2021 Environmental, Social, and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Ammonia nitrogen | tonnes | 0.55 | 0.42 | 0.44 | 51 |
| Chemical oxygen demand | tonnes | 3.68 | 5.57 | 5.24 | 51 |
| NOx emissions | tonnes | 0.32 | 1.23 | 0.195 | 50 |
| VOC emissions | tonnes | 0.03 | 0.17 | 2.631 | 50 |
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 | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Diesel Fuel (Direct GHG emissions) | tonnes CO2e | 192 | 50 | ||
| Direct GHG emissions (Scope 1) | tonnes CO2e | 535 | 493 | 2217 | 50 |
| Electricity (Indirect GHG emissions) | tonnes CO2e | 8468 | 17583 | 26151 | 50 |
| GHG Emissions - Manufacturing/Plant (Scope 1 & 2) | 74.1% | 46 | |||
| GHG Emissions - Office (Scope 1 & 2) | 3.4% | 46 | |||
| GHG Emissions - R&D Center (Scope 1 & 2) | 22.3% | 46 | |||
| Indirect GHG emissions (Scope 2) | tonnes CO2e | 8488 | 27130 | 35898 | 50 |
| Mobile | MWh | 803 | 49 | ||
| Mobile (Direct GHG emissions) | tonnes CO2e | 210 | 50 | ||
| Natural gas (Direct GHG emissions) | tonnes CO2e | 535 | 493 | 1815 | 50 |
| SO2 emissions | tonnes | 0.03 | 0.08 | 0.127 | 50 |
| Steam (Indirect GHG emissions) | tonnes CO2e | 20 | 9547 | 9746 | 50 |
| Total Direct GHG Emissions (Scope 1) | tonnes CO2e | 2217 | 46 | ||
| Total GHG emissions (Scope 1 and 2) | tonnes CO2e | 9023 | 27623 | 38115 | 50 |
| Total GHG emissions per unit of operating income | tonnes/kg commercial product | 12.3 | 2.29 | 50 | |
| Total Greenhouse Gas Emissions (Scope 1 & 2) | tonnes CO2e | 38115 | 46 | ||
| Total Indirect GHG Emissions (Scope 2) | tonnes CO2e | 35898 | 46 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste | tonnes | 146 | 210 | 414 | 51 |
| Hazardous waste per unit of operating income (tonnes/kg API) | 0.09 | 0.02 | 51 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste | tonnes | 307 | 672 | 281 | 51 |
| Non-hazardous waste per unit of operating income (tonnes/kg commercial product) | 0.3 | 0.02 | 51 |
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 | 2021 | Report Pages |
|---|---|---|---|
| Sludge waste reduction through wastewater treatment improvements in Suzhou | tonnes per year | 13 | 47 |
| Waste generation prevented through reusable packaging in Suzhou | kilograms | 1000 | 47 |
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 | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Diesel Fuel | MWh | 717 | 49 | ||
| Direct energy consumption | MWh | 2646 | 2439 | 10585 | 49 |
| Electricity | MWh | 13452 | 31287 | 47780 | 49 |
| Indirect energy consumption | MWh | 13514 | 60953 | 72392 | 49 |
| Natural gas | MWh | 2646 | 2439 | 9066 | 49 |
| Steam | MWh | 62 | 29666 | 24612 | 49 |
| Total energy consumption | MWh | 16161 | 63392 | 82977 | 49 |
| Total energy consumption per unit of operating income | MWh/kg commercial product | 28.24 | 4.99 | 49 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Office water consumption | cubic meters | 13421 | 24021 | 16832 | 51 |
| Production water consumption | cubic meters | 132074 | 295957 | 342172 | 51 |
| Purified water saved through process efficiency improvements in Suzhou | tonnes | 250 | 47 | ||
| Recycled water | cubic meters | 3458 | 2912 | 2388 | 51 |
| Total water consumption | cubic meters | 145495 | 319979 | 359004 | 51 |
| Wastewater | cubic meters | 51939 | 52481 | 66156 | 51 |
| Wastewater per unit of operating incomes (cubic meters/kg commercial product) | 23.38 | 3.98 | 51 | ||
| Water consumption per unit of operating income (cubic meters/kg commercial product) | 142.53 | 21.6 | 51 | ||
| Water saved through graywater recycling for landscaping in Guangzhou | tonnes | 55000 | 47 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Energy savings from efficient heating and cooling systems in Guangzhou | percent | 10–15 | 47 |
| Steam saved through wastewater treatment improvements in Suzhou | tonnes per year | 1000 | 47 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Assets in clinical and commercialization stage | 50 | 3 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Associate Director - Female | % | 68.6% | 66.1% | 59.5% | 41 |
| Associate Director - Male | % | 31.4% | 33.5% | 39.9% | 41 |
| Associate Director - Not Declared | % | 0.0% | 0.4% | 0.5% | 41 |
