2019 corporate social responsibility report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Laptop processing capacity in Beijing | set | 3258 | 174 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Display processing capacity in Beijing | set | 458 | 174 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Balance of green credit loans | trillion RMB | 1.19 | 10, 17 | ||
| Electricity consumption per capita in Head Office | kwh/person | 5724.99 | 5866.87 | 6042.16 | 55 |
| Gas consumption per capita in Head Office | m³/person | 61.18 | 63.04 | 62.82 | 55 |
| Printer processing capacity in Beijing | set | 36 | 174 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Water consumption per capita in Head Office | m³/person | 42.7 | 44.31 | 47.61 | 55 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of green asset-backed bonds issued by ABC | 2 | 171 | |
| Number of green bonds issued | bonds | 7 | 17 |
| Percentage of annual target achieved for counties (including county-level cities) under Green Homes for Cities and Towns initiative | % | 280 | 109 |
| Percentage of annual target achieved for towns under Green Homes for Cities and Towns initiative | % | 159.31 | 109 |
| Percentage of annual target completed for loans under Green Homes for Cities and Towns initiative | % | 140.53 | 109 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of employees aged 31-40 years old | people | 88018 | 213 | ||
| Number of employees aged 41-50 years old | people | 159282 | 213 | ||
| Number of employees at Head Office provided with physical and mental health examinations | employees | 5000 | 222 | ||
| Number of employees helped in need (ABC) | 30000 | 209 | |||
| Number of employees in overseas branches and representative offices | people | 735 | 213 | ||
| Number of employees in subsidiaries running comprehensive business and rural banks | people | 8459 | 213 | ||
| Number of employees over 51 years old | people | 127014 | 213 | ||
| Number of employees promoted to senior professional posts or higher | employees | >1300 | 216 | ||
| Number of employees under 30 years old | people | 89697 | 213 | ||
| Number of employees with Bachelor's degree | people | 234804 | 213 | ||
| Number of employees with Master's degree | people | 28408 | 213 | ||
| Number of employees with Ph.D. degree | people | 528 | 213 | ||
| Number of employees with vocational school or lower education | people | 200271 | 213 | ||
| Number of female employees | people | 211715 | 213 | ||
| Number of in-service employees (ABC) | 464011 | 209 | |||
| Number of male employees | people | 252296 | 213 | ||
| Number of newly-hired graduates and college-graduate village officials | people | 12472 | 213 | ||
| Proportion of employees aged 31-40 years old | 18.97% | 213 | |||
| Proportion of employees aged 41-50 years old | 34.33% | 213 | |||
| Proportion of employees over 51 years old | 27.37% | 213 | |||
| Proportion of employees under 30 years old | 19.33% | 213 | |||
| Proportion of employees with Bachelor's degree | 50.6% | 213 | |||
| Proportion of employees with Master's degree | 6.1% | 213 | |||
| Proportion of employees with Ph.D. degree | 0.1% | 213 | |||
| Proportion of employees with vocational school or lower education | 43.2% | 213 | |||
| Proportion of female employees | % | 45.6% | 54, 213 | ||
| Proportion of male employees | 54.4% | 213 | |||
| Shareholders’ equity (RMB trillion) | RMB trillion | 1.43 | 1.67 | 1.96 | 52 |
| Shareholder’s dividends (RMB billion) | RMB billion | 57.91 | 60.86 | 63.66 | 52 |
| Total number of in-service employees | people | 464011 | 213 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Coverage of first aid knowledge training among Head Office staff | 5% | 222 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average age of county-level young employees trained and promoted | years | 29 | 210 |
| Number of Head Office staff trained in first aid knowledge and skills | employees | more than 300 | 222 |
| Number of county-level young employees trained and promoted | employees | 14000 | 210 |
| Number of trainees (Female) | trainees | 391355 | 216 |
| Number of trainees (Grassroots personnel) | trainees | 685000 | 216 |
| Number of trainees (Male) | trainees | 395934 | 216 |
| Number of trainees (Middle managerial level and above) | trainees | 105000 | 216 |
| Number of training course participants (ABC) | 787289 | 209 | |
| Number of training courses held | courses | 13700 | 20 |
| Number of training courses held (ABC) | 13700 | 209 | |
| Number of training participants | participants | 787300 | 20 |
| Number of training program sessions held | sessions | 13700 | 216 |
