China CITIC Bank Corporation Limited 2020 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Loan balance to aluminum smelting industry (heavy pollution, high energy consumption and overcapacity) | RMB hundred million | 101.18 | 112.44 | 48 |
Loan balance to cement industry (heavy pollution, high energy consumption and overcapacity) | RMB hundred million | 31.7 | 72.73 | 48 |
Loan balance to coke industry (heavy pollution, high energy consumption and overcapacity) | RMB hundred million | 4.57 | 1.81 | 48 |
Loan balance to copper smelting industry (heavy pollution, high energy consumption and overcapacity) | RMB hundred million | 9.93 | 15.4 | 48 |
Loan balance to lead and zinc smelting industry (heavy pollution, high energy consumption and overcapacity) | RMB hundred million | 3.8 | 3.06 | 48 |
Loan balance to steel industry (heavy pollution, high energy consumption and overcapacity) | RMB hundred million | 206.31 | 247.24 | 48 |
Loan balance to thermal power generation industry (heavy pollution, high energy consumption and overcapacity) | RMB hundred million | 107.81 | 114.89 | 48 |
Nitrogen oxides emissions (in ton) | ton | 0.73 | 0.6 | 53 |
Sulphur dioxide emissions (in ton) | ton | 0.03 | 0.02 | 53 |
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 | 2019 | 2020 | Report Pages |
---|---|---|---|---|
A4 copy paper emissions (CO2 equivalent) | ton CO2e | 1276.97 | 55 | |
Change in greenhouse gas emissions per capita from previous year | % | -11.58 | 6 | |
Change in total greenhouse gas emissions from previous year | % | -8.86 | 6 | |
Diesel for facilities (in ton CO2 equivalents) | ton CO2 equivalents | 16.45 | 38.52 | 53 |
Direct greenhouse gas emissions (Category I) (in ton) | ton | 7118.49 | 5939.02 | 53 |
Emissions from official vehicle gasoline consumption (CO2 equivalents) | ton CO2 equivalents | 3547.13 | 53 | |
Emissions from purchased electricity (CO2 equivalents) | ton CO2 equivalents | 142200 | 53 | |
Fuel consumption of official vehicles (in ton CO2 equivalents) | ton CO2 equivalents | 3978.44 | 3547.13 | 53 |
Gas (in ton CO2 equivalents) | ton CO2 equivalents | 37.63 | 45.08 | 53 |
Greenhouse gas emissions per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 86.66 | 76.08 | 53 |
Greenhouse gas emissions per capita | tons | 2.52 | 6 | |
Greenhouse gas emissions per square meter of floor area (in ton/square meter) | ton/square meter | 0.07 | 0.06 | 53 |
Indirect greenhouse gas emissions (Category II) (in ton) | ton | 155445.73 | 142216.79 | 53 |
Liquefied petroleum gas (in ton CO2 equivalents) | ton CO2 equivalents | 209.13 | 539.54 | 53 |
Natural gas (in ton CO2 equivalents) | ton CO2 equivalents | 2876.84 | 1768.75 | 53 |
Paper statements emissions (CO2 equivalent) | ton CO2e | 2 | 55 | |
Per capita greenhouse gas emissions (in ton/person) | ton/person | 2.85 | 2.52 | 53 |
Total greenhouse gas emissions | tons | 148200 | 6 | |
Total greenhouse gas emissions (Category I and Category II) (in ton) | ton | 162564.21 | 148155.81 | 53 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Per capita hazardous wastes (in ton/person) | ton/person | 0.0054 | 0.0054 | 54 |
Total hazardous wastes (in ton) | ton | 307.11 | 320.6 | 54 |
Total hazardous wastes discharged by the Group | ton | 320.6 | 53 | |
Total hazardous wastes per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 0.16 | 0.16 | 54 |
Total hazardous wastes per square meter of floor area (in ton/square meter) | ton/square meter | 0.00014 | 0.00013 | 54 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Paper statements issued (in million) | million | 423 | 424 | 55 |
Per capita A4 copy paper purchased | packs | 9.07 | 55 | |
Per capita harmless wastes (in ton/person) | ton/person | 0.022 | 0.021 | 54 |
Total harmless wastes (in ton) | ton | 1239.14 | 1237.31 | 54 |
Total harmless wastes discharged by the Group | ton | 1237.31 | 53 | |
Total harmless wastes per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 0.66 | 0.64 | 54 |
Total harmless wastes per square meter of floor area (in ton/square meter) | ton/square meter | 0.0006 | 0.0005 | 54 |
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 | 2020 | Report Pages |
---|---|---|---|
Paper statement substitution rate | 99.98% | 55 |
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 | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Diesel for facilities | MWh | 62.56 | 146.51 | 54 |
Direct energy consumption (in MWh) | MWh | 32249.87 | 26449.99 | 54 |
Electricity purchased by the Group | MWh | 235628.41 | 53 | |
Energy consumption per RMB hundred million income (in MWh/RMB100 million) | MWh/RMB100 million | 147.78 | 134.58 | 54 |
