2024 ENVIRONMENTAL, SOCIAL AND GOVERNANCE (ESG) AND SUSTAINABILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ammonia nitrogen | ton | 60.55 | 486 | 254 | 130 | 88.5 | 146 | 175 | 192 | 214 | 94 | ||
Ammonia nitrogen emission | ton | 175 | 192 | 214 | 164 | ||||||||
COD | ton | 490 | 841 | 847 | 778 | 655 | 704 | 841 | 817 | 789 | 94 | ||
COD discharge per RMB10000 revenue | kg/RMB10000 revenue | Decrease by 12% compared to 2020 | 91 | ||||||||||
COD emission | ton | 841 | 817 | 789 | 164 | ||||||||
COD emission intensity | kg/RMB10000 revenue | 0.33 | 0.45 | 0.34 | 0.27 | 0.22 | 0.18 | 0.19 | 0.2 | 0.19 | 0.19 | 0.18 | 92, 94 |
COD emission intensity (wastewater discharge) | kg/RMB10000 revenue | 0.19 | 79 | ||||||||||
COD emission intensity income | Kg/RMB10000 revenue | 0.19 | 0.2 | 0.192 | 164 | ||||||||
Emission of particles | ton | 30 | 37 | 33 | 164 | ||||||||
Intensity of nitrogen oxides (waste gas emission) | g/RMB10000 revenue | 40.86 | 79 | ||||||||||
Intensity of particulate matter (waste gas emission) | g/RMB10000 revenue | 9.57 | 79 | ||||||||||
Intensity of sulfur dioxide (waste gas emission) | g/RMB10000 revenue | 27.41 | 79 | ||||||||||
Nitrogen oxide emission intensity | g/RMB10000 revenue | 51.08 | 46.61 | 46.45 | 38.38 | 29.73 | 40.86 | 93, 164 | |||||
Nitrogen oxide emissions | ton | 204 | 158 | 122 | 164 | ||||||||
Nitrogen oxides Total | ton | 466 | 239 | 251 | 258 | 158 | 182 | 204 | 158 | 122 | 94 | ||
Particle emission intensity | g/RMB10000 revenue | 6.9 | 8.88 | 7.99 | 164 | ||||||||
Particulate matter Intensity | g/RMB10000 revenue | 6.45 | 6.9 | 8.88 | 7.99 | 94 | |||||||
Particulate matter Total | ton | 19 | 41 | 44 | 36 | 37 | 25 | 30 | 37 | 33 | 94 | ||
Particulate matter emission intensity | g/RMB10000 revenue | 11.96 | 6.45 | 6.9 | 8.8 | 7.99 | 9.57 | 93 | |||||
Particulate matter emission per RMB10000 revenue | g/RMB10000 revenue | Decrease by 16% compared to 2020 | 91 | ||||||||||
Qualified rate of VOCs emission | % | 100 | 100 | 100 | 164 | ||||||||
Sulfur dioxide Intensity | g/RMB10000 revenue | 25.91 | 26.91 | 29.77 | 20.38 | 94 | |||||||
Sulfur dioxide Total | ton | 485 | 245 | 279 | 134 | 105 | 101 | 118 | 123 | 84 | 94 | ||
Sulfur dioxide emission per RMB10000 revenue | g/RMB10000 revenue | Decrease by 16% compared to 2020 | 91 | ||||||||||
Sulfur dioxide emissions intensity | g/RMB10000 revenue | 34.26 | 25.91 | 26.91 | 29.77 | 20.38 | 27.41 | 93, 164 | |||||
VOCs compliance | Compliance | 100% | 91 | ||||||||||
VOCs emission | ton | 24 | 43 | 41 | 43 | 38 | 93, 164 | ||||||
Volatile organic compounds (VOCs) Total | ton | 24 | 43 | 41 | 43 | 38 | 94 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ammonia nitrogen discharge per RMB10000 revenue | kg/RMB10000 revenue | Decrease by 12% compared to 2020 | 91 | ||||||||||
Ammonia nitrogen emission intensity | Kg/RMB10000 revenue, kg/RMB10000 revenue | 0.041 | 0.262 | 0.102 | 0.046 | 0.029 | 0.038 | 0.04 | 0.047 | 0.052 | 0.025 | 0.022 | 92, 94, 164 |
Ammonia nitrogen emission intensity (wastewater discharge) | kg/RMB10000 revenue | 0.025 | 79 | ||||||||||
Carbon emission intensity (ton CO2e/RMB10000 revenue) | ton CO2e/RMB10000 revenue | 0.6 | 0.54 | 0.41 | 0.35 | 0.27 | 0.23 | 0.22 | 0.23 | 0.2 | 75 | ||
Greenhouse gas emission intensity | ton/RMB10000 revenue | 0.22 | 0.23 | 0.2 | 163 | ||||||||
Nitrogen oxides Intensity | g/RMB10000 revenue | 46.61 | 46.45 | 38.38 | 29.73 | 94 | |||||||
Nitrogen oxides emission per RMB10000 revenue | g/RMB10000 revenue | Decrease by 16% compared to 2020 | 91 | ||||||||||
Scope 1 carbon emissions (ton CO2e) | ton CO2e | 396062 | 380642 | 224552 | 307856 | 289044 | 210819 | 184016 | 75 | ||||
Scope 1 greenhouse gas emissions | ton COâ‚‚e | 289044 | 210819 | 184016 | 163 | ||||||||
Scope 2 carbon emissions (ton CO2e) | ton CO2e | 389265 | 376563 | 602236 | 591357 | 659631 | 677874 | 653644 | 75 | ||||
Scope 2 greenhouse gas emissions | ton COâ‚‚e | 659631 | 677874 | 653644 | 163 | ||||||||
Scope 3 carbon emissions (ton CO2e) | ton CO2e | 1044 | 938 | 1070 | 899 | 794 | 72171 | 91775 | 75 | ||||
