China Merchants Bank Corporate Social Responsibility Report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Carbon dioxide emission reduction through green loans | ten thousand tons | 1944.35 | 11 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Paper saved by using e-bills (100 million pieces) | 100 million pieces | 11.85 | 15.48 | 17.91 | 10, 126 |
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 |
|---|---|---|---|---|---|
| Electricity consumption of datacenters (kilowatt-hour) | kilowatt-hour | 23274400 | 30353600 | 33568314 | 126 |
| Electricity consumption of the Head Office (kilowatt-hour) | kilowatt-hour | 13422238 | 13367140 | 16008120 | 126 |
| Head Office electricity consumption (kilowatt-hour) | kilowatt-hour | 13422238 | 13367140 | 16008120 | 10 |
| Head Office vehicles gasoline consumption for business (liters) | liters | 141698 | 125852 | 121944 | 127 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Head Office water consumption (tons) | tons | 103626 | 97998 | 105304 | 10, 127 |
| Water saved by the Head Office (tons) | tons | 18508 | 5628 | -7306 | 127 |
| Water savings through green loans | ten thousand tons | 1117.61 | 11 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Average PUE of datacenters | 1.74 | 1.72 | 1.65 | 126 | |
| Average power use efficiency (PUE) of data centers | 1.74 | 1.72 | 1.65 | 10 | |
| Electricity saved by the Head | 52156 | 55098 | -2640980 | 126 | |
| Standard coal savings through green loans | ten thousand tons | 815.02 | 11 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Amount of paper used for new card brochures and envelopes (ten thousand pieces) | ten thousand pieces | 1876 | 2030 | 2413 | 126 |
| Reduction in paper consumption in the Head Office | tons | 2.5 | 125 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employee number (Including contractors) | 79866 | 82241 | 84683 | 129 | |
| Employees in HK, Macau and Taiwan | 2098 | 2283 | 2416 | 130 | |
| Expatriate employees | 53 | 44 | 39 | 129 | |
| Number of employees | 79866 | 82241 | 84683 | 11 | |
| Number of employees aged above 50 | 1856 | 2440 | 2834 | 129 | |
| Number of employees aged below 30 | 36869 | 36469 | 35159 | 129 | |
| Number of employees aged between 31 and 50 | 35389 | 38155 | 41289 | 129 | |
| Number of employees in mainland China (permanent employees and contractors) | 77599 | 79586 | 81957 | 129 | |
| Number of employees with employment contracts | 77064 | 79282 | 129 | ||
| Number of ethnic minority employees | 3164 | 3292 | 133 | ||
| Number of female workers | 42484 | 44102 | 45443 | 129 | |
| Number of male workers | 32962 | 33839 | 129 | ||
| Number of new hires | 9347 | 10366 | 8751 | 129 | |
| Return on Average Assets Attributable to Shareholders (ROAA) (%) | % | 1.15 | 1.24 | 1.31 | 122 |
| Return on Average Equity Attributable to Shareholders (ROAE) (%) | % | 16.54 | 16.57 | 16.84 | 122 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate (%) | % | 8.18 | 8.73 | 7.71 | 11, 130 |
| Female employee turnover rate (%) | % | 7.62 | 8.21 | 7.08 | 130 |
| Male employee turnover rate (%) | % | 8.93 | 9.4 | 8.54 | 130 |
| Turnover rate of employees aged above 50 (%) | % | 3.41 | 3.02 | 2.04 | 130 |
| Turnover rate of employees aged below 30 (%) | % | 9.98 | 11.43 | 10.7 | 130 |
| Turnover rate of employees aged between 31 and 50 (%) | % | 6.51 | 6.34 | 5.39 | 130 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of employees participating in online studies (ten thousand) | ten thousand | 579 | 491 | 420.3 | 11 |
| Number of employees participating in training | employees | 71066 | 6 | ||
| Number of employees who accept trainings | 72374 | 74559 | 71066 | 131 | |
| Number of employees’ participations in online study | ten thousand | 579 | 491 | 420.3 | 131 |
| Number of employees’ participations in trainings | ten thousand | 49 | 59.8 | 59.4 | 131 |
| Number of training rounds | 9626 | 12016 | 11898 | 131 | |
| Number of training sessions organized for employees | sessions | 11898 | 6 | ||
| Percentage of female employees participating in training | % | 94 | 131 | ||
