2022 Environmental, Social and Governance 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 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Direct GHG emissions (Scope 1) (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 648.9 | 646.8 | 2857.4 | 130 |
Indirect GHG emissions (Scope 2) (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 3220.6 | 3427.5 | 25272.7 | 130 |
Natural gas emissions (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 557.8 | 535.8 | 1827.7 | 130 |
Petrol emissions (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 91.1 | 111.1 | 1029.6 | 130 |
Purchased electricity emissions (tonnes) | tonnes | 3220.6 | 3427.5 | 25272.7 | 130 |
Total GHG emissions (Scopes 1 and 2) (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 3869.5 | 4074.3 | 28130.1 | 130 |
Total GHG emissions per employee (tonnes of CO2 equivalent/employee) | tonnes of CO2 equivalent/employee | 2.9 | 2.9 | 5.28 | 130 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Non-hazardous emission intensity (tonnes/employee) | tonnes/employee | 1.0×10⁻² | 7.2×10⁻³ | 4.0×10⁻² | 130 |
Total non-hazardous waste emissions (tonnes) | tonnes | 13.6 | 10.1 | 81.81 | 130 |
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 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Automatic services machines | / | 2019 | 2002 | 1875 | 28 |
Electricity purchased (10 thousand kWh) | 10 thousand kWh | 457.8 | 487.2 | 3593.2 | 132 |
Gasoline consumption (10 thousand litre) | 10 thousand litre | 4.1 | 5 | 46.4 | 132 |
Natural gas consumption (10 thousand m3) | 10 thousand m3 | 25.8 | 24.8 | 84.5 | 132 |
Percentage of electricity consumption accounted for by data centre at headquarters building | % | 52.9 | 131 | ||
Total direct energy consumption (MWh) | MWh | 3162.5 | 3133.9 | 13352.7 | 132 |
Total energy consumption (MWh) | MWh | 7740.5 | 8005.9 | 49284.7 | 132 |
Total energy consumption per employee (MWh/employee) | MWh/employee | 5.9 | 5.7 | 9.3 | 132 |
Total indirect energy consumption (MWh) | MWh | 4578 | 4872 | 35932 | 132 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Wastewater discharge | 10 thousand tonnes | 2.8 | 3 | 14.27 | 130 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of new agricultural business entities | 1062 | 9 | |
Proportion of green credit balance (PBOC calibre) in total loans | 69.59% | 127 | |
Proportion of green credit balance (corporate calibre) in balance of domestic and foreign currency loans | 6.98% | 127 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Average return on total assets | % | 0.83 | 0.89 | 0.92 | 28 |
Employees with disabilities recruited | 14 | 101 | |||
Local employment rate | % | 86.48 | 100 | ||
New recruitments by age group - 30-39 | 131 | 101 | |||
New recruitments by age group - 30-39 percentage | 14.97% | 101 | |||
New recruitments by age group - 40-49 | 16 | 101 | |||
New recruitments by age group - 40-49 percentage | 1.83% | 101 | |||
New recruitments by age group - <30 | 725 | 101 | |||
New recruitments by age group - <30 percentage | 82.86% | 101 | |||
New recruitments by age group - ≥50 | 3 | 101 | |||
New recruitments by age group - ≥50 percentage | 0.34% | 101 | |||
New recruitments by gender - Female | 440 | 101 | |||
New recruitments by gender - Female percentage | 50.29% | 101 | |||
New recruitments by gender - Male | 435 | 101 | |||
New recruitments by gender - Male percentage | 49.71% | 101 | |||
New recruitments by region - Anhui Province | 677 | 101 | |||
New recruitments by region - Anhui Province percentage | 77.37% | 101 | |||
New recruitments by region - Other regions | 198 | 101 | |||
New recruitments by region - Other regions percentage | 22.63% | 101 | |||
Number of employees aged 30-39 | person | 5490 | 100 | ||
Number of employees aged 40-49 | person | 1773 | 100 | ||
Number of employees aged 50 and above | person | 1000 | 100 | ||
Number of employees under 30 years old | person | 2927 | 100 | ||
Number of employees with bachelor degree | person | 8216 | 100 | ||
Number of employees with education below bachelor | person | 504 | 100 | ||
Number of employees with master degree | person | 2446 | 100 | ||
Number of female employees | person | 5684 | 100 | ||
Number of male employees | person | 5506 | 100 | ||
Number of new recruits | person | 875 | 100 | ||
Number of regular employees | 11000 | 9 | |||
