2017 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 | 2017 | Report Pages |
|---|---|---|---|
| Total greenhouse gas emissions | tons | 63825.72 | 70 |
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 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|
| Balance of green credit with general risk | RMB billion | 749 | 10 | |
| Capacity of centralized photo-voltaic power station in Shiligou Village | kW | 60 | 65 | |
| Expected annual dividend per household from photo-voltaic power generation project in Shiligou Village | RMB | 4000–6000 | 65 | |
| Investment in photo-voltaic power generation station for Shiligou Village by CEB Hefei Branch | RMB | 250000 | 65 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2014 | 2017 | Report Pages |
|---|---|---|---|---|
| Credit amount extended for Beijing-Tianjin-Hebei Integrated Development | RMB100 million | 661 | 18 | |
| Credit amount extended for The Belt and Road Initiative | RMB100 million | 2894 | 18 | |
| Credit amount extended for Yangtze River Economic Belt | RMB100 million | 2005 | 18 | |
| Land rented for loach breeding by Pang Tao | mu | 30 | 45 | |
| Rate of increase for Beijing-Tianjin-Hebei Integrated Development | 24% | 18 | ||
| Rate of increase for The Belt and Road Initiative | 88% | 18 | ||
| Rate of increase for Yangtze River Economic Belt | 32% | 18 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Average return on total assets | % | 1 | 0.85 | 0.78 | 86 |
| Bank's social insurance coverage ratio | 100% | 73 | |||
| Non-performing loans (NPL) | million RMB | 32392 | 53 | ||
| Number of directors on Board of Directors | 14 | 11 | |||
| Number of employees | employees | 44066 | 10 | ||
| Number of employees aged 30–39 | Person | 16817 | 72 | ||
| Number of employees aged ≤29 | Person | 20230 | 72 | ||
| Number of employees aged ≥40 | Person | 7019 | 72 | ||
| Number of employees granted honorary title of First-rate Expert Teller | employees | 90 | 41 | ||
| Number of employees honored as 'Star Lobby Managers' in Fuzhou | employees | 29 | 40 | ||
| Number of executive directors on Board of Directors | 3 | 11 | |||
| Number of female employees | Person | 24374 | 72 | ||
| Number of independent directors on Board of Directors | 6 | 11 | |||
| Number of male employees | Person | 19692 | 72 | ||
| Number of non-executive directors on Board of Directors | 5 | 11 | |||
| Operating revenue | RMB100 million | 931.59 | 940.37 | 918.5 | 86 |
| Proportion of female employees | % | 55.17 | 55.52 | 55.31 | 86 |
| Total assets | RMB1 trillion | 3.17 | 4.02 | 4.09 | 86 |
| Total number of employees | Person | 44066 | 72 | ||
| Total number of employees by age | Person | 44066 | 72 | ||
| Total workforce | Person | 40319 | 42250 | 44066 | 86 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Total turnover rate of contracted employees | % | 5.43 | 72 |
| Turnover rate of contracted employees aged 30–39 | % | 5.77 | 72 |
| Turnover rate of contracted employees aged ≤29 | % | 6.25 | 72 |
| Turnover rate of contracted employees aged ≥40 | % | 2.81 | 72 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of persons trained on operational safety | persons | 31875 | 73 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of Second-rate Expert Tellers | employees | 358 | 41 |
| Number of security training sessions held | sessions | 1112 | 73 |
| Number of teller exams | exams | 3500 | 41 |
| Number of training sessions for tellers organized | sessions | 8000 | 41 |
| Percentage increase in First-rate Expert Tellers over 2016 | percent | 70 | 41 |
| Percentage increase in Second-rate Expert Tellers over last year | percent | 24 | 41 |
| Total number of persons attending teller exams | persons | 120000 | 41 |
| Total number of persons attending teller training sessions | persons | 210000 | 41 |
Number of suppliers by geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Balance of agro-loans | million RMB | 297155 | 25 | ||
| Balance of loans to small and micro businesses | RMB100 million | 2884.35 | 3409.7 | 4002.78 | 86 |
| Balance of on-and off-balance-sheet credit facilities to logistics and transportation industry | billion RMB | 39.9 | 27 | ||
| Balance of on-and off-balance-sheet credit facilities to small and medium-sized logistics enterprises | billion RMB | 17.6 | 27 | ||
| Balance of small and micro enterprise loans | RMB100 million | 2884.35 | 3409.7 | 4002.78 | 23 |
