2020 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| CO emission | kg | 917 | 32 |
| NOx emission | kg | 266.08 | 32 |
| PM emission | kg | 6.31 | 32 |
| SOx emission | kg | 3.45 | 32 |
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 | Report Pages |
|---|---|---|---|
| Scope 1 greenhouse gas emission | tonne CO2 | 1036.33 | 32 |
| Scope 2 greenhouse gas emission | tonne CO2 | 18093.37 | 32 |
| Standard coal equivalent emission reduction | tonnes | 24701.81 | 30 |
| Total greenhouse gas emission | tonne CO2 | 19129.69 | 32 |
| Total greenhouse gas emission intensity | tonne CO2/m² | 0.08 | 32 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Used ink cartridge | pcs | 2410.22 | 32 |
| Used toner cartridge | pcs | 1053 | 32 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Office general waste generation | tonne | 25.96 | 32 |
| Waste cardboard generation | tonne | 23.59 | 32 |
| Wastepaper generation | tonne | 24.84 | 32 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Ammonia nitrogen emission reduction | tonnes | 1309.51 | 30 |
| CO2 equivalent emission reduction | tonnes | 703611.79 | 30 |
| Chemical oxygen demand emission reduction | tonnes | 26540.71 | 30 |
| Nitrogen oxides emission reduction | tonnes | 330.23 | 30 |
| Sulfur dioxide emission reduction | tonnes | 87.4 | 30 |
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 | Report Pages |
|---|---|---|---|
| Diesel consumption | 1000 kWh | 40.12 | 32 |
| Electricity consumption | 1000 kWh | 29656.39 | 32 |
| Electricity intensity | 1000 kWh/m² | 0.13 | 32 |
| Gasoline consumption | 1056.63 | 32 | |
| Natural gas consumption | 3838.47 | 32 | |
| Total energy resources consumption | 34591.62 | 32 | |
| Total energy resources consumption intensity | 1000 kWh/m² | 0.15 | 32 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Water consumption | 10000 tonnes | 186601 | 32 |
| Water intensity | tonne/m² | 0.8 | 32 |
| Water saving | tonnes | 20157.77 | 30 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average return on equity (%) | % | 9.95 | 6.15 | 5.33 | 7 |
| Average return on total assets (%) | % | 0.7 | 0.48 | 0.42 | 7 |
| Employees from ethnic minorities | 39 | 27 | |||
| Number of employees by age - From 31 to 40 years old (inclusive) | 1561 | 27 | |||
| Number of employees by age - From 41 to 50 years old (inclusive) | 2574 | 27 | |||
| Number of employees by age - Over 51 years old | 137 | 27 | |||
| Number of employees by age - Under 30 years old (inclusive) | 966 | 27 | |||
| Number of employees by employment type - Full-time | 5238 | 27 | |||
| Number of employees by gender - Female | 2361 | 27 | |||
| Number of employees by gender - Male | 2877 | 27 | |||
| Number of employees by management hierarchy - General employee | 5102 | 27 | |||
| Number of employees by management hierarchy - Middle Management | 126 | 27 | |||
| Number of employees by management hierarchy - Senior management | 10 | 27 | |||
| Number of employees by region - Outside Jiangxi Provinces | 356 | 27 | |||
| Number of employees by region - Within Jiangxi Province | 4882 | 27 | |||
| Percentage of employees by age - From 31 to 40 years old (inclusive) | % | 29.8 | 27 | ||
| Percentage of employees by age - From 41 to 50 years old (inclusive) | % | 49.14 | 27 | ||
| Percentage of employees by age - Over 51 years old | % | 2.62 | 27 | ||
| Percentage of employees by age - Under 30 years old (inclusive) | % | 18.44 | 27 | ||
| Percentage of employees by gender - Female | % | 45.07 | 27 | ||
| Percentage of employees by gender - Male | % | 54.93 | 27 | ||
| Percentage of employees by management hierarchy - General employee | % | 97.4 | 27 | ||
| Percentage of employees by management hierarchy - Middle Management | % | 2.41 | 27 | ||
| Percentage of employees by management hierarchy - Senior management | % | 0.19 | 27 | ||
| Percentage of employees by region - Outside Jiangxi Provinces | % | 6.8 | 27 | ||
| Percentage of employees by region - Within Jiangxi Province | % | 93.2 | 27 | ||
| Percentage of employees from ethnic minorities | % | 0.74 | 27 | ||
| Percentage of female employees (%) | % | 55 | 54.16 | 54.93 | 7 |
| Total headcount (Person) | Person | 4858 | 5061 | 5238 | 7 |
| Total number of employees | 5238 | 27 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of employees leaving employment | 253 | 27 | |||
| Number of employees leaving employment - Female | 118 | 27 | |||
| Number of employees leaving employment - From 31 to 40 years old (inclusive) | 72 | 27 | |||
| Number of employees leaving employment - From 41 to 50 years old (inclusive) | 6 | 27 | |||
