Environmental, Social and Governance Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Nitrogen Oxides (NOx) | kg | 1.23 | 1.64 | 23 |
| Sulphur Oxides (SOx) | kg | 0.04 | 0.04 | 23 |
| Suspended Particulate Matter (PM) | kg | 0.09 | 0.12 | 23 |
| Total emission intensity of waste gas | kg/RMB100 million | 0.69 | 0.08 | 23 |
| Total emissions of waste gas | kg | 1.37 | 1.8 | 23 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| GHG emission intensity (Scope 1 & Scope 2) | tonne(s) of CO2 equivalent/RMB100 million | 64.2 | 78.92 | 23 |
| GHG emissions (Scope 1) | tonne(s) of CO2 equivalent | 7.8 | 6.24 | 23 |
| GHG emissions (Scope 2) | tonne(s) of CO2 equivalent | 1488.1 | 1784.98 | 23 |
| Total GHG emissions (Scope 1 & Scope 2) | tonne(s) of CO2 equivalent | 1495.9 | 1791.21 | 23 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Hazardous waste intensity | tonne(s)/RMB100 million | 0.1 | 0.28 | 23 |
| Total hazardous waste | tonne(s) | 2.8 | 6.34 | 23 |
| Waste batteries | tonne(s) | 0.1 | 0.04 | 23 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Electronic waste | tonne(s) | 2.7 | 6.3 | 23 |
| Non-hazardous waste intensity | tonne(s)/RMB100 million | 133.5 | 109.39 | 23 |
| Retail store refurbishment waste | tonne(s) | 3105 | 2480 | 23 |
| Total non-hazardous waste | tonne(s) | 3108.3 | 2483 | 23 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Diesel oil | L | 300 | 300 | 23 |
| Electricity | kWh | 2516745 | 3326455 | 23 |
| Gasoline | L | 2600 | 2400 | 23 |
| Total energy consumption | MWh | 2542.95 | 3350.87 | 23 |
| Total energy consumption intensity | MWh/RMB100 million | 109.18 | 147.63 | 23 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Natural water | tonne(s) | 28891 | 32114 | 23 |
| Water consumption intensity | tonne(s)/RMB100 million | 12.4 | 14.15 | 23 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Intensity of paper bags used in offline retail process | tonne(s)/RMB1 million | 0.09 | 0.11 | 23 |
| Intensity of paper bags used in online retail process | tonne(s)/RMB1 million | 0.07 | 0.07 | 23 |
| Intensity of paper boxes used in offline retail process | tonne(s)/RMB1 million | 0.11 | 0.12 | 23 |
| Intensity of paper boxes used in online retail process | tonne(s)/RMB1 million | 0.1 | 0.12 | 23 |
| Intensity of plastic bags used for products | tonne(s)/RMB1 million | 0.14 | 0.14 | 23 |
| Office paper consumption | tonne(s) | 3.3 | 3 | 23 |
| Paper bags used in offline retail process | tonne(s) | 220.1 | 258 | 23 |
| Paper bags used in online retail process | tonne(s) | 172.14 | 161.5 | 23 |
| Paper boxes used in offline retail process | tonne(s) | 245.52 | 264 | 23 |
| Paper boxes used in online retail process | tonne(s) | 223.25 | 262.6 | 23 |
| Plastic bags used for products | tonne(s) | 321 | 308.8 | 23 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Bachelor’s degree and above employees | person(s) | 203 | 205 | 24 |
| College degree employees | person(s) | 201 | 174 | 24 |
| Employees aged 30 years old and below | person(s) | 248 | 217 | 23 |
| Employees aged 31–50 years old | person(s) | 257 | 248 | 23 |
| Employees aged 50 years old and above | person(s) | 3 | 2 | 23 |
| Employees in Beijing | person(s) | 1 | 1 | 24 |
| Employees in Guangzhou | person(s) | 1 | 1 | 24 |
| Employees in Hong Kong | person(s) | 2 | 2 | 24 |
| Employees in Ningbo | person(s) | 503 | 457 | 24 |
| Employees in Shanghai | person(s) | 1 | 6 | 24 |
| Female employees | person(s) | 304 | 302 | 23 |
| Junior high school degree or below employees | person(s) | 21 | 15 | 24 |
| Male employees | person(s) | 204 | 165 | 23 |
| Total number of employees | person(s) | 508 | 467 | 23 |
| Total number of full-time employees | person(s) | 508 | 467 | 23 |
| Vocational school and high school degree employees | person(s) | 83 | 73 | 24 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate - former employees | person(s) | 247 | 174 | 24 |
| Employee turnover rate by age - 30 years old and below | % | 57.5% | 58.0% | 24 |
| Employee turnover rate by age - 31-50 years old | % | 41.7% | 40.8% | 24 |
| Employee turnover rate by age - 50 years old and above | % | 0.8% | 1.1% | 24 |
| Employee turnover rate by gender - female | % | 67.6% | 54.0% | 24 |
