85156.14 | 61 |
| Particulate matter (PM) emissions intensity (units/no. of employees) | 9.99 | 23.35 | 61 | ||
| Sulfur oxide (SO₂) emissions | Kg | 4435 | 7627.64 | 13453.46 | 61 |
| Sulfur oxide (SO₂) emissions intensity (units/no. of employees) | 1.98 | 3.69 | 61 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Carbon monoxide (CO) emissions intensity (units/no. of employees) | 0.69 | 1.24 | 61 | ||
| Direct GHG emissions (Scope 1) | Tonnes CO₂e | 17891 | 9159.34 | 10037.05 | 61 |
| Direct GHG emissions (Scope 1) intensity (units/no. of employees) | 2.38 | 2.75 | 61 | ||
| Indirect GHG emissions from energy use (Scope 2) | Tonnes CO2e | 24221 | 22586.5 | 20176.54 | 62 |
| Indirect GHG emissions from energy use (Scope 2) intensity of emissions (units/no. of employees) | 5.87 | 5.53 | 62 | ||
| Reduction of GHG emissions from planted trees (Scope 1) | Tonnes CO2e | 20.98 | 199.36 | 62 | |
| Reduction of GHG emissions from planted trees (Scope 1) intensity of emissions (units/no. of employees) | 0.01 | 0.05 | 62 | ||
| Total GHG emissions | Tonnes CO₂e | 42867 | 31724.86 | 29615.49 | 61 |
| Total GHG emissions intensity (units/no. of employees) | 10.7 | 8.25 | 8.12 | 61 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Clinical waste intensity of wastes generated (units/no. of employees) | 7.40 x 10^4 | 62 | |||
| Clinical waste total generated | Tonnes | 2.7 | 62 | ||
| Hazardous sludge generated from the wastewater treatment facilities intensity of wastes generated (units/no. of employees) | 3.29 x 10^3 | 62 | |||
| Hazardous sludge generated from the wastewater treatment facilities total generated | Tonnes | 12 | 62 | ||
| Intensity of waste oil generated (units/no. of employees) | 1.64 x 10^-4 | 63 | |||
| Laboratory waste from schools intensity of wastes generated (units/no. of employees) | 4.03 x 10^5 | 8.97 x 10^5 | 62 | ||
| Laboratory waste from schools total generated | Tonnes | 0.16 | 0.33 | 62 | |
| Metal waste generated | Tonnes | 73.27 | 63 | ||
| Paint waste intensity of wastes generated (units/no. of employees) | 9.87 x 10^4 | 62 | |||
| Paint waste total generated | Tonnes | 3.6 | 62 | ||
| Total wastewater discharged | Tonnes | 1624718 | 1275025 | 1169081 | 64 |
| Waste battery intensity of wastes generated (units/no. of employees) | 0.02 | 0.27 | 62 | ||
| Waste battery total generated | Pieces | 60 | 988 | 62 | |
| Waste mercury-containing lamp intensity of wastes generated (units/no. of employees) | 0.54 | 0.36 | 62 | ||
| Waste mercury-containing lamp total generated | Pieces | 2095 | 1319 | 62 | |
| Waste oil containers and waste mineral oil intensity of wastes generated (units/no. of employees) | 2.00 x 10^3 | 3.34 x 10^3 | 3.54 x 10^3 | 62 | |
| Waste oil containers and waste mineral oil total generated | Tonnes | 10 | 12.85 | 12.9 | 62 |
| Waste oil generated | Tonnes | 0.6 | 63 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Domestic waste generated | Tonnes | 5682.78 | 4413.88 | 63 | |
| Food waste generated | Tonnes | 2700 | 1226.04 | 63 | |
| Glass waste generated | Tonnes | 3.28 | 63 | ||
| Ink or toner cartridge intensity of wastes generated (units/no. of employees) | 0.23 | 0.04 | 62 | ||
| Ink or toner cartridge total generated | Pieces | 882 | 143 | 62 | |
| Intensity of domestic waste generated (units/no. of employees) | 1.48 | 1.21 | 63 | ||
| Intensity of food waste generated (units/no. of employees) | 0.7 | 0.34 | 63 | ||
| Intensity of glass waste generated (units/no. of employees) | 8.98 x 10^-4 | 63 | |||
| Intensity of iron waste generated (units/no. of employees) | 0.78 | 63 | |||
| Intensity of metal waste generated (units/no. of employees) | 0.02 | 63 | |||
| Intensity of paper waste generated (units/no. of employees) | 1.61 x 10^3 | 0.04 | 63 | ||
| Intensity of plastic waste generated (units/no. of employees) | 0.01 | 63 | |||
| Intensity of recyclables recycled (units/no. of employees) | 0.93 | 1.33 | 63 | ||
| Intensity of total non-hazardous wastes generated (units/no. of employees) | 1.2 | 2.18 | 2.43 | 63 | |
| Intensity of wood waste generated (units/no. of employees) | 2.07 x 10^-3 | 63 | |||
| Iron waste generated | Tonnes | 2849.17 | 63 | ||
