2024 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Annual reduction of nitrogen oxides emissions from replacement of gas boilers with municipal steam | tonnes | 9.5 | 26 | ||
| Exhaust gas emission intensity per unit of the original value of public engineering facilities and machinery equipment | tonnes/million RMB | 0.01 | 0.002 | 0.001 | 28 |
| Exhaust gas emission intensity per unit of the original value of public engineering facilities and machinery equipment (tonnes/million RMB) | tonnes/million RMB | 0.01 | 0.002 | 0.001 | 37 |
| Total NOx emissions | tonnes | 1.18 | 0.25 | 0.25 | 28, 37 |
| Total PM emissions | tonnes | 0.07 | 0.08 | 0.02 | 28, 37 |
| Total SOx emissions | tonnes | 0.02 | 28 | ||
| Total VOCs emissions | tonnes | 0.12 | 0.18 | 0.12 | 28, 37 |
| Total ammonia emissions | 0.03 | 0.01 | 37 | ||
| Total exhaust gas emissions | tonnes | 1.18 | 0.4 | 0.39 | 28 |
| Total exhaust gas emissions (tonnes) | tonnes | 1.4 | 0.44 | 0.39 | 37 |
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 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Direct greenhouse gas (Scope 1) | tonne of CO2 equivalent | 3605.45 | 3969.51 | 4022.89 | 26, 37 |
| Direct greenhouse gas emission intensity per unit of original value of public engineering facilities and machinery equipment (Scope 1, tonne of CO2 equivalent/million RMB) | tonne of CO2 equivalent/million RMB | 238.84 | 15.57 | 13.55 | 37 |
| Emissions intensity of Alphamab Oncology (greenhouse gas and exhaust gas emissions) | % lower than in 2023 | -6.94 | 25 | ||
| Greenhouse gas emission intensity per unit of original value of public engineering facilities and machinery equipment | tonne of CO2 equivalent / million RMB | 75.81 | 50.05 | 46.57 | 26 |
| Greenhouse gas emission intensity per unit of original value of public engineering facilities and machinery equipment (tonne of CO2 equivalent/million RMB) | tonne of CO2 equivalent/million RMB | 75.81 | 50.05 | 46.57 | 37 |
| Indirect greenhouse gas (Scope 2) | tonne of CO2 equivalent | 7857.37 | 8791.3 | 9798.6 | 26, 37 |
| Indirect greenhouse gas emission intensity per unit of original value of public engineering facilities and machinery equipment (Scope 2, tonne of CO2 equivalent/million RMB) | tonne of CO2 equivalent/million RMB | 51.96 | 34.48 | 33.01 | 37 |
| Total greenhouse gas emissions (Scope 1 & Scope 2) | tonne of CO2 equivalent | 11462.82 | 12760.81 | 13821.49 | 26 |
| Total greenhouse gas emissions (Scope 1 & Scope 2) (tonne of CO2 equivalent) | tonne of CO2 equivalent | 11462.82 | 12360.8 | 13821.49 | 37 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Emissions intensity of Alphamab Oncology (hazardous and non-hazardous waste) | % lower than in 2023 | -2.32 | 25 | ||
| Hazardous waste | tonnes | 352.32 | 270.45 | 541.53 | 28, 37 |
| Hazardous waste discharge intensity per unit of the original value of public engineering facilities and machinery equipment (tonnes/million RMB) | tonnes/million RMB | 2.33 | 1.06 | 1.83 | 37 |
| Total waste discharge | tonnes | 360.32 | 273.45 | 544.53 | 28 |
| Total waste discharge (tonnes) | tonnes | 360.32 | 273.45 | 544.53 | 37 |
| Total wastewater discharged | tonnes | 20034 | 28 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste | tonnes | 8 | 3 | 3 | 28, 37 |
| Non-hazardous waste discharge intensity per unit of the original value of public engineering facilities and machinery equipment (tonnes/million RMB) | tonnes/million RMB | 0.05 | 0.01 | 0.01 | 37 |
| Waste discharge intensity per unit of the original value of public engineering facilities and machinery equipment | tonnes/million RMB | 2.38 | 1.07 | 1.84 | 28 |
| Waste discharge intensity per unit of the original value of public engineering facilities and machinery equipment (tonnes/million RMB) | tonnes/million RMB | 2.38 | 1.07 | 1.84 | 37 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2027 | Report Pages |