| Below Manager - Female | % | 60.3% | 59.8% | 57.7% | 41 |
| Below Manager - Male | % | 39.7% | 40.2% | 42.3% | 41 |
| Below Manager - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Chief Executive Officer - Female | % | 0.0% | 0.0% | 0.0% | 41 |
| Chief Executive Officer - Male | % | 100.0% | 100.0% | 100.0% | 41 |
| Chief Executive Officer - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Chief Financial Officer, President & China GM - Female | % | 0.0% | 0.0% | 50.0% | 41 |
| Chief Financial Officer, President & China GM - Male | % | 100.0% | 100.0% | 50.0% | 41 |
| Chief Financial Officer, President & China GM - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Chief Medical Officers & Chief Advisor, SVP, China Development, General Counsel - Female | % | 25.0% | 33.3% | 25.0% | 41 |
| Chief Medical Officers & Chief Advisor, SVP, China Development, General Counsel - Male | % | 75.0% | 66.7% | 75.0% | 41 |
| Chief Medical Officers & Chief Advisor, SVP, China Development, General Counsel - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Commercial employees | 3300 | 3 | |||
| Director - Female | % | 53.3% | 56.7% | 56.6% | 41 |
| Director - Male | % | 46.7% | 43.3% | 43.4% | 41 |
| Director - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Employee Count by Ethnicity - (Blank) - Total | % | 4.8 | 42 | ||
| Employee Count by Ethnicity - American Indian or Alaska Native (Not Hispanic or Latino) - Total | % | 0.1 | 42 | ||
| Employee Count by Ethnicity - Asian (Not Hispanic or Latino) - Total | % | 38.3 | 42 | ||
| Employee Count by Ethnicity - Black or African American (Not Hispanic or Latino) - Total | % | 5.3 | 42 | ||
| Employee Count by Ethnicity - Hispanic or Latino - Total | % | 5.3 | 42 | ||
| Employee Count by Ethnicity - I do not wish to answer - Total | % | 4.0 | 42 | ||
| Employee Count by Ethnicity - Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - Total | % | 0.4 | 42 | ||
| Employee Count by Ethnicity - Two or More Races (Not Hispanic or Latino) - Total | % | 2.4 | 42 | ||
| Employee Count by Ethnicity - White (Not Hispanic or Latino) - Total | % | 39.4 | 42 | ||
| Employee Count by Gender - Female | % | 58% | 41 | ||
| Employee Count by Gender - Male | % | 42% | 41 | ||
| Employee Hires (Age 30 and under) | 26% | 41% | 55% | 76 | |
| Employee Hires (Age 31-50) | 66% | 55% | 41% | 76 | |
| Employee Hires (Age 51-65) | 8% | 4% | 3% | 76 | |
| Employee Hires (Age 65 and above) | <1% | <1% | <1% | 76 | |
| Employee Hires (Asia Pacific) | 75% | 85% | 84% | 76 | |
| Employee Hires (BeiGene Employees) | 1737 | 2450 | 4271 | 76 | |
| Employee Hires (Contingent Workers) | 149 | 268 | 755 | 76 | |
| Employee Hires (Europe) | 3% | 2% | 3% | 76 | |
| Employee Hires (Female) | 58% | 58% | 55% | 76 | |
| Employee Hires (Male) | 42% | 42% | 45% | 76 | |
| Employee Hires (North America) | 22% | 13% | 13% | 76 | |
| Employee Hires (Total) | 1886 | 2718 | 5026 | 76 | |
| Employee Turnover (Female) | 16% | 14% | 19% | 76 | |
| Employees | 8000 | 3 | |||
| Executive / Senior Vice President - Female | % | 14.3% | 19.0% | 15.4% | 41 |
| Executive / Senior Vice President - Male | % | 85.7% | 81.0% | 84.6% | 41 |
| Executive / Senior Vice President - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Executive Director - Female | % | 61.1% | 63.3% | 57.3% | 41 |
| Executive Director - Male | % | 38.9% | 36.7% | 42.7% | 41 |
| Executive Director - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Females entitled to parental leave (APAC) | 3778 | 78 | |||
| Females entitled to parental leave (Americas) | 600 | 78 | |||
| Females entitled to parental leave (EMEA) | 82 | 78 | |||
| Females that took parental leave (APAC) | 114 | 78 | |||
| Females that took parental leave (Americas) | 37 | 78 | |||
| Females that took parental leave (EMEA) | 2 | 78 | |||
| Gender (Director and Above) - Female | % | 52% | 41 | ||
| Gender (Director and Above) - Male | % | 48% | 41 | ||
| Manager / Senior Manager - Female | % | 60.1% | 59.3% | 58.9% | 41 |
| Manager / Senior Manager - Male | % | 39.8% | 40.6% | 41.0% | 41 |
| Manager / Senior Manager - Not Declared | % | 0.1% | 0.1% | 0.1% | 41 |
