China Merchants Bank Sustainability Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Ammonia-Nitrogen reduced by green loan projects (ten thousand tons) | ten thousand tons | 16.61 | 3.68 | 7.14 | 116 |
| Balance of loans made to sectors with overcapacity and high energy consumption and pollution (RMB 100 million) | RMB 100 million | 1060.69 | 1007.01 | 913.21 | 116 |
| Balance of loans made to sectors with overcapacity and high energy consumption and pollution as a percentage of total loans (%) | % | 7.6 | 7.03 | 6.37 | 116 |
| Nitrogen oxide reduced by green loan projects (ten thousand tons) | ten thousand tons | 2.96 | 1 | 0.49 | 116 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Direct greenhouse gas emissions (Scope 1) of the Head Office | tons of CO2 equivalent | 1393.71 | 48 | ||
| Direct greenhouse gas emissions of Head Office (Scope 1) (tons of CO2 equivalent) | tons of CO2 equivalent | 1501.01 | 1621.74 | 1393.71 | 118 |
| Indirect greenhouse gas emissions (Scope 2) of the Head Office | tons of CO2 equivalent | 8198.98 | 48 | ||
| Indirect greenhouse gas emissions of Head Office (Scope 2) (tons of CO2 equivalent) | tons of CO2 equivalent | 7045.82 | 8437.88 | 8198.98 | 118 |
| Total greenhouse gas emission of Head Office (Scope 1 + Scope 2) (tons of CO2 equivalent) | tons of CO2 equivalent | 8546.83 | 10059.62 | 9592.69 | 10 |
| Total greenhouse gas emission of Head Office (tons of CO2 equivalent) | tons of CO2 equivalent | 8546.83 | 10059.62 | 9592.69 | 118 |
| Total greenhouse gas emission of the Head Office | tons of CO2 equivalent | 9592.69 | 48 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Weight of paper used for card brochures and envelopes (kilograms) | kilograms | 73180 | 117 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Carbon Dioxide emission reduced by green loan projects (ten thousand tons) | ten thousand tons | 935.03 | 1944.35 | 2185.8 | 116 |
| Carbon dioxide emission reduction achieved through green loans | ten thousand tons | 2185.8 | 10 | ||
| Chemical Oxygen Demand reduced by green loan projects (ten thousand tons) | ten thousand tons | 67.72 | 48.7 | 63.72 | 116 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Paper saved by using e-bills (100 million pieces) | 100 million pieces | 15.48 | 17.91 | 19.04 | 10, 117 |
| Sulfur Dioxide emission reduced by green loan projects (ten thousand tons) | ten thousand tons | 9.28 | 3.93 | 4.48 | 116 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Balances of loans made to energy-saving and green buildings (RMB 100 million) | RMB 100 million | 26.16 | 30.86 | 66.95 | 116 |
| Balances of loans made to industrial energy-saving, water-saving and eco-friendly projects (RMB 100 million) | RMB 100 million | 54.37 | 39.34 | 82.27 | 116 |
| Head Office consumption of externally-acquired electricity (kilowatt-hour) | kilowatt-hour | 13367140 | 16008120 | 15554880 | 118 |
| Head Office natural gas consumption (cubic meters) | cubic meters | 536608 | 597342 | 521400 | 118 |
| Head Office vehicles gasoline consumption (tons) | tons | 125852.17 | 121943.56 | 98370.28 | 118 |
| PUE of datacenters | 1.72 | 1.65 | 1.62 | 118 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Goal for 2021 | Report Pages |
|---|---|---|---|---|---|---|
| Head Office water consumption (tons) | tons | 97998 | 105304 | 92918 | 92000 | 118 |
| Water saved/emission reduced by green loan projects (ten thousand tons) | ten thousand tons | 667.68 | 1117.61 | 893.65 | 116 | |
| Water savings achieved through green loans | ten thousand tons | 893.65 | 10 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of supported energy-saving and eco-friendly projects | 47 | 50 | 69 | 116 | |
| Power usage effectiveness (PUE) of data centers | 1.72 | 1.65 | 1.62 | 10 | |
| Standard Coal saved by green loan projects (ten thousand tons) | ten thousand tons | 421.57 | 815.02 | 975.22 | 116 |
| Standard coal savings achieved through green loans | ten thousand tons | 975.22 | 10 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Amount of paper used for new card brochures and envelopes (ten thousand pieces) | ten thousand pieces | 2030 | 2413 | 2190 | 117 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Employee number | 82241 | 84683 | 90867 | 111 | |
| Employees in HK, Macau and Taiwan | 2283 | 2416 | 2452 | 111 | |
