Sustainability Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
CO emissions | Tonne | 0.6 | 0.75 | 127 | |
NOx emissions | Tonne | 248.09 | 297.27 | 127 | |
Particulate matter emissions | Tonne | 6.6 | 10.64 | 127 | |
Transformation of remaining two boilers with denitrification and ultra-low emission functions (target completion year) | boilers | 2 | 105 |
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 | 2022 | 2023 | 2026–2030 | Report Pages |
---|---|---|---|---|---|
Carbon emissions reduced from ACS system retrofitting of boilers 6 and 7 | tonnes | 2470 | 110 | ||
GHG emissions from acetylene | Tonne CO2e | 20.57 | 19.95 | 127 | |
GHG emissions from business trips (Air) | Tonne CO2e | 83.12 | 203.34 | 128 | |
GHG emissions from business trips (Rail) | Tonne CO2e | 20.63 | 128 | ||
GHG emissions from carbonate | Tonne CO2e | 2264.91 | 2185.74 | 127 | |
GHG emissions from fire extinguishing agent | Tonne CO2e | 984.9 | 2631.6 | 127 | |
GHG emissions from fossil fuel combustion – LPG | Tonne CO2e | 39.37 | 23.03 | 127 | |
GHG emissions from fossil fuel combustion – diesel | Tonne CO2e | 526.37 | 625.91 | 127 | |
GHG emissions from fossil fuel combustion – gasoline | Tonne CO2e | 238.52 | 334.11 | 127 | |
GHG emissions from fossil fuel combustion – lignite | Tonne CO2e | 724305.55 | 705779.22 | 127 | |
GHG emissions from fossil fuel combustion – natural gas | Tonne CO2e | 111.18 | 104.5 | 127 | |
GHG emissions from fresh water processing | Tonne CO2e | 399.28 | 128 | ||
GHG emissions from refrigerant | Tonne CO2e | 35.09 | 127 | ||
GHG emissions from sewage processing | Tonne CO2e | 66.17 | 128 | ||
GHG emissions from suppliers/contractors - acetylene | Tonne CO2e | 18.36 | 128 | ||
GHG emissions from suppliers/contractors - diesel | Tonne CO2e | 241.23 | 128 | ||
GHG emissions from waste disposal | Tonne CO2e | 331.66 | 128 | ||
Intensity of GHG emissions | Tonne CO2e per HK$ million revenues | 97.86 | 84.83 | 128 | |
Intensity of Scope 1 and Scope 2 GHG emissions | Tonne CO2e per HK$ million revenues | 97.85 | 84.69 | 127 | |
Reduce carbon emissions intensity (carbon emissions/revenue) compared to 2021 | % | 25 | 94 | ||
SO2 emissions | Tonne | 136.78 | 108.86 | 127 | |
Scope 1 and Scope 2 GHG emissions in total | Tonne CO2e | 750375.66 | 733873.03 | 127 | |
Scope 1 direct GHG emission in total | Tonne CO2e | 728491.37 | 711739.15 | 127 | |
Scope 2 indirect GHG emission from energy – purchased electricity | Tonne CO2e | 21884.29 | 22133.87 | 127 | |
Scope 3 GHG emissions in total | Tonne CO2e | 83.12 | 1280.68 | 128 | |
Total GHG emissions | Tonne CO2e | 750458.78 | 735153.71 | 128 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Intensity of hazardous waste | Tonne per HK$ million revenues | 25.43 × 10^-4 | 86.55 × 10^-6 | 128 |
Total hazardous waste | Tonne | 19.5 | 0.75 | 128 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Far East (Hong Kong) per capita paper consumption of functional departments and design departments | % compared with 2022 | -43 | 93 | |
Intensity of non-hazardous waste discharge | Tonne per HK$ million revenues | 28.58 | 23.95 | 128 |
Total non-hazardous waste discharge | Tonne | 219149.29 | 207559.37 | 128 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2026 | 2050 | 2050 and 2060 | 2060 | Report Pages |
---|---|---|---|---|---|---|
Achieve carbon neutrality in Hong Kong and Chinese Mainland | carbon neutrality | 94 | ||||
Carbon emissions intensity reduction target (carbon emissions/revenue) | % | -25 | 100 | |||
Carbon emissions per revenue reduction target | % | 25 | 20 | |||
Carbon intensity reduction target (carbon emissions/revenue) compared to 2021 | % | -25 | 39 | |||
Carbon intensity reduction target (compared to 2021) | % | 25 | 32 | |||
Carbon neutrality target for Chinese Mainland | Achieve carbon neutrality | 100 | ||||
Carbon neutrality target for Hong Kong | Achieve carbon neutrality | 100 | ||||
Carbon neutrality target in Chinese Mainland | carbon neutrality | 39 | ||||