| Percentage of male employees participating in training | % | 94 | 131 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Per-capita learning time | hours | 125 | 125 | 98.9 | 131 |
| Per-capita learning time (hours) | hours | 125 | 125 | 98.9 | 11 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Budget of centralized procurement projects | RMB 100 million | 16.19 | 57.48 | 35.38 | 124 |
| Decrease in NPL balance compared with beginning of year | billion RMB | 1.33 | 6 | ||
| Decrease in NPL ratio compared with beginning of year | percentage points | 0.2 | 6 | ||
| Number of Domestic Self-Service Banks | 3340 | 3259 | 3014 | 123 | |
| Number of Domestic and Overseas Branches | 1869 | 1864 | 1874 | 123 | |
| Number of Self-Service Equipment | 11382 | 10316 | 8768 | 123 | |
| Number of centralized procurement projects | 269 | 334 | 259 | 124 | |
| Number of contractors | 5177 | 5401 | 129 | ||
| Overseas suppliers | 5 | 124 | |||
| Suppliers at mainland China | 308 | 271 | 311 | 124 | |
| Total assets (RMB million) | RMB million | 6297638 | 6745729 | 7417240 | 10, 122 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Average cycle of centralized procurement projects | days | 25 | 26 | 27 | 124 |
| Average cycle of fintech projects (days) | days | 12 | 16 | 125 | |
| Number of outlets providing 'Pay with Face' self-service equipment | 821 | 1075 | 1268 | 128 | |
| Ratio of centralized procurement projects that received assistance for ensuring fulfillment of obligations (%) | % | 100 | 100 | 100 | 125 |
| Ratio of suppliers that were inspected (%) | % | 100 | 100 | 100 | 125 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of retail customers (ten thousand) | ten thousand | 10663 | 12541.44 | 14354.36 | 10 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| 95555 Customer satisfaction (%) | % | 99.68 | 99.69 | 98.02 | 135 |
| 95555 Service satisfaction (%) | % | 99.85 | 99.87 | 99.84 | 135 |
| 95555 hotline customer satisfaction (%) | % | 99.68 | 99.69 | 98.02 | 10 |
| Average respond time | second | 2.94 | 2.38 | 4.12 | 135 |
| CMB APP downloads | million customers | 113.53 | 6 | ||
| Mobile banking transaction volume (RMB 100 million) | RMB 100 million | 178675 | 307561 | 331988 | 10 |
| Nonperforming loan (NPL) balance | billion RMB | 52.275 | 6 | ||
| Nonperforming loan (NPL) ratio | % | 1.16 | 6 | ||
| Nonperforming loan ratio (%) | % | 1.61 | 1.36 | 1.16 | 122 |
| Number of customer praises | 33272 | 31073 | 47423 | 135 | |
| Number of fintech projects | 287 | 359 | 125 | ||
| Number of orders placed through the CMB Cloud Procurement Platform | 64000 | 202396 | 125 | ||
| Quantity of customer complaints handled | 85380 | 83863 | 82722 | 135 | |
| Quantity of manual remote banking services | ten thousand | 10238 | 7016 | 6774 | 135 |
| Quantity of services provided by an online interactive robot | ten thousand | 3275 | 7374 | 9943 | 135 |
| Ratio of credit card customers using e-bills (%) | % | 95.94 | 97.74 | 99.7 | 126 |
| Ratio of digital transactions (%) | % | 98.24 | 98.24 | 98.25 | 10 |
| Total profit (RMB million) | RMB million | 90680 | 106497 | 117132 | 122 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Budget of fintech projects | RMB 100 million | 4.77 | 9.82 | 125 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of cities where 'Pay with Face' service is available | 108 | 108 | 108 | 128 | |
| Ratio of transactions that go digital (%) | % | 98.24 | 98.24 | 98.25 | 128 |
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 |
|---|---|---|---|---|---|
| Allowance coverage ratio of non-performing loans (%) | % | 262.11 | 358.18 | 426.78 | 122 |
| Capital adequacy ratio (%) | % | 15.48 | 15.68 | 15.54 | 122 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of meetings held in the Head Office | 5400 | 125 | |||
| Number of pre-appointment integrity talks with managers | 2346 | 2410 | 2194 | 134 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of managers’ briefings on anti-corruption efforts | 3118 | 3953 | 5310 | 134 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Green loan balance (RMB 100 million) | RMB 100 million | 1571.03 | 1660.33 | 1767.73 | 11 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Financial assistance for poverty alleviation in Wuding and Yongren counties | million RMB | 51.4228 | 6 | ||
