China CITIC Bank Corporation Limited 2024 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Annual reduction of nitrogen oxides (NOx) (Shanghai Branch Green Asset-Backed Commercial Paper projects) | tons | 30.16 | 66 | ||
| Annual reduction of particulate matter (PM) (Shanghai Branch Green Asset-Backed Commercial Paper projects) | tons | 3.85 | 66 | ||
| Annual reduction of sulfur dioxide (SO2) (Shanghai Branch Green Asset-Backed Commercial Paper projects) | tons | 18.82 | 66 | ||
| Nitrogen oxides emissions | Tons | 0.45 | 0.34 | 0.6 | 212 |
| Total exhaust emissions | Tons | 0.47 | 0.36 | 0.62 | 212 |
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 |
|---|---|---|---|---|---|
| Annual reduction of CO2 (Shanghai Branch Green Asset-Backed Commercial Paper projects) | tons | 151200 | 66 | ||
| Chinese Certified Emission Reduction (CCER) used as collateral in Shanghai Branch CCER Pledge Loan Project | tons | 50800 | 63 | ||
| Cumulative carbon reductions quantified by CITIC Carbon Account | tons | 180000 | 68 | ||
| Diesel greenhouse gas emissions (Scope 1) | Tons of CO₂ equivalent | 4.64 | 4.77 | 333.53 | 210 |
| Gasoline greenhouse gas emissions (Scope 1) | Tons of CO₂ equivalent | 3493.93 | 3268.51 | 2496.77 | 210 |
| Greenhouse gas emissions (Scope 1) | Tons of CO₂ equivalent | 7919.26 | 7706.45 | 6777.72 | 210 |
| Greenhouse gas emissions (Scope 2) | Tons of CO₂ equivalent | 184814.64 | 195346.54 | 207055.23 | 211 |
| Greenhouse gas emissions (Scope 3 Category 1): Purchased goods and services | Tons of CO₂ equivalent | 4600.73 | 211 | ||
| Greenhouse gas emissions (Scope 3 Category 6): Business travel | Tons of CO₂ equivalent | 17479.87 | 212 | ||
| Greenhouse gas emissions (Scope 3) | Tons of CO₂ equivalent | 22080.6 | 211 | ||
| Per capita greenhouse gas (Scope 1 + Scope 2) emissions | tons of carbon dioxide equivalent per person | 3.27 | 43 | ||
| Per capita greenhouse gas emissions (Scope 1 + Scope 2) | Tons of CO₂ equivalent /person, Tons of CO₂ equivalent/person | 3.15 | 3.04 | 3.27 | 17, 210 |
| Sulfur dioxide emissions | Tons | 0.02 | 0.02 | 0.02 | 212 |
| Total greenhouse gas emissions (Scope 1 + Scope 2) | Tons of CO₂ equivalent, tons of carbon dioxide equivalent | 192733.9 | 203052.99 | 213800 | 17, 43, 210 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Per capita generation of hazardous waste | Tons/person | 0.0007 | 0.0006 | 0.0014 | 214 |
| Total hazardous waste | Tons | 42.24 | 40.36 | 90.76 | 214 |
| Total waste generated | Tons | 1187.48 | 1281.26 | 2191.27 | 214 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Per capita generation of non-hazardous waste | Tons/person | 0.0187 | 0.0186 | 0.0321 | 214 |
| Total non-hazardous waste | Tons | 1145.24 | 1240.9 | 2100.51 | 214 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Carbon emission reduction loans issued | RMB billion | 15.587 | 65 |
| Carbon neutrality bonds underwritten | RMB billion | 4.258 | 65 |
| Number of financial and low-carbon consumption scenarios covered by CITIC Carbon Account | 19 | 68 | |
| Shenyang Branch carbon emission reduction loan for distributed photovoltaic power generation | RMB million | 33.85 | 65 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Annual reduction of standard coal consumption (Shanghai Branch Green Asset-Backed Commercial Paper projects) | tons | 68200 | 66 | ||
| Diesel | Tons of standard coal | 2.14 | 2.2 | 154.1 | 213 |
| Direct energy consumption | Tons of standard coal | 4378.37 | 4279.19 | 3768.34 | 213 |
| Dual-linked ESG syndicated loan in green building sector (Nanjing Branch, Changzhou, Jiangsu Province) | million RMB | 335 | 62 | ||
| Gasoline | Tons of standard coal | 1660.99 | 1553.83 | 1187.18 | 213 |
| Green operating leases achieved by CITIC Financial Leasing | billion RMB | 8.884 | 70 | ||
| Indirect energy consumption | Tons of standard coal | 43201.24 | 45822.06 | 50257.61 | 213 |
| Liquefied petroleum gas | Tons of CO₂ equivalent, Tons of standard coal | 69.2 | 34.32 | 16.4 | 211, 213 |
| Natural gas | Tons of CO₂ equivalent, Tons of standard coal | 4351.49 | 2688.85 | 2410.66 | 211, 213 |
| Number of branches relocated using Huiju Big Data Site Selection Platform | 80 | 97 | |||
| Number of rural households benefited by household photovoltaic leasing | 60000 | 70 | |||
| Per capita energy consumption | Tons of standard coal /person | 0.78 | 0.75 | 0.83 | 212 |
| Purchased electricity | Tons of CO₂ equivalent, Tons of standard coal | 34861.52 | 36458.2 | 174050.4 | 211, 213 |
| Purchased heat | Tons of CO₂ equivalent, Tons of standard coal | 8339.72 | 30188.31 | 10238.17 | 211, 213 |
| Total energy consumption | Tons of standard coal | 47579.61 | 50101.25 | 54025.95 | 212 |