Scope 3 greenhouse gas emissions | ton COâ‚‚e | 794 | 72717 | 91775 | 163 | ||||||||
Sulfur dioxide emissions | ton | 118 | 123 | 84 | 164 | ||||||||
Total carbon emissions (ton CO2e) | ton CO2e | 746179 | 822786 | 786371 | 758143 | 827858 | 900112 | 949469 | 968141 | 929435 | 75 | ||
Total greenhouse gas emissions (Scope 1 + Scope 2 + Scope 3) | ton COâ‚‚e | 949469 | 960864 | 929435 | 163 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Dangerous waste | ton | 7568 | 9618 | 10950 | 164 | |||||||
Dangerous waste intensity | Kg/RMB10000 revenue | 1.72 | 2.33 | 2.67 | 164 | |||||||
Hazardous waste | ton | 7568 | 9618 | 10950 | 164 | |||||||
Hazardous waste intensity | Kg/RMB10000 revenue, kg/RMB10000 revenue | 1.11 | 1.29 | 1.07 | 1.95 | 1.95 | 1.53 | 1.72 | 2.33 | 2.67 | 3.1 | 79, 92, 95, 164 |
Hazardous waste per RMB10000 revenue | kg/RMB10000 revenue | Increase by no more than 46% compared to 2020 | 91 | |||||||||
Hazardous waste volume | ton | 1627 | 2397 | 2682 | 4321 | 5915 | 5954 | 7568 | 9618 | 10950 | 95 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Non-hazardous waste | ton | 61579 | 46411 | 48539 | 164 | ||||||||
Non-hazardous waste intensity | Kg/RMB10000 revenue | 14 | 11.25 | 11.82 | 164 | ||||||||
Non-hazardous waste recycled | ton | 45476 | 38093 | 41350 | 164 | ||||||||
Percentage of renewable materials | 49.7% | 48.7% | 49.9% | 97 | |||||||||
Sewage discharge intensity | ton/RMB10000 revenue | 4.64 | 3.95 | 3.04 | 2.48 | 2.15 | 1.92 | 1.71 | 1.82 | 1.86 | 1.84 | 1.75 | 92, 94, 164 |
Sewage discharge per RMB10000 revenue | ton/RMB10000 revenue | Decrease by 12% compared to 2020 | 91 | ||||||||||
Total renewable material | ton | 9669 | 9149 | 10507 | 97 | ||||||||
Total renewable materials | ton | 9669 | 9148 | 10507 | 164 | ||||||||
Total waste intensity | Kg/RMB10000 revenue, kg/RMB10000 revenue | 55.27 | 48.01 | 34.36 | 25.74 | 16.26 | 17.01 | 15.72 | 13.58 | 14.49 | 23.17 | 79, 92, 95, 164 | |
Total waste per RMB10000 revenue | kg/RMB10000 revenue | Decrease by 8% compared to 2019 | 91 | ||||||||||
Total waste volume | ton | 80848 | 88967 | 85797 | 73548 | 49286 | 66328 | 69147 | 56029 | 59490 | 95, 164 | ||
Wood | ton | 40 | 32 | 8 | 164 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2021–2025 | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|
Carbon emission intensity (2025 target, compared with 2020) | ton CO2e/RMB10000 revenue | 0.23 | 67 | ||||
Carbon emission reduction from energy conservation projects (aggregate 2021–2025) | ton CO2e | 30000 | 67 | ||||
Carbon emissions reduced (Group total) | ton COâ‚‚e | 10196 | 68 | ||||
Carbon reduction (Carelife Pharma) | ton COâ‚‚e | 172 | 68 | ||||
Carbon reduction (Dongting Pharma) | ton COâ‚‚e | 199 | 68 | ||||
Carbon reduction (Hexin Pharma) | ton COâ‚‚e | 124 | 68 | ||||
Carbon reduction (Jisrui Pharma) | ton COâ‚‚e | 67 | 68 | ||||
Carbon reduction (Yao Pharma (Rene Factory)) | ton COâ‚‚e | 469 | 68 | ||||
Carbon reduction (Yao Pharma (Shutu Factory)) | ton COâ‚‚e | 1196 | 68 | ||||
Carbon reduction of purchased green electricity | ton COâ‚‚e | 8825 | 8383 | 10332 | 163 | ||
Greenhouse gas emission reduction by energy saving | ton COâ‚‚e | 9433 | 10114 | 10196 | 163 | ||
Greenhouse gas emission reduction by energy saving (Scope 1) | ton COâ‚‚e | 593 | 163 | ||||
Greenhouse gas emission reduction by energy saving (Scope 2) | ton COâ‚‚e | 9603 | 163 | ||||
Planned annual carbon reduction from energy conservation projects (2021–2025) | ton CO2e per year | 6000 | 67 |
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 | 2025 | Report Pages |
---|---|---|---|
VOCs emissions control rate (waste gas emission) | compliance with annual VOCs emissions | 100% | 79 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|
Clean energy consumption | MWh | 347844 | 163 | ||||||||
Clean energy consumption by type — Natural gas | m³ | 20395563 | 20454880 | 29015918 | 163 | ||||||
Clean energy consumption by type — Purchased green electricity | MWh | 16920 | 14700 | 19253 | 163 | ||||||
Clean energy consumption by type — Solar energy | MWh | 1370 | 2879 | 14586 | 163 | ||||||