| Targeted poverty alleviation funds donated to Yongren County and Wuding County (RMB ten thousand) | RMB ten thousand | 1141.96 | 1179.38 | 5142.28 | 11 |
| Total amount of charitable donations (RMB ten thousand) | RMB ten thousand | 2628.32 | 3566 | 8541.77 | 11, 122 |
| Total taxes (RMB 100 million) | RMB 100 million | 221.94 | 278.1 | 260.57 | 122 |
| Value of social contribution per share (RMB) | RMB | 9.08 | 10.44 | 11.45 | 11, 122 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | ten thousand tons | 1944.35 |
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 |
|---|---|---|---|---|
| Gasoline Consumption | liters | 141698 | 125852 | 121944 |
| Grid Electricity Consumption | kilowatt-hour | 36674840 | 43720740 | 49576434 |
| Purchased Electricity | kilowatt-hour | 36674840 | 43720740 | 49576434 |
| Total Direct Energy Consumption | liters | 141698 | 125852 | 121944 |
| Total Energy Consumption | kilowatt-hour | 36816538 | 43720740 | 49576434 |
| Total Indirect Energy Consumption | kilowatt-hour | 36674840 | 43720740 | 49576434 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption in Office | tons | 103626 | 97998 | 105304 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Electricity Usage Reduction Compared to Last Year | 52156 | 55098 | -2640980 | |
| Energy Consumption Reduction Compared to Last Year | ten thousand tons | 815.02 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Packaging Material Consumption (Paper) | pieces | 18760000 | 20300000 | 24130000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | 35389 | 38155 | 41289 | |
| Number of Employees Aged Above 50 | 1856 | 2440 | 2834 | |
| Number of Employees Aged Below 30 | 36869 | 36469 | 35159 | |
| Number of Employees in Hong Kong | 2098 | 2283 | 2416 | |
| Number of Employees in Hong Kong and Mainland China | 79697 | 81869 | 84373 | |
| Number of Employees in Mainland China | 77599 | 79586 | 81957 | |
| Number of Female Employees | 44102 | 45443 | ||
| Number of Male Employees | 32962 | 33839 | ||
| Number of New Employees | 9347 | 10366 | 8751 | |
| Number of Total Employees | 79866 | 82241 | 84683 | |
| Percentage of Employees Aged 30-50 | % | 44.3104700373125 | 46.39413431256916 | 48.757129530130015 |
| Percentage of Employees Aged Above 50 | % | 2.3238925199709515 | 2.9668899940419013 | 3.346598490842318 |
| Percentage of Employees Aged Below 30 | % | 46.16357398642727 | 44.34406196422709 | 41.51836850371385 |
| Percentage of Female Employees | % | 57.32 | 53.62532070378522 | 53.66248243449099 |
| Percentage of Male Employees | % | 42.68 | 40.07976556705293 | 39.9596140901952 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 6.51 | 6.34 | 5.39 |
| Turnover Rate of Employees Aged Above 50 | % | 3.41 | 3.02 | 2.04 |
| Turnover Rate of Employees Aged Below 30 | % | 9.98 | 11.43 | 10.7 |
| Turnover Rate of Female Employees | % | 7.62 | 8.21 | 7.08 |
| Turnover Rate of Male Employees | % | 8.93 | 9.4 | 8.54 |
| Turnover Rate of Total Employees | % | 8.18 | 8.73 | 7.71 |
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 | % | 94 |
| Percentage of Trained General Employees | % | |
| Percentage of Trained Male Employees | % | 94 |
| Percentage of Trained Middle Management | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | |||
| Average Training Hours (General Staff) | hours | |||
| Average Training Hours (Male) | hours | |||
| Average Training Hours (Middle Management) | hours | |||
| Average Training Hours per Employee | hours | 125 | 125 | 98.9 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 308 | 271 | 311 | |
| Number of Suppliers in Overseas | 5 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Complaints Dealt with | 85380 | 83863 | 82722 | |
| Total Number of Customer Complaints | 85380 | 83863 | 82722 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Directors and Management Attendance for Anti-corruption Training | person-times | 3118 | 3953 | 5310 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB ten thousand | 1141.96 | 1179.38 | 5142.28 |
| Total Public Welfare Donations | RMB ten thousand | 2628.32 | 3566 | 8541.77 |