| Bank-wide loan balance in agriculture, rural areas and rural people | million RMB | 297155 | 9 | ||
| Change in NPL ratio | percentage point | -0.01 | 53 | ||
| Cumulative loans extended in online financing transaction with China Mengniu Dairy Co., Ltd. | million RMB | 61.93 | 25 | ||
| Cumulative loans extended under 'Policy Grain' online financing business | million RMB | 1357 | 25 | ||
| Financing support provided by CEB Shenzhen Branch to BYD Group | billion RMB | 8.6 | 69 | ||
| Increase in balance of on-and off-balance-sheet credit facilities to logistics and transportation industry over the beginning of the year | billion RMB | 0.2 | 27 | ||
| Increase in balance of on-and off-balance-sheet credit facilities to small and medium-sized logistics enterprises over the beginning of the year | billion RMB | 1 | 27 | ||
| Increase in bank-wide loan balance in agriculture, rural areas and rural people from beginning of year | million RMB | 36443 | 9 | ||
| Increase in credit amount for Beijing-Tianjin-Hebei Integrated Development compared to beginning of year | RMB100 million | 126 | 18 | ||
| Increase in credit amount for The Belt and Road Initiative compared to beginning of year | RMB100 million | 1352 | 18 | ||
| Increase in credit amount for Yangtze River Economic Belt compared to beginning of year | RMB100 million | 538 | 18 | ||
| Loans granted for key projects in Belt and Road, Beijing-Tianjin-Hebei, and Yangtze River Economic Belt regions | billion RMB | 570 | 9 | ||
| NPL ratio | % | 1.59 | 53 | ||
| Newly extended urbanization loans during the year | RMB billion | 40.9 | 18 | ||
| Number of corporate settlement accounts opened under 'Policy Grain' online financing business | accounts | 275 | 25 | ||
| Proportion of small and micro enterprise loans to total loans | % | 19.33 | 19.45 | 20.23 | 23 |
| Year-on-year growth rate of credit facilities to small and medium-sized logistics enterprises | % | 6 | 27 |
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 | 2013 | 2015 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Loan amount extended by CEB Shanghai Branch to Hongzhen Shanty Renovation Program | billion RMB, million RMB | 1.5 | 500 | 530 | 17 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of three-star outlets granted star rating | outlets | 25 | 40 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Cloud Payment platform daily average settlement | RMB | 240000000 | 36 | ||
| Cloud Payment platform resident transactions per minute | transactions | 989 | 36 | ||
| Completion rate of complaint handling | 100% | 43 | |||
| Effective customer complaints received | Case | 880 | 768 | 639 | 86 |
| Number of clients served in online financing transaction with China Mengniu Dairy Co., Ltd. | clients | 21 | 25 | ||
| Number of customers of small and micro enterprise loan | 172669 | 249894 | 261144 | 23 | |
| Number of customers served under 'Policy Grain' online financing business | customers | 129 | 25 | ||
| Number of effective customer complaints handled | 639 | 43 | |||
| Number of enterprise annuity customers | 5000 | 27 | |||
| Number of personal accounts in management (enterprise annuity) | 867000 | 27 | |||
| Number of transactions handled per minute by cloud payment platform | 989 | 9 | |||
| Proceeds from power generation received by Shiligou Village | RMB | 44000 | 65 | ||
| Reduction in number of effective customer complaints handled compared to previous year | 129 | 43 | |||
| Satisfaction rate of effective complaint handling | 100% | 43 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Number of banking outlets granted star rating | outlets | 101 | 40 |
| Number of branches with zero breakthroughs in First-rate Expert Teller | branches | 6 | 41 |
| Number of five-star outlets granted star rating | outlets | 39 | 40 |
| Number of four-star outlets granted star rating | outlets | 37 | 40 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Attempted unauthorized use of customers' identity certificates intercepted | cases | 756 | 39 |
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 |
|---|---|---|---|---|---|
| Capital adequacy ratio | % | 11.87 | 10.8 | 13.49 | 86 |
| Weighted average return on net assets | % | 15.5 | 13.8 | 12.75 | 86 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | Report Pages |
|---|---|---|---|