Percentage of employees aged 30-39 | % | 49.06 | 100 | ||
Percentage of employees aged 40-49 | % | 15.84 | 100 | ||
Percentage of employees aged 50 and above | % | 8.94 | 100 | ||
Percentage of employees under 30 years old | % | 26.16 | 100 | ||
Percentage of employees with bachelor degree | % | 73.42 | 100 | ||
Percentage of employees with education below bachelor | % | 4.5 | 100 | ||
Percentage of employees with master degree | % | 21.86 | 100 | ||
Percentage of female employees | % | 50.8 | 100 | ||
Percentage of male employees | % | 49.2 | 100 | ||
Proportion of female employees | % | 51.47 | 50.95 | 50.8 | 28 |
Total assets | In RMB 100 million | 12717.01 | 13836.62 | 15802.36 | 28 |
Total number of county outlets | / | 156 | 157 | 150 | 28 |
Total number of employees | Persons, person | 10688 | 10701 | 11190 | 28, 100 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Employee turnover by age group - 30-39 | 152 | 101 | |
Employee turnover by age group - 30-39 turnover rate | 2.69% | 101 | |
Employee turnover by age group - 40-49 | 26 | 101 | |
Employee turnover by age group - 40-49 turnover rate | 1.45% | 101 | |
Employee turnover by age group - <30 | 142 | 101 | |
Employee turnover by age group - <30 turnover rate | 4.63% | 101 | |
Employee turnover by age group - ≥50 | 4 | 101 | |
Employee turnover by age group - ≥50 turnover rate | 0.40% | 101 | |
Employee turnover by gender - Female | 154 | 101 | |
Employee turnover by gender - Female turnover rate | 2.64% | 101 | |
Employee turnover by gender - Male | 170 | 101 | |
Employee turnover by gender - Male turnover rate | 3.00% | 101 | |
Employee turnover by region - Anhui Province | 205 | 101 | |
Employee turnover by region - Anhui Province turnover rate | 2.07% | 101 | |
Employee turnover by region - Other regions | 119 | 101 | |
Employee turnover by region - Other regions turnover rate | 7.29% | 101 | |
Employee turnover rate | % | 2.81 | 100 |
Ethnic minority employees recruited | 201 | 101 | |
Number of employee turnover | person | 324 | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Proportion of female trainees | 50.99% | 109 | |
Proportion of junior employee trainees | 97.80% | 109 | |
Proportion of male trainees | 49.01% | 109 | |
Proportion of middle management trainees | 2.10% | 109 | |
Proportion of senior management trainees | 0.10% | 109 | |
Training coverage of employees | 100% | 109 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Average hours of training per employee | hours | 54.27 | 109 | ||
Average hours of training per female employee | hours | 56.06 | 109 | ||
Average hours of training per junior employee | hours | 54.93 | 109 | ||
Average hours of training per male employee | hours | 52.43 | 109 | ||
Average hours of training per middle management employee | hours | 24.69 | 109 | ||
Average hours of training per senior management employee | hours | 30.46 | 109 | ||
Total centralised training hours | hours | 607300 | 109 | ||
Training expenditure per participant | RMB | 2021.27 | 109 | ||
Training expenses per employee | RMB | 3166.02 | 2496.45 | 2021.27 | 28 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Balance of agriculture-related loans | In RMB 100 million, RMB | 1169.6 | 1389.41 | 1819.98 | 9, 28 |
Balance of green bond investment held by the Bank | million RMB | 1189 | 127 | ||
Balance of loans for manufacturing | RMB | 84680000000 | 9 | ||
Balance of loans for new industries and science and technology enterprises | RMB | 86020000000 | 9 | ||
Balance of loans to manufacturing industries | billion RMB | 73.29 | 69 | ||
Balance of loans to strategic emerging industries | million RMB | 86021 | 69 | ||
Balance of loans to technology-based enterprises | billion RMB | 58.53 | 69 | ||
Balance of small and micro enterprises loans | In RMB 100 million | 2351.86 | 2560.41 | 3146.19 | 28 |
Green credit balance (PBOC calibre) | million RMB | 54576 | 127 | ||
Number of rural withdrawal service points in county economy areas of Anhui Province | 67 | 9 | |||
Number of service outlets in county economy areas of Anhui Province | 146 | 9 |
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 | Report Pages |
---|---|---|---|
Amount provided for supply chain finance in new energy vehicle industry | million RMB | 900 | 69 |