| Non-hazardous sludge generated from the wastewater treatment facilities | Tonnes | 6 | 97.2 | 63 | |
| Paper intensity of usage (units/no. of employees) | 0.04 | 0.02 | 0.01 | 65 | |
| Paper waste generated | Tonnes | 6.21 | 157.03 | 63 | |
| Percentage of non-hazardous waste recycled | Percentage | 42.76% | 54.96% | 63 | |
| Plastic waste generated | Tonnes | 26.71 | 63 | ||
| Total non-hazardous wastes generated | Tonnes | 4941 | 8394.99 | 8854.73 | 63 |
| Wood waste generated | Tonnes | 7.56 | 63 |
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 |
|---|---|---|---|---|
| Recyclables (including non-hazardous wastes such as food waste, paper, waste oil, plastic and metal) recycled | Tonnes | 3590.08 | 4866.35 | 63 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Coal usage | Tonnes | 5662 | 3518.16 | 2520.79 | 64 |
| Diesel usage | Litres | 326424 | 79105.77 | 139254.34 | 64 |
| Electricity usage | MWh | 44267 | 41090.03 | 36398.06 | 64 |
| Gasoline usage | Litres | 485531 | 126864.82 | 145395.02 | 64 |
| Intensity of coal usage (units/no. of employees) | 1.4 | 0.91 | 0.69 | 64 | |
| Intensity of diesel usage (units/no. of employees) | 81.3 | 20.56 | 38.18 | 64 | |
| Intensity of electricity usage (units/no. of employees) | 11 | 10.68 | 9.98 | 64 | |
| Intensity of gasoline usage (units/no. of employees) | 121 | 32.97 | 39.86 | 64 | |
| Intensity of natural gas usage (units/no. of employees) | 160.71 | 201.8 | 64 | ||
| Natural gas usage | m² | 618314 | 736065.95 | 64 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Domestic sewage discharged | Tonnes | 1219040 | 1126430 | 64 | |
| Groundwater intensity of usage (units/no. of employees) | 13.32 | 14.77 | 65 | ||
| Groundwater usage | Tonnes | 51265 | 53882 | 65 | |
| Hot water usage | Tonnes | 7900 | 1670 | 64 | |
| Industrial wastewater discharged | Tonnes | 55986 | 42651 | 64 | |
| Intensity of domestic sewage discharged (units/no. of employees) | 316.84 | 308.82 | 64 | ||
| Intensity of hot water usage (units/no. of employees) | 2.05 | 0.46 | 64 | ||
| Intensity of industrial wastewater discharged (units/no. of employees) | 14.55 | 11.69 | 64 | ||
| Intensity of non-hazardous sludge generated from the wastewater treatment facilities (units/no. of employees) | 1.56 x 10^3 | 0.03 | 63 | ||
| Intensity of total wastewater discharged (units/no. of employees) | 404.96 | 331.39 | 320.52 | 64 | |
| Municipal water intensity of usage (units/no. of employees) | 397.3 | 455.75 | 418.86 | 65 | |
| Municipal water usage | Tonnes | 1594175 | 1753503 | 1527805 | 65 |
| Paper usage (education operation and automotive parts business) | Tonnes | 157.3 | 83.83 | 39 | 65 |
| Wastewater reused intensity of usage (units/no. of employees) | 3.12 | 3.8 | 65 | ||
| Wastewater reused usage | Tonnes | 12000 | 13861 | 65 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Intensity of wood usage (units/no. of employees) | 0.36 | 64 | |||
| Packaging materials - Metal intensity of usage (units/no. of manufactured products) | 1.73 x 10^5 | 9.36 x 10^4 | 6.90 x 10^4 | 65 | |
| Packaging materials - Metal usage (automotive parts business) | Tonnes | 223 | 9137.15 | 4900 | 65 |
| Packaging materials - Paper intensity of usage (units/no. of manufactured products) | 1.04 x 10^5 | 4.88 x 10^4 | 3.07 x 10^4 | 65 | |
| Packaging materials - Paper usage (automotive parts business) | Tonnes | 134 | 4758.53 | 2179 | 65 |
| Packaging materials - Plastic intensity of usage (units/no. of manufactured products) | 7.77 x 10^5 | 4.95 x 10^5 | 4.75 x 10^5 | 65 | |
| Packaging materials - Plastic usage (automotive parts business) | Tonnes | 1000 | 483.54 | 337 | 65 |
| Packaging materials - Shared logistics boxes intensity of usage (units/no. of manufactured products) | 1.99 x 10^4 | 65 | |||
| Packaging materials - Shared logistics boxes usage (automotive parts business) | Tonnes | 1413.37 | 65 | ||
| Packaging materials - Wood intensity of usage (units/no. of manufactured products) | 2.65 x 10^4 | 1.80 x 10^4 | 65 | ||
| Packaging materials - Wood usage (automotive parts business) | Tonnes | 2584.13 | 1281 | 65 | |
| Wood usage | Tonnes | 1321.86 | 64 |
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 above 50 years old | Numbers | 427 | 66 |
