2024 Corporate Social Responsibility Report (Environmental, Social and Governance Report)
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Reduction in COD by sewage project | tons/year | 5418.6 | 28 |
Reduction in ammonia nitrogen by sewage project | tons/year | 674.8 | 28 |
Reduction in total nitrogen by sewage project | tons/year | 43.42 | 28 |
Reduction in total phosphorus by sewage project | tons/year | 15.06 | 28 |
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 |
---|---|---|---|---|---|
Carbon dioxide emissions reduced by biomass project | tons | 42000 | 28 | ||
Direct greenhouse gas emissions | 10000 tons of carbon dioxide | 0.008 | 0.007 | 0.005 | 38 |
Direct greenhouse gas emissions per capita | tons of carbon dioxide/per capita | 0.01 | 0.01 | 0.01 | 38 |
Greenhouse gas emissions per capita | tons of carbon dioxide/per capita | 4.14 | 4.66 | 3.21 | 38 |
Indirect greenhouse gas emissions | 10000 tons of carbon dioxide | 2.39 | 2.65 | 1.87 | 38 |
Indirect greenhouse gas emissions per capita | tons of carbon dioxide/per capita | 4.13 | 4.65 | 3.21 | 38 |
Total greenhouse gas emissions | 10000 tons of carbon dioxide | 2.4 | 2.66 | 1.87 | 38 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Waste processing capacity supported by biomass project | tons/day | 600 | 28 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Nitrogen oxides emissions reduced by biomass project | tons | 83.27 | 28 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Sulfur dioxide emissions reduced by biomass project | tons | 514.78 | 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 |
---|---|---|---|---|---|
Diesel consumption of official vehicles | liter | 101630.9 | 90151.01 | 41430.58 | 38 |
Estimated annual power generation by biomass project | million kWh | 59 | 28 | ||
Gasoline consumption of official vehicles | liter | 24720 | 20199 | 15735.27 | 38 |
Installed capacity of distributed photovoltaic projects in Dongguan City | kW | 43412.9 | 28 | ||
Number of smart device-enabled transactions | million transactions | 5.81 | 29 | ||
Number of smart machines put into service | 391 | 557 | 617 | 36 | |
Purchased power | KWH | 40894858 | 46591287 | 42368300 | 38 |
Standard coal avoided by biomass project | tons | 18000 | 28 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Water consumption in office | ton | 265895 | 117259 | 112825 | 38 |
Water consumption in office per unit area | tons/square meter | 2.12 | 0.87 | 0.84 | 38 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Cumulative proceeds of green bonds | billion RMB | 4.5 | 28 | ||
Yearly growth in the number of green enterprises supported | Number | 14 | 7 | 49 | 38 |
Yearly growth rate of loans to support green enterprises | % | 24.7 | 35.49 | 24.63 | 38 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of employees aged 30-50 | Number of people | 5455 | 5422 | 5739 | 37 |
Number of employees in Dongguan, where the head office is located | Number of people | 5725 | 5666 | 5677 | 37 |
Number of employees in other parts of the province | Number of people | 2255 | 2255 | 2199 | 37 |
Number of employees outside the province | Number of people | 59 | 59 | 59 | 37 |
Number of employees over 50 | Number of people | 874 | 838 | 489 | 37 |
Number of employees under 30 | Number of people | 1680 | 1664 | 1631 | 37 |
Number of female employees | Number of people | 3293 | 3261 | 3249 | 37 |
Number of full-time employees | Number of people | 8009 | 7924 | 7859 | 37 |
Number of individuals benefiting from start-up business loan | Number of people | 668 | 1298 | 496 | 37 |
Number of male employees | Number of people | 4716 | 4663 | 4610 | 37 |
Proportion of employees aged 30-50 | % | 68.11 | 68.43 | 73.08 | 37 |
Proportion of employees in Dongguan, where the head office is located | % | 71.48 | 71.5 | 72.24 | 37 |
Proportion of employees in cities other than Dongguan in the province | % | 27.78 | 27.75 | 27.01 | 37 |
Proportion of employees outside the province | % | 0.74 | 0.75 | 0.75 | 37 |