| Expatriate employees | 44 | 39 | 33 | 111 | |
| New hires in campus recruitment | 4392 | 112 | |||
| New hires in social recruitment | 4680 | 112 | |||
| Number of employees aged above 50 | 2440 | 2834 | 2734 | 111 | |
| Number of employees aged below 30 | 36469 | 35159 | 35858 | 111 | |
| Number of employees aged between 31 and 50 | 38155 | 41289 | 47291 | 111 | |
| Number of employees in mainland China | 79586 | 81957 | 88069 | 111 | |
| Number of ethnic minority employees | 3164 | 3292 | 3586 | 112 | |
| Number of female employees | 44102 | 45443 | 47748 | 111 | |
| Number of female permanent employees that have signed labor contracts with CMB | 44102 | 45443 | 47748 | 10 | |
| Number of male employees | 32962 | 33839 | 38135 | 111 | |
| Number of new hires | 9072 | 111 | |||
| Number of permanent employees that have signed labor contracts with CMB | 77064 | 79282 | 85883 | 10 | |
| Percentage of female employees | % | 57.32 | 55.6 | 112 | |
| Percentage of females among middle and senior managers | % | 21 | 21 | 112 | |
| Percentage of male employees | % | 42.68 | 44.4 | 112 | |
| Percentage of males among middle and senior managers | % | 79 | 79 | 112 | |
| Permanent employees that have signed labor contracts with CMB | 77064 | 79282 | 85883 | 111 | |
| Return on Average Assets Attributable to Shareholders (ROAA) (%) | % | 1.24 | 1.31 | 1.23 | 106 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate (%) | % | 8.73 | 7.71 | 7.24 | 112 |
| Female employee turnover rate (%) | % | 8.21 | 7.08 | 6.35 | 112 |
| Male employee turnover rate (%) | % | 9.4 | 8.54 | 8.33 | 112 |
| Permanent employee turnover rate (%) | % | 8.73 | 7.71 | 7.24 | 10 |
| Turnover rate of employees aged above 50 (%) | % | 3.02 | 2.04 | 3.73 | 112 |
| Turnover rate of employees aged below 30 (%) | % | 11.43 | 10.7 | 9.54 | 112 |
| Turnover rate of employees aged between 31 and 50 (%) | % | 6.34 | 5.39 | 5.62 | 112 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of employee participations in online study (ten thousand) | ten thousand | 491 | 420.3 | 3103 | 114 |
| Number of employees participating in online studies (ten thousand) | ten thousand | 491 | 420.3 | 3103 | 10 |
| Number of employees participating in training (ten thousand) | ten thousand | 59.8 | 59.4 | 45.4 | 114 |
| Number of employees who accept training | 74559 | 71066 | 75244 | 114 | |
| Number of managers trained in programs under the CMB University Brand | 252 | 1338 | 324 | 114 | |
| Number of new employees participating in orientation training organized under the CMB University Brand | 758 | 590 | 1401 | 114 | |
| Number of personalized training plans offered under the CMB University Brand | 5 | 5 | 114 | ||
| Number of training rounds | 12016 | 11898 | 7452 | 114 | |
| Percentage of employees who accepted training (%) | % | 99 | 114 | ||
| Percentage of female employees who accepted training (%) | % | 94 | 99 | 114 | |
| Percentage of grassroots employees who accepted training (%) | % | 94 | 99 | 114 | |
| Percentage of male employees who accepted training (%) | % | 94 | 99 | 114 | |
| Percentage of middle-level managers who accepted training (%) | % | 71 | 100 | 114 | |
| Percentage of senior managers who accepted training (%) | % | 100 | 114 | ||
| Rounds of leadership training programs organized under the CMB University Brand | 5 | 10 | 9 | 114 | |
| Rounds of trainings for new employees under the CMB University Brand | 10 | 5 | 8 | 114 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average learning time of female employees (hours) | hours | 101 | 84.37 | 114 | |
| Average learning time of grassroots employees (hours) | hours | 99.2 | 84.8 | 114 | |
| Average learning time of male employees (hours) | hours | 95.9 | 85.44 | 114 | |
| Average learning time of middle-level managers (hours) | hours | 47.3 | 135.1 | 114 | |
| Per-capita learning time (hours) | hours | 125 | 98.9 | 85.11 | 114 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Balance of loans made to energy-saving and eco-friendly projects (RMB 100 million) | RMB 100 million | 52.42 | 39.34 | 82.27 | 116 |
| Balances of loans made to eco-friendly transportation projects (RMB 100 million) | RMB 100 million | 548.66 | 802.89 | 876.91 | 116 |
| Budget of centralized procurement projects | RMB 100 million | 57.48 | 35.38 | 33.61 | 110 |