| Total funds raised from green bond-linked structured deposit products | RMB billion | 9.923 | 67 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Per capita water consumption | Tons/person | 25.94 | 24.83 | 25.49 | 213 |
| Total water consumption | Tons | 1584866.34 | 1660727.64 | 1668982.31 | 213 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Outstanding green financial bonds within China | RMB billion | 40 | 65 |
| Proportion of green financial leasing business in total leasing asset balance | % | 61.28 | 70 |
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 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|
| Cumulative loans disbursed by Tianjin Branch for Seawater Desalination Project | RMB | 110000000 | 64 | |
| Percentage of newly installed or replaced water equipment in headquarters building meeting water-saving standards | % | 100% | 76 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of reused furniture items | Units | 18609 | 214 |
| Packaging materials | Tons of CO₂ equivalent | 840.58 | 211 |
| Paper | Tons of CO₂ equivalent | 2643.85 | 211 |
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 |
|---|---|---|---|
| Digital and intelligent coverage rate of the Bank’s core business processes | % | 57 | 45 |
| Green building loan growth (subsector) | billion RMB | 10 | 62 |
| London Branch offshore green bond issuance | USD million | 300 | 65 |
| Number of green bond-linked structured deposit products issued | 125 | 67 | |
| Others | Tons of CO₂ equivalent | 1116.29 | 211 |
| Solar energy facility construction and operation loan growth (subsector) | billion RMB | 10 | 62 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Cumulative number of accounts private pension accounts | 10000 accounts | 30.25 | 92.71 | 218.82 | 16, 216 |
| Employee satisfaction rated as satisfactory | % | 94.25 | 158 | ||
| Employees in central China | Persons | 7959 | 8404 | 8483 | 218 |
| Employees in northeast China | Persons | 2358 | 2495 | 2399 | 218 |
| Employees in the Bohai Rim region | Persons | 15995 | 18058 | 17548 | 218 |
| Employees in the Pearl River Delta and West Strait region | Persons | 12781 | 13502 | 13253 | 218 |
| Employees in the Yangtze River Delta region | Persons | 11850 | 13155 | 13123 | 218 |
| Employees in western China | Persons | 7594 | 8619 | 7993 | 218 |
| Increase in number of corporate pension clients from previous year | 405 | 103 | |||
| Labor contract signing rate | % | 100 | 100 | 100 | 219 |
| Number of Board of Supervisors meetings convened | meetings | 12 | 181 | ||
| Number of branches operated across major and medium-sized cities in Chinese mainland | 1470 | 97 | |||
| Number of corporate pension clients | 3044 | 103 | |||
| Number of directors assessed as 'Competent' in performance evaluation | directors | 9 | 181 | ||
| Number of first secretaries dispatched | first secretaries | 30 | 163 | ||
| Number of independent directors on Board of Directors | 4 | 179 | |||
| Number of major and medium-sized cities with branches in Chinese mainland | 153 | 97 | |||
| Number of new female employees | Persons | 2660 | 4881 | 1912 | 219 |
| Number of new male employees | Persons | 2202 | 3706 | 2093 | 219 |
| Number of technology personnel | Persons | 4762 | 5626 | 5832 | 16, 217 |
| Proportion of ethnic minority employees | % | 4.55 | 4.79 | 4.69 | 220 |
| Proportion of female employees | % | 54.7 | 54.22 | 54.85 | 17, 220 |
| Proportion of independent directors on Board of Directors | % | 44 | 179 | ||
| Proportion of technology personnel | % | 8.41 | 8.91 | 217 | |
| Proportion of technology personnel (excluding subsidiaries) | % | 8.4 | 217 | ||
| Ratio of localized executives at the Head Office | % | 100 | 100 | 100 | 219 |
| Scale of enterprise annuity custody | billion RMB | 188.751 | 103 | ||
| Scale of pension custody | RMB billion, billion RMB | 507.723 | 44, 103 | ||
| Social insurance coverage rate | % | 100 | 100 | 100 | 219 |
| Total assets | RMB100 million, trillion RMB | 85475.43 | 90524.84 | 95327.22 | 6, 16 |
| Total number of contract employees | Persons | 60314 | 66057 | 64453 | 218 |
| Total number of dispatched and contracted employees | Persons | 789 | 834 | 1013 | 219 |
| Total number of domestic employees | Persons | 58537 | 64233 | 62799 | 218 |
| Total number of employees | Persons | 61103 | 66891 | 65466 | 17, 217 |
| Total number of employees aged 30 and below | Persons | 14501 | 16219 | 13908 | 218 |
| Total number of employees aged 31-50 | Persons | 42853 | 46605 | 47153 | 218 |
| Total number of employees aged 51 and above | Persons | 3749 | 4067 | 4405 | 218 |
| Total number of ethnic minority employees | Persons | 2780 | 3204 | 3073 | 220 |
| Total number of female employees | Persons | 33425 | 36269 | 35910 | 217 |
| Total number of frontline employees | Persons | 54000 | 59647 | 58377 | 219 |