Proportion of employees over 50 | % | 10.91 | 10.59 | 6.16 | 37 |
Proportion of employees under 30 | % | 20.98 | 20.18 | 20.76 | 37 |
Proportion of female employees | % | 41.12 | 41.15 | 41.34 | 37 |
Proportion of full-time employees | % | 100 | 100 | 100 | 37 |
Proportion of male employees | % | 58.88 | 58.81 | 58.68 | 37 |
ROE | % | 11.72 | 9.61 | 8.1 | 36 |
Total assets | RMB billion | 657.69 | 708.854 | 745.904 | 36 |
Total employees of the Group | Number of people | 8009 | 7924 | 7859 | 37 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Female employee turnover rate | % | 1.99 | 2.23 | 1.87 | 37 |
Male employee turnover rate | % | 1.59 | 1.62 | 1.81 | 37 |
Number of employees aged 30-50 years that quit jobs compared with the previous year | Number of people | 87 | 84 | 60 | 37 |
Number of employees over 50 that quit job compared with the previous year | Number of people | 4 | 3 | 2 | 37 |
Number of employees under 30 that quit jobs compared with the previous year | Number of people | 55 | 84 | 63 | 37 |
Operating income | RMB billion | 13.236 | 13.26 | 12.312 | 36 |
Turnover rate of employee in other regions of the province | % | 1.83 | 2.08 | 2.24 | 37 |
Turnover rate of employees aged 30-50 | % | 1.59 | 1.18 | 1.11 | 37 |
Turnover rate of employees in Dongguan where the head office is located | % | 1.41 | 1.37 | 1.66 | 37 |
Turnover rate of employees outside the province | % | 11.38 | 1.69 | 37 | |
Turnover rate of employees over 50 | % | 0.48 | 0.36 | 0.41 | 37 |
Turnover rate of employees under 30 | % | 3.29 | 5.05 | 3.54 | 37 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of deaths at work | Number of people | 1 | 37 |
Proportion of work-related deaths at work | % | 0.01 | 37 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of working days lost due to work-related injuries | Number of days | 630 | 563 | 549 | 37 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of female employees trained | Number of people | 2383 | 38 |
Number of male employees trained | Number of people | 3272 | 38 |
Number of managerial-level employees trained | Number of people | 163 | 38 |
Number of senior management trained | Number of people | 8 | 38 |
Proportion of female staff trained | % | 100 | 38 |
Proportion of grass-roots employees trained | % | 100 | 38 |
Proportion of male employees trained | % | 100 | 38 |
Proportion of managerial-level employees trained | % | 100 | 38 |
Proportion of senior management trained | % | 100 | 38 |
Proportion of total employees trained | % | 100 | 38 |
Total number of employees trained | Number of people | 5656 | 38 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Average training hours for all employees | Hours | 57.77 | 38 |
Average training hours for female employees | Hours | 56.99 | 38 |
Average training hours for grassroot employees | Hours | 57.13 | 38 |
Average training hours for male employees | Hours | 58.35 | 38 |
Average training hours for managerial-level employees | Hours | 76.88 | 38 |
Average training hours for senior management | Hours | 109.24 | 38 |
Number of grass-roots employees trained | Number of people | 5485 | 38 |
Total training hours for all employees | Hours | 326756.01 | 38 |
Training hours for female employees | Hours | 135797.49 | 38 |
Training hours for grassroots employees | Hours | 313350.81 | 38 |
Training hours for male employees | Hours | 190934.8 | 38 |
Training hours for managerial-level employees | Hours | 12531.3 | 38 |
Training hours for senior management | Hours | 873.9 | 38 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Agriculture-related loan balance | RMB billion | 339.99 | 385.36 | 396.4 | 36 |
Balance of green bonds | billion RMB | 10.42 | 28 | ||
Balance of green bonds under wealth management of the Bank | billion RMB | 1.5 | 28 | ||
Balance of green credit to green enterprises | million RMB | 16106 | 28 | ||
Balance of inclusive loan to micro and small Enterprise | RMB billion | 26.6 | 32.973 | 40.474 | 37 |