Energy consumption per square meter of floor area (in MWh/square meter) | MWh/square meter | 0.12 | 0.11 | 54 |
Fuel consumption of official vehicles | MWh | 16251.99 | 14490.08 | 54 |
Fuel consumption of official vehicles (in million liters of gasoline) | million liters | 1.6706 | 53 | |
Gas | MWh | 279.96 | 335.37 | 54 |
Indirect energy consumption (in MWh) | MWh | 244955.36 | 235628.41 | 54 |
Liquefied petroleum gas | MWh | 942.81 | 2432.38 | 54 |
Loan balance of green credit | in RMB hundred million | 651.48 | 661.95 | 9 |
Natural gas | MWh | 14712.55 | 9045.65 | 54 |
Per capita electricity purchased | MWh | 4 | 53 | |
Per capita energy consumption (in MWh/person) | MWh/person | 4.86 | 4.45 | 54 |
Proportion of corporate loans to Construction | % | 4.96 | 35 | |
Proportion of corporate loans to Leasing and business services | % | 20.87 | 35 | |
Proportion of corporate loans to Manufacturing sector | % | 15.69 | 35 | |
Purchased electricity | in MWh | 155445.73 | 142216.79 | 9, 54 |
Purchased electricity (energy consumption) | MWh | 244955.36 | 235628.41 | 54 |
Total energy consumption (in MWh) | MWh | 277205.23 | 262078.4 | 54 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Municipal water consumption | ton | 2578500 | 55 | |
Per capita municipal water consumption | ton | 43.79 | 55 | |
Per capita tap water consumption (in ton/person) | ton/person | 42.92 | 43.79 | 55 |
Tap water consumption (in ton) | ton | 2448094.84 | 2578514.34 | 55 |
Tap water consumption per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 1305.07 | 1324.14 | 55 |
Tap water consumption per square meter of floor area (in ton/square meter) | ton/square meter | 1.09 | 1.05 | 55 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Substitution rate for personal e-banking transaction volume | % | 99.37 | 99.54 | 9 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
A4 copy paper purchased (in packs) | packs | 534300 | 55 | |
Total packing materials used by finished products (in ton) | ton | 215.31 | 49.52 | 55 |
Total packing materials used by finished products per RMB hundred million income (in ton/RMB hundred million) | ton/RMB hundred million | 0.11 | 0.03 | 55 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Expressway projects managed in Western region (total mileage) | km | 2878.8 | 38 | |
Share in corporate loans to lead and zinc smelting industry (heavy pollution, high energy consumption and overcapacity) | % | 0.02 | 0.02 | 48 |
Share in corporate loans to steel industry (heavy pollution, high energy consumption and overcapacity) | % | 1.16 | 1.25 | 48 |
Share in corporate loans to thermal power generation industry (heavy pollution, high energy consumption and overcapacity) | % | 0.61 | 0.58 | 48 |
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 | 2020 | Report Pages |
---|---|---|---|
Duration of Wuhan lockdown | days | 76 | 86 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Annual general meeting of shareholders convened | meeting | 1 | 17 | |
Change in percentage of employees at branch level participating in management over previous year | percentage points | 16.52 | 65 | |
Change in percentage of respondents 'not satisfied' with human resources management over previous year | percentage points | -0.05 | 65 | |
Change in percentage of respondents 'partly satisfied' with human resources management over previous year | percentage points | 1.04 | 65 | |
Change in percentage of respondents 'very satisfied' or 'satisfied' with human resources management over previous year | percentage points | -0.99 | 65 | |
Decrease in other leave per capita | days | -0.28 | 66 | |
Dispatched employees | 1150 | 64 | ||
Employees at CNCB (Hong Kong) Investment Limited | 815 | 64 | ||
Employees at China CITIC Bank International Limited | 2442 | 64 | ||
Employees at London Branch | 30 | 64 | ||
Employees at Sydney Representative Office | 6 | 64 | ||
Employees dispatched to the Bank or hired with letters of | 1577 | 1152 | 63 | |
Employees under labor contract with the Bank | 52126 | 54002 | 63 | |
Extraordinary general meetings of shareholders convened | meetings | 2 | 17 | |
Local employees at CNCB (Hong Kong) Investment Limited | 30 | 64 | ||
Local employees at China CITIC Bank International Limited | 2134 | 64 | ||
Local employees at London Branch | 21 | 64 | ||
Localization rate of staff at CNCB (Hong Kong) Investment Limited | % | 4 | 64 | |
Localization rate of staff at China CITIC Bank International Limited | % | 87 | 64 | |
Localization rate of staff at London Branch | % | 70 | 64 | |
Number of Board of Directors meetings convened by the Party Committee of the Head Office | meetings | 51 | 18 | |
