2020 Corporate Social Responsibility 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 | Report Pages |
|---|---|---|---|---|---|---|---|
| Ammonia nitrogen | ton/year | 60.55 | 486 | 254 | 130 | 88.5 | 100 |
| Ammonia nitrogen intensity | kg/RMB10000 | 0.262 | 0.0414 | 0.102 | 0.046 | 0.03 | 85 |
| COD | ton/year | 490 | 841 | 847 | 778 | 655 | 100 |
| COD emission intensity | kg/RMB10000 of output value | 0.33 | 0.45 | 0.34 | 0.27 | 0.22 | 100, 126 |
| COD emission intensity (actual in 2020) | kg/RMB10000 of output value | 0.22 | 100 | ||||
| COD emissions intensity | kg/RMB10000 | 0.33 | 0.45 | 0.34 | 0.27 | 0.22 | 85 |
| Emission of COD | tons/year | 847 | 778 | 655 | 126 | ||
| Emission of NH3-N | tons/year | 254 | 130 | 88 | 126 | ||
| Emission of nitrogen oxides | tons/year | 251 | 258 | 158 | 126 | ||
| Emission of particles | tons/year | 44 | 36 | 37 | 126 | ||
| Emission of sulphur oxides | tons/year | 279 | 134 | 105 | 126 | ||
| Nitrogen oxides emission | ton/year | 466 | 239 | 251 | 258 | 158 | 102 |
| Nitrogen oxides emission - Healthcare services | ton/year | 1.9 | 102 | ||||
| Nitrogen oxides emission - Medical devices and diagnosis | ton/year | 0.3 | 102 | ||||
| Nitrogen oxides emission - Pharmaceutical manufacturing and R&D | ton/year | 155.8 | 102 | ||||
| Nitrogen oxides emission - Total | ton/year | 158 | 102 | ||||
| Non-methane total hydrocarbons emission | ton/year | 24.2 | 102 | ||||
| Non-methane total hydrocarbons emission - Pharmaceutical manufacturing and R&D | ton/year | 24.2 | 102 | ||||
| Non-methane total hydrocarbons emission - Total | ton/year | 24.2 | 102 | ||||
| Particles emission | ton/year | 19 | 41 | 44 | 36 | 37 | 102 |
| Particles emission - Healthcare services | ton/year | 0.2 | 102 | ||||
| Particles emission - Pharmaceutical manufacturing and R&D | ton/year | 36.5 | 102 | ||||
| Particles emission - Total | ton/year | 36.7 | 102 | ||||
| Sulfur oxides emission | ton/year | 485 | 245 | 279 | 134 | 105 | 102 |
| Sulfur oxides emission - Pharmaceutical manufacturing and R&D | ton/year | 105 | 102 | ||||
| Sulfur oxides emission - Total | ton/year | 105 | 102 | ||||
| Total ammonia nitrogen emission | ton | 466 | 239 | 251 | 258 | 158 | 85 |
| Total sulfur oxides emission | ton | 485 | 245 | 279 | 134 | 105 | 85 |
| VOC emissions | tons | 2.42 | 102 |
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 | Report Pages |
|---|---|---|---|---|---|---|---|
| Ammonia nitrogen emission intensity | kg/RMB10000 of output value | 0.041 | 0.262 | 0.102 | 0.046 | 0.03 | 100, 126 |
| Ammonia nitrogen emission intensity (actual in 2020) | kg/RMB10000 of output value | 0.03 | 100 | ||||
| Carbon emission intensity | ton/RMB10000, ton/RMB10000 of output value, tons/RMB10000 of output value | 0.6 | 0.54 | 0.41 | 0.35 | 0.27 | 84, 92, 96, 126 |
| Direct greenhouse gas emissions | ton | 288447 | 338285 | 397106 | 381580 | 225622 | 96 |
| Indirect greenhouse gas emissions | ton | 457732 | 484501 | 389265 | 376563 | 602236 | 96 |
| Total carbon emission | ton/year | 786371 | 758143 | 827858 | 126 | ||
| Total carbon emissions | ton | 746179 | 822766 | 786371 | 758143 | 827858 | 96 |
| Wanbang Jinqiao carbon emissions reduction | tons | 2777 | 97 |
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 | Report Pages |
|---|---|---|---|---|---|---|---|
| Antibiotic utilization rate decrease | % | -17.73 | 49 | ||||
| Hazardous waste | tons/year | 2683.2 | 4320.8 | 5914.5 | 126 | ||
| Hazardous waste (Fosun Pharma Group) | tons | 1626.8 | 2396.9 | 2683.2 | 4320.8 | 5914.5 | 104 |
| Hazardous waste (Healthcare services) | tons | 855.6 | 104 | ||||
| Hazardous waste (Medical devices and diagnosis) | tons | 45.7 | 104 | ||||
| Hazardous waste (Pharmaceutical manufacturing and R&D) | tons | 5013.2 | 104 | ||||
| Hazardous waste (Total) | tons | 5914.5 | 104 | ||||
| Hazardous waste (total) | tons | 5914.5 | 104 | ||||
| Hazardous waste intensity | kg/RMB10000 of output value | 1.08 | 1.51 | 1.95 | 126 | ||
| Hazardous waste intensity (Fosun Pharma Group) | kg/RMB10000 of output value | 1.11 | 1.29 | 1.07 | 1.51 | 1.95 | 104 |
| Hazardous waste subject to landfill disposal | tons | 411.1 | 104 | ||||
| Hazardous waste treated in other ways | tons | 129.1 | 104 | ||||
| Number of member enterprises passed clean production certification | enterprises | 13 | 86 | ||||
| Solid waste intensity | kg/RMB10000 | 55.27 | 48 | 34.43 | 25.74 | 16.26 | 84 |
| Total wastewater | tons/year | 7565178 | 7091033 | 6505479 | 126 | ||
| Total wastewater discharge | ton/year | 6785400 | 7315890 | 7565178 | 7091033 | 6505479 | 100 |
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 | 2020 target | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Domestic waste (Healthcare services) | tons | 3623.3 | 104 | |||||
| Domestic waste (Medical devices and diagnosis) | tons | 102.3 | 104 | |||||
