2022 Corporate Social Responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Nitrogen oxide reduction of green projects | ton | 104.71 | 436.31 | 206.44 | 58 |
| Nitrogen oxides | ton | 8.52 | 61 | ||
| Particulates | ton | 0.05 | 61 | ||
| Percentage of the balance of loans for industries with serious pollution, energy waste and overcapacity problems in the balance of all loans | / | 3.26% | 3.45% | 3.48% | 58 |
| Sulfur dioxide | ton | 0.34 | 61 |
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 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Direct GHG emissions (Scope 1) | tons of CO2 equivalent | 324.27 | 335.55 | 3187.87 | 60 |
| GHG emissions density | tons of CO2 equivalent/m² | 0.18 | 0.15 | 0.06 | 60 |
| Indirect GHG emissions (Scope 2) | tons of CO2 equivalent | 19248.64 | 16420.28 | 43237.7 | 60 |
| Total greenhouse gas emissions (Scopes 1 and 2) | tons of CO2 equivalent | 19572.91 | 16755.83 | 46425.57 | 60 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Discharge amount of hazardous waste per unit area | t/m² | 0.0000009 | 0.0000054 | 0.000035 | 61 |
| Total waste amount | ton | 1854.47 | 2001.1 | 6604.47 | 61 |
| Total waste amount (hazardous) | ton | 0.0952 | 0.5992 | 26.43 | 61 |
| Waste office supplies | ton | 62.23 | 61 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Amount of harmless electronic wastes | ton | 49.07 | 61.88 | 61 | |
| Discharge of non-hazardous waste per unit area | t/m² | 0.0166 | 0.0179 | 0.0087 | 61 |
| Household waste | ton | 1380.3 | 1656.5 | 4936.82 | 61 |
| Kitchen waste | ton | 425 | 344 | 1517.06 | 61 |
| Toner cartridges, toner cartridges | ton | 0.0952 | 0.5992 | 17.52 | 61 |
| Total discharge amount of non-hazardous waste | ton | 1854.37 | 2000.5 | 6577.98 | 61 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Ammonia nitrogen reduction of green projects | ton | 7.41 | 739.94 | 723.94 | 58 |
| Carbon dioxide equivalent reduction of green projects | ton | 61500.03 | 90681.14 | 80770.21 | 58 |
| Chemical oxygen demand reduction of green projects | ton | 0.4 | 2641.73 | 1110.5 | 58 |
| Sulfur dioxide reduction of green projects | ton | 126.86 | 776.45 | 1278.11 | 58 |
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 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Paper saved by electronic credit card | ton | 56.14 | 36.5 | 32.9 | 62 |
| Paper saved by paperless offices | ton | 34.28 | 38.51 | 45.2 | 62 |
| Paper saved by paperless reimbursement | ton | - | 2.08 | 2.82 | 62 |
| Paper saved by the Electronic Certificate | ton | - | - | 1.43 | 62 |
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 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Balance of clean energy loans | billion RMB | 12.501 | 4 | ||
| Balance of loans for clean energy | RMB (100 million) | 35.72 | 79.05 | 125.01 | 58 |
| Balance of loans for clean production | RMB (100 million) | 28.88 | 31.57 | 51.85 | 58 |
| Balance of loans for ecological and environmental protection | RMB (100 million) | 50.48 | 44.43 | 60.14 | 58 |
| Balance of loans for energy efficiency and environmental protection | RMB (100 million) | 94.95 | 123.16 | 211.74 | 58 |
| Consumption of purchased green electricity | kWh | 94204.3 | 60 | ||
| Consumption of purchased traditional electricity | kWh | 73761693.51 | 60 | ||
| Diesel consumption | L | 1825 | 6587 | 8109.96 | 60 |
| Energy consumption per unit area | MWh/m² | 0.28 | 0.34 | 0.59 | 60 |
| Gasoline consumption | L | 17013.08 | 20409.86 | 622186.35 | 60 |
| Natural gas consumption | m³ | 129081.95 | 125071 | 825250.12 | 60 |
| PUE of the data center | 1.701 | 1.455 | 1.359 | 60 | |
| Total energy consumption | MWh | 31004.91 | 37461.6 | 442815.8 | 60 |
| Total fuel consumption of service vehicles | liter | 17013.08 | 20409.86 | 607317.39 | 11 |