| Total number of male employees | Persons | 27678 | 30622 | 29556 | 217 |
| Total number of management cadres | Persons | 7103 | 7244 | 7089 | 219 |
| Total number of new employees | Persons | 4862 | 8587 | 4005 | 219 |
| Total number of overseas employees | Persons | 2566 | 2658 | 2667 | 218 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate | % | 3.29 | 2.58 | 2.14 | 220 |
| Female employee turnover rate | % | 2.91 | 2.4 | 2.12 | 220 |
| Male employee turnover rate | % | 3.75 | 2.81 | 2.16 | 220 |
| Operating income | RMB100 million | 2111.09 | 2055.7 | 2132.23 | 16 |
| Turnover rate in central China | % | 3.14 | 2.06 | 1.57 | 221 |
| Turnover rate in northeast China | % | 2.85 | 1.53 | 2.45 | 221 |
| Turnover rate in the Bohai Rim region | % | 2.33 | 1.42 | 1.09 | 221 |
| Turnover rate in the Pearl River Delta and West Strait region | % | 4.11 | 3.64 | 3.19 | 221 |
| Turnover rate in the Yangtze River Delta region | % | 3.8 | 3.12 | 2.8 | 221 |
| Turnover rate in western China | % | 3.56 | 3.29 | 2.33 | 221 |
| Turnover rate of employees aged 30 and below | % | 5.14 | 4.47 | 4.53 | 220 |
| Turnover rate of employees aged 31 -50 | % | 2.87 | 2.12 | 1.55 | 220 |
| Turnover rate of employees aged 51 and above | % | 0.58 | 0.29 | 0.32 | 221 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of work-related deaths at the Head Office | Persons | 1 | 221 | ||
| Number of work-related injuries at the Head Office | Persons | 2 | 9 | 13 | 221 |
| Work-related death rate at the Head Office | % | 0.0016 | 221 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Work hours lost due to work-related injuries at the Head Office | Days | 13.43 | 84.5 | 391 | 221 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of Digital Skills Bootcamps conducted (offline and online) | 8 | 154 | |||
| Number of induction training sessions for newly recruited employees on consumer rights protection | sessions | 12 | 132 | ||
| Number of mentoring manuals developed for frontline employee roles | 5 | 154 | |||
| Number of online courses in C.A.N. Plan (Version 2.0) for new employee onboarding | 20 | 154 | |||
| Number of training sessions for senior and mid-level management on consumer rights protection | sessions | 6 | 132 | ||
| Per capita number of training participants | Times | 14.91 | 13.35 | 19.45 | 222 |
| Percentage of female employees participating in training | % | 100 | 100 | 100 | 223 |
| Percentage of male employees participating in training | % | 100 | 100 | 100 | 223 |
| Percentage of management employees participating in training | % | 100 | 100 | 100 | 223 |
| Percentage of non-management employees participating in training | % | 100 | 100 | 100 | 223 |
| Total number of training participants | Person-Times | 850344 | 796795 | 1190752 | 222 |
| Total training cost | RMB10000 | 7333.07 | 17038.55 | 17342.47 | 17, 222 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Duration of training per female employee | Days/person | 10 | 10 | 20 | 222 |
| Duration of training per male employee | Days/person | 10 | 9 | 20 | 222 |
| Duration of training per management employee | Days/person | 6 | 6 | 23 | 222 |
| Duration of training per non-management employee | Days/person | 18 | 20 | 20 | 222 |
| Per capita training cost | RMB | 1285.96 | 2854.36 | 2833.32 | 222 |
| Person-times grassroots rural cadres and technicians trained | person-times | 413 | 163 | ||
| Total class hours in C.A.N. Plan (Version 2.0) for new employee onboarding | class hours | 30 | 154 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Balance of agriculture-related loans | RMB100 million | 4869.3 | 5604.46 | 4459.18 | 216 |
| Balance of corporate loans for pension-related industries | RMB billion | 50.547 | 44 | ||
| Balance of green credit | RMB100 million, billion RMB | 3340.82 | 4590.22 | 600.565 | 16, 43 |
| Balance of inclusive loans to micro and small businesses | RMB billion, RMB100 million | 4459.92 | 5450.76 | 599.825 | 16, 44, 93, 216 |
| Balance of loans for precision assistance with financial services | RMB billion | 38.419 | 97 | ||
| Balance of loans to micro and small businesses | RMB billion | 1655.863 | 93 | ||
| Balance of loans to precision financial assistance | RMB100 million | 328.33 | 369.82 | 384.19 | 216 |
| Balance of loans to science and technology enterprises | RMB100 million | 3449.61 | 4156.77 | 5643.72 | 16 |
| Balance of loans to tech enterprises | RMB billion | 564.372 | 44 | ||
| CITIC aiBank micro and small business clients served | clients | 624700 | 93 | ||
| CITIC aiBank outstanding inclusive loans to micro and small enterprises | RMB billion | 9.101 | 93 | ||
| Green credit balance | billion RMB | 600.565 | 62 | ||
| Increase in balance of loans for precision assistance with financial services over previous year | RMB billion | 1.438 | 97 | ||