| Domestic waste (Pharmaceutical manufacturing and R&D) | tons | 2585.8 | 104 | |||||
| Domestic waste (Total) | tons | 6311.3 | 104 | |||||
| Glass packaging material consumed by Fosun Pharma Group | ton | 11050.5 | 6209.9 | 106 | ||||
| Industrial solid waste (non-hazardous) (Medical devices and diagnosis) | tons | 150.7 | 104 | |||||
| Industrial solid waste (non-hazardous) (Pharmaceutical manufacturing and R&D) | tons | 36909.6 | 104 | |||||
| Industrial solid waste (non-hazardous) (Total) | tons | 37060.2 | 104 | |||||
| Internal recycling rate of packaging materials by Fosun Pharma Group | 0.2% | 106 | ||||||
| Sewage discharge intensity | ton/RMB10000, ton/RMB10000 of output value | 4.64 | 3.95 | 3.04 | 2.48 | 2.15 | 85, 100 | |
| Sewage discharge intensity (actual in 2020) | ton/RMB10000 of output value | 2.15 | 100 | |||||
| Sewage discharge intensity (target for 2020) | ton/RMB10000 of output value | 3.25 | 100 | |||||
| Total solid waste | tons/year | 85796.6 | 73583.6 | 49286 | 126 | |||
| Total solid waste (Fosun Pharma Group) | tons | 80848 | 88967 | 85796.6 | 73538.6 | 49286 | 104 | |
| Total solid waste generated by Group's domestic enterprises | tons | 49286 | 104 | |||||
| Total solid waste intensity | kg/RMB10000 of output value | 34.43 | 25.74 | 16.26 | 38.69 | 104, 126 | ||
| Total solid waste intensity (Fosun Pharma Group) | kg/RMB10000 of output value | 55.27 | 48.01 | 34.36 | 25.74 | 16.26 | 104 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Ammonia nitrogen emission intensity (target for 2020) | kg/RMB10000 of output value | 0.039 | 100 |
| COD emission intensity (target for 2020) | kg/RMB10000 of output value | 0.25 | 100 |
| Carbon emission reduction of energy-saving projects | tons | 7400 | 92 |
| Greenhouse gas emissions reduced | tons | 7399 | 9 |
| NOx emissions reduction compared to 2016 | tons | 308 | 9 |
| SO2 emissions reduction compared to 2016 | tons | 380 | 9 |
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 | 2020 | Report Pages |
|---|---|---|---|
| External recycling rate of packaging materials by Fosun Pharma Group | 96.4% | 106 | |
| Hazardous waste incinerated | tons | 565.2 | 104 |
| Hazardous waste recycled | tons | 91.2 | 104 |
| Industrial solid waste recycled rate | 82% | 104 | |
| VOC removal rate | % | >90 | 102 |
| VOC terminal processing equipment coverage | 100% | 102 |
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 | Report Pages |
|---|---|---|---|---|---|---|---|
| Chemo Biopharm Power consumption in October 2019 | kWh | 700000 | 97 | ||||
| Chemo Biopharm Power consumption in October 2020 | kWh | 500000 | 97 | ||||
| Chemo Biopharm Power consumption in September 2019 | kWh | 600000 | 97 | ||||
| Chemo Biopharm Power consumption in September 2020 | kWh | 400000 | 97 | ||||
| Chemo Biopharm Steam data in October 2019 | Ton | 700 | 97 | ||||
| Chemo Biopharm Steam data in October 2020 | Ton | 500 | 97 | ||||
| Chemo Biopharm Steam data in September 2019 | Ton | 600 | 97 | ||||
| Chemo Biopharm Steam data in September 2020 | Ton | 400 | 97 | ||||
| Comprehensive energy consumption intensity | GJ/RMB10000 | 4.43 | 3.51 | 3.11 | 2.65 | 2.53 | 84 |
| Comprehensive energy intensity | GJ/RMB10000 of output value | 2.53 | 92 | ||||
| Diesel consumption, Fosun Pharma Group | litre | 2131202 | 96 | ||||
| Diesel consumption, Healthcare services | litre | 78886 | 96 | ||||
| Diesel consumption, Medical devices and medical diagnosis | litre | 402462 | 96 | ||||
| Diesel consumption, Pharmaceutical manufacturing and R&D | litre | 1649854 | 96 | ||||
| Direct energy consumption | GJ/year | 3281592 | 3839551 | 4466930 | 4344819 | 26049590 | 96, 126 |
| Energy consumption other than electricity | GJ/year | 5394870 | 5304416 | 126 | |||
| Fuel oil consumption, Fosun Pharma Group | ton | 4111 | 96 | ||||
| Fuel oil consumption, Pharmaceutical manufacturing and R&D | ton | 4111 | 96 | ||||
| Gasoline consumption, Fosun Pharma Group | litre | 487309 | 96 | ||||
| Gasoline consumption, Healthcare services | litre | 143586 | 96 | ||||
| Gasoline consumption, Medical devices and medical diagnosis | litre | 132191 | 96 | ||||
| Gasoline consumption, Pharmaceutical manufacturing and R&D | litre | 211532 | 96 | ||||
| Indirect energy consumption | GJ/year | 2500429 | 2657132 | 2368332 | 3231371 | 5050819 | 96, 126 |
| Liquefied gas consumption, Fosun Pharma Group | kg | 44210 | 96 | ||||
| Liquefied gas consumption, Healthcare services | kg | 2250 | 96 | ||||
| Liquefied gas consumption, Medical devices and medical diagnosis | kg | 5295 | 96 | ||||
| Liquefied gas consumption, Pharmaceutical manufacturing and R&D | kg | 36665 | 96 | ||||
| Natural gas consumption, Fosun Pharma Group | m³ | 18794063 | 96 | ||||
| Natural gas consumption, Healthcare services | m³ | 1250317 | 96 | ||||
| Natural gas consumption, Medical devices and medical diagnosis | m³ | 227510 | 96 | ||||