| Contractors | 5177 | 5401 | 4984 | 111 | |
| Number of Domestic Self-Service Banks | 3259 | 3014 | 2944 | 115 | |
| Number of Domestic and Overseas Branches | 1822 | 1874 | 1918 | 115 | |
| Number of Self-Service Equipment | 10316 | 8768 | 7751 | 115 | |
| Number of Suppliers at mainland China | 271 | 311 | 416 | 110 | |
| Number of Suppliers in overseas regions, HK and Macau | 4 | 110 | |||
| Number of Suppliers included in supplier database | 12019 | 15618 | 20874 | 110 | |
| Number of centralized procurement projects | 334 | 259 | 384 | 110 | |
| Number of suppliers for centralized procurement projects | 271 | 311 | 420 | 110 | |
| Total assets (RMB million) | RMB million | 6745729 | 7417240 | 8361448 | 10, 106 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Average cycle of centralized procurement projects | days | 26 | 27 | 27 | 110 |
| Green loan balance increase compared to prior year (RMB 100 million) | RMB 100 million | 89.3 | 107.4 | 303.6 | 116 |
| Ratio of centralized procurement projects that received assistance for ensuring fulfillment of obligations | % | 100 | 100 | 100 | 110 |
| Ratio of suppliers that were inspected | % | 100 | 100 | 100 | 110 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of retail customers (100 million) | 100 million | 1.25 | 1.44 | 1.58 | 10 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| 95555 Customer satisfaction (%) | % | 99.87 | 99.84 | 99.46 | 115 |
| 95555 Service satisfaction (%) | % | 99.69 | 98.02 | 98.03 | 115 |
| 95555 hotline customer satisfaction (%) | % | 99.69 | 98.02 | 98.03 | 10 |
| Average response time (seconds) | seconds | 2.39 | 4.12 | 3.09 | 115 |
| CMB App transaction volume (RMB 1 trillion) | RMB 1 trillion | 30.76 | 33.2 | 40.91 | 10 |
| Credit card-related complaints as percentage of all complaints | % | 63 | 64 | ||
| Customer complaint rate (covering customer complaints, advice for rationalization and feedbacks) | % | 0.31 | 64 | ||
| Customer complaint volume in Beijing | complaints | 405 | 64 | ||
| Customer complaint volume in Chongqing | complaints | 117 | 64 | ||
| Customer complaint volume in Guangdong | complaints | 471 | 64 | ||
| Customer complaint volume in Guangxi | complaints | 20 | 64 | ||
| Customer complaint volume in Guizhou | complaints | 7 | 64 | ||
| Customer complaint volume in Hainan | complaints | 5 | 64 | ||
| Customer complaint volume in Hebei | complaints | 21 | 64 | ||
| Customer complaint volume in Inner Mongolia | complaints | 22 | 64 | ||
| Customer complaint volume in Jilin | complaints | 14 | 64 | ||
| Customer complaint volume in Liaoning | complaints | 152 | 64 | ||
| Customer complaint volume in Shanxi | complaints | 52 | 64 | ||
| Customer complaint volume in Sichuan | complaints | 123 | 64 | ||
| Customer complaint volume in Tianjin | complaints | 127 | 64 | ||
| Customer complaint volume in Yunnan | complaints | 70 | 64 | ||
| Debit card-related complaints as percentage of all complaints | % | 37 | 64 | ||
| Nonperforming loan ratio (%) | % | 1.36 | 1.16 | 1.07 | 106 |
| Number of customer praise instances | 31073 | 47423 | 56042 | 115 | |
| Number of customer recognitions obtained | 31073 | 47423 | 56042 | 10 | |
| Number of orders placed through the CMB Cloud Procurement Platform | 64000 | 202396 | 280000 | 110 | |
| Quantity of manual remote banking services (ten thousand) | ten thousand | 7016 | 6774 | 6178 | 115 |
| Quantity of services provided by an online interactive robots (in ten thousand) | ten thousand | 7374 | 9943 | 10622 | 115 |
| Ratio of credit card customers using e-bills (%) | % | 97.74 | 99.7 | 99.63 | 117 |
| Total number of customer complaints received | complaints | 27992 | 64 | ||
| Total profit (RMB million) | RMB million | 106497 | 117132 | 122440 | 106 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Allowance coverage ratio of non-performing loans (%) | % | 358.18 | 426.78 | 437.68 | 106 |
| Capital adequacy ratio (%) | % | 15.68 | 15.54 | 16.54 | 106 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Green loan balance (RMB 100 million) | RMB 100 million | 1660.33 | 1767.73 | 2071.33 | 10, 116 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total amount of charitable donations (RMB 100 million) | RMB 100 million | 0.36 | 0.85 | 2.88 | 10, 115 |
