2019 Corporate Social Responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Household waste | ton | 4123.56 | 63 |
| Kitchen waste | ton | 724.04 | 63 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Office paper saved | pieces | 7282090 | 63 |
| Paper saved by use of credit card e-bills | ton | 60.68 | 61 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Balances of loans to 'Two High and One Excess' industries | million Yuan | 332.75 | 59 | ||
| Diesel consumption | Litre | 14392 | 63 | ||
| Green loans balance | 100 million Yuan, RMB (100 million) | 139.89 | 225.58 | 538.78 | 20, 59 |
| Number of solar-powered street lamps installed by Lanzhou Branch (Gaowan Village) | lamps | 80 | 14 | ||
| Power consumption per unit area | MWh/m² | 0.2123 | 63 | ||
| Total electricity consumption (Head Office) | MWh | 5568.913 | 13066.811 | 23722.391 | 20 |
| Total fuel consumption of Head Office | liter | 47568 | 23500 | 18987 | 20 |
| Total natural gas consumption | m³ | 102483.16 | 63 | ||
| Total office power consumption | MWh | 23722.391 | 63 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total office water consumption | ton | 120619 | 63 | ||
| Total water consumption (Head Office) | ton | 38186 | 89442 | 120619 | 20 |
| Water consumption per unit area | ton/m² | 1.0796 | 63 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Credit to environmental protection-related industries | billion RMB | 107.773 | 60 |
| Financing for environmental protection-related sectors | RMB | 107773000 | 6 |
| Loans to environmental protection-related industries | 100 million Yuan | 1077.73 | 59 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| After-tax profit | RMB (100 million) | 109.73 | 115.6 | 131.43 | 20 | |
| Beef cattle breeding capacity supported by Chengdu Branch | cattle | 100 | 14 | |||
| Labor contract signing rate | 100% | 21, 67 | ||||
| Number of board meetings organized | meetings | 10 | 24 | |||
| Number of branches set up | branches | 260 | 24 | |||
| Number of employees above age 50 | employees | 508 | 67 | |||
| Number of employees aged 31-50 | employees | 10567 | 67 | |||
| Number of employees below age 30 | employees | 3081 | 67 | |||
| Number of employees from ethnic groups | employees | 278 | 67 | |||
| Number of female employees | employees | 6667 | 67 | |||
| Number of foreign employees | employees | 65 | 67 | |||
| Number of male employees | employees | 7489 | 67 | |||
| Operating revenue | RMB (100 million) | 342.64 | 390.22 | 464.47 | 20 | |
| Percentage of employees above age 50 | % | 3.59 | 67 | |||
| Percentage of employees aged 31-50 | % | 74.65 | 67 | |||
| Percentage of employees below age 30 | % | 21.76 | 67 | |||
| Percentage of female employees | % | 47.1 | 67 | |||
| Percentage of male employees | % | 52.9 | 67 | |||
| Poverty rate in Cairima Village | % | 18 | 0.3 | 16 | ||
| Return on average assets (ROAA) | / | 0.76% | 0.73% | 0.76% | 20 | |
| Social insurance coverage (head office) | 100% | 68 | ||||
| Total assets | RMB (100 million) | 15367.52 | 16466.95 | 18007.86 | 20 | |
| Total number of employees | employees | 14156 | 67 | |||
| Trade union coverage for all tier-one branches (including subsidiaries) except Hong Kong branch | % | 96.6 | 69 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Overall employee turnover rate | % | 5.6 | 67 |
| Turnover rate of employees above age 50 | % | 2.26 | 67 |
| Turnover rate of employees aged 31-50 | % | 4.79 | 67 |
| Turnover rate of employees below age 30 | % | 4.9 | 67 |
| Turnover rate of female employees | % | 5.44 | 67 |
| Turnover rate of male employees | % | 5.75 | 67 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of working days lost due to work-related injuries | days | 177 | 75 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Physical examination coverage (head office) | % | 98.57 | 68 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of employees covered by training programs | employees | 329164 | 70 |
| Number of employees received online training | employees | 104700 | 70 |
| Number of employees took online examinations | employees | 101300 | 70 |
| Number of managers trained (key talent group) | managers | 127 | 70 |
| Number of training programs launched | 2423 | 70 | |
| Number of young backbones trained (key talent group) | young backbones | 96 | 70 |
| Total training cost | RMB, million RMB | 38.4084 | 70, 91 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average training hours per employee | hours | 53.86 | 7, 70, 91 |
| Number of newcomers from campus recruiting trained (key talent group) | newcomers | 336 | 70 |
