China Merchants Bank Sustainability Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Refrigerant consumption (kilograms) | kilograms | 17885.75 | 8496.8 | 5483.45 | 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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Carbon emission reduction volume driven by loans | million tons | 2.7048 | 90 | ||
| Carbon emissions reduced by users through sustainable behavior program | tonnes | 1180.02 | 95 | ||
| Greenhouse gas emissions (scope 1 plus scope 2) Group Scope | 10000 tons of CO2 equivalent | 47.81 | 50.36 | 51.92 | 112 |
| Greenhouse gas emissions (scope 1 plus scope 2) Legal Entity Scope | 10000 tons of CO2 equivalent | 45.87 | 48.43 | 49.99 | 112 |
| Scope 1 (direct) greenhouse gas emissions Group Scope | 10000 tons of CO2 equivalent | 2.31 | 2.93 | 5.33 | 112 |
| Scope 1 (direct) greenhouse gas emissions Legal Entity Scope | 10000 tons of CO2 equivalent | 2.18 | 2.81 | 5.15 | 112 |
| Scope 1 fixed emission sources carbon emissions, CMB’s Nanjing Branch | metric tons | 867.1 | 86 | ||
| Scope 1 greenhouse gas emissions from mobile sources Group Scope | 10000 tons of CO2 equivalent | 0.34 | 0.36 | 0.34 | 112 |
| Scope 1 greenhouse gas emissions from mobile sources Legal Entity Scope | 10000 tons of CO2 equivalent | 0.32 | 0.32 | 0.32 | 112 |
| Scope 1 greenhouse gas emissions from refrigeration release Group Scope | 10000 tons of CO2 equivalent | 1.04 | 1.73 | 4.16 | 112 |
| Scope 1 greenhouse gas emissions from refrigeration release Legal Entity Scope | 10000 tons of CO2 equivalent | 0.95 | 1.67 | 4.02 | 112 |
| Scope 1 greenhouse gas emissions from stationary sources Group Scope | 10000 tons of CO2 equivalent | 0.93 | 0.84 | 0.83 | 112 |
| Scope 1 greenhouse gas emissions from stationary sources Legal Entity Scope | 10000 tons of CO2 equivalent | 0.91 | 0.82 | 0.81 | 112 |
| Scope 2 purchased electricity carbon emissions, CMB’s Credit Card Center, Guangzhou Branch, Hefei Branch, and Zhengzhou Branch | metric tons | 40671.89 | 86 | ||
| Scope 3 greenhouse gas emissions (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 245.78 | 273.71 | 280.06 | 114 |
| Scope 3 greenhouse gas emissions – Category 13: downstream leased assets (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 1.41 | 1.5 | 1.56 | 114 |
| Scope 3 greenhouse gas emissions – Category 1: purchased goods and services (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 161.25 | 174.12 | 170.85 | 114 |
| Scope 3 greenhouse gas emissions – Category 2: capital goods (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 61.08 | 69.58 | 77.91 | 114 |
| Scope 3 greenhouse gas emissions – Category 3: fuel- and energy-related activities (not Included in Scope 1 or Scope 2) (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 14.2 | 14.55 | 14.8 | 114 |
| Scope 3 greenhouse gas emissions – Category 4: upstream transportation and distribution (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 1.34 | 1.21 | 1.05 | 114 |
| Scope 3 greenhouse gas emissions – Category 5: waste generated in operations (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 0.7 | 0.61 | 0.54 | 114 |
| Scope 3 greenhouse gas emissions – Category 6: business travel (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 1.98 | 5.57 | 4.59 | 114 |
| Scope 3 greenhouse gas emissions – Category 7: employee commuting (10000 tons of CO2 equivalent) | 10000 tons of CO2 equivalent | 3.82 | 6.57 | 8.76 | 114 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Hazardous waste intensity | kilograms/person | 0.42 | 0.37 | 120 |
| Total amount of hazardous waste | tons | 58.43 | 50.51 | 120 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Amount of cycling waste | tons | / | 149.24 | 120 |
| Categories of recyclable assets allocated by Asset Reuse Repository system | categories | 22 | 106 | |
| Kitchen waste generated at headquarters cafeteria | metric tons | 188.76 | 106 | |
| Non-hazardous waste intensity | kilograms/person | 222.72 | 217.84 | 120 |
| Total amount of non-hazardous waste | tons | 30670.57 | 30114.39 | 120 |
| Total amount of waste | tons | 30729 | 30164.9 | 120 |
| Total food waste generated at the Shenzhen premises of the Head Office | metric tons | 188.76 | 88 | |
| Year-on-year reduction in kitchen waste at headquarters cafeteria | % | 36.97% | 106 | |
| Year-on-year reduction in total food waste generated at the Shenzhen premises of the Head Office | 36.97% | 88 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| Carbon emission reduction loans issued | billion RMB | 15.001 | 90 | ||||
| Converted annual emission reduction of ammonia nitrogen (NH3-N) from green loan projects | 10000 tons | 5.5 | 2.4 | 2.28 | 111 | ||
| Converted annual emission reduction of carbon dioxide equivalent from green loan projects | 10000 tons, ten thousand tons | 1613.05 | 1778.67 | 1778.67 | 1928.78 | 15, 111 | |
| Converted annual emission reduction of chemical oxygen demand (COD) from green loan projects | 10000 tons, ten thousand tons | 35.72 | 27.66 | 27.66 | 28.49 | 15, 111 | |
| Converted annual emission reduction of nitrogen oxides (NOx) from green loan projects | 10000 tons | 3.48 | 4.43 | 5.17 | 111 | ||
| Converted annual emission reduction of standard coal from green loan projects | 10000 tons, ten thousand tons | 733.01 | 799.42 | 856.08 | 856.08 | 15, 111 | |