Number of Board of Directors members | members | 9 | 18, 19 | |
Number of Senior Management members | persons | 10 | 22 | |
Number of bank outlets in large and mid-sized cities of China’s mainland | outlets | 1405 | 57 | |
Number of employees | over 50000 | 8 | ||
Number of executive directors on the Board | members | 2 | 18 | |
Number of female Senior Management members | persons | 1 | 22 | |
Number of full- and part-time management personnel dispatched for poverty alleviation | persons | 75 | 7 | |
Number of full- and part-time management personnel dispatched to poverty-stricken villages | people | 75 | 72 | |
Number of inclusive micro and small business customers | ten thousand person | 11.33 | 16.34 | 40 |
Number of independent non-executive directors on the Board | members | 4 | 18 | |
Number of male Senior Management members | persons | 9 | 22 | |
Number of non-executive directors on the Board | members | 3 | 18 | |
Number of small and micro enterprises customers | 163400 | 5 | ||
Overtime hours per capita | hours per capita | 30.11 | 66 | |
Percentage of employees at branch level participating in management | % | 68.26 | 65 | |
Proportion of dispatched employees | % | 2.09 | 64 | |
Total annual leave days employees were entitled to | days | 470400 | 66 | |
Total annual leave days taken by employees | days | 252800 | 66 | |
Total assets | RMB, hundred million RMB, in RMB hundred million | 67504.33 | 75111.61 | 8, 9, 33 |
Total employees | in person | 53703 | 55154 | 9, 63 |
Working capital loan extended to Shaanxi-based enterprise | RMB million | 300 | 38 | |
Working capital loan provided to Huizhou-based catering enterprise | million RMB | 2 | 41 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Decrease in overtime hours | percent | -14.55 | 66 |
Decrease in overtime hours per capita | hours | -6.26 | 66 |
Dispatched employees year-on-year change (%) | % | -26.98 | 64 |
Operating income | RMB hundred million, hundred million RMB | 1947.31 | 5, 33 |
Other leave (marital, personal, sick, funeral) total days | days | 214000 | 66 |
Other leave per capita | days per capita | 3.65 | 66 |
Percentage of annual leave days taken | percent | 53.75 | 66 |
Percentage of respondents 'not satisfied' with human resources management | % | 0.83 | 65 |
Percentage of respondents 'partly satisfied' with human resources management | % | 10.75 | 65 |
Percentage of respondents 'very satisfied' or 'satisfied' with human resources management | % | 88.42 | 65 |
Proportion of dispatched employees year-on-year change (percentage points) | percentage points | -0.84 | 64 |
Proposals adopted after deliberation | proposals | 20 | 17 |
Total overtime hours (including working overtime after work, on weekends, and on holidays) | hours | 1773000 | 66 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Change in number of cases of work-related injuries over previous year | cases | -3 | 65 |
Number of branch employees infected with coronavirus at CITIC Wuhan Branch | employees | 10 | 86 |
Number of cases of work-related injuries in sports, workplace, commutes or business trips | cases | 48 | 65 |
Lost days due to work injury.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total days off work due to work-related injuries | days | 2483.5 | 65 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Employees who voluntarily took health checkups | persons | 41900 | 66 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Decrease in voluntary health checkups | percent | -17.78 | 66 | |
Investment to improve employees’ professional skills and qualities | RMB | 116097600 | 6 | |
Number of online training courses launched | courses | 200 | 67 | |
Number of people organized for training | people | 10602 | 67 | |
Total number of participants (in person-time) | 696866 | 550166 | 68 | |
Total training cost | RMB ten thousand | 16044.99 | 11609.76 | 68 |
Video conferences held | 4974 | 55 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Decrease in investment to improve employees’ professional skills and qualities from previous year | % | -27.64 | 6 | |
Duration of video conferences | hours | 16847.19 | 55 | |
Duration of video conferences at Head Office | hours | 1846.24 | 55 | |
Duration of video conferences held by branches | hours | 15000.95 | 55 | |
Times of training per employee | times | 12.98 | 9.98 | 68 |
Training cost per capita | RMB | 2987.73 | 2104.97 | 68 |
Number of suppliers by geographical region.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Balance of agriculture-related loans (CITIC Bank, end of 2020) | RMB | 338752000000 | 36 | |
