2024 Sustainability 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 |
|---|---|---|---|---|---|
| Nitrogen oxides (NOx) | kg | 73.65 | 84.2 | 71.25 | 48 |
| Particulate matter (PM) | kg | 7.06 | 8.07 | 6.87 | 48 |
| Sulphur oxides (SOx) | kg | 0.18 | 0.25 | 0.21 | 48 |
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 |
|---|---|---|---|---|---|
| Direct greenhouse gas emissions (Scope 1) | tonne of CO2e | 34.34 | 36.91 | 25.97 | 48 |
| Greenhouse gas emissions intensity (area) | tonne of CO2e/m² | 0.034 | 0.04 | 0.047 | 48 |
| Indirect greenhouse gas emissions (Scope 2) | tonne of CO2e | 148.23 | 184.82 | 2715.94 | 48 |
| Scope 3 carbon emissions | tonne of CO2e | 75416.13 | 48 |
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 |
|---|---|---|---|---|---|
| Generation of used batteries | unit | 128 | 64 | 64 | 48 |
| Generation of used toner cartridges/ink boxes | unit | 602 | 652 | 568 | 48 |
| Recycling of used batteries | unit | 128 | 64 | 64 | 48 |
| Recycling of used computers | unit | 50 | 232 | 160 | 48 |
| Recycling of used toner cartridges/ink boxes | unit | 602 | 652 | 568 | 48 |
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 |
|---|---|---|---|---|---|
| Generation of non-hazardous waste | tonne | 0.34 | 0.38 | 6.36 | 48 |
| Generation of used computers | unit | 50 | 232 | 160 | 48 |
| Non-hazardous waste intensity (person) | tonne/person | 0.0005 | 0.0006 | 0.0092 | 48 |
| Paper consumption intensity (person) | tonne/person | 0.017 | 0.018 | 0.018 | 48 |
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 |
|---|---|---|---|---|---|
| Coverage of smart counters | % | 84.55 | 93.6 | 92.86 | 52 |
| Gasoline consumption by vehicles | liter | 12158 | 16858 | 14277 | 48 |
| Number of smart counters | unit | 196 | 228 | 239 | 52 |
| Total electricity consumption | MWh | 255.13 | 323.3 | 4377.02 | 48 |
| Total electricity consumption intensity (area) | MWh/m² | 0.04783 | 0.06584 | 0.07496 | 48 |
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 | 2304 | 3520 | 12158 | 48 |
| Total water consumption intensity (area) | m³/m² | 0.43 | 0.64 | 0.21 | 48 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Electronic bill paper saving | tonne | 1.52 | 1.63 | 1.79 | 48 |
| Total paper consumption | tonne | 10.51 | 11.98 | 12.38 | 48 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2030 | 2040 | 2050 | Report Pages |
|---|---|---|---|---|---|
| coal price, Disordered Transition – Delayed Transition scenario | US$2010/GJ | 2.15 | 2.06 | 3 | 22 |
| coal price, Greenhouse World – Current Policies scenario | US$2010/GJ | 2.15 | 2.2 | 2.24 | 22 |
| coal price, Ordered Transition – Net Zero 2050 scenario | US$2010/GJ | 1.98 | 2.35 | 4.34 | 22 |
| gas price, Disordered Transition – Delayed Transition scenario | US$2010/GJ | 6.15 | 7.21 | 8.46 | 22 |
| gas price, Greenhouse World – Current Policies scenario | US$2010/GJ | 6.15 | 6.46 | 6.63 | 22 |
| gas price, Ordered Transition – Net Zero 2050 scenario | US$2010/GJ | 6.96 | 8.32 | 11.12 | 22 |
| oil price, Disordered Transition – Delayed Transition scenario | US$2010/GJ | 15.92 | 16.33 | 16.14 | 22 |
| oil price, Greenhouse World – Current Policies scenario | US$2010/GJ | 15.92 | 15.9 | 15.61 | 22 |
| oil price, Ordered Transition – Net Zero 2050 scenario | US$2010/GJ | 16.82 | 17.54 | 19.07 | 22 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average attendance at meetings of the Board of Directors | % | 100 | 98 | 98 | 51 |
| Average attendance at meetings of the Board of Supervisors | % | 100 | 94 | 95 | 51 |
| Employee directors | person | 1 | 1 | 1 | 51 |
| Number of employee supervisors | person | 3 | 3 | 3 | 51 |
| Number of external supervisors | person | 3 | 2 | 3 | 51 |
| Number of female directors | person | 3 | 3 | 3 | 5, 51 |