| Converted annual emission reduction of sulfur dioxide from green loan projects | 10000 tons | 16.49 | 17.29 | 18.19 | 111 | ||
| Greenhouse gas emissions reduction at Headquarters and branches in Dongguan, Kunming and Guiyang through electronic procurement systems, optimized office paper allocation, and energy inspection teams | tons of carbon dioxide equivalent | 352.97 | 100 | ||||
| Greenhouse gas emissions reduction from installation of variable frequency pumps, upgrades to façade signage and rooftop advertisements, and dynamic adjustment of equipment | tons of carbon dioxide equivalent | 10361.16 | 100 | ||||
| Number of projects issued carbon emission reduction loans | 118 | 90 | |||||
| Scope 1 fixed emission sources carbon emissions reduction target, CMB’s Nanjing Branch | decrease by 20% compared to 2023 | 86 | |||||
| Scope 2 purchased electricity carbon emissions reduction target, CMB’s Credit Card Center, Guangzhou Branch, Hefei Branch, and Zhengzhou Branch | decrease by 4% compared to 2023 | 86 |
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 | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|
| Balance of green loan (RMB100 million) | RMB100 million | 3553.57 | 4477.65 | 4882 | 110 | |
| Balance of green loans in the context of the People’s Bank of China | billion RMB | 488.2 | 90 | |||
| CMB Financial Leasing green leasing business balance | RMB billion | 144.913 | 96 | |||
| Cost of purchased heat (RMB10000) | RMB10000 | 1796.43 | 1992.47 | 1722.09 | 116 | |
| Diesel consumption of backup generators (10000 liters) | 10000 liters | 4.41 | 6.23 | 7.71 | 116 | |
| Diesel consumption of owned vehicles (liters) | liters | 4635.92 | 2535.5 | 1773.44 | 115 | |
| Direct energy consumption (10000 tons of standard coal) | 10000 tons of standard coal | 0.67 | 0.62 | 0.61 | 115 | |
| Emissions from office paper usage (Purchased Goods and Services) | metric tons | 2632.93 | 87 | |||
| Fuel consumption of retained public vehicles at Shenzhen premises of Head Office | liters | 61587.23 | 87 | |||
| Gasoline consumption of backup generators (liters) | liters | 1576.64 | 1119.11 | 1094.89 | 116 | |
| Gasoline consumption of owned vehicles (10000 liters) | 10000 liters | 143.68 | 146.28 | 145.03 | 115 | |
| Headquarters official vehicles fuel consumption | liters | 61587.33 | 107 | |||
| Indirect energy consumption (10000 tons of standard coal) | 10000 tons of standard coal | 9.66 | 10.12 | 9.91 | 115 | |
| Installed capacity in green energy sector by CMB Financial Leasing | GW | 21 | 96 | |||
| Liquefied petroleum gas (LPG) consumption in cafeteria (tons) | tons | 5.92 | 53.41 | 48.96 | 116 | |
| Loan growth for green finance | % | 9.03 | 10 | |||
| Natural gas consumption (10000 cubic meters) | 10000 cubic meters | 404.72 | 363.25 | 369.11 | 115 | |
| Number of branch outlets with real-time electricity monitoring | 174 | 101 | ||||
| Number of headquarters office buildings with real-time electricity monitoring | 54 | 101 | ||||
| Number of public funds on consignment with ESG, green, environmental protection, new energy, and carbon neutrality themes | 94 | 96 | ||||
| Total energy consumption (10000 tons of standard coal) | 10000 tons of standard coal | 10.33 | 10.74 | 10.52 | 115 | |
| Total energy consumption intensity (tons of standard coal/ person) | tons of standard coal/person | 0.93 | 0.94 | 0.91 | 115 | |
| Total purchased electricity consumption (MWh) | MWh | 749206.76 | 755746.17 | 730468.45 | 116 | |
| Year-on-year decrease in fuel consumption of retained public vehicles at Shenzhen premises of Head Office | decrease | 17.79% | 87 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Municipal water consumption under legal entity scope | million metric tons | 1.8384 | 87 |
| Year-on-year decline in municipal water consumption under legal entity scope | decline | 27.89% | 87 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|
| Average power usage effectiveness (PUE) of owned data centers | 1.47 | 1.59 | 1.54 | 116 | ||
| Headquarters official vehicles fuel consumption year-on-year decrease | 17.79% | 107 | ||||
| Number of new low-carbon credit cards issued | 433700 | 95 | ||||
| Proportion of green financial assets to total allocated amount by CMB Financial Leasing | 65.68% | 96 | ||||
| Proportion of green leasing business balance to total leasing assets | 50.80% | 96 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Converted annual water saving of green loan projects | 10000 tons | 1481.79 | 1552.68 | 1504.36 | 111 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Issuance size of 2024 First Tranche Green Medium-Term Notes (Science and Innovation Notes) for Hunan Iron and Steel Group Co., Ltd. | billion RMB | 1 | 94 |
| Issuance size of 2024 First Tranche Green Medium-Term Notes for Sichuan Energy Investment Group Co., Ltd. | RMB billion | 1 | 93 |
| Issuance size of 2024 Second Tranche Medium-Term Notes (Sustainability-Linked) for Fujian Longyan Expressway Co., Ltd. | RMB million | 200 | 93 |
| MSCI ESG rating | AAA | 10 | |
| Number of enterprises facilitated in issuing green bonds | 32 | 93 | |
| Number of green bonds issued | 68 | 93 | |
| Number of pilot branches with prefabricated decoration added in 2024 | branches | 12 | 99 |