Balance of credit extended to all related enterprises (SSE regulatory criteria) | billion RMB | 353.826 | 23 | |
Balance of green loans | billion RMB, million RMB | 66195 | 6, 47 | |
Balance of inclusive micro and small business loans | hundred million yuan | 2042.55 | 3024.94 | 40 |
Balance of loans granted by the Bank to the central region | hundred million RMB | 8612.38 | 37 | |
Balance of loans granted by the Bank to the eastern region | hundred million RMB | 29598.86 | 37 | |
Balance of loans granted by the Bank to the northeast region | hundred million RMB | 1106.5 | 37 | |
Balance of loans granted by the Bank to the western region | hundred million RMB | 55452.38 | 37 | |
Balance of loans to inclusive small and micro businesses | RMB billion | 302.494 | 5 | |
Bank’s share in the M&A loan for Jiangxi-based enterprise | million USD | 175 | 33 | |
Corporate loans to Manufacturing sector | million | 3098.64 | 35 | |
Credit extensions to all related parties | million RMB | 75198 | 24 | |
Inclusive Finance Business Bank by 21st Century Business Herald | awarded | 83 | ||
Inclusive Finance Practicing Bank with Excellent Competitiveness by China Business Journal | recognized | 83 | ||
Increase in loan balance for poverty alleviation through financial services | % | 31.64 | 7, 71 | |
Increase in number of bank outlets compared with previous year | outlets | 4 | 57 | |
Loan balance of inclusive micro and small businesses | in RMB hundred million | 2042.55 | 3024.94 | 9 |
Loan balance to manufacturing industry | RMB hundred million | 3098.64 | 34 | |
NPL ratio | % | 1.64 | 5 | |
Number of affiliates at home and abroad | 7 | 8 | ||
Number of business authorizations dynamically adjusted | 102 | 44 | ||
Number of corporate online banking transactions (in ten thousand) | ten thousand | 9721.17 | 13281.3 | 49 |
Number of outlets in large and medium-sized cities in China | 1405 | 8 | ||
Number of outlets relocated for optimization | outlets | 64 | 57 | |
Outlets | in number | 1401 | 1405 | 9 |
Percentage increase in number of bank outlets compared with previous year | % | 0.29 | 57 | |
Proportion of corporate loans to Others | % | 10.47 | 35 | |
Proportion of corporate loans to Production and supply of power, gas and water | % | 3.04 | 35 | |
Proportion of corporate loans to Public and social organizations | % | 0.54 | 35 | |
Proportion of corporate loans to Real estate development | % | 13.45 | 35 | |
Proportion of corporate loans to Transportation, warehousing and postal services | % | 6.45 | 35 | |
Proportion of corporate loans to Water conservancy, environment and public utility management | % | 17.05 | 35 | |
Proportion of corporate loans to Wholesale and retail | % | 7.49 | 35 | |
Total loan balance to heavy pollution, high energy consumption and overcapacity industries | RMB hundred million | 465.3 | 567.57 | 48 |
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 | 2020 | Report Pages |
---|---|---|---|
Excellent Cooperation Agency for the Procurement Work in the Chinese Financial System by cfcfn.com and China Finance magazine | awarded | 83 | |
Loan balance for poverty alleviation through financial services | billion RMB, million RMB | 29191 | 7, 71 |
Number of economic responsibilities completed | 104 | 5 | |
Number of economic responsibility audits completed | 104 | 44 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Number of Head Office suppliers subject to risk screening | suppliers | 1288 | 62 | |
Share in corporate loans to aluminum smelting industry (heavy pollution, high energy consumption and overcapacity) | % | 0.57 | 0.57 | 48 |
Share in corporate loans to cement industry (heavy pollution, high energy consumption and overcapacity) | % | 0.18 | 0.37 | 48 |
Share in corporate loans to coke industry (heavy pollution, high energy consumption and overcapacity) | % | 0.03 | 0.01 | 48 |
Share in corporate loans to copper smelting industry (heavy pollution, high energy consumption and overcapacity) | % | 0.06 | 0.08 | 48 |
Total share in corporate loans to heavy pollution, high energy consumption and overcapacity industries | % | 2.62 | 2.87 | 48 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of counterfeit RMB banknotes confiscated | pieces | 7463 | 39 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Amount of corporate online banking transactions | RMB hundred million | 646990.31 | 1071801.37 | 49 |
China E-Banking Gold List Award: Most Favorite Mobile Banking Award | awarded | 84 | ||
Cumulative number of consumer protection businesses reviewed by Head Office | 280 | 76 | ||
Customer satisfaction about complaint handling | % | 95.54 | 6, 59 | |
