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 |
---|---|---|---|
NOₓ emissions | kg | 1.76 | 73 |
PM emissions | kg | 0.13 | 73 |
SO₂ emissions | kg | 0.03 | 73 |
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 |
---|---|---|---|
GHG emission intensity | tCO₂e/revenue RMB million | 0.17 | 73 |
GHG emissions (Scope 1) | tCO₂e | 5.8 | 73 |
GHG emissions (Scope 2) | tCO₂e | 581.52 | 73 |
Total GHG emissions | tCO₂e | 587.32 | 73 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Intensity of hazardous wastes | tonnes/revenue RMB million | 0.000018 | 73 |
Total hazardous wastes | tonnes | 0.63 | 73 |
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 |
---|---|---|---|
Intensity of non-hazardous wastes | tonnes/revenue RMB million | 0.01 | 73 |
Total non-hazardous wastes | tonnes | 28.83 | 73 |
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 |
---|---|---|---|
Direct energy consumption | mWh | 18.92 | 73 |
Energy consumption intensity | mWh/revenue RMB million | 0.22 | 73 |
Gasoline consumption | Liters | 2181 | 73 |
Indirect energy consumption | mWh | 723.1 | 73 |
Number of Yeahka private clouds built | 2 | 8 | |
Reduction in energy consumption of about 50 servers | servers | 50 | 8 |
Total electricity consumption | mWh | 723.1 | 73 |
Total energy consumption | mWh | 742.02 | 73 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Water consumption | m³ | 813.17 | 73 |
Water consumption intensity | m³/revenue RMB million | 0.24 | 73 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Total assets | thousand RMB | 7289998 | 8 |
Total workforce | People | 1299 | 74 |
Total workforce - Above 50 | People, Percentage | 1 | 74 |
Total workforce - Aged 31-40 | People, Percentage | 471 | 74 |
Total workforce - Aged 41-50 | People, Percentage | 46 | 74 |
Total workforce - Below 30 | People, Percentage | 60.12 | 74 |
Total workforce - Female | People, Percentage | 43.88 | 74 |
Total workforce - Full-time | People, Percentage | 100 | 74 |
Total workforce - Mainland China | People, Percentage | 99.69 | 74 |
Total workforce - Male | People, Percentage | 56.12 | 74 |
Total workforce - Overseas, Hong Kong, Macao and Taiwan | People, Percentage | 0.31 | 74 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Employee turnover - Aged 31-40 | People | 91 | 74 |
Employee turnover - Aged 41-50 | People | 13 | 74 |
Employee turnover - Below 30 | People | 216 | 74 |
Employee turnover - Female | People | 118 | 74 |
Employee turnover - Mainland China | People | 318 | 74 |
Employee turnover - Male | People | 202 | 74 |
Employee turnover - Overseas, Hong Kong, Macao and Taiwan | People | 2 | 74 |
Employee turnover rate - Aged 31-40 | Percentage | 16.19 | 74 |
Employee turnover rate - Aged 41-50 | Percentage | 22.03 | 74 |
Employee turnover rate - Below 30 | Percentage | 21.66 | 74 |
Employee turnover rate - Female | Percentage | 17.15 | 74 |
Employee turnover rate - Mainland China | Percentage | 19.71 | 74 |
Employee turnover rate - Male | Percentage | 21.7 | 74 |
Employee turnover rate - Overseas, Hong Kong, Macao and Taiwan | Percentage | 33.33 | 74 |
Lost days due to work injury.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Lost days due to work injury | 70 | 75 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Percentage of employees trained by gender: Female | % | 72.81 | 75 |
Percentage of employees trained by gender: Male | % | 97.39 | 75 |
Percentage of employees trained by rank: General employees | % | 87.39 | 75 |
Percentage of employees trained by rank: Middle management | % | 81.9 | 75 |
Percentage of employees trained by rank: Senior management | % | 100 | 75 |
Training coverage for 'Sunshine Code of Conduct' for employees | % | 100 | 8 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Average training hours completed per employee by gender: Female | hours | 34.23 | 75 |
Average training hours completed per employee by gender: Male | hours | 49.35 | 75 |
Average training hours completed per employee by rank: General employees | hours | 40.49 | 75 |
Average training hours completed per employee by rank: Middle management | hours | 53.19 | 75 |
Average training hours completed per employee by rank: Senior management | hours | 37.7 | 75 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Active payment merchants for One-Stop Payment Services | million | 8.1 | 8 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of suppliers who have implemented relevant policies (especially environmental protection and social policies) | 16 | 75 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Gross Merchandise Value (GMV) for In-Store E-Commerce Services | billion RMB | 3.3 | 8 |