| Number of prefab-decorated branches to be completed by end of 2024 | branches | 27 | 99 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Total balance of green finance product aggregate (FPA), green retail, and green investment | billion RMB | 1135.174 | 90 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average board meeting attendance | % | 97.52 | 96.06 | 97.1 | 295 |
| Average tenure of board members | year | 5.6 | 4.4 | 4.5 | 295 |
| Cumulative number of personal pension accounts opened | 10000000 | 10, 138 | |||
| Employee number | 112999 | 116529 | 117201 | 248 | |
| New hires aged 30 and below | 9296 | 9422 | 8085 | 250 | |
| New hires aged above 50 | 35 | 42 | 47 | 250 | |
| New hires aged between 31 and 50 | 1308 | 1147 | 987 | 250 | |
| New hires in campus recruitment | 6276 | 7113 | 6365 | 250 | |
| New hires in social recruitment | 4363 | 3498 | 2754 | 250 | |
| Number of R&D personnel under the Group | persons | 10900 | 147 | ||
| Number of branches operated | branches | 143 | 134 | ||
| Number of business outlets in rural and county areas | 126 | 128 | 131 | 241 | |
| Number of directors | 15 | 15 | 14 | 295 | |
| Number of directors on the Board | directors | 14 | 263 | ||
| Number of employees aged 30 and below | 46066 | 45405 | 44019 | 248 | |
| Number of employees under labor contracts | 105419 | 109665 | 111901 | 248 | |
| Number of employees under labor dispatch agreements | 7580 | 6864 | 5300 | 248 | |
| Number of ethnic minority employees | person | 4625 | 4942 | 5192 | 15, 253 |
| Number of executive directors on the Board | directors | 3 | 263 | ||
| Number of female directors | 1 | 2 | 295 | ||
| Number of female employees | 59405 | 62085 | 63807 | 248 | |
| Number of inclusive SMEs loan customers | 10000 | 99.07 | 100.45 | 107.73 | 246 |
| Number of inclusive SMEs with loan balances | million | 1.0773 | 130 | ||
| Number of independent non-executive directors | 6 | 6 | 6 | 295 | |
| Number of independent non-executive directors on the Board | directors | 6 | 263 | ||
| Number of male directors | 14 | 15 | 12 | 295 | |
| Number of male employees | 46014 | 47580 | 48094 | 248 | |
| Number of new female hires | 6162 | 6505 | 5365 | 250 | |
| Number of new hires | 10639 | 10611 | 9119 | 250 | |
| Number of new male hires | 4477 | 4106 | 3754 | 250 | |
| Number of non-executive directors on the Board | directors | 5 | 263 | ||
| Number of non-executive directors with industry experience | 9 | 7 | 6 | 295 | |
| Number of other non-executive directors | 8 | 7 | 5 | 295 | |
| Number of specialized institutions at branch level | institutions | 2 | 134 | ||
| Overall attendance rate of directors | percent | 97.10% | 263 | ||
| Percentage of R&D personnel of total employees | % | 9.3 | 147 | ||
| Percentage of female employees | % | 56 | 57 | 57 | 15, 253 |
| Percentage of female employees in senior and middle management | % | 22 | 23 | 22 | 253 |
| Percentage of male employees | % | 44 | 43 | 43 | 253 |
| Percentage of male employees in senior and middle management | % | 78 | 77 | 78 | 253 |
| Total financing provided to corporate clients | trillion RMB | 3.5 | 10 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate | % | 7.14 | 6.61 | 5.72 | 251 |
| Female employee turnover rate | % | 6.65 | 6.32 | 5.82 | 251 |
| Male employee turnover rate | % | 7.78 | 6.7 | 5.59 | 251 |
| Turnover rate of employees aged 30 and below | % | 10.73 | 10.22 | 10.37 | 251 |
| Turnover rate of employees aged above 50 | % | 3.46 | 1.94 | 2.15 | 251 |
| Turnover rate of employees aged between 31 and 50 | % | 4.76 | 4.13 | 3.18 | 251 |
| Turnover rate of employees in the Yangtze River Delta region | % | 6.75 | 6.26 | 6.54 | 251 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of workdays lost due to work-related injuries | day | 1886 | 2310 | 4472 | 255 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Digital capability assessment certifications | person-times | 46700 | 147 | ||
| Number of employee training rounds | 6715 | 8596 | 10091 | 256 | |
| Number of employees who attended training | 79603 | 84603 | 86048 | 256 | |
| Number of employees who participated in online learning | 10000 | 12259 | 18763 | 16544 | 256 |
| Number of employees who participated in training | 10000 | 43 | 55.19 | 63.09 | 256 |
| Number of training organized for board members | session | 4 | 7 | 11 | 295 |
| Participation in certifications by information technology department employees | person-times | 51900 | 147 | ||
| Percentage of employees accepting training | % | 98 | 98.12 | 98.08 | 256 |
| Percentage of female employees accepting training | % | 98 | 98.2 | 98.14 | 256 |
| Percentage of male employees accepting training | % | 98 | 97.99 | 97.99 | 256 |
| Percentage of senior managers accepting training | % | 100 | 100 | 100 | 256 |
| Training coverage rate for formal employees | 100% | 154 | |||
| Training coverage rate for head office management personnel | 100% | 154 | |||
| Training coverage rate for new employees | 100% | 154 | |||
| Training coverage rate for operation staff at branch outlets | 100% | 154 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee training expenses | RMB10000 | 52683 | 54777 | 59681 | 256 |
| Participation in digital enablement training by branch business personnel | person-times | 31700 | 147 | ||
| Participation in digital training programs by cadres and employees | person-times | 32100 | 147 |
Number of suppliers by geographical region.