| Number of employees leaving employment - Full-time | 253 | 27 | |||
| Number of employees leaving employment - General employee | 252 | 27 | |||
| Number of employees leaving employment - Male | 135 | 27 | |||
| Number of employees leaving employment - Middle Management | 1 | 27 | |||
| Number of employees leaving employment - Outside Jiangxi Provinces | 35 | 27 | |||
| Number of employees leaving employment - Under 30 years old (inclusive) | 175 | 27 | |||
| Number of employees leaving employment - Within Jiangxi Province | 218 | 27 | |||
| Operating income (RMB1 million) | RMB1 million | 11350.61 | 12952.81 | 10285.45 | 7 |
| Turnover rate | % | 4.83 | 27 | ||
| Turnover rate - Female | % | 4.1 | 27 | ||
| Turnover rate - From 31 to 40 years old (inclusive) | % | 4.61 | 27 | ||
| Turnover rate - From 41 to 50 years old (inclusive) | % | 0.62 | 27 | ||
| Turnover rate - Full-time | % | 4.83 | 27 | ||
| Turnover rate - General employee | % | 4.94 | 27 | ||
| Turnover rate - Male | % | 5.72 | 27 | ||
| Turnover rate - Middle Management | % | 0.79 | 27 | ||
| Turnover rate - Outside Jiangxi Provinces | % | 9.83 | 27 | ||
| Turnover rate - Under 30 years old (inclusive) | % | 6.8 | 27 | ||
| Turnover rate - Within Jiangxi Province | % | 4.47 | 27 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of employees participating in 'Reading for Life, Growing Together' reading activity | employees | 500 | 25 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Training time per capita (Hour) | Hour | 130.88 | 113.47 | 80 | 7 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Balance of agricultural-related loans (RMB100 million) | RMB100 million | 209.76 | 219.86 | 244.65 | 7 |
| Balance of green credit (RMB100 million) | RMB100 million | 71.78 | 93.99 | 116.44 | 7 |
| Balance of loans to high-pollution, high-energy-consumption, and overcapacity industries (RMB100 million) | RMB100 million | 12.47 | 18.58 | 19.41 | 7 |
| Balance of loans to small and micro enterprises (RMB100 million) | RMB100 million | 627.52 | 669.57 | 323.28 | 7 |
| Financial targeted poverty alleviation loans issued | million RMB | 873 | 34 | ||
| Green credit investment in clean energy | million RMB | 132 | 30 | ||
| Green credit investment in clean transportation | million RMB | 801 | 30 | ||
| Green credit investment in ecological protection and adaptation to climate change | billion RMB | 4.2 | 30 | ||
| Green credit investment in energy-saving projects | billion RMB | 2.63 | 30 | ||
| Green credit investment in pollution control | billion RMB | 3.811 | 30 | ||
| Green credit investment in resource conservation and circular economy | million RMB | 70 | 30 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Customer satisfaction rate (%) | % | 99.3 | 99.39 | 99.49 | 7 |
| Customers' complaints solution satisfaction rate (%) | % | 100 | 100 | 100 | 7 |
| Gross loans and advances to customers (RMB1 million) | RMB1 million | 170500.7 | 210017.13 | 223422.06 | 7 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| E-banking replacement ratio (%) | % | 98.67 | 98.88 | 99 | 7 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Capital adequacy ratio (%) | % | 13.6 | 12.63 | 12.89 | 7 |
| Provision coverage ratio (%) | % | 171.42 | 165.65 | 171.56 | 7 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Pre-assessment of primary-level Party organizations in the Bank regarding political integrity building | primary-level Party organizations | 36 | 17 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of Anti-Money Laundering Training conducted | times | 8 | 16 |
| Number of participants in the Anti-Money Laundering Training | person | 1032 | 16 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Basic and diluted earnings per share (RMB) | RMB | 0.51 | 0.34 | 0.31 | 7 |
| Total amount of poverty alleviation funds allocated | million RMB | 47.47 | 34 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Charity donation (RMB10000) | RMB10000 | 504.69 | 1022 | 2828 | 7 |
| Credit allocated to support poverty-stricken areas | million RMB | 15195 | 34 | ||
| Funds donated to establish tea planting base and processing plant for agricultural sideline products in Ninghong Village | million RMB | 1.3 | 34 | ||
| Funds donated to rebuild village primary school and improve children's sports and library facilities in Ninghong Village | million RMB | 1.8 | 34 | ||
| Funds invested in poverty alleviation through consumption | million RMB | 2.13 | 34 | ||
| Social contribution per share (RMB) | RMB | 2.67 | 2.69 | 2.81 | 7 |