| Natural gas consumption, Pharmaceutical manufacturing and R&D | m³ | 17316236 | 96 | ||||
| Raw coal consumption, Fosun Pharma Group | ton | 79958 | 96 | ||||
| Raw coal consumption, Pharmaceutical manufacturing and R&D | ton | 79958 | 96 | ||||
| Steam consumption, Fosun Pharma Group | ton | 731881 | 96 | ||||
| Steam consumption, Pharmaceutical manufacturing and R&D | ton | 731881 | 96 | ||||
| Total electricity consumption | kWh/year | 47875186 | 51322112 | 655108860 | 631436019 | 637986028 | 96, 126 |
| Total electricity consumption, Fosun Pharma Group | kWh/year | 637986028 | 96 | ||||
| Total electricity consumption, Healthcare services | kWh/year | 40538437 | 96 | ||||
| Total electricity consumption, Medical devices and medical diagnosis | kWh/year | 15392998 | 96 | ||||
| Total electricity consumption, Pharmaceutical manufacturing and R&D | kWh/year | 582054593 | 96 | ||||
| Total energy consumption | GJ/year | 5581931 | 6496683 | 7753262 | 7576550 | 7655768 | 96, 126 |
| Total energy consumption intensity | GJ/RMB10000 of output value | 4.43 | 3.51 | 3.11 | 2.65 | 2.53 | 96 |
| Total energy intensity | GJ/RMB10000 of output value | 3.11 | 2.65 | 2.53 | 126 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|
| Decrease in total water consumption compared to 2019 | m³ | 146109 | 98 | ||||
| Decrease in total water consumption compared to 2019 (percentage) | % | -1.53 | 98 | ||||
| Decrease in water consumption intensity compared to 2019 | % | -6.9 | 98 | ||||
| Total water consumption | m³/year | 9959415 | 9527927 | 9381818 | 126 | ||
| Total water consumption of Fosun Pharma Group | m³, m³/year | 8769376 | 9515697 | 9959415 | 9527927 | 93818181 | 98, 99 |
| Total water saving | m³ | 282923 | 98 | ||||
| Wastewater discharge intensity | tons/RMB10000 of output value | 3.04 | 2.48 | 2.15 | 126 | ||
| Water consumption intensity | m³/RMB10000, m³/RMB10000 of output value, m³/RMB10000 of output value (target for 2020), m³/year | 5.99 | 5.14 | 3.99 | 3.33 | 3.1 | 84, 98, 126 |
| Water consumption intensity of Fosun Pharma Group | m³/RMB10000 of output value | 5.99 | 5.14 | 3.99 | 3.33 | 3.1 | 99 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Aohong Pharma electricity saved through air compressor optimization | kWh | 228600 | 97 |
| Aohong Pharma natural gas saved by water recycling | tons | 4623 | 97 |
| Aohong Pharma water saved by water recycling | m³ | 5590 | 97 |
| Electricity saved | million kWh | 7.13 | 9 |
| Guilin Pharma natural gas saved | m³ | 566000 | 97 |
| Natural gas saved | thousand cubic meters | 950 | 9 |
| Percentage of total water consumption saved by cooling tower water charging (Fosun Pharma Group) | 6.54% | 99 | |
| Wanbang Jinqiao steam consumption reduction in workshop | tons | 5000 | 97 |
| Water charging amount of cooling tower saved (Fosun Pharma Group) | tons | 613619 | 99 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Total sewage discharge decrease compared with 2016 | tons | 279921 | 100 |
| Total sewage discharge percentage decrease compared with 2016 | -4.1% | 100 | |
| Water-saving volume - Aleph | 10000 m³ | 0.12 | 98 |
| Water-saving volume - Aohong Pharma | 10000 m³ | 0.642 | 98 |
| Water-saving volume - Carelife Pharma | 10000 m³ | 2.556 | 98 |
| Water-saving volume - Chemio Biopharm | 10000 m³ | 0.7 | 98 |
| Water-saving volume - Eye Pharma | 10000 m³ | 0.464 | 98 |
| Water-saving volume - Foshan Chancheng Central Hospital | 10000 m³ | 5.1 | 98 |
| Water-saving volume - Gland Pharma | 10000 m³ | 2.044 | 98 |
| Water-saving volume - Guilin Pharma | 10000 m³ | 1.729 | 98 |
| Water-saving volume - Hexin Pharma | 10000 m³ | 0.26 | 98 |
| Water-saving volume - Hongqi Pharma | 10000 m³ | 1.634 | 98 |
| Water-saving volume - Huanghe Pharma | 10000 m³ | 0.228 | 98 |
| Water-saving volume - Laishi Transfusion | 10000 m³ | 0.5 | 98 |
| Water-saving volume - Shanghai Henlius | 10000 m³ | 5.261 | 98 |
| Water-saving volume - Wanbang Jinqiao | 10000 m³ | 4.872 | 98 |
| Water-saving volume - Wanbang Pharma | 10000 m³ | 0.375 | 98 |
| Water-saving volume - Yaopharma | 10000 m³ | 0.1 | 98 |
| Water-saving volume - Zhaohai Pharma | 10000 m³ | 1.387 | 98 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Decrease in packaging materials consumption compared to 2019 | ton | -3375 | 106 | |
| Metal packaging material consumed by Fosun Pharma Group | ton | 468.4 | 352.7 | 106 |
| Others packaging material consumed by Fosun Pharma Group | ton | 68.4 | 66.4 | 106 |
| Packaging materials recycled externally by Fosun Pharma Group | ton | 19519 | 106 | |
| Packaging materials recycled for internal use by Fosun Pharma Group | ton | 46.5 | 106 | |
| Paper packaging material consumed by Fosun Pharma Group | ton | 10999.9 | 8550.1 | 106 |
| Plastic packaging material consumed by Fosun Pharma Group | ton | 2715.3 | 1841 | 106 |
| Rubber packaging material consumed by Fosun Pharma Group | ton | 854 | 468.1 | 106 |