Comprehensive energy consumption | GJ, Tce | 5581931 | 6496683 | 7753262 | 7576550 | 7655768 | 8048743 | 8368603 | 7868021 | 7427434 | 76, 163 |
Comprehensive energy consumption intensity | GJ/RMB10000 revenue, Tce/RMB10000 revenue | 4.43 | 3.51 | 3.11 | 2.65 | 2.53 | 2.06 | 1.9 | 1.88 | 0.06 | 76, 163 |
Comprehensive energy consumption intensity (Group) | GJ/RMB10000 revenue | 1.809 | 68 | ||||||||
Diesel consumption, All business segments | litre | 1211463 | 76 | ||||||||
Diesel consumption, Healthcare services | litre | 36828 | 76 | ||||||||
Diesel consumption, Medical devices and medical diagnosis | litre | 42607 | 76 | ||||||||
Diesel consumption, Pharmaceutical manufacturing | litre | 1132029 | 76 | ||||||||
Direct energy consumption — Coal | Tce | 39739 | 163 | ||||||||
Direct energy consumption — Diesel | Tce | 1474 | 163 | ||||||||
Direct energy consumption — Fuel oil | Tce | 1008 | 163 | ||||||||
Direct energy consumption — Liquefied gas | Tce | 54 | 163 | ||||||||
Direct energy consumption — Natural gas | Tce | 38591 | 163 | ||||||||
Direct energy consumption — Petrol | Tce | 295 | 163 | ||||||||
External energy consumption | GJ | 14799 | 13302 | 15173 | 12735 | 11254 | 11527 | 8635 | 76 | ||
Fuel oil consumption, All business segments | kg | 705639 | 76 | ||||||||
Fuel oil consumption, Pharmaceutical manufacturing | kg | 705639 | 76 | ||||||||
Gasoline consumption, All business segments | litre | 277347 | 76 | ||||||||
Gasoline consumption, Healthcare services | litre | 112098 | 76 | ||||||||
Gasoline consumption, Medical devices and medical diagnosis | litre | 33726 | 76 | ||||||||
Gasoline consumption, Pharmaceutical manufacturing | litre | 131524 | 76 | ||||||||
Indirect energy consumption — Purchased electricity | Tce | 99081 | 163 | ||||||||
Indirect energy consumption — Purchased steam | Tce | 76700 | 163 | ||||||||
Internal energy consumption | GJ | 7738463 | 7563248 | 7640595 | 8036008 | 8357349 | 7856495 | 7418799 | 76 | ||
Liquefied gas consumption, All business segments | kg | 31249 | 76 | ||||||||
Liquefied gas consumption, Medical devices and medical diagnosis | kg | 915 | 76 | ||||||||
Liquefied gas consumption, Pharmaceutical manufacturing | kg | 30334 | 76 | ||||||||
Natural gas consumption, All business segments | m³ | 29015918 | 76 | ||||||||
Natural gas consumption, Healthcare services | m³ | 1855765 | 76 | ||||||||
Natural gas consumption, Medical devices and medical diagnosis | m³ | 364894 | 76 | ||||||||
Natural gas consumption, Pharmaceutical manufacturing | m³ | 26795260 | 76 | ||||||||
Percentage of non-renewable materials | 50.3% | 51.3% | 50.1% | 97 | |||||||
Proportion of clean energy to total energy consumption | % | 10.29 | 11.11 | 16.64 | 163 | ||||||
Raw coal consumption, All business segments | ton | 55633 | 76 | ||||||||
Raw coal consumption, Pharmaceutical manufacturing | ton | 55633 | 76 | ||||||||
Steam consumption, All business segments | kg | 596424783 | 76 | ||||||||
Steam consumption, Medical devices and medical diagnosis | kg | 411000 | 76 | ||||||||
Steam consumption, Pharmaceutical manufacturing | kg | 596013783 | 76 | ||||||||
Total electricity consumption | kWh | 478175186 | 513272112 | 655108860 | 631436019 | 637986028 | 664674268 | 713527824 | 769128064 | 806195732 | 76 |
Total electricity consumption, All business segments | kWh | 806195732 | 76 | ||||||||
Total electricity consumption, Healthcare services | kWh | 99634850 | 76 | ||||||||
Total electricity consumption, Medical devices and medical diagnosis | kWh | 10169292 | 76 | ||||||||
Total electricity consumption, Pharmaceutical manufacturing | kWh | 696391589 | 76 | ||||||||
Wood (renewable material) | ton | 40 | 32 | 8 | 97 | ||||||
Year-on-year decrease in comprehensive energy consumption intensity (Group) | % | -5.18 | 68 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Decrease in intensity of water consumption, sewage discharge, and COD discharge compared with 2020 | % | 12 | 10 | ||||||||||
Total sewage discharge | ton | 6785400 | 7315890 | 7565178 | 7091033 | 6505479 | 7497581 | 7523754 | 7507716 | 7626020 | 94, 164 | ||
