ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Ammoniacal nitrogen in wastewater | Tonnes | 0.86 | 39 |
COD in wastewater | Tonnes | 10.86 | 39 |
Daily discharge of wastewater reduction after vacuum pump upgrade at Simcere Pharmaceutical | tonnes per day | 100 | 40 |
NOₓ emissions | Tonnes | 0.97 | 39 |
SO₂ emissions | Tonnes | 0.09 | 39 |
Total smoke and dust emissions | Tonnes | 0.03 | 39 |
Total waste gas emissions | m³ | 418691664 | 39 |
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 | 2020 | Report Pages |
---|---|---|---|
Intensity of total greenhouse gas emissions | tCO2e/RMB10000 revenue | 0.15 | 43 |
Scope 1: Direct greenhouse gas emissions | tCO2e | 4819.36 | 43 |
Scope 2: Indirect greenhouse gas emissions | tCO2e | 62365.01 | 43 |
Total greenhouse gas emissions | tCO2e | 67184.37 | 43 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Intensity of hazardous wastes | kg/RMB10000 revenue | 4.6 | 39 |
Suspended solids in wastewater | Tonnes | 0.04 | 39 |
Total hazardous wastes | Tonnes | 2074.87 | 39 |
Total wastewater discharge | Tonnes | 376432 | 39 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Intensity of general solid wastes | kg/RMB10000 revenue | 3.27 | 39 |
Total general solid wastes | Tonnes | 1474.68 | 39 |
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 | 2020 | Report Pages |
---|---|---|---|
Diesel | Tonnes | 194.37 | 42 |
Electricity | MWh | 71370.06 | 42 |
Energy consumption intensity | Tonnes of standard coal/RMB10000 revenue | 12.56 | 42 |
Gasoline | Tonnes | 89.65 | 42 |
Liquefied petroleum gas | Tonnes | 15.45 | 42 |
Natural gas | 10000 m³ | 177.59 | 42 |
Purchased steam | Tonnes | 61836.7 | 42 |
Total energy consumption | Tonnes of standard coal | 5661680.46 | 42 |
Wind power consumption | MWh | 1.46 | 42 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total water consumption | Tonnes | 979409 | 42 |
Water consumption intensity | Tonnes/RMB10000 revenue | 2.17 | 42 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Annual electricity cost savings per vacuum pump from frequency reduction at Hainan Simcere | RMB | 120000 | 41 |
Annual gas consumption fee reduction from heat recovery system at Hainan Simcere | RMB | 150000 | 41 |
Electricity cost savings from HVAC system and GMP management at Simcere Pharmaceutical | RMB | 600000 | 41 |
Steam cost savings from HVAC system and GMP management at Simcere Pharmaceutical | RMB | 160000 | 41 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2010 | 2013 | 2016 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|
Hainan Simcere disomectic API workshop passed GMP certification of French Medicines Agency | certification | 1 | 20 | ||||
Hainan Simcere passed EU GMP certification inspections | certification | 1 | 1 | 1 | 20 | ||
new projects established | Over 20 | 14 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of doctors among R&D fellows | 130 | 15 | |
Number of employees above 50 (inclusive) | employees | 148 | 26 |
Number of employees aged 30–50 (exclusive) | employees | 2756 | 26 |
Number of employees in Mainland China | employees | 6456 | 26 |
Number of employees outside Mainland China | employees | 56 | 26 |
Number of employees under 30 (exclusive) | employees | 3608 | 26 |
Number of female employees | employees | 3256 | 26 |
Number of grassroots employees | employees | 6238 | 26 |
Number of male employees | employees | 3256 | 26 |
Number of masters among R&D fellows | 460 | 15 | |
Number of middle management employees | employees | 236 | 26 |
Number of senior management employees | employees | 38 | 26 |
Total number of employees | employees | 6512 | 26 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of R&D fellows in the Group | 900 | 15 | |
Percentage of female employees trained | 90.86% | 28 | |
Percentage of grassroots employees trained | 89.14% | 28 | |
Percentage of male employees trained | 88.32% | 28 | |
Percentage of middle management employees trained | 100% | 28 | |
Percentage of senior management employees trained | 100% | 28 | |
R&D investment | billion RMB | 1.142 | 16 |
Year-on-year increase in R&D investment over 2019 | % | 59.4 | 16 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Average number of training hours of female employees | hours | 23.43 | 28 |
Average number of training hours of grassroots employees | hours | 22.93 | 28 |
Average number of training hours of male employees | hours | 22.02 | 28 |
Average number of training hours of middle management employees | hours | 17.41 | 28 |
Average number of training hours of senior management employees | hours | 13.14 | 28 |
R&D cost to income ratio | % | 25.3 | 16 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of suppliers in Mainland China and overseas | more than 1000 | 49 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
NIOSH-certified N95 masks purchased and delivered to epidemic prevention frontline | masks | 130000 | 52 |
Number of products included in the NRDL | products | over 40 | 23 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
patent applications | 89 | 17 | |
patent applications for designs | 4 | 17 | |
patent applications for inventions | 78 | 17 | |
patent applications for utility models | 7 | 17 | |
patents for designs obtained | 15 | 17 | |
patents for inventions obtained | 168 | 17 | |
patents for utility models obtained | 63 | 17 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2011 | 2020 | Report Pages |
---|---|---|---|---|
Montmorillonite powder production line passed GMP certification of Finnish Medical Administration | certification | 1 | 20 | |
Number of guidelines and pathways issued by government authorities or prestigious professional associations recommending products | guidelines and pathways | more than 50 | 23 | |