| Number of general party branches | no. | 3 | 3 | 3 | 51 |
| Number of independent directors | person | 5 | 5 | 5 | 51 |
| Number of male directors | person | 12 | 12 | 12 | 51 |
| Number of non-executive directors | person | 4 | 4 | 4 | 51 |
| Number of party members | person | 1041 | 1049 | 1051 | 51 |
| Number of supervisors in the Board of Supervisors | person | 9 | 8 | 9 | 51 |
| Number of trade union member representative meetings, number of full member meetings, and number of worker’s representative meetings | times | 1 | 1 | 3 | 50 |
| Research and development personnels in digital finance-related departments | person | 118 | 122 | 118 | 52 |
| Total Number of Staff (by Age Group) - Aged 30-50 | person | 2453 | 2479 | 2464 | 49 |
| Total Number of Staff (by Age Group) - Aged below 30 | person | 655 | 662 | 805 | 49 |
| Total Number of Staff (by Age Group) - Aged over 50 | person | 151 | 178 | 190 | 49 |
| Total Number of Staff (by Gender) - Female staff | person | 1836 | 1872 | 1936 | 49 |
| Total Number of Staff (by Gender) - Male staff | person | 1423 | 1447 | 1523 | 49 |
| Total Number of Staff (by Geographical Region) - Staff from Shandong Province | person | 3006 | 3069 | 3215 | 49 |
| Total Number of Staff (by Geographical Region) - Staff outside Shandong Province | person | 253 | 250 | 244 | 49 |
| Total Number of Staff (by Staff Category) - Grassroots staff | person | 2363 | 2410 | 2485 | 49 |
| Total Number of Staff (by Staff Category) - Middle management | person | 886 | 899 | 963 | 49 |
| Total Number of Staff (by Staff Category) - Senior management | person | 10 | 10 | 11 | 49 |
| WeChat banking customers | ten thousand customers | 22.94 | 28.98 | 35.01 | 48, 52 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Staff Turnover Rate (by Age Group) - Aged 30-50 | % | 5.7 | 6 | 2.6 | 49 |
| Staff Turnover Rate (by Age Group) - Aged below 30 | % | 10 | 11 | 8.9 | 49 |
| Staff Turnover Rate (by Age Group) - Aged over 50 | % | 1.1 | 1.1 | 49 | |
| Staff Turnover Rate (by Gender) - Female staff | % | 5.7 | 5.1 | 3.5 | 49 |
| Staff Turnover Rate (by Gender) - Male staff | % | 7.1 | 8.9 | 4.7 | 49 |
| Staff Turnover Rate (by Geographical Region) - Staff from Shandong Province | % | 6.2 | 6.8 | 4.2 | 49 |
| Staff Turnover Rate (by Geographical Region) - Staff outside Shandong Province | % | 7.9 | 6.8 | 2 | 49 |
Lost days due to work injury.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Lost days due to work-related injuries | day | 264.5 | 228.5 | 50 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee satisfaction | % | 100 | 100 | 100 | 50 |
| Number of party members trained | person | 1041 | 1049 | 1051 | 51 |
| Percentage of Staff Trained (by Gender) - Female staff | % | 100 | 100 | 100 | 49 |
| Percentage of Staff Trained (by Gender) - Male staff | % | 100 | 100 | 100 | 49 |
| Percentage of Staff Trained (by Staff Category) - Grassroots staff | % | 100 | 100 | 100 | 49 |
| Percentage of Staff Trained (by Staff Category) - Middle management | % | 100 | 100 | 100 | 49 |
| Percentage of Staff Trained (by Staff Category) - Senior management | % | 100 | 100 | 100 | 49 |
| Person-times covered by information technology–related training | person-time | 1023 | 910 | 996 | 52 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average Number of Training Hours Per Staff (Grassroots staff) | hour | 40 | 42 | 43 | 50 |
| Average Number of Training Hours Per Staff (Middle management) | hour | 40 | 42 | 43 | 50 |
| Average Number of Training Hours Per Staff (Senior management) | hour | 40 | 42 | 43 | 50 |
| Average Number of Training Hours Per Staff (by Gender) - Female staff | hour | 40 | 42 | 43 | 49 |
| Average Number of Training Hours Per Staff (by Gender) - Male staff | hour | 40 | 42 | 43 | 49 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Agriculture-related loans to urban enterprises and various organizations | hundred million yuan | 25.03 | 44.8 | 62.16 | 50 |