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|
| Balance of ESG-themed wealth management products on consignment | RMB billion | 13.134 | 96 | |||
| Balance of agriculture-related loans | RMB100 million | 1769 | 2011.26 | 2410.41 | 246 | |
| Balance of loans made to clean energy industry (RMB100 million) | RMB100 million | 1270.29 | 1471.59 | 1618.52 | 110 | |
| Balance of loans made to clean production industry (RMB100 million) | RMB100 million | 88.28 | 79.76 | 87.38 | 110 | |
| Balance of loans made to ecological and environmental industries (RMB100 million) | RMB100 million | 108.61 | 144.37 | 85.12 | 110 | |
| Balance of loans made to energy-saving and eco-friendly industry (RMB100 million) | RMB100 million | 511.13 | 606.58 | 588.29 | 110 | |
| Balance of loans made to green service (RMB100 million) | RMB100 million | 11.39 | 14.88 | 26.69 | 110 | |
| Balance of loans made to green upgrades of infrastructure (RMB100 million) | RMB100 million | 1563.87 | 2160.48 | 2476 | 110 | |
| Balance of loans to inclusive SMEs | RMB100 million, billion RMB | 6783.49 | 8042.79 | 8876.79 | 15, 130, 246 | |
| Balance of loans to technology enterprises | RMB100 million | / | 5380.76 | 5904.56 | 15 | |
| Balance of loans to the clean energy industry | billion RMB | 161.852 | 90 | |||
| Balance of public funds on consignment with ESG, green, environmental protection, new energy, and carbon neutrality themes | RMB billion | 4.246 | 96 | |||
| Budget of centralized procurement projects (headquarters) | RMB100 million | 49.19 | 25.56 | 58.8 | 260 | |
| Increase in balance of loans to inclusive SMEs compared with previous year | billion RMB | 83.4 | 130 | |||
| Increase in green bonds held compared to previous year | % | 16.36 | 94 | |||
| Increase in green building mortgage loans compared to previous year | RMB billion | 21.683 | 95 | |||
| Increase in number of inclusive SMEs with loan balances compared with previous year | households | 72800 | 130 | |||
| Loan growth for inclusive finance | % | 10.37 | 10 | |||
| Loan growth for technology sector | % | 9.73 | 10 | |||
| Newly issued loans to inclusive SMEs | billion RMB | 622.533 | 130 | |||
| Number of centralized procurement projects (headquarters) | 282 | 252 | 312 | 260 | ||
| Number of community banks | 150 | 134 | 115 | 241 | ||
| Number of corporate clients financed | 72000 | 10 | ||||
| Number of corporate clients using financial cloud services | 615200 | 10 | ||||
| Number of domestic and foreign branches | 1910 | 1935 | 1948 | 241 | ||
| Number of domestic business outlets | 1899 | 1924 | 1937 | 241 | ||
| Number of domestic self-service banks | 2695 | 2226 | 2190 | 241 | ||
| Number of self-service equipment | 5855 | 5281 | 5277 | 241 | ||
| Number of sub-branches operated in Chinese mainland | sub-branches | 1794 | 134 | |||
| Number of suppliers for centralized procurement projects | 528 | 476 | 461 | 259 | ||
| Number of suppliers in overseas and Hong Kong, Macao, and Taiwan regions | 30 | 22 | 10 | 259 | ||
| Number of suppliers in the Chinese mainland | 498 | 454 | 451 | 259 | ||
| Number of suppliers included in supplier database | 29868 | 30252 | 43734 | 259 | ||
| Proportion of agriculture-related loan balance to total loan balance | % | 3.04 | 3.21 | 3.56 | 246 | |
| Year-on-year increase in balance of green loans | % | 9.03 | 90 | |||
| Year-on-year increase in balance of loans to the clean energy industry | % | 9.98 | 90 | |||
| Year-on-year increase in green leasing business balance | 19.27% | 96 |
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 | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|
| Average cycle of centralized procurement projects (headquarters) | day | 24 | 25 | 23 | 260 | |
| Coverage rate of contract performance management for centralized procurement catalogue projects (bank-wide, managed by headquarters) | % | 100 | 100 | 100 | 260 | |
| Coverage rate of supplier review (headquarters' centralized procurement certification database) | % | 100 | 100 | 100 | 260 | |
| Feed equipment leasing services provided by CMB Financial Leasing | million RMB | 238 | 134 | |||
| Green loan balance increase compared to prior year (RMB100 million) | RMB100 million | 915.15 | 924.08 | 404.35 | 110 | |
| Number of new policies, products and services reviewed | item | 76464 | 102983 | 180921 | 15 | |
| Number of new policies, products, and services reviewed | item | 76464 | 102983 | 180921 | 247 | |
| Number of supplier social responsibility training sessions | / | / | 4 | 260 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of suppliers passing certification audits | 10000 | 1.2 | 1.2 | 1.8 | 259 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|