Decrease in total amount of counterfeit banknotes confiscated compared to previous year | percent | 40.02 | 39 | |
Handling fees reduced and exempted for acquiring business of small and micro merchants | million RMB | 24.1271 | 7, 69 | |
Number of complaints directly forwarded from headquarters of regulators | 367 | 59 | ||
Number of complaints forwarded from regulator subsidiaries | 13813 | 59 | ||
Number of consumer protection management policies (fundamental) | policy | 1 | 75 | |
Number of consumer protection management policies (procedural) | policy | 1 | 75 | |
Number of consumer protection management policies (special) | policies | 11 | 75 | |
Number of customer complaints handled | 227334 | 59 | ||
Number of customer complaints received and handled | 227334 | 6 | ||
Number of opinions and suggestions collected and handled through internal management system | opinions and suggestions | 30 | 66 | |
Number of personal mobile banking customers (in ten thousand accounts) | ten thousand accounts | 4582.87 | 5187.51 | 49 |
Number of personal mobile banking transactions (in ten thousand) | ten thousand | 23602.15 | 24781.15 | 49 |
Number of personal online banking customers (in ten thousand people) | ten thousand people | 4704.38 | 5299.77 | 49 |
Number of questionnaires collected for corporate culture evaluation | 26000 | 15 | ||
Number of questions added to test library | questions | 10000 | 67 | |
Number of self-service terminals | terminals | 5687 | 57 | |
Number of transactions exempted from service charges for personal RMB accounts | million transactions | 5.6147 | 61 | |
Number of transactions with exempted service charges | 5614700 | 6 | ||
Overseas remittance recovered for customer by Wuxi Branch | EUR | 77000 | 58 | |
Percentage decrease in number of self-service terminals compared with previous year | % | -8.91 | 57 | |
Proportion of loans to manufacturing industry | % | 15.69 | 34 | |
Self-service terminals | in number | 6243 | 5687 | 9 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Best ABN Underwriter of 2019 by Wind Info | rated | 83 | ||
Leading Enterprise in Bank Innovation by The Economic Observer and Hong Kong Management Association | presented | 83 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Best Automotive Financial Service Bank by 21st Century Business Herald | awarded | 83 | ||
Best Bond Underwriter of 2019 by Wind Info | rated | 83 | ||
Best Business Innovation Member | awarded | 84 | ||
Best Credit Bond Underwriter of 2019: Excellent Bank Award by Wind Info | rated | 83 | ||
Best Digital Application award | awarded | 84 | ||
Excellent Blockchain Financial Service Bank by China Investment Network | rated | 83 | ||
Excellent Case of Brand Reshaping by 21st Century Business Herald | awarded | 83 | ||
Excellent Market-making and Settlement Institution for Government Bonds | named | 84 | ||
Excellent Market-making and Settlement Institution for Local Government Bonds | named | 84 | ||
Exempted service charges | million RMB | 2496 | 6 | |
Service charges exempted for personal RMB accounts | billion RMB | 2.496 | 61 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Amount of personal mobile banking transactions | RMB hundred million | 87212.28 | 105234.53 | 49 |
Amount of personal online banking transactions | RMB hundred million | 88062.6 | 70711.44 | 49 |
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 | 2019 | 2020 | Report Pages |
---|---|---|---|---|
A shareholders class meeting convened | meeting | 1 | 17 | |
Actual drawdown amount for Jiangxi-based enterprise M&A loan | million USD | 167 | 33 | |
Asset related party transactions (subset of non-credit) | billion RMB | 24.77 | 24 | |
Decrease in number of counterfeit RMB banknotes confiscated compared to previous year | percent | 38.8 | 39 | |
Doubtful facility credit extension to related enterprises | million RMB | 339 | 24 | |
Expense related party transactions (subset of non-credit) | billion RMB | 6.8 | 24 | |
Interim announcements concerning related party transactions issued | 34 | 24 | ||
Loss facility credit extension to related enterprises | million RMB | 920 | 24 | |
Number of AML audit opinions issued | 1100 | 39 | ||
Number of dynamic adjust business authorization times | 102 | 5 | ||
Number of topics discussed at Board of Directors meetings convened by the Party Committee of the Head Office | topics | 169 | 18 | |
Provision coverage | % | 171.68 | 5 | |
Provision coverage ratio | % | 171.68 | 33 | |
Substandard facility credit extension to related enterprises | million RMB | 63 | 24 | |
Total amount of counterfeit banknotes confiscated | RMB | 616509 | 39 | |
