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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Nitrogen oxides emissions | Kilogram | 38.4 | 26.29 | 3554.99 | 102 |
| Particulate matter emissions | Kilogram | 2.84 | 1.92 | 227.74 | 102 |
| Sulfur oxides emissions | Kilogram | 1.6 | 3.5 | 7.82 | 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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Greenhouse gas emissions | tonnes CO₂e | 20924.01 | 14 | ||
| Greenhouse gas emissions intensity | tonnes CO₂e per revenue in RMB (million) | 8.76 | 14 | ||
| Intensity of greenhouse gas emissions | Tonne/revenue in RMB (million) | 9.96 | 8.63 | 8.76 | 102 |
| Scope 1: Direct greenhouse gas emissions | Tonne | 261.13 | 676.36 | 1655.31 | 102 |
| Scope 2: Indirect greenhouse gas emissions | Tonne | 25707.9 | 20663.34 | 19268.7 | 102 |
| Total greenhouse gas emissions | Tonne | 25969.02 | 21339.71 | 20924.01 | 102 |
Total 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 |
|---|---|---|---|---|---|
| Hazardous waste intensity | Kilogram/revenue in RMB (million) | 3.09 | 2.42 | 2.49 | 102 |
| Total hazardous waste produced | Kilogram | 8053.76 | 5971.77 | 5947.01 | 102 |
| Waste batteries produced | Kilogram | 801.56 | 1186.2 | 762.98 | 102 |
| Waste fluorescent tubes produced | Kilogram | 5491.57 | 3209.05 | 3768.5 | 102 |
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 |
|---|---|---|---|---|---|
| Electronic waste produced | Kilogram | 802.74 | 882.43 | 651.78 | 102 |
| Non-hazardous waste intensity | Tonne/revenue in RMB (million) | 0.42 | 0.74 | 1.8 | 103 |
| Total non-hazardous waste produced | Tonne | 1104.57 | 1830.63 | 4296.79 | 103 |
| Waste printer toner cartridge/ink cartridge produced | Kilogram | 957.88 | 694.09 | 763.75 | 102 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Intensity of greenhouse gas emissions (target: reduce by 3% in the next three years compared with 2022) | % | -3 | 66 |
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 | Report Pages |
|---|---|---|---|---|---|
| Comprehensive energy consumption | MWh | 46095.65 | 38874.41 | 42252.3 | 103 |
| Comprehensive energy consumption intensity | MWh/revenue in RMB (million) | 17.69 | 15.73 | 17.69 | 103 |
| Contracted GFA | million m² | 125.8 | 14 | ||
| Diesel | Litre | 44583.16 | 62037.62 | 546862.79 | 103 |
| Direct energy consumption | MWh | 1017.8 | 2642 | 6343.43 | 103 |
| Electricity purchased | MWh | 45077.85 | 36232.41 | 35908.87 | 103 |
| Gas | m3 | 1134 | 730 | 505 | 103 |
| Indirect energy consumption | MWh | 45077.85 | 36232.41 | 35908.87 | 103 |
| Kerosene | Litre | 20 | 560 | 130 | 103 |
| Liquefied Petroleum Gas | Tonne | 3.53 | 1.03 | 0.97 | 103 |
| Natural gas | m3 | 415 | 3143 | 53725 | 103 |
| Petrol | Litre | 58442.14 | 221125.61 | 51848.46 | 103 |
| Total energy consumption | MWh | 42252.3 | 14 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption | m3, m³ | 996880.47 | 1834508.81 | 1753855.73 | 14, 103 |
| Water consumption intensity | m3/revenue in RMB (million) | 382.53 | 742.32 | 734.19 | 103 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2024 | Report Pages |
|---|---|---|---|---|
| Electricity fee saving by IoT lighting renovation for garages | million RMB | 2.358 | 68 | |
| Electricity saved by IoT lighting renovation for garages | million kilowatt-hours | 3.043 | 68 | |
| Intensity of energy consumption (target: reduce by 5% in the next three years compared with 2022) | % | -5 | 66 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| 2024 China’s Top Listed Property Services Companies in Environmental Responsibility (E) | Awarded | 6 | |
| Contracted projects | 945 | 14 | |
| GFA under management | million m² | 118.8 | 14 |
