2024 BANK OF TIANJIN CO., LTD SOCIAL RESPONSIBILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Nitrogen oxide emissions | gram | 686676.77 | 577891.7 | 12 | |
Particulate matter emissions | gram | 63407.73 | 53202.42 | 12 | |
Reduction of emission of ammonia nitrogen (green bonds) | tonnes | 120.14 | 52 | ||
Reduction of emission of biological oxygen demand (green bonds) | tonnes | 621.6 | 52 | ||
Reduction of emission of carbon dioxide (green bonds) | tonnes | 9169.57 | 52 | ||
Reduction of emission of chemical oxygen demand (green bonds) | tonnes | 1909.44 | 52 | ||
Reduction of emission of nitrogen oxide (green bonds) | tonnes | 610.1 | 52 | ||
Reduction of emission of particulate matters (green bonds) | tonnes | 12.93 | 52 | ||
Reduction of emission of sulfur dioxide (green bonds) | tonnes | 2455.17 | 52 | ||
Sewage waste emissions per RMB1 million of revenue | Tonne/RMB1 million | 63407.73 | 53202.42 | 70 | |
Sulfur oxide emissions | gram | 2707.24 | 2925.71 | 12 |
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 GHG emissions (Scope 1) | tCO2e | 1563.83 | 1775.08 | 1573.59 | 76 |
Direct GHG emissions (scope 1) | Tonnes of CO2e | 1563.83 | 1775.08 | 1573.59 | 12 |
Fuel and energy related activities (tap water, paper) not included in Scope 1 GHG emissions or Scope 2 GHG emissions | tCO2e | 225.25 | 76 | ||
GHG emissions (Scope 1+2) | tCO2e | 30431.8 | 33935.91 | 32019.77 | 76 |
GHG emissions (scope 1+2) | Tonnes of CO2e | 30431.8 | 33935.91 | 32019.77 | 12 |
GHG emissions per RMB1 million of revenue (Scope 1+2) | tCO2e/RMB1 million | 1.93 | 2.06 | 1.92 | 76 |
GHG emissions per RMB1 million of revenue (scope 1+2) | Tonnes of CO2e/ RMB1 million | 1.93 | 2.06 | 1.92 | 12 |
GHG emissions per person (Scope 1+2) | tCO2e/person | 4.54 | 5.07 | 4.82 | 76 |
GHG emissions per person (scope 1+2) | Tonnes of CO2e/ person | 4.54 | 5.07 | 4.82 | 12 |
Indirect GHG emissions (Scope 2) | tCO2e | 28867.97 | 32160.83 | 30446.18 | 76 |
Indirect GHG emissions (Scope 3) | tCO2e | 555.88 | 76 | ||
Indirect GHG emissions (scope 2) | Tonnes of CO2e | 28867.97 | 32160.83 | 30446.18 | 12 |
Indirect GHG emissions (scope 3) | Tonnes of CO2e | 555.88 | 12 | ||
Scope 1 GHG emissions year-on-year reduction | percent | 11.35 | 75 | ||
Scope 2 GHG emissions year-on-year reduction | percent | 5.33 | 75 | ||
Total GHG emissions (Scope 1+2+3) | tCO2e | 32575.65 | 76 | ||
Total GHG emissions (scope 1+2+3) | Tonnes of CO2e | 32575.65 | 12 |
Total 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 |
---|---|---|---|---|---|
Hazardous waste emissions | Unit | 2707.24 | 2925.71 | 8.626 | 70 |
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 |
---|---|---|---|---|---|
Non-hazardous waste emissions | Tonne | 112846.7 | 111229.93 | 564.9 | 70 |
Non-hazardous waste emissions per RMB1 million of revenue | Tonne/RMB1 million | 7.06 | 6.86 | 6.91 | 70 |
Sewage discharge | Tonne | 686676.77 | 577891.7 | 70 |
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 | 2023 | Report Pages |
---|---|---|---|
Comprehensive utilisation of solid waste (green bonds) | 10 thousand tonnes | 23.8 | 52 |
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 | Litre | 1372.69 | 265.32 | 818.28 | 12 |
Diesel consumption (Litre) | Litre | 265.32 | 818.28 | 1372.69 | 69 |
Employee commuting | tCO2e | 156.49 | 76 | ||
Energy consumption per employee | MWh/person | 8.15 | 9.02 | 8.99 | 12 |
Energy consumption per employee (MWh/person) | MWh/person | 8.15 | 9.02 | 8.99 | 69 |
Gasoline consumption | Litre | 143151.23 | 167909.53 | 180974.02 | 12 |
Gasoline consumption (Litre) | Litre | 143151.23 | 167909.53 | 180974.02 | 69 |
Natural gas consumption | Cubic meter | 569919.61 | 643064 | 537248.06 | 12 |