Value of financing for anti-epidemic bonds | billion RMB | 26.8 | 7 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Corporate loans to Construction | million | 979.97 | 35 |
Corporate loans to Leasing and business services | million | 4122.1 | 35 |
Corporate loans to Others | million | 2067.19 | 35 |
Corporate loans to Production and supply of power, gas and water | million | 600.12 | 35 |
Corporate loans to Public and social organizations | million | 106.28 | 35 |
Corporate loans to Real estate development | million | 2655.49 | 35 |
Corporate loans to Transportation, warehousing and postal services | million | 1273.33 | 35 |
Corporate loans to Water conservancy, environment and public utility management | million | 3366.67 | 35 |
Corporate loans to Wholesale and retail | million | 1480.2 | 35 |
H shareholders class meeting convened | meeting | 1 | 17 |
Meetings of specialized committees under the Board of Directors | meetings | 32 | 17 |
Meetings of the Board of Directors convened | meetings | 20 | 17 |
Meetings of the Board of Supervisors convened | meetings | 12 | 17 |
Number of AML audits completed | 350 | 39 | |
Number of audit reports issued | 22 | 5, 44 | |
Number of audit tips issued | 20 | 44 | |
Number of comprehensive and special audit projects completed | 46 | 5 | |
Number of comprehensive and special audits completed | 46 | 44 | |
Number of copies of audit tips issued | 20 | 5 | |
Number of copies of publicity materials handed out | copies | 6618200 | 6, 76 |
Number of mechanisms revised or added | 507 | 5 | |
Number of normative documents issued | 60 | 44 | |
Number of normative notice documents issued | 60 | 5 | |
Number of policies revised or released | 507 | 44 | |
Number of related legal persons | 5335 | 23 | |
Number of related natural persons | 17832 | 23 | |
Number of system functions improved | 53 | 5 | |
Number of system functions optimized | 53 | 44 | |
On-site meetings of the Board of Directors | meetings | 9 | 17 |
On-site meetings of the Board of Supervisors | meetings | 10 | 17 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
China ESG Golden Awards: Best Corporate Governance Award by sina.com.cn | presented | 83 | |
Number of multi-level AML training programs conducted or attended | 20 | 39 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | 2019-2020 | 2020 | Report Pages |
---|---|---|---|---|---|
Bank for Ensuring Stability on Six Fronts and Maintaining Security in Six Areas by Financial News | awarded | 83 | |||
Best Interbank Underwriter of Debt Financing Instruments in 2019 by Wind Info | rated | 83 | |||
Best Mobile Marketing Service Platform | awarded | 84 | |||
Best Performance Award for Domestic Private Bank | granted | 84 | |||
China Private Banking Awards – Best Private Bank for Product Development by Asiamoney | awarded | 83 | |||
Commercial Bank with the Most Investment Value by Investor China | recognized | 83 | |||
Donation to China Charity Federation for COVID-19 epidemic control | million RMB | 50 | 11 | ||
Donation to China Charity Federation for COVID-19 prevention and control | million RMB | 50 | 30 | ||
Donations to poverty alleviation projects | million RMB | 23.9319 | 7 | ||
Excellent Policy Bank Bond Market Maker | named | 84 | |||
Excellent Settlement Member, Excellent Clearing Member, and Excellent Foreign Exchange Self-operated Clearing Award | granted | 84 | |||
Gamma Award for Bond Underwriting Bank by Securities Times | presented | 83 | |||
Gamma Award for Pension Financial Service Bank by Securities Times | presented | 83 | |||
Gamma Award for Universal Bank in Investment Banking Business by Securities Times | presented | 83 | |||
Gold Medal Bank-Insurance Business Collaboration Award by YIQUCAIJING | rated | 83 | |||
Gold Medal Bank-Insurance Growth Potential Award by YIQUCAIJING | rated | 83 | |||
Households helped out of poverty | households | 8427 | 73 | ||
Innovative Practice Award in Inclusive Finance | awarded | 84 | |||
Number of cities with bank outlets in China’s mainland | cities | 153 | 57 | ||
Number of cities with outlets | 153 | 8 | |||
Number of consumer protection knowledge cards produced by Head Office | cards | 59 | 76 | ||
Number of consumer protection posters produced by Head Office | posters | 63 | 76 | ||
Number of cultural activities organized across the Bank | 274 | 15 | |||
Number of lectures given under 'Bringing Corporate Culture Courses to the Community Level' campaign | 940 | 15 | |||
Number of people covered by public education and publicity events | people | 42844500 | 76 | ||
Number of people covered by publicity materials | 42844500 | 6 | |||
Number of poverty alleviation projects implemented | 129 | 7, 72 | |||