| Total number of training program participants | participants | 787300 | 216 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Outstanding young employees selected and received special training | employees | 14000 | 20 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Balance of cultural enterprises loan at Hangzhou Cultural Tourism Sub-branch | million RMB | 858 | 109 | ||
| Balance of farmer loans (RMB billion) | RMB billion | 206.04 | 249.99 | 321.97 | 53 |
| Balance of green credit | RMB billion | 747.63 | 1050.4 | 1191 | 55 |
| Balance of inclusive finance loans for micro and small enterprises | billion RMB | 592.3 | 142 | ||
| Balance of inclusive loans for micro and small enterprises (RMB billion) | RMB billion | —— | 374.4 | 592.3 | 53 |
| Balance of loans to strategic emerging industries | billion RMB | 495.05 | 139 | ||
| Balance of new online loan products | billion RMB | 95.83 | 143 | ||
| Balance of tourism industry loan at Hangzhou Cultural Tourism Sub-branch | billion RMB | 6.4 | 109 | ||
| Credit loan balance reduced for 15 restricted industries | billion RMB | 91.6 | 17 | ||
| Growth rate of all loans of the Bank | 46.3% | 10 | |||
| Growth rate of inclusive finance loans for small and micro enterprises | 58.2% | 10 | |||
| Growth rate of loans to 832 key state-level poverty alleviation counties compared to total loans of ABC | percentage points | 6.24 | 16 | ||
| Inclusive finance loans for small and micro enterprises | billion RMB | 592.3 | 10 | ||
| Increase in balance of loans to happiness industries compared with beginning of the year | % | 25.29 | 139 | ||
| Increase in balance of loans to strategic emerging industries compared with beginning of the year | % | 53.72 | 139 | ||
| Loan growth rate of the Bank | percentage points | 46.3 | 142 | ||
| Number of SME corporate customers attracted through online products | customers | 128600 | 143 | ||
| Number of corporate e-banking clients | RMB million | 5.32 | 6.2 | 7.22 | 199 |
| Number of county-level branch outlets | 12728 | 12622 | 12566 | 53 | |
| Number of directly subordinate tier-1 branches | 5 | 28 | |||
| Number of domestic branch outlets | 23149 | 28 | |||
| Number of new cultural enterprise clients at Hangzhou Cultural Tourism Sub-branch | clients | 57 | 109 | ||
| Number of self-service outlets newly established in poor areas | outlets | 46 | 66 | ||
| Number of tier-1 branches | 37 | 28 | |||
| Number of tier-2 branches | 390 | 28 | |||
| Total assets (RMB trillion) | RMB trillion | 21.05 | 22.61 | 24.88 | 52 |
| Total loans and advances to customers (RMB trillion) | RMB trillion | 10.72 | 11.94 | 13.36 | 52 |
| Total loans newly issued under Green Homes for Cities and Towns initiative | billion RMB | 70.27 | 109 | ||
| Year-on-year growth rate of inclusive finance loans for micro and small enterprises | percent | 58.2 | 142 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Net profit (RMB billion) | RMB billion | 193.13 | 202.63 | 212.92 | 52 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Electronic channel financial transactions as proportion of total transactions | % | 97 | 98 | 98 | 55 |
| Microcomputer (host) processing capacity in Beijing | set | 660 | 174 | ||
| Number of customers for online medical insurance payment services (Qinghai Branch) | 27006 | 153 | |||
| Number of mobile banking clients | RMB million | 206 | 257 | 310 | 199 |
| Number of online medical insurance payments from urban and rural residents in Xining and Haidong (Qinghai Branch) | 70900 | 153 | |||
| Number of personal e-banking clients | RMB million | 223 | 265 | 312 | 199 |
| Number of transactions through electronic channels as percentage of total transactions | 98% | 173 | |||
| Page views of the 'ABC micro-service' mini program | RMB million | 22 | 31 | 52 | 199 |
| Proportion of new online loan products in total new loan products | % | 81.54 | 143 | ||
| Return on weighted average net assets (%) | % | 14.57 | 13.66 | 12.43 | 52 |
| Total transaction value of online medical insurance payments (Qinghai Branch) | million RMB | 65.36 | 153 | ||
| Year-on-year increase in online medical insurance payments from urban and rural residents in Xining and Haidong (Qinghai Branch) | % | 65.22 | 153 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| ESG products launched by ABC | billion RMB | 4 | 173 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of followers of the 'Agricultural Bank of China' WeChat official account | RMB million | 67.05 | 90.81 | 133.88 | 199 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Capital adequacy ratio (%) | % | 13.74 | 15.12 | 16.13 | 52 |
| Value of SUZU Green Financial Leasing Asset Series 2019-1 Tranch B | billion RMB | 1.92 | 171 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Balance of loans to happiness industries | billion RMB | 176.14 | 139 |