Number of enterprises influenced by supply chain finance in new energy vehicle industry | 230 | 69 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Increase in proportion of green credit balance (corporate calibre) from end of 2021 | 2.15% | 127 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Total number of outlets | / | 481 | 478 | 466 | 28 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Complaint handling satisfaction | % | 98.04 | 97.84 | 98.15 | 28 |
Number of corporate online banking customers | In 10 thousand | 27.36 | 31.09 | 34.6 | 28 |
Number of phone banking customers | In 10 thousand | 351.95 | 380.65 | 401.35 | 28 |
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 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Capital adequacy ratio | % | 12.12 | 12.23 | 12.02 | 28 |
Total tax payment | In RMB 100 million | 64.93 | 70.82 | 91.23 | 28 |
Weighted average interest rate of inclusive small and micro enterprise loans reduction | percentage points | -0.28 | 9 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Amount granted for integration projects of urban and rural public transportation in Anhui Province | million RMB | 242 | 69 |
Amount granted for integration projects of urban and rural water supply in Anhui Province | million RMB | 3848 | 69 |
Application Case of Intelligent Voice Technology in Bank Settlement Account Management - Top Ten Excellent Case Award of the Year in the Urban Financial Services Excellent Case Selection Activity | award | Top Ten | 16 |
Construction of credit villages by party building | RMB | 4570000000 | 9 |
Credit support for integration projects of urban and rural public transportation in Anhui Province | million RMB | 813 | 69 |
Credit support for integration projects of urban and rural water supply in Anhui Province | billion RMB | 8.02 | 69 |
Digital Business Communication Forum and Tiger Roar Awards: Bronze Award for Collaborative Marketing | award | bronze | 15 |
Jinxintong Fintech Innovation and Application Outstanding Case (2nd) | place | 2 | 15 |
Loans approved for state forest reserve project | million RMB | 490 | 127 |
Loans for small and micro enterprises | RMB | 104.56 billion to 175.00 billion | 9 |
Loans from county institutions | RMB | exceeding RMB 200 billion | 9 |
Loans issued for state forest reserve project | million RMB | 10 | 127 |
Money Bag Promotional Video Competition, Second Prize | prize | 2 | 15 |
Number of integration projects of urban and rural public transportation in Anhui Province supported | 6 | 69 | |
Number of integration projects of urban and rural water supply in Anhui Province supported | 20 | 69 | |
Second prize of the 2022 Anhui Province Financial Reform and Innovation Business Competition Group | prize | 2 | 16 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Assistance funds to financially-distressed employees | In RMB 10 thousand | 24.8 | 16 | 18.2 | 28 |
Credit line provided to new energy vehicle industry | million RMB | 450 | 69 | ||
Deferred principal and interest loans for 2960 small and medium-sized enterprises | RMB | 13060000000 | 9 | ||
Increase in balance of agriculture-related loans | RMB | 43060000000 | 9 | ||
Increase in balance of green bond investment from beginning of the year | million RMB | 578 | 127 | ||
Increase in balance of green bond investment from beginning of the year (percentage) | 94.58% | 127 | |||
Increase in balance of loans for manufacturing | RMB | 15060000000 | 9 | ||
Increase in balance of loans for new industries and science and technology enterprises | RMB | 14630000000 | 9 | ||
Increase in balance of loans to manufacturing industries over previous year | million RMB | 13857 | 69 | ||
Increase in balance of loans to strategic emerging industries over previous year | percent | 31.4 | 69 | ||
Increase in total balance of green loans in Anhui Province from end of 2021 | million RMB | 20153 | 127 | ||
Investment in new rural revitalization loans to former poverty-stricken counties (districts) in Anhui Province | RMB | 14230000000 | 9 | ||
Revenue | In RMB 100 million | 322.9 | 355.14 | 362.3 | 28 |
Total amount of loans and advances | RMB | 109510000000 | 9 | ||
Total balance of green loans in Anhui Province | million RMB | 50209 | 127 |
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 | 2020 | 2021 | 2022 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes of CO2 equivalent | 648.9 | 646.8 | 2857.4 |