| Increase in balance of loans to micro and small businesses from previous year | RMB billion | 190.606 | 93 | ||
| Increase in number of branches | 19 | 97 | |||
| Increase in number of customers with outstanding inclusive loans to micro and small businesses from previous year | customers | 26800 | 93 | ||
| Increase in number of customers with outstanding loans to micro and small businesses from previous year | customers | 28300 | 93 | ||
| Number of county-level outlets (including small and micro branch) | 161 | 97 | |||
| Number of online procurement projects executed | 1535 | 80 | |||
| Number of outlets | Units | 1428 | 1451 | 1470 | 16, 223 |
| Number of outlets in counties | Units | 154 | 158 | 161 | 16, 223 |
| Number of outlets in five ethnic minority regions | 71 | 97 | |||
| Number of outlets in four remote areas | 67 | 97 | |||
| Number of overseas suppliers | Units | 20 | 20 | 20 | 225 |
| Number of private pension accounts | thousand | 2188.2 | 103 | ||
| Number of suppliers in Chinese mainland | Units | 16984 | 18402 | 19135 | 224 |
| Number of suppliers in Hong Kong, Macao, and Taiwan | Units | 30 | 41 | 45 | 225 |
| Scale of green debt financing instruments underwritten | RMB billion | 14.481 | 65 | ||
| The scale of pension custody | RMB100 million | 4262.35 | 5077.23 | 216 | |
| Total number of suppliers | Units | 17034 | 18463 | 19200 | 224 |
| Year-on-year growth rate of enterprise annuity custody | % | 14.93 | 103 | ||
| Year-on-year growth rate of private pension accounts | % | 136.04 | 103 | ||
| Year-on-year increase in CNCBI’s outstanding sustainability-linked loan balance | 66.92% | 64 | |||
| Year-on-year increase in green credit balance | % | 30.84 | 62 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Consumption-based assistance through procurement of agricultural products | RMB | 32198300 | 164 | ||
| Green bond investments balance | RMB billion | 17 | 67 | ||
| Green debt financing instruments underwritten | 55 | 65 | |||
| Green leasing deployed in household photovoltaic sector | billion RMB | 6 | 70 | ||
| Loan amount granted in Shanghai Branch CCER Pledge Loan Project | million RMB | 2 | 63 | ||
| Supplier review coverage rate | % | 100 | 100 | 100 | 225 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Trading volume of non-financial enterprise green-themed debt financing instruments | RMB billion | 14.38 | 67 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Customer satisfaction with credit card in calls | % | 98.52 | 98.56 | 98.76 | 16, 223 |
| Customer service satisfaction with debit card through all channels | % | 98.3 | 98.54 | 98.41 | 16, 223 |
| Increase in pension custody from previous year | billion RMB | 81.488 | 103 | ||
| Number of Consumer Rights Protection Committee meetings convened | 4 | 179 | |||
| Number of complaints in Beijing (excluding headquarters) | cases | 14345 | 128 | ||
| Number of complaints in Changchun | cases | 3367 | 128 | ||
| Number of complaints in Changsha | cases | 4878 | 128 | ||
| Number of complaints in Chongqing | cases | 5005 | 128 | ||
| Number of complaints in Dalian | cases | 2316 | 128 | ||
| Number of complaints in Fuzhou | cases | 5258 | 128 | ||
| Number of complaints in Guangzhou | cases | 17092 | 128 | ||
| Number of complaints in Guiyang | cases | 2383 | 128 | ||
| Number of complaints in Hangzhou | cases | 12342 | 128 | ||
| Number of complaints in Hefei | cases | 5315 | 128 | ||
| Number of complaints in Jinan | cases | 11998 | 128 | ||
| Number of complaints in Kunming | cases | 3005 | 128 | ||
| Number of complaints in Lanzhou | cases | 1555 | 128 | ||
| Number of complaints in Nanjing | cases | 14484 | 128 | ||
| Number of complaints in Ningbo | cases | 2185 | 128 | ||
| Number of complaints in Shenyang | cases | 5265 | 128 | ||
| Number of complaints in Shenzhen | cases | 13561 | 128 | ||
| Number of complaints in Shijiazhuang | cases | 10814 | 128 | ||
| Number of complaints in Taiyuan | cases | 3924 | 128 | ||
| Number of complaints in Tianjin | cases | 4509 | 128 | ||
| Number of complaints in Urumqi | cases | 1784 | 128 | ||
| Number of complaints in Xiamen | cases | 1715 | 128 | ||
| Number of complaints in Yinchuan | cases | 1369 | 128 | ||
| Number of complaints in Zhengzhou | cases | 13469 | 128 | ||
| Number of customer complaints in Chengdu | 6890 | 129 | |||
| Number of customer complaints in Haikou | 1106 | 129 | |||
| Number of customer complaints in Harbin | 3142 | 129 | |||
| Number of customer complaints in Hohhot | 3195 | 129 | |||
| Number of customer complaints in Lhasa | 143 | 129 | |||
| Number of customer complaints in Nanchang | 3250 | 129 | |||
| Number of customer complaints in Nanning | 3060 | 129 | |||
| Number of customer complaints in Qingdao | 9752 | 129 | |||