|---|---|---|---|
| Objective: Reduce the intensity of emissions (greenhouse gas, exhaust gas, hazardous and non-hazardous waste) | % lower than in 2021 | 5 | 25 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Direct energy consumption | 1000kWh | 17841.02 | 19648.45 | 18173.96 | 27, 37 |
| Electricity ('000kWh) | '000kWh | 13777.6 | 15415.21 | 15679.36 | 37 |
| Electricity consumption | 1000kWh | 13777.6 | 15415.21 | 16599.96 | 27 |
| Energy consumption intensity of Alphamab Oncology | % higher than in 2023 | 14 | 25 | ||
| Energy consumption intensity per unit of original value of public engineering facilities and machinery equipment | 1000kWh/million RMB | 209.11 | 137.53 | 117.73 | 27 |
| Energy consumption intensity per unit of original value of public engineering facilities and machinery equipment (000kWh/million RMB) | 000kWh/million RMB | 209.11 | 137.53 | 117.23 | 37 |
| Gasoline (tonnes) | tonnes | 3.46 | 2.48 | 2.34 | 37 |
| Gasoline consumption | tonnes | 3.46 | 2.48 | 2.34 | 27 |
| Indirect energy consumption | 1000kWh | 13777.6 | 15415.21 | 16470.36 | 27, 37 |
| Natural gas (GJ) | GJ | 1643923 | 1811972 | 1385456 | 37 |
| Natural gas consumption | m³ | 1643923 | 1811927 | 18365610 | 27 |
| Purchased steam consumption | GJ | 386.63 | 27 | ||
| Total energy consumption | 1000kWh | 31618.62 | 35063.66 | 34941.31 | 27 |
| Total energy consumption ('000kWh) | '000kWh | 31181.46 | 35063.55 | 34941.31 | 37 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Recycled water | 9741 | 10213.85 | 26143.85 | 37 | |
| Recycled water consumption | m³ | 9741 | 10231.85 | 26485.85 | 27 |
| Recycling rate of water resources | % | 5.08 | 5.68 | 12.15 | 27 |
| Recycling rate of water resources (%) | % | 5.08 | 5.48 | 12.15 | 37 |
| Tap water | 182125 | 169788 | 188976 | 37 | |
| Tap water consumption | m³ | 182125 | 169798 | 188976 | 27 |
| Total water consumption | m³ | 191846 | 179999.85 | 215199.85 | 27 |
| Total water consumption (m³) | m³ | 191846 | 179995.95 | 215119.85 | 37 |
| Wastewater discharge intensity per unit of the original value of public engineering facilities and machinery equipment | tonnes/million RMB | 4.75 | 28 | ||
| Water consumption intensity of Alphamab Oncology | % higher than in 2023 | 2.64 | 25 | ||
| Water consumption intensity per unit of original value of public engineering facilities and machinery equipment | m³/million RMB | 1268.69 | 706.03 | 724.81 | 27 |
| Water consumption intensity per unit of original value of public engineering facilities and machinery equipment (m³/million RMB) | m³/million RMB | 1268.89 | 706.03 | 724.81 | 37 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2027 | Report Pages |
|---|---|---|---|---|
| Electricity saved by green warehouse management by energy-saving intervention in room temperature regulation | kWh | 100000 | 26 | |
| Electricity saved from replacement of gas boilers with municipal steam | kWh | 381000 | 26 | |
| Electricity saved from upgrading and central air conditioning cooling module | kWh | 380000 | 26 | |
| Objective: Reduce energy consumption intensity | % lower than in 2021 | 5 | 25 |
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 | 2027 | Report Pages |
|---|---|---|---|
| Objective: Reduce water consumption intensity | % lower than in 2021 | 5 | 25 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Inner Packaging Materials | tonnes | 12.27 | 5.57 | 9.23 | 27, 37 |
| Outer Packaging Materials | tonnes | 9.63 | 9.65 | 7.42 | 27, 37 |
| Packaging materials per unit of production | g/injection | 57.31 | 29.61 | 24.98 | 27 |
| Packaging materials per unit of production (g/injection) | g/injection | 57.31 | 29.61 | 24.98 | 37 |