| Number of IoT lighting renovation projects for garages | projects | 32 | 68 |
| Projects under management | 878 | 14 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Chinese Mainland employees | Headcount | 9125 | 6581 | 5134 | 104 |
| Employees in Guangdong Province | Headcount | 5009 | 3799 | 2645 | 104 |
| Employees in Hong Kong, Macao and Taiwan regions | Headcount | 3 | 3 | 4 | 104 |
| Employees outside Guangdong Province | Headcount | 4116 | 2782 | 2489 | 104 |
| Entry-level employees | Headcount | 8762 | 6254 | 4805 | 104 |
| Existing employees aged 29 and below | Headcount | 1447 | 953 | 694 | 104 |
| Existing employees aged 30-49 | Headcount | 4462 | 3550 | 3167 | 104 |
| Existing employees aged 50 and above | Headcount | 3219 | 2081 | 1277 | 104 |
| Female employees | Headcount | 3560 | 2482 | 1855 | 104 |
| Full-time employees | Headcount | 9128 | 6584 | 5138 | 104 |
| Male employees | Headcount | 5568 | 4102 | 3283 | 104 |
| Middle management employees | Headcount | 335 | 299 | 312 | 104 |
| Number of Directors on the Board | 9 | 30 | |||
| Number of employees | 5138 | 14 | |||
| Number of female Directors on the Board | 3 | 30 | |||
| Percentage of female Directors on the Board | 33.3% | 30 | |||
| Senior management employees | Headcount | 31 | 31 | 21 | 104 |
| Total assets | RMB'000 | 2591943 | 14 | ||
| Total number of employees | Headcount | 9128 | 6584 | 5138 | 104 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate by age group: Existing employees aged 30 and below | % | 42.71 | 48.26 | 38.91 | 105 |
| Employee turnover rate by age group: Existing employees aged 30-49 | % | 28.41 | 30.68 | 22.83 | 105 |
| Employee turnover rate by age group: Existing employees aged 50 and above | % | 29.43 | 36.11 | 37.4 | 105 |
| Employee turnover rate by gender: Female | % | 36.79 | 39.08 | 30.37 | 105 |
| Employee turnover rate by gender: Male | % | 28.36 | 33.26 | 28.88 | 105 |
| Employee turnover rate by geographical region: Among which, inside Guangdong Province | % | 38.13 | 37.45 | 30.3 | 105 |
| Employee turnover rate by geographical region: China's Hong Kong, Macao and Taiwan regions | % | 37.5 | 20 | 105 | |
| Employee turnover rate by geographical region: Chinese Mainland | % | 31.93 | 35.59 | 29.43 | 105 |
| Employee turnover rate by geographical region: Outside Guangdong Province | % | 22.12 | 32.85 | 28.48 | 105 |
| Total employee turnover rate | % | 31.94 | 35.58 | 29.42 | 105 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of work injuries | Case | 98 | 89 | 111 | 106 |
| Number of work-related fatalities | Headcount | 2 | 1 | 106 | |
| Rate of work-related fatalities | % | 0.02 | 0.02 | 106 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work injury | Day | 778 | 681 | 530 | 106 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of emergency drills | times | 14 | 14 |
| Number of fire safety management issues identified and urged for rectification | 68 | 30 | |
| Number of project fire safety management inspections organized | 26 | 30 | |
| Project safety training coverage rate | % | 93.78 | 14 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coverage rate of employees trained | % | 100 | 14 | ||
| Percentage of employees trained to total number of employees | % | 100 | 100 | 100 | 106 |
| Percentage of entry-level employees trained | % | 95.99 | 94.99 | 93.52 | 106 |
| Percentage of female employees trained | % | 39 | 37.7 | 36.1 | 106 |
| Percentage of male employees trained | % | 61 | 62.3 | 63.9 | 106 |
| Percentage of middle management employees trained | % | 3.67 | 4.54 | 6.07 | 106 |
| Percentage of senior management employees trained | % | 0.34 | 0.47 | 0.41 | 106 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours for entire employees | Hour | 27.14 | 52.39 | 33.34 | 107 |
