2016 CORPORATE SOCIAL RESPONSIBILITY 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 | 2016 | Report Pages |
|---|---|---|---|
| CO2 emissions (direct, Head Office) | tons | 557.8 | 81 |
| CO2 emissions (indirect, Head Office) | tons | 16896.8 | 81 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| CO2 emission reduction from power saving (Head Office) | tons | 1166 | 81 |
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 | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| Balance of green credit (RMB 100 million yuan) | RMB 100 million yuan | 4699.97 | 5431.31 | 6494.32 | 182 |
| Electricity consumption per capita in office (kwh/person) | kwh/person | 2574.96 | 2311.43 | 2166.9 | 182 |
| Gas consumption per capita in office (m3/person) | m3/person | 23.97 | 21.05 | 19.98 | 182 |
| Rate of rural families using clean energy (requirement) | percent | 70% or higher | 49 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| Water consumption per capita in office (m3/person) | m3/person | 13.11 | 12.96 | 13.6 | 182 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Power consumption reduction (Head Office) | million KWH per year | 1.9 | 81 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2015 | 2016 | Report Pages |
|---|---|---|---|---|
| Inner Mongolia Branch - allocated Beautiful Countryside industry funds | billion RMB | 35.8 | 50 | |
| Inner Mongolia Branch - number of cities with Beautiful Countryside industry funds | cities | 13 | 50 | |
| Inner Mongolia Branch - withdrawn Beautiful Countryside industry funds | billion RMB | 20.2 | 50 | |
| Number of major national water conservancy projects supported | 57 | 36 | ||
| Road hardening rate (requirement) | percent | 100% | 49 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Total balance of loans for people’s livelihood projects in poverty-stricken areas | billion RMB | 64.2 | 70 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| Growth rate above average level of the bank (loans for small and micro enterprises) | percentage points | 1.5 | 54 | ||
| Number of employees working overseas | 584 | 722 | 788 | 182 | |
| Proportion of ethnic minority employees (%) | % | 8.09 | 8.07 | 8.12 | 182 |
| Proportion of female employees (%) | % | 45.79 | 46.6 | 46.7 | 182 |
| Return on average total assets | % | 1.18 | 1.07 | 0.99 | 180 |
| Shareholder’s dividends | RMB 100 million | 587.88 | 565.76 | 576.15 | 180 |
| Total assets | RMB 100 million | 159741.52 | 177913.93 | 195700.61 | 180 |
| Total loans and advances | RMB 100 million | 80980.67 | 89099.18 | 97196.39 | 180 |
| Total number of county-level employees | 220484 | 216533 | 214366 | 182 | |
| Total number of employees | 493583 | 503082 | 496698 | 182 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Number of employees trained | employees | 1700000 | 110 |
| Number of training classes held | classes | 30000 | 110 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| Total number of employee trainings (10000 person/times) | 10000 person/times | 186.34 | 170.98 | 169.05 | 182 |
Number of suppliers by geographical region.