| Total amount of RMB donated to Jiangxi Charity Federation and targeted poverty alleviation villages | million RMB | 30.052 | 4 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 6.31 |
| NOₓ Emissions | kg | 266.08 |
| SOₓ Emissions | kg | 3.45 |
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 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne CO2 | 1036.33 |
| Indirect Energy Emissions (Scope 2) | tonne CO2 | 18093.37 |
| Total GHG Emissions | tonne CO2 | 19129.69 |
| Total GHG Emissions Intensity (By Area) | tonne CO2/m² | 0.08 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Hazardous Waste | pcs | 3463.22 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Non-Hazardous Waste (Office Waste) | tonne | 25.96 |
| Paper Waste | tonne | 24.84 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Ammonia Nitrogen Emissions Reduction Compared to Last Year | tonnes | 1309.51 |
| CO2 Emissions Reduction Compared to Last Year | tonnes | 703611.79 |
| GHG Emissions Reduction Compared to Last Year | tonnes | 703611.79 |
| NOx Emissions Reduction Compared to Last Year | tonnes | 330.23 |
| SO2 Emissions Reduction Compared to Last Year | tonnes | 87.4 |
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 |
|---|---|---|
| Diesel Fuel Consumption | 1000 kWh | 40.12 |
| Energy Consumption Intensity (By Area) | 1000 kWh/m² | 0.15 |
| Gasoline Consumption | 1056.63 | |
| Natural Gas Consumption | 3838.47 | |
| Purchased Electricity | 1000 kWh | 29656.39 |
| Purchased Electricity Intensity (By Area) | 1000 kWh/m² | 0.13 |
| Total Energy Consumption | 34591.62 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Water Consumption | kg | 1866010000 |
| Water Consumption Intensity (By Revenue) | tonne/m² | 0.8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | 4135 | |||
| Number of Employees Aged Above 50 | 137 | |||
| Number of Employees Aged Below 30 | 966 | |||
| Number of Female Employees | 2361 | |||
| Number of Full-time Employees | 5238 | |||
| Number of General Employees | 5102 | |||
| Number of Male Employees | 2877 | |||
| Number of Middle Management Employees | 126 | |||
| Number of Senior Management Employees | 10 | |||
| Number of Total Employees | Person | 4858 | 5061 | 5238 |
| Percentage of Employees Aged 30-50 | % | 78.94 | ||
| Percentage of Employees Aged Above 50 | % | 2.62 | ||
| Percentage of Employees Aged Below 30 | % | 18.44 | ||
| Percentage of Female Employees | % | 55 | 54.16 | 45.07 |
| Percentage of Full-time Employees | % | 100 | ||
| Percentage of General Employees | % | 97.4 | ||
| Percentage of Male Employees | % | 54.93 | ||
| Percentage of Middle Management Employees | % | 2.41 | ||
| Percentage of Senior Management Employees | % | 0.19 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 4.61 |
| Turnover Rate of Employees Aged Below 30 | % | 6.8 |
| Turnover Rate of Female Employees | % | 4.1 |
| Turnover Rate of Full-time Employees | % | 4.83 |
| Turnover Rate of General Employees | % | 4.94 |
| Turnover Rate of Male Employees | % | 5.72 |
| Turnover Rate of Middle Management Employees | % | 0.79 |
| Turnover Rate of Total Employees | % | 4.83 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Trained Female Employees | % |
| Percentage of Trained Male Employees | % |
| Percentage of Trained Middle Management | % |
| Percentage of Trained Senior Management | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | |||
| Average Training Hours (Male) | hours | |||
| Average Training Hours (Middle Management) | hours | |||
| Average Training Hours (Senior Management) | hours | |||
| Average Training Hours per Employee | Hour | 130.88 | 113.47 | 80 |
| Total Training Hours | hours |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers | suppliers |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | suppliers |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Satisfaction Rate of Customer Complaint Handling | % | 100 | 100 | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Anti-corruption Training Session | times | 8 |
| Number of Attendance for Anti-corruption Training | person | 1032 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | person | 1032 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Investment in Education Donation | million RMB | 1.8 | ||
| Investment in Targeted Poverty Alleviation | million RMB | 2.13 | ||
| Number of Participations in Volunteer Activities | participants | 800 | ||
| Number of Volunteer Activities Sessions | activities | 800 | ||
| Total Public Welfare Donations | million RMB | 5046900 | 10220000 | 28280000 |
| Total Volunteer Service Hours | hours | 2640 |