| Employee turnover rate by gender - male | % | 32.4% | 46.0% | 24 |
| Employee turnover rate by region - Beijing | % | 0.0% | 0.6% | 24 |
| Employee turnover rate by region - Guangzhou | % | 0.0% | 0.0% | 24 |
| Employee turnover rate by region - Hong Kong | % | 0.0% | 0.0% | 24 |
| Employee turnover rate by region - Ningbo | % | 97.6% | 99.4% | 24 |
| Employee turnover rate by region - Shanghai | % | 2.4% | 0.0% | 24 |
Lost days due to work injury.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Total number of lost days due to work-related injuries | 天 | 17 | 33 | 24 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Percentage of trained employees by employee type - general employees | % | 73.4% | 89.1% | 24 |
| Percentage of trained employees by employee type - middle management | % | 13.0% | 10.2% | 24 |
| Percentage of trained employees by employee type - senior management | % | 13.6% | 0.8% | 24 |
| Percentage of trained employees by gender - female | % | 60.4% | 74.0% | 24 |
| Percentage of trained employees by gender - male | % | 39.6% | 26.0% | 24 |
| Total number of trained employees | person(s) | 560 | 914 | 24 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average training hours by employee type - general employees | hour(s) | 6.9 | 7 | 24 |
| Average training hours by employee type - middle management | hour(s) | 10.2 | 6.4 | 24 |
| Average training hours by employee type - senior management | hour(s) | 11.8 | 5 | 24 |
| Average training hours by gender - female | hour(s) | 8.3 | 7.1 | 24 |
| Average training hours by gender - male | hour(s) | 7.5 | 6.5 | 24 |
| Average training hours of employees | hour(s) | 8 | 7 | 24 |
| Total training hours of employees | hour(s) | 4475.5 | 6368 | 24 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Suppliers by function - Logistics suppliers | % | 3.6% | 1.9% | 24 |
| Suppliers by function - OEM suppliers | % | 70.1% | 55.4% | 24 |
| Suppliers by function - Others | % | 1.5% | 0.7% | 24 |
| Suppliers by function - Raw material suppliers | % | 24.8% | 41.9% | 24 |
| Suppliers by region - Central China | % | 1.5% | 0.7% | 24 |
| Suppliers by region - East China | % | 77.0% | 78.3% | 24 |
| Suppliers by region - North China | % | 1.1% | 2.2% | 24 |
| Suppliers by region - Northeast China | % | 2.2% | 2.6% | 24 |
| Suppliers by region - South China | % | 17.5% | 16.1% | 24 |
| Total number of suppliers | No. | 274 | 267 | 24 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| After-sales service or product-related complaints | time(s) | 168 | 160 | 25 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average anti-corruption training hours accepted by directors and employees | hour(s) | 3 | 3 | 25 |
| Coverage of anti-corruption trainings for directors and employees | % | 100 | 100 | 25 |
| Number of anti-corruption trainings provided to directors and employees | time(s) | 2 | 1 | 25 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Charitable donations | RMB10000 | 18 | 25 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 0.09 | 0.12 |
| NOₓ Emissions | kg | 1.23 | 1.64 |
| SOₓ Emissions | kg | 0.04 | 0.04 |
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 | 2023 | 2024 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne(s) of CO2 equivalent | 7.8 | 6.24 |
| Indirect Energy Emissions (Scope 2) | tonne(s) of CO2 equivalent | 1488.1 | 1784.98 |
| Total GHG Emissions | tonne(s) of CO2 equivalent | 1495.9 | 1791.21 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Hazardous Waste (Used Batteries) | tonne(s) | 0.1 | 0.04 |
| Total Hazardous Waste | tonne(s) | 2.8 | 6.34 |
| Total Hazardous Waste Intensity (By Revenue) | tonne(s)/RMB100 million | 0.1 | 0.28 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Non-Hazardous Waste (Construction Waste) | tonne(s) | 3105 | 2480 |
| Non-Hazardous Waste (Electronic Waste) | tonne(s) | 2.7 | 6.3 |
| Non-Hazardous Waste Disposed | tonne(s) | 3108.3 | 2483 |
| Total Non-Hazardous Waste Intensity (By Revenue) | tonne(s)/RMB100 million | 133.5 | 109.39 |
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 | 2023 | 2024 |
|---|---|---|---|
| Diesel Fuel Consumption | L | 300 | 300 |
| Energy Consumption Intensity (By Revenue) | MWh/RMB100 million | 109.18 | 147.63 |