| Number of valid training effectiveness scores received | scores | 20000 | 70 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Balance of green loans | RMB | 53878000000 | 6 | ||
| Business cluster of Minerals Yingkou Medium Plate Co., Ltd. | 167 | 38 | |||
| Chemical raw materials and chemicals loan balance | 100 million Yuan | 53.24 | 54.48 | 47.97 | 59 |
| Ferrous metal smelting and rolling loan balance | 100 million Yuan | 37.97 | 19.75 | 37.88 | 59 |
| Increase in credit to environmental protection-related industries | billion RMB | 22.26 | 60 | ||
| Increase in credit to environmental protection-related industries (percentage) | 26.04% | 60 | |||
| Increase in green loans balance | 100 million Yuan | 313.2 | 59 | ||
| Increase in green loans balance (percentage) | % | 138.84 | 59 | ||
| Increase in green loans from beginning of the year | RMB | 31320000000 | 6 | ||
| Increase in green loans from beginning of the year (percentage) | % | 138.84 | 6 | ||
| Increase in micro and small enterprises loan balance compared to beginning of year | % | 13.59 | 5 | ||
| Loan balance for Textiles industry | billion | 69.94 | 78.09 | 87.53 | 60 |
| National-standard micro and small enterprises loan balance | billion RMB | 232.352 | 5 | ||
| Non-metallic mineral products loan balance | 100 million Yuan | 31.37 | 28.75 | 23.14 | 59 |
| Number of local enterprises granted loans by Nanchang Branch during trial operation | 64 | 38 | |||
| Number of specialized institutions serving small enterprises | 161 | 5 | |||
| Pool financing platform - financing balance | billion RMB | 330 | 48 | ||
| Pool financing platform - number of clients served | clients | 25000 | 48 | ||
| Proportion of bills in 'Yongjin Bill Pool 4.0' at end of 2019 | 95% | 22 | |||
| Provincial loan increment as percentage of total increment of the Bank | % | 58.35 | 38 | ||
| Total loan balance | billion RMB | 1053.876 | 5 | ||
| Total loan balance at beginning of year | billion RMB | 872.403 | 5 | ||
| Total loan balance within Zhejiang Province | billion RMB | 349 | 38 | ||
| Total loan granted by Nanchang Branch during trial operation | billion RMB | 35 | 38 | ||
| Yiqiyin platform - number of projects registered | projects | 333 | 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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Loan balance for Chemical fibers industry | billion | 8.15 | 13.46 | 18.32 | 60 |
| Loan balance for Coal mining and washing industry | billion | 17.94 | 30.13 | 50.45 | 60 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Customer satisfaction rate of 95527 hotline service | % | 99.73 | 6 | ||
| Number of Internet transactions | million | 150.3622 | 61 | ||
| Number of announcements published | number | 48 | 53 | 109 | 25 |
| Number of calls received from investors | number | 201 | 268 | 388 | 25 |
| Number of coins prepared for customer by Wenzhou New City Sub-branch | coins | 13000 | 53 | ||
| Number of copies of publicity materials distributed | copies | 610000 | 56 | ||
| Number of customers offered consultation service | customers | 730000 | 56 | ||
| Number of e-banking transactions | 10 thousand, million | 7281.65 | 15729.09 | 22514.62 | 20, 61 |
| Number of electronic processes | 861169 | 63 | |||
| Number of emails replying to investors | number | 1083 | 1459 | 2108 | 25 |
| Number of mobile transactions | million | 70.2621 | 61 | ||
| Number of opinions and suggestions received via satisfaction evaluation platform | 3133 | 69 | |||
| Number of self-service facilities | 1618 | 61 | |||
| Number of transactions given early warnings by customer account monitoring mechanism | 1930000 | 28 | |||
| Private enterprise financing raised | billion RMB | 890.909 | 5 | ||
| Proportion of loans to 'Two High and One Excess' industries in total loan balance | % | 3.26 | 59 | ||
| Rate of e-banking transaction substitution | / | 96.95% | 98.35% | 99.03% | 20, 61 |
| Share of total foreign exchange transaction value on Zheshang Trading Treasure | more than 20% | 36 | |||
| Value of Internet transactions | RMB 11.77 trillion | 61 | |||
| Value of mobile transactions | RMB 0.63 trillion | 61 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of blockchain-based key technologies developed | technologies | 5 | 29 |
| Number of technical indicators developed for anti-money laundering | 724 | 28 | |
| Number of trademarks registered (total) | trademarks | 415 | 29 |
| Number of trademarks registered abroad | trademarks | 82 | 29 |
| Number of trademarks registered in China | trademarks | 333 | 29 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Accounts Receivable Chain platform - financing balance | billion RMB | 96 | 48 |
| Accounts Receivable Chain platform - number of clients covered | clients | 17000 | 48 |