| Annual accumulative number of consumer education activities | times | 14940 | 18256 | 34669 | 247 | |
| Coupon rate of 2024 First Tranche Green Medium-Term Notes (Science and Innovation Notes) for Hunan Iron and Steel Group Co., Ltd. | % | 2.65 | 94 | |||
| Coupon rate of 2024 First Tranche Green Medium-Term Notes for Sichuan Energy Investment Group Co., Ltd. | % | 2.78 | 93 | |||
| Coupon rate of 2024 Second Tranche Medium-Term Notes (Sustainability-Linked) for Fujian Longyan Expressway Co., Ltd. | % | 2.05 | 93 | |||
| Cumulative number of users on CMB Life App | 100 million | 1.37 | 1.44 | 1.49 | 242 | |
| Customer coverage rate of corporate online channels | % | 94.71 | 96.21 | 96.83 | 242 | |
| Growth in client transactions | % | 19.4 | 10 | |||
| Growth in cross-border payments | % | 19.26 | 10 | |||
| Net Promoter Score (NPS) | points | 75.85 | 156 | |||
| New employees consumer rights protection training sessions | person-times | 29832 | 154 | |||
| Number of ESG-themed wealth management products launched by CMB Wealth Management | 8 | 96 | ||||
| Number of ESG-themed wealth management products on consignment | 19 | 96 | ||||
| Number of client production entities served by feed equipment leasing | entities | 11 | 134 | |||
| Number of complaints against CMB in Beijing | complaints | 14720 | 161 | |||
| Number of complaints against CMB in Changchun | complaints | 1267 | 161 | |||
| Number of complaints against CMB in Changsha | complaints | 2687 | 161 | |||
| Number of complaints against CMB in Chengdu | complaints | 3410 | 161 | |||
| Number of complaints against CMB in Chongqing | complaints | 3331 | 161 | |||
| Number of complaints against CMB in Dalian | complaints | 2124 | 161 | |||
| Number of complaints against CMB in Dongguan | complaints | 1879 | 161 | |||
| Number of complaints against CMB in Foshan | complaints | 1789 | 161 | |||
| Number of complaints against CMB in Fuzhou | complaints | 1807 | 161 | |||
| Number of complaints against CMB in Guangzhou | complaints | 6364 | 161 | |||
| Number of complaints against CMB in Hangzhou | complaints | 5979 | 161 | |||
| Number of complaints against CMB in Harbin | complaints | 2641 | 161 | |||
| Number of complaints against CMB in Hefei | complaints | 2883 | 161 | |||
| Number of complaints against CMB in Jinan | complaints | 4101 | 161 | |||
| Number of complaints against CMB in Kunming | complaints | 1800 | 161 | |||
| Number of complaints against CMB in Nanchang | complaints | 2614 | 161 | |||
| Number of complaints against CMB in Nanjing | complaints | 6846 | 161 | |||
| Number of complaints against CMB in Ningbo | complaints | 1681 | 161 | |||
| Number of complaints against CMB in Qingdao | complaints | 3295 | 161 | |||
| Number of complaints against CMB in Shanghai (includes credit card complaints) | complaints | 66296 | 161 | |||
| Number of complaints against CMB in Shenyang | complaints | 3749 | 161 | |||
| Number of complaints against CMB in Shenzhen (includes complaints related to headquarters departments) | complaints | 28949 | 161 | |||
| Number of complaints against CMB in Suzhou | complaints | 2694 | 161 | |||
| Number of complaints against CMB in Taiyuan | complaints | 1444 | 161 | |||
| Number of complaints against CMB in Tianjin | complaints | 3446 | 161 | |||
| Number of complaints against CMB in Wuhan | complaints | 6423 | 161 | |||
| Number of complaints against CMB in Xiamen | complaints | 1600 | 161 | |||
| Number of complaints against CMB in Xi’an | complaints | 5366 | 161 | |||
| Number of complaints against CMB in Yantai | complaints | 1368 | 161 | |||
| Number of complaints against CMB in Zhengzhou | complaints | 2458 | 161 | |||
| Number of consumer rights protection proposals reviewed by Board of Directors | 9 | 151 | ||||
| Number of consumer rights protection reports listened to by Board Committee on Connected Transactions Management and Consumer Rights Protection | 15 | 151 | ||||
| Number of consumer rights protection reports listened to by Board of Supervisors | 8 | 151 | ||||
| Number of customers on the CMB Corporate App | 10000 | 148.88 | 185.02 | 218.74 | 242 | |
| Number of customers on the online corporate banking platform | 10000 | 233.38 | 264.64 | 299.35 | 242 | |
| Number of individual clients financed | 5460000 | 10 | ||||
| Number of monthly active users of CMB App | 10000, ten thousand | 6686.2 | 6686.2 | 7505.43 | 8267.81 | 15, 242 |
| Number of new individual customers | 10000 | 1060 | 1282 | 1295 | 242 | |
| Number of orders placed through the “Zhaocaiyun” Platform | 390000 | 499724 | 691297 | 259 | ||
| Number of users of CMB App | 100 million | 1.88 | 2.07 | 2.26 | 242 | |
