2024 ESG Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Ammonia nitrogen (NH3-N) Discharge - Chengdu Regional Hospitals | mg/L | 10.17 | 31 | ||
| Ammonia nitrogen (NH3-N) Discharge - Greater Bay Area Regional Hospitals | mg/L | 2.77 | 31 | ||
| Ammonia nitrogen (NH3-N) Discharge - Kunming & Wuhan Regional Hospitals | mg/L | 13.97 | 31 | ||
| Ammonia nitrogen (NH₃-N) Discharge | mg/L | 8.01 | 4.76 | 5.43 | 32 |
| Biochemical oxygen demand (BOD) emissions | mg/L | 9.53 | 9.03 | 18.11 | 32 |
| Biochemical oxygen demand (BOD) emissions - Chengdu Regional Hospitals | mg/L | 5.6 | 31 | ||
| Biochemical oxygen demand (BOD) emissions - Kunming & Wuhan Regional Hospitals | mg/L | 9.31 | 31 | ||
| Chemical oxygen demand (COD) Discharge - Chengdu Regional Hospitals | mg/L | 73.85 | 31 | ||
| Chemical oxygen demand (COD) Discharge - Greater Bay Area Regional Hospitals | mg/L | 2.89 | 31 | ||
| Chemical oxygen demand (COD) Discharge - Kunming & Wuhan Regional Hospitals | mg/L | 19.83 | 31 | ||
| Chemical oxygen demand (COD) discharge | mg/L | 78.02 | 89.07 | 51.34 | 32 |
| Nitrogen oxides (NOx) emissions - Chengdu Regional Hospitals | Kg | 105.04 | 31 | ||
| Nitrogen oxides (NOₓ) emissions | kg | 105.12 | 188.06 | 105.04 | 32 |
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 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| GHG emissions per unit revenue | tCO₂e/RMB10000 | 0.059 | 0.043 | 0.036 | 32 | |
| Intensity of Greenhouse Gas Emission | % decrease compared to 2020, % reduction in greenhouse gas emissions (Scope 1 and Scope 2) per RMB 1 million of operating revenue | 27.62 | 28.03 | 34 | 29 | |
| Scope 1 GHG emissions | tCO₂e | 1457.98 | 1275.41 | 1017.04 | 32 | |
| Scope 2 GHG emissions | tCO₂e | 1211837.19 | 1088364.47 | 934892.92 | 32 | |
| Total GHG emissions | tCO₂e | 2013576.35 | 1211411.6 | 1036596.96 | 32 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Hazardous Waste - Chengdu Regional Hospitals | Ton | 256.38 | 31 | |||
| Hazardous Waste - Greater Bay Area Regional Hospitals | Ton | 63.84 | 31 | |||
| Hazardous Waste - Kunming & Wuhan Regional Hospitals | Ton | 74.08 | 31 | |||
| Hazardous waste discharge per unit revenue | Ton/RMB 10000 | 0.0023 | 0.0011 | 0.0014 | 32 | |
| Intensity of Hazardous Waste Production | % decrease compared to 2020, % reduction in hazardous waste per RMB 1 million of operating revenue | 42.54 | 29.36 | 40 | 29 | |
| Suspended solids (SS) discharge | mg/L | 10.84 | 11.56 | 15.16 | 32 | |
| Suspended solids (SS) discharge - Chengdu Regional Hospitals | mg/L | 7.71 | 31 | |||
| Suspended solids (SS) discharge - Greater Bay Area Regional Hospitals | mg/L | 30.11 | 31 | |||
| Suspended solids (SS) discharge - Kunming & Wuhan Regional Hospitals | mg/L | 10.84 | 31 | |||
| Total discharge of hazardous waste | Ton | 326.5 | 320.28 | 294.36 | 32 | |
| Total emission of medical waste | Ton | 524.85 | 319.08 | 393.05 | 32 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Non-Hazardous Waste - Chengdu Regional Hospitals | Ton | 881.92 | 31 | ||
| Non-Hazardous Waste - Greater Bay Area Regional Hospitals | Ton | 963.64 | 31 | ||
| Non-Hazardous Waste - Kunming & Wuhan Regional Hospitals | Ton | 222.39 | 31 | ||
| Non-hazardous waste discharge per unit revenue | Ton/RMB 10000 | 0.0094 | 0.0074 | 0.0072 | 32 |
| Total discharge of non-hazardous waste | Ton | 2171.89 | 2057.31 | 2040.91 | 32 |
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 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Diesel Usage by Owned Vehicles - Chengdu Regional Hospitals | Liters | 9402.85 | 30 | |||
| Diesel Usage by Owned Vehicles - Greater Bay Area Regional Hospitals | Liters | 739 | 30 | |||
| Diesel Usage by Owned Vehicles - Kunming & Wuhan Regional Hospitals | Liters | 1481.51 | 30 | |||