| Number of employees aged 30-40 | Numbers | 1183 | 66 |
| Number of employees aged 41-50 | Numbers | 941 | 66 |
| Number of employees below 30 years old | Numbers | 1031 | 66 |
| Number of employees in China | Numbers | 3529 | 66 |
| Number of employees in Hong Kong | Numbers | 43 | 66 |
| Number of female employees | Numbers | 1529 | 66 |
| Number of general employees | Numbers | 3275 | 66 |
| Number of male employees | Numbers | 2053 | 66 |
| Number of middle management employees | Numbers | 246 | 66 |
| Number of senior management employees | Numbers | 61 | 66 |
| Percentage of employees above 50 years old | 11.92% | 66 | |
| Percentage of employees aged 30-40 | 33.03% | 66 | |
| Percentage of employees aged 41-50 | 26.27% | 66 | |
| Percentage of employees below 30 years old | 28.78% | 66 | |
| Percentage of employees in China | 98.80% | 66 | |
| Percentage of employees in Hong Kong | 1.20% | 66 | |
| Percentage of female employees | 42.69% | 66 | |
| Percentage of general employees | 91.43% | 66 | |
| Percentage of male employees | 57.31% | 66 | |
| Percentage of middle management employees | 6.87% | 66 | |
| Percentage of senior management employees | 1.70% | 66 | |
| Total number of employees | Numbers | 3582 | 66 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee turnover rate above 50 years old | 15.31% | 66 | |
| Employee turnover rate aged 30-40 | 19.44% | 66 | |
| Employee turnover rate aged 41-50 | 12.45% | 66 | |
| Employee turnover rate below 30 years old | 29.00% | 66 | |
| Employee turnover rate in China | 19.89% | 66 | |
| Employee turnover rate in Hong Kong | 34.48% | 66 | |
| Female employee turnover rate | 16.88% | 66 | |
| General employee turnover rate | 21.26% | 66 | |
| Male employee turnover rate | 22.31% | 66 | |
| Middle management employee turnover rate | 6.24% | 66 | |
| Number of employee turnover above 50 years old | Numbers | 64 | 66 |
| Number of employee turnover aged 30-40 | Numbers | 238 | 66 |
| Number of employee turnover aged 41-50 | Numbers | 114 | 66 |
| Number of employee turnover below 30 years old | Numbers | 316 | 66 |
| Number of employee turnover in China | Numbers | 717 | 66 |
| Number of employee turnover in Hong Kong | Numbers | 15 | 66 |
| Number of female employee turnover | Numbers | 254 | 66 |
| Number of general employee turnover | Numbers | 711 | 66 |
| Number of male employee turnover | Numbers | 478 | 66 |
| Number of middle management employee turnover | Numbers | 15 | 66 |
| Number of senior management employee turnover | Numbers | 6 | 66 |
| Senior management employee turnover rate | 9.52% | 66 | |
| Total employee turnover rate | 20.07% | 66 | |
| Total number of employee turnover | Numbers | 732 | 66 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Kg | 383 | 38426.44 | 85156.14 |
| NOₓ Emission Intensity (By Logistics) | units/no. of employees | 1.63 | 2.77 | |
| NOₓ Emissions | Kg | 511 | 6275.5 | 10100.07 |
| PM Emission Intensity (By Logistics) | units/no. of employees | 9.99 | 23.35 | |
| SOₓ Emission Intensity (By Logistics) | units/no. of employees | 1.98 | 3.69 | |
| SOₓ Emissions | Kg | 4435 | 7627.64 | 13453.46 |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Tonnes CO₂e | 17891 | 9159.34 | 10037.05 |
| GHG Removals from Newly Planted Trees | Tonnes CO2e | 20.98 | 199.36 | |
| Indirect Energy Emissions (Scope 2) | Tonnes CO2e | 24221 | 22586.5 | 20176.54 |
| Scope 1 GHG Emissions Intensity (By Employee) | 2.38 | 2.75 | ||
| Scope 2 GHG Emissions Intensity (By Employee) | 5.87 | 5.53 | ||
| Total GHG Emissions | Tonnes CO₂e | 42867 | 31724.86 | 29615.49 |
| Total GHG Emissions Intensity (By Employee) | 10.7 | 8.25 | 8.12 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Hazardous Waste | Tonnes | 10 | 12.85 | 0.6 |
| Total Hazardous Waste Intensity (By Employee) | units/no. of employees | 2000 | 403000 | 74000 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Total Non-Hazardous Waste Intensity (By Employee) | 1.2 |
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 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | percent | 35.6 |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Coal usage | Tonnes | 5662 | 3518.16 | 2520.79 |
