Sustainability Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| NO₂ emissions | MT | 1320 | 1470 | 1924 | 3809 | 132 |
| RSP emissions | MT | 88 | 93 | 134 | 274 | 132 |
| SO₂ emissions | MT | 630 | 667 | 716 | 975 | 132 |
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 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| GHG intensity (based on on-grid electricity) | kg CO2 equivalent/kWh | 0.11 | 0.34 | 0.15 | 0.22 | 133 |
| GHG intensity (based on operating revenue) | MT CO2 equivalent/HK$ million | No information collected | No information collected | 192.53 | 298.94 | 133 |
| Scope 1 – direct GHG emissions | MT CO₂ equivalent | 169047 | 964173 | 677134 | 1232231 | 132 |
| Scope 2 – energy indirect GHG emissions | MT CO₂ equivalent | 8657 | 15538 | 36210 | 75638 | 132 |
| Scope 3 – Other indirect GHG emissions | MT CO₂ equivalent | 3944 | 6961 | 88589 | 170429 | 132 |
| Total GHG emissions (Scopes 1 and 2) | MT CO₂ equivalent | 177704 | 979711 | 713344 | 1307869 | 132 |
| Total GHG emissions (Scopes 1, 2 and 3) | MT CO₂ equivalent | 181648 | 986672 | 801933 | 1478298 | 132 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Hazardous and solid waste processing volume | MT | 113031 | 127052 | 208410 | 209042 | 131 |
| Hazardous waste intensity (based on on-grid electricity) | MT/MWh | 0.01 | 0.01 | 0.035 | 0.142 | 133 |
| Hazardous waste intensity (based on operating revenue) | MT/HK$ million | No information collected | No information collected | 34.43 | 160.43 | 133 |
| Volume of hazardous waste generated | MT | 17345 | 39513 | 143427 | 817990 | 133 |
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 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Household waste processing volume | MT | 249212 | 881254 | 1413171 | 2308896 | 131 |
| Non-hazardous waste intensity (based on on-grid electricity) | MT/MWh | 0.21 | 0.28 | 0.23 | 0.33 | 134 |
| Non-hazardous waste intensity (based on operating revenue) | MT/HK$ million | No information collected | No information collected | 210.86 | 346.99 | 134 |
| Volume of non-hazardous waste generated | MT | 349910 | 805550 | 877369 | 1769169 | 134 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| GHG emission reduction | MT CO2 equivalent | 1451958 | 2553620 | 2396687 | 3285092 | 133 |
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 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Biomass raw materials processing volume | MT | 1684691 | 3159990 | 4748266 | 5297959 | 131 |
| Diesel consumption | MWh | No information collected | 24670 | 48704 | 81706 | 135 |
| Direct energy consumption | MWh | 113810 | 141805 | 7680664 | 16467100 | 135 |
| Energy intensity (based on on-grid electricity) | MWh/MWh | 0.074 | 0.057 | 2 | 2.19 | 137 |
| Energy intensity (based on operating revenue) | MWh/HKS'000 | No information collected | No information collected | 1.86 | 2.33 | 137 |
| Gasoline consumption | MWh | No information collected | 2389 | 4754 | 4297 | 135 |
| Green on-grid electricity | MWh | 1667503 | 2873780 | 4106589 | 5630945 | 131 |
| Green on-grid electricity per MT of biomass | kWh/MT of biomass fuel | 826.98 | 809.2 | 737.53 | 706.5 | 131 |
| Indirect energy | MWh | 12014 | 21659 | 67106 | 158562 | 137 |
| LNG consumption | MWh | No information collected | No information collected | 3299 | 4007 | 135 |
| LPG consumption | MWh | No information collected | No information collected | 116 | 2 | 135 |
| Methane consumption | MWh | No information collected | No information collected | 31 | 135 | |
| Natural gas consumption | MWh | 2221 | 2700 | 12114 | 32173 | 135 |