| Number of visual devices | 12511 | 7603 | 4953 | 241 | ||
| Rate of customer complaints handled | % | / | 100 | 100 | 247 | |
| Remote online omni-channel customer satisfaction | % | 98.53 | 99.1 | 99.69 | 15 | |
| Response rate within 1-hour for customer complaints | % | 99.78 | 156 | |||
| Total client savings from reduced fees and waived charges | billion RMB | 10 | 10 | |||
| Total retail customers | 100 million | 1.84 | 1.97 | 2.1 | 242 | |
| Transaction amount on the CMB Corporate App | RMB100 million | 8649.25 | 7507.15 | 10160.34 | 242 | |
| Year-on-year increase in registered users of Zhaodai App | % | 16.48 | 130 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Leading underwriting share of green bonds | RMB billion | 24.835 | 93 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of new service outlets added | outlets | 13 | 134 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Branch management personnel consumer rights protection training sessions | person-times | 27872 | 154 | ||
| Branch operation staff consumer rights protection training sessions | training sessions | 68100 | 154 | ||
| Head office management personnel consumer rights protection training sessions | person-times | 886 | 154 | ||
| Middle- and back-office staff consumer rights protection training sessions | person-times | 59142 | 154 | ||
| Number of people covered by consumer rights protection training | person | 89600 | 99797 | 91438 | 247 |
| Percentage of new credit card applicants submitting documentation via paperless methods | % | 99.45 | 105 | ||
| Registered users of Zhaodai App | million | 4.2231 | 130 | ||
| Review coverage rate for consumer rights protection | % | 100 | 156 | ||
| Total employees covered by consumer rights protection training | employees | 91438 | 154 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of cadres’ integrity talks before taking office | 1757 | 1667 | 3333 | 297 | |
| Number of existing transaction monitoring rules optimized | 135 | 291 | |||
| Number of new transaction monitoring rules added | 105 | 291 | |||
| Number of proposals reviewed by Board meetings | proposals | 103 | 263 | ||
| Number of proposals reviewed by specialized committee meetings | proposals | 135 | 263 | ||
| Number of reports received by Board meetings | reports | 22 | 263 | ||
| Number of reports received by specialized committee meetings | reports | 28 | 263 | ||
| Number of specialized committee meetings held | meetings | 42 | 263 | ||
| Total number of Board and specialized committee meetings held | meetings | 57 | 263 | ||
| Total number of proposals reviewed by Board and specialized committee meetings | proposals | 238 | 263 | ||
| Total number of reports received by Board and specialized committee meetings | reports | 50 | 263 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Anti-corruption training times | 1500 | 1880 | 2526 | 297 | |
| Number of AML training sessions organized | 1258 | 291 | |||
| Number of Board meetings held | meetings | 15 | 263 | ||
| Number of employees covered by AML training sessions | 270000 | 291 | |||
| Number of executive directors | 1 | 2 | 3 | 295 | |
| Number of people covered by anti-corruption training | 10000 | 16.4 | 19.79 | 32.34 | 297 |
| Percentage of directors covered by anti-bribery and anti-corruption training | % | 100 | 297 | ||
| Percentage of grassroots employees covered by anti-bribery and anti-corruption training | % | 95.57 | 297 | ||
| Percentage of senior management covered by anti-bribery and anti-corruption training | % | 100 | 100 | 100 | 297 |
| Total number of directors covered by anti-bribery and anti-corruption training | 14 | 297 | |||
| Total number of grassroots employees covered by anti-bribery and anti-corruption training | 81834 | 297 | |||
| Total number of senior management covered by anti-bribery and anti-corruption training | 13 | 13 | 10 | 297 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Amount of newly issued inclusive SMEs loans within this year | RMB100 million | 4762.43 | 6028.21 | 6225.33 | 246 |
| Number of consumer education participants | 10000 person-times | 50801 | 55465 | 56521.83 | 247 |
| Number of outlets with barrier-free accesses | 1899 | 1924 | 1937 | 241 | |
| Peak order subscription multiple for offshore social responsibility bond | times | 5.5 | 130 | ||
| Total number of credit card 'Points for Micro Charity' donation cardholders | 10000 | 16.21 | 24.9 | 15.39 | 258 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average interest rate of newly issued loans to inclusive SMEs | % | 4.22 | 130 | ||
| First offshore social responsibility bond of Chinese-funded banks issued by CMB's New York Branch | million US dollars | 300 | 130 | ||