Number of poverty-stricken counties receiving management personnel | counties | 5 | 72 | ||
Number of poverty-stricken villages receiving management personnel | villages | 37 | 72 | ||
Outstanding Brand Marketing Award by The Economic Observer and Hong Kong Management Association | presented | 83 | |||
People benefited from targeted poverty alleviation | people | 50000 | 73 | ||
People helped out of poverty | people | 27554 | 73 | ||
Poverty-stricken high school boys supported through education | boys | 390 | 73 | ||
Poverty-stricken high school girls supported through education | girls | 610 | 73 | ||
Poverty-stricken high school students supported through education | students | 1000 | 73 | ||
Proportion of total corporate loans | % | 100 | 35 | ||
Ranking in Top 1000 World Banks (tier-one capital) by The Banker | 24 | 8 | |||
Ranking in Top 500 Global Bank Brands by The Banker | 21 | 8 | |||
Third Prize for Outstanding Financial Membership | awarded | 84 | |||
Top 100 Settlement Companies: Outstanding Proprietors | named | 84 | |||
Total attendances at cultural activities organized across the Bank | 31660 | 15 | |||
Total attendances for 'Bringing Corporate Culture Courses to the Community Level' campaign | 36654 | 15 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Amount donated for poverty alleviation projects | million RMB | 23.9319 | 72 | |
Bank’s social contribution per share | RMB | 5.25 | 7 | |
Cumulative anti-epidemic loans granted to corporate customers | billion RMB | 195.92 | 7, 69 | |
Decrease in poverty alleviation donations compared with previous year | percent | -1.39 | 72 | |
Donations for epidemic prevention and control, patient treatment, and protection of medical staff | million RMB | 50 | 7 | |
Employee voluntary donations by Xiamen Branch for COVID-19 public service campaign | RMB | 33500 | 71 | |
Employee voluntary donations for epidemic support | million RMB | 2.995 | 71 | |
Group employee donations | million RMB | 3.8328 | 7 | |
Group total profit | RMB hundred million | 578.57 | 5 | |
Increase in Bank’s social contribution per share | % | 5.92 | 7 | |
Increase in Group employee donations | % | 224.04 | 7 | |
Increase in balance of agriculture-related loans (CITIC Bank, end of 2020) | RMB | 36867000000 | 36 | |
Masks and other anti-epidemic supplies handed out during COVID-19 epidemic | million masks | 6.96 | 71 | |
Number of anti-epidemic bonds underwritten | bonds | 38 | 7, 69 | |
Number of employees donating blood in voluntary blood donation event | 34 | 71 | ||
Number of people benefited from poverty alleviation | people | 50000 | 7 | |
Number of people benefited from poverty alleviation projects | people | 50000 | 72 | |
Number of people lifted out of poverty | people | 27600 | 7, 72 | |
Number of public education and publicity events organized | events | 28357 | 6, 76 | |
Party membership dues allocated for epidemic support | million RMB | 10.13 | 71 | |
Person-times of employee volunteer poverty alleviation activities | person-times | 6900 | 7 | |
Registered poverty-stricken households benefited | households | 16700 | 73 | |
Targeted poverty alleviation funds input | million RMB | 8.9 | 73 | |
Total corporate loans | million | 19749.99 | 35 | |
Total donations | in RMB ten thousand | 3165.86 | 7815.64 | 9 |
Total donations in local and foreign currencies (mainly for anti-epidemic, poverty alleviation, student grant, disaster relief, and financial aid to minorities) | million RMB | 78.1564 | 7 | |
Trade union funds earmarked for epidemic support | million RMB | 17 | 71 | |
Value of social contribution per share | in RMB | 4.96 | 5.25 | 9 |
Video conferences held at Head Office | 711 | 55 | ||
Video conferences held by branches | 4263 | 55 | ||
Voluntary activities | in number | 253 | 226 | 9 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
NOâ‚“ Emissions | ton | 0.73 | 0.6 |
SOâ‚“ Emissions | ton | 0.03 | 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 | 2019 | 2020 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | ton | 7118.49 | 5939.02 |
GHG Emissions from Natural Gas | ton CO2 equivalents | 2876.84 | 1768.75 |
GHG Emissions from Purchased Electricity | ton CO2 equivalents | 142200 | |
Indirect Energy Emissions (Scope 2) | ton | 155445.73 | 142216.79 |
Mobile Combustion Emissions | ton CO2 equivalents | 3978.44 | 3547.13 |
Stationary Combustion Emissions | ton CO2 equivalents | 16.45 | 38.52 |
Total GHG Emissions | ton | 162564.21 | 148155.81 |
Total GHG Emissions Intensity (By Area) | ton/square meter | 0.07 | 0.06 |
Total GHG Emissions Intensity (By Employee) | ton/person | 2.85 | 2.52 |
