2024 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 |
|---|---|---|---|
| Annual COD reduction | tons | 50357.52 | 36 |
| Annual TN reduction | tons | 4782.08 | 36 |
| NOx emissions | kilogram | 708.53 | 43 |
| Particulate emissions | kilogram | 67.89 | 43 |
| Sulphur oxide emissions | kilogram | 0.6 | 43 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| CO2 equivalent emissions (Scope III) | ton (loanword) | 413.71 | 43 | |
| Carbon dioxide emission intensity | Tons/person | 3.93 | 43 | |
| Carbon dioxide emissions from agricultural transformation project | tons | 157.71 | 40 | |
| Carbon dioxide equivalent emissions (Scope I) | ton (loanword) | 382.01 | 43 | |
| Carbon dioxide equivalent emissions (Scope II) | ton (loanword) | 20466.07 | 43 | |
| Nitrous oxide emissions from agricultural transformation project | tons | 11.51 | 40 | |
| Total CO2 equivalent emissions | ton (loanword) | 21261.79 | 43 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Intensity of office paper usage | kg/person | 15.94 | 43 |
| Volume of office paper used | kilogram | 86189.21 | 43 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Annual TP emission reductions | tons | 717.31 | 36 | ||
| Annual ammonia nitrogen reduction | tons | 4710.35 | 36 | ||
| CO2 emission reduction | ton | 66154.2 | 5 | ||
| Carbon dioxide emission reductions | tons | 66154.2 | 36 | ||
| Copper industry carbon emission intensity further reduction target by end-2025 | percent | 10 | 39 | ||
| Copper industry carbon emission intensity year-on-year drop | percent | 0.43 | 39 | ||
| Emission reduction of sulphur dioxide | tons | 736.7 | 36 | ||
| Planned decrease in carbon intensity by 2030 for agricultural transformation project | end of first year | 40 | |||
| Planned decrease in carbon intensity by end of 2025 for agricultural transformation project | 26.1% | 40 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Green loan investment in clean energy industry | RMB billions | 17.31 | 36 |
| Green loan investment in cleaner production industry | RMB billions | 7.41 | 36 |
| Green loan investment in ecological industry | RMB billions | 139.28 | 36 |
| Green loan investment in energy saving and environmental protection industry | RMB billions | 28.23 | 36 |
| Green loan investment in infrastructure upgrading | RMB billions | 202.07 | 36 |
| Green loans balance | RMB millions | 394.39 | 5 |
| Intensity of consumption of purchased electricity | kWh/person | 7055.17 | 43 |
| Purchased electricity | kilowatt-hour (kWh) | 38140268.16 | 43 |
| Savings in standard coal | tons | 36835.03 | 36 |
| diesel consumption | liter | 40830.45 | 43 |
| diesel fuel consumption | liter | 120 | 43 |
| petroleum consumption | cubic meter (unit of volume) | 137132.41 | 43 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Equivalent water saved | million tons | 499.15 | 36 |
| water consumption | ton (loanword) | 188575.72 | 43 |
| water intensity | Tons/person | 34.88 | 43 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Standard coal saved by green loan projects | ton | 36835.03 | 5 |
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 |
|---|---|---|---|
| New-generation intelligent double-recording system - improvement in efficiency and video uploading rate | % | 45 | 16 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Growth rate of agriculture-related loans | 7.24% | 22 | |
| Growth rate of balance of loans to technology-based enterprises | 20% | 27 | |
| Increase in cross-border financial service platform financing at Jiangxi Bank | % year-on-year | 52.11 | 30 |
| Number of mother and baby rooms set up | rooms | 17 | 48 |
| Proportion of female employees | 53.46% | 5 | |
| Return on average assets | % | 0.2 | 5 |
| Return on average equity | % | 1.77 | 5 |
| Total assets | RMB millions | 573634.75 | 5 |
| Total employees | people | 5406 | 5, 46 |
| Total loans and advances | RMB millions | 352940.26 | 5 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Operating income | RMB millions | 11559.23 | 5 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of emergency drills organized | drills | 133 | 48 |
| Number of employees involved in emergency drills | employees | 3109 | 48 |
| Number of participants in fire prevention professional training | participants | 1813 | 48 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of employees covered by training | 68955 | 47 | |
| Number of training sessions held | 1049 | 47 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average training time per person | hours | 88.23 | 5 | |
| Investment in employee training | million RMB | 6.63 | 47 | |
| Number of training hours per female employee | hours/person | 88.23 | 47 | |
| Number of training hours per male employee | hours/person | 88.23 | 47 | |
| Total number of training hours for female employees | hours | 254998 | 47 | |
| Total number of training hours for male employees | hours | 221990 | 47 | |
| Training hours per capita at middle management level | hours/person | 202.84 | 47 | |
| Training hours per capita at senior management level | hours/person | 194 | 47 | |
| Training hours per capita for basic employee member | hours/person | 84 | 47 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Balance of agricultural loans | RMB millions | 305.17 | 5 | |
| Balance of agriculture-related loans | billion RMB | 305.17 | 22 | |
| Balance of inclusive agriculture-related loans | billion RMB | 123.08 | 22 | |
| Balance of inclusive small and micro-enterprise loan | RMB millions | 526.02 | 5 | |
| Balance of loans in degraded areas | billion RMB | 328.94 | 22 | |
| Balance of loans to technology-based enterprises | billion RMB | 127.76 | 27 | |
| Export accounts receivable financing handled for Jiujing trade export company on cross-border financial services platform | billion RMB | 1 | 30 | |
| Green credit balance | RMB billions | 311.96 | 394.39 | 36 |
| Growth rate of green loan balance | % | 26.42 | 36 | |
| Growth rate of inclusive agriculture-related loans | 30.28% | 22 | ||
| Total deposits | RMB millions | 390932.69 | 5 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Consumer complaint settlement rate | percent | 100% | 18 |
| Credit business digital and intelligent level - business volume growth | % | 37.2 | 16 |
