2017 CSR Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Nitrogen oxides (NOX) emissions from head office bus travel | tons | 0.1109 | 86 |
| Particulate matter (PM) emissions from head office bus travel | tons | 0.0082 | 86 |
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 | 2017 | Report Pages |
|---|---|---|---|
| CO2 emissions reduction increase from previous year | % | 29.9 | 83 |
| Direct greenhouse gas emissions from the Head Office | tons of CO2e | 2727.6 | 87 |
| Greenhouse gas emissions from the Head Office | tons of CO2e | 833324.72 | 87 |
| Greenhouse gas emissions per person from the Head Office | tons/person | 5.98 | 87 |
| Indirect greenhouse gas emissions from the Head Office | tons of CO2e | 80597.12 | 87 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Electronic waste - Desktop cases discharged by Head Office | pieces | 475 | 88 |
| Electronic waste - Desktop cases discharged by Head Office per person | pieces/person | 0.17 | 88 |
| Electronic waste - Laptops discharged by Head Office | pieces | 40 | 88 |
| Electronic waste - Laptops discharged by Head Office per person | pieces/person | 0.015 | 88 |
| Electronic waste - Monitors discharged by Head Office | pieces | 475 | 88 |
| Electronic waste - Monitors discharged by Head Office per person | pieces/person | 0.17 | 88 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| CO2 emissions reduced by e-banking | tons | 15483.17 | 83 |
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 | Report Pages |
|---|---|---|---|
| Decrease in total paper consumption per person | tons | -4.97 | 86 |
| Head office bus travel distance | kilometers | 1484100 | 86 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Water consumption (entire bank) | tons | 332000 | 86 |
| Water consumption per person (entire bank) | tons/person | 23.84 | 86 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| All-inclusive outlets | 422 | 605 | 662 | 70 | |
| Number of branches and outlets outside mainland China (excluding representative offices) | branches and outlets | 65 | 10 | ||
| Number of branches in mainland China | branches | 235 | 10 | ||
| Number of branches under direct supervision of head office | branches | 7 | 10 | ||
| Number of branches under supervision of provincial branches | branches | 198 | 10 | ||
| Number of employees | 91240 | 91 | |||
| Number of employees at customer service center | 953 | 74 | |||
| Number of employees with disabilities | 116 | 91 | |||
| Number of ethnic minority employees | 3976 | 91 | |||
| Number of years as top-20 ranked bank in Tier-1 capital | years | 4 | 10 | ||
| Proportion of employees aged 30 and below | % | 40.57% | 37.51% | 91 | |
| Proportion of employees aged 31 to 50 | % | 51.95% | 54.89% | 91 | |
| Proportion of employees aged 50 and above | % | 7.48% | 7.60% | 91 | |
| Proportion of employees with associate degree and below | % | 20.24% | 19.39% | 91 | |
| Proportion of employees with bachelor's degree | % | 68.61% | 68.96% | 91 | |
| Proportion of employees with master's degree and above | % | 11.15% | 11.65% | 91 | |
| Proportion of female employees | % | 52.90% | 91 | ||
| Proportion of female in senior management | % | 36.53% | 37.22% | 91 | |
| Proportion of females in senior management | % | 37.22% | 91 | ||
| Proportion of overseas employees | % | 2.56% | 91 | ||
| Proportion of senior management | % | 7.63% | 8.09% | 91 | |
| Return on average assets | 1.00% | 0.87% | 0.81% | 11 | |
| Return on average equity | 13.43% | 12.18% | 11.44% | 11 | |
| Total assets | RMB 100 million | 71553.62 | 84031.66 | 90382.54 | 11 |
| Total loans | RMB 100 million | 37220.06 | 41029.59 | 44569.14 | 11 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate | % | 4.71% | 91 | |
| Turnover rate of administrative personnel (domestic employees) | % | 6.15% | 5.78% | 91 |
| Turnover rate of business personnel (domestic employees) | % | 5.01% | 5.60% | 91 |
| Turnover rate of management personnel (domestic employees) | % | 0.94% | 0.73% | 91 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of video conferences (entire bank) | 7342 | 86 |
Number of suppliers by geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Credit growth rate of small and micro-enterprises | % | 8.75 | 9.53 | 12.69 | 62 |