Total water consumption | 10000 ton, m³ | 8769376 | 9515697 | 9959415 | 9527927 | 9381818 | 10521811 | 1054.56 | 10489189 | 1051.52 | 96, 163 | ||
Total water saving | m3 | 391000 | 10 | ||||||||||
Wastewater discharge intensity | tons/RMB10000 revenue | 1.84 | 79 | ||||||||||
Water consumption intensity | m³/RMB10000 revenue, ton/RMB10000 revenue | 5.99 | 5.14 | 3.99 | 3.33 | 3.1 | 2.7 | 2.4 | 2.54 | 2.56 | 2.65 | 2.39 | 79, 93, 96, 163 |
Water consumption per RMB10000 revenue | m³/RMB10000 revenue | Decrease by 12% compared to 2020 | 91 | ||||||||||
Water saving | 10000 ton | 34 | 76 | 39 | 163 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Comprehensive energy consumption intensity (2025 target, compared with 2020) | GJ/RMB10000 revenue | 2.29 | 67 | |||
Electricity saved (Carelife Pharma) | kWh | 320000 | 68 | |||
Electricity saved (Dongting Pharma) | kWh | 130000 | 68 | |||
Electricity saved (Group total) | kWh | 13450000 | 68 | |||
Electricity saved (Hexin Pharma) | kWh | 100000 | 68 | |||
Electricity saved (Jisrui Pharma) | kWh | 130000 | 68 | |||
Electricity saved (Yao Pharma (Rene Factory)) | kWh | 870000 | 68 | |||
Electricity saved (Yao Pharma (Shutu Factory)) | kWh | 1950000 | 68 | |||
Natural gas saved (Dongting Pharma) | m³ | 60000 | 68 | |||
Natural gas saved (Group total) | m³ | 270000 | 68 | |||
Natural gas saved (Hexin Pharma) | m³ | 30000 | 68 | |||
Natural gas saved (Yao Pharma (Shutu Factory)) | m³ | 70000 | 68 | |||
Natural gas saving | 10000 m³ | 97 | 109 | 27 | 163 | |
Purchased steam saved (Group total) | tons | 7307 | 68 | |||
Saving in electricity | 10000 kWh | 886 | 1056 | 1345 | 163 | |
Saving in purchased steam | ton | 4700 | 4402 | 7307 | 163 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Proportion of total annual water consumption saved | % | 3.71 | 10 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Glass (non-renewable material) | ton | 5318 | 5278 | 6548 | 97 |
Intensity of package material consumption | kg/RMB10000 revenue | 4.42 | 4.55 | 5.13 | 164 |
Metal (non-renewable material) | ton | 401 | 1222 | 1004 | 97 |
Non-renewable materials | ton | 9768 | 9624 | 10557 | 97 |
Packaging material consumption | ton | 19437 | 18772 | 21064 | 164 |
Paper | ton | 9629 | 9116 | 10499 | 164 |
Paper (renewable material) | ton | 9629 | 9116 | 10499 | 97 |
Plastic (non-renewable material) | ton | 3517 | 2047 | 2063 | 97 |
Rubber (non-renewable material) | ton | 532 | 1076 | 942 | 97 |
Total packaging materials | ton | 19437 | 18772 | 21064 | 97 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Employment rate of ethnic minority employees | % | 2.9 | 3.02 | 3.03 | 165 |
Female employees | 18614 | 19995 | 20387 | 110 | |
Male employees | 19785 | 20375 | 20170 | 110 | |
Number of employees | person | 38399 | 40370 | 40557 | 165 |
Number of employees above 50 | person | 3874 | 4095 | 4265 | 165 |
Number of employees between 30–50 | person | 22019 | 23725 | 24408 | 165 |
Number of employees in China (including Hong Kong, Macao and Taiwan regions) | person | 31973 | 32704 | 32862 | 165 |
Number of employees overseas | person | 6426 | 7666 | 7695 | 165 |
Number of employees under 30 | person | 12506 | 12550 | 11884 | 165 |
Number of female Directors | person | 2 | 2 | 2 | 167 |
Number of female employees | person | 18614 | 19995 | 20387 | 165 |
Number of full-time employees | person | 36813 | 39040 | 39178 | 165 |
Number of independent non-executive Directors | person | 4 | 4 | 4 | 167 |
Number of male employees | person | 19785 | 20375 | 20170 | 165 |
Number of master's and doctoral degree holders | person | 5575 | 5535 | 5524 | 165 |
Number of part-time employees | person | 1586 | 1330 | 1379 | 165 |
Overseas employees | 6426 | 7666 | 7695 | 110 | |
Percentage of female employees | 48.48% | 49.53% | 50.27% | 110 | |
Percentage of overseas employees | 16.73% | 18.99% | 18.97% | 110 | |
Proportion of R&D staff | % | 9.5 | 8.65 | 7.51 | 166 |
Total employees | 38399 | 40370 | 40557 | 110 | |
Total ethnic minority employees | person | 1115 | 1220 | 1228 | 165 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Employee turnover | % | 15.95 | 13.02 | 12.3 | 165 |