| Purchased electricity | MWh | 12014 | 21659 | 45018 | 60001 | 137 |
| Purchased steam (heat) | MWh | No information collected | No information collected | 22088 | 98561 | 137 |
| Sold electricity | MWh | No information collected | No information collected | -4106589 | -5630945 | 137 |
| Sold steam (heat) | MWh | No information collected | No information collected | -621509 | -871636 | 137 |
| Total energy consumption | MWh | 125825 | 163464 | 7747770 | 11864027 | 137 |
| Total length of aboveground transmission lines | km | 68.54 | 84.99 | 116.35 | 165.21 | 131 |
| Total length of underground transmission lines | km | 16.58 | 20.32 | 23.67 | 32.88 | 131 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Total water consumption | m3 | 4467770 | 6533952 | 13228298 | 21444907 | 104, 137 |
| Water consumption intensity (based on on-grid electricity) | m³/kWh | 0.0027 | 0.0023 | 0.0034 | 0.004 | 138 |
| Water consumption intensity (based on operating revenue) | m³/HKS'000 | No information collected | No information collected | 3.18 | 4.21 | 138 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Intensity of packaging materials (based on operating revenue) | kg/HKS million | N/A | N/A | Not disclosed | 0.3 | 138 |
| Total volume of packaging materials | MT | N/A | N/A | 0.26 | 1.53 | 138 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of environmental protection projects in operation | 119 | 24 | |
| Number of environmental remediation projects undertaken | 36 | 24 | |
| Total contract amount for environmental remediation projects | RMB billion | 10.14 | 24 |
| Total investment in environmental protection projects | RMB billion | 314.68 | 24 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Female employees | persons | 806 | 76 | |||
| Full-time employees (Female) | persons | 806 | 76 | |||
| Full-time employees (Male) | persons | 2913 | 76 | |||
| Headcount by geographical region - Hong Kong | person | 13 | 16 | 19 | 18 | 140 |
| Headcount by geographical region - Mainland China | person | 1768 | 2490 | 3296 | 3701 | 140 |
| Indefinite/long-term contract employees (Hong Kong, Female) | persons | 11 | 76 | |||
| Indefinite/long-term contract employees (Hong Kong, Male) | persons | 7 | 76 | |||
| Indefinite/long-term contract employees (Mainland China, Female) | persons | 50 | 76 | |||
| Indefinite/long-term contract employees (Mainland China, Male) | persons | 196 | 76 | |||
| Male employees | persons | 2913 | 76 | |||
| New staff by age - 30 or below | person (%) | 540 (55.10%) | 626 (48.08%) | 722 (44.87%) | 542 (32.65%) | 140 |
| New staff by age - 31-40 | person (%) | 229 (39.83%) | 346 (37.98%) | 404 (31.54%) | 324 (20.66%) | 140 |
| New staff by age - 41-50 | person (%) | 67 (34.01%) | 50 (19.69%) | 87 (24.37%) | 65 (16.25%) | 140 |
| New staff by age - 51 or above | person (%) | 0 (0.00%) | 6 (15.38%) | 20 (29.41%) | 14 (15.38%) | 140 |
| New staff by gender - Female | person (%) | 153 (42.38%) | 214 (41.00%) | 287 (39.59%) | 195 (24.19%) | 140 |
| New staff by gender - Male | person (%) | 683 (48.10%) | 814 (41.03%) | 946 (36.53%) | 750 (25.75%) | 140 |
| New staff by geographical region - Hong Kong | person (%) | 3 (23.08%) | 1 (6.25%) | 3 (15.79%) | 3 (16.67%) | 140 |
| New staff by geographical region - Mainland China | person (%) | 833 (47.12%) | 1027 (41.24%) | 1230 (37.32%) | 942 (25.45%) | 140 |
| New staff headcount and ratio | person (%) | 836 (46.94%) | 1028 (41.02%) | 1233 (37.19%) | 945 (25.41%) | 140 |
| Term contract employees (Mainland China, Female) | persons | 745 | 76 | |||
| Term contract employees (Mainland China, Male) | persons | 2710 | 76 | |||