Gross Payment Volume (GPV) for One-Stop Payment Services | billion RMB | 2231.6 | 8 |
Number of customer complaints (Cases) | cases | 100754 | 75 |
Number of follow-up visits (Cases) | cases | 145116 | 75 |
Year-on-Year growth in data processing for risk control | % | 40 | 8 |
Year-on-Year growth of GMV for In-Store E-Commerce Services | % | 733.1 | 8 |
Year-on-Year growth of GPV for One-Stop Payment Services | % | 5.1 | 8 |
Year-on-Year growth of active payment merchants for One-Stop Payment Services | % | 11.4 | 8 |
Year-on-Year growth of orders for In-Store E-Commerce Services | % | 305 | 8 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
ISO 10002 certification for customer complaint management system | Obtained | 8 | |
Number of orders for In-Store E-Commerce Services | million | 37 | 8 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of risk decisions made | billion | 14 | 8 |
Number of risk transactions processed | million | 10 | 8 |
Number of suppliers signed the 'Letter of Commitment for Anti-commercial Bribery' | 60 | 75 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Total equity | thousand RMB | 2681267 | 8 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 0.13 |
NOₓ Emissions | kg | 1.76 |
SOₓ Emissions | kg | 0.03 |
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 | 5.8 |
Indirect Energy Emissions (Scope 2) | tCO₂e | 581.52 |
Total GHG Emissions | tCO₂e | 587.32 |
Total GHG Emissions Intensity (By Revenue) | tCO₂e/revenue RMB million | 0.17 |
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 | tonnes | 0.63 |
Total Hazardous Waste Intensity (By Revenue) | tonnes/revenue RMB million | 0.000018 |
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 Disposed | tonnes | 28.83 |
Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/revenue RMB million | 0.01 |
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 |
---|---|---|
Energy Consumption Intensity (By Revenue) | mWh/revenue RMB million | 0.22 |
Gasoline Consumption | Liters | 2181 |
Grid Electricity Consumption | mWh | 723.1 |
Purchased Electricity | mWh | 723.1 |
Total Direct Energy Consumption | mWh | 18.92 |
Total Energy Consumption | mWh | 742.02 |
Total Indirect Energy Consumption | mWh | 723.1 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 |
---|---|---|
Water Consumption | m³ | 813.17 |
Water Consumption Intensity (By Revenue) | m³/revenue RMB million | 0.24 |
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 | People | 517 |
Number of Employees Aged Above 50 | People | 1 |
Number of Employees Aged Below 30 | People | 781 |
Number of Employees in Mainland China | People | 1295 |
Number of Employees in Overseas | People | 4 |
Number of Female Employees | People | 570 |
Number of Full-time Employees | People | 1299 |
Number of Male Employees | People | 729 |
Number of Total Employees | People | 1299 |
Percentage of Employees Aged 30-50 | Percentage | 39.8 |
Percentage of Employees Aged Above 50 | Percentage | 0.08 |
Percentage of Employees Aged Below 30 | Percentage | 60.12 |
Percentage of Employees in Mainland China | Percentage | 99.69 |
Percentage of Employees in Overseas | Percentage | 0.31 |
Percentage of Female Employees | Percentage | 43.88 |
Percentage of Full-time Employees | Percentage | 100 |
Percentage of Male Employees | Percentage | 56.12 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | Percentage | 22.03 |
Turnover Rate of Employees Aged Below 30 | Percentage | 21.66 |
Turnover Rate of Employees in Mainland China | Percentage | 19.71 |
Turnover Rate of Female Employees | Percentage | 17.15 |
Turnover Rate of Male Employees | Percentage | 21.7 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 70 |
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 | % | 72.81 |
Percentage of Trained General Employees | % | 87.39 |
Percentage of Trained Male Employees | % | 97.39 |
Percentage of Trained Middle Management | % | 81.9 |
Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 |
---|---|---|
Average Training Hours (Female) | hours | 34.23 |
Average Training Hours (General Employees) | hours | 40.49 |
Average Training Hours (Male) | hours | 49.35 |
Average Training Hours (Middle Management) | hours | 53.19 |
Average Training Hours (Senior Management) | hours | 37.7 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2022 |
---|---|---|
Total Number of Customer Complaints | cases | 100754 |