Carbon neutrality target in Hong Kong | carbon neutrality | 39 | ||||
Targeted reduction in carbon emission intensity | % | 25 | 6 | |||
carbon intensity reduction target (compared to 2021) | % | -25 | 92 | |||
net-zero emissions target in Chinese Mainland | net-zero | 92 | ||||
net-zero emissions target in Hong Kong | net-zero | 92 |
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 | 2023 | 2026 | Report Pages |
---|---|---|---|---|
Density of packaging materials reduction target (compared to 2022) | % | 10 | 32 | |
Waste separation facilities set up in all office and factories | Wastewi$e certificate from Hong Kong Green Organisation Certification received | 93 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | 2025 | 2026 | Report Pages |
---|---|---|---|---|---|
Annual coal consumption | tons | 545000 | 102 | ||
Annual heat provided by Huanggu Thermoelectric | million m² | 18.42 | 102 | ||
Annual heat provided by Huanggu Thermoelectric, year-on-year increase | m² | 70000 | 102 | ||
Average annual electricity generation from photovoltaic projects at Far East (Zhuhai) | million kWh | 1.9 | 104 | ||
Clean heating rate of urban area of Shenyang under the 14th Five-Year Plan (target for 2025) | % | 100 | 105 | ||
Far East (Hong Kong) per capita electricity consumption of office building lighting system/air conditioning system | % compared with 2022 | -11 | 93 | ||
Intensity of non-renewable materials | Tonne per HK$ million revenue | 6.49 | 130 | ||
Reduce diesel use on construction site vehicles by Gamma USA and Canada | % | 30 | 94 | ||
Reduce fuel consumption of official vehicles by Gamma USA and Canada | 1/3 | 94 | |||
Reduction in diesel consumption of construction sites and vehicles (North America office) | % | -30 | 100 | ||
Reduction in per capita electricity consumption (Hong Kong office) | % | -10 | 100 | ||
Reduction in petrol consumption of company vehicles (North America office) | % | -33.3 | 100 | ||
Solar energy generated after factory roof renovation | million kWh | 1.4 | 20 | ||
Total non-renewable materials | Tonne 噸 | 56231.63 | 130 | ||
Zhuhai factory actual electricity generation from BIPV | million kWh | 1.4 | 100 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Groundwater | Tonne 噸 | 1346441.35 | 1394956 | 130 |
Intensity of water discharge | Tonne per HK$ million revenue | 7.44 | 10.55 | 130 |
Intensity of water withdrawal | Tonne per HK$ million revenue | 286.68 | 272.46 | 130 |
Third-party water | Tonne 噸 | 852074.63 | 966133.64 | 130 |
Total water discharge | Tonne 噸 | 57086.6 | 91456.3 | 130 |
Total water withdrawal | Tonne 噸 | 2198515.99 | 2361089.64 | 130 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 | 2023 | 2025 | 2026 | Report Pages |
---|---|---|---|---|---|---|
Annual coal consumption, year-on-year decrease | tons | 30000 | 102 | |||
Annual electricity saving from energy-efficient transformer upgrade | kWh | 194100 | 109 | |||
Coal saved from ACS system retrofitting of boilers 6 and 7 | % | 3 | 110 | |||
Consumption reduction from technical transformation of hydraulic balance of secondary network (heat exchange stations) | % | 3–10 | 110 | |||
Diesel usage reduction in construction sites or vehicles (Far East USA and Canada) | % | 30 | 32 | |||
Electricity saved from ACS system retrofitting of boilers 6 and 7 | % | 0.57 | 110 | |||
Electricity saved from upgrading 200 floodlights to LED type | kWh | 100000 | 110 | |||
Electricity saved from upgrading converters of two water pumps, six furnace screw coal feeders, six furnace scraper conveyors, and one chemical heat network pump | kWh | 366800 | 110 | |||
Energy saving from technical transformation of hydraulic balance of secondary network (heat exchange stations) | % | 2.4–5 | 110 | |||
Expected annual electricity saving from Phase 5 retrofitting project of sealed desulphurisation fan inlet pipelines | kWh | 254000 | 109 | |||
Projected roof space utilisation for photovoltaic projects at Far East (Zhuhai) | m² | 35000 | 104 | |||
