2024 Corporate Social Responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 Emissions (Range 1) | Ton-carbon dioxide equivalent | 164.14 | 136.46 | 139.8 | 62 |
| Direct GHG emissions: GHG emissions generated from fuel consumption | Ton-carbon dioxide equivalent | 136.46 | 139.8 | 29 | |
| Indirect Emission (Range 2) | Ton-carbon dioxide equivalent | 11490.4 | 12154.28 | 10903.06 | 62 |
| Indirect GHG emissions: GHG emissions generated from electricity and paper consumption | Ton-carbon dioxide equivalent | 12154.28 | 10903.06 | 29 | |
| Indirect GHG emissions: GHG emissions generated from high-carbon credit assets | Ton-carbon dioxide equivalent | 7302200.76 | 6297721.56 | 29 | |
| Indirect emissions (Scope 2) from Guangdong Power Grid | tonnes of CO2 per megawatt-hour | 0.4403 | 63 | ||
| Total GHG emissions | Ton-carbon dioxide equivalent | 7314491.5 | 6308764.42 | 29 | |
| Total Greenhouse Gas Emission Density | Tons–Carbon Dioxide Equivalent/m² | 0.1 | 0.11 | 0.1 | 62 |
| Total Greenhouse Gas Emissions | Ton-carbon dioxide equivalent | 11632.15 | 12290.74 | 11042.86 | 62 |
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 |
|---|---|---|---|---|---|
| Intensity of office paper consumption | Kg/person | 8.88 | 8.49 | 7.12 | 62 |
| Waste Electronic Equipment | Piece | 744 | 332 | 1068 | 62 |
| Waste electronic equipment/person | Pieces/person | 0.3 | 0.14 | 0.42 | 62 |
| Waste electronic equipment/person (GRCB Head Office: Xinke Mansion, Tennis & Badminton Center, Jing Yun Building, Panyu Training Center) | not disclosed | 63 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|
| GHG emissions reduced by green credit assets | Ton-carbon dioxide equivalent | 258542.22 | 448227.36 | 29 | |
| Proportion of free quota for the non-metallic mineral products industry | % | 96 | 85 | 28 |
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 |
|---|---|---|---|---|---|
| Amount of fuel consumed by own transport vehicles | Litre | 7890.53 | 6975.16 | 29 | |
| Annual intensity of electricity consumption | KWH/m² | 190.46 | 201.51 | 216.4 | 62 |
| Direct energy consumption - Gasoline | Liter | 8076.99 | 7890.53 | 6975.16 | 62 |
| Direct energy consumption - Liquefied Natural Gas | Ton | 5.35 | 2.74 | 2.46 | 62 |
| Direct energy consumption - Natural gas | m³ | 61078 | 51616 | 54542 | 62 |
| Electricity consumed by business and office premises | MWH | 23022.56 | 24725.28 | 29 | |
| Energy consumption density | kg of standard coal/m² | 23.51 | 25.48 | 27.28 | 62 |
| Gasoline consumption of official cars | Liter | 8076.99 | 7890.53 | 6975.16 | 62 |
| Gasoline consumption of official vehicles, year-on-year change | % | -11.6 | 30 | ||
| Gasoline use in official vehicles | decreased compared to 2023 | 63 | |||
| Indirect energy consumption - Outsourcing power | MWH | 21761.44 | 23022.56 | 24725.28 | 62 |
| Liquefied natural gas consumption in business | Ton | 2.74 | 2.46 | 29 | |
| Natural gas consumed by business and office premises | m3 | 51616 | 54542 | 29 | |
| Total Energy Consumption | Tonnes of standard coal | 2683.36 | 2911.53 | 3116.77 | 62 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Annual intensity of water consumption | m³/m² | 1.34 | 1.11 | 1.02 | 62 |
| Bank office water density | cubic meters/square meter | 1.02 | 30 | ||
| Office Water | m³ | 152580 | 126355 | 117056 | 62 |
| Water consumed by business and office activities | Ton | 126335 | 117056 | 29 |
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 |
|---|---|---|---|---|---|
| Amount of green bill business | RMB100 million | 0.24 | 1.11 | 29 | |
| Amount of green bills issued | billion RMB | 13.7 | 37 | ||
| Office Paper Consumption | Ton | 21.7 | 20.76 | 17.96 | 62 |
| Paper used in business and office premises | Ton | 20.76 | 17.96 | 29 |
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 |
|---|---|---|---|
| Number of green bills issued | 795 | 37 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| 29 years old and under | Person | 1927 | 1844 | 1959 | 64 |
| 30-49 years old | Person | 5505 | 5348 | 5192 | 64 |