| Number of customer complaints in Shanghai | 10030 | 129 | |||
| Number of customer complaints in Suzhou | 3219 | 129 | |||
| Number of customer complaints in Wuhan | 8892 | 129 | |||
| Number of customer complaints in Xining | 509 | 129 | |||
| Number of customer complaints in Xi’an | 5768 | 129 | |||
| Number of customer complaints received through all channels | Units | 322165 | 267424 | 256486 | 224 |
| Number of customers with outstanding inclusive loans to micro and small businesses | customers | 310400 | 93 | ||
| Number of customers with outstanding inclusive micro and small businesses loans | households | 310400 | 44 | ||
| Number of customers with outstanding loans | 987500 | 97 | |||
| Number of customers with outstanding loans to micro and small businesses | customers | 328600 | 93 | ||
| Number of self-service devices | Set | 4967 | 4482 | 4456 | 223 |
| Number of users of 'CITIC Carbon Account' | million households | 21.5 | 43 | ||
| Number of users served by CITIC Carbon Account | users | 21500000 | 68 | ||
| Number of views for annual and semi-annual briefings (online live streaming + on-site meetings) | views | 10000 | 185 | ||
| Percentage of complaints related to credit card business | 47.67% | 128 | |||
| Percentage of complaints related to debit card account opening/closing and usage-related services | 27.17% | 128 | |||
| Percentage of complaints related to personal loan business | 14.26% | 128 | |||
| Satisfaction of debit card customer service channels | % | 98.41 | 129 | ||
| Satisfaction of incoming call customers of credit cards | % | 98.76 | 129 | ||
| Total number of complaints received by the bank | cases | 256486 | 128 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Cumulative valid patents | Units | 64 | 168 | 364 | 217 |
| Number of copyright registrations secured | 317 | 205 | |||
| Number of invention patent applications | Units | 150 | 242 | 346 | 217 |
| Number of invention patents applied to core business | Units | 42 | 113 | 259 | 217 |
| Number of invention patents granted | Units | 35 | 71 | 147 | 217 |
| Number of patent grants obtained | 198 | 205 | |||
| Year-on-year growth in copyright registrations | % | 74.18 | 205 | ||
| Year-on-year increase in patent grants | % | 86.79 | 205 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Complaint ticket 15-day resolution rate | % | 99.92 | 45 |
| Complaint ticket first contact timeliness rate | % | 98.84 | 45 |
| Year-on-year increase in number of review opinions put forward | percent | 25.19% | 117 |
| Year-on-year increase in number of reviews of the consumer rights protection of the Bank | percent | 21.63% | 117 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Adoption rate of the review opinions on the consumer rights protection | percent | 100% | 117 | ||
| Annual data security risk assessment frequency | 1 | 45 | |||
| Investment in information technology | RMB10000 million | 87.49 | 121.53 | 109.45 | 216 |
| Number of customers protected from fraud | customers | 1400 | 131 | ||
| Number of employees participating in consumer rights protection training | employees | 60000 | 132 | ||
| Number of reviews of the consumer rights protection of the Bank | 24398 | 117 | |||
| Number of specialized training sessions for employees in consumer rights protection positions | sessions | 13 | 132 | ||
| Pass rate of consumer rights protection examination | % | 99.95 | 132 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Number of proposals reviewed by Board of Supervisors | proposals | 28 | 181 |
| The Banker UK ranking in Top 1000 World Banks (tier-one capital) | 18 | 6 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Funds protected from fraud | million RMB | 354 | 131 |
| Number of A-share class meetings held | meetings | 2 | 185 |
| Number of H-share class meetings held | meetings | 2 | 185 |
| Number of committee meetings convened by Audit and Related Party Transactions Control Committee | meetings | 10 | 178 |
| Number of committee meetings convened by Nomination and Remuneration Committee | meetings | 7 | 178 |
| Number of committee meetings convened by Risk Management Committee | meetings | 7 | 178 |
| Number of committee meetings convened by Strategic and Sustainable Development Committee | meetings | 8 | 178 |
| Number of local police departments collaborated with for anti-fraud | departments | 35 | 131 |
| Number of proposals reviewed and approved by Consumer Rights Protection Committee | 4 | 179 | |
| Number of proposals reviewed by Audit and Related Party Transactions Control Committee | proposals | 28 | 178 |
| Number of proposals reviewed by Nomination and Remuneration Committee | proposals | 21 | 178 |
| Number of proposals reviewed by Risk Management Committee | proposals | 25 | 178 |
| Number of review opinions put forward | 7947 | 117 | |