| Diesel Fuel Consumption | Litres | 326424 | 79105.77 | 139254.34 |
| Energy Consumption Intensity (By Employee) | None | None | None | |
| Fossil Fuel Consumption | None | None | None | |
| Gasoline Consumption | Litres | 485531 | 126864.82 | 145395.02 |
| Natural Gas Consumption | m² | None | 618314 | 736065.95 |
| Purchased Electricity | MWh | 44267 | 41090.03 | 36398.06 |
| Total Direct Energy Consumption | None | None | None | |
| Total Electricity Consumption Intensity (By Employee) | 11 | 10.68 | 9.98 | |
| Total Energy Consumption | None | None | None | |
| Total Indirect Energy Consumption | MWh | 44267 | 41090.03 | 36398.06 |
| Total Non-Renewable Fuel Consumption | None | None | None |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Discharge of Domestic Wastewater | Tonnes | 1219040 | 1126430 | |
| Discharge of Industrial Wastewater | Tonnes | 55986 | 42651 | |
| Groundwater Withdrawal | Tonnes | 51265 | 53882 | |
| Municipal Water Consumption | Tonnes | 1594175 | 1753503 | 1527805 |
| Recycled Water Usage | Tonnes | 12000 | 13861 | |
| Total Wastewater Discharge | units/no. of employees | 404.96 | 331.39 | 320.52 |
| Water Withdrawal Intensity | units/no. of employees | 397.3 | 455.75 | 418.86 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Packaging Material Consumption (Metal) | Tonnes | 223 | 9137.15 | 4900 |
| Packaging Material Consumption (Paper) | Tonnes | 134 | 4758.53 | 2179 |
| Packaging Material Consumption (Plastic) | Tonnes | 1000 | 483.54 | 337 |
| Packaging Material Intensity (By Employee) | 0.36 | |||
| Packaging Material Intensity (By Unit Product) | units/no. of manufactured products | 777000 | 495000 | 69000 |
| Usage of Packaging Materials (Wood) | Tonnes | 2584.13 | 1281 |
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 | Numbers | 2124 |
| Number of Employees Aged Above 50 | Numbers | 427 |
| Number of Employees Aged Below 30 | Numbers | 1031 |
| Number of Employees in Hong Kong | Numbers | 43 |
| Number of Employees in Mainland China | Numbers | 3529 |
| Number of Female Employees | Numbers | 1529 |
| Number of General Employees | Numbers | 3275 |
| Number of Male Employees | Numbers | 2053 |
| Number of Middle Management Employees | Numbers | 246 |
| Number of Senior Management Employees | Numbers | 61 |
| Number of Total Employees | Numbers | 3582 |
| Percentage of Employees Aged 30-50 | % | 59.3 |
| Percentage of Employees Aged Above 50 | % | 11.92 |
| Percentage of Employees Aged Below 30 | % | 28.78 |
| Percentage of Employees in Hong Kong | % | 1.2 |
| Percentage of Employees in Mainland China | % | 98.8 |
| Percentage of Female Employees | % | 42.69 |
| Percentage of General Employees | % | 91.43 |
| Percentage of Male Employees | % | 57.31 |
| Percentage of Middle Management Employees | % | 6.87 |
| Percentage of Senior Management Employees | % | 1.7 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 19.44 |
| Turnover Rate of Employees Aged Above 50 | % | 15.31 |
| Turnover Rate of Employees Aged Below 30 | % | 29 |
| Turnover Rate of Employees in Hong Kong | % | 34.48 |
| Turnover Rate of Employees in Mainland China | % | 19.89 |
| Turnover Rate of Female Employees | % | 16.88 |
| Turnover Rate of General Employees | % | 21.26 |
| Turnover Rate of Male Employees | % | 22.31 |
| Turnover Rate of Middle Management Employees | % | 6.24 |
| Turnover Rate of Senior Management Employees | % | 9.52 |
| Turnover Rate of Total Employees | % | 20.07 |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | Days |
| Number of Work-related Injuries | Numbers |
| Rate of Work-related Injuries | % |
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 | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | Hours |
| Average Training Hours (General Staff) | Hours |
| Average Training Hours (Male) | Hours |
| Average Training Hours (Middle Management) | Hours |
| Average Training Hours (Senior Management) | Hours |
| Average Training Hours per Employee | Hours |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers in Hong Kong | Numbers |
| Number of Suppliers in Mainland China | Numbers |
| Number of Total Suppliers | Numbers |