| 50 years old or above | Person | 1428 | 1559 | 1680 | 64 |
| China Mainland | Person | 8853 | 8743 | 8824 | 64 |
| Female staff | Person | 4108 | 4039 | 4089 | 64 |
| General staff | Person | 7624 | 7427 | 7429 | 64 |
| Hong Kong, Macau, Taiwan | Person | 7 | 8 | 7 | 64 |
| Junior college and below | Person | 2216 | 2059 | 1859 | 64 |
| Male staff | Person | 4752 | 4712 | 4742 | 64 |
| Management Level | Person | 982 | 1063 | 1122 | 64 |
| Middle-level management | Person | 246 | 251 | 273 | 64 |
| Number of Board of Supervisors meeting reports received | 24 | 56 | |||
| Number of Board of Supervisors meeting resolutions deliberated | 33 | 56 | |||
| Number of Board of Supervisors meetings convened | 6 | 56 | |||
| Number of Staff Eligible for Retirement in the Next Five Years | Person | 970 | 794 | 998 | 65 |
| Number of Staff on Maternity Leave and Waiting for Maternity Leave | Person | 235 | 237 | 245 | 65 |
| Postgraduate or above | Person | 1163 | 1141 | 1223 | 64 |
| Senior management | Person | 8 | 10 | 7 | 64 |
| Signing rate of contracts for all staff of the Bank | % | 100 | 46 | ||
| Total number of staff | Person | 8860 | 8751 | 8831 | 64 |
| Undergraduate | Person | 5481 | 5551 | 5749 | 64 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total turnover rate of staff | Percentage | 3.16% | 4.58% | 3.00% | 65 |
| Turnover rate of China Mainland staff as a percentage of total turnover | Percentage | 100.00% | 100.00% | 100.00% | 66 |
| Turnover rate of Hong Kong, Macau and Taiwan staff as a percentage of total turnover | Percentage | 0.00% | 0.00% | 0.00% | 66 |
| Turnover rate of female staff as a percentage of total turnover | Percentage | 47.50% | 53.87% | 49.43% | 65 |
| Turnover rate of general staff as a percentage of total turnover | Percentage | 93.93% | 94.76% | 92.45% | 65 |
| Turnover rate of male staff as a percentage of total turnover | Percentage | 52.50% | 46.13% | 50.57% | 65 |
| Turnover rate of middle-level management as a percentage of total turnover | Percentage | 0.71% | 0.25% | 1.51% | 65 |
| Turnover rate of overseas staff as a percentage of total turnover | Percentage | 0.00% | 0.00% | 0.00% | 66 |
| Turnover rate of senior management as a percentage of total turnover | Percentage | 0.00% | 0.50% | 0.38% | 65 |
| Turnover rate of staff of 29 years old and under as a percentage of total turnover | Percentage | 45.00% | 52.37% | 45.66% | 65 |
| Turnover rate of staff of 30-49 years old as a percentage of total turnover | Percentage | 42.50% | 40.15% | 43.40% | 65 |
| Turnover rate of staff of 50 years old or above as a percentage of total turnover | Percentage | 12.50% | 7.48% | 10.94% | 65 |
| Turnover rate of staff with junior college and below degree as a percentage of total turnover | Percentage | 18.93% | 12.47% | 14.34% | 65 |
| Turnover rate of staff with postgraduate or above degree as a percentage of total turnover | Percentage | 25.36% | 28.68% | 27.55% | 65 |
| Turnover rate of staff with undergraduate degree as a percentage of total turnover | Percentage | 55.71% | 58.85% | 58.11% | 65 |
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 |
|---|---|---|---|---|---|
| Numbers of work-related injuries | Times | 6 | 9 | 6 | 66 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total number of days lost due to work-related injuries | Days | 264 | 622 | 278 | 66 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| General staff training | Percentage, Person-time | 100% | 99.80% | 84048 | 66, 67 |
| Number of 'first priority' study sessions conducted by Party Committee's central study group | sessions | 49 | 54 | ||
| Number of targeted 'Party Building Lectures' training sessions organized | sessions | 20 | 54 | ||
| Number of theoretical study sessions conducted by Party Committee's central study group | sessions | 12 | 54 | ||
| Number of training sessions for female staff | Person-time | 37225 | 45443 | 50808 | 66 |
| Number of training sessions for male staff | Person-time | 40327 | 49557 | 54803 | 66 |
| Total Training Attendance | Person-time | 77552 | 95000 | 105611 | 66 |