| Number of senior management personnel participating in anti-corruption policies and procedures at head office | persons | 9 | 204 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of anti-money laundering training | Times | 1110 | 1256 | 1122 | 17, 225 |
| Number of employees at the head office participating in anti-commercial bribery and anti-corruption training | persons | >6000 | 204 | ||
| Number of management cadres at the head office participating in anti-commercial bribery and anti-corruption training | persons | >360 | 204 | ||
| Percentage of independent directors | % | 36 | 44 | 44 | 225 |
| Percentage of management cadres at the head office participating in anti-commercial bribery and anti-corruption training among all management cadres at the head office | % | 100 | 204 | ||
| Percentage of senior management personnel participating in anti-corruption policies and procedures among all senior management personnel at the head office | % | 100 | 204 | ||
| Proportion of independent directors | % | 36 | 44 | 44 | 17 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Brand Finance UK ranking in Top 500 Banking Brands | 19 | 6 | |||
| Green organic agriculture loan growth (subsector) | billion RMB | 10 | 62 | ||
| Increment in the number of customers with outstanding inclusive micro and small businesses loans | households | 26800 | 44 | ||
| Medical Assistance Program - number of children with CHD supported | children | 109 | 164 | ||
| Membership of Green Trust Together low-carbon ecosystem platform | organizations | 27 | 68 | ||
| Number of Low-Carbon Wealth Cards issued | 48900 | 70 | |||
| Number of Shareholders’ General Meetings held | meetings | 3 | 185 | ||
| Number of assistance projects implemented | projects | 113 | 163 | ||
| Number of beneficiaries of philanthropy and related activities | 10000 Person-Times, 10000 Person-times | 12.21 | 30.1 | 64.15 | 17, 224 |
| Number of briefings received by Audit and Related Party Transactions Control Committee | briefings | 10 | 178 | ||
| Number of briefings received by Board of Supervisors | briefings | 70 | 181 | ||
| Number of briefings received by Risk Management Committee | briefings | 22 | 178 | ||
| Number of briefings received by Strategic and Sustainable Development Committee | briefings | 2 | 178 | ||
| Number of cadres dispatched to assist rural areas | cadres | 82 | 163 | ||
| Number of editions of 'Warmth for Children' charitable wealth management product issued | editions | 13 | 168 | ||
| Number of exemplary villages selected for rural revitalization | villages | 5 | 163 | ||
| Number of festive activities organized for employees | activities | 14 | 161 | ||
| Number of financial education and publicity activities | Times | 10340 | 12570 | 12432 | 17, 224 |
| Number of outlets with barrier-free access | Units | 1210 | 1233 | 1252 | 16, 223 |
| Number of philanthropic projects and related activities | Units | 210 | 219 | 253 | 17, 224 |
| Number of proposals reviewed by Strategic and Sustainable Development Committee | proposals | 21 | 178 | ||
| Number of strategic partnerships established by 'Warmth for Children' program | partnerships | 9 | 168 | ||
| Participants engaged in Green Consumption campaigns | participants | 38000000 | 68 | ||
| Proportion of the Group’s information technology investment to its operating income | % | 5.13 | 45 | ||
| Three-year bilateral SLL to construction company by CNCBI | HKD | 1000000000 | 64 | ||
| Three-year syndicated SLL to mining company by CNCBI | RMB | 1500000000 | 64 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Applications rolled over for Inclusive Micro and Small Enterprise Loan Support Tool | RMB billion | 3 | 93 | ||
| Educational Assistance - funds donated to support high school students in New Great Wall High School Self-Strengthening Class | RMB | 2000000 | 164 | ||
| Educational Assistance - non-repayable funds donated | RMB | 2636000 | 164 | ||
| Educational Assistance - number of financially challenged high school students supported in New Great Wall High School Self-Strengthening Class | students | 1000 | 164 | ||
| Educational Assistance - number of students directly and indirectly benefited | students | 18550 | 164 | ||
| External funding mobilized | million RMB | 14.9369 | 163 | ||
| Funds raised in 'Love Gathers, Warmth Delivers' Charity Donation Campaign | RMB | 82100 | 167 | ||
| Grants donated | million RMB | 5.4418 | 163 | ||
| Green financial bonds issued on National Interbank Bond Market | RMB billion | 20 | 65 | ||
| Green financial leasing newly deployed by CITIC Financial Leasing | billion RMB | 16.711 | 70 | ||
| Increase in balance of inclusive loans to micro and small businesses from previous year | RMB billion | 54.749 | 93 | ||