Natural gas consumption (Cubic meters) | Cubic meters | 569919.61 | 643064 | 537248.06 | 69 |
Outsourced electricity consumption | MWh | 33451.6 | 37984.02 | 37340.87 | 12 |
Outsourced electricity consumption (MWh) | MWh | 33451.6 | 37984.02 | 37340.87 | 69 |
Outsourced heat | GJ | 49758.88 | 50467.08 | 53844.5 | 12 |
Outsourced heat (GJ) | GJ | 49758.88 | 50467.08 | 53844.5 | 69 |
Overall energy consumption | MWh | 54698.53 | 60424.21 | 59693.42 | 12 |
Overall energy consumption (MWh) | MWh | 54698.53 | 60424.21 | 59693.42 | 69 |
Overall energy consumption per RMB1 million of revenue | MWh/RMB1 million | 3.47 | 3.67 | 3.57 | 12 |
Overall energy consumption per RMB1 million of revenue (MWh/RMB1 million) | MWh/RMB1 million | 3.47 | 3.67 | 3.57 | 69 |
Saving of standard coal (green bonds) | 10 thousand tonnes | 31.53 | 52 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Consumption of water distributed via municipal water supply | Tonne | 130858.74 | 132760.82 | 135883.54 | 12 |
Consumption of water distributed via municipal water supply (Tonne) | Tonne | 130858.74 | 132760.82 | 135883.54 | 69 |
Consumption of water distributed via municipal water supply per RMB1 million of revenue (tonne/RMB1 million) | tonne/RMB1 million | 8.3 | 8.07 | 8.13 | 69 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Water-saving amount (green bonds) | 10 thousand tonnes | 3.97 | 52 |
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 |
---|---|---|---|---|---|
Consumption of A3 and A4 copy paper (Tons) | Tons | 152.1 | 183.83 | 164.51 | 69 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Allowance coverage ratio | %, percent | 159.27 | 167.86 | 169.21 | 6, 11 |
Average return on total assets | % | 0.48 | 0.47 | 0.43 | 11 |
Employee travel | tCO2e | 174.14 | 76 | ||
Female employees | persons | 2726 | 2721 | 2711 | 89 |
Housing provident fund participation rate | % | 100 | 100 | 100 | 11 |
Male employees | persons | 3982 | 3978 | 3928 | 89 |
Number of employees aged 21-30 years old (inclusive) | persons | 1237 | 1089 | 1039 | 89 |
Number of employees aged 31-40 years old (inclusive) | persons | 2857 | 3074 | 3124 | 89 |
Number of employees aged 41-50 years old (inclusive) | persons | 1680 | 1499 | 1370 | 89 |
Number of employees aged 51 years old or above | persons | 934 | 1037 | 1106 | 89 |
Number of employees in Tianjin | persons | 4610 | 4620 | 4594 | 89 |
Number of employees in other regions | persons | 2098 | 2079 | 2045 | 89 |
Number of female employees | Person | 3982 | 3978 | 3928 | 11 |
Number of male employees | Person | 2726 | 2721 | 2711 | 11 |
Social insurance participation rate | % | 100 | 100 | 100 | 11 |
Total assets | RMB100 million | 7610.83 | 8407.71 | 9259.94 | 11 |
Total liabilities | RMB100 million | 7004.64 | 7757.42 | 8565.84 | 11 |
Total number of employees | Person, persons | 6708 | 6699 | 6639 | 11, 89 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Employee turnover rate | % | 3.54 | 2.67 | 2.09 | 89 |
Employee turnover rate aged 21-30 years old (inclusive) | % | 7.41 | 3.8 | 3.46 | 89 |
Employee turnover rate aged 31-40 years old (inclusive) | % | 4.32 | 4.03 | 2.53 | 89 |
Employee turnover rate aged 41-50 years old (inclusive) | % | 0.88 | 0.79 | 1.37 | 89 |
Employee turnover rate aged 51 years old or above | % | 0.32 | 0.38 | 0.09 | 89 |
Employee turnover rate in Tianjin | % | 1.6 | 1.16 | 1.1 | 89 |
Employee turnover rate in other regions | % | 7.54 | 5.89 | 4.26 | 89 |
Female staff turnover rate | % | 3.28 | 2.31 | 2 | 89 |
Male staff turnover rate | % | 3.91 | 3.2 | 2.24 | 89 |
Operating income | RMB100 million | 157.59 | 164.56 | 167.09 | 11 |
Operating income increase | percent | 1.5 | 6 |