| Balance of agriculture-related loans | hundred million yuan | 170.65 | 193.85 | 248.62 | 50 |
| Balance of inclusive assistance | hundred million yuan | 239.62 | 296.87 | 317.71 | 50 |
| Balance of loans to MSEs | RMB billion, hundred million yuan | 579.77 | 778.27 | 873.19 | 5, 50 |
| Balance of loans to SMEs | RMB billion, hundred million yuan | 949.32 | 1186.06 | 1267.22 | 5, 50 |
| Balance of loans to specialized focused and innovative SMEs | hundred million yuan | 39.54 | 52.03 | 63.96 | 50 |
| Balance of loans to technology enterprises | RMB billion, hundred million yuan | 28.81 | 50.95 | 101.14 | 5, 50 |
| Number of MSE franchised institutions | unit | 1 | 1 | 1 | 50 |
| Number of MSE loan customers | customer | 3232 | 8236 | 8817 | 50 |
| Number of suppliers by region – Domestic | no. | 184 | 197 | 118 | 52 |
| Other agriculture-related loans | hundred million yuan | 0.26 | 0.56 | 0.75 | 50 |
| Proportion of agriculture-related loan balance to total loan balance | % | 10.39 | 10.2 | 11.82 | 50 |
| Total number of suppliers | no. | 184 | 197 | 118 | 52 |
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 |
|---|---|---|---|---|---|
| Supplier review coverage | % | 100 | 100 | 100 | 52 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Complaint settlement rate | % | 100 | 100 | 100 | 52 |
| Customer complaint handling rate | % | 100 | 100 | 100 | 52 |
| Customer satisfaction | % | 100 | 100 | 100 | 52 |
| Manual service volume of remote banking | ten thousand person-times | 3.07 | 5.78 | 6.55 | 52 |
| Manual service volume of telephone banking | ten thousand person-times | 12.69 | 14.15 | 18.1 | 52 |
| Number of customer complaints | case | 11 | 59 | 47 | 52 |
| Number of technology enterprises served | customer | 629 | 843 | 1406 | 50 |
| Number of video conferences held | times | 6100 | 6200 | 6600 | 48 |
| Online banking customers | ten thousand customers | 59.79 | 65.31 | 69.77 | 52 |
| Outlets covered by smart counters | no. | 104 | 117 | 117 | 52 |
| Personal mobile banking customers | ten thousand customers | 253.31 | 319.4 | 380.78 | 48, 52 |
| Substitution rate of electronic banking channel | % | 85.36 | 86.68 | 86.18 | 52 |
| Telephone banking customers | ten thousand customers | 27.27 | 27.81 | 28.27 | 52 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of intellectual property rights | case | 6 | 6 | 6 | 52 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coverage person-time of training sessions on protecting customer rights and privacy | person-time | 526 | 557 | 562 | 52 |
| Expenditure on consumer rights protection | ten thousand yuan | 15 | 21 | 18 | 52 |
| Information technology-related trainings | no. | 20 | 17 | 18 | 52 |
| Number of information security training sessions | times | 13 | 11 | 224 | 52 |
| Number of training sessions on protecting customer rights and privacy | times | 7 | 9 | 7 | 52 |
| Person-time of information security training | person-time | 4182 | 4054 | 13276 | 52 |
| Self-service banking equipment | no. | 126 | 129 | 130 | 52 |
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 |
|---|---|---|---|---|---|
| Submission of block trade report | ten thousand copies | 41 | 38 | 38 | 51 |
| Submission of suspicious trade report | no. | 2328 | 1935 | 1327 | 51 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Comprehensive signing rate of electronic reconciliation | % | 98.46 | 98.73 | 98.4 | 48 |
| Number of issues considered or heard by the Board of Directors | no. | 72 | 60 | 82 | 51 |
| Number of issues considered or heard by the Board of Supervisors | no. | 72 | 68 | 83 | 51 |
| Number of issues considered or heard by the Shareholders’ General Meeting | no. | 18 | 13 | 19 | 51 |
