2023 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 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Direct emissions from energy use (Scope 1) | tCO2e | 1404.35 | 1466.05 | 59 |
| Greenhouse gas emission intensity | tCO2e per RMB million of revenue | 19.66 | 21.68 | 59 |
| Indirect emissions from energy use (Scope 2) | tCO2e | 45376.87 | 45285.23 | 59 |
| Total greenhouse gas emissions | tCO2e | 46779.49 | 46731.28 | 59 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Non-hazardous waste intensity reduction per RMB10000 of output (compared to 2020 base year) | % | 65% | 52 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Forestry emission reduction | tCO2e | 1.73 | 1.47 | 59 |
| Scope 1 and Scope 2 greenhouse gas emissions intensity reduction per RMB10000 of output (compared to 2020 base year) | % | 47% | 52 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Solid waste reduction target: disposal of spent reagents (CRO segment) | kg | 20 | 52 |
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 | Report Pages |
|---|---|---|---|---|
| Consumption of purchased electricity | MWh | 47659.52 | 45442.4 | 59 |
| Consumption of purchased heat | MWh | 45951.17 | 48912.73 | 59 |
| Diesel consumption | liter | 496110 | 497017 | 59 |
| Direct energy consumption intensity | MWh per RMB million of revenue | 2.29 | 2.5 | 59 |
| Energy consumption intensity | MWh per RMB million of revenue | 24.91 | 46.27 | 59 |
| Indirect energy consumption intensity | MWh per RMB million of revenue | 22.62 | 43.77 | 59 |
| Petrol consumption | liter | 28128 | 31937 | 59 |
| Renewable energy | MWh | 62.99 | 101.86 | 59 |
| Total direct energy consumption | MWh | 5453.78 | 5392.37 | 59 |
| Total energy consumption | MWh | 59274.73 | 99747.5 | 59 |
| Total indirect energy consumption | MWh | 53820.95 | 94355.13 | 59 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Water consumption per RMB10000 of output reduction (compared to 2020 base year) | % | 59% | 52 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Electricity consumption reduction target (CRO segment) | MWh | 115 | 52 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Number of employees by age - Aged 31-40 | 560 | 531 | 76 | |
| Number of employees by age - Aged 41-50 | 246 | 242 | 76 | |
| Number of employees by age - Aged over 50 | 167 | 155 | 76 | |
| Number of employees by age - Aged under 30 | 1628 | 1149 | 76 | |
| Number of employees by gender - Female | 1171 | 954 | 76 | |
| Number of employees by gender - Male | 1430 | 1123 | 76 | |
| Number of employees by region - Chengdu | 237 | 106 | 76 | |
| Number of employees by region - Hong Kong | 22 | 19 | 76 | |
| Number of employees by region - Jiaxing | 255 | 143 | 76 | |
| Number of employees by region - Ningbo | 96 | 100 | 76 | |
| Number of employees by region - Overseas | 10 | 9 | 76 | |
| Number of employees by region - Shanghai | 1209 | 1036 | 76 | |
| Number of employees by region - Suzhou | 239 | 158 | 76 | |
| Number of employees by region - Taizhou | 533 | 506 | 76 | |
| Total number of employees | 2601 | 2077 | 76 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate by age - Aged 31-40 | 20% | 32% | 76 | |
| Employee turnover rate by age - Aged 41-50 | 17% | 25% | 76 | |
| Employee turnover rate by age - Aged over 50 | 11% | 19% | 76 | |
| Employee turnover rate by age - Aged under 30 | 23% | 49% | 76 | |
| Employee turnover rate by gender - Female | 22% | 38% | 76 | |
| Employee turnover rate by gender - Male | 21% | 40% | 76 | |
| Employee turnover rate by region - Chengdu | 28% | 137% | 76 | |
| Employee turnover rate by region - Hong Kong | 0% | 16% | 76 | |
| Employee turnover rate by region - Jiaxing | 14% | 64% | 76 | |
| Employee turnover rate by region - Ningbo | 3% | 7% | 76 | |
| Employee turnover rate by region - Overseas | 0% | 11% | 76 | |
| Employee turnover rate by region - Shanghai | 20% | 29% | 76 | |
| Employee turnover rate by region - Suzhou | 30% | 66% | 76 | |
| Employee turnover rate by region - Taizhou | 23% | 32% | 76 | |
| Total employee turnover rate | 21% | 39% | 76 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Percentage of employees trained by employee category: Management staff | / | 4% | 92 |
| Percentage of employees trained by employee category: Other staff | / | 70% | 92 |