Number of products recommended in guidelines and pathways issued by government authorities or prestigious professional associations | products | over 10 | 23 | |
Solid dosage forms workshop passed U.S. FDA on-site inspection with zero defects | zero defects | 20 | ||
branded product portfolios | Over 40 | 14 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Donation to Lu’an Youth Development Foundation, Anhui, to support construction of Hope Primary School in Lu’an City | million RMB | 1 | 53 |
Donation to Wuhan City during COVID-19 | million RMB | 1 | 53 |
Years of continuous support for Yushu Bayi Orphan School | years | 10 | 54 |
innovative pharmaceuticals | 4 | 14 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Antiviral drugs and medical supplies donated to Wuhan | million RMB | 1 | 52 |
Antiviral drugs and medical supplies donated to designated hospitals and medical institutions of Wuhan City, Jiangsu Province and Nanjing City | million RMB | 4.9 | 52 |
IND application accepted for approval | 1 | 14 | |
IND approvals | 6 | 14 | |
Market value of antiviral drugs and medical supplies donated to designated hospitals and medical institutions of Wuhan City, Jiangsu Province and Nanjing City during COVID-19 | million RMB | 4.9 | 53 |
Masks sourced and donated to the epidemic prevention frontline | masks | 140000 | 52 |
projects at clinical development stage | 11 | 14 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2020 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | Tonnes | 0.03 |
NOₓ Emissions | Tonnes | 0.97 |
SOₓ Emissions | Tonnes | 0.09 |
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 | 2020 |
---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 4819.36 |
Indirect Energy Emissions (Scope 2) | tCO2e | 62365.01 |
Total GHG Emissions | tCO2e | 67184.37 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB10000 revenue | 0.15 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Total Hazardous Waste | Tonnes | 2074.87 |
Total Hazardous Waste Intensity (By Revenue) | kg/RMB10000 revenue | 4.6 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Non-Hazardous Waste Disposed | Tonnes | 1474.68 |
Total Non-Hazardous Waste Intensity (By Revenue) | kg/RMB10000 revenue | 3.27 |
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 | 2020 |
---|---|---|
Diesel Fuel Consumption | Tonnes | 194.37 |
Energy Consumption Intensity (By Revenue) | Tonnes of standard coal/RMB10000 revenue | 12.56 |
Gasoline Consumption | Tonnes | 89.65 |
LPG Consumption | Tonnes | 15.45 |
Natural Gas Consumption | 10000 m³ | 177.59 |
Purchased Electricity | MWh | 71370.06 |
Purchased Steam | Tonnes | 61836.7 |
Total Energy Consumption | Tonnes of standard coal | 5661680.46 |
Wind Energy | MWh | 1.46 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Total Wastewater Discharge | Tonnes | 376432 |
Water Consumption | Tonnes | 979409 |
Water Consumption Intensity (By Revenue) | Tonnes/RMB10000 revenue | 2.17 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
Investment in Energy-saving and Emission-reduction Technology Transformation | RMB | 1030000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Doctoral Degree Employees | 130 | |
Number of Employees Aged 30-50 | employees | 2756 |
Number of Employees Aged Above 50 | employees | 148 |
Number of Employees Aged Below 30 | employees | 3608 |
Number of Employees in Mainland China | employees | 6456 |
Number of Employees in Overseas | employees | 56 |
Number of Female Employees | employees | 3256 |
Number of General Employees | employees | 6238 |
Number of Male Employees | employees | 3256 |
Number of Master's Degree Employees | 460 | |
Number of Middle Management Employees | employees | 236 |
Number of Senior Management Employees | employees | 38 |
Number of Total Employees | employees | 6512 |
Percentage of Doctoral Degree Employees | % | 2 |
Percentage of Employees Aged 30-50 | % | 42.32 |
Percentage of Employees Aged Above 50 | % | 2.27 |
Percentage of Employees Aged Below 30 | % | 55.41 |
Percentage of Employees in Mainland China | % | 99.14 |
Percentage of Employees in Overseas | % | 0.86 |
Percentage of Female Employees | % | 50 |
Percentage of General Employees | % | 95.8 |
Percentage of Male Employees | % | 50 |
Percentage of Master's Degree Employees | % | 7.06 |
Percentage of Middle Management Employees | % | 3.62 |
Percentage of Senior Management Employees | % | 0.58 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of Trained Female Employees | % | 90.86 |
Percentage of Trained General Employees | % | 89.14 |
Percentage of Trained Male Employees | % | 88.32 |
Percentage of Trained Middle Management | % | 100 |
Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2020 |
---|---|---|
Average Training Hours (Female) | hours | 23.43 |
Average Training Hours (General Staff) | hours | 22.93 |
Average Training Hours (Male) | hours | 22.02 |
Average Training Hours (Middle Management) | hours | 17.41 |
Average Training Hours (Senior Management) | hours | 13.14 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Total Suppliers | more than 1000 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Authorised Utility Model Patents | 63 | |
Number of Invention Patents | 168 | |
Number of Patents Applied | 89 | |
Number of Patents Granted | 246 |
Description of quality assurance process and recall procedures.
Standard Indicator | Unit | 2011 | 2020 |
---|---|---|---|
Passing Rate of Third-party Accreditation Performed under the Quality Management System | certification | 1 | 1 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 |
---|---|---|
Donations to Disaster Relief Contributions to Public Welfare | million RMB | 4.9 |
Total In-kind Donations | masks | 140000 |
Total Public Welfare Donations | million RMB | 4.9 |
Total Social Investment | million RMB | 4.9 |