| Number of meetings of the Board of Directors | times | 5 | 4 | 6 | 51 |
| Periodic reports, interim announcements, corporate governance documents, etc. disclosed during the Reporting Period | no. | 38 | 38 | 65 | 51 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coverage rate of compliance and warning education and training | % | 100 | 100 | 100 | 51 |
| Hours of compliance and warning education and training | hour | 25 | 30 | 35 | 51 |
| Number of anti-money laundering trainings | times | 21 | 23 | 123 | 51 |
| Number of compliance and warning education and training sessions | times | 6 | 7 | 8 | 51 |
| Number of executive directors | person | 5 | 5 | 5 | 51 |
| Number of meetings of the Board of Supervisors | times | 4 | 4 | 5 | 51 |
| Number of meetings of the Shareholders’ General Meeting | times | 1 | 1 | 3 | 51 |
| Number of members in the Board of Directors | person | 15 | 15 | 15 | 51 |
| Number of participants in compliance and warning education exam | ten thousand person-times | 2.47 | 2.54 | 2.64 | 51 |
| Number of person-times covered by anti-graft and anti-corruption training | ten thousand person-times | 0.96 | 1.24 | 1.34 | 5, 51 |
| Number of person-times covered by anti-money laundering training | person-time | 2775 | 5475 | 5204 | 5, 51 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Accumulated number of activities to popularize financial knowledge | times | 4 | 4 | 4 | 52 |
| Loans to rural enterprises and various organizations | hundred million yuan | 107.28 | 115.09 | 145.16 | 50 |
| Number of audiences benefiting from financial knowledge popularization | ten thousand person-times | 40 | 50 | 46 | 52 |
| Number of beneficiaries of public welfare and charity programs | person | 337 | 349 | 327 | 50 |
| Number of grassroots party committees under the party committee of the Head Office | no. | 18 | 18 | 19 | 51 |
| Number of party branches | no. | 72 | 73 | 75 | 51 |
| Number of shareholder supervisors | person | 3 | 3 | 3 | 51 |
| Proportion of loans to MSEs | % | 49.52 | 55.44 | 59.87 | 50 |
| Proportion of loans to SMEs | % | 81.08 | 84.49 | 85.58 | 50 |
| Tax contribution | ten thousand yuan | 150684.74 | 157474.89 | 171354.87 | 52 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Amount of employee assistance | ten thousand yuan | 5.56 | 5.9 | 3.72 | 50 |
| Amount of public welfare and charity donations | ten thousand yuan | 13 | 18 | 18 | 50 |
| Farmer loans | hundred million yuan | 38.08 | 33.4 | 40.55 | 50 |
| Number of SME loan customers | customer | 3503 | 8535 | 9136 | 50 |
| Total number of meetings | times | 10200 | 13900 | 14000 | 48 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 7.06 | 8.07 | 6.87 |
| NOₓ Emissions | kg | 73.65 | 84.2 | 71.25 |
| SOₓ Emissions | kg | 0.18 | 0.25 | 0.21 |
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 of CO2e | 34.34 | 36.91 | 25.97 |
| Indirect Energy Emissions (Scope 2) | tonne of CO2e | 148.23 | 184.82 | 2715.94 |
| Total GHG Emissions | tonne of CO2e | 182.57 | 221.73 | 78158.04 |
| Total GHG Emissions Intensity (By Area) | tonne of CO2e/m² | 0.034 | 0.04 | 0.047 |
| Total Other Indirect Energy Emissions (Scope 3) | tonne of CO2e | 75416.13 |
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 (Electronic and IT Equipment) | unit | 50 | 232 | 160 |
| Hazardous Waste (Used Batteries) | unit | 128 | 64 | 64 |
| Hazardous Waste Recycled | unit | 780 | 948 | 792 |
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 (Electronic Waste) | unit | 50 | 232 | 160 |
| Non-Hazardous Waste (Office Waste) | tonne | 0.34 | 0.38 | 6.36 |
| Total Non-Hazardous Waste Intensity (By Employee) | tonne/person | 0.0005 | 0.0006 | 0.0092 |
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 |
|---|---|---|---|---|