| Indicator | Unit | 1994-2006 | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|---|
| Agriculture-related loans provided to 13 major grain producing areas | billion RMB | 1440 | 36 | |||
| Balance of loans for affordable housing projects (RMB 100 million yuan) | RMB 100 million yuan | 270.58 | 416.43 | 703.27 | 182 | |
| Balance of loans granted by the Bank to water conservancy sector | billion RMB | 270 | 36 | |||
| Balance of loans to farmers | billion RMB | 191.8 | 36 | |||
| Bank's deposits growth multiple (1994-2006) | times original figure | 5.96 | 38 | |||
| Bank's loans growth multiple (1994-2006) | times original figure | 4.52 | 38 | |||
| Debt financing instruments underwritten | billion RMB | 415.1 | 54 | |||
| Enterprise financing cost | 4.66% | 54 | ||||
| Growth rate of loans for small and micro enterprises | 10.6% | 54 | ||||
| Increase in loan balance for new farming business entities compared to beginning of year | billion RMB | 3.4 | 69 | |||
| Increase in loan balance for petty loans in 832 key counties from beginning of year | billion RMB | 8.9 | 70 | |||
| Increase in loan balance for poverty alleviation in 832 key counties compared to beginning of year | billion RMB | 29.9 | 69 | |||
| Increase in loan balance for small and micro enterprises in 832 key counties compared to beginning of year | billion RMB | 11.2 | 69 | |||
| Issued 'Beautiful Countryside' industrial funds | billion RMB | 20.2 | 49 | |||
| Loan balance for small and micro enterprises in 832 key counties | billion RMB | 108.9 | 69 | |||
| Loans for small and micro enterprises increased | billion RMB | 115.4 | 54 | |||
| Loans issued for urbanization | billion RMB | 20.9 | 70 | |||
| Loans issued to hospitals and schools | billion RMB | 3.6 | 70 | |||
| Percentage increase in loan balance for new farming business entities | % | 11.5 | 69 | |||
| Percentage increase in loan balance for petty loans in 832 key counties from beginning of year | % | 23.1 | 70 | |||
| Percentage increase in loan balance for poverty alleviation in 832 key counties | % | 14.2 | 69 | |||
| Percentage increase in loan balance for small and micro enterprises in 832 key counties | % | 11.5 | 69 | |||
| Percentage increase in total balance of loans for people’s livelihood projects from beginning of year | % | 20.8 | 70 | |||
| Petty loans issued for farmers in 832 key counties of poverty alleviation | billion RMB | 41.9 | 70 | |||
| Purchase of industrial funds increased | billion RMB | 88.5 | 54 | |||
| Total loan balance for new farming business entities | billion RMB | 33 | 69 | |||
| Total loans and advances to ethnic minority areas (RMB 100 million yuan) | RMB 100 million yuan | 5266.11 | 5633.94 | 6009.24 | 182 | |
| Total number of domestic branch outlets | 23612 | 23670 | 23682 | 182 | ||
| Year-on-year growth of individual home mortgage loans at county level | 28.3% | 54 | ||||
| Year-on-year growth of individual housing loans issued | 32.9% | 54 | ||||
| Year-on-year growth of investment in local governmental bonds | 33.1% | 54 |
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 | 2016 | Report Pages |
|---|---|---|---|
| Loan balance for petty loans in 832 key counties of poverty alleviation | billion RMB | 47.2 | 70 |
| Loan balance for poverty alleviation in 832 key counties | billion RMB | 240.2 | 69 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| Electronic channel transactions as proportion of total transactions (%) | % | 72.56 | 93 | 96 | 182 |
| Individual home mortgage loans at county level | billion RMB | 763 | 54 | ||
| Individual housing loans issued | trillion RMB | 2.56 | 54 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Branches with ABC e-Housekeeper platform launched | branches | 30 | 70 |
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 | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| Capital adequacy ratio | % | 12.82 | 13.4 | 13.04 | 180 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2013 | 2016 | Report Pages |
|---|---|---|---|---|
| Approved 'Beautiful Countryside' series of industrial fund | billion RMB | 21.2 | 36 | |
| Balance of loans to large and specialized businesses (farmers) | billion RMB | 52.8 | 36 | |
| Hebei Branch - Beautiful Countryside industry project | billion RMB | 1.5 | 50 | |
| Hebei Branch - approved Beautiful Countryside projects | projects | 18 | 50 | |
| Hebei Branch - participated Beautiful Countryside construction projects | projects | 38 | 50 | |
| Investment in local governmental bonds | billion RMB | 732.8 | 54 | |
| Loans provided to 832 key counties of poverty alleviation | billion RMB | 63.7 | 69 | |
| New farming business entities supported | 136000 | 69 | ||