| Total Packaging Materials | tonnes | 21.9 | 15.22 | 16.65 | 27 |
| Total Packaging Materials (tonnes) | tonnes | 21.9 | 15.22 | 16.55 | 37 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Headcount | 472 | 435 | 420 | 37 | |
| Headcount, 30-50 | 296 | 276 | 301 | 37 | |
| Headcount, Above 50 | 8 | 9 | 10 | 37 | |
| Headcount, Beijing | 41 | 35 | 26 | 37 | |
| Headcount, Employee | 472 | 435 | 420 | 37 | |
| Headcount, Female | 274 | 250 | 231 | 37 | |
| Headcount, General staff | 374 | 338 | 326 | 37 | |
| Headcount, Male | 198 | 185 | 189 | 37 | |
| Headcount, Middle management | 65 | 66 | 63 | 37 | |
| Headcount, Other regions | 52 | 36 | 40 | 37 | |
| Headcount, Senior management | 8 | 9 | 10 | 37 | |
| Headcount, Shanghai | 43 | 36 | 26 | 37 | |
| Headcount, Suzhou | 338 | 328 | 328 | 37 | |
| Headcount, Under 30 | 168 | 150 | 109 | 37 | |
| Number of employees above 50 | 38 | 11 | 10 | 38 | |
| Number of employees aged 30-50 | 20 | 17 | 25 | 38 | |
| Number of employees aged 30–50 | persons | 301 | 30 | ||
| Number of employees aged ≤30 | persons | 109 | 30 | ||
| Number of employees aged ≥50 | persons | 10 | 30 | ||
| Number of employees in Beijing | persons | 44 | 34 | 15 | 30, 38 |
| Number of employees in Central China | 54 | 54 | 55 | 38 | |
| Number of employees in Eastern China | 871 | 946 | 1040 | 38 | |
| Number of employees in North-eastern China | 12 | 10 | 10 | 38 | |
| Number of employees in North-western China | 28 | 25 | 25 | 38 | |
| Number of employees in Northern China | 130 | 130 | 135 | 38 | |
| Number of employees in Shanghai | persons | 34 | 77 | 328 | 30, 38 |
| Number of employees in South-western China | 26 | 25 | 25 | 38 | |
| Number of employees in Southern China | 55 | 55 | 59 | 38 | |
| Number of employees in Suzhou | persons | 25 | 17 | 28 | 30, 38 |
| Number of employees in other regions | persons | 21 | 41 | 31 | 30, 38 |
| Number of employees outside China | 48 | 80 | 95 | 38 | |
| Number of employees under 30 | 38 | 39 | 29 | 38 | |
| Number of employees, female | persons | 231 | 30 | ||
| Number of employees, male | persons | 189 | 30 | ||
| Number of general employees | persons | 326 | 30 | ||
| Number of middle management employees | persons | 33 | 30 | ||
| Number of senior management employees | persons | 6 | 30 | ||
| Proportion of female employees in senior management | % | 35 | 30 | ||
| Proportion of female employees in total workforce | % | 55 | 30 | ||
| Proportion of general employees, female | % | 27 | 30 | ||
| Proportion of general employees, male | % | 24 | 30 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate (%) | % | 27 | 25 | 28 | 37 |
| Employee turnover rate (%), Female | % | 22 | 26 | 27 | 37 |
| Employee turnover rate (%), Male | % | 34 | 23 | 24 | 37 |
| Employee turnover rate, Beijing | % | 15 | 30 | ||
| Employee turnover rate, Shanghai | % | 18 | 30 | ||
| Employee turnover rate, Suzhou | % | 28 | 30 | ||
| Employee turnover rate, age 30–50 | % | 25 | 30 | ||
| Employee turnover rate, age ≤30 | % | 29 | 30 | ||
| Employee turnover rate, age ≥50 | % | 10 | 30 | ||
| Employee turnover rate, other regions | % | 14 | 30 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Percentage of trained employees (%) | % | 100 | 100 | 100 | 38 |
| Percentage of trained female employees (%) | % | 100 | 100 | 100 | 38 |
| Percentage of trained general staff (%) | % | 100 | 100 | 100 | 38 |
| Percentage of trained male employees (%) | % | 100 | 100 | 100 | 38 |
| Percentage of trained middle management (%) | % | 100 | 100 | 100 | 38 |
| Percentage of trained senior management (%) | % | 100 | 100 | 100 | 38 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours completed per employee by employee category (general staff) | hours | 11 | 28 | 40 | 38 |