| Total annual remuneration of highest paid employee in proportion to the median of the total annual remuneration of all employees (excluding that of the highest paid employee) | 45.23 : 1 | 58.84 : 1 | 63.01 : 1 | 48.45 : 1 | 142 | |
| Total number of staff applying for parental leave during the Reporting Year (Female) | person | 20 | 25 | 42 | 44 | 143 |
| Total number of staff applying for parental leave during the Reporting Year (Male) | person | 65 | 71 | 100 | 96 | 143 |
| Total number of staff eligible for parental leave during the Reporting Year (Female) | person | No information collected | No information collected | 669 | 322 | 143 |
| Total number of staff eligible for parental leave during the Reporting Year (Male) | person | No information collected | No information collected | 2285 | 982 | 143 |
| Total staff headcount | persons | 3719 | 76 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Incremental rate of total annual remuneration of highest paid employee in proportion to the annual percentage growth of the median of the total annual remuneration of all employees (excluding that of the highest paid employee) | 1.40 : 1 | -0.87 : 1 | 3.27 : 1 | 0.80 : 1 | 142 | |
| Staff turnover by age: 30 or below | person (%) | 86 (8.78%) | 159 (12.21%) | 253 (15.72%) | 302 (18.19%) | 141 |
| Staff turnover by age: 31–40 | person (%) | 42 (7.30%) | 82 (9.00%) | 141 (11.01%) | 193 (12.31%) | 141 |
| Staff turnover by age: 41–50 | person (%) | 14 (7.11%) | 21 (8.27%) | 25 (7.00%) | 37 (9.25%) | 141 |
| Staff turnover by age: 51 or above | person (%) | 0 (0.00%) | 2 (5.13%) | 10 (14.71%) | 9 (9.89%) | 141 |
| Staff turnover by gender: Female | person (%) | 28 (7.76%) | 52 (9.96%) | 81 (11.17%) | 107 (13.28%) | 141 |
| Staff turnover by gender: Male | person (%) | 114 (8.03%) | 212 (10.69%) | 348 (13.44%) | 434 (14.90%) | 141 |
| Staff turnover by geographical region: Hong Kong | person (%) | 2 (7.92%) | 0 (0.00%) | 2 (10.53%) | 2 (11.11%) | 141 |
| Staff turnover by geographical region: Mainland China | person (%) | 140 (13.38%) | 264 (10.0%) | 427 (12.96%) | 539 (14.56%) | 141 |
| Staff turnover headcount and ratio | person (%) | 142 (7.97%) | 264 (10.53%) | 429 (12.94%) | 541 (14.55%) | 141 |
| Total number of staff returning to work after parental leave and remaining in service after 12 months and retention rate (Female) | person (%) | 8 (100%) | 13 (100%) | 4 (80.00%) | 21 (87.50%) | 143 |
| Total number of staff returning to work after parental leave and remaining in service after 12 months and retention rate (Male) | person (%) | 15 (93.75%) | 44 (93.62%) | 8 (61.54%) | 38 (97.44%) | 143 |
| Total number of staff returning to work after parental leave and return to work rate (Female) | person (%) | 20 (100%) | 13 (92.86%) | 23 (88.46%) | 26 (86.67%) | 143 |
| Total number of staff returning to work after parental leave and return to work rate (Male) | person (%) | 62 (95.38%) | 65 (98.48%) | 92 (95.83%) | 89 (95.70%) | 143 |
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 rate of fatality caused by work-related injuries (Other workers) | case (0.04 case/200000 hours) | 1 | 144 | ||
| Number and rate of fatality caused by work-related injuries (Staff) | case (0.03 case/200000 hours), case (0.04 case/200000 hours) | 1 | 1 | 144 | |
| Number and rate of high-consequence work-related injuries (Staff) | case (case/200000 hours) | 1 (0.04) | 2 (0.06) | 145 | |
| Number and rate of recordable work-related injuries (Other workers) | case (case/200000 hours) | 2 (0.15) | 3 (0.18) | 1 (0.04) | 145 |