Renewable energy incorporation target for construction sites and factories (North America office) | % | 50 | 100 | |||
Renovation of boilers for energy consumption reduction (number of boilers completed) | boilers | 4 | 105 | |||
Standard coal saved from ACS system retrofitting of boilers 6 and 7 | tonnes | 942 | 110 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2022 | 2023 | 2024 | 2026 | Report Pages |
---|---|---|---|---|---|---|
Intensity of packaging materials | Tonne per HK$ million revenue | 0.1 | 0.07 | 130 | ||
Reduce density of packaging materials compared to 2022 | % | 10 | 94 | |||
Reduce use of packaging materials by Far East (Zhuhai) | % | 30 | 94 | |||
Reduce use of packaging materials by Gamma USA and Canada | % | 30 | 94 | |||
Target reduction in packaging material density compared to 2022 | % | 10% | 113 | |||
Total packaging materials | Tonne 噸 | 743.8 | 643.31 | 130 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Entry-level staff | 376 | 346 | 123 | |
General staff | 4542 | 4107 | 123 | |
High-level staff | 16 | 11 | 123 | |
Job outsourcing | 26 | 57 | 123 | |
Middle-level staff | 30 | 29 | 123 | |
New hires - Female | 315 | 96 | 123 | |
New hires - Male | 1815 | 495 | 123 | |
New hires age 31–40 | 761 | 173 | 123 | |
New hires age 41–50 | 269 | 75 | 123 | |
New hires over age 50 | 43 | 24 | 123 | |
New hires under age 31 | 1057 | 319 | 123 | |
Number of people joining (Female) | persons | 692 | 86 | |
Number of people joining (Male) | persons | 3801 | 86 | |
Number of people joining (Total) | persons | 4493 | 86 | |
Staffing agency workers | 1 | 1 | 123 | |
Total number of new hires | 2130 | 591 | 123 | |
Total workforce | 4964 | 4493 | 123 | |
Workforce age 31–40 | 1653 | 1535 | 123 | |
Workforce age 41–50 | 1069 | 1060 | 123 | |
Workforce over age 50 | 583 | 524 | 123 | |
Workforce under age 31 | 1659 | 1374 | 123 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Employment turnover rate - Canada | 9% | 28% | 123 | |
Employment turnover rate - Chinese Mainland | 35% | 19% | 123 | |
Employment turnover rate - Female | 23% | 19% | 123 | |
Employment turnover rate - Hong Kong | 14% | 28% | 123 | |
Employment turnover rate - Macau | 3% | 0% | 123 | |
Employment turnover rate - Male | 34% | 20% | 123 | |
Employment turnover rate - United Kingdom | 0% | 123 | ||
Employment turnover rate - United States | 69% | 130% | 123 | |
Employment turnover rate age 31–40 | 31% | 17% | 123 | |
Employment turnover rate age 41–50 | 18% | 11% | 123 | |
Employment turnover rate over age 50 | 15% | 22% | 123 | |
Employment turnover rate under age 31 | 48% | 29% | 123 | |
Number of people leaving (Female) | persons | 131 | 86 | |
Number of people leaving (Male) | persons | 774 | 86 | |
Number of people leaving (Total) | persons | 905 | 86 | |
Total employment turnover rate | 32% | 20% | 123 | |
Turnover rate | % | 20 | 86 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2021 | 2024 | Report Pages |
---|---|---|---|---|
Lower the employee injury rate compared to 2021 | % | 9 | 31 | |
Number of work-related deaths | 1 | 124 | ||
Rate of work-related deaths | 0.02 | 124 |
Lost days due to work injury.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Lost day due to work injury | 423 | 604 | 571.5 | 124 | |
Lost day rate due to work injury | 11 | 10.6 | 9.9 | 124 | |
Rate of days lost to work-related injuries (sustainability linked loan KPI) | per 200000 working hours | 10.3 | 66 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|
Number of employees receiving regular performance and career development reviews by category: Entry-level | 346 | 346 | 124 | ||
Number of employees receiving regular performance and career development reviews by category: General staff | 4508 | 4107 | 124 | ||
Number of employees receiving regular performance and career development reviews by category: High-level | 16 | 11 | 124 | ||
Number of employees receiving regular performance and career development reviews by category: Middle-level | 30 | 29 | 124 | ||