| Decrease in outstanding loans to industries with serious overcapacity | percentage point | -0.7 | 80 | ||
| Increase in Ningbo branch outstanding loans | billion RMB | 1.484 | 54 | ||
| Increase in Ningbo branch outstanding loans (percentage) | % | 10.85 | 54 | ||
| Loan customers of small and micro-enterprises | 141357 | 144388 | 155309 | 62 | |
| Loans for run-down area and property renovation projects | billion RMB | 38.253 | 59 | ||
| Number of counties or county-level cities with outlets | counties or county-level cities | 158 | 10 | ||
| Number of countries and regions covered outside mainland China | countries and regions | 16 | 10 | ||
| Number of outlets in mainland China | outlets | 3270 | 10 | ||
| Number of representative offices outside mainland China | representative offices | 21 | 10 | ||
| Outlets | 3141 | 3285 | 3270 | 70 | |
| Outlets in central and western regions | 1572 | 1549 | 1458 | 71 | |
| Outstanding loans for common owner-occupied housing | billion RMB | 882 | 59 | ||
| Outstanding loans of small and micro-enterprises | RMB 100 million | 6244.58 | 6839.58 | 7707.19 | 62 |
| Outstanding personal loans for low-income housing | billion RMB | 1.759 | 59 |
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 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Loan approval rate of small and micro-enterprises | % | 86.96 | 92.59 | 94 | 62 |
| Number of outlets with iTMs introduced | 1349 | 84 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|---|---|
| Clients checked after early warning related to corporate lending rules | clients | 1337 | 16 | ||||
| Clients issued early warnings related to corporate lending rules | clients | 1507 | 16 | ||||
| Customer satisfaction | % | 98.33 | 74 | ||||
| Customer satisfaction for handling results | % | 99.85 | 74 | ||||
| Increase in outstanding loans for common owner-occupied housing compared with beginning of the year | billion RMB | 128.2 | 59 | ||||
| Increase in use of video conferences | % | 5.5 | 86 | ||||
| Mobile credit card approval rate | 73.4% | 71 | |||||
| Mobile credit cards (version 1.0) issued | million | 2.8 | 71 | ||||
| Printing cost reduction from electronic file management pilot program | million RMB | 3.16 | 86 | ||||
| Proportion of transactions handled by self-service automated machines | % | 86.27% | 84 | ||||
| Ratio of complaints handled | % | 100 | 74 | ||||
| Ratio of complaints handled on time | % | 95.58% | 74 | ||||
| Self-service areas at outlets | 2589 | 2641 | 2642 | 2577 | 3207 | 71, 84 | |
| Self-service automated machines | 24037 | 27085 | 30703 | 30500 | 30703 | 71, 84 | |
| Self-service kiosks | 6138 | 6904 | 7585 | 71 | |||
| Time needed for handling complaints | Hour | 24 | 74 | ||||
| Transactions related to corporate lending rules issued early warnings | transactions | 4514 | 16 | ||||
| e-banking business share | % | 94.54 | 83 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| iTMs | 953 | 899 | 693 | 71 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|---|---|
| Fully automated self-service areas | 6842 | 7263 | 7585 | 6904 | 6138 | 84 | |
| Fully automated self-service banks | 2905 | 3525 | 3840 | 3603 | 3182 | 70, 84 | |
| Product sales from OTO Cup scenario-based marketing | billion RMB | 9.784 | 71 | ||||
| Products for small and micro-enterprises launched in 2017 | 3 | 4 | 2 | 62 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Self-service banks | 14834 | 14329 | 12828 | 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 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Corruption activities discovered and investigated (Long Sword 2017 campaign) | cases | 365 | 16 | ||
| Corruption activities losses (Long Sword 2017 campaign) | million RMB | 27.22 | 16 | ||
| Impaired loan ratio | 1.51% | 1.52% | 1.50% | 11 | |
| Number of consecutive years on Fortune Global 500 list | years | 9 | 10 | ||
| Provision coverage | 155.57% | 150.50% | 153.08% | 11 | |
| The Banker Top 1000 World Banks ranking (Tier-1 capital) | rank | 11 | 10 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Early warnings issued to financial transactions | transactions | 1851 | 16 |
| Financial transactions checked after early warning | transactions | 1721 | 16 |