| Accounts Receivable Chain platform - number of projects registered | projects | 2493 | 48 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Capital adequacy ratio | / | 12.21% | 13.38% | 14.24% | 20 |
| Number of board of directors' special committee meetings organized | meetings | 19 | 24 | ||
| Number of board of supervisors meetings organized | meetings | 9 | 24 | ||
| Number of board of supervisors' special committee meetings organized | meetings | 10 | 24 | ||
| Number of early warning transactions involving telecom fraud | 1920000 | 28 | |||
| Number of shareholders meetings organized | meetings | 4 | 24 | ||
| Number of suspicious transaction monitoring models established | 31 | 28 | |||
| Provision coverage ratio | %, / | 296.94% | 270.37% | 220.80% | 5, 20 |
| Share of private enterprises in corporate loan application | % | 64.2 | 40 | ||
| Share of private enterprises in on-balance-sheet and off-balance-sheet financing | % | 64.02 | 40 | ||
| Total tax | RMB (100 million) | 82.94 | 82.12 | 75.5 | 20 |
| Value of foreign exchange transactions on Zheshang Trading Treasure | billion dollars | 10 | 36 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of functional modifications to anti-money laundering system | 100 | 28 | |
| Number of issues reviewed by board of directors' special committee | issues | 162 | 24 |
| Number of issues reviewed by board of supervisors' special committee | issues | 19 | 24 |
| Number of large-scale upgrades to anti-money laundering system | 8 | 28 | |
| Number of rules for monitoring other types of suspicious transactions | 264 | 28 | |
| Number of special rules for separate warning developed | 68 | 28 | |
| Number of supervised replies from relevant departments | replies | 400 | 70 |
| Number of supervisor investigations arranged | investigations | 10 | 24 |
| Number of thorough investigations conducted | 900 | 28 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of anti-corruption educational activities conducted | 515 | 28 | |
| Number of anti-money laundering training trainees | trainees | 15000 | 29 |
| Number of anti-money laundering trainings conducted | trainings | 247 | 29 |
| Number of batches for legal and disciplinary education and anti-corruption inculcation | 78 | 28 | |
| Number of participants in anti-corruption educational activities | 107500 | 28 | |
| Percentage increase in anti-money laundering training trainees compared to previous year | % | 22.77 | 29 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2015 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Area of cultural square constructed by Xi'an Branch | square meters | 800 | 14 | |||
| Bonds issued under ABS 'XUYUE 2019-1' program for micro and small enterprises | billion RMB | 2.333 | 22 | |||
| Expenditure on charitable donations | million RMB | 10.855 | 7 | |||
| First RMB 5 billion green financial bond granted | RMB | 5000000000 | 6 | |||
| First RMB 500 million bailout loan underwritten | RMB | 500000000 | 6 | |||
| Investment in chicken farming plan by Lanzhou Branch | RMB | 340000 | 14 | |||
| Investment in public education service | million RMB | 8.05 | 56 | |||
| Loan balance of the 'Two High and One Excess' industries | RMB (100 million), billion | 287.63 | 281.27 | 332.75 | 20, 60 | |
| Number of Party members and leaders visiting educational bases and exhibition centers | 2609 | 28 | ||||
| Number of activities including publicity activities in industrial parks, suburbs and communities | 1300 | 6 | ||||
| Number of financial knowledge popularization activities conducted | activities | 1335 | 56 | |||
| Number of households living in poverty in Cairima Village | households | 25 | 5 | 16 | ||
| Number of people covered by activities in industrial parks, suburbs and communities | 3000000 | 6 | ||||
| Number of people living in poverty in Cairima Village | people | 230 | 20 | 16 | ||
| Number of provinces with branches | provinces | 19 | 24 | |||
| Number of students supported by CZBank Rainbow Plan | students | 23400 | 17 | |||
| Proportion of total loan balance for 'Two High and One Excess' industries | 4.27% | 3.29% | 3.26% | 60 | ||
| Value of e-transactions | RMB 12.4 trillion | 61 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2004 | 2019 | Report Pages |
|---|---|---|---|---|
| Consolation money and items provided by Chengdu Branch | RMB | 90000 | 14 | |
| Funds raised for poverty alleviation by Lanzhou Branch (Gaowan Village) | RMB | 478000 | 14 | |
| Increase in total loan balance compared to beginning of year | % | 19.56 | 5 | |
| Increase in total loan balance within Zhejiang Province | billion RMB | 95.9 | 38 | |