| Training for middle-level management staff | Percentage, Person-time | 100% | 100% | 1254 | 66, 67 |
| Training for senior management staff | Percentage, Person-time | 114 | 118 | 100% | 66, 67 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours for all staff | Hours/Person | 102 | 98.49 | 108.6 | 67 |
| Average training hours for female staff | Hours/Person | 105 | 101.2 | 112.16 | 67 |
| Average training hours for male staff | Hours/Person | 100 | 96.02 | 105.3 | 67 |
| Average training hours for middle-level management staff | Hours/Person | 139 | 104.47 | 124.66 | 67 |
| Average training hours for senior management staff | Hours/Person | 56 | 86.95 | 104.55 | 67 |
| General training hours for general staff | Hours/Person | 101 | 96.24 | 108.92 | 67 |
| Percentage of training sessions for female staff | Percentage | 100% | 99.90% | 99.80% | 66 |
| Percentage of training sessions for male staff | Percentage | 100% | 99.70% | 99.50% | 66 |
| Total training hours for all staff | Hour | 832043 | 793764.55 | 881299.14 | 67 |
| Total training time for female staff | Hour | 409775 | 390112.3 | 437863.34 | 67 |
| Total training time for general staff | Hour | 694640 | 626027.25 | 714437.64 | 67 |
| Total training time for male staff | Hour | 422267 | 403652.25 | 443435.8 | 67 |
| Total training time for middle-level management staff | Hour | 33809 | 26118.3 | 31165.8 | 67 |
| Total training time for senior management staff | Hour | 446 | 869.5 | 1254.6 | 67 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Agricultural loans under 'hundreds of counties, thousands of towns, and tens of thousands of villages' project | billion RMB | 40.135 | 37 | ||
| Balance of advanced manufacturing loans | billion RMB | 47.4 | 36 | ||
| Balance of funds raised from green financial bond | billion RMB | 2.798 | 37 | ||
| Balance of green loans in Qingyuan, northern ecological development zone | billion RMB | 1.42 | 37 | ||
| Balance of green loans in northern ecological development zone | billion RMB | 1.8 | 37 | ||
| Balance of investments in green bonds | RMB100 million | 13.18 | 14.47 | 29 | |
| Balance of loans for 64 key construction projects | billion RMB | 59.9 | 36 | ||
| Balance of loans to enterprises in Nansha District | billion RMB | 26 | 36 | ||
| Balance of loans to enterprises in the Hengqin Guangdong-Macao In-Depth Cooperation Zone | billion RMB | 20 | 36 | ||
| Balance of loans to technology-based enterprises | billion RMB | 83.077 | 36 | ||
| Disbursement of loans | billion RMB | 69.673 | 39 | ||
| Growth rate of inclusive loans to small and micro enterprises | % | 13.62 | 39 | ||
| Increase in number of customers for mobile banking from beginning of the year | 13% | 42 | |||
| Number of suppliers by region - Domestic | Individual | 569 | 616 | 643 | 68 |
| Number of suppliers by region - Overseas | Individual | 5 | 3 | 3 | 68 |
| Small and medium-sized loans balance | billion RMB | 100 | 36 | ||
| Year-on-year increase in advanced manufacturing loans | percent | 7.4 | 36 | ||
| Year-on-year increase in balance of loans for 64 key construction projects | percent | 6.5 | 36 | ||
| Year-on-year increase in loans for enterprises ensuring stable agricultural production and supply of agricultural products | 6.1% | 38 | |||
| Year-on-year increase in loans for enterprises in modern urban agricultural chain | 2.51% | 38 | |||
| Year-on-year increase in loans for enterprises involved in the shopping basket program in the Guangdong-Hong Kong-Macao Greater Bay Area | 20.77% | 38 | |||
| Year-on-year increase in manufacturing loans | percent | 8.8 | 36 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Year-on-year increase of green loans in northern ecological development zone | 36.4% | 37 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Amount of customers' losses recovered | million RMB | 86.44 | 43 | ||
| Amount of losses recovered for customers | million RMB | 14.03 | 43 | ||
| Cumulative users of intelligent voice navigation system | million | 1.8 | 42 | ||
