2018 CORPORATE SOCIAL RESPONSIBILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Ammonia nitrogen (NH3-N) | ton | 0.84 | 19 |
| Biochemical oxygen demand (BOD) | ton | 1.84 | 19 |
| Biochemical oxygen demand (BOD5) in effluents | ton | 1.84 | 30 |
| Chemical oxygen demand (COD) | ton | 13.75 | 19 |
| Chemical oxygen demand (COD) in effluents | ton | 13.75 | 30 |
| Effluent treatment process improvement at STA - VOCs removal rate before aerobic stage | % | 99 | 20 |
| Non-methane hydrocarbons | kg | 1824.5 | 19 |
| Non-methane hydrocarbons air emissions | kg | 1824.5 | 30 |
| Volatile organic compounds (VOCs) | kg | 21990 | 19 |
| Volatile organic compounds (VOCs) air emissions | kg | 21900 | 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).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| GHG emission (tCO2e) | ton | 295874.36 | 19 |
| GHG emission per unit operating income | tCO2e/RMB 1000 | 0.03 | 19, 30 |
| Scope I GHG emission | tCO2e | 150936.04 | 30 |
| Scope II GHG emission | tCO2e | 144938.32 | 30 |
| Total GHG emission | tCO2e | 295874.36 | 30 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Suspended solids (SS) | ton | 1.54 | 19 |
| Suspended solids (SS) in effluents | ton | 1.54 | 30 |
| Total hazardous wastes | ton | 808.63 | 19, 30 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Waste silica gel | ton | 48.8 | 19, 30 |
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 | 2018 | Report Pages |
|---|---|---|---|
| Effluent treatment process improvement at STA - increase in effluent treatment capacity | % | 28.5 | 20 |
| Effluent treatment process improvement at STA - reduction in sludge yield | % | 50 | 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).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Diesel consumption of vehicles owned | liter | 6520.96 | 19, 30 |
| Electricity consumption | MWh, kWh | 212904545.24 | 19, 30 |
| Electricity consumption per unit operating income | kWh/RMB 1000 | 22.15 | 19, 30 |
| Gasoline consumption of vehicles owned | liter | 147553.58 | 19, 30 |
| Natural gas consumption | m³ | 2876062.76 | 19, 30 |
| Natural gas consumption per unit operating income | m³/RMB 1000 | 0.3 | 19, 30 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Ammonia nitrogen (NH3-N) in effluents | ton | 0.84 | 30 |
| By sources: effluents collected from other organizations | m³ | 8544.56 | 19 |
| By sources: municipal water supply | m³ | 1593973.33 | 19 |
| Water consumption | m³ | 1602517.89 | 19, 30 |
| Water consumption by sources: effluents collected from other organizations | m³ | 8544.56 | 30 |
| Water consumption by sources: municipal water supply | m³ | 1593973.33 | 30 |
| Water consumption per unit operating income | m³/RMB 1000 | 0.17 | 19, 30 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Effluent treatment process improvement at STA - reduction in power consumption | % | 11 | 20 |
| Electricity consumption saved by AHU at Wuxi facility after transformation of fan motors from power frequency driving to variable frequency driving | kWh | 4284 | 21 |
| Electricity consumption saved by chilled water pipeline units at Wuxi facility after transformation of part of the chilled water pipeline to provide cooling for the facility | kWh per day, kWh per year | 71000 | 21 |
| Electricity consumption saved by two systems at Wuxi facility after transformation of fan motors from power frequency driving to variable frequency driving | kWh | 43776 | 21 |
| Steam condensate reused per day for supply to wash bottle rooms, toilets and roof reservoir at WXAT Tianjin | ton | 45 | 22 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Employees aged 30-50 | No. of people | 7194 | 31 |
| Employees aged <30 | No. of people | 10508 | 31 |
| Employees aged >50 | No. of people | 478 | 31 |
| Employees covered by labor contracts | % | 100 | 31 |
| Employees with a bachelor's degree | No. of people | 8278 | 31 |
| Employees with a doctorate degree | No. of people | 949 | 31 |
| Employees with a master's degree | No. of people | 5636 | 31 |
| Employees without a bachelor's degree | No. of people | 2867 | 31 |
| Female employees | No. of people | 8983 | 31 |
| Male employees | No. of people | 8747 | 31 |