| Average training hours for entry-level employees | Hour | 24.32 | 52.39 | 33.7 | 107 |
| Average training hours for female employees | Hour | 29.71 | 52.39 | 32.48 | 107 |
| Average training hours for male employees | Hour | 25.49 | 52.39 | 33.83 | 107 |
| Average training hours for middle management | Hour | 94.95 | 52.39 | 29.43 | 107 |
| Average training hours for senior management | Hour | 90.45 | 52.39 | 9.62 | 107 |
| Training hours completed per employee | hours | 33.34 | 14 | ||
| average training hours for senior management | hours | decreased | 111 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Chinese Mainland: Number of suppliers in Guangdong Province | Entity | 596 | 710 | 881 | 107 |
| Chinese Mainland: Number of suppliers outside Guangdong Province | Entity | 119 | 170 | 234 | 107 |
| TOP 10 of 2024 Property Management Services Listed Companies in China by Scale | 10 | 16 | |||
| Top 10 of 2024 City Services Companies in China | rank | 10 | 6 | ||
| Total number of suppliers | Entity | 715 | 880 | 1115 | 107 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of suppliers where the practices are being implemented | Entity | 715 | 880 | 1115 | 107 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| TOP 100 Chinese Property Service Companies in Brand Influence in 2024 – Times Neighborhood | 100 | 16 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Engineering-related complaints | Time | 2711 | 2230 | 1233 | 108 |
| No. 13 in the 2024 TOP 20 Listed Property Management Companies in China’s Property Management Industry | 13 | 16 | |||
| Number of complaints on security | Time | 2387 | 2169 | 1672 | 108 |
| Number of praises received from property owners | Time | 302 | 187 | 387 | 108 |
| Number of total complaints received | Time | 14043 | 9090 | 6162 | 108 |
| Other complaints | Time | 1487 | 364 | 122 | 108 |
| Service-related complaints | Time | 7458 | 4327 | 3135 | 108 |
| TOP 5 of 2024 Outstanding Property Management Listed Companies in Investment Value in China | 5 | 16 | |||
| Top 5 of 2024 Outstanding Property Management Listed Companies in Investment Value in China | rank | 5 | 6 | ||
| Total number of IoT lighting contracts for garages | units | 35698 | 68 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| 2024 Specialised Operational Leading Brand of China Property Services Companies – TOP 9 Brand value | billion | 9.5 | 16 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of concluded legal cases regarding corrupt practices | Case | - | - | - | 108 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| 2024 China’s Top Listed Property Services Companies in Corporate Governance (G) | Awarded | 6 | |
| Number of regional/extended segment company annual comprehensive audits completed | 8 | 30 | |
| Number of special audits completed | 7 | 30 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of Directors participated in anti-corruption training | Headcount | 5 | 109 | ||
| Number of staff participated in anti-corruption training | Headcount | 1000 | 230 | 210 | 109 |
| Total number of hours of anti-corruption training provided to staff | Hour | 1000 | 230 | 210 | 109 |
| Total number of hours on anti-corruption training provided to Directors | Hour | 5 | 109 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| 2024 Best ESG Practices for Property Management Listed Companies in China | Awarded | 6 | |
| Cities served | 82 | 14 | |
| TOP 6 of 2024 China Excellent Property Management Companies by ESG Development | 6 | 16 | |
| TOP 6 of 2024 Non-Residential Property Services of Property Management Service Listed Companies in China | 6 | 16 | |
| TOP 7 of Market Expansion Capability of the 2024 Property Management Listed Companies in China | 7 | 16 | |