| Customer complaints - Complaint acceptance rate | Percentage | 100% | 100% | 100% | 68 |
| Customer complaints - Complaints | Cases | 1263 | 1842 | 1478 | 68 |
| Customer satisfaction for the Care Service Hotline | % | 99 | 39 | ||
| Customer satisfaction with complaint handling | Percentage | 92.81% | 94.73% | 95.00% | 68 |
| Customer service satisfaction rate | Percentage | 98.56% | 98.79% | 98.58% | 68 |
| Number of announcements released for information disclosure | 78 | 56 | |||
| Number of customers for mobile banking | million | 46.878 | 42 | ||
| Number of customers reached by intelligent outbound calling service | million | 10 | 42 | ||
| Number of scenarios for artificial intelligence application put into practice | 140 | 42 | |||
| Proportion of intelligent services in mobile banking customer interactions | nearly 60% | 42 | |||
| Year-on-year increase in small and medium-sized loans | percent | 50 | 36 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of process-handling operations for artificial intelligence application | 50000 | 42 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Number of fraud cases blocked | cases | 41 | 43 |
| Number of resolutions deliberated at general meetings of shareholders | 18 | 56 | |
| Underwriting amount of green bonds | billion RMB | 82.91 | 37 |
| Weighted average interest rate of loan disbursement | % | 3.4 | 39 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of Board meeting notifications heard | 42 | 56 | |
| Number of Board meeting resolutions reviewed | 112 | 56 | |
| Number of Board meetings (including written resolutions) held | 17 | 56 | |
| Number of inspections carried out at head office for regulatory execution | inspections | 289 | 57 |
| Number of inspections conducted by operational institutions for regulatory execution | inspections | 1561 | 57 |
| Number of integrity financial culture promotion poster promotions | poster promotions | 269 | 58 |
| Number of integrity financial culture promotion slogans collected | slogans | 239 | 58 |
| Number of reports heard at general meetings of shareholders | 5 | 56 | |
| Number of risk events actively detected | cases | 227 | 43 |
| Number of risk monitoring business transactions handled | 250000 | 43 | |
| Number of security education and awareness campaigns conducted | 63 | 43 | |
| Number of supervisory talks with top leaders conducted | talks | 17 | 57 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Anti-corruption training - Number of trainings | Times | 250 | 315 | 68 | |
| Anti-money laundering training - Number of trainings | Times | 188 | 170 | 169 | 68 |
| Number of anti-money laundering training sessions conducted | sessions | 169 | 58 | ||
| Number of personnel covered by anti-money laundering training | personnel | 59260 | 58 | ||
| Number of persons covered by anti-corruption training | Person-time | 7623 | 8022 | 68 | |
| Number of persons covered by anti-money laundering training | Person-time | 77255 | 76563 | 59260 | 68 |
| Number of training sessions for directors on anti-corruption, integrity, and compliance | sessions | 4 | 57 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Green loan balance | RMB100 million | 432.49 | 603.1 | 29 |
| Green loan customer | Number | 462 | 1684 | 29 |
| Number of Party member representatives organized to visit exhibition of documents | representatives | 52 | 58 | |
| Number of administrative villages with full coverage of financial village officials in agriculture-related districts in Guangzhou | villages | 55 | 38 | |
| Number of farmers supported in Nansha Fishery Industrial Park | 14000 | 36 | ||
| Number of general meetings of shareholders convened | 2 | 56 | ||
| Number of grassroots engagement sessions conducted | 21 | 46 | ||
| Number of inclusive small and micro enterprise products launched | 49 | 39 | ||
| Proportion of public green credit | % | 14.29 | 30 | |
| Volume of green bill business | Transaction | 11 | 145 | 29 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Amount of loans for enterprises ensuring stable agricultural production and supply of agricultural products | million RMB | 136 | 38 | ||