Balance of individual start-up business loans | RMB billion | 0.421 | 0.666 | 0.698 | 37 |
Balance of loans to support green enterprises | RMB billion | 9.146 | 12.392 | 15.444 | 38 |
Balance of the Bank’s wealth management investment in green bonds | billion RMB | 0.289 | 28 | ||
Green Credit Balance | RMB billion | 9.923 | 13.047 | 16.016 | 38 |
Growth rate of credit supply for MSMEs | % | 15.12 | 10.65 | 10.02 | 37 |
Number of MSME customers | Number | 23132 | 23608 | 23840 | 37 |
Number of suppliers by region - Out Guangdong Province | 159 | 195 | 233 | 36 | |
Number of suppliers by region - Within the Province | 504 | 431 | 348 | 36 | |
Total number of suppliers | 663 | 626 | 581 | 36 | |
Year-on-year increase in balance of green credit to green enterprises | % | 22.75 | 28 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of POS machines in operation | 15164 | 10966 | 5922 | 36 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Increase in smart device-enabled transactions compared to previous year | percent | 40 | 29 | ||
Number of ATMs in operation | 851 | 787 | 621 | 36 | |
Number of WeChat banking customers | 1123551 | 1378534 | 1656734 | 36 | |
Number of customer complaints accepted | Number of complaints | 1087 | 1316 | 1331 | 37 |
Number of e-banking clients | 10000 | 590.67 | 669.01 | 746.32 | 36 |
Number of mobile banking customers through mobile app | 4089700 | 4599981 | 5083561 | 36 | |
Number of online banking customers | 693470 | 711666 | 722867 | 36 | |
Proportion of complaint by business categories - Credit card business | % | 16.83 | 28.12 | 35.16 | 37 |
Proportion of complaint by business categories - Debit card business | % | 36.8 | 30.24 | 27.27 | 37 |
Proportion of complaint by business categories - Loan business | % | 27.41 | 29.93 | 26.75 | 37 |
Proportion of complaint by business categories - RMB deposit business | % | 9.94 | 5.78 | 3.83 | 37 |
Proportion of complaint by business categories - Wealth management, payment settlement, intermediate business, others | % | 9.02 | 5.93 | 6.99 | 37 |
Proportion of complaints by region - Dongguan | % | 98.53 | 99.39 | 98.95 | 37 |
Proportion of complaints by region - Guangzhou | % | 0.28 | 0.08 | 37 | |
Proportion of complaints by region - Huizhou | % | 0.92 | 0.38 | 0.45 | 37 |
Proportion of complaints by region - Qingyuan | % | 0.18 | 0.15 | 0.45 | 37 |
Proportion of complaints by region - Zhuhai | % | 0.09 | 0.15 | 37 | |
Settlement rate of customer complaints | % | 100 | 100 | 100 | 37 |
Total number of transactions | 10000 | 58204.97 | 67135.99 | 62525.59 | 36 |
Total number of transactions through e-banking | 10000 | 56866.87 | 65974.85 | 61579.49 | 36 |
Total number of transactions through mobile banking | 10000 | 2192.13 | 2316.01 | 2270.82 | 36 |
Total number of transactions through online banking | 10000 | 1257.15 | 1297.49 | 1390.97 | 36 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
E-banking substitution (diversion) rate | % | 97.7 | 98.27 | 98.49 | 36 |
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 |
---|---|---|---|---|---|
Capital adequacy ratio | % | 15.98 | 15.85 | 16.54 | 36 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of anti-corruption training | Number of trainings | 1 | 1 | 1 | 36 |
Number of person-time participated in anti-corruption training | Person-time | 5775 | 5716 | 6104 | 36 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Loans Coverage Ratio | % | 373.83 | 308.3 | 207.72 | 36 |
Number of green enterprises supported | Number | 79 | 86 | 135 | 38 |
Proportion of loan balance provided to MSMEs in total loan balance of the Bank | % | 58.37 | 62.84 | 64.74 | 37 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Credit granted for distributed photovoltaic projects in Dongguan City | million RMB | 315 | 28 | ||
Credit granted to biomass utilization project | million RMB | 210 | 28 | ||
Credit granted to integrated drainage and wastewater treatment project | million RMB | 340 | 28 | ||