| Top 11 of 2024 Top 100 Property Management Companies in China | rank | 11 | 6 |
| Top 6 of 2024 China Excellent Property Management Company by ESG Development | rank | 6 | 6 |
| Total investment in charitable donations | thousand RMB | 178.6 | 109 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Core net profit attributable to owners of the parent | RMB'000 | 175240 | 14 |
| Investment in community | thousand RMB | 50 | 109 |
| Investment in other areas | thousand RMB | 128.6 | 109 |
| Revenue | RMB'000 | 2388828 | 14 |
| Total equity | RMB'000 | 1443484 | 14 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Kilogram | 2.84 | 1.92 | 227.74 |
| NOₓ Emissions | Kilogram | 38.4 | 26.29 | 3554.99 |
| SOₓ Emissions | Kilogram | 1.6 | 3.5 | 7.82 |
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) | Tonne | 261.13 | 676.36 | 1655.31 |
| Indirect Energy Emissions (Scope 2) | Tonne | 25707.9 | 20663.34 | 19268.7 |
| Total GHG Emissions | Tonne | 25969.02 | 21339.71 | 20924.01 |
| Total GHG Emissions Intensity (By Revenue) | tonnes CO₂e per revenue in RMB (million) | 9.96 | 8.63 | 8.76 |
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 |
|---|---|---|---|---|
| Hazardous Waste (Used Batteries) | Kilogram | 801.56 | 1186.2 | 762.98 |
| Total Hazardous Waste | Kilogram | 8053.76 | 5971.77 | 5947.01 |
| Total Hazardous Waste Intensity (By Revenue) | Kilogram/revenue in RMB (million) | 3.09 | 2.42 | 2.49 |
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 (Domestic Waste) | Tonne | 1104.57 | 1830.63 | 4296.79 |
| Non-Hazardous Waste (Electronic Waste) | Kilogram | 802.74 | 882.43 | 651.78 |
| Total Non-Hazardous Waste Intensity (By Revenue) | Tonne/revenue in RMB (million) | 0.42 | 0.74 | 1.8 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Target Reduction in GHG Intensity Percentage by 2025 Compared to 2022 | % | -3 |
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 |
|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | MWh/revenue in RMB (million) | 17.69 | 15.73 | 17.69 |
| Diesel Fuel Consumption | Litre | 44583.16 | 62037.62 | 546862.79 |
| Gasoline Consumption | Litre | 58442.14 | 221125.61 | 51848.46 |
| LPG Consumption | Tonne | 3.53 | 1.03 | 0.97 |
| Natural Gas Consumption | m3 | 415 | 3143 | 53725 |
| Purchased Electricity | MWh | 45077.85 | 36232.41 | 35908.87 |
| Total Direct Energy Consumption | MWh | 1017.8 | 2642 | 6343.43 |
| Total Energy Consumption | MWh | 46095.65 | 38874.41 | 42252.3 |
| Total Indirect Energy Consumption | MWh | 45077.85 | 36232.41 | 35908.87 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | m3 | 996880.47 | 1834508.81 | 1753855.73 |
| Water Consumption Intensity (By Revenue) | m3/revenue in RMB (million) | 382.53 | 742.32 | 734.19 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 | 2024 |
|---|---|---|---|
| Electricity Usage Reduction Compared to Last Year | million kilowatt-hours | 3.043 | |
| Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | 2.358 | |
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | -5 |
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 |
|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % |
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 | Headcount | 4462 | 3550 | 3167 |
| Number of Employees Aged Above 50 | Headcount | 3219 | 2081 | 1277 |
| Number of Employees Aged Below 30 | Headcount | 1447 | 953 | 694 |
| Number of Employees in Hong Kong | Headcount | 3 | 3 | 4 |
| Number of Employees in Mainland China | Headcount | 9125 | 6581 | 5134 |
| Number of Female Employees | Headcount | 3560 | 2482 | 1855 |
| Number of Full-time Employees | Headcount | 9128 | 6584 | 5138 |
| Number of Male Employees | Headcount | 5568 | 4102 | 3283 |
| Number of Middle Management Employees | Headcount | 335 | 299 | 312 |
