2024 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Direct greenhouse gas emissions (Scope 1) | tCO2e | 319.4 | 796.08 | 47 |
| Greenhouse gas emission intensity | tCO2e/operating income of RMB'000 | 0.14 | 0.18 | 47 |
| Indirect greenhouse gas emissions (Scope 2) | tCO2e | 33249.41 | 36406.66 | 47 |
| Total greenhouse gas emissions | tCO2e | 33568.81 | 37202.74 | 47 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Hazardous waste generation intensity | kg/operating income of RMB0'000 | 1.67 | 1.95 | 38 |
| Medical waste | tonne | 200.43 | 185.53 | 38 |
| Sewage station sludge | tonne | 28.31 | 59.9 | 38 |
| Total hazardous waste | tonne | 395.84 | 393.18 | 38 |
| Waste activated carbon | tonne | 13.25 | 7.96 | 38 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Laboratory organic waste liquid | tonne | 153.85 | 125.55 | 38 |
| Non-hazardous waste generation intensity | kg/operating income of RMB0'000 | 1.62 | 2.09 | 38 |
| Total non-hazardous waste | tonne | 386 | 422.18 | 38 |
| Waste bin | tonne | N/A | 7.94 | 38 |
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 | 2024 | Report Pages |
|---|---|---|---|---|
| Comprehensive energy consumption | '000 kWh | 67939.85 | 77604.6 | 42 |
| Comprehensive energy consumption intensity | kWh/operating income of RMB'000 | 285.88 | 384.5 | 42 |
| Electricity consumption | kWh | 32417990 | 41313763 | 42 |
| Natural gas consumption | m³ | 119308 | 333744 | 42 |
| Petrol consumption | Litre | 26475 | 29651 | 42 |
| Steam consumption | million KJ | 122465.41 | 116777 | 42 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Water consumption | m³ | 210020 | 374285 | 42 |
| Water consumption intensity | m³/operating income of RMB'000 | 0.88 | 1.85 | 42 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of employees (total) | 2652 | 26 | ||
| Number of employees aged 30-50 years old | 915 | 26 | ||
| Number of employees in Beijing | 665 | 26 | ||
| Number of employees in Guangxi | 136 | 26 | ||
| Number of employees in Jiangsu | 1541 | 26 | ||
| Number of employees in Yunnan | 69 | 26 | ||
| Number of employees in other regions in China | 20 | 26 | ||
| Number of employees over 50 years old | 156 | 26 | ||
| Number of employees overseas | 221 | 26 | ||
| Number of employees under 30 years old | 1581 | 26 | ||
| Number of ethnic minority employees | 173 | 26 | ||
| Number of female employees | 1747 | 26 | ||
| Number of female employees in senior management | 5 | 26 | ||
| Number of male employees | 905 | 26 | ||
| Number of new employees | 627 | 26 | ||
| Number of new female employees | 409 | 26 | ||
| Number of part-time employees | 11 | 26 | ||
| Percentage of employees aged 30-50 years old | 37.3% | 34.5% | 26 | |
| Percentage of employees in Beijing | 26.7% | 25.1% | 26 | |
| Percentage of employees in Guangxi | 4.9% | 5.1% | 26 | |
| Percentage of employees in Jiangsu | 56.1% | 58.1% | 26 | |
| Percentage of employees in Yunnan | 2.8% | 2.6% | 26 | |
| Percentage of employees in other regions in China | 0.8% | 0.7% | 26 | |
| Percentage of employees over 50 years old | 5.9% | 5.9% | 26 | |
| Percentage of employees overseas | 8.7% | 8.3% | 26 | |
| Percentage of employees under 30 years old | 56.8% | 59.6% | 26 | |
| Percentage of female employees | 65.8% | 65.9% | 26 | |
| Percentage of male employees | 34.2% | 34.1% | 26 | |
| Percentage of new female employees | 65.2% | 26 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate by age: 30-50 years old | % | 17 | 15.4 | 27 |
| Employee turnover rate by age: Aged 30 and below | % | 43.8 | 30.9 | 27 |
| Employee turnover rate by age: Over 50 years old | % | 21.1 | 24.4 | 27 |
| Employee turnover rate by gender: Female | % | 33 | 24.2 | 27 |
| Employee turnover rate by gender: Male | % | 33.7 | 27 | 27 |
| Employee turnover rate by region: Beijing | % | 27 | 22.6 | 27 |
| Employee turnover rate by region: Guangxi | % | 37.9 | 17.6 | 27 |
| Employee turnover rate by region: Jiangsu | % | 38.6 | 27.8 | 27 |
| Employee turnover rate by region: Other regions in China | % | 35 | 25 | 27 |
| Employee turnover rate by region: Overseas | % | 20.5 | 24 | 27 |
| Employee turnover rate by region: Yunnan | % | 5.7 | 10.1 | 27 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of trainings on occupational health and safety | 222 | 30 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of trainings on ICHS6 for non-clinical safety assessment of biotechnological drugs | 13 | 30 | ||
| Number of trainings on bioanalysis methods | 5560 | 30 | ||
| Number of trainings on introduction to non-clinical assessment of new drugs and case analysis | 18 | 30 | ||