| Average training hours completed per employee by employee category (middle management) | hours | 11 | 25 | 33 | 38 |
| Average training hours completed per employee by employee category (senior management) | hours | 11 | 23 | 21 | 38 |
| Average training hours completed per employee by gender (female) | hours | 11 | 28 | 40 | 38 |
| Average training hours completed per employee by gender (male) | hours | 11 | 26 | 35 | 38 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total suppliers | 1224 | 1325 | 1444 | 38 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of complaints about products and services | 4 | 1 | 38 | ||
| Overall Response Rate (ORR) of JSKN003 in HER2-positive and HER2-low expression patients | % | 57.9 | 5 | ||
| Overall Response Rate (ORR) of JSKN003 in patients previously treated with anti-HER2 ADCs | % | 57.1 | 5 | ||
| Overall Response Rate (ORR) of JSKN003 in patients previously treated with anti-HER2 ADCs also pretreated | % | 57.1 | 5 | ||
| Overall Response Rate (ORR) of JSKN003 in patients previously treated with anti-HER2 ADCs also pretreated population | % | 57.1 | 5 | ||
| Overall Response Rate (ORR) of JSKN003 in patients previously treated with anti-HER2 therapies | % | 57.1 | 5 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Anti-corruption training provided to the Company's directors | 6 | 5 | 6 | 38 | |
| Anti-corruption training provided to the Company's employees | 2793 | 1740 | 1260 | 38 | |
| Number of directors enrolled in anti-corruption training | 6 | 5 | 6 | 38 | |
| Number of employees enrolled in anti-corruption training | 399 | 435 | 420 | 38 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Total investment in public charity by category (Education) | RMB10000 | 1 | 1 | 38 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Cumulative investment in public charity (RMB10000) | RMB10000 | 1 | 1 | 1 | 38 |
| Cumulative time of investment in public charity (hours) | hours | 20 | 8 | 38 | |
| Economic benefit from green warehouse management by energy-saving intervention in room temperature regulation | RMB | 80000 | 26 | ||
| Economic benefit from replacement of gas boilers with municipal steam | RMB | 980000 | 26 | ||
| Economic benefit from upgrading and central air conditioning cooling module | RMB | 310000 | 26 | ||
| Total duration of public volunteer service by category (Education) | hours | 20 | 8 | 38 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 0.07 | 0.02 | |
| NOâ‚“ Emissions | tonnes | 1.18 | 0.25 | 0.25 |
| SOâ‚“ Emissions | tonnes | 0.02 |
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 | 2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne of CO2 equivalent | 3605.45 | 3969.51 | 4022.89 |
| Indirect Energy Emissions (Scope 2) | tonne of CO2 equivalent | 7857.37 | 8791.3 | 9798.6 |
| Scope 1 GHG Emissions Intensity (By Revenue) | tonne of CO2 equivalent/million RMB | 238.84 | 15.57 | 13.55 |
| Scope 2 GHG Emissions Intensity (By Revenue) | tonne of CO2 equivalent/million RMB | 51.96 | 34.48 | 33.01 |
| Total GHG Emissions | tonne of CO2 equivalent | 11462.82 | 12760.81 | 13821.49 |
| Total GHG Emissions Intensity (By Revenue) | tonne of CO2 equivalent/million RMB | 75.81 | 50.05 | 46.57 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Hazardous Waste | tonnes | 352.32 | 270.45 | 541.53 |
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 | 2024 |
|---|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/million RMB | 2.38 | 1.07 | 1.84 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2027 |
|---|---|---|
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2021 | % | 5 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Revenue) | 1000kWh/million RMB | 209.11 | 137.53 | 117.73 |
| Gasoline Consumption | tonnes | 3.46 | 2.48 | 2.34 |