| Percentage of employees trained by employee category: R&D staff | / | 26% | 92 |
| Percentage of employees trained by gender: Female | / | 33% | 92 |
| Percentage of employees trained by gender: Male | / | 67% | 92 |
| Total number of employees trained | persons | 869 | 92 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Average training hours by employee category: Management staff | hours | 6 | 92 |
| Average training hours by employee category: Other staff | hours | 39 | 92 |
| Average training hours by employee category: R&D staff | hours | 6 | 92 |
| Average training hours by gender: Female | hours | 11 | 92 |
| Average training hours by gender: Male | hours | 15 | 92 |
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) | tCO2e | 1404.35 | 1466.05 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 45376.87 | 45285.23 |
| Total GHG Emissions | tCO2e | 46779.49 | 46731.28 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e per RMB million of revenue | 19.66 | 21.68 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | % reduction vs 2020 | 65 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 47 |
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 | 2024 |
|---|---|---|
| Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | kg | 20 |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | liter | 496110 | 497017 |
| Direct Energy Intensity (By Revenue) | MWh per RMB million of revenue | 2.29 | 2.5 |
| Energy Consumption Intensity (By Revenue) | MWh per RMB million of revenue | 24.91 | 46.27 |
| Gasoline Consumption | liter | 28128 | 31937 |
| Indirect Energy Intensity (By Revenue) | MWh per RMB million of revenue | 22.62 | 43.77 |
| Purchased Electricity | MWh | 47659.52 | 45442.4 |
| Purchased Heating | MWh | 45951.17 | 48912.73 |
| Renewable Energy Consumption | MWh | 62.99 | 101.86 |
| Total Direct Energy Consumption | MWh | 5453.78 | 5392.37 |
| Total Energy Consumption | MWh | 59274.73 | 99747.5 |
| Total Indirect Energy Consumption | MWh | 53820.95 | 94355.13 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Water Consumption Intensity (By Revenue) | % reduction vs 2020 | 59 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | MWh | 115 |
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 | 806 | 773 |
| Number of Employees Aged Above 50 | persons | 167 | 155 |
| Number of Employees Aged Below 30 | persons | 1628 | 1149 |
| Number of Employees in Hong Kong | persons | 22 | 19 |
| Number of Employees in Hong Kong and Mainland China | persons | 2591 | 2068 |
| Number of Employees in Mainland China | persons | 2569 | 2049 |
| Number of Employees in Overseas | persons | 10 | 9 |
| Number of Female Employees | persons | 1171 | 954 |
| Number of Male Employees | persons | 1430 | 1123 |
| Number of Total Employees | persons | 2601 | 2077 |
| Percentage of Employees Aged 30-50 | % | 30.99 | 37.23 |
| Percentage of Employees Aged Above 50 | % | 6.42 | 7.47 |
| Percentage of Employees Aged Below 30 | % | 62.58 | 55.32 |
| Percentage of Employees in Hong Kong | % | 0.85 | 0.91 |
| Percentage of Employees in Hong Kong and Mainland China | % | 99.62 | 99.57 |
| Percentage of Employees in Mainland China | % | 98.77 | 98.65 |
| Percentage of Employees in Overseas | % | 0.38 | 0.43 |
| Percentage of Female Employees | % | 45.02 | 45.93 |
| Percentage of Male Employees | % | 54.98 | 54.07 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 18.5 | 28.5 |
| Turnover Rate of Employees Aged Above 50 | % | 11 | 19 |
| Turnover Rate of Employees Aged Below 30 | % | 23 | 49 |
| Turnover Rate of Employees in Hong Kong | % | 16 | |
| Turnover Rate of Employees in Overseas | % | 11 | |
| Turnover Rate of Female Employees | % | 22 | 38 |
| Turnover Rate of Male Employees | % | 21 | 40 |
| Turnover Rate of Total Employees | % | 21 | 39 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | persons | 869 |
| Percentage of Trained Female Employees | % | 33 |
| Percentage of Trained Male Employees | % | 67 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Average Training Hours (Female) | hours | 11 |
| Average Training Hours (General Staff) | hours | 39 |
| Average Training Hours (Male) | hours | 15 |
| Average Training Hours (R&D Personnel Employees) | hours | 6 |
| Average Training Hours (Senior Management) | hours | 6 |