| Amount of loans for enterprises in modern urban agricultural chain | million RMB | 242 | 38 | ||
| Amount of loans for enterprises involved in the shopping basket program in the Guangdong-Hong Kong-Macao Greater Bay Area | million RMB | 453 | 38 | ||
| Amount of loans to marine ranching enterprises under Aquaculture Loan model in Nansha | billion RMB | 3.4 | 38 | ||
| Cumulative credit funds for fishery enterprises | million RMB | 70 | 36 | ||
| Cumulative financial support for small and micro enterprises | billion RMB | 1851.668 | 39 | ||
| Cumulative financial support for small and micro enterprises during the Reporting Period | million RMB | 871.6887 | 39 | ||
| Cumulative re-loans utilized for supporting small businesses | billion RMB | 89.622 | 39 | ||
| Increase in inclusive loans to small and micro enterprises from beginning of the year | billion RMB | 186.195 | 39 | ||
| Manufacturing loans balance | billion RMB | 152.1 | 36 | ||
| Number of people involved in warning education activities | people | 8000 | 58 | ||
| Number of small and micro enterprises and private small and medium-sized enterprises supported | 3631 | 39 | |||
| Number of small yet-fruitful characteristic products among inclusive small and micro enterprise products | 33 | 39 | |||
| Total charitable investment | RMB Ten thousand | 819.72 | 650 | 620 | 68 |
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) | Ton-carbon dioxide equivalent | 164.14 | 136.46 | 139.8 |
| Indirect Energy Emissions (Scope 2) | Ton-carbon dioxide equivalent | 11490.4 | 12154.28 | 10903.06 |
| Total GHG Emissions | Ton-carbon dioxide equivalent | 11632.15 | 12290.74 | 11042.86 |
| Total GHG Emissions Intensity (By Area) | Tons–Carbon Dioxide Equivalent/m² | 0.1 | 0.11 | 0.1 |
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) | Piece | 744 | 332 | 1068 |
| Total Non-Hazardous Waste Intensity (By Employee) | Pieces/person | 0.3 | 0.14 | 0.42 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| GHG Emissions Reduction Compared to Last Year | Ton-carbon dioxide equivalent | 258542.22 | 448227.36 |
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 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | kg of standard coal/m² | 23.51 | 25.48 | 27.28 |
| Gasoline Consumption | Liter | 8076.99 | 7890.53 | 6975.16 |
| LNG Consumption | Ton | 5.35 | 2.74 | 2.46 |
| Natural Gas Consumption | m³ | 61078 | 51616 | 54542 |
| Purchased Electricity | MWH | 21761.44 | 23022.56 | 24725.28 |
| Total Electricity Consumption Intensity (By Area) | KWH/m² | 190.46 | 201.51 | 216.4 |
| Total Energy Consumption | Tonnes of standard coal | 2683.36 | 2911.53 | 3116.77 |
| Total Indirect Energy Consumption | MWH | 21761.44 | 23022.56 | 24725.28 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption Intensity (By Revenue) | m³/m² | 1.34 | 1.11 | 1.02 |
| Water Consumption in Office | m³ | 152580 | 126355 | 117056 |
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) | Ton | 21.7 | 20.76 | 17.96 |
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 Bachelor's Degree Employees | Person | 5481 | 5551 | 5749 |
| Number of Below Junior College Employees | Person | 2216 | 2059 | 1859 |
| Number of Employees Aged 30-50 | Person | 5505 | 5348 | 5192 |
| Number of Employees Aged Above 50 | Person | 1428 | 1559 | 1680 |
| Number of Employees Aged Below 30 | Person | 1927 | 1844 | 1959 |
| Number of Employees in Hong Kong | Person | 7 | 8 | 7 |
| Number of Employees in Mainland China | Person | 8853 | 8743 | 8824 |
| Number of Female Employees | Person | 4108 | 4039 | 4089 |
| Number of General Employees | Person | 7624 | 7427 | 7429 |
| Number of Male Employees | Person | 4752 | 4712 | 4742 |
| Number of Master's Degree Employees | Person | 1163 | 1141 | 1223 |
| Number of Middle Management Employees | Person | 246 | 251 | 273 |
| Number of Senior Management Employees | Person | 8 | 10 | 7 |
| Number of Total Employees | Person | 8860 | 8751 | 8831 |
| Percentage of Bachelor's Degree Employees | % | 61.87 | 63.47 | 65.13 |