| Natural Gas Consumption | GJ | 1643923 | 1811972 | 1385456 |
| Purchased Electricity | 1000kWh | 13777.6 | 15415.21 | 16599.96 |
| Purchased Steam | GJ | 386.63 | ||
| Total Direct Energy Consumption | 1000kWh | 17841.02 | 19648.45 | 18173.96 |
| Total Energy Consumption | 1000kWh | 31618.62 | 35063.66 | 34941.31 |
| Total Indirect Energy Consumption | 1000kWh | 13777.6 | 15415.21 | 16470.36 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Municipal Water Consumption | m³ | 182125 | 169798 | 188976 |
| Recycled Water Percentage | % | 5.08 | 5.68 | 12.15 |
| Recycled Water Usage | m³ | 9741 | 10231.85 | 26485.85 |
| Total Water Withdrawal | m³ | 191846 | 179999.85 | 215199.85 |
| Wastewater Discharge Intensity | tonnes/million RMB | 4.75 | ||
| Water Consumption | m³ | 191846 | 179999.85 | 215199.85 |
| Water Consumption Intensity (By Revenue) | m³/million RMB | 1268.89 | 706.03 | 724.81 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2027 |
|---|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 861000 | |
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 5 |
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 | 2027 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 5 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Packaging Material Intensity (By Unit Product) | g/injection | 57.31 | 29.61 | 24.98 |
| Packaging Materials Consumed | tonnes | 21.9 | 15.22 | 16.65 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | persons | 296 | 276 | 301 |
| Number of Employees Aged Above 50 | persons | 8 | 9 | 10 |
| Number of Employees Aged Below 30 | persons | 168 | 150 | 109 |
| Number of Female Employees | persons | 274 | 250 | 231 |
| Number of General Employees | persons | 374 | 338 | 326 |
| Number of Male Employees | persons | 198 | 185 | 189 |
| Number of Middle Management Employees | persons | 65 | 66 | 33 |
| Number of Senior Management Employees | persons | 8 | 9 | 6 |
| Number of Total Employees | persons | 472 | 435 | 420 |
| Percentage of Female Employees | % | 55 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 25 | ||
| Turnover Rate of Employees Aged Above 50 | % | 10 | ||
| Turnover Rate of Employees Aged Below 30 | % | 29 | ||
| Turnover Rate of Female Employees | % | 22 | 26 | 27 |
| Turnover Rate of Male Employees | % | 34 | 23 | 24 |
| Turnover Rate of Total Employees | % | 27 | 25 | 28 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 | 100 |
| Percentage of Trained Female Employees | % | 100 | 100 | 100 |
| Percentage of Trained General Employees | % | 100 | 100 | 100 |
| Percentage of Trained Male Employees | % | 100 | 100 | 100 |
| Percentage of Trained Middle Management | % | 100 | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | 11 | 28 | 40 |
| Average Training Hours (General Staff) | hours | 11 | 28 | 40 |
| Average Training Hours (Male) | hours | 11 | 26 | 35 |
| Average Training Hours (Middle Management) | hours | 11 | 25 | 33 |
| Average Training Hours (Senior Management) | hours | 11 | 23 | 21 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Total Suppliers | 1224 | 1325 | 1444 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Products and Service Related Complaints | 4 | 1 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Attendance for Anti-corruption Training | person-times | 2799 | 1745 | 1266 |
| Number of Directors and Management Attendance for Anti-corruption Training | person-times | 6 | 5 | 6 |
| Number of General Employees Attendance for Anti-corruption Training | person-times | 2793 | 1740 | 1260 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons | 405 | 440 | 426 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Social Investment | RMB10000 | 1 | 1 | 1 |
| Total Volunteer Service Hours | hours | 20 | 8 | |
| Total Volunteer Teaching Hours | hours | 20 | 8 |