| Green financial assets allocated by CMB Financial Leasing | RMB billion | 73.388 | 96 | ||
| Investment amount in rural revitalization (headquarters to Wuding County and Yongren County, Chuxiong Yi Autonomous Prefecture, Yunnan) | RMB10000 | / | / | 5606.65 | 258 |
| Issuance interest rate for offshore social responsibility bond (SOFR plus basis points) | basis points | 54 | 130 | ||
| Number of people benefited from rural revitalization (Wuding County and Yongren County, Chuxiong Yi Autonomous Prefecture, Yunnan) | 10000 | / | / | 33.67 | 258 |
| Outstanding balance of ESG-themed wealth management products launched by CMB Wealth Management | RMB billion | 7.691 | 96 | ||
| Outstanding balance of green building mortgage loans | RMB billion | 54.901 | 95 | ||
| Person-times of people reached by financial education and publicity | million | 565 | 156 | ||
| Total amount of external donations | RMB100 million | 0.95 | 1.15 | 1.27 | 258 |
| Total external donations | RMB100 million | 0.95 | 1.15 | 1.27 | 15 |
| Total green bond issuance amount | RMB billion | 73.143 | 93 | ||
| Total green bonds held by the company | billion RMB | 27.713 | 94 | ||
| Total points of credit card 'Points for Micro Charity' donations | 10000 | 3543.83 | 2115.36 | 2178.72 | 258 |
| Weighted average loan interest rate for carbon emission reduction loans | % | 3 | 90 | ||
| Year-on-year increase in total balance of green finance product aggregate (FPA), green retail, and green investment | % | 23.33 | 90 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes |
| NOₓ Emissions | tonnes |
| SOₓ Emissions | tonnes |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | 10000 tons of CO2 equivalent | 2.31 | 2.93 | 5.33 |
| HFC Emissions | 10000 tons of CO2 equivalent | 1.04 | 1.73 | 4.16 |
| Indirect Energy Emissions (Scope 2) | 10000 tons of CO2 equivalent | 45.5 | 47.43 | 46.59 |
| Mobile Combustion Emissions | 10000 tons of CO2 equivalent | 0.34 | 0.36 | 0.34 |
| Scope 3 GHG Emissions (Business Travel) | 10000 tons of CO2 equivalent | 1.98 | 5.57 | 4.59 |
| Scope 3 GHG Emissions (Capital Goods) | 10000 tons of CO2 equivalent | 61.08 | 69.58 | 77.91 |
| Scope 3 GHG Emissions (Downstream Leased Assets) | 10000 tons of CO2 equivalent | 1.41 | 1.5 | 1.56 |
| Scope 3 GHG Emissions (Employee Commuting) | 10000 tons of CO2 equivalent | 3.82 | 6.57 | 8.76 |
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | 10000 tons of CO2 equivalent | 14.2 | 14.55 | 14.8 |
| Scope 3 GHG Emissions (Purchased Goods/Services) | 10000 tons of CO2 equivalent | 161.25 | 174.12 | 170.85 |
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | 10000 tons of CO2 equivalent | 1.34 | 1.21 | 1.05 |
| Scope 3 GHG Emissions (Waste Generated in Operations) | 10000 tons of CO2 equivalent | 0.7 | 0.61 | 0.54 |
| Stationary Combustion Emissions | 10000 tons of CO2 equivalent | 0.93 | 0.84 | 0.83 |
| Total GHG Emissions | 10000 tons of CO2 equivalent | 47.81 | 50.36 | 51.92 |
| Total GHG Emissions Intensity (By Employee) | tons of CO2 equivalent/person | 3.59 | 3.66 | 3.76 |
| Total Other Indirect Energy Emissions (Scope 3) | 10000 tons of CO2 equivalent | 245.78 | 273.71 | 280.06 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Hazardous Waste | tons | 58.43 | 50.51 |
| Total Hazardous Waste Intensity (By Employee) | kilograms/person | 0.42 | 0.37 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | tons | 30670.57 | 30114.39 |
| Non-Hazardous Waste (Kitchen Waste) | metric tons | 188.76 | |
| Total Non-Hazardous Waste Intensity (By Employee) | kilograms/person | 222.72 | 217.84 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|
| Ammonia Nitrogen Emissions Reduction Compared to Last Year | 10000 tons | 5.5 | 2.4 | 2.28 | ||
| CO2 Emissions Reduction Compared to Last Year | 10000 tons | 1613.05 | 3391.72 | 3707.45 | 1928.78 | |
| GHG Emissions Reduction Compared to Last Year | tons of carbon dioxide equivalent | 10714.13 | ||||
| NOx Emissions Reduction Compared to Last Year | 10000 tons | 3.48 | 4.43 | 5.17 | ||
| SO2 Emissions Reduction Compared to Last Year | 10000 tons | 16.49 | 17.29 | 18.19 | ||
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 20 | ||||
| Scope 2 Emissions Reduction Percentage Compared to Last Year | % | 4 |
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 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|
| Diesel Fuel Consumption | liters | 44100 | 66935.92 | 79635.5 | 1773.44 |
| Energy Consumption Intensity (By Employee) | tons of standard coal/person | 0.93 | 0.94 | 0.91 | |
| Gasoline Consumption | liters | 1576.64 | 144799.11 | 147374.89 | 145030 |
| LPG Consumption | tons | 5.92 | 53.41 | 48.96 | |