Total GHG Emissions Intensity (By Revenue) | ton/RMB hundred million | 86.66 | 76.08 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Total Hazardous Waste | ton | 307.11 | 320.6 |
Total Hazardous Waste Intensity (By Area) | ton/square meter | 0.00014 | 0.00013 |
Total Hazardous Waste Intensity (By Employee) | ton/person | 0.0054 | 0.0054 |
Total Hazardous Waste Intensity (By Revenue) | ton/RMB hundred million | 0.16 | 0.16 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Non-Hazardous Waste Disposed | ton | 1239.14 | 1237.31 |
Total Non-Hazardous Waste Intensity (By Area) | ton/square meter | 0.0006 | 0.0005 |
Total Non-Hazardous Waste Intensity (By Employee) | ton/person | 0.022 | 0.021 |
Total Non-Hazardous Waste Intensity (By Revenue) | ton/RMB hundred million | 0.66 | 0.64 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
NOx Emissions Reduction Compared to Last Year | t/y |
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 | 2019 | 2020 |
---|---|---|---|
Diesel Fuel Consumption | MWh | 62.56 | 146.51 |
Energy Consumption Intensity (By Area) | MWh/square meter | 0.12 | 0.11 |
Energy Consumption Intensity (By Employee) | MWh/person | 4.86 | 4.45 |
Energy Consumption Intensity (By Revenue) | MWh/RMB100 million | 147.78 | 134.58 |
LPG Consumption | MWh | 942.81 | 2432.38 |
Natural Gas Consumption | MWh | 14712.55 | 9045.65 |
Purchased Electricity | MWh | 244955.36 | 235628.41 |
Total Direct Energy Consumption | MWh | 32249.87 | 26449.99 |
Total Energy Consumption | MWh | 277205.23 | 262078.4 |
Total Indirect Energy Consumption | MWh | 244955.36 | 235628.41 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Municipal Water Consumption | ton | 2448094.84 | 2578500 |
Water Consumption Intensity (By Revenue) | ton/RMB hundred million | 1305.07 | 1324.14 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Packaging Material Intensity (By Revenue) | ton/RMB hundred million | 0.11 | 0.03 |
Packaging Materials Consumed | ton | 215.31 | 49.52 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit |
---|---|
Total Investment in Ecological Restoration | million RMB |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Number of Bachelor's Degree Employees | persons | 38911 | 39111 |
Number of Below Junior College Employees | persons | 273 | 239 |
Number of Employees Aged 30-50 | persons | 25162 | 27538 |
Number of Employees Aged Above 50 | persons | 2065 | 2326 |
Number of Employees Aged Below 30 | persons | 18739 | 17204 |
Number of Employees in Hong Kong | persons | 815 | |
Number of Employees in Mainland China | persons | 54002 | |
Number of Employees in Overseas | persons | 3293 | |
Number of Employees in Sydney | persons | 6 | |
Number of Employees in United Kingdom | persons | 30 | |
Number of Female Employees | persons | 28865 | 29886 |
Number of Male Employees | persons | 24838 | 25268 |
Number of Master's Degree Employees | persons | 11725 | 13341 |
Number of Total Employees | persons | 53703 | 55154 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Turnover Rate of Below Junior College Employees | % | -12.45 |
Turnover Rate of Employees Aged Below 30 | % | -8.19 |
Turnover Rate of Master's Degree Employees | % | 13.78 |
Lost days due to work injury.
Standard Indicator | Unit | 2020 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 2483.5 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Health Check Coverage for Employees | persons | 41900 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 |
---|---|---|
Total Cost of Training | RMB | 116097600 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Average Training Hours per Employee | times | 12.98 | 9.98 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Suppliers Participated in Sustainability Risk Assessment | suppliers | 1288 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Complaints Dealt with | 227334 | |
Satisfaction Rate of Customer Complaint Handling | % | 95.54 |
Total Number of Customer Complaints | 227334 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Anti-corruption Training Session | 20 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 |
---|---|---|
Donations to Disaster Relief Contributions to Public Welfare | million RMB | 50 |
Investment in Targeted Poverty Alleviation | million RMB | 23.9319 |
Number of Employees Participating in Volunteer Activities | employees | 6900 |
Number of Participations in Volunteer Activities | person-times | 6900 |
Number of Volunteer Activities Sessions | activities | 226 |
Total Cash Donations | million RMB | 78.1564 |
Total Public Welfare Donations | million RMB | 78.1564 |
Total Volunteer Service Hours | hours | 12000 |
Total Volunteer Teaching Hours | hours | 12000 |