| Total financial assistance provided to Yongren and Wuding Counties (RMB 100 million) | RMB 100 million | 1.17 | 1.69 | 2.13 | 10, 115 |
| Total taxes (RMB 100 million) | RMB 100 million | 599.5 | 508.65 | 549.95 | 106 |
| Value of social contribution per share (RMB) | RMB | 11.7 | 12.4 | 13.1 | 10, 115 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| NOâ‚“ Emissions | ten thousand tons | 2.96 | 1 | 0.49 |
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 | 2019 | 2020 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons of CO2 equivalent | 1501.01 | 1621.74 | 1393.71 |
| Indirect Energy Emissions (Scope 2) | tons of CO2 equivalent | 7045.82 | 8437.88 | 8198.98 |
| Total GHG Emissions | tons of CO2 equivalent | 8546.83 | 10059.62 | 9592.69 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Paper Waste | kilograms | 73180 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | ten thousand tons | 935.03 | 1944.35 | 2185.8 |
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).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Gasoline Consumption | tons | 125852.17 | 121943.56 | 98370.28 |
| Grid Electricity Consumption | kilowatt-hour | 13367140 | 16008120 | 15554880 |
| Natural Gas Consumption | cubic meters | 536608 | 597342 | 521400 |
| Purchased Electricity | kilowatt-hour | 13367140 | 16008120 | 15554880 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption in Office | tons | 97998 | 105304 | 92918 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Energy-saving and Carbon Reduction Demonstration Projects Achieved | 47 | 50 | 69 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Packaging Material Consumption (Paper) | ten thousand pieces | 2030 | 2413 | 2190 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Contractors | 5177 | 5401 | 4984 | |
| Number of Employees Aged 30-50 | 38155 | 41289 | 47291 | |
| Number of Employees Aged Above 50 | 2440 | 2834 | 2734 | |
| Number of Employees Aged Below 30 | 36469 | 35159 | 35858 | |
| Number of Employees in Hong Kong | 2283 | 2416 | 2452 | |
| Number of Employees in Hong Kong and Mainland China | 81869 | 84373 | 90521 | |
| Number of Employees in Mainland China | 79586 | 81957 | 88069 | |
| Number of Female Employees | 44102 | 45443 | 47748 | |
| Number of Male Employees | 32962 | 33839 | 38135 | |
| Number of New Employees | 9072 | |||
| Number of New Employees (On-campus Recruitment) | 4392 | |||
| Number of New Employees (Social Recruitment) | 4680 | |||
| Number of Total Employees | 82241 | 84683 | 90867 | |
| Percentage of Female Employees | % | 57.32 | 55.6 | |
| Percentage of Male Employees | % | 42.68 | 44.4 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 6.34 | 5.39 | 5.62 |
| Turnover Rate of Employees Aged Above 50 | % | 3.02 | 2.04 | 3.73 |
| Turnover Rate of Employees Aged Below 30 | % | 11.43 | 10.7 | 9.54 |
| Turnover Rate of Female Employees | % | 8.21 | 7.08 | 6.35 |
| Turnover Rate of Full-time Employees | % | 8.73 | 7.71 | 7.24 |
| Turnover Rate of Male Employees | % | 9.4 | 8.54 | 8.33 |
| Turnover Rate of Total Employees | % | 8.73 | 7.71 | 7.24 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Percentage of Employees Trained | % | 99 | |
| Percentage of Trained Female Employees | % | 94 | 99 |
| Percentage of Trained General Employees | % | 94 | 99 |
| Percentage of Trained Male Employees | % | 94 | 99 |
| Percentage of Trained Middle Management | % | 71 | 100 |
| Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | 101 | 84.37 | |
| Average Training Hours (General Staff) | hours | 99.2 | 84.8 | |
| Average Training Hours (Male) | hours | 95.9 | 85.44 | |
| Average Training Hours (Middle Management) | hours | 47.3 | 135.1 | |
| Average Training Hours per Employee | hours | 125 | 98.9 | 85.11 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 271 | 311 | 416 | |
| Number of Suppliers in Overseas | 4 | |||
| Number of Total Suppliers | 12019 | 15618 | 20874 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Products and Service Related Complaints | 64 | |
| Total Number of Customer Complaints | complaints | 27992 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB 100 million | 1.17 | 1.69 | 2.13 |
| Total Public Welfare Donations | RMB 100 million | 0.36 | 0.85 | 2.88 |
| Total Social Investment | RMB 100 million | 1.53 | 2.54 | 5.01 |