Employee turnover rate (Female) | 11.59% | 110 | |||
Employee turnover rate (Group) | 12.30% | 110 | |||
Employee turnover rate (Male) | 13.20% | 110 | |||
Employee turnover rate (age 20-30) | 17.34% | 110 | |||
Employee turnover rate (age 30-40) | 12.69% | 110 | |||
Employee turnover rate (age 40-50) | 8.50% | 110 | |||
Employee turnover rate (age 50-55) | 4.62% | 110 | |||
Employee turnover rate (age 55-60) | 4.50% | 110 | |||
Employee turnover rate (age over 60) | 4.70% | 110 | |||
Turnover rate by age above 60 | % | 23.7 | 11.86 | 4.7 | 165 |
Turnover rate by age between 20–30 | % | 30.3 | 19.82 | 17.34 | 165 |
Turnover rate by age between 30–40 | % | 20.66 | 12.58 | 12.69 | 165 |
Turnover rate by age between 40–50 | % | 11.61 | 7.06 | 8.5 | 165 |
Turnover rate by age between 50–55 | % | 7.95 | 5.4 | 4.62 | 165 |
Turnover rate by age between 55–60 | % | 13.21 | 6.03 | 4.5 | 165 |
Turnover rate by age under 20 | % | 41.32 | 17.54 | 29.63 | 165 |
Turnover rate by gender (female) | % | 20.37 | 12.23 | 11.59 | 165 |
Turnover rate by gender (male) | % | 22.25 | 13.79 | 13.2 | 165 |
Turnover rate by region China (including Hong Kong, Macao and Taiwan regions) | % | 15.86 | 12.09 | 11.82 | 165 |
Turnover rate by region overseas | % | 17.7 | 17.03 | 14.3 | 165 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|
LTI rate per million working hours | / | 0.58 | 0.415 | 0.226 | 0.343 | 0.313 | 0.17 | 0.101 | 0.104 | 0.133 | 130, 166 |
Major injury rate per million working hours | 0.22 | 0.03 | 0.038 | 0.033 | 130 | ||||||
Minor injury rate per million working hours | 0.36 | 0.385 | 0.188 | 0.343 | 0.28 | 0.17 | 0.101 | 0.104 | 0.133 | 130 | |
Occupational hazard exposure rate | % | 15.27 | 16.76 | 17.94 | 166 | ||||||
RI rate per million working hours | 1.05 | 0.915 | 0.433 | 0.395 | 0.494 | 0.355 | 0.202 | 0.193 | 0.297 | 130 | |
Recordable injury rate per million work hours | / | 0.202 | 0.193 | 0.297 | 166 |
Lost days due to work injury.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Lost days due to work injury | day | 208 | 166 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Compliance rate for safety summary report submission | % | 100 | 100 | 100 | 167 |
Total EHS training hours | hour | 468731 | 475293 | 465336 | 166 |
Total EHS training person-times | time | 274444 | 296291 | 306664 | 166 |
Work injury insurance staff coverage rate | % | 100 | 100 | 100 | 166 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
EHS training total participant attendances for pharmaceutical manufacturing | 272342 | 135 | |||
Percentage of employees trained | 75% | 121 | |||
Percentage of employees trained except senior management | 75% | 121 | |||
Percentage of female employees trained | 75% | 121 | |||
Percentage of male employees trained | 75% | 121 | |||
Percentage of senior management trained | 80% | 121 | |||
R&D staff | person | 3646 | 3491 | 3047 | 166 |
Training coverage rate | % | 100 | 74 | 75 | 166 |
Training coverage rate by employee category - Other staff (excluding senior management) | % | 72 | 73 | 75 | 166 |
Training coverage rate by employee category - Senior management | % | 81 | 79 | 80 | 166 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Annual per capita quality training hours for production and operations personnel | hour | 85 | 87 | 93 | 167 |
Average training hours per employee except senior management | hours | 51 | 121 | ||
Average training hours per female employee | hours | 50.6 | 121 | ||
Average training hours per male employee | hours | 50.9 | 121 | ||
Average training hours per person | hours | 50.8 | 121 | ||
Average training hours per senior management | hours | 35.6 | 121 | ||
EHS training average number of training per participant | times | 9 | 10.3 | 10.3 | 135 |
EHS training average number of training per participant for healthcare services | times | 1.81 | 135 | ||
EHS training average number of training per participant for medical devices and medical diagnosis | times | 15.45 | 135 | ||
EHS training average number of training per participant for pharmaceutical manufacturing | times | 13.69 | 135 | ||