| Total consumption of packaging materials by Fosun Pharma Group | ton | 20237 | 106 | |
| Wood packaging material consumed by Fosun Pharma Group | ton | 181 | 2.24 | 106 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|
| Environmental protection investment | RMB'0000 | 3.346 | 7.348 | 15.952 | 12.483 | 12.079 | 88 |
| Investment in environmental protection | RMB'000, RMB/10000 | 3346 | 7348 | 15952 | 12483 | 1079 | 84, 126 |
| OPEX lean projects annual saving | million RMB | 51.45 | 9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Employment rate of ethnic minority employees | % | 2.03 | 3.57 | 2.9 | 125 |
| Employment rate of people with disabilities | % | 0.23 | 0.24 | 0.22 | 125 |
| Group CMI (Case Mix Index) increase | % | 9.54 | 49 | ||
| Labor contract conclusion rate | 100% | 100% | 100% | 125 | |
| Number of R&D staff | 1797 | 2147 | 2258 | 125 | |
| Number of beds in member hospitals of Fosun Healthcare Group | 4610 | 9 | |||
| Number of disabled employees | 74 | 72 | 71 | ||
| Number of employees aged 16-20 | 140 | 50 | 29 | 65 | |
| Number of employees aged 30-40 | 9768 | 9975 | 9828 | 65 | |
| Number of employees aged 40-50 | 9964 | 11439 | 12584 | 65 | |
| Number of employees aged 50-55 | 5886 | 6441 | 6383 | 65 | |
| Number of employees aged 55-60 | 1486 | 1894 | 1953 | 65 | |
| Number of employees aged above 60 | 711 | 1337 | 1118 | 65 | |
| Number of employees in Central China | 3853 | 4081 | 4718 | 65 | |
| Number of employees in Eastern China | 11094 | 12590 | 10637 | 65 | |
| Number of employees in Northern China | 280 | 292 | 1249 | 65 | |
| Number of employees in Northwest China | 1869 | 2584 | 2540 | 65 | |
| Number of employees in Southern China | 4812 | 4929 | 5570 | 65 | |
| Number of employees in Southwest China | 1293 | 1629 | 1879 | 65 | |
| Number of employees overseas | 4864 | 5326 | 5253 | 65 | |
| Number of employees with doctor degree | 328 | 350 | 411 | 65 | |
| Number of employees with junior college education | 7183 | 8236 | 8516 | 65 | |
| Number of employees with master degree | 2922 | 3312 | 3613 | 65 | |
| Number of employees with secondary school education and below | 8675 | 9230 | 8389 | 65 | |
| Number of employees with undergraduate degree | 9137 | 10425 | 11329 | 65 | |
| Number of ethnic minority employees | 574 | 1114 | 934 | 125 | |
| Number of female employees | 14703 | 15461 | 71 | ||
| Number of minority employees | 1114 | 934 | 71 | ||
| Proportion of disabled employees | 0.24% | 0.22% | 71 | ||
| Proportion of female employees | 47.12% | 47.93% | 71 | ||
| Proportion of minority employees | 3.57% | 2.90% | 71 | ||
| Total number of employees | person | 28245 | 31370 | 32258 | 64, 125 |
| Total number of employees by age group | 28445 | 31770 | 32258 | 65 | |
| Total number of employees by education | 28245 | 31770 | 32258 | 65 | |
| Total number of employees with master and doctor degrees | 3250 | 3662 | 4024 | 125 | |
| Total number of female employees | person | 13273 | 14830 | 15461 | 64, 125 |
| Total number of male employees | person | 14972 | 16540 | 16797 | 64, 125 |
| Union coverage rate | 100% | 100% | 100% | 125 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Ration of female employee returning to work and job positions retained till after the completion of the maternity leave | 100% | 100% | 100% | 125 | |
| Staff loss rate | 17.69% | 16.13% | 15.40% | 71 | |
| Staff outflow rate | 21.22% | 17.70% | 18.76% | 71 |
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 | Report Pages |
|---|---|---|---|---|---|---|---|
| Loss time injury rate per million man-hour | 0.226 | 0.343 | 0.313 | 126 | |||
| Major injury case rate, Pharmaceutical manufacturing and R&D | 0.047 | 74 | |||||
| Major injury case rate, Total | 0.033 | 74 | |||||
| Major injury rate | per million man-hour | 0.22 | 0.039 | 0.038 | 0.033 | 74 | |
| Minor injury case rate, Healthcare services | 0.407 | 74 | |||||
| Minor injury case rate, Pharmaceutical manufacturing and R&D | 0.281 | 74 | |||||
| Minor injury case rate, Total | 0.28 | 74 | |||||
| Minor injury rate | per million man-hour | 0.36 | 0.385 | 0.188 | 0.343 | 0.28 | 74 |
| Number of recordable incident, Healthcare services | 7 | 74 | |||||
| Number of recordable incident, Pharmaceutical manufacturing and R&D | 23 | 74 | |||||
| Number of recordable incident, Total | 30 | 74 | |||||
| Occupational hazard exposure rate | 12.34% | 12.66% | 12.33% | 126 | |||
| Recordable incident rate | per million man-hour | 1.05 | 0.915 | 0.433 | 0.395 | 0.494 | 74 |
| Recordable incident rate, Healthcare services | 0.569 | 74 | |||||
| Recordable incident rate, Pharmaceutical manufacturing and R&D | 0.538 | 74 | |||||
| Recordable incident rate, Total | 0.494 | 74 | |||||
| Recordable injury rate per million man-hour | 0.433 | 0.395 | 0.494 | 126 |
Lost days due to work injury.