| Gasoline Consumption | liter | 12158 | 16858 | 14277 |
| Total Electricity Consumption Intensity (By Area) | MWh/m² | 0.04783 | 0.06584 | 0.07496 |
| Total Indirect Energy Consumption | MWh | 255.13 | 323.3 | 4377.02 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | m³ | 2304 | 3520 | 12158 |
| Water Consumption Intensity (By Revenue) | m³/m² | 0.43 | 0.64 | 0.21 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Packaging Material Consumption (Paper) | tonne | 10.51 | 11.98 | 12.38 |
| Packaging Material Savings | tonne | 1.52 | 1.63 | 1.79 |
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 | 2453 | 2479 | 2464 |
| Number of Employees Aged Above 50 | person | 151 | 178 | 190 |
| Number of Employees Aged Below 30 | person | 655 | 662 | 805 |
| Number of Employees in Mainland China | person | 3259 | 3319 | 3459 |
| Number of Female Employees | person | 1836 | 1872 | 1936 |
| Number of General Employees | person | 2363 | 2410 | 2485 |
| Number of Male Employees | person | 1423 | 1447 | 1523 |
| Number of Middle Management Employees | person | 886 | 899 | 963 |
| Number of Senior Management Employees | person | 10 | 10 | 11 |
| Number of Total Employees | person | 3259 | 3319 | 3459 |
| Percentage of Employees Aged 30-50 | % | 75.25 | 74.72 | 71.23 |
| Percentage of Employees Aged Above 50 | % | 4.63 | 5.36 | 5.49 |
| Percentage of Employees Aged Below 30 | % | 20.1 | 19.95 | 23.27 |
| Percentage of Employees in Mainland China | % | 100 | 100 | 100 |
| Percentage of Female Employees | % | 56.33 | 56.39 | 55.98 |
| Percentage of General Employees | % | 72.51 | 72.62 | 71.84 |
| Percentage of Male Employees | % | 43.67 | 43.61 | 44.02 |
| Percentage of Middle Management Employees | % | 27.18 | 27.08 | 27.84 |
| Percentage of Senior Management Employees | % | 0.31 | 0.3 | 0.32 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 5.7 | 6 | 2.6 |
| Turnover Rate of Employees Aged Above 50 | % | 1.1 | 1.1 | |
| Turnover Rate of Employees Aged Below 30 | % | 10 | 11 | 8.9 |
| Turnover Rate of Female Employees | % | 5.7 | 5.1 | 3.5 |
| Turnover Rate of Male Employees | % | 7.1 | 8.9 | 4.7 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | day | 264.5 | 228.5 |
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 | % | 100 | 100 | 100 |
| Percentage of Trained General Employees | % | 100 | 100 | 100 |
| Percentage of Trained Male Employees | % | 100 | 100 | 100 |
| Percentage of Trained Middle Management | % | 100 | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | hour | 40 | 42 | 43 |
| Average Training Hours (General Staff) | hour | 40 | 42 | 43 |
| Average Training Hours (Male) | hour | 40 | 42 | 43 |
| Average Training Hours (Middle Management) | hour | 40 | 42 | 43 |
| Average Training Hours (Senior Management) | hour | 40 | 42 | 43 |
| Average Training Hours per Employee | hour | 40 | 42 | 43 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | no. | 184 | 197 | 118 |
| Number of Total Suppliers | no. | 184 | 197 | 118 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaint Growth Rate | % | 436.36 | -20.34 | |
| Complaints Handling Rate | % | 100 | 100 | 100 |
| Satisfaction Rate of Customer Complaint Handling | % | 100 | 100 | 100 |
| Total Number of Customer Complaints | case | 11 | 59 | 47 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Intellectual Property Rights Obtained by the Company | case | 6 | 6 | 6 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 | 100 | 100 |
| Number of Anti-corruption Training Session | times | 6 | 7 | 8 |
| Number of Attendance for Anti-corruption Training | person-times | 9600 | 12400 | 13400 |
| Total Hours of Anti-corruption Training | hour | 25 | 30 | 35 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Public Welfare Donations | ten thousand yuan | 13 | 18 | 18 |