| Increase in total loan balance within Zhejiang Province (percentage) | % | 37.89 | 38 | |
| Investment for cultural square and infrastructure by Xi'an Branch | RMB | 590000 | 14 | |
| Number of people benefited from financial knowledge popularization activities | million people | 3.02 | 56 | |
| Number of poor students helped by donating money for education | students | 2815 | 17 | |
| Number of poor villages lifted out of poverty | villages | 3 | 16 | |
| Number of villagers provided support by Chengdu Branch | villagers | 70 | 14 | |
| Poverty alleviation loan for Liangshan, Sichuan Province | RMB | 100000000 | 6 | |
| Projects approved online | 166 | 63 | ||
| Targeted loan for local breeding industry by Chengdu Branch | RMB | 500000 | 14 | |
| Targeted poverty alleviation loan balance | RMB | 600000000 | 6, 91 | |
| Total amount donated by CZBank Rainbow Plan | million RMB | 5.09 | 17 | |
| Total amount donated through Young Eagles Flight Plan (Zhejiang) | million RMB | 5.28 | 17 | |
| Total amount donated through canceling opening and anniversary ceremonies of new branches | million RMB | 20.835 | 17 | |
| Total amount raised by CZBank Rainbow Plan | million RMB | 24.61 | 17 | |
| Total amount raised for private enterprises | billion RMB | 890.909 | 40 | |
| Video device coverage | 43.1% | 63 | ||
| Yiqiyin platform - total amount raised | billion RMB | 92 | 48 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| Airborne Particulate Matter (PM) Emissions | ton/year |
| NOₓ Emissions | ton/year |
| SOₓ Emissions | ton/year |
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 |
|---|---|
| Direct GHG Emissions (Scope 1) | tCO2 equivalent |
| Indirect Energy Emissions (Scope 2) | tCO2 equivalent |
| Total GHG Emissions | tCO2 equivalent |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | ton | 4123.56 |
| Non-Hazardous Waste (Kitchen Waste) | ton | 724.04 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| GHG Emissions Reduction Compared to Last Year | ton/year |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Diesel Fuel Consumption | Litre | 14392 | ||
| Natural Gas Consumption | m³ | 102483.16 | ||
| Purchased Electricity | MWh | 5568.913 | 13066.811 | 23722.391 |
| Total Electricity Consumption Intensity (By Area) | MWh/m² | 0.2123 | ||
| Total Indirect Energy Consumption | MWh | 5568.913 | 13066.811 | 23722.391 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption in Office | ton | 38186 | 89442 | 120619 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Investment in Ecological Restoration | billion RMB | 1077.73 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees Aged 30-50 | employees | 10567 |
| Number of Employees Aged Above 50 | employees | 508 |
| Number of Employees Aged Below 30 | employees | 3081 |
| Number of Employees in Overseas | employees | 65 |
| Number of Female Employees | employees | 6667 |
| Number of Male Employees | employees | 7489 |
| Number of Total Employees | employees | 14156 |
| Percentage of Employees Aged 30-50 | % | 74.65 |
| Percentage of Employees Aged Above 50 | % | 3.59 |
| Percentage of Employees Aged Below 30 | % | 21.76 |
| Percentage of Employees in Mainland China | % | 99.59 |
| Percentage of Employees in Overseas | % | 0.41 |
| Percentage of Female Employees | % | 47.1 |
| Percentage of Male Employees | % | 52.9 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 4.79 |
| Turnover Rate of Employees Aged Above 50 | % | 2.26 |
| Turnover Rate of Employees Aged Below 30 | % | 4.9 |
| Turnover Rate of Female Employees | % | 5.44 |
| Turnover Rate of Male Employees | % | 5.75 |
| Turnover Rate of Total Employees | % | 5.6 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 177 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Health Check Coverage for Employees | % | 98.57 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours per Employee | hours | 53.86 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers in Bohai Economic | |
| Number of Suppliers in Pearl River Delta | |
| Number of Suppliers in Yangtze River Delta | |
| Number of Total Suppliers |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Trademark Registrations | trademarks | 415 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Anti-corruption Training Session | 515 | |
| Number of People Participated in Ethical Standards and Anti-corruption Training | trainees | 15000 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2004 | 2019 |
|---|---|---|---|
| Investment in Education Donation | million RMB | 20.835 | |
| Investment in Targeted Poverty Alleviation | RMB | 500000 | |
| Total Public Welfare Donations | million RMB | 5280000 | 90000 |