Number of employees receiving regular performance and career development reviews by gender: Female | 715 | 692 | 124 | ||
Number of employees receiving regular performance and career development reviews by gender: Male | 4215 | 3801 | 124 | ||
OHS training coverage for all employees | employees | all | 31 | ||
Percentage of trained employees by category: Entry-level | % | 7.63% | 9.82% | 124 | |
Percentage of trained employees by category: General staff | % | 91.44% | 89.26% | 124 | |
Percentage of trained employees by category: High-level | % | 0.32% | 0.25% | 124 | |
Percentage of trained employees by category: Middle-level | % | 0.61% | 0.67% | 124 | |
Percentage of trained employees by gender: Female | % | 14.50% | 17.53% | 124 | |
Percentage of trained employees by gender: Male | % | 85.50% | 82.47% | 124 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Average employee training hours (sustainability linked loan KPI) | hours | 34.6 | 66 | ||
Average training hours by category: Entry-level | hours | 43.51 | 51.83 | 124 | |
Average training hours by category: General staff | hours | 44.6 | 46.87 | 124 | |
Average training hours by category: High-level | hours | 85.38 | 89.27 | 124 | |
Average training hours by category: Middle-level | hours | 35.1 | 44.62 | 124 | |
Average training hours by gender: Female | hours | 44.18 | 52.01 | 124 | |
Average training hours by gender: Male | hours | 44.66 | 46.49 | 124 | |
Average training hours of employees | hours | 44.97 | 45.7 | 124 | |
Increase in average number of employee training hours compared to 2021 | % | 15 | 31 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
China Overseas Supervision use of FSC equivalent certified paper | Certified paper has been used | 93 | ||
Increase use of certified paper by Gamma USA and Canada | % | 30 | 94 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2024 | 2025 | Report Pages |
---|---|---|---|---|
Anticipated hours of volunteer service by employees | hours | 450 | 118 | |
Anticipated number of volunteer services by employees | services | 100 | 118 | |
Target increase in volunteer service and social investment compared to 2020 by 2025 | 15% | 118 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | tonne | 6.6 | 10.64 |
NOₓ Emissions | tonne | 248.09 | 297.27 |
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 | 2022 | 2023 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | Tonne CO2e | 728491.37 | 711739.15 |
GHG Emissions from Natural Gas | Tonne CO2e | 111.18 | 104.5 |
GHG Emissions from Purchased Electricity | Tonne CO2e | 21884.29 | 22133.87 |
Indirect Energy Emissions (Scope 2) | Tonne CO2e | 21884.29 | 22133.87 |
Scope 3 GHG Emissions (Business Travel) | Tonne CO2e | 83.12 | 223.97 |
Scope 3 GHG Emissions (Waste Generated in Operations) | Tonne CO2e | 331.66 | |
Total GHG Emissions | Tonne CO2e | 750458.78 | 735153.71 |
Total GHG Emissions Intensity (By Revenue) | Tonne CO2e per HK$ million revenues | 97.86 | 84.83 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Total Hazardous Waste | Tonne | 19.5 | 0.75 |
Total Hazardous Waste Intensity (By Revenue) | Tonne per HK$ million revenues | 0.002543 | 0.00008655 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Non-Hazardous Waste Disposed | Tonne | 219149.29 | 207559.37 |
Total Non-Hazardous Waste Intensity (By Revenue) | Tonne per HK$ million revenues | 28.58 | 23.95 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2026 |
---|---|---|
CO2 Emissions Reduction Compared to Last Year | tonnes | |
CO2 Emissions Reduction Percentage Compared to Last Year | % | |
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2021 | % | 25 |
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 | 2026 |
---|---|---|
Plastic Waste 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 | 2023 |
---|---|---|
Energy Consumption Intensity (By Area per Year) | kg/m² | 18.5 |
Energy Consumption Intensity (By Area) | kg/m² | 18.5 |