| Number of Senior Management Employees | Headcount | 31 | 31 | 21 |
| Number of Total Employees | Headcount | 9128 | 6584 | 5138 |
| Percentage of Employees Aged 30-50 | % | 48.89 | 53.93 | 61.66 |
| Percentage of Employees Aged Above 50 | % | 35.29 | 31.59 | 24.86 |
| Percentage of Employees Aged Below 30 | % | 15.86 | 14.48 | 13.51 |
| Percentage of Female Employees | % | 39.01 | 37.69 | 36.09 |
| Percentage of Full-time Employees | % | 100 | 100 | 100 |
| Percentage of Male Employees | % | 60.99 | 62.31 | 63.91 |
| Percentage of Middle Management Employees | % | 3.67 | 4.54 | 6.07 |
| Percentage of Senior Management Employees | % | 0.34 | 0.47 | 0.41 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 28.41 | 30.68 | 22.83 |
| Turnover Rate of Employees Aged Above 50 | % | 29.43 | 36.11 | 37.4 |
| Turnover Rate of Employees Aged Below 30 | % | 42.71 | 48.26 | 38.91 |
| Turnover Rate of Employees in Mainland China | % | 31.93 | 35.59 | 29.43 |
| Turnover Rate of Female Employees | % | 36.79 | 39.08 | 30.37 |
| Turnover Rate of Male Employees | % | 28.36 | 33.26 | 28.88 |
| Turnover Rate of Total Employees | % | 31.94 | 35.58 | 29.42 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | % | 0.02 | 0.02 | |
| Fatalities Rate of the Last 3 Years | % | 0.013333333333333334 | ||
| Number of Fatalities as a Result of Work-related Injuries | Headcount | 2 | 1 | |
| Number of Fatalities of the Last 3 Years | Headcount | 3 | ||
| Number of Work-related Fatalities | Headcount | 2 | 1 | |
| Work-related Fatalities Rate | % | 0.02 | 0.02 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 778 | 681 | 530 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Production Safety Emergency Drills | times | 14 |
| Participation Rate of Safety Training | % | 93.78 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 | 100 |
| Percentage of Trained Female Employees | % | 39 | 37.7 | 36.1 |
| Percentage of Trained Male Employees | % | 61 | 62.3 | 63.9 |
| Percentage of Trained Middle Management | % | 3.67 | 4.54 | 6.07 |
| Percentage of Trained Senior Management | % | 0.34 | 0.47 | 0.41 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hour | 29.71 | 52.39 | 32.48 |
| Average Training Hours (Male) | Hour | 25.49 | 52.39 | 33.83 |
| Average Training Hours (Middle Management) | Hour | 94.95 | 52.39 | 29.43 |
| Average Training Hours (Senior Management) | Hour | 90.45 | 52.39 | 9.62 |
| Average Training Hours per Employee | Hour | 27.14 | 52.39 | 33.34 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | Entity | 715 | 880 | 1115 |
| Number of Total Suppliers | Entity | 715 | 880 | 1115 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers Participating in ESG Training | Entity | 715 | 880 | 1115 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaint Growth Rate | percent | -35.23 | -32.18 | |
| Number of Products and Service Related Complaints | Time | 7458 | 4327 | 3135 |
| Total Number of Customer Complaints | Time | 14043 | 9090 | 6162 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Concluded Corruption Lawsuits | Case | - | - | - |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Directors and Management Attendance for Anti-corruption Training | Headcount | 5 | ||
| Number of General Employees Attendance for Anti-corruption Training | Headcount | 1000 | 230 | 210 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | Headcount | 1005 | ||
| Total Anti-corruption Training Hours for Directors and Management | Hour | 5 | ||
| Total Hours of Anti-corruption Training | Hour | 1005 | ||
| Total Hours of Anti-corruption Training for Employees | Hour | 1000 | 230 | 210 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Social Investment | thousand RMB | 178.6 |