| Percentage of Below Junior College Employees | % | 25.03 | 23.53 | 21.06 |
| Percentage of Employees Aged 30-50 | % | 62.15 | 61.12 | 58.78 |
| Percentage of Employees Aged Above 50 | % | 16.12 | 17.81 | 19.03 |
| Percentage of Employees Aged Below 30 | % | 21.76 | 21.08 | 22.19 |
| Percentage of Employees in Hong Kong | % | 0.08 | 0.09 | 0.08 |
| Percentage of Employees in Mainland China | % | 99.92 | 99.9 | 99.92 |
| Percentage of Female Employees | % | 46.35 | 46.15 | 46.3 |
| Percentage of General Employees | % | 86.09 | 84.9 | 84.15 |
| Percentage of Male Employees | % | 53.65 | 53.85 | 53.7 |
| Percentage of Master's Degree Employees | % | 13.13 | 13.04 | 13.85 |
| Percentage of Middle Management Employees | % | 2.78 | 2.87 | 3.09 |
| Percentage of Senior Management Employees | % | 0.09 | 0.11 | 0.08 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Bachelor's Degree Employees | Percentage of total turnover | 55.71 | 58.85 | 58.11 |
| Turnover Rate of Below Junior College Employees | Percentage of total turnover | 18.93 | 12.47 | 14.34 |
| Turnover Rate of Employees Aged 30-50 | Percentage of total turnover | 42.5 | 40.15 | 43.4 |
| Turnover Rate of Employees Aged Above 50 | Percentage of total turnover | 12.5 | 7.48 | 10.94 |
| Turnover Rate of Employees Aged Below 30 | Percentage of total turnover | 45 | 52.37 | 45.66 |
| Turnover Rate of Employees in Mainland China | Percentage of total turnover | 100 | 100 | 100 |
| Turnover Rate of Female Employees | Percentage of total turnover | 47.5 | 53.87 | 49.43 |
| Turnover Rate of General Employees | Percentage of total turnover | 93.93 | 94.76 | 92.45 |
| Turnover Rate of Male Employees | Percentage of total turnover | 52.5 | 46.13 | 50.57 |
| Turnover Rate of Master's Degree Employees | Percentage of total turnover | 25.36 | 28.68 | 27.55 |
| Turnover Rate of Middle Management Employees | Percentage of total turnover | 0.71 | 0.25 | 1.51 |
| Turnover Rate of Senior Management Employees | Percentage of total turnover | 0.5 | 0.38 | |
| Turnover Rate of Total Employees | Percentage | 3.16 | 4.58 | 3 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Days | 264 | 622 | 278 |
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 | Percentage | 100 | 99.8 | 99.7 |
| Percentage of Trained Middle Management | Percentage | 100 | 100 | 100 |
| Percentage of Trained Senior Management | Percentage | 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) | Hours/Person | 105 | 101.2 | 112.16 |
| Average Training Hours (General Staff) | Hours/Person | 101 | 96.24 | 108.92 |
| Average Training Hours (Male) | Hours/Person | 100 | 96.02 | 105.3 |
| Average Training Hours (Middle Management) | Hours/Person | 139 | 104.47 | 124.66 |
| Average Training Hours (Senior Management) | Hours/Person | 56 | 86.95 | 104.55 |
| Average Training Hours per Employee | Hours/Person | 102 | 98.49 | 108.6 |
| Total Training Hours | Hour | 832043 | 793764.55 | 881299.14 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | Individual | 569 | 616 | 643 |
| Number of Suppliers in Overseas | Individual | 5 | 3 | 3 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaint Growth Rate | Percentage | 45.85 | -19.77 | |
| Complaints Handling Rate | Percentage | 100 | 100 | 100 |
| Number of Complaints Dealt with | Cases | 1263 | 1842 | 1478 |
| Number of Products and Service Related Complaints | Cases | 1263 | 1842 | 1478 |
| Satisfaction Rate of Customer Complaint Handling | Percentage | 92.81 | 94.73 | 95 |
| Total Number of Customer Complaints | Cases | 1263 | 1842 | 1478 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit |
|---|---|
| Number of Intellectual Property Rights Obtained by the Company |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Anti-corruption Training Session | Times | 250 | 315 |
| Number of Attendance for Anti-corruption Training | Person-time | 7623 | 8022 |
| Number of Directors and Management Attendance for Anti-corruption Training | sessions | 4 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Social Investment | RMB Ten thousand | 819.72 | 650 | 620 |