| Interest rate reduction on inclusive loans to micro and small businesses | percentage points | -0.33 | 93 | ||
| Items of clothing and daily necessities collected in 'Love Gathers, Warmth Delivers' Charity Donation Campaign | items | 11500 | 167 | ||
| Managed assets of 'Warmth for Children' charitable wealth management program | billion RMB | 10.366 | 168 | ||
| Medical Assistance Program - funds donated for children with congenital heart disease | RMB | 1000000 | 164 | ||
| Non-repayable funds invested under 2024 Assistance Agreement | RMB | 420000 | 164 | ||
| Number of art kits distributed to rural children | art kits | 14000 | 168 | ||
| Number of charitable donations generated by 'Warmth for Children' product | donations | 4 | 168 | ||
| Number of drinking water dispensers installed | 400 | 78 | |||
| Number of employees participating in CNCBI green initiatives | employees | 400 | 83 | ||
| Number of employees receiving support for life events | employees | 60391 | 161 | ||
| Number of households benefited | households | 101900 | 163 | ||
| Number of individuals benefited | individuals | 334000 | 163 | ||
| Number of individuals benefited by CNCBI green initiatives | individuals | 6000 | 83 | ||
| Number of person-times receiving support for difficulties, assistance program cadres, and disadvantaged model workers | person-times | 207 | 161 | ||
| Number of primary school students benefited by 'Warmth for Children' project | students | 17000 | 168 | ||
| Number of science and innovation kits distributed to paired assistance regions | science and innovation kits | 2674 | 168 | ||
| Number of volunteer participants | Person-Times | — | 8292 | 13014 | 224 |
| Outstanding balance of green financial leasing business | billion RMB | 34.34 | 70 | ||
| Proceeds paid to farmers from household photovoltaic leasing | million RMB | 38.4836 | 70 | ||
| Proportion of investment in information technology to operating income | % | 4.14 | 5.9 | 5.13 | 217 |
| Repayable funds invested under 2024 Assistance Agreement | RMB | 856000000 | 164 | ||
| Social contribution value per share | RMB | 5.51 | 167 | ||
| Special-purpose relending instruments secured by CITIC aiBank | RMB million | 80 | 93 | ||
| Total amount of charitable donations from 'Warmth for Children' product | million RMB | 4.8841 | 168 | ||
| Total amount of consumption-based assistance purchases | RMB10000 | 4590.26 | 5299.93 | 5948.1 | 224 |
| Total assistance amount for employees experiencing life events | million RMB | 21.0928 | 161 | ||
| Total donation amount by the Bank (including subsidiaries) | RMB | 9545130.95 | 167 | ||
| Total donations | RMB10000 | 855.04 | 1173.51 | 954.51 | 17, 224 |
| Total support amount for employees facing difficulties, assistance program cadres, and disadvantaged model workers | million RMB | 1.335 | 161 | ||
| Year-on-year increase in trading volume of non-financial enterprise green-themed debt financing instruments | 23.12% | 67 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| NOₓ Emissions | Tons | 0.45 | 0.34 | 0.6 |
| SOₓ Emissions | Tons | 0.02 | 0.02 | 0.02 |
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) | Tons of CO₂ equivalent | 7919.26 | 7706.45 | 6777.72 |
| Indirect Energy Emissions (Scope 2) | Tons of CO₂ equivalent | 184814.64 | 195346.54 | 207055.23 |
| Mobile Combustion Emissions | Tons of CO₂ equivalent | 3493.93 | 3268.51 | 2496.77 |
| Scope 3 GHG Emissions (Business Travel) | Tons of CO₂ equivalent | 17479.87 | ||
| Scope 3 GHG Emissions (Purchased Goods/Services) | Tons of CO₂ equivalent | 4600.73 | ||
| Total GHG Emissions | Tons of CO₂ equivalent | 192733.9 | 203052.99 | 213832.95 |
| Total GHG Emissions Intensity (By Employee) | Tons of CO₂ equivalent/person | 3.15 | 3.04 | 3.27 |
| Total Other Indirect Energy Emissions (Scope 3) | Tons of CO₂ equivalent | 22080.6 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Hazardous Waste | Tons | 42.24 | 40.36 | 90.76 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | Tons | 1145.24 | 1240.9 | 2100.51 |
| Paper Waste | Tons of CO₂ equivalent | 2643.85 | ||
| Total Non-Hazardous Waste Intensity (By Employee) | Tons/person | 0.0187 | 0.0186 | 0.0321 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Diesel Fuel Consumption | Tons of standard coal | 2.14 | 2.2 | 154.1 |
| Gasoline Consumption | Tons of standard coal | 1660.99 | 1553.83 | 1187.18 |
| LPG Consumption | Tons of standard coal | 40.54 | 34.32 | 16.4 |
| Natural Gas Consumption | Tons of standard coal | 2674.69 | 2688.85 | 2410.66 |
| Purchased Electricity | Tons of standard coal | 34861.52 | 36458.2 | 40019.44 |
| Purchased Heating | Tons of standard coal | 8339.72 | 9363.86 | 10238.17 |
| Total Direct Energy Consumption | Tons of standard coal | 4378.37 | 4279.19 | 3768.34 |