EHS training average training hour per participant | hours | 15.37 | 16.52 | 15.63 | 135 |
EHS training average training hour per participant for healthcare services | hours | 1.95 | 135 | ||
EHS training average training hour per participant for medical devices and medical diagnosis | hours | 22.07 | 135 | ||
EHS training average training hour per participant for pharmaceutical manufacturing | hours | 20.51 | 135 | ||
EHS training hours per employee | hour | 15.37 | 16.52 | 15.63 | 166 |
EHS training times per employee | time | 9 | 10.3 | 10.3 | 166 |
EHS training total hours | hours | 468731 | 475293 | 465336 | 135 |
EHS training total hours for healthcare services | hours | 30604 | 135 | ||
EHS training total hours for medical devices and medical diagnosis | hours | 26622 | 135 | ||
EHS training total hours for pharmaceutical manufacturing | hours | 408109 | 135 | ||
EHS training total participant attendances | 274444 | 296291 | 306664 | 135 | |
EHS training total participant attendances for healthcare services | 15695 | 135 | |||
EHS training total participant attendances for medical devices and medical diagnosis | 18627 | 135 | |||
Total number of man-hours of training | man-hour | 1377319 | 1342886 | 1544318 | 166 |
Total training expenses | RMB7.87 million | 121 | |||
Total training expenses for the year | RMB10000 | 985 | 756 | 787 | 166 |
Training hours of employees by employee category - Other staff (excluding senior management) | hour | 49.9 | 45.1 | 51 | 166 |
Training hours of employees by employee category - Senior management | hour | 33.4 | 35.2 | 35.6 | 166 |
Training hours of employees by gender - Female | hour | 57.2 | 44.2 | 50.6 | 166 |
Training hours of employees by gender - Male | hour | 43.9 | 45.6 | 50.9 | 166 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of suppliers by region - Chinese mainland | unit | 4055 | 4476 | 167 | |
Number of suppliers by region - Hong Kong, Macao and Taiwan regions of the PRC | unit | 12 | 86 | 167 | |
Number of suppliers by region - Overseas | unit | 399 | 112 | 167 | |
Total number of suppliers | unit | 3166 | 4466 | 4674 | 167 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Proportion of renewable materials | % | 49.7 | 48.7 | 49.9 | 164 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Complaint response rate | % | 100 | 100 | 100 | 167 |
Compliance rate for individual adverse reaction report submission | % | ≥98 | ≥98 | ≥98 | 167 |
Number of complaints case | case | 36 | 16 | 21 | 167 |
Number of rare disease drug indications under development | indications | 9 | 10 | ||
Number of rare disease drugs launched | drugs | 3 | 10 | ||
Timely completion rate of complaint investigations | % | ≥97 | ≥97 | ≥97 | 167 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of patent applications | item | 249 | 206 | 220 | 166 |
Number of patent granted | item | 48 | 74 | 66 | 166 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Domestic and international official quality inspections & major client quality audits pass rate | % | 100 | 100 | 100 | 167 |
First-pass yield | % | ≥98 | ≥98 | ≥98 | 167 |
Market compliance rate for product quality | % | 100 | 100 | 100 | 167 |
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 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of corruption proceedings concluded through assistance to the judiciary | case | 2 | 5 | 1 | 167 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of integrity trainings (anti-bribery and anti-corruption) | time | 16 | 18 | 8 | 167 |
Number of members of Board of Directors | person | 12 | 12 | 12 | 167 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of people benefited from rural revitalization | person | Over 1034000 | Over 270000 | Over 880000 | 166 |
Total amount of charitable donation | RMB100000000 | 0.61 | 0.91 | 1.77 | 166 |
Total expenses for rural revitalization | RMB10000 | 186 | 493 | 267 | 166 |
Value of artesunate donation project in Africa | million RMB | 180 | 10 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