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|
| Lost time injury rate | per million man-hour | 0.58 | 0.415 | 0.226 | 0.343 | 0.313 | 74 |
| Lost time injury rate, Healthcare services | 0.407 | 74 | |||||
| Lost time injury rate, Pharmaceutical manufacturing and R&D | 0.328 | 74 | |||||
| Lost time injury rate, Total | 0.313 | 74 | |||||
| Lost time, Healthcare services | hours | 112 | 74 | ||||
| Lost time, Pharmaceutical manufacturing and R&D | hours | 684 | 74 | ||||
| Lost time, Total | hours | 796 | 74 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|
| Average hospital stay decrease | % | -1.53 | 49 | ||||
| Investment in health and safety | RMB'000 | 3843 | 5801 | 6186 | 126 | ||
| Number of member enterprises completed exchange of certification from OHSAS18001 to ISO45001 | enterprises | 4 | 86 | ||||
| Number of member enterprises passed third-party certification of ISO14001 and/or OHSAS18001 system | enterprises | 14 | 86 | ||||
| Number of member enterprises passed third-party review of national safety production standardization | enterprises | 21 | 86 | ||||
| Preventive antibiotics for Class I incisions decrease | % | -17.5 | 49 | ||||
| Safety investment | RMB'0000 | 3.155 | 3.919 | 3.843 | 5.801 | 6.186 | 88 |
| Total EHS training hours | hours | 237572 | 404227 | 434130 | 126 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of OPEX lean projects | 325 | 9 | |||
| R&D expenditure as percentage of sales revenue of pharmaceutical business | 11.28% | 33 | |||
| R&D expenditures YoY increase | % | 15.59 | 9 | ||
| R&D expenditures for 2020 (including capitalized expenditures) | billion RMB | 4.003 | 9 | ||
| R&D expense | RMB100 million | 10.26 | 20.41 | 27.95 | 33 |
| R&D investment (including capitalized investment expense) | RMB100 million | 25.06 | 34.63 | 40.03 | 33 |
| R&D investment (including capitalized investment expenses) | RMB100 million | 25.07 | 34.63 | 40.03 | 125 |
| R&D investment in pharmaceutical manufacturing segment | RMB billion | 3.67 | 33 | ||
| Training for Senior Management - Number of trainees | person | 376 | 1193 | 482 | 67 |
| Training for Senior Management - Total training time | hour | 15412 | 33356 | 20712 | 67 |
| Training for employees other than senior management - Number of trainees | person | 25144 | 30012 | 30260 | 67 |
| Training for employees other than senior management - Total training time | hour | 839581 | 960008 | 646849 | 67 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average Training Hours Per Person - All employees | hours/person | 34 | 31 | 21 | 67 |
| Average Training Hours Per Person - Female employees | hours/person | 37 | 28 | 20 | 67 |
| Average Training Hours Per Person - Male employees | hours/person | 32 | 34 | 21 | 67 |
| EHS training hours per employee | hours | 9.42 | 14.65 | 14.99 | 126 |
| EHS training times per employee | times | 2.5 | 2.5 | 5.47 | 126 |
| Total Training Expenses | RMB'000 | 993 | 1480 | 904 | 67 |
| Total training hours | man-hour | 854993 | 993364 | 667561 | 125 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of suppliers in Anhui (Domestic Member Enterprises of Fosun Pharma) | 108 | 59 | |
| Number of suppliers in Beijing (Domestic Member Enterprises of Fosun Pharma) | 148 | 59 | |
| Number of suppliers in Chongqing (Domestic Member Enterprises of Fosun Pharma) | 117 | 59 | |
| Number of suppliers in Foreign suppliers (Domestic Member Enterprises of Fosun Pharma) | 308 | 59 | |
| Number of suppliers in Fujian (Domestic Member Enterprises of Fosun Pharma) | 34 | 59 | |
| Number of suppliers in Gansu (Domestic Member Enterprises of Fosun Pharma) | 13 | 59 | |
| Number of suppliers in Guangdong (Domestic Member Enterprises of Fosun Pharma) | 379 | 59 | |
| Number of suppliers in Guangxi (Domestic Member Enterprises of Fosun Pharma) | 71 | 59 | |
| Number of suppliers in Guizhou (Domestic Member Enterprises of Fosun Pharma) | 6 | 59 | |
| Number of suppliers in Hainan (Domestic Member Enterprises of Fosun Pharma) | 13 | 59 | |
| Number of suppliers in Hebei (Domestic Member Enterprises of Fosun Pharma) | 158 | 59 | |
| Number of suppliers in Heilongjiang (Domestic Member Enterprises of Fosun Pharma) | 21 | 59 | |
| Number of suppliers in Henan (Domestic Member Enterprises of Fosun Pharma) | 56 | 59 | |
| Number of suppliers in Hong Kong, Macao, Taiwan (Domestic Member Enterprises of Fosun Pharma) | 10 | 59 | |
| Number of suppliers in Hubei (Domestic Member Enterprises of Fosun Pharma) | 82 | 59 | |
| Number of suppliers in Hunan (Domestic Member Enterprises of Fosun Pharma) | 201 | 59 | |
| Number of suppliers in Inner Mongolia (Domestic Member Enterprises of Fosun Pharma) | 16 | 59 | |
| Number of suppliers in Jiangsu (Domestic Member Enterprises of Fosun Pharma) | 611 | 59 | |
| Number of suppliers in Jilin (Domestic Member Enterprises of Fosun Pharma) | 30 | 59 | |
