2022 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Methylbenzene emissions | Tonne | 0.12 | 118 |
| Total density of air pollutant emissions | Tonne/million RMB | 0.00008 | 118 |
| Total emissions of air pollutant | Tonne | 0.32 | 118 |
| Xylene emissions | Tonne | 0.2 | 118 |
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 | Report Pages |
|---|---|---|---|
| Carbon emission intensity | tCO2e/million RMB | 1.21 | 12 |
| GHG emission (scope 1) | tCO2e | 51.35 | 101, 118 |
| GHG emission (scope 2) | tCO2e | 4483.1 | 101, 118 |
| Total GHG emission | tCO2e | 4534.45 | 118 |
| Total GHG emission (scope 1+scope 2) | tCO2e | 4534.45 | 101 |
| Total density of GHG emission | tCO2e/million RMB | 1.21 | 101, 118 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Medical waste | Tonne | 1.86 | 118 |
| Total discharge density of hazardous waste | Tonne/million RMB | 0.0005 | 118 |
| Total hazardous waste discharge | Tonne | 1.88 | 118 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Household waste | Tonne | 1.74 | 118 |
| Office waste paper | Tonne | 0.44 | 118 |
| Total discharge density of non-hazardous waste | Tonne/million RMB | 0.0006 | 118 |
| Total non-hazardous waste discharge | Tonne | 2.18 | 118 |
| Waste toner cartridges and ink cartridges | Tonne | 0.006 | 118 |
| Waste tube | Tonne | 0.0085 | 118 |
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 | Report Pages |
|---|---|---|---|
| Energy consumption intensity | thousand KWH/million RMB | 1.48 | 12 |
| Purchased electricity | Thousand KWH | 5552.79 | 118 |
| Total density of energy consumption | Thousand KWH/million RMB | 1.48 | 104 |
| Total energy consumption | Thousand KWH | 5552.79 | 104, 118 |
| Total energy consumption intensity | Thousand KWH/million RMB | 1.48 | 118 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Total density of water consumption | M³/million RMB | 48.22 | 104 |
| Total water consumption | Cubic metre, M³ | 181134.56 | 104, 118 |
| Total water consumption intensity | Cubic metre/million RMB | 48.22 | 118 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Percentage of new energy vehicles of nationwide cold chain logistics vehicles | % | approximately 50.2 | 12 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Laboratories with ISO15189 and CAP certifications | 3 | 12 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| ICLs established nationwide | 10+ | 12 | |
| Number of employees above age 50 | 20 | 81 | |
| Number of employees age 30 to 50 | 763 | 81 | |
| Number of employees below age 30 | 1822 | 81 | |
| Number of employees in Central China | 43 | 81 | |
| Number of employees in East China | 308 | 81 | |
| Number of employees in Hong Kong, Macao, Taiwan and overseas regions | 1 | 81 | |
| Number of employees in South China | 1948 | 81 | |
| Number of employees in Southwest China | 305 | 81 | |
| Number of female employees | 1583 | 81 | |
| Number of female middle management | 56 | 81 | |
| Number of female non-management | 902 | 81 | |
| Number of female senior management | 17 | 81 | |
| Number of male employees | 1022 | 81 | |
| Number of male middle management | 73 | 81 | |
| Number of male non-management | 1510 | 81 | |
| Number of male senior management | 47 | 81 | |
| Number of middle management | 129 | 81 | |
| Number of non-management employees | 2412 | 81 | |
| Number of senior management | 64 | 81 | |
| Percentage of employees aged 30 and below | % | 69.94 | 12 |
| Percentage of employees under age 30 | 69.94% | 81 | |
| Percentage of female employees | % | 60.77% | 12, 81 |
| Percentage of female management | 37.82% | 81 | |
| Proportion of female Board Directors | % | 14.3 | 12 |
| Total assets | million RMB | 4907 | 12 |
| Total number of employees | 2605 | 81 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number and rate of work-related fatalities | person; % | 0; 0 | 0; 0 | 0; 0 | 121 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Cumulative learning on the 'Fu Yun' learning platform | person-times | 93073 | 12 |
| R&D investment | million RMB | 94.7 | 12 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Average training hours per person (all employees) | hours | 47.86 | 90 |
| Average training hours per person (female employees) | hours | 23.98 | 90 |
| Average training hours per person (male employees) | hours | 23.85 | 90 |
| Average training hours per person (middle management) | hours | 20 | 90 |
| Average training hours per person (non-management) | hours | 24 | 90 |
| Average training hours per person (senior management) | hours | 20 | 90 |
| Total number of training sessions | 352 | 90 | |
| Total training hours (all employees) | hours | 188240 | 90 |
| Total training hours (female employees) | hours | 58220 | 90 |
| Total training hours (male employees) | hours | 35900 | 90 |
| Total training hours (middle management) | hours | 1280 | 90 |
| Total training hours (non-management) | hours | 92760 | 90 |
| Total training hours (senior management) | hours | 80 | 90 |
| Total training hours of employees | hours | 188240 | 12 |
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 | 2022 | Report Pages |
|---|---|---|---|
| Assessment passing rate of suppliers | % | 100 | 12 |
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 | Report Pages |
|---|---|---|---|
| Litigation on corruption for the full year | No | 12 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Proportion of independent Directors | % | More than 40 | 12 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Digital pathology remote diagnosis platform co-laboratories | co-laboratories | 200+ | 12 |
| National and provincial core scientific research projects | 30 | 12 | |