| Credit business digital and intelligent level - placement volume growth | % | 15.43 | 16 |
| Increase in agriculture-related loans from previous year | billion RMB | 20.59 | 22 |
| Number of consumer complaints received | complaints | 2971 | 18 |
| OCR intelligent recognition platform - number of business forms processed annually | 14000 | 16 | |
| OCR intelligent recognition platform - number of identification services per month for 13 channels | 500000 | 16 | |
| Year-on-year growth in effective customers for Jiangxi Bank's international business | % year-on-year | 30 | 30 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| RPA platform - number of scenarios online | 52 | 16 | |
| Selected in List of 2024 Top 20 City Commercial Banks in terms of ESG Comprehensive Performance | Top 20 | 10 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of audit projects completed | projects | 45 | 13 |
| Number of audit recommendations | items | 145 | 13 |
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 |
|---|---|---|---|
| Capital adequacy ratio | % | 13.47 | 5 |
| Provision coverage ratio | % | 160.05 | 5 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of anti-money laundering training sessions | sessions | 87 | 13 |
| Number of comprehensive compliance trainings held | 28 | 13 | |
| Number of employees attending anti-money laundering training | employees | 7313 | 13 |
| Number of employees receiving compliance training | employees | 18173 | 13 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Basic and diluted earnings per share | RMB | 0.12 | 5 |
| ESG rating | A | 10 | |
| Green leasing balance | RMB millions | 20.91 | 5 |
| Number of helping points set up for village assistance | 50 | 50 | |
| Number of village cadres assigned for village assistance | village cadres | 38 | 50 |
| Signatory to United Nations' Principles for Responsible Banking | Yes | 10 | |
| Year-on-year increase in number of social welfare activities | 47% | 50 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Assistance funds for village assistance | million RMB | 12.88 | 50 |
| Assistance funds invested in helping villages | RMB | 1928800 | 50 |
| Cost savings for enterprise in Jinggangshan Economic Development Zone through domestic table loan financing | million RMB | 130 | 30 |
| Increase in balance of loans in degraded areas from previous year | billion RMB | 51.48 | 22 |
| Increase in balance of loans to technology-based enterprises compared with the beginning of the year | billion RMB | 2.13 | 27 |
| Increase in inclusive agriculture-related loans from previous year | billion RMB | 28.61 | 22 |
| Number of social welfare activities carried out | activities | 1042 | 50 |
| Number of volunteers registered for social welfare activities | volunteers | 2662 | 50 |
| Year-on-year increase in registered participants for social welfare activities | 127.8% | 50 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kilogram | 67.89 |
| NOâ‚“ Emissions | kilogram | 708.53 |
| SOâ‚“ Emissions | kilogram | 0.6 |
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 | 2024 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | ton | 382.01 |
| Indirect Energy Emissions (Scope 2) | ton | 20466.07 |
| Total GHG Emissions | ton | 21261.79 |
| Total GHG Emissions Intensity (By Employee) | Tons/person | 3.93 |
| Total Other Indirect Energy Emissions (Scope 3) | ton | 413.71 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Paper Waste | kilogram | 86189.21 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2025 |
|---|---|---|---|
| Ammonia Nitrogen Emissions Reduction Compared to Last Year | tons | 4710.35 | |
| CO2 Emissions Reduction Compared to Last Year | tons | 66154.2 | |
| Percentage of Reduction in GHG Intensity Compared to Last Year | percent | 0.43 | 26.1 |
| SO2 Emissions Reduction Compared to Last Year | tons | 736.7 |
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 | 2024 |
|---|---|---|
| Diesel Fuel Consumption | liter | 40950.45 |
| Purchased Electricity | kilowatt-hour (kWh) | 38140268.16 |
| Purchased Electricity Intensity (By Employee) | kWh/person | 7055.17 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Water Consumption | ton | 188575.72 |
| Water Consumption Intensity (By Revenue) | Tons/person | 34.88 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Energy Consumption Reduction Compared to Last Year | ton standard coal | 36835.03 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Bachelor's Degree Employees | people | 4265 |
| Number of Employees Aged 30-50 | people | 3709 |
| Number of Employees Aged Above 50 | people | 293 |
| Number of Employees Aged Below 30 | people | 1404 |
| Number of Female Employees | people | 2890 |
| Number of Male Employees | people | 2516 |
| Number of Total Employees | people | 5406 |
| Percentage of Female Employees | % | 53.46 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 2.84 |
| Turnover Rate of Employees Aged Below 30 | % | 6.55 |
| Turnover Rate of Female Employees | % | 3.36 |
| Turnover Rate of Male Employees | % | 3.74 |
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 | drills | 133 |
| Percentage of Employees Covered by Safety Drills | percent | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | % | None |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hours/person | 88.23 | |
| Average Training Hours (General Staff) | hours/person | 84 | |
| Average Training Hours (Male) | hours/person | 88.23 | |
| Average Training Hours (Middle Management) | hours/person | 202.84 | |
| Average Training Hours (Senior Management) | hours/person | 194 | |
| Average Training Hours per Employee | hours/person | 88.23 | 88.23 |
| Total Training Hours | hours | 476988 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Complaints Handling Rate | percent | 100 |
| Total Number of Customer Complaints | complaints | 2971 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Anti-corruption Training Session | sessions | 87 |
| Number of Attendance for Anti-corruption Training | person-times | 7313 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | employees | 7313 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Registered Volunteers | volunteers | 2662 |
| Number of Volunteer Activities Sessions | activities | 1042 |
| Total Social Investment | million RMB | 1.9288 |