| Number of suppliers in Liaoning (Domestic Member Enterprises of Fosun Pharma) | 45 | 59 | |
| Number of suppliers in Ningxia (Domestic Member Enterprises of Fosun Pharma) | 8 | 59 | |
| Number of suppliers in Qinghai (Domestic Member Enterprises of Fosun Pharma) | 5 | 59 | |
| Number of suppliers in Shaanxi (Domestic Member Enterprises of Fosun Pharma) | 23 | 59 | |
| Number of suppliers in Shandong (Domestic Member Enterprises of Fosun Pharma) | 237 | 59 | |
| Number of suppliers in Shanghai (Domestic Member Enterprises of Fosun Pharma) | 668 | 59 | |
| Number of suppliers in Shanxi (Domestic Member Enterprises of Fosun Pharma) | 27 | 59 | |
| Number of suppliers in Sichuan (Domestic Member Enterprises of Fosun Pharma) | 99 | 59 | |
| Number of suppliers in Tianjin (Domestic Member Enterprises of Fosun Pharma) | 59 | 59 | |
| Number of suppliers in Tibet (Domestic Member Enterprises of Fosun Pharma) | 4 | 59 | |
| Number of suppliers in Xinjiang (Domestic Member Enterprises of Fosun Pharma) | 15 | 59 | |
| Number of suppliers in Yunnan (Domestic Member Enterprises of Fosun Pharma) | 13 | 59 | |
| Number of suppliers in Zhejiang (Domestic Member Enterprises of Fosun Pharma) | 277 | 59 | |
| Number of suppliers involved in business for the year (Aleph) | 24 | 59 | |
| Number of suppliers involved in business for the year (Aohong Pharma) | 44 | 59 | |
| Number of suppliers involved in business for the year (Erye Pharma) | 131 | 59 | |
| Number of suppliers involved in business for the year (Guilin Pharma) | 158 | 59 | |
| Number of suppliers involved in business for the year (Hongqi Pharma) | 116 | 59 | |
| Number of suppliers involved in business for the year (Shanghai Henlius) | 34 | 59 | |
| Number of suppliers involved in business for the year (Wanbang Pharma) | 958 | 59 | |
| Number of suppliers involved in business for the year (Yaopharma) | 449 | 59 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of consistency evaluation projects | 42 | 33 | |
| Number of suppliers under annual review (Aleph) | 24 | 59 | |
| Number of suppliers under annual review (Aohong Pharma) | 44 | 59 | |
| Number of suppliers under annual review (Erye Pharma) | 113 | 59 | |
| Number of suppliers under annual review (Guilin Pharma) | 158 | 59 | |
| Number of suppliers under annual review (Hongqi Pharma) | 84 | 59 | |
| Number of suppliers under annual review (Shanghai Henlius) | 34 | 59 | |
| Number of suppliers under annual review (Wanbang Pharma) | 888 | 59 | |
| Number of suppliers under annual review (Yaopharma) | 325 | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Aleph) | 100.0% | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Aohong Pharma) | 100.0% | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Erye Pharma) | 86.3% | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Guilin Pharma) | 100.0% | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Hongqi Pharma) | 72.4% | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Shanghai Henlius) | 100.0% | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Wanbang Pharma) | 92.7% | 59 | |
| Number of suppliers under annual review / Number of suppliers involved in business for the year (Yaopharma) | 72.4% | 59 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| EU certification - APIs | APIs | 3 | 41 |
| EU certification - aseptic production lines | production lines | 2 | 41 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average satisfaction of outpatients and inpatients in member hospitals of Fosun Healthcare Group | % | 95 | 9 | ||
| Inpatient satisfaction - Foshan Chancheng Central Hospital | % | 98.6 | 49 | ||
| Inpatient satisfaction - Jimin Cancer Hospital | % | 95.3 | 49 | ||
| Inpatient satisfaction - Shenzhen Hengsheng | % | 95.2 | 49 | ||
| Inpatient satisfaction - Suqian Zhongwu | % | 96.8 | 49 | ||
| Inpatient satisfaction - Wenzhou Geriatrics | % | 96.7 | 49 | ||
| Inpatient satisfaction - Wuhan Jihe | % | 96.1 | 49 | ||
| Inpatient satisfaction - Yueyang Guangji | % | 94.2 | 49 | ||
| Number of generic drug projects | 121 | 33 | |||
| Number of projects on innovative drugs, generic drugs, biosimilars and consistency evaluation at end of 2020 | 247 | 9 | |||
| Outpatient satisfaction - Foshan Chancheng Central Hospital | % | 94.8 | 49 | ||
| Outpatient satisfaction - Shenzhen Hengsheng | % | 90.4 | 49 | ||
| Outpatient satisfaction - Suqian Zhongwu | % | 96.8 | 49 | ||
| Outpatient satisfaction - Wenzhou Geriatrics | % | 98.2 | 49 | ||
| Outpatient satisfaction - Wuhan Jihe | % | 95 | 49 | ||
| Outpatient satisfaction - Yueyang Guangji | % | 97.8 | 49 | ||
| Percentage of Class IV surgical patients increase | % | 19.53 | 49 | ||
| Revenue for 2020 | billion RMB | 30.307 | 9 | ||
| Revenue from healthcare services segment | RMB'0000 | 256296.75 | 303992.27 | 317245.91 | 12 |