GHG Emissions from Natural Gas | tonnes of CO2 equivalent | 557.8 | 535.8 | 1827.7 |
GHG Emissions from Purchased Electricity | tonnes | 3220.6 | 3427.5 | 25272.7 |
Indirect Energy Emissions (Scope 2) | tonnes of CO2 equivalent | 3220.6 | 3427.5 | 25272.7 |
Mobile Combustion Emissions | tonnes of CO2 equivalent | 91.1 | 111.1 | 1029.6 |
Total GHG Emissions | tonnes of CO2 equivalent | 3869.5 | 4074.3 | 28130.1 |
Total GHG Emissions Intensity (By Employee) | tonnes of CO2 equivalent/employee | 2.9 | 2.9 | 5.28 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Non-Hazardous Waste Disposed | tonnes | 13.6 | 10.1 | 81.81 |
Total Non-Hazardous Waste Intensity (By Employee) | tonnes/employee | 0.01 | 0.0072 | 0.04 |
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 | 2020 | 2021 | 2022 |
---|---|---|---|---|
Energy Consumption Intensity (By Employee) | MWh/employee | 5.9 | 5.7 | 9.3 |
Gasoline Consumption | 10 thousand litre | 4.1 | 5 | 46.4 |
Natural Gas Consumption | 10 thousand m3 | 25.8 | 24.8 | 84.5 |
Purchased Electricity | 10 thousand kWh | 457.8 | 487.2 | 3593.2 |
Total Direct Energy Consumption | MWh | 3162.5 | 3133.9 | 13352.7 |
Total Energy Consumption | MWh | 7740.5 | 8005.9 | 49284.7 |
Total Indirect Energy Consumption | MWh | 4578 | 4872 | 35932 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Total Wastewater Discharge | 10 thousand tonnes | 2.8 | 3 | 14.27 |
Water Consumption | 10 thousand tonnes |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Number of Bachelor's Degree Employees | person | 8216 | ||
Number of Below Junior College Employees | person | 504 | ||
Number of Doctoral Degree Employees | 24 | |||
Number of Employees Aged 30-50 | person | 7263 | ||
Number of Employees Aged Above 50 | person | 1000 | ||
Number of Employees Aged Below 30 | person | 2927 | ||
Number of Employees in Mainland China | 9677 | |||
Number of Female Employees | person | 5684 | ||
Number of Male Employees | person | 5506 | ||
Number of Master's Degree Employees | person | 2446 | ||
Number of New Employees | person | 875 | ||
Number of New Employees (Above 50) | 3 | |||
Number of New Employees (Aged 30-50) | 147 | |||
Number of New Employees (Aged Below 30) | 725 | |||
Number of New Employees (Female) | 440 | |||
Number of New Employees (Male) | 435 | |||
Number of Total Employees | Persons | 10688 | 10701 | 11190 |
Percentage of Bachelor's Degree Employees | % | 73.42 | ||
Percentage of Below Junior College Employees | % | 4.5 | ||
Percentage of Doctoral Degree Employees | % | 0.21 | ||
Percentage of Employees Aged 30-50 | % | 64.9 | ||
Percentage of Employees Aged Above 50 | % | 8.94 | ||
Percentage of Employees Aged Below 30 | % | 26.16 | ||
Percentage of Employees in Mainland China | % | 86.48 | ||
Percentage of Female Employees | % | 51.47 | 50.95 | 50.8 |
Percentage of Male Employees | % | 49.2 | ||
Percentage of Master's Degree Employees | % | 21.86 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 2.69 |
Turnover Rate of Employees Aged Above 50 | % | 0.4 |
Turnover Rate of Employees Aged Below 30 | % | 4.63 |
Turnover Rate of Female Employees | % | 2.64 |
Turnover Rate of Male Employees | % | 3 |
Turnover Rate of Total Employees | % | 2.81 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 |
---|---|---|
Percentage of Employees Trained | % | 100 |
Percentage of Trained Female Employees | % | 50.99 |
Percentage of Trained General Employees | % | 97.8 |
Percentage of Trained Male Employees | % | 49.01 |
Percentage of Trained Middle Management | % | 2.1 |
Percentage of Trained Senior Management | % | 0.1 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 56.06 | ||
Average Training Hours (General Staff) | hours | 54.93 | ||
Average Training Hours (Male) | hours | 52.43 | ||
Average Training Hours (Middle Management) | hours | 24.69 | ||
Average Training Hours (Senior Management) | hours | 30.46 | ||
Average Training Hours per Employee | hours | None | None | 54.27 |
Total Training Hours | hours | 607300 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Proportion of Spending on Local Suppliers | Not applicable |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Satisfaction Rate of Customer Complaint Handling | % | 98.04 | 97.84 | 98.15 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 | 2021 | 2022 |
---|---|---|---|---|
Investment in Targeted Poverty Alleviation | RMB 10 thousand | 24.8 | 16 | 18.2 |