| Diesel usage by owned vehicles | L | 18539.18 | 9182.26 | 11623.36 | 32 | |
| Electricity Consumption - Chengdu Regional Hospitals | MWh | 13157.87 | 30 | |||
| Electricity Consumption - Greater Bay Area Regional Hospitals | MWh | 2834.96 | 30 | |||
| Electricity Consumption - Kunming & Wuhan Regional Hospitals | MWh | 1429.69 | 30 | |||
| Electricity consumption | MWh | 21249.12 | 19010.34 | 17422.52 | 32 | |
| Gasoline Usage by Owned Vehicles - Chengdu Regional Hospitals | Liters | 11990.34 | 30 | |||
| Gasoline Usage by Owned Vehicles - Greater Bay Area Regional Hospitals | Liters | 8220 | 30 | |||
| Gasoline Usage by Owned Vehicles - Kunming & Wuhan Regional Hospitals | Liters | 22896.01 | 30 | |||
| Gasoline usage by owned vehicles | L | 68824.41 | 32788.49 | 43106.35 | 32 | |
| Intensity of Energy Consumption | % decrease compared to 2020, % decrease in energy consumption per RMB 1 million of operating revenue | 18.89 | 27.19 | 34 | 29 | |
| Natural Gas Consumption - Chengdu Regional Hospitals | m³ | 368553.35 | 30 | |||
| Natural Gas Consumption - Greater Bay Area Regional Hospitals | m³ | 16913 | 30 | |||
| Natural Gas Consumption - Kunming & Wuhan Regional Hospitals | m³ | 21415.8 | 30 | |||
| Natural gas consumption | m³ | 586601 | 508484.51 | 408162.15 | 32 | |
| Total energy consumption | MWh | 28166.33 | 24882.07 | 22331.87 | 32 | |
| Total energy consumption per unit of operating revenue | MWh/RMB 10000 | 0.12 | 0.09 | 0.08 | 32 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Discharge of domestic wastewater | m³ | 61791 | 60190.8 | 59069.04 | 32 | |
| Discharge of domestic wastewater - Chengdu Regional Hospitals | m³ | 11200.86 | 31 | |||
| Discharge of domestic wastewater - Greater Bay Area Regional Hospitals | m³ | 29635.2 | 31 | |||
| Discharge of domestic wastewater - Kunming & Wuhan Regional Hospitals | m³ | 18412.98 | 31 | |||
| Discharge of medical wastewater | m³ | 159980.6 | 160169.09 | 159617.58 | 32 | |
| Discharge of medical wastewater - Chengdu Regional Hospitals | m³ | 127811.85 | 31 | |||
| Discharge of medical wastewater - Greater Bay Area Regional Hospitals | m³ | 12045 | 31 | |||
| Discharge of medical wastewater - Kunming & Wuhan Regional Hospitals | m³ | 18756.78 | 31 | |||
| Intensity of Water Consumption | % decrease compared to 2020, % reduction in water consumption per RMB 1 million of operating revenue | 21.91 | 24.50 | 20 | 29 | |
| Water Consumption - Chengdu Regional Hospitals | m³ | 139377.94 | 31 | |||
| Water Consumption - Greater Bay Area Regional Hospitals | m³ | 34149 | 31 | |||
| Water Consumption - Kunming & Wuhan Regional Hospitals | m³ | 41041 | 31 | |||
| Water consumption | m³ | 228500 | 219575.94 | 214567.94 | 32 | |
| Water consumption per unit of operating revenue | Ton/RMB 10000 | 0.99 | 0.79 | 0.76 | 32 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of employees aged 30-50 | Person | 1702 | 1795 | 2010 | 33 |
| Number of employees aged over 50 years old | Person | 228 | 245 | 252 | 33 |
| Number of employees aged under 30 | Person | 1168 | 1233 | 936 | 33 |
| Number of employees at middle management level | Person | 269 | 288 | 304 | 33 |
| Number of employees at senior management level | Person | 42 | 50 | 65 | 33 |
| Number of employees in Hong Kong, Macao, Taiwan, and overseas | Person | 268 | 260 | 372 | 33 |
| Number of employees in Mainland China | Person | 2890 | 3013 | 2826 | 33 |
| Number of employees in other employment types | Person | 33 | 164 | 32 | 33 |
| Number of employees under labor dispatch system | Person | 128 | 28 | 67 | 33 |
| Number of employees under the labor contract system | Person | 2997 | 3081 | 3099 | 33 |
| Number of female employees | Person | 2699 | 2752 | 2591 | 33 |