| Total employees | No. of people | 17730 | 31 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Operating income | RMB1 million | 9613.68 | 30 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Compliance training participation | No. of attendances | 20564 | 31 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Average training hours completed per employee | hour | 8.41 | 31 |
| Average training hours completed per female employee | hour | 7.95 | 31 |
| Average training hours completed per male employee | hour | 8.89 | 31 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Suppliers by geographical region: Hong Kong, Macau, Taiwan and other countries and regions | No. of suppliers | 2279 | 31 |
| Suppliers by geographical region: Mainland China | No. of suppliers | 4235 | 31 |
| Total suppliers | No. of suppliers | 6514 | 31 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Suppliers receiving environmental, labor and ethics performance assessment according to the supplier evaluation system of WuXi AppTec | No. of suppliers | 72 | 31 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Total tax paid | RMB1 million | 240.77 | 30 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Anti-corruption System of Wuxi AppTec employee training exam participation rate | % | 99.8 | 16 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Charity donation (included in total community philanthropic investment) | RMB 1000 yuan | 30 | 31 |
| Social contribution value per share | RMB yuan | 4.14 | 30 |
| Total community philanthropic investment | RMB 1000 yuan | 43 | 31 |
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 | 2018 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 150936.04 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 144938.32 |
| Total GHG Emissions | tCO2e | 295874.36 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB 1000 | 0.03 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Hazardous Waste | ton | 1612.26 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Non-Hazardous Waste Disposed | ton | 48.8 |
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 | 2018 |
|---|---|---|
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 50 |
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 | 2018 |
|---|---|---|
| Diesel Fuel Consumption | liter | 6520.96 |
| Gasoline Consumption | liter | 147558.83 |
| Natural Gas Consumption | m³ | 2876062.76 |
| Purchased Electricity | MWh | 212904.55 |
| Purchased Electricity Intensity (By Revenue) | kWh/RMB 1000 | 22.15 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Municipal Water Consumption | m³ | 1593973.33 |
| Third Party Water Consumption | m³ | 8544.56 |
| Water Consumption | m³ | 1602517.89 |
| Water Consumption Intensity (By Revenue) | m³/RMB 1000 | 0.17 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 4284 |
| Energy Consumption Reduction Percentage Compared to Last Year | % | 11 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Bachelor's Degree Employees | people | 8278 |
| Number of Doctoral Degree Employees | people | 949 |
| Number of Employees Aged 30-50 | people | 7194 |
| Number of Employees Aged Above 50 | people | 478 |
| Number of Employees Aged Below 30 | people | 10508 |
| Number of Female Employees | people | 8983 |
| Number of Male Employees | people | 8747 |
| Number of Master's Degree Employees | people | 5636 |
| Number of Total Employees | people | 17730 |
| Percentage of Bachelor's Degree Employees | % | 46.7 |
| Percentage of Doctoral Degree Employees | % | 5.36 |
| Percentage of Employees Aged 30-50 | % | 40.58 |
| Percentage of Employees Aged Above 50 | % | 2.7 |
| Percentage of Employees Aged Below 30 | % | 59.31 |
| Percentage of Female Employees | % | 50.64 |
| Percentage of Male Employees | % | 49.36 |
| Percentage of Master's Degree Employees | % | 31.8 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours (Female) | hour | 7.95 |
| Average Training Hours (Male) | hour | 8.89 |
| Average Training Hours per Employee | hour | 8.41 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Suppliers in Mainland China | No. of suppliers | 4235 |
| Number of Total Suppliers | No. of suppliers | 6514 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | No. of suppliers | 72 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 99.8 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Public Welfare Donations | RMB 1000 yuan | 30 |
| Total Social Investment | RMB 1000 yuan | 43 |