| Number of trainings on quality control of biological analysis and testing | 46 | 30 | ||
| Percentage of entry level employees trained | % | 86.1% | 78.3% | 30 |
| Percentage of female employees trained | % | 86.8% | 79.1% | 30 |
| Percentage of male employees trained | % | 74.2% | 69.7% | 30 |
| Percentage of middle management trained | % | 24.0% | 37.8% | 30 |
| Percentage of senior management trained | % | 28.6% | 85.7% | 30 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average training hours for entry level employees | hours | 26.42 | 56.74 | 30 |
| Average training hours for female employees | hours | 22.33 | 57.15 | 30 |
| Average training hours for male employees | hours | 36.12 | 68.21 | 30 |
| Average training hours for middle management | hours | 31.38 | 215.27 | 30 |
| Average training hours for senior management | hours | 53.33 | 41.92 | 30 |
| Total number of trainings conducted | 122024 | 30 |
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 | 2023 | 2024 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 319.4 | 796.08 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 33249.41 | 36406.66 |
| Total GHG Emissions | tCO2e | 33568.81 | 37202.74 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/operating income of RMB'000 | 0.14 | 0.18 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Hazardous Waste | tonne | 395.84 | 393.18 |
| Total Hazardous Waste Intensity (By Revenue) | kg/operating income of RMB0'000 | 1.67 | 1.95 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | tonne | 386 | 422.18 |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg/operating income of RMB0'000 | 1.62 | 2.09 |
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 | 2024 |
|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | kWh/operating income of RMB'000 | 285.88 | 384.5 |
| Gasoline Consumption | Litre | 26475 | 29651 |
| Natural Gas Consumption | m³ | 119308 | 333744 |
| Purchased Electricity | kWh | 32417990 | 41313763 |
| Purchased Steam | million KJ | 122465.41 | 116777 |
| Total Energy Consumption | kWh | 67939850 | 77604600 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Water Consumption | m³ | 210020 | 374285 |
| Water Consumption Intensity (By Revenue) | m³/operating income of RMB'000 | 0.88 | 1.85 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Employees Aged 30-50 | 915 | ||
| Number of Employees Aged Above 50 | 156 | ||
| Number of Employees Aged Below 30 | 1581 | ||
| Number of Employees in Beijing | 665 | ||
| Number of Employees in Guangxi | 136 | ||
| Number of Employees in Jiangsu | 1541 | ||
| Number of Employees in Overseas | 221 | ||
| Number of Employees in Yunnan | 69 | ||
| Number of Employees in other regions in China | 20 | ||
| Number of Female Employees | 1747 | ||
| Number of Male Employees | 905 | ||
| Number of New Employees | 627 | ||
| Number of New Employees (Female) | 409 | ||
| Number of Part-time Employees | 11 | ||
| Number of Total Employees | 2652 | ||
| Percentage of Employees Aged 30-50 | % | 37.3 | 34.5 |
| Percentage of Employees Aged Above 50 | % | 5.9 | 5.9 |
| Percentage of Employees Aged Below 30 | % | 56.8 | 59.6 |
| Percentage of Employees in Beijing | % | 26.7 | 25.1 |
| Percentage of Employees in Guangxi | % | 4.9 | 5.1 |
| Percentage of Employees in Jiangsu | % | 56.1 | 58.1 |
| Percentage of Employees in Overseas | % | 8.7 | 8.3 |
| Percentage of Employees in Yunnan | % | 2.8 | 2.6 |
| Percentage of Employees in other regions in China | % | 0.8 | 0.7 |
| Percentage of Female Employees | % | 65.8 | 65.9 |
| Percentage of Male Employees | % | 34.2 | 34.1 |
| Percentage of New Employees (Female) | % | 65.2 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 17 | 15.4 |
| Turnover Rate of Employees Aged Above 50 | % | 21.1 | 24.4 |
| Turnover Rate of Employees Aged Below 30 | % | 43.8 | 30.9 |
| Turnover Rate of Employees in Overseas | % | 20.5 | 24 |
| Turnover Rate of Female Employees | % | 33 | 24.2 |
| Turnover Rate of Male Employees | % | 33.7 | 27 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Safety knowledge lectures | 222 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Percentage of Employees Trained | % | 86.1 | 78.3 |
| Percentage of Trained Female Employees | % | 86.8 | 79.1 |
| Percentage of Trained Male Employees | % | 74.2 | 69.7 |
| Percentage of Trained Middle Management | % | 24 | 37.8 |
| Percentage of Trained Senior Management | % | 28.6 | 85.7 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 22.33 | 57.15 |
| Average Training Hours (Male) | hours | 36.12 | 68.21 |
| Average Training Hours (Middle Management) | hours | 31.38 | 215.27 |
| Average Training Hours (Senior Management) | hours | 53.33 | 41.92 |