| Gasoline Consumption | L | 2600 | 2400 |
| Purchased Electricity | kWh | 2516745 | 3326455 |
| Total Energy Consumption | MWh | 2542.95 | 3350.87 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Water Withdrawal | tonne(s) | 28891 | 32114 |
| Water Consumption Intensity (By Revenue) | tonne(s)/RMB100 million | 12.4 | 14.15 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Packaging Material Consumption (Paper) | tonne(s) | 860.01 | 946.1 |
| Packaging Material Consumption (Plastic) | tonne(s) | 321 | 308.8 |
| Packaging Material Intensity (By Revenue) | tonne(s)/RMB1 million | 0.51 | 0.56 |
| Packaging Materials Consumed | tonne(s) | 1182.01 | 1254.9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | person(s) | 203 | 205 |
| Number of Below Junior College Employees | person(s) | 21 | 15 |
| Number of Employees Aged 30-50 | person(s) | 257 | 248 |
| Number of Employees Aged Above 50 | person(s) | 3 | 2 |
| Number of Employees Aged Below 30 | person(s) | 248 | 217 |
| Number of Employees in Hong Kong | person(s) | 2 | 2 |
| Number of Employees in Hong Kong and Mainland China | person(s) | 508 | 467 |
| Number of Employees in Mainland China | person(s) | 506 | 465 |
| Number of Female Employees | person(s) | 304 | 302 |
| Number of Full-time Employees | person(s) | 508 | 467 |
| Number of Male Employees | person(s) | 204 | 165 |
| Number of Total Employees | person(s) | 508 | 467 |
| Percentage of Bachelor's Degree Employees | % | 39.96 | 43.89 |
| Percentage of Below Junior College Employees | % | 4.13 | 3.21 |
| Percentage of Employees Aged 30-50 | % | 50.59 | 53.13 |
| Percentage of Employees Aged Above 50 | % | 0.59 | 0.43 |
| Percentage of Employees Aged Below 30 | % | 48.82 | 46.47 |
| Percentage of Employees in Hong Kong | % | 0.39 | 0.43 |
| Percentage of Employees in Hong Kong and Mainland China | % | 100 | 100 |
| Percentage of Employees in Mainland China | % | 99.61 | 99.57 |
| Percentage of Female Employees | % | 59.84 | 64.66 |
| Percentage of Full-time Employees | % | 100 | 100 |
| Percentage of Male Employees | % | 40.16 | 35.33 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 41.7 | 40.8 |
| Turnover Rate of Employees Aged Above 50 | % | 0.8 | 1.1 |
| Turnover Rate of Employees Aged Below 30 | % | 57.5 | 58 |
| Turnover Rate of Employees in Mainland China | % | 100 | 100 |
| Turnover Rate of Female Employees | % | 67.6 | 54 |
| Turnover Rate of Male Employees | % | 32.4 | 46 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | 天 | 17 | 33 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Percentage of Trained Female Employees | % | 60.4 | 74 |
| Percentage of Trained General Employees | % | 73.4 | 89.1 |
| Percentage of Trained Male Employees | % | 39.6 | 26 |
| Percentage of Trained Middle Management | % | 13 | 10.2 |
| Percentage of Trained Senior Management | % | 13.6 | 0.8 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hour(s) | 8.3 | 7.1 |
| Average Training Hours (General Employees) | hour(s) | 6.9 | 7 |
| Average Training Hours (Male) | hour(s) | 7.5 | 6.5 |
| Average Training Hours (Middle Management) | hour(s) | 10.2 | 6.4 |
| Average Training Hours (Senior Management) | hour(s) | 11.8 | 5 |
| Average Training Hours per Employee | hour(s) | 8 | 7 |
| Total Training Hours | hour(s) | 4475.5 | 6368 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Suppliers in Central China | No. | 4 | 2 |
| Number of Suppliers in East China | No. | 211 | 209 |
| Number of Suppliers in North China | No. | 3 | 6 |
| Number of Suppliers in Northeast China | No. | 6 | 7 |
| Number of Suppliers in South China | No. | 48 | 43 |
| Number of Total Suppliers | No. | 274 | 267 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Products and Service Related Complaints | time(s) | 168 | 160 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Hours of Anti-corruption Training | hour(s) | 3 | 3 |
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 | 100 |
| Number of Anti-corruption Training Session | time(s) | 2 | 1 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Cash Donations | RMB10000 | 18 |
| Total Public Welfare Donations | RMB10000 | 18 |
| Total Social Investment | RMB10000 | 18 |