| Revenue from medical devices and medical diagnosis segment | RMB'0000 | 363886.91 | 373581.15 | 521723.03 | 12 |
| Revenue from pharmaceutical manufacturing | RMB'0000 | 1866134.51 | 2176587.34 | 2188022.46 | 12 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| China GMP certification - APIs | APIs | 67 | 41 | ||
| China GMP certification - oral dosage production lines | production lines | 38 | 41 | ||
| China GMP certification - sterile preparation production lines | production lines | 34 | 41 | ||
| Japan PMDA certification - APIs | APIs | 3 | 41 | ||
| Number of biosimilar projects | 19 | 33 | |||
| Number of licence-in innovative drug projects | 13 | 33 | |||
| Number of patent application | 84 | 136 | 176 | 125 | |
| Number of patents granted | 25 | 47 | 70 | 125 | |
| Number of pipeline projects (innovative drugs, generic drugs, biosimilars, consistency evaluation) | 247 | 33 | |||
| Number of self-developed biopharmaceutical innovative drug projects | 25 | 33 | |||
| Number of self-developed small-molecule innovative drug projects | 18 | 33 | |||
| US FDA certification - APIs | APIs | 13 | 41 | ||
| US FDA certification - production lines of oral solid formation | production lines | 2 | 41 | ||
| WHO certification - APIs | APIs | 4 | 41 | ||
| WHO certification - injection production lines | production lines | 4 | 41 | ||
| WHO certification - production line of oral solid formation | production line | 1 | 41 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| CE product certification - domestic medical devices and medical diagnosis subsidiaries | enterprises with several products passed | 6 | 41 |
| ISO 13485:2016 certification - domestic medical devices and medical diagnosis subsidiaries | enterprises passed | 9 | 41 |
| ISO9001:2015 certification - domestic medical devices and medical diagnosis subsidiaries | enterprises passed | 3 | 41 |
| Number of innovative drug projects | 56 | 33 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Under investigation items | items | 215 | 264 | 247 | 125 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Tax payment | RMB'0000 | 269005 | 253276.76 | 248578.22 | 12 |
| Tax payment in 2020 | billion RMB | 2.486 | 9 | ||
| Total investment in targeted poverty alleviation in 2020 | million RMB | 11 | 9 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of children under 5 saved by artesunate for injection | most | 9 | |||
| Number of patients saved by artesunate for injection (innovative drug) | 30000000 | 9 | |||
| Revenue | RMB'0000 | 2491827.36 | 2588515.2 | 3030698.13 | 12 |
| Social contribution per share | RMB | 3.97 | 4.59 | 4.83 | 125 |
| Total donation to society in 2020 | million RMB | 40.38 | 9 | ||
| Value of drugs donated in Rural Doctor Poverty Alleviation Project | million RMB | 3 | 9 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | ton/year | 19 | 41 | 44 | 36 | 37 |
| NOâ‚“ Emissions | ton/year | 466 | 239 | 251 | 258 | 158 |
| SOâ‚“ Emissions | ton/year | 485 | 245 | 279 | 134 | 105 |
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 |
|---|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | ton | 288447 | 338285 | 397106 | 381580 | 225622 |
| Indirect Energy Emissions (Scope 2) | ton | 457732 | 484501 | 389265 | 376563 | 602236 |
| Total GHG Emissions | ton | 746179 | 822766 | 786371 | 758143 | 827858 |
| Total GHG Emissions Intensity (By Revenue) | ton/RMB10000 | 0.6 | 0.54 | 0.41 | 0.35 | 0.27 |
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 |
|---|---|---|---|---|---|---|
| Hazardous Waste (Other Recovery) | tons | 129.1 | ||||
| Hazardous Waste Landfilling | tons | 411.1 | ||||
| Total Hazardous Waste | tons | 1626.8 | 2396.9 | 2683.2 | 4320.8 | 5914.5 |
| Total Hazardous Waste Intensity (By Revenue) | kg/RMB10000 of output value | 1.11 | 1.29 | 1.08 | 1.51 | 1.95 |
Total non-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 | 2020 target |
|---|---|---|---|---|---|---|---|
| Glass Waste | ton | 11050.5 | 6209.9 | ||||
| Non-Hazardous Waste (Domestic Waste) | tons | 6311.3 | |||||
| Non-Hazardous Waste Disposed | tons | 80848 | 88967 | 85796.6 | 73538.6 | 36909.6 | |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg/RMB10000 | 55.27 | 48.01 | 34.43 | 25.74 | 16.26 | 38.69 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tons | 7399 |
| NOx Emissions Reduction Compared to Last Year | tons | 308 |
| SO2 Emissions Reduction Compared to Last Year | tons | 380 |
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 |
|---|---|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | GJ/RMB10000 | 4.43 | 3.51 | 3.11 | 2.65 | 2.53 |
| Diesel Fuel Consumption | litre | 78886 | ||||
| Energy Consumption Intensity (By Revenue) | GJ/RMB10000 | 4.43 | 3.51 | 3.11 | 2.65 | 2.53 |
| Fossil Fuel Consumption | ton | 731881 | ||||