| Number and rate of recordable work-related injuries (Staff) | case (case/200000 hours) | 4 (0.22) | 6 (0.25) | 4 (0.12) | 145 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work injury (Other workers) | Day | 45 | 13 | No information collected | 145 |
| Lost days due to work injury (Staff) | Day | 199 | 237 | 655 | 145 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Number and ratio of workers covered by OHS management system | person (100%) | No information collected | No information collected | 3520 | 7151 | 144 |
| Number and ratio of workers covered by externally certified management systems | person (20.72%), person (45.88%) | No information collected | No information collected | 1615 | 1482 | 144 |
| Number and ratio of workers covered by internally audited management systems | person (78.13%), person (99.75%) | No information collected | No information collected | 2750 | 7133 | 144 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Average training hour per staff | Hour | 87.44 | 104.38 | 36 | 15.82 | 147 |
| Average training hour per staff by employee category: General and technical staff | Hour | 101.32 | 115.53 | 39.98 | 15.44 | 147 |
| Average training hour per staff by employee category: Middle management | Hour | 21.61 | 52.61 | 18.3 | 18.66 | 147 |
| Average training hour per staff by employee category: Senior management | Hour | 27.52 | 55.2 | 12.04 | 17.54 | 147 |
| Average training hour per staff by gender: Female | Hour | 74.46 | 66.73 | 35.14 | 23.03 | 147 |
| Average training hour per staff by gender: Male | Hour | 90.75 | 114.29 | 36.23 | 14.46 | 147 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Number of government agencies | unit | 19 | 27 | 105 | 161 | 131 |
| Number of industrial/commercial clients | unit | 1256 | No information collected | 2132 | 2431 | 131 |
| Number of suppliers | Unit | 789 | 113 | 1758 | 1374 | 147 |
| Number of suppliers by geographic region: Hong Kong | Unit | 42 | 30 | 147 | ||
| Number of suppliers by geographic region: Mainland China | Unit | 789 | 113 | 1716 | 1343 | 147 |
| Number of suppliers by geographic region: Overseas | Unit | — | — | — | 1 | 147 |
| Supply of sold steam | MT | 171027 | 363391 | 821023 | 871569 | 131 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of authorised patents held | 149 | 24 | |
| Number of invention patents held | 21 | 24 | |
| Number of new utility model patents obtained during the year | 21 | 24 | |
| Number of software copyrights held | 5 | 24 | |
| Number of utility model patents held | 128 | 24 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| Population of cities served | Million persons | No information collected | No information collected | 26 | 45 | 131 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | MT | 88 | 93 | 134 | 274 |
| NOₓ Emissions | MT | 1320 | 1470 | 1924 | 3809 |
| SOₓ Emissions | MT | 630 | 667 | 716 | 975 |
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 | 2020 |
|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | MT CO₂ equivalent | 169047 | 964173 | 677134 | 1232231 |
| Indirect Energy Emissions (Scope 2) | MT CO₂ equivalent | 8657 | 15538 | 36210 | 75638 |
| Total GHG Emissions | MT CO₂ equivalent | 181648 | 986672 | 801933 | 1478298 |
| Total GHG Emissions Intensity (By Energy) | kg CO2 equivalent/kWh | 0.11 | 0.34 | 0.15 | 0.22 |
| Total GHG Emissions Intensity (By Revenue) | MT CO2 equivalent/HK$ million | 192.53 | 298.94 | ||
| Total Other Indirect Energy Emissions (Scope 3) | MT CO₂ equivalent | 3944 | 6961 | 88589 | 170429 |
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 | 2020 |
|---|---|---|---|---|---|