| Number of counties (including county-level cities) where financial service newly extended under Green Homes for Cities and Towns initiative | counties | 84 | 109 |
| Number of new tourism industry clients at Hangzhou Cultural Tourism Sub-branch | clients | 60 | 109 |
| Number of towns where financial service newly extended under Green Homes for Cities and Towns initiative | towns | 231 | 109 |
| Number of village outlets newly established in poor areas | outlets | 57 | 66 |
| Value of COSCO Shipping Leasing Co., Ltd. 2019 Green Asset-Backed Note Series 2 | million RMB | 790 | 171 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employees in need assisted by the Bank | employees | 30000 | 20 | ||
| Number of farmer households benefiting from Huinong Cards (million households) | million households | 95 | 96 | 98 | 53 |
| Proportion of administrative villages covered by Hui Nong Tong electronic devices (%) | % | 74.4 | 74.2 | 74.3 | 53 |
| Social contribution value of each share (RMB) | RMB | 2 | 2.06 | 2.27 | 53 |
| Targeted poverty alleviation loan balance | billion RMB | 394.19 | 66 | ||
| Taxes (RMB billion) | RMB billion | 67.72 | 83.83 | 92.98 | 52 |
| Total Huinong Cards issued (million) | million | 206.27 | 216.01 | 223.98 | 53 |
| Total county area loans and advances (RMB trillion) | RMB trillion | 3.57 | 4.01 | 4.55 | 53 |
| Total value of green asset-backed bonds issued by ABC | billion RMB | 2.71 | 171 | ||
| Total value of green bonds issued | billion RMB | 39 | 17 | ||
| Total volunteering hours served by young employees | hours | 241000 | 20 | ||
| Year-on-year increase in targeted poverty alleviation loan balance | 19.4% | 66 | |||
| Year-on-year increase in total transaction value of online medical insurance payments (Qinghai Branch) | % | 101.3 | 153 | ||
| Young employees participated in volunteering activities | employees | 96000 | 20 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| Airborne Particulate Matter (PM) Emissions | million tons |
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 |
|---|---|
| Direct GHG Emissions (Scope 1) | ton |
| Indirect Energy Emissions (Scope 2) | ton |
| Total GHG Emissions | ton |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| CO2 Emissions Reduction Compared to Last Year | million tons |
| SO2 Emissions Reduction Compared to Last Year | million tons |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Diesel Fuel Consumption | ton | |||
| Gasoline Consumption | ton | |||
| LPG Consumption | ton | |||
| Natural Gas Consumption | cubic meter | 61.18 | 63.04 | 62.82 |
| Purchased Electricity | kilowatt-hour | |||
| Purchased Electricity Intensity (By Employee) | kwh/person | 5724.99 | 5866.87 | 6042.16 |
| Purchased Heating | million kilojoules | |||
| Total Energy Consumption | ton of standard coal |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Wastewater Discharge | ton | |||
| Water Consumption | ton | |||
| Water Consumption in Office | m³/person | 42.7 | 44.31 | 47.61 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Energy Consumption Reduction Compared to Last Year | tons of standard coal per year |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Bachelor's Degree Employees | people | 234804 |
| Number of Below Junior College Employees | people | 200271 |
| Number of Doctoral Degree Employees | people | 528 |
| Number of Employees Aged 30-50 | people | 247300 |
| Number of Employees Aged Above 50 | people | 127014 |
| Number of Employees Aged Below 30 | people | 89697 |
| Number of Female Employees | people | 211715 |
| Number of Male Employees | people | 252296 |
| Number of Master's Degree Employees | people | 28408 |
| Number of New Employees | people | 12472 |
| Number of Total Employees | people | 464011 |
| Percentage of Bachelor's Degree Employees | % | 50.6 |
| Percentage of Below Junior College Employees | % | 43.2 |
| Percentage of Doctoral Degree Employees | % | 0.1 |
| Percentage of Employees Aged 30-50 | % | 53.3 |
| Percentage of Employees Aged Above 50 | % | 27.37 |
| Percentage of Employees Aged Below 30 | % | 19.33 |
| Percentage of Female Employees | % | 45.6 |
| Percentage of Male Employees | % | 54.4 |
| Percentage of Master's Degree Employees | % | 6.1 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Total Employees | % |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Participation Rate of Safety Training | % | 5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Trained Female Employees | % | 49.7 |
| Percentage of Trained Male Employees | % | 50.3 |
| Percentage of Trained Middle Management | % | 13.3 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees Participating in Volunteer Activities | employees | 96000 |
| Total Volunteer Service Hours | hours | 241000 |