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 |
---|---|---|---|---|---|
Number of deaths | 1 | 1 | 93 | ||
Number of injuries | 26 | 30 | 23 | 93 | |
Number of work injuries and accidents | 26 | 30 | 24 | 93 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of lost days due to work injury | days | 1996 | 3039 | 2422 | 93 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of training sessions for employees | sessions | 1575 | 1450 | 1783 | 6, 91 |
Percentage of female employee trained | 100% | 91 | |||
Percentage of male employee trained | 100% | 91 | |||
Percentage of middle management employees trained | 100% | 91 | |||
Percentage of ordinary employees trained | 100% | 91 | |||
Percentage of senior management officers trained | 100% | 91 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Average training hours per middle management employee | hours | 99.58 | 113 | 156.35 | 91 |
Average training hours per ordinary employee | hours | 83.13 | 88.35 | 98.54 | 91 |
Average training hours per senior management officer | hours | 192.62 | 206 | 208.38 | 91 |
Employees trained (10 thousand) | 10 thousand | 10.67 | 11.25 | 15.01 | 91 |
Training hours per employee | hours | 83.65 | 89.01 | 99.96 | 91 |
Training hours per female employee | hours | 82.79 | 87.69 | 99.07 | 91 |
Training hours per male employee | hours | 84.85 | 90.95 | 101.25 | 91 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Balance of loans and advance to customers | RMB100 million | 3373.97 | 3960.09 | 4407.79 | 11 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Increase in allowance coverage ratio | percentage points | 1.35 | 6 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Bank's assets increase | percent | 10.1 | 6 |
Bank's liabilities increase | percent | 10.4 | 6 |
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 | % | 12.8 | 12.64 | 13.59 | 11 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of people attending advanced commendation conference and Lantern Festival art performance | people | 800 | 95 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Taxes paid | RMB100 million | 4.53 | 3.87 | 5.99 | 11 |
Total external donations | RMB10 thousand | 788 | 1261 | 534 | 11 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | gram | 63407.73 | 53202.42 |
NOâ‚“ Emissions | gram | 686676.77 | 577891.7 |
SOâ‚“ Emissions | gram | 2707.24 | 2925.71 |
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) | tCO2e | 1563.83 | 1775.08 | 1573.59 |
Indirect Energy Emissions (Scope 2) | tCO2e | 28867.97 | 32160.83 | 30446.18 |
Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | tCO2e | 225.25 | ||
Scope 3 GHG Emissions (Purchased Goods/Services) | tCO2e | 555.88 | ||
Total GHG Emissions | tCO2e | 30431.8 | 33935.91 | 32575.65 |
Total GHG Emissions Intensity (By Employee) | tCO2e/person | 4.54 | 5.07 | 4.82 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB1 million | 1.93 | 2.06 | 1.92 |
Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 225.25 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Total Hazardous Waste | Unit | 2707.24 | 2925.71 | 8.626 |
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 |
---|---|---|---|---|
Total Non-Hazardous Waste Intensity (By Revenue) | Tonne/RMB1 million | 7.06 | 6.86 | 6.91 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
GHG Emissions Reduction Compared to Last Year | kg |
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 |
---|---|---|---|---|
Diesel Fuel Consumption | Litre | 1372.69 | 818.28 | 1372.69 |
Energy Consumption Intensity (By Employee) | MWh/person | 8.15 | 9.02 | 8.99 |
Energy Consumption Intensity (By Revenue) | MWh/RMB1 million | 3.47 | 3.67 | 3.57 |