---|---|---|---|---|---|---|---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | ton | 19 | 41 | 44 | 36 | 37 | 25 | 30 | 37 | 33 | |
NOâ‚“ Emission Intensity (By Revenue) | g/RMB10000 revenue | 51.08 | 46.61 | 46.45 | 38.38 | 29.73 | 40.86 | ||||
NOâ‚“ Emissions | ton | 466 | 239 | 251 | 258 | 158 | 182 | 204 | 158 | 122 | |
PM Emission Intensity (By Revenue) | g/RMB10000 revenue | 11.96 | 6.45 | 6.9 | 8.88 | 7.99 | 9.57 | ||||
SOâ‚“ Emission Intensity (By Revenue) | g/RMB10000 revenue | 34.26 | 25.91 | 26.91 | 29.77 | 20.38 | 27.41 | ||||
SOâ‚“ Emissions | ton | 485 | 245 | 279 | 134 | 105 | 101 | 118 | 123 | 84 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | ton CO2e | 396062 | 380642 | 224552 | 307856 | 289044 | 210819 | 184016 | ||
Indirect Energy Emissions (Scope 2) | ton CO2e | 389265 | 376563 | 602236 | 591357 | 659631 | 677874 | 653644 | ||
Total GHG Emissions | ton CO2e | 746179 | 822786 | 786371 | 758143 | 827858 | 900112 | 949469 | 968141 | 929435 |
Total GHG Emissions Intensity (By Revenue) | ton/RMB10000 revenue | 0.6 | 0.54 | 0.41 | 0.35 | 0.27 | 0.23 | 0.22 | 0.23 | 0.2 |
Total Other Indirect Energy Emissions (Scope 3) | ton CO2e | 1044 | 938 | 1070 | 899 | 794 | 72171 | 91775 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
---|---|---|---|---|---|---|---|---|---|---|---|
Total Hazardous Waste | ton | 1627 | 2397 | 2682 | 4321 | 5915 | 5954 | 7568 | 9618 | 10950 | |
Total Hazardous Waste Intensity (By Revenue) | kg/RMB10000 revenue | 1.11 | 1.29 | 1.07 | 1.95 | 1.51 | 1.53 | 1.72 | 2.33 | 2.67 | 3.1 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Non-Hazardous Waste Recycled | ton | 45476 | 38093 | 41350 |
Total Non-Hazardous Waste Intensity (By Revenue) | kg/RMB10000 revenue | 14 | 11.25 | 11.82 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2025 |
---|---|---|
Reduction in GHG Intensity Compared to Last Year (By Revenue) | ton CO2e/RMB10000 revenue | 0.23 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|---|---|---|---|
Comprehensive Energy Consumption Intensity (By Revenue) | GJ/RMB10000 revenue | 4.43 | 3.51 | 3.11 | 2.65 | 2.53 | 2.06 | 1.9 | 1.88 | 1.81 |
Diesel Fuel Consumption | litre | 1211463 | ||||||||
Gasoline Consumption | litre | 277347 | ||||||||
Heating Oil Consumption | kg | 705639 | ||||||||
LPG Consumption | kg | 31249 | ||||||||
Natural Gas Consumption | m³ | 20395563 | 20454880 | 29015918 | ||||||
Percentage of Renewable Energy Consumption | % | 10.29 | 11.11 | 16.64 | ||||||
Purchased Electricity | MWh | 16920 | 14700 | 19253 | ||||||
Purchased Steam | Tce | 76700 | ||||||||
Solar Energy | MWh | 1370 | 2879 | 14586 | ||||||
Total Electricity Consumption | kWh | 478175186 | 513272112 | 655108860 | 631436019 | 637986028 | 664674268 | 713527824 | 769128064 | 806195732 |
Total Energy Consumption | GJ | 5581931 | 6496683 | 7753262 | 7576550 | 7655768 | 8048743 | 8368603 | 7868021 | 7427434 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total Wastewater Discharge | ton | 6785400 | 7315890 | 7565178 | 7091033 | 6505479 | 7497581 | 7523754 | 7507716 | 7626020 | ||
Wastewater Discharge Intensity | tons/RMB10000 revenue | 1.84 | ||||||||||
Water Consumption | m³ | 8769376 | 9515697 | 9959415 | 9527927 | 9381818 | 10521811 | 10545581 | 10489189 | 10515162 | ||
Water Consumption Intensity (By Revenue) | m³/RMB10000 revenue | 5.99 | 5.14 | 3.99 | 3.33 | 3.1 | 2.7 | 2.4 | 2.54 | 2.56 | 2.65 | 2.39 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Electricity Usage Reduction Compared to Last Year | kWh | 8860000 | 10560000 | 13450000 |
Energy Consumption Reduction Compared to Last Year | kWh | 8860000 | 10560000 | 13450000 |
Steam Usage Reduction Compared to Last Year | ton | 4700 | 4402 | 7307 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
Water Consumption Reduction Percentage Compared to Last Year | % | 3.71 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Packaging Material Consumption (Glass) | ton | 5318 | 5278 | 6548 |
Packaging Material Consumption (Metal) | ton | 401 | 1222 | 1004 |
Packaging Material Consumption (Paper) | ton | 9629 | 9116 | 10499 |
Packaging Material Consumption (Plastic) | ton | 3517 | 2047 | 2063 |