| Total Hazardous Waste | MT | 17345 | 39513 | 143427 | 817990 |
| Total Hazardous Waste Intensity (By Revenue) | MT/HK$ million | 34.43 | 160.43 | ||
| Total Hazardous Waste Intensity (By Unit Product) | MT/MWh | 0.01 | 0.01 | 0.035 | 0.142 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Non-Hazardous Waste (Kitchen Waste) | MT | 184.4 | |||
| Non-Hazardous Waste Disposed | MT | 349910 | 805550 | 877369 | 1769169 |
| Non-Hazardous Waste Incineration | MT | 477253 | 477253 | ||
| Non-Hazardous Waste Landfilling | MT | 50091 | 50091 | ||
| Non-Hazardous Waste Recycled | MT | 124 | 124 | ||
| Non-Hazardous Waste Reused | MT | 1291369 | 1291369 | ||
| Paper Waste | MT | 709 | |||
| Total Non-Hazardous Waste Incineration | MT | 477253 | 477253 | ||
| Total Non-Hazardous Waste Intensity (By Revenue) | MT/HK$ million | None | None | 210.86 | 346.99 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | MT/MWh | 0.21 | 0.28 | 0.23 | 0.33 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| GHG Emissions Reduction Compared to Last Year | MT CO2 equivalent | 1101662 | -157933 | 888405 |
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 | 2020 |
|---|---|---|---|---|---|
| Diesel Fuel Consumption | MWh | None | 24670 | 48704 | 81706 |
| Energy Consumption Intensity (By Revenue) | MWh/HKS'000 | 1.86 | 2.33 | ||
| Energy Consumption Intensity (By Unit Product) | MWh/MWh | 0.074 | 0.057 | 2 | 2.19 |
| Gasoline Consumption | MWh | None | 2389 | 4754 | 4297 |
| LNG Consumption | MWh | 3299 | 4007 | ||
| LPG Consumption | MWh | 116 | 2 | ||
| Natural Gas Consumption | MWh | 2221 | 2700 | 12114 | 32173 |
| Purchased Electricity | MWh | 12014 | 21659 | 45018 | 60001 |
| Purchased Steam | MWh | 22088 | 98561 | ||
| Sold Electricity | MWh | -4106589 | -5630945 | ||
| Sold Heating | MWh | -621509 | -871636 | ||
| Total Direct Energy Consumption | MWh | 113810 | 141805 | 7680664 | 16467100 |
| Total Energy Consumption | MWh | 125825 | 163464 | 7747770 | 11864027 |
| Total Indirect Energy Consumption | MWh | 12014 | 21659 | 67106 | 158562 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Groundwater Consumption | m3 | 493788 | |||
| Municipal Water Consumption | m3 | 10403 | |||
| Recycled Water Usage | m3 | 615473 | |||
| Surface Water Consumption | m3 | 14607294 | |||
| Third Party Water Consumption | m3 | 2466696 | |||
| Water Consumption | m3 | 4467770 | 6533952 | 13228298 | 21444907 |
| Water Consumption Intensity (By Revenue) | m³/HKS'000 | None | None | 3.18 | 4.21 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Domestic Wastewater Reduction Compared to Last Year | m3 |
| Domestic Wastewater Reduction Percentage Compared to Last Year | % |
| Industrial Wastewater Reduction Compared to Last Year | m3 |
| Industrial Wastewater Reduction Percentage Compared to Last Year | % |
| Target Water Consumption Reduction Percentage Compared to Last Year | % |
| Wastewater Reduction Compared to Last Year | m3 |
| Wastewater Reduction Percentage Compared to Last Year | % |
| Water Consumption Reduction Compared to Last Year | m3 |
| Water Consumption Reduction Percentage Compared to Last Year | % |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Packaging Material Intensity (By Revenue) | kg/HKS million | None | 0.3 |
| Packaging Materials Consumed | MT | 0.26 | 1.53 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Investment in Ecological Restoration | RMB billion | 314.68 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Number of Employees in Hong Kong | person | 13 | 16 | 19 | 18 |
| Number of Employees in Hong Kong and Mainland China | person | 1781 | 2506 | 3315 | 3719 |