| Number of junior staff | Person | 2847 | 2935 | 2829 | 33 |
| Number of male employees | Person | 459 | 548 | 607 | 33 |
| Total number of employees | Person | 3158 | 3273 | 3198 | 33 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate | % | 18 | 12 | 10 | 33 |
| Employee turnover rate in Mainland China | % | 17 | 13 | 10 | 33 |
| Turnover rate of employees aged 30-50 | % | 15 | 9 | 9 | 33 |
| Turnover rate of employees in Hong Kong, Macao, Taiwan, and overseas | % | 28 | 15 | 9 | 33 |
| Turnover rate of employees over 50 years old | % | 24 | 14 | 4 | 33 |
| Turnover rate of employees under 30 years old | % | 22 | 16 | 9 | 33 |
| Turnover rate of female employees | % | 18 | 12 | 10 | 33 |
| Turnover rate of male employees | % | 20 | 12 | 10 | 33 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of workdays lost due to work-related injuries | Day | 75 | 48 | 35 | 33 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Female staff training coverage | % | 89 | 83.26 | 85.5 | 33 |
| Male staff training coverage | % | 11 | 16.74 | 14.5 | 33 |
| Training coverage rate of junior employees | % | 90 | 88.35 | 89 | 33 |
| Training coverage rate of middle management | % | 7 | 10.08 | 9 | 33 |
| Training coverage rate of senior management | % | 3 | 0.85 | 33 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours per employee | Hour | 18 | 25 | 25.95 | 33 |
| Number of training hours per female employee | Hour | 15 | 25.73 | 25.95 | 33 |
| Number of training hours per junior staff | Hour | 14 | 28 | 26 | 33 |
| Number of training hours per male employee | Hour | 35 | 24 | 25 | 33 |
| Number of training hours per middle management | Hour | 48 | 20 | 20 | 33 |
| Number of training hours per senior management | Hour | 103 | 12 | 12 | 33 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of suppliers in Hong Kong, Macao, Taiwan, and overseas regions | Number of suppliers | 31 | 35 | 33 | |
| Number of suppliers in Mainland China | Number of suppliers | 752 | 599 | 380 | 33 |
| Total number of suppliers | Number of suppliers | 783 | 634 | 380 | 33 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Complaint handling rate | % | 99 | 100 | 100 | 33 |
| Number of complaints received about products and services | Case | 119 | 88 | 610 | 33 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Hours of anti-corruption training per employee | Hour | 1.3 | 1.5 | 1.7 | 33 |
| Percentage of employees covered by anti-corruption training | % | 89 | 76 | 84 | 33 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| People covered by free clinic activities | Person | 20000+ | 33 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Community public welfare donation amount | RMB 1000 | 1800 | 3411 | 300 | 33 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| NOₓ Emissions | kg | 105.12 | 188.06 | 105.04 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO₂e | 1457.98 | 1275.41 | 1017.04 |
| Indirect Energy Emissions (Scope 2) | tCO₂e | 1211837.19 | 1088364.47 | 934892.92 |
| Total GHG Emissions | tCO₂e | 2013576.35 | 1211411.6 | 1036596.96 |
| Total GHG Emissions Intensity (By Revenue) | tCO₂e/RMB10000 | 0.059 | 0.043 | 0.036 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Hazardous Waste | Ton | 326.5 | 320.28 | 294.36 |
| Total Hazardous Waste Intensity (By Revenue) | Ton/RMB 10000 | 0.0023 | 0.0011 | 0.0014 |
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 Disposed | Ton | 2171.89 | 2057.31 | 2040.91 |
| Total Non-Hazardous Waste Intensity (By Revenue) | Ton/RMB 10000 | 0.0094 | 0.0074 | 0.0072 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Diesel Fuel Consumption | L | 18539.18 | 9182.26 | 11623.36 |
| Energy Consumption Intensity (By Revenue) | MWh/RMB 10000 | 0.12 | 0.09 | 0.08 |
| Gasoline Consumption | L | 68824.41 | 32788.49 | 43106.35 |