Packaging Material Consumption (Rubber) | ton | 532 | 1076 | 942 |
Packaging Material Intensity (By Revenue) | kg/RMB10000 revenue | 4.42 | 4.55 | 5.13 |
Packaging Material Savings | ton | 4 | ||
Packaging Materials Consumed | ton | 19437 | 18772 | 21064 |
Packaging Materials Waste Recycled | tons | 961 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Employees Aged 30-50 | person | 22019 | 23725 | 24408 |
Number of Employees Aged Above 50 | person | 3874 | 4095 | 4265 |
Number of Employees Aged Below 30 | person | 12506 | 12550 | 11884 |
Number of Employees in Overseas | person | 6426 | 7666 | 7695 |
Number of Female Employees | person | 18614 | 19995 | 20387 |
Number of Full-time Employees | person | 36813 | 39040 | 39178 |
Number of Male Employees | person | 19785 | 20375 | 20170 |
Number of Part-time Employees | person | 1586 | 1330 | 1379 |
Number of Total Employees | person | 38399 | 40370 | 40557 |
Percentage of Employees in Overseas | % | 16.73 | 18.99 | 18.97 |
Percentage of Female Employees | % | 48.48 | 49.53 | 50.27 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 16.135 | 9.82 | 10.595 |
Turnover Rate of Employees Aged Above 50 | % | 14.286 | 7.43 | 4.606 |
Turnover Rate of Employees Aged Below 30 | % | 41.32 | 17.54 | 29.63 |
Turnover Rate of Employees in Hong Kong and Mainland China | % | 15.86 | 12.09 | 11.82 |
Turnover Rate of Employees in Overseas | % | 17.7 | 17.03 | 14.3 |
Turnover Rate of Female Employees | % | 20.37 | 12.23 | 11.59 |
Turnover Rate of Male Employees | % | 22.25 | 13.79 | 13.2 |
Turnover Rate of Total Employees | % | 15.95 | 13.02 | 12.3 |
Lost days due to work injury.
Standard Indicator | Unit | 2024 |
---|---|---|
Lost Days Due to Work-related Injuries | day | 208 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of People Receiving Training on Work Safety | person-times | 274444 | 296291 | 306664 |
Total Hours of Safety Training for Employees | hour | 468731 | 475293 | 465336 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Percentage of Employees Trained | % | 100 | 74 | 75 |
Percentage of Trained Female Employees | % | 75 | ||
Percentage of Trained General Employees | % | 72 | 73 | 75 |
Percentage of Trained Male Employees | % | 75 | ||
Percentage of Trained Senior Management | % | 81 | 79 | 80 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Average Training Hours (Female) | hour | 57.2 | 44.2 | 50.6 |
Average Training Hours (General Staff) | hour | 49.9 | 45.1 | 51 |
Average Training Hours (Male) | hour | 43.9 | 45.6 | 50.9 |
Average Training Hours (Operational Employees) | hour | 85 | 87 | 93 |
Average Training Hours (Senior Management) | hour | 33.4 | 35.2 | 35.6 |
Average Training Hours per Employee | hour | 49.9 | 45.1 | 50.8 |
Total Training Hours | man-hour | 1377319 | 1342886 | 1544318 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Suppliers in Hong Kong | unit | 12 | 86 | |
Number of Suppliers in Mainland China | unit | 4055 | 4476 | |
Number of Suppliers in Overseas | unit | 399 | 112 | |
Number of Total Suppliers | unit | 3166 | 4466 | 4674 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Complaint Growth Rate | % | -55.56 | 31.25 | |
Total Number of Customer Complaints | case | 36 | 16 | 21 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Patents Applied | item | 249 | 206 | 220 |
Number of Patents Granted | item | 48 | 74 | 66 |
Description of quality assurance process and recall procedures.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Passing Rate of Third-party Accreditation Performed under the Quality Management System | % | 100 | 100 | 100 |
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.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Concluded Corruption Lawsuits | case | 2 | 5 | 1 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Anti-corruption Training Session | time | 16 | 18 | 8 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Total In-kind Donations | RMB | 180000000 | ||
Total Public Welfare Donations | RMB | 61000000 | 91000000 | 177000000 |
Total Social Investment | RMB | 61000000 | 91000000 | 177000000 |