| Number of Employees in Mainland China | person | 1768 | 2490 | 3296 | 3701 |
| Number of Female Employees | persons | 806 | |||
| Number of Full-time Employees | persons | 3719 | |||
| Number of Full-time Employees (Female) | persons | 806 | |||
| Number of Full-time Employees (Male) | persons | 2913 | |||
| Number of Male Employees | persons | 2913 | |||
| Number of New Employees | person | 836 | 1028 | 1233 | 945 |
| Number of New Employees (Above 50) | person | 6 | 20 | 14 | |
| Number of New Employees (Aged 30-50) | person | 296 | 396 | 491 | 389 |
| Number of New Employees (Aged Below 30) | person | 540 | 626 | 722 | 542 |
| Number of New Employees (Female) | person | 153 | 214 | 287 | 195 |
| Number of New Employees (Hong Kong) | person | 3 | 1 | 3 | 3 |
| Number of New Employees (Mainland China) | person | 833 | 1027 | 1230 | 942 |
| Number of New Employees (Male) | person | 683 | 814 | 946 | 750 |
| Number of Total Employees | persons | 3719 | |||
| Percentage of Female Employees | % | 21.672492605539123 | |||
| Percentage of Full-time Employees | % | 100 | |||
| Percentage of Male Employees | % | 78.32750739446087 | |||
| Percentage of New Employees | % | 46.94 | 41.02 | 37.19 | 25.41 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Employees still Employed 12 Months after Return to Work (Female) | person | 8 | 13 | 4 | 21 |
| Employees still Employed 12 Months after Return to Work (Male) | person | 15 | 44 | 8 | 38 |
| Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 100 | 100 | 80 | 87.5 |
| Percentage of Employees still Employed 12 Months after Return to Work (Male) | % | 93.75 | 93.62 | 61.54 | 97.44 |
| Turnover Rate of Employees Aged 30-50 | % | 7.23 | 8.97 | 10.13 | 11.41 |
| Turnover Rate of Employees Aged Above 50 | % | 5.13 | 14.71 | 9.89 | |
| Turnover Rate of Employees Aged Below 30 | % | 8.78 | 12.21 | 15.72 | 18.19 |
| Turnover Rate of Employees in Hong Kong | % | 7.92 | 10.53 | 11.11 | |
| Turnover Rate of Employees in Mainland China | % | 13.38 | 10 | 12.96 | 14.56 |
| Turnover Rate of Female Employees | % | 7.76 | 9.96 | 11.17 | 13.28 |
| Turnover Rate of Male Employees | % | 8.03 | 10.69 | 13.44 | 14.9 |
| Turnover Rate of Total Employees | % | 7.97 | 10.53 | 12.94 | 14.55 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | case | 1 | 2 |
Lost days due to work injury.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 244 | 250 | 655 |
| Lost Working Days Due to Work-related Injuries (Contractor) | Day | 45 | 13 | |
| Lost Working Days Due to Work-related Injuries (Employees) | Day | 199 | 237 | 655 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Average Training Hours (Female) | Hour | 74.46 | 66.73 | 35.14 | 23.03 |
| Average Training Hours (General Staff) | Hour | 101.32 | 115.53 | 39.98 | 15.44 |
| Average Training Hours (Male) | Hour | 90.75 | 114.29 | 36.23 | 14.46 |
| Average Training Hours (Middle Management) | Hour | 21.61 | 52.61 | 18.3 | 18.66 |
| Average Training Hours (Senior Management) | Hour | 27.52 | 55.2 | 12.04 | 17.54 |
| Average Training Hours per Employee | Hour | 87.44 | 104.38 | 36 | 15.82 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|
| Number of Suppliers in Hong Kong | unit | 42 | 30 | ||
| Number of Suppliers in Mainland China | unit | 789 | 113 | 1716 | 1343 |
| Number of Suppliers in Overseas | unit | 1 | |||
| Number of Total Suppliers | unit | 789 | 113 | 1758 | 1374 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Authorised Utility Model Patents | 128 | |
| Number of Invention Patents | 21 | |
| Number of Patents Held | 149 |