| Men entitled to parental leave (APAC) | 2797 | 78 | |||
| Men entitled to parental leave (Americas) | 420 | 78 | |||
| Men entitled to parental leave (EMEA) | 58 | 78 | |||
| Senior Director - Female | % | 50.0% | 51.6% | 53.5% | 41 |
| Senior Director - Male | % | 50.0% | 48.4% | 46.5% | 41 |
| Senior Director - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
| Total - Female | % | 59.1% | 59.1% | 57.6% | 41 |
| Total - Male | % | 40.8% | 40.8% | 42.3% | 41 |
| Total - Not Declared | % | 0.0% | 0.1% | 0.1% | 41 |
| Total female employees that returned to work after parental leave ended that were still employed 12 months after their return to work (APAC) | 69 | 78 | |||
| Total female employees that returned to work after parental leave ended that were still employed 12 months after their return to work (Americas) | All except 1 are still with the company | 78 | |||
| Total female employees that returned to work after parental leave ended that were still employed 12 months after their return to work (EMEA) | 2 still on leave | 78 | |||
| Total female employees that returned to work in the reporting period after parental leave ended (APAC) | 76; 49 still on leave | 78 | |||
| Total female employees that returned to work in the reporting period after parental leave ended (Americas) | 23; 14 still on leave | 78 | |||
| Total female employees that returned to work in the reporting period after parental leave ended (EMEA) | 2 still on leave | 78 | |||
| Total male employees that returned to work after parental leave ended that were still employed 12 months after their return to work (Americas) | All except 1 are still with the company | 78 | |||
| Total male employees that returned to work in the reporting period after parental leave ended (APAC) | 44; 2 still on leave | 78 | |||
| Total male employees that returned to work in the reporting period after parental leave ended (Americas) | 8 | 78 | |||
| Total parental leaves taken in 2021 (APAC) | 153 | 78 | |||
| Total parental leaves taken in 2021 (Americas) | 45 | 78 | |||
| Total parental leaves taken in 2021 (EMEA) | 2 | 78 | |||
| Vice President - Female | % | 20.0% | 21.4% | 31.3% | 41 |
| Vice President - Male | % | 80.0% | 78.6% | 68.8% | 41 |
| Vice President - Not Declared | % | 0.0% | 0.0% | 0.0% | 41 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|
| Employee Turnover (Age 30 and under) | 20% | 16% | 23% | 76 | |
| Employee Turnover (Age 31-50) | 16% | 15% | 20% | 76 | |
| Employee Turnover (Age 51-65) | 9% | 13% | 16% | 76 | |
| Employee Turnover (Age 65 and above) | 40% | 38% | 23% | 76 | |
| Employee Turnover (Asia Pacific) | 19% | 16% | 23% | 76 | |
| Employee Turnover (Europe) | 2% | 17% | 18% | 76 | |
| Employee Turnover (Male) | 20% | 19% | 25% | 76 | |
| Employee Turnover (North America) | 13% | 13% | 17% | 76 | |
| Employee Turnover (Total) | 17% | 16% | 21% | 76 | |
| Men that took parental leave (APAC) | 39 | 78 | |||
| Men that took parental leave (Americas) | 8 | 78 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Research and development and medical affairs employees | 2200 | 3 |
Number of suppliers by geographical region.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Number of suppliers in Asia Pacific | 155 | 68 | |
| Number of suppliers in China | 1578 | 68 | |
| Number of suppliers in Europe, Middle East, and Africa | 231 | 68 | |
| Number of suppliers in North America | 736 | 68 | |
| Percentage of total suppliers in Asia Pacific | % | 6 | 68 |
| Percentage of total suppliers in China | % | 58 | 68 |
| Percentage of total suppliers in Europe, Middle East, and Africa | % | 9 | 68 |
| Percentage of total suppliers in North America | % | 27 | 68 |
| Spend moved from imported goods and services to locally sourced | million USD | 12 | 68 |
| Total number of suppliers | 2700 | 68 | |
| Total percentage of suppliers | % | 100 | 68 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Ongoing or planned clinical trials | 90 | 3 | |
| Pivotal or potentially registration-enabling trials ongoing in geographies | 45 | 3 | |
| Preclinical programs | 50 | 3 | |
| Preclinical programs with first-in-class or best-in-class potential (percentage) | 50% | 3 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| BRUKINSA approved in markets | 45 | 3 | |