| Percentage of clients checked after early warning related to corporate lending rules | 88.7% | 16 | |
| Percentage of financial transactions checked after early warning | 92.9% | 16 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Fortune Global 500 ranking by revenue | rank | 171 | 10 |
| Number of cities with outlets at or above prefecture level | cities | 239 | 10 |
| Number of provincial branches in mainland China | branches | 30 | 10 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Ningbo branch outstanding loans | billion RMB | 15.163 | 54 | ||
| Taxes | RMB 100 million | 337.71 | 331.57 | 297.95 | 11 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tons | 0.0082 |
| NOâ‚“ Emissions | tons | 0.1109 |
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 | 2017 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tons of CO2e | 2727.6 |
| Indirect Energy Emissions (Scope 2) | tons of CO2e | 80597.12 |
| Total GHG Emissions | tons of CO2e | 83324.72 |
| Total GHG Emissions Intensity (By Employee) | tons/person | 5.98 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Hazardous Electronic Waste | pieces | 990 |
| Hazardous Waste (Electronic and IT Equipment) | pieces | 990 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Paper Waste | tons |
| Total Non-Hazardous Waste Intensity (By Employee) | kg/person |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons | 15483.17 |
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 |
|---|---|
| Direct Energy Intensity (By Employee) | cubic meters/person |
| Natural Gas Consumption | million m3 |
| Purchased Electricity | million kWh |
| Purchased Electricity Intensity (By Employee) | degrees/person |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Water Consumption | tons | 332000 |
| Water Consumption Intensity (By Revenue) | tons/person | 23.84 |
| Water Consumption in Office | 10000 tons |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Energy Consumption Reduction Compared to Last Year | m3 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit |
|---|---|
| Packaging Material Consumption (Paper) | tons |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | 50097 | |||
| Number of Employees Aged Above 50 | 6931 | |||
| Number of Employees Aged Below 30 | 34232 | |||
| Number of Total Employees | 91468 | 92556 | 91240 | |
| Percentage of Bachelor's Degree Employees | % | 68.96 | ||
| Percentage of Below Junior College Employees | % | 19.39 | ||
| Percentage of Employees Aged 30-50 | % | 54.89 | ||
| Percentage of Employees Aged Above 50 | % | 7.6 | ||
| Percentage of Employees Aged Below 30 | % | 37.51 | ||
| Percentage of Employees in Overseas | % | 2.56 | ||
| Percentage of Female Employees | % | 52.9 | ||
| Percentage of Master's Degree Employees | % | 11.65 | ||
| Percentage of Senior Management Employees | % | 8.09 | ||
| Percentage of Senior Management Employees (Female) | % | 37.22 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2016 | 2017 |
|---|---|---|---|
| Turnover Rate of Administrative Personnel | % | 6.15 | 5.78 |
| Turnover Rate of Business Personnel | % | 5.01 | 5.6 |
| Turnover Rate of Management Personnel | % | 0.94 | 0.73 |
| Turnover Rate of Total Employees | % | 4.71 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Trained | |
| Percentage of Trained General Employees | |
| Percentage of Trained Middle Management | |
| Percentage of Trained Senior Management |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of Total Suppliers | 832 |
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 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Complaints Handling Rate | % | 100 |
| Satisfaction Rate of Customer Complaint Handling | % | 98.33 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Number of Intellectual Property Rights Obtained by the Company | 953 | 899 | 693 |
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.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of Confirmed Incidents of Corruption | cases | 365 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit |
|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | RMB 10000 |
| Investment in Targeted Poverty Alleviation | RMB 10000 |
| Total Public Welfare Donations | RMB 10000 |
| Total Social Investment | RMB 10000 |