China Merchants Bank Corporate Social Responsibility Report 2018
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 | 2018 | Report Pages |
|---|---|---|---|
| Water savings and carbon emission reduction achieved through green loans: Carbon dioxide | ten thousand tons | 935.03 | 8 |
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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Paper saved by using e-bills | 100 million pieces | 8.78 | 11.85 | 15.48 | 93 |
| Paper saved by using e-bills (100 million pieces) | 100 million pieces | 8.78 | 11.85 | 15.48 | 8 |
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 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption of datacenters | kilowatt-hour | 23274400 | 22508400 | 30353600 | 93 |
| Electricity consumption of the Head Office | kilowatt-hour | 13474394 | 13422238 | 13367140 | 93 |
| Head Office electricity consumption (kilowatt-hour) | kilowatt-hour | 13474394 | 13422238 | 13367140 | 8 |
| Head Office vehicles gasoline consumption for business | liters | 144721 | 141698 | 125852.17 | 93 |
| Water savings and carbon emission reduction achieved through green loans: Standard coal | ten thousand tons | 421.57 | 8 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Head Office water consumption (tons) | tons | 122134 | 103626 | 97998 | 8, 94 |
| Water saved by the Head Office (tons) | tons | -4545 | 18508 | 5628 | 94 |
| Water savings and carbon emission reduction achieved through green loans: Water | ten thousand tons | 667.68 | 8 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Average PUE of datacenters | 1.76 | 1.74 | 1.72 | 93 | |
| Average power use efficiency (PUE) of data centers | 1.76 | 1.74 | 1.72 | 8 | |
| Electricity saved by the Head Office | kilowatt-hour | 38464 | 52156 | 55098 | 93 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Amount of paper used for new card brochures and envelopes | ten thousand pieces | 2187 | 1876 | 2030 | 93 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Employee number (including contractors) | 70461 | 72530 | 74590 | 95 | |
| Holiday coverage in all institutions of the Bank | % | 60 | 95 | ||
| Number of employees | 70461 | 72530 | 74590 | 8 | |
| Number of employees aged above 50 | 1424 | 1573 | 2133 | 95 | |
| Number of employees aged below 30 | 34938 | 33962 | 33401 | 95 | |
| Number of employees aged between 31 and 50 | 29142 | 31920 | 34453 | 95 | |
| Number of employees with employment contracts | 65504 | 67455 | 69987 | 95 | |
| Number of ethnic minority employees | 2732 | 2896 | 3020 | 96 | |
| Number of female workers | 37879 | 38939 | 40427 | 95 | |
| Number of male workers | 27625 | 28516 | 29560 | 95 | |
| Number of new hires | 9178 | 7026 | 7096 | 95 | |
| Overall holiday coverage in the Bank | % | 74.98 | 95 | ||
| Return on Average Assets Attributable to Shareholders (ROAA) (%) | % | 1.09 | 1.15 | 1.24 | 91 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate | % | 6.7 | 6.69 | 6.29 | 95 |
| Employee turnover rate (%) | % | 6.7 | 6.69 | 6.29 | 8 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Number of 'Best Micro Classes' selected in 'top 100 among 1000 classes for 1000 employees' series | micro classes | 100 | 78 | ||
| Number of employees from branches and departments who attended 'top 10 among 100 classes for 100 employees' series | employees | 100 | 78 | ||
| Number of employees participating in online studies (ten thousand) | ten thousand | 290 | 579 | 491 | 8 |
| Number of employees signed up for 'top 100 among 1000 classes for 1000 employees' series | employees | 2525 | 78 | ||
| Number of employees who accept trainings | 73005 | 72374 | 74559 | 96 | |
| Number of employees who earned the title of 'Golden Lecturer for 2018' | employees | 10 | 78 | ||
| Number of employees’ participations in online study (ten thousand) | ten thousand | 290 | 579 | 491 | 96 |
| Number of employees’ participations in trainings (ten thousand) | ten thousand | 35.7 | 49 | 59.8 | 96 |
| Number of excellent micro classes selected in 'top 100 among 1000 classes for 1000 employees' series | micro classes | 1000 | 78 | ||
| Number of practice cases prepared for 'top 10 among 100 classes for 100 employees' series | cases | 100 | 78 | ||
| Number of training rounds | 7165 | 9626 | 12016 | 96 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Number of classes named 'Best Practice Cases for 2018' | classes | 31 | 78 | ||
| Per-capita learning time (hours) | hours | 61.5 | 125 | 125 | 8, 96 |
Number of suppliers by geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Budget of centralized procurement projects | RMB 100 million | 21.8 | 16.19 | 57.48 | 92 |
| Number of Domestic and Overseas Branches | 1819 | 1830 | 1822 | 92 | |
| Number of Overseas suppliers | 3 | 5 | 92 | ||
| Number of Self-Service Equipment | 11861 | 11382 | 10316 | 92 | |
| Number of Suppliers at mainland China | 315 | 308 | 271 | 92 | |
| Number of centralized procurement projects | 247 | 269 | 334 | 92 | |
| Number of contractors | 4957 | 5057 | 4603 | 95 | |
| Total assets (RMB million) | RMB million | 5942311 | 6297638 | 6745729 | 8, 91 |
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 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Average cycle of centralized procurement projects | days | 26 | 25 | 26 | 92 |
| Average cycle of fintech projects | days | 12 | 93 | ||
| Number of outlets providing “Pay with Face” self-service equipment | 816 | 821 | 1075 | 94 | |