| Additional income per household from photo-voltaic power generation project in Shiligou Village | RMB | 1460 | 65 |
| Bank ranking in 'Top 1000 World Banks' by The Banker magazine | 49 | 11 | |
| Number of children in impoverished regions helped to enter schools by China Everbright Group | children | 251 | 65 |
| Number of poor families benefited by photo-voltaic power generation project in Shiligou Village | households | 40 | 65 |
| Total increase in credit amount for three national initiatives compared to beginning of year | RMB100 million | 2016 | 18 |
| Urbanization loans balance | RMB billion | 148.3 | 18 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|
| Employee volunteering service hours | hours | 3142 | 10 | ||
| Employee volunteering service occasions | occasions | 1006 | 10 | ||
| Increase in balance of agro-loans over the beginning of the year | million RMB | 36443 | 25 | ||
| Increase in standard small and micro loan balance from beginning of year | % | 17.39 | 9 | ||
| Number of employees participated in student aids and poverty alleviation actions | employees | 200+ | 65 | ||
| Number of key projects supported by loans in key regions | 1400 | 9 | |||
| Public welfare donations of the Head Office | RMB10000 | 613.11 | 633.25 | 764.29 | 86 |
| Standard small and micro loan balance | million RMB | 400278 | 9 | ||
| Total donation for student aids and poverty alleviation actions by China Everbright Group | RMB | 215600 | 65 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| NOₓ Emissions | ton |
| SOₓ Emissions | ton |
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 |
|---|---|---|
| Total GHG Emissions | tons | 63825.72 |
| Total GHG Emissions Intensity (By Area) | ton/m² | |
| Total GHG Emissions Intensity (By Employee) | ton/person |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Hazardous Waste (Used Batteries) | tons |
| Total Hazardous Waste | ton |
| Total Hazardous Waste Intensity (By Area) | ton/m² |
| Total Hazardous Waste Intensity (By Employee) | ton/person |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Non-Hazardous Waste (Office Waste) | ton |
| Total Non-Hazardous Waste Intensity (By Area) | ton/m² |
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 |
|---|---|
| Diesel Fuel Consumption | megawatt hour |
| Energy Consumption Intensity (By Area) | megawatt hour/m² |
| Energy Consumption Intensity (By Employee) | megawatt hour/person |
| Natural Gas Consumption | megawatt hour |
| Purchased Electricity | megawatt hour |
| Total Direct Energy Consumption | megawatt hour |
| Total Energy Consumption | megawatt hour |
| Total Indirect Energy Consumption | megawatt hour |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Water Consumption | ton |
| Water Consumption in Office | ton |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Total Investment in Ecological Restoration | RMB100 million | 4560 |
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 | Person | 16817 | ||
| Number of Employees Aged Above 50 | Person | 7019 | ||
| Number of Employees Aged Below 30 | Person | 20230 | ||
| Number of Female Employees | Person | 24374 | ||
| Number of Male Employees | Person | 19692 | ||
| Number of Total Employees | Person | 40319 | 42250 | 44066 |
| Percentage of Female Employees | % | 55.17 | 55.52 | 55.31 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Turnover Rate of Employees Aged Below 30 | % | 6.25 |
| Turnover Rate of Total Employees | % | 5.43 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2017 |
|---|---|---|
| Number of People Receiving Training on Work Safety | persons | 31875 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Total Cost of Training | RMB |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Complaint Growth Rate | % | -12.73 | -16.8 | |
| Complaints Handling Rate | % | 100 | ||
| Number of Complaints Dealt with | Case | 639 | ||
| Satisfaction Rate of Customer Complaint Handling | % | 100 | ||
| Total Number of Customer Complaints | Case | 880 | 768 | 639 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2015 | 2016 | 2017 |
|---|---|---|---|---|
| Number of Employees Participating in Volunteer Activities | employees | 200 | ||
| Number of Volunteer Activities Sessions | occasions | 1006 | ||
| Total Public Welfare Donations | RMB 10000 | 613.11 | 633.25 | 764.29 |
| Total Volunteer Service Hours | hours | 3142 |