| Gasoline Consumption | litre | 211532 | ||||
| LPG Consumption | kg | 44210 | ||||
| Natural Gas Consumption | m³ | 18794063 | ||||
| Purchased Electricity | kWh/year | 47875186 | 51322112 | 655108860 | 63146910 | 40538437 |
| Purchased Steam | ton | 731881 | ||||
| Total Direct Energy Consumption | GJ/year | 3281592 | 3839551 | 4466930 | 4344819 | 26049590 |
| Total Energy Consumption | GJ/year | 5581931 | 6496683 | 7753262 | 7575550 | 76557678 |
| Total Indirect Energy Consumption | GJ/year | 2500429 | 2657132 | 2368332 | 3231371 | 5050819 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|
| Total Water Withdrawal | m³/year | 8769376 | 9515697 | 9959415 | 9527927 | 9381818 |
| Wastewater Discharge Intensity | tons/RMB10000 | 3.04 | 2.48 | 2.15 | ||
| Water Consumption | m³/year | 8769376 | 9515697 | 9959415 | 9527927 | 9381818 |
| Water Consumption Intensity (By Revenue) | m³/RMB10000 | 5.99 | 5.14 | 3.99 | 3.33 | 3.1 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 228600 |
| Steam Usage Reduction Compared to Last Year | tons | 5000 |
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 | 2020 |
|---|---|---|
| Wastewater Reduction Compared to Last Year | tons | 279921 |
| Wastewater Reduction Percentage Compared to Last Year | % | -4.1 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Packaging Material Consumption (Metal) | ton | 468.4 | 352.7 |
| Packaging Material Consumption (Paper) | ton | 10999.9 | 8550.1 |
| Packaging Material Consumption (Plastic) | ton | 2715.3 | 1841 |
| Packaging Material Consumption (Rubber) | ton | 854 | 468.1 |
| Packaging Material Savings | ton | 3375 | |
| Packaging Materials Consumed | ton | 14886 | 20237 |
| Packaging Materials Waste Recycled | ton | 19565.5 | |
| Usage of Packaging Materials (Wood) | ton | 181 | 2.24 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|
| Total Investment in Ecological Restoration | RMB | 3346000 | 7348000 | 15952000 | 12483000 | 12078600 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Bachelor's Degree Employees | person | 9137 | 10425 | 11329 |
| Number of Below Junior College Employees | person | 8675 | 9230 | 8389 |
| Number of Doctoral Degree Employees | person | 328 | 350 | 411 |
| Number of Employees Aged 30-50 | person | 19732 | 21414 | 22412 |
| Number of Employees Aged Above 50 | person | 8083 | 9916 | 9837 |
| Number of Employees Aged Below 30 | person | 140 | 50 | 29 |
| Number of Employees in Central China | person | 3853 | 4081 | 4718 |
| Number of Employees in East China | person | 11094 | 12590 | 10637 |
| Number of Employees in North China | person | 280 | 292 | 1249 |
| Number of Employees in Northwest China | person | 1869 | 2584 | 2540 |
| Number of Employees in Overseas | person | 4864 | 5326 | 5253 |
| Number of Employees in South China | person | 4812 | 4929 | 5570 |
| Number of Employees in Southwest China | person | 1293 | 1629 | 1879 |
| Number of Female Employees | person | 13273 | 14830 | 15461 |
| Number of Male Employees | person | 14972 | 16540 | 16797 |
| Number of Master's Degree Employees | person | 2922 | 3312 | 3613 |
| Number of Total Employees | person | 28245 | 31370 | 32258 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 100 | 100 | 100 |
| Turnover Rate of Total Employees | % | 17.69 | 16.13 | 15.4 |
Lost days due to work injury.
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | hours | 796 | ||||
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | per million man-hour | 0.58 | 0.415 | 0.226 | 0.343 | 0.313 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|
| Investment in Work Safety | RMB'000 | 31550 | 39190 | 3843 | 5801 | 6186 |
| Total Hours of Safety Training for Employees | hours | 237572 | 404227 | 434130 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Percentage of Trained General Employees | proportion | 1 | 1 | 1 |
| Percentage of Trained Senior Management | proportion | 1 | 1 | 1 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours/person | 37 | 28 | 20 |
| Average Training Hours (Male) | hours/person | 32 | 34 | 21 |
| Average Training Hours per Employee | hours/person | 34 | 31 | 21 |
| Total Training Hours | man-hour | 854993 | 993364 | 667561 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Suppliers in Hong Kong | 10 | |
| Number of Suppliers in Mainland China | 3182 | |
| Number of Suppliers in Overseas | 308 | |
| Number of Total Suppliers | 3500 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Patents Applied | 84 | 136 | 176 | |
| Number of Patents Granted | 25 | 47 | 70 |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Corruption Litigation | items | 215 | 264 | 247 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | million RMB | 3 |
| Total Public Welfare Donations | million RMB | 40.38 |
| Total Social Investment | million RMB | 40.38 |