| Ratio of centralized procurement projects that received assistance for ensuring fulfillment of obligations | % | 91 | 100 | 100 | 92 |
| Ratio of suppliers that were inspected | % | 100 | 100 | 100 | 92 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Number of retail customers (ten thousand) | ten thousand | 9106 | 10663 | 12541 | 8 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| 95555 Customer satisfaction (%) | % | 99.63 | 99.68 | 99.69 | 97 |
| 95555 Service satisfaction (%) | % | 99.84 | 99.85 | 99.87 | 97 |
| 95555 hotline customer satisfaction (%) | % | 99.63 | 99.68 | 99.69 | 8 |
| Average respond time | second | 3.42 | 2.94 | 2.38 | 97 |
| Mobile banking transaction volume (RMB 100 million) | RMB 100 million | 121036 | 178675 | 307561 | 8 |
| Nonperforming loan ratio (%) | % | 1.87 | 1.61 | 1.36 | 91 |
| Number of Self-Service Banks | 3495 | 3340 | 3259 | 92 | |
| Number of customer praises | 31497 | 33272 | 31073 | 97 | |
| Number of fintech projects | 287 | 93 | |||
| Number of orders placed through the CMB Cloud Procurement Platform | 64000 | 93 | |||
| Quantity of manual remote banking services | ten thousand | 9063 | 10238 | 11175 | 97 |
| Quantity of services provided by an online interactive robot | ten thousand | 3274.57 | 3275.32 | 7972 | 97 |
| Ratio of credit card customers using e-bills | % | 93.35 | 95.94 | 97.74 | 93 |
| Total profit (RMB million) | RMB million | 78963 | 90680 | 106497 | 91 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Budget of fintech projects | RMB 100 million | 4.77 | 93 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Number of cities where “Pay with Face” service is available | 107 | 108 | 108 | 94 | |
| Ratio of transactions that go digital (%) | % | 97.51 | 98.24 | 98.24 | 8, 94 |
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 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Allowance coverage ratio of non-performing loans (%) | % | 180.02 | 262.11 | 358.18 | 91 |
| Capital adequacy ratio (%) | % | 13.33 | 15.48 | 15.68 | 91 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Number of pre-appointment integrity talks with managers | 2339 | 2346 | 2410 | 97 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Number of managers’ briefings on anti-corruption efforts | 2835 | 3118 | 3953 | 97 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Green loan balance (RMB 100 million) | RMB 100 million | 1436.64 | 1571.03 | 1660.33 | 8 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Social contribution amount per share (RMB) | RMB | 7.98 | 9.08 | 10.44 | 91 |
| Targeted poverty alleviation funds donated to Yongren County and Wuding County (RMB ten thousand) | RMB ten thousand | 1092.68 | 1141.96 | 1179.38 | 8 |
| Total amount of charitable donations (RMB ten thousand) | RMB ten thousand | 2457.1 | 2628.32 | 3566 | 8 |
| Total charitable donations (RMB 10000) | RMB 10000 | 2457.1 | 2628.32 | 3566 | 91 |
| Total taxes (RMB 100 million) | RMB 100 million | 229.45 | 221.94 | 278.1 | 91 |
| Value of social contribution per share (RMB) | RMB | 7.98 | 9.08 | 10.44 | 8 |
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 | 2018 |
|---|---|---|
| Total GHG Emissions | tons CO2 | 9350300 |
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 | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Gasoline Consumption | liters | 144721 | 141698 | 125852.17 |
| Purchased Electricity | kilowatt-hour | 23274400 | 22508400 | 13367140 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Water Consumption in Office | tons | 122134 | 103626 | 97998 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Office Electricity Consumption Reduction Compared to Last Year | kilowatt-hour | 13692 | 2942 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Packaging Material Consumption (Paper) | ten thousand pieces | 2187 | 1876 | 2030 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | 29142 | 31920 | 34453 | |
| Number of Employees Aged Above 50 | 1424 | 1573 | 2133 | |
| Number of Employees Aged Below 30 | 34938 | 33962 | 33401 | |
| Number of Female Employees | 37879 | 38939 | 40427 | |
| Number of Male Employees | 27625 | 28516 | 29560 | |
| Number of New Employees | 9178 | 7026 | 7096 | |
| Number of Total Employees | 70461 | 72530 | 74590 | |
| Percentage of Female Employees | % | 57.76 | 53.71 | 54.22 |
| Percentage of Male Employees | % | 42.24 | 39.33 | 39.65 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Turnover Rate of Total Employees | % | 6.7 | 6.69 | 6.29 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Average Training Hours per Employee | hours | 61.5 | 125 | 125 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 315 | 308 | 271 | |
| Number of Suppliers in Overseas | 3 | 5 |
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 |
|---|---|
| Number of Confirmed Incidents of Corruption |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Anti-corruption Policies have been Communicated to | % |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Number of Directors and Management Attendance for Anti-corruption Training | person-times | 2835 | 3118 | 3953 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2016 | 2017 | 2018 |
|---|---|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB ten thousand | 1092.68 | 1141.96 | 1179.38 |
| Total Public Welfare Donations | RMB ten thousand | 2457.1 | 2628.32 | 3566 |