| Ningbo Branch - number of Beautiful Countryside projects with credit lines | projects | 3 | 50 | |
| Number of large and specialized businesses supported (farmers) | 275000 | 36 | ||
| Number of villages chosen for 'Beautiful Countryside' pilot construction projects | villages | 1100 | 49 | |
| Small and micro enterprises supported in 832 key counties | 3793 | 69 | ||
| Social benefit bond issued for poverty alleviation | million RMB | 500 | 69 | |
| Urban loans granted in rural areas | billion RMB | 400 | 36 | |
| Urban loans growth over previous year in rural areas | 18.8% | 36 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 1981-1984 | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|---|
| 'Beautiful Countryside' series of industrial fund granted | billion RMB | 20.2 | 36 | |||
| Aggregate approved 'Beautiful Countryside' industrial funds | billion RMB | 21.2 | 49 | |||
| Annual grant to each village for 'Beautiful Countryside' construction | million RMB per year | 1.5 | 49 | |||
| Farmer households supported by petty loans in 832 key counties | households | 1000000 | 70 | |||
| Farmer resettlement loans granted | billion RMB | 167.6 | 36 | |||
| Guizhou Branch - balance of Beautiful Countryside loans | billion RMB | 10.4 | 50 | |||
| Hebei Branch - Beautiful Countryside construction projects total amount | billion RMB | 11.5 | 50 | |||
| Hebei Branch - approved Beautiful Countryside projects amount | billion RMB | 6.7 | 50 | |||
| Hebei Branch - credit funds issued | billion RMB | 1.5 | 50 | |||
| Hebei Branch - intended credit line for beautiful villages construction | billion RMB | 20 | 50 | |||
| Increase in total balance of loans for people’s livelihood projects from beginning of year | billion RMB | 11 | 70 | |||
| Ningbo Branch - credit lines to Beautiful Countryside projects | million RMB | 100 | 50 | |||
| Ningbo Branch - credit loan issued | million RMB | 72 | 50 | |||
| Ningbo Branch - planned loans for environmental protection in small towns | billion RMB | 20 | 50 | |||
| Number of years of grant to each village | years | 2 | 49 | |||
| Percentage of loans issued by ABC that went to rural areas | percent | more than 98 | 37 | |||
| Public welfare donations (subset of total external donations) | million RMB | 23.1 | 11 | |||
| Reduction in enterprise financing cost (base points) | base points | 121 | 54 | |||
| Return on weighted average equity | % | 19.57 | 16.76 | 15.14 | 180 | |
| Social contribution value of each share | RMB yuan | 2.02 | 2.036 | 1.98 | 180 | |
| Taxes | RMB 100 million | 965.12 | 901.74 | 904 | 180 | |
| Total county area loans and advances | RMB 100 million yuan | 26516.46 | 28601.93 | 31775 | 180 | |
| Total external donations by ABC | million RMB | 37.7 | 11 |
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 | 2016 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 557.8 |
| Indirect Energy Emissions (Scope 2) | tons | 16896.8 |
| Total GHG Emissions | tons | 17454.6 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2016 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons | 1166 |
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 | 2014 | 2015 | 2016 |
|---|---|---|---|---|
| Natural Gas Consumption | m3/person | 23.97 | 21.05 | 19.98 |
| Purchased Electricity Intensity (By Employee) | kwh/person | 2574.96 | 2311.43 | 2166.9 |
| Solar Energy | ||||
| Wind Energy |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2014 | 2015 | 2016 |
|---|---|---|---|---|
| Water Consumption in Office | m3/person | 13.11 | 12.96 | 13.6 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2016 |
|---|---|---|
| Office Electricity Consumption Reduction Compared to Last Year | million KWH per year | 1.9 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2016 |
|---|---|---|
| Total Investment in Ecological Restoration | billion RMB | 35.8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2014 | 2015 | 2016 |
|---|---|---|---|---|
| Number of Employees in Overseas | 584 | 722 | 788 | |
| Number of Total Employees | 493583 | 503082 | 496698 | |
| Percentage of Female Employees | % | 45.79 | 46.6 | 46.7 |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2016 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2014 | 2015 | 2016 |
|---|---|---|---|---|
| Total Training Hours | person-hours | 1863400 | 1709800 | 1690500 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Proportion of Spending on Local 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 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2016 |
|---|---|---|
| Number of Employees Participating in Volunteer Activities | people | 73057 |
| Total Public Welfare Donations | million RMB | 23.1 |
| Total Social Investment | million RMB | 37.7 |