Increase in individual start-up business loan | % | -9.68 | 58.57 | 4.8 | 37 |
Loan balance of sewage project | million RMB | 150 | 28 |
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) | 10000 tons of carbon dioxide | 0.008 | 0.007 | 0.005 |
Indirect Energy Emissions (Scope 2) | 10000 tons of carbon dioxide | 2.39 | 2.65 | 1.87 |
Scope 1 GHG Emissions Intensity (By Employee) | tons of carbon dioxide/per capita | 0.01 | 0.01 | 0.01 |
Scope 2 GHG Emissions Intensity (By Employee) | tons of carbon dioxide/per capita | 4.13 | 4.65 | 3.21 |
Total GHG Emissions | 10000 tons of carbon dioxide | 2.4 | 2.66 | 1.87 |
Total GHG Emissions Intensity (By Employee) | tons of carbon dioxide/per capita | 4.14 | 4.66 | 3.21 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2024 |
---|---|---|
NOx Emissions Reduction Compared to Last Year | tons | 83.27 |
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 |
---|---|---|---|---|
Biomass Energy | million kWh | 59 | ||
Diesel Fuel Consumption | liter | 101630.9 | 90151.01 | 41430.58 |
Gasoline Consumption | liter | 24720 | 20199 | 15735.27 |
Purchased Electricity | KWH | 40894858 | 46591287 | 42368300 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Water Consumption in Office | ton | 265895 | 117259 | 112825 |
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 | Number of people | 5455 | 5422 | 5739 |
Number of Employees Aged Above 50 | Number of people | 874 | 838 | 489 |
Number of Employees Aged Below 30 | Number of people | 1680 | 1664 | 1631 |
Number of Female Employees | Number of people | 3293 | 3261 | 3249 |
Number of Full-time Employees | Number of people | 8009 | 7924 | 7859 |
Number of Male Employees | Number of people | 4716 | 4663 | 4610 |
Number of Total Employees | Number of people | 8009 | 7924 | 7859 |
Percentage of Employees Aged 30-50 | % | 68.11 | 68.43 | 73.08 |
Percentage of Employees Aged Above 50 | % | 10.91 | 10.59 | 6.16 |
Percentage of Employees Aged Below 30 | % | 20.98 | 20.18 | 20.76 |
Percentage of Female Employees | % | 41.12 | 41.15 | 41.34 |
Percentage of Full-time Employees | % | 100 | 100 | 100 |
Percentage of Male Employees | % | 58.88 | 58.81 | 58.68 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 1.59 | 1.18 | 1.11 |
Turnover Rate of Employees Aged Above 50 | % | 0.48 | 0.36 | 0.41 |
Turnover Rate of Employees Aged Below 30 | % | 3.29 | 5.05 | 3.54 |
Turnover Rate of Female Employees | % | 1.99 | 2.23 | 1.87 |
Turnover Rate of Male Employees | % | 1.59 | 1.62 | 1.81 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Work-related Fatalities | Number of people | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | Number of days | 630 | 563 | 549 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2024 |
---|---|---|
Percentage of Employees Trained | % | 100 |
Percentage of Trained Female Employees | % | 100 |
Percentage of Trained General Employees | % | 100 |
Percentage of Trained Male Employees | % | 100 |
Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2024 |
---|---|---|
Average Training Hours (Female) | Hours | 56.99 |
Average Training Hours (General Staff) | Hours | 57.13 |
Average Training Hours (Male) | Hours | 58.35 |
Average Training Hours (Senior Management) | Hours | 109.24 |
Average Training Hours per Employee | Hours | 57.77 |
Total Training Hours | Hours | 326756.01 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Total Suppliers | Number | 663 | 626 | 581 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Complaint Growth Rate | % | 21.08 | 1.14 | |
Complaints Handling Rate | % | 100 | 100 | 100 |
Total Number of Customer Complaints | Number of complaints | 1087 | 1316 | 1331 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Anti-corruption Training Session | Number of trainings | 1 | 1 | 1 |
Number of Attendance for Anti-corruption Training | Person-time | 5775 | 5716 | 6104 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2024 |
---|---|---|
Investment in Environmental Protection | million RMB | 210 |