| BRUKINSA approved products in China | 16 | 3 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| NOâ‚“ Emissions | tonnes | 0.32 | 1.23 | 0.195 |
| SOâ‚“ Emissions | tonnes | 0.03 | 0.08 | 0.127 |
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 | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 535 | 493 | 2217 |
| GHG Emissions from Natural Gas | tonnes CO2e | 535 | 493 | 1815 |
| GHG Emissions from Purchased Electricity | tonnes CO2e | 8468 | 17583 | 26151 |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 8488 | 27130 | 35898 |
| Mobile Combustion Emissions | tonnes CO2e | 210 | ||
| Total GHG Emissions | tonnes CO2e | 9023 | 27623 | 38115 |
| Total GHG Emissions Intensity (By Product Volume) | tonnes/kg commercial product | 12.3 | 2.29 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Total Hazardous Waste | tonnes | 146 | 210 | 414 |
| Total Hazardous Waste Intensity (By Product Weight) | tonnes/kg API | 0.09 | 0.02 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 307 | 672 | 281 |
| Total Non-Hazardous Waste Intensity (By Product Weight) | tonnes/kg commercial product | 0.3 | 0.02 |
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 | 2021 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Compared to Last Year | tonnes | 1 |
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 | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Diesel Fuel Consumption | MWh | 717 | ||
| Energy Consumption Intensity (By Unit Product) | MWh/kg commercial product | 28.24 | 4.99 | |
| Natural Gas Consumption | MWh | 2646 | 2439 | 9066 |
| Purchased Electricity | MWh | 13452 | 31287 | 47780 |
| Purchased Steam | MWh | 62 | 29666 | 24612 |
| Total Direct Energy Consumption | MWh | 2646 | 2439 | 10585 |
| Total Energy Consumption | MWh | 16161 | 63392 | 82977 |
| Total Indirect Energy Consumption | MWh | 13514 | 60953 | 72392 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Recycled Water Usage | cubic meters | 3458 | 2912 | 2388 |
| Wastewater Discharge Intensity | cubic meters/kg commercial product | 23.38 | 3.98 | |
| Water Consumption | cubic meters | 145495 | 319979 | 359004 |
| Water Consumption Intensity (By Revenue) | cubic meters/kg commercial product | 142.53 | 21.6 | |
| Water Consumption in Office | cubic meters | 13421 | 24021 | 16832 |
| Water Consumption in Production and Operation | cubic meters | 132074 | 295957 | 342172 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2021 |
|---|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | percent | 10–15 |
| Steam Usage Reduction Compared to Last Year | tonnes per year | 1000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Number of Female Employees | 4608 | |||
| Number of Male Employees | 3384 | |||
| Number of New Employees | 1886 | 2718 | 5026 | |
| Number of New Employees (Female) | 1094 | 1576 | 2764 | |
| Number of New Employees (Male) | 792 | 1142 | 2262 | |
| Number of Total Employees | 8000 | |||
| Percentage of Female Employees | % | 59.1 | 59.1 | 57.6 |
| Percentage of Male Employees | % | 40.8 | 40.8 | 42.3 |
| Percentage of New Employees (Female) | % | 58 | 58 | 55 |
| Percentage of New Employees (Male) | % | 42 | 42 | 45 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 | 2020 | 2021 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 16 | 15 | 20 |
| Turnover Rate of Employees Aged Above 50 | % | 9 | 13 | 16 |
| Turnover Rate of Employees Aged Below 30 | % | 20 | 16 | 23 |
| Turnover Rate of Employees in Asia | % | 19 | 16 | 23 |
| Turnover Rate of Employees in Europe | % | 2 | 17 | 18 |
| Turnover Rate of Employees in North America | % | 13 | 13 | 17 |
| Turnover Rate of Female Employees | % | 16 | 14 | 19 |
| Turnover Rate of Male Employees | % | 20 | 19 | 25 |
| Turnover Rate of Total Employees | % | 17 | 16 | 21 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| None |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2021 |
|---|---|---|
| Number of Suppliers in Asia (Excluding China) | 155 | |
| Number of Suppliers in Europe | 231 | |
| Number of Suppliers in Mainland China | 1578 | |
| Number of Suppliers in North America | 736 | |
| Number of Total Suppliers | 2700 |