| Total Energy Consumption | Tons of standard coal | 47579.61 | 50101.25 | 54025.95 |
| Total Indirect Energy Consumption | Tons of standard coal | 43201.24 | 45822.06 | 50257.61 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | tons | 1584866.34 | 1660727.64 | 1668982.31 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | RMB billion | 40 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Packaging Materials Consumed | Tons of CO₂ equivalent | 840.58 |
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 | Persons | 42853 | 46605 | 47153 |
| Number of Employees Aged Above 50 | Persons | 3749 | 4067 | 4405 |
| Number of Employees Aged Below 30 | Persons | 14501 | 16219 | 13908 |
| Number of Employees in Central China | Persons | 7959 | 8404 | 8483 |
| Number of Employees in Northeast China | Persons | 2358 | 2495 | 2399 |
| Number of Employees in Overseas | Persons | 2566 | 2658 | 2667 |
| Number of Employees in West China | Persons | 7594 | 8619 | 7993 |
| Number of Employees in the Bohai Rim region | Persons | 15995 | 18058 | 17548 |
| Number of Employees in the Pearl River Delta and West Strait region | Persons | 12781 | 13502 | 13253 |
| Number of Employees in the Yangtze River Delta region | Persons | 11850 | 13155 | 13123 |
| Number of Female Employees | Persons | 33425 | 36269 | 35910 |
| Number of Male Employees | Persons | 27678 | 30622 | 29556 |
| Number of New Employees | Persons | 4862 | 8587 | 4005 |
| Number of New Employees (Female) | Persons | 2660 | 4881 | 1912 |
| Number of New Employees (Male) | Persons | 2202 | 3706 | 2093 |
| Number of Total Employees | Persons | 61103 | 66891 | 65466 |
| Percentage of Female Employees | % | 54.7 | 54.22 | 54.85 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 2.87 | 2.12 | 1.55 |
| Turnover Rate of Employees Aged Above 50 | % | 0.58 | 0.29 | 0.32 |
| Turnover Rate of Employees Aged Below 30 | % | 5.14 | 4.47 | 4.53 |
| Turnover Rate of Employees in Central China | % | 3.14 | 2.06 | 1.57 |
| Turnover Rate of Employees in Northeast China | % | 2.85 | 1.53 | 2.45 |
| Turnover Rate of Employees in West China | % | 3.56 | 3.29 | 2.33 |
| Turnover Rate of Female Employees | % | 2.91 | 2.4 | 2.12 |
| Turnover Rate of Male Employees | % | 3.75 | 2.81 | 2.16 |
| Turnover Rate of Total Employees | % | 3.29 | 2.58 | 2.14 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Work-related Fatalities | Persons | 1 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Days | 13.43 | 84.5 | 391 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Investment in Work Safety | RMB10000 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Spend on Training and Development per FTE | RMB | 1285.96 | 2854.36 | 2833.32 |
| Percentage of Employees Trained | % | 100 | 100 | 100 |
| Percentage of Trained Female Employees | % | 100 | 100 | 100 |
| Percentage of Trained General Employees | % | 100 | 100 | 100 |
| Percentage of Trained Male Employees | % | 100 | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Days/person | 10 | 10 | 20 |
| Average Training Hours (General Staff) | Days/person | 18 | 20 | 20 |
| Average Training Hours (Male) | Days/person | 10 | 9 | 20 |
| Average Training Hours (Senior Management) | Days/person | 6 | 6 | 23 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Hong Kong | Units | 30 | 41 | 45 |
| Number of Suppliers in Mainland China | Units | 16984 | 18402 | 19135 |
| Number of Suppliers in Overseas | Units | 20 | 20 | 20 |
| Number of Total Suppliers | Units | 17034 | 18463 | 19200 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaint Growth Rate | % | -17.01 | -4.1 | |
| Total Number of Customer Complaints | cases | 322165 | 267424 | 256486 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of New Patent Applications | Units | 150 | 242 | 346 |
| Number of Patents Granted | Units | 35 | 71 | 198 |
| Number of Patents Held | Units | 64 | 168 | 364 |
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 Rate of Ethical Standards and Anti-Corruption Training | % | 100 | ||
| Number of Anti-corruption Training Session | Times | 1110 | 1256 | 1122 |
| Number of Directors and Management Attendance for Anti-corruption Training | persons | >360 | ||
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons | >6000 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Investment in Education Donation | RMB | 2636000 | ||
| Number of Employees Participating in Volunteer Activities | employees | 2816 | ||
| Number of Participations in Volunteer Activities | Person-Times | None | 8292 | 13014 |
| Number of Volunteers among Employees | employees | 2816 | ||
| Total Cash Donations | RMB | 8550400 | 11735100 | 9545130.95 |
| Total In-kind Donations | items | 11500 | ||
| Total Public Welfare Donations | RMB | 8550400 | 11735100 | 9545130.95 |
| Total Volunteer Service Hours | hours | 6000 |