Fossil Fuel Consumption | tonnes | 14700 |
Solar Energy | million kWh | 1.4 |
Total Non-Renewable Fuel Consumption | tonnes | 14700 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Groundwater Withdrawal | Tonne | 1346441.35 | 1394956 |
Third Party Water Consumption | Tonne | 852074.63 | 966133.64 |
Total Wastewater Discharge | Tonne | 57086.6 | 91456.3 |
Total Water Withdrawal | Tonne | 2198515.99 | 2361089.64 |
Wastewater Discharge Intensity | Tonne per HK$ million revenue | 7.44 | 10.55 |
Water Withdrawal Intensity | Tonne per HK$ million revenue | 286.68 | 272.46 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Electricity Usage Reduction Compared to Last Year | kWh | 254000 | 437000 |
Energy Consumption Reduction Compared to Last Year | MWh | 22000 |
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 |
---|---|
Water Consumption Reduction Compared to Last Year | tonnes |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Packaging Material Intensity (By Revenue) | Tonne per HK$ million revenue | 0.1 | 0.07 |
Packaging Materials Consumed | Tonne | 743.8 | 643.31 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Number of Employees Aged 30-50 | persons | 2722 | 2595 |
Number of Employees Aged Above 50 | persons | 583 | 524 |
Number of Employees Aged Below 30 | persons | 1659 | 1374 |
Number of New Employees | persons | 2130 | 591 |
Number of New Employees (Above 50) | persons | 43 | 24 |
Number of New Employees (Aged 30-50) | persons | 1030 | 248 |
Number of New Employees (Aged Below 30) | persons | 1057 | 319 |
Number of New Employees (Female) | persons | 315 | 96 |
Number of New Employees (Male) | persons | 1815 | 495 |
Number of Total Employees | persons | 4964 | 4493 |
Percentage of Employees Aged 30-50 | % | 54.86 | 57.77 |
Percentage of Employees Aged Above 50 | % | 11.75 | 11.66 |
Percentage of Employees Aged Below 30 | % | 33.44 | 30.58 |
Percentage of New Employees | % | 42.93 | 13.15 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 31 | 17 |
Turnover Rate of Employees Aged Above 50 | % | 15 | 22 |
Turnover Rate of Employees Aged Below 30 | % | 48 | 29 |
Turnover Rate of Employees in Canada | % | 9 | 28 |
Turnover Rate of Employees in Hong Kong | % | 14 | 28 |
Turnover Rate of Employees in Macau | % | 3 | |
Turnover Rate of Employees in Mainland China | % | 35 | 19 |
Turnover Rate of Employees in United States | % | 69 | 130 |
Turnover Rate of Female Employees | % | 23 | 19 |
Turnover Rate of Male Employees | % | 34 | 20 |
Turnover Rate of Total Employees | % | 32 | 20 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2021 |
---|---|---|
Number of Work-related Fatalities | 1 | |
Work-related Fatalities Rate | 0.02 |
Lost days due to work injury.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 423 | 604 | 571.5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Percentage of Trained Executive Employees | % | 7.63 | 9.82 |
Percentage of Trained Female Employees | % | 14.5 | 17.53 |
Percentage of Trained General Employees | % | 91.44 | 89.26 |
Percentage of Trained Male Employees | % | 85.5 | 82.47 |
Percentage of Trained Middle Management | % | 0.61 | 0.67 |
Percentage of Trained Senior Management | % | 0.32 | 0.25 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 44.18 | 52.01 | |
Average Training Hours (General Staff) | hours | 44.6 | 46.87 | |
Average Training Hours (Male) | hours | 44.66 | 46.49 | |
Average Training Hours (Middle Management) | hours | 35.1 | 44.62 | |
Average Training Hours (Senior Management) | hours | 85.38 | 89.27 | |
Average Training Hours per Employee | hours | 44.97 | 45.7 | 52.9 |
Total Training Hours | hours | 212705 |
Number of suppliers by geographical region.
Standard Indicator | Unit |
---|---|
Number of Suppliers in Mainland China | % |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Employees Participating in Volunteer Activities | 73 | ||
Number of Volunteer Activities Sessions | services | 43 | 100 |
Total Volunteer Service Hours | hours | 427.5 | 450 |