Gasoline Consumption | Litre | 143151.23 | 167909.53 | 180974.02 |
Natural Gas Consumption | Cubic meters | 569919.61 | 643064 | 537248.06 |
Purchased Electricity | MWh | 33451.6 | 37984.02 | 37340.87 |
Purchased Heating | GJ | 49758.88 | 50467.08 | 53844.5 |
Total Energy Consumption | MWh | 54698.53 | 60424.21 | 59693.42 |
Total Indirect Energy Consumption | MWh | 33451.6 | 37984.02 | 37340.87 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Municipal Water Consumption | Tonne | 130858.74 | 132760.82 | 135883.54 |
Water Consumption Intensity (By Revenue) | tonne/RMB1 million | 8.3 | 8.07 | 8.13 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
Water Consumption Reduction Compared to Last Year | 10 thousand tonnes | 3.97 |
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) | Tons | 152.1 | 183.83 | 164.51 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Standard Indicator | Unit |
---|---|
Investment in Climate Change Management | billion RMB |
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 | persons | 4537 | 4573 | 4494 |
Number of Employees Aged Above 50 | persons | 934 | 1037 | 1106 |
Number of Employees Aged Below 30 | persons | 1237 | 1089 | 1039 |
Number of Female Employees | persons | 2726 | 2721 | 2711 |
Number of Male Employees | persons | 3982 | 3978 | 3928 |
Number of Total Employees | persons | 6708 | 6699 | 6639 |
Percentage of Employees Aged 30-50 | % | 67.6 | 68.29 | 67.7 |
Percentage of Employees Aged Above 50 | % | 13.92 | 15.49 | 16.66 |
Percentage of Employees Aged Below 30 | % | 18.43 | 16.27 | 15.65 |
Percentage of Female Employees | % | 40.64 | 40.59 | 40.78 |
Percentage of Male Employees | % | 59.36 | 59.41 | 59.22 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Turnover Rate of Female Employees | % | 3.28 | 2.31 | 2 |
Turnover Rate of Male Employees | % | 3.91 | 3.2 | 2.24 |
Turnover Rate of Total Employees | % | 3.54 | 2.67 | 2.09 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | 1 | 1 | |
Number of Fatalities of the Last 3 Years | 2 | ||
Number of Work-related Fatalities | 1 | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 1996 | 3039 | 2422 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2024 |
---|---|---|
Percentage of Trained Female Employees | percent | 100 |
Percentage of Trained General Employees | percent | 100 |
Percentage of Trained Male Employees | percent | 100 |
Percentage of Trained Middle Management | percent | 100 |
Percentage of Trained Senior Management | percent | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 82.79 | 87.69 | 99.07 |
Average Training Hours (General Staff) | hours | 83.13 | 88.35 | 98.54 |
Average Training Hours (Male) | hours | 84.85 | 90.95 | 101.25 |
Average Training Hours (Middle Management) | hours | 99.58 | 113 | 156.35 |
Average Training Hours (Senior Management) | hours | 192.62 | 206 | 208.38 |
Average Training Hours per Employee | hours | 83.65 | 89.01 | 99.96 |
Number of suppliers by geographical region.
Standard Indicator | Unit |
---|---|
Number of Suppliers in Mainland China | |
Number of Total Suppliers |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Standard Indicator | Unit |
---|---|
Percentage of Recalled Products for Safety and Health Reasons |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit |
---|---|
Number of Anti-corruption Training Session | sessions |
Number of Directors and Management Attendance for Anti-corruption Training | persons |
Number of General Employees Attendance for Anti-corruption Training | persons |
Number of People Participated in Ethical Standards and Anti-corruption Training | persons |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Total Public Welfare Donations | RMB | 78800 | 126100 | 53400 |