| Total number of cervical and breast cancers screening benefiting | person-times | approximately 3000 | 12 |
| Total number of launching community charitable clinical diagnostic activities | times | 499 | 12 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Annual profit | million RMB | 374 | 12 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tonne | 0.32 |
| PM Emission Intensity (By Revenue) | Tonne/million RMB | 0.00008 |
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 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 51.35 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 4483.1 |
| Total GHG Emissions | tCO2e | 4534.45 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/million RMB | 1.21 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Total Hazardous Waste | Tonne | 1.88 |
| Total Hazardous Waste Intensity (By Revenue) | Tonne/million RMB | 0.0005 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | Tonne | 1.74 |
| Non-Hazardous Waste (Electronic Waste) | Tonne | 0.0145 |
| Non-Hazardous Waste (Office Waste) | Tonne | 0.44 |
| Non-Hazardous Waste Disposed | Tonne | 2.18 |
| Paper Waste | Tonne | 0.44 |
| Total Non-Hazardous Waste Intensity (By Revenue) | Tonne/million RMB | 0.0006 |
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 |
|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | Thousand KWH/million RMB | 1.48 |
| Energy Consumption Intensity (By Revenue) | Thousand KWH/million RMB | 1.48 |
| Grid Electricity Consumption | Thousand KWH | 5552.79 |
| Purchased Electricity | Thousand KWH | 5552.79 |
| Total Electricity Consumption Intensity (By Revenue) | Thousand KWH/million RMB | 1.48 |
| Total Energy Consumption | Thousand KWH | 5552.79 |
| Total Indirect Energy Consumption | Thousand KWH | 5552.79 |
| Total Purchased Energy | Thousand KWH | 5552.79 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Water Consumption | M³ | 181134.56 |
| Water Consumption Intensity (By Revenue) | M³/million RMB | 48.22 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Employees Aged 30-50 | person | 763 |
| Number of Employees Aged Above 50 | person | 20 |
| Number of Employees Aged Below 30 | person | 1822 |
| Number of Employees in Central China | person | 43 |
| Number of Employees in East China | person | 308 |
| Number of Employees in Hong Kong | person | 1 |
| Number of Employees in Hong Kong and Mainland China | person | 2605 |
| Number of Employees in Mainland China | person | 2604 |
| Number of Employees in South China | person | 1948 |
| Number of Employees in Southwest China | person | 305 |
| Number of Female Employees | person | 1583 |
| Number of General Employees | person | 2412 |
| Number of General Employees (Female) | person | 902 |
| Number of General Employees(Male) | person | 1510 |
| Number of Male Employees | person | 1022 |
| Number of Middle Management Employees | person | 129 |
| Number of Middle Management Employees (Female) | person | 56 |
| Number of Middle Management Employees (Male) | person | 73 |
| Number of Senior Management Employees | person | 64 |
| Number of Senior Management Employees (Female) | person | 17 |
| Number of Senior Management Employees (Male) | person | 47 |
| Number of Total Employees | person | 2605 |
| Percentage of Employees Aged Below 30 | % | 69.94 |
| Percentage of Female Employees | % | 60.77 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Employees Aged 30-50 | % |
| Turnover Rate of Employees Aged Below 30 | % |
| Turnover Rate of Employees in Hong Kong and Mainland China | % |
| Turnover Rate of Employees in Mainland China | % |
| Turnover Rate of Female Employees | % |
| Turnover Rate of Male Employees | % |
| Turnover Rate of Total Employees | % |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Trained Female Employees | % | 61.73 |
| Percentage of Trained General Employees | % | 98.27 |
| Percentage of Trained Male Employees | % | 38.27 |
| Percentage of Trained Middle Management | % | 1.63 |
| Percentage of Trained Senior Management | % | 0.1 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Average Training Hours (Female) | hours | 23.98 |
| Average Training Hours (General Staff) | hours | 24 |
| Average Training Hours (Male) | hours | 23.85 |
| Average Training Hours (Middle Management) | hours | 20 |
| Average Training Hours (Senior Management) | hours | 20 |
| Average Training Hours per Employee | hours | 47.86 |
| Total Training Hours | hours | 188240 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers in Central China | unit |
| Number of Suppliers in East China | unit |
| Number of Suppliers in Mainland China | unit |
| Number of Suppliers in North China | unit |
| Number of Suppliers in Northwest China | unit |
| Number of Suppliers in South China | unit |
| Number of Suppliers in Southwest China | unit |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit |
|---|---|
| Number of Complaints Dealt with | case |
| Number of Products and Service Related Complaints | case |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Employee Coverage of Data Security Training | % |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Directors and Management Attendance for Anti-corruption Training | person | 7 |
| Number of General Employees Attendance for Anti-corruption Training | person | 2605 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | person | 2612 |
| Total Anti-corruption Training Hours for Directors and Management | hour | 7 |
| Total Hours of Anti-corruption Training | hour | 207 |
| Total Hours of Anti-corruption Training for Employees | hour | 200 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Total Cash Donations | RMB | 500000 |
| Total Public Welfare Donations | RMB | 500000 |
| Total Social Investment | RMB | 500000 |