| Natural Gas Consumption | m³ | 586601 | 508484.51 | 408162.15 |
| Purchased Electricity | MWh | 21249.12 | 19010.34 | 17422.52 |
| Total Energy Consumption | MWh | 28166.33 | 24882.07 | 22331.87 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Discharge of Domestic Wastewater | m³ | 61791 | 60190.8 | 59069.04 |
| Total Wastewater Discharge | m³ | 221771.6 | 220359.89 | 218686.62 |
| Water Consumption | m³ | 228500 | 219575.94 | 214567.94 |
| Water Consumption Intensity (By Revenue) | Ton/RMB 10000 | 0.99 | 0.79 | 0.76 |
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 | 1702 | 1795 | 2010 |
| Number of Employees Aged Above 50 | Person | 228 | 245 | 252 |
| Number of Employees Aged Below 30 | Person | 1168 | 1233 | 936 |
| Number of Employees in Mainland China | Person | 2890 | 3013 | 2826 |
| Number of Employees in Overseas | Person | 268 | 260 | 372 |
| Number of Female Employees | Person | 2699 | 2752 | 2591 |
| Number of Male Employees | Person | 459 | 548 | 607 |
| Number of Middle Management Employees | Person | 269 | 288 | 304 |
| Number of Senior Management Employees | Person | 42 | 50 | 65 |
| Number of Total Employees | Person | 3158 | 3273 | 3198 |
| Percentage of Employees Aged 30-50 | % | 53.91 | 54.85 | 62.86 |
| Percentage of Employees Aged Above 50 | % | 7.22 | 7.49 | 7.88 |
| Percentage of Employees Aged Below 30 | % | 36.98 | 37.68 | 29.27 |
| Percentage of Employees in Mainland China | % | 91.53 | 92.05 | 88.39 |
| Percentage of Employees in Overseas | % | 8.49 | 7.95 | 11.63 |
| Percentage of Female Employees | % | 85.46 | 84.08 | 81.01 |
| Percentage of Male Employees | % | 14.54 | 16.75 | 18.99 |
| Percentage of Middle Management Employees | % | 8.52 | 8.8 | 9.51 |
| Percentage of Senior Management Employees | % | 1.33 | 1.53 | 2.03 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 15 | 9 | 9 |
| Turnover Rate of Employees Aged Above 50 | % | 24 | 14 | 4 |
| Turnover Rate of Employees Aged Below 30 | % | 22 | 16 | 9 |
| Turnover Rate of Employees in Mainland China | % | 17 | 13 | 10 |
| Turnover Rate of Female Employees | % | 18 | 12 | 10 |
| Turnover Rate of Male Employees | % | 20 | 12 | 10 |
| Turnover Rate of Total Employees | % | 18 | 12 | 10 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 75 | 48 | 35 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Trained Female Employees | % | 89 | 83.26 | 85.5 |
| Percentage of Trained General Employees | % | 90 | 88.35 | 89 |
| Percentage of Trained Male Employees | % | 11 | 16.74 | 14.5 |
| Percentage of Trained Middle Management | % | 7 | 10.08 | 9 |
| Percentage of Trained Senior Management | % | 3 | 0.85 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hour | 15 | 25.73 | 25.95 |
| Average Training Hours (General Staff) | Hour | 14 | 28 | 26 |
| Average Training Hours (Male) | Hour | 35 | 24 | 25 |
| Average Training Hours (Middle Management) | Hour | 48 | 20 | 20 |
| Average Training Hours (Senior Management) | Hour | 103 | 12 | 12 |
| Average Training Hours per Employee | Hour | 18 | 25 | 25.95 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | Number of suppliers | 752 | 599 | 380 |
| Number of Total Suppliers | Number of suppliers | 783 | 634 | 380 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaints Handling Rate | % | 99 | 100 | 100 |
| Number of Products and Service Related Complaints | Case | 119 | 88 | 610 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Hours of Anti-corruption Training | Hour | 1.3 | 1.5 | 1.7 |
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 89 | 76 | 84 |
| Coverage of Anti-corruption Training for Employees | % | 89 | 76 | 84 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Public Welfare Donations | RMB 1000 | 1800 | 3411 | 300 |