| Natural Gas Consumption | cubic meters | 404720 | 363250 | 369110 | |
| Purchased Electricity | MWh | 749206.76 | 755746.17 | 730468.45 | |
| Purchased Heating | RMB10000 | 1796.43 | 1992.47 | 1722.09 | |
| Total Direct Energy Consumption | tons of standard coal | 6700 | 6200 | 6100 | |
| Total Energy Consumption | tons of standard coal | 103300 | 107400 | 105200 | |
| Total Indirect Energy Consumption | tons of standard coal | 96600 | 101200 | 99100 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Municipal Water Consumption | million metric tons | 1.8384 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 532600 |
| Energy Consumption Reduction Compared to Last Year | tonnes standard coal | 328.71 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Water Consumption Reduction Compared to Last Year | 10000 tons | 70.89 | -48.32 |
| Water Consumption Reduction Percentage Compared to Last Year | % | 4.79 | -3.11 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Climate Change Management | billion RMB | 1135.174 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | 62608 | 68744 | 71335 | |
| Number of Employees Aged Above 50 | 1325 | 1380 | 1847 | |
| Number of Employees Aged Below 30 | 46066 | 45405 | 44019 | |
| Number of Employees in Central China | 12832 | 12361 | 11691 | |
| Number of Employees in Northeast China | 5273 | 5217 | 5114 | |
| Number of Female Employees | 59405 | 62085 | 63807 | |
| Number of Male Employees | 46014 | 47580 | 48094 | |
| Number of New Employees | 10639 | 10611 | 9119 | |
| Number of New Employees (Above 50) | 35 | 42 | 47 | |
| Number of New Employees (Aged 30-50) | 1308 | 1147 | 987 | |
| Number of New Employees (Aged Below 30) | 9296 | 9422 | 8085 | |
| Number of New Employees (Female) | 6162 | 6505 | 5365 | |
| Number of New Employees (Male) | 4477 | 4106 | 3754 | |
| Number of New Employees (On-campus Recruitment) | 6276 | 7113 | 6365 | |
| Number of New Employees (Social Recruitment) | 4363 | 3498 | 2754 | |
| Number of Total Employees | 112999 | 116529 | 117201 | |
| Percentage of Female Employees | % | 56 | 57 | 57 |
| Percentage of Male Employees | % | 44 | 43 | 43 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 4.76 | 4.13 | 3.18 |
| Turnover Rate of Employees Aged Above 50 | % | 3.46 | 1.94 | 2.15 |
| Turnover Rate of Employees Aged Below 30 | % | 10.73 | 10.22 | 10.37 |
| Turnover Rate of Female Employees | % | 6.65 | 6.32 | 5.82 |
| Turnover Rate of Male Employees | % | 7.78 | 6.7 | 5.59 |
| Turnover Rate of Total Employees | % | 7.14 | 6.61 | 5.72 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | day | 1886 | 2310 | 4472 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 98 | 98.12 | 98.08 |
| Percentage of New Employees Trained | % | 100 | ||
| Percentage of Trained Female Employees | % | 98 | 98.2 | 98.14 |
| Percentage of Trained Male Employees | % | 98 | 97.99 | 97.99 |
| Percentage of Trained Senior Management | % | 100 | 100 | 100 |
| Total Cost of Training | RMB | 526830000 | 547770000 | 596810000 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Female) | hour |
| Average Training Hours (General Staff) | hour |
| Average Training Hours (Male) | hour |
| Average Training Hours (Middle Management) | hour |
| Average Training Hours (Senior Management) | hour |
| Average Training Hours per Employee | hour |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Hong Kong | 30 | 22 | 10 | |
| Number of Suppliers in Mainland China | 498 | 454 | 451 | |
| Number of Total Suppliers | 528 | 476 | 461 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Supplier Social Responsibility Training Sessions | 4 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Complaints Handling Rate | % | 100 |
| Total Number of Customer Complaints | complaints | 207013 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Employee Coverage of Data Security Training | % | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Anti-corruption Training Coverage among Directors and Management | % | 100 | ||
| Coverage of Anti-corruption Training for Employees | % | 95.57 | ||
| Number of Anti-corruption Training Session | sessions | 1258 | ||
| Number of Attendance for Anti-corruption Training | person-times | 1500 | 1880 | 2526 |
| Number of Directors and Management Attendance for Anti-corruption Training | persons | 24 | ||
| Number of General Employees Attendance for Anti-corruption Training | persons | 81834 | ||
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons | 164000 | 197900 | 323400 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Cash Donations | RMB100 million | 0.95 | 1.15 | 1.27 |
| Total Public Welfare Donations | RMB100 million | 0.95 | 1.15 | 1.27 |