| Total office power consumption | MWh | 27239.71 | 27916.18 | 73855.9 | 11 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Total office water consumption | ton | 147436 | 171454 | 1673433.65 | 11, 62 |
| WUE of the data center | / | 2.511 | 2.007 | 2.286 | 62 |
| Water consumption per unit area | t/m² | 1.32 | 1.53 | 2.22 | 62 |
| Water consumption reduction of green projects | ton | 41728788.03 | 10751700.23 | 9525871.43 | 58 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Coal consumption reduction of green projects | ton | 31692.29 | 42794.74 | 36814.44 | 58 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Balance of loans to environmental industries | RMB (100 million) | 1226.46 | 1276.07 | 1674.52 | 58 |
| MSCI ESG rating | A | 4 | |||
| Number of green projects supported | No. | 2919 | 11988 | 14176 | 58 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| After-tax profit | RMB (100 million) | 125.59 | 129.16 | 139.89 | 11 |
| Average attendance at board meetings | / | 96.75% | 93.44% | 99.45% | 11, 46 |
| Average tenure of board members | Year | 6.8 | 4.84 | 5.85 | 46 |
| Labor contract signing rate | / | 100% | 100% | 100% | 50 |
| Minimum board meeting attendance rate | / | 50% | 50% | 50% | 46 |
| Number of Han employees | No. | 14355 | 14968 | 17008 | 51 |
| Number of board directors | No. | 15 | 15 | 13 | 46 |
| Number of contract workers | No. | 413 | 341 | 438 | 50 |
| Number of directors | No. | 15 | 15 | 13 | 11 |
| Number of employees above 50 | No. | 656 | 688 | 835 | 51 |
| Number of employees below 30 | No. | 3289 | 3516 | 3758 | 51 |
| Number of employees between 31–50 | No. | 10701 | 11098 | 12813 | 51 |
| Number of employees from ethic groups | No. | 291 | 334 | 398 | 51 |
| Number of employees in China | No. | 14578 | 15230 | 17328 | 51 |
| Number of employees on regular payroll | No. | 14233 | 14961 | 16968 | 50 |
| Number of employees out of China | No. | 68 | 72 | 78 | 51 |
| Number of female directors | No. | 3 | 2 | 2 | 46 |
| Number of female employees | No. | 6967 | 7297 | 8420 | 51 |
| Number of independent directors | No. | 6 | 4 | 5 | 46 |
| Number of male employees | No. | 7679 | 8005 | 8986 | 51 |
| Number of middle and senior managers | No. | 293 | 294 | 329 | 51 |
| Number of new employees | No. | 1648 | 1923 | 3153 | 50 |
| Number of new female employees | No. | 723 | 885 | 1544 | 50 |
| Number of new male employees | No. | 925 | 1038 | 1609 | 50 |
| Number of new middle and senior managers | No. | 7 | 5 | 22 | 50 |
| Number of new ordinary employees | No. | 1641 | 1918 | 3131 | 50 |
| Number of new recruits above 50 | No. | 4 | 7 | 10 | 50 |
| Number of new recruits below 30 | No. | 884 | 901 | 1254 | 50 |
| Number of new recruits between 31–50 | No. | 760 | 1015 | 1889 | 50 |
| Number of new recruits in China | No. | 1633 | 1901 | 3130 | 50 |
| Number of new recruits out of China | No. | 15 | 22 | 23 | 50 |
| Number of non-executive directors with industry experience | No. | 4 | 4 | 4 | 46 |
| Number of ordinary employees | No. | 14353 | 15008 | 17077 | 51 |
| Number of other non-executive directors | No. | 7 | 7 | 5 | 46 |
| Operating revenue | RMB (100 million) | 477.71 | 545.84 | 611.52 | 11 |
| Percentage of employees covered by trade | % | 99.55 | 52 | ||
| Percentage of female employees | 47.57% | 47.69% | 48.37% | 11 | |
| Social insurance coverage rate | / | 100% | 100% | 100% | 52 |
| Total amount of financing in Zhejiang | billion RMB | 800 | 4 | ||
| Total assets | RMB (100 million) | 20482.25 | 22867.23 | 26219.3 | 11 |
| Total number of CZBank employees | No. | 14646 | 15302 | 17406 | 50 |
| Total number of employees | No. | 14466 | 15302 | 17406 | 11 |
| Trade union establishment rate | % | 96.67 | 96.67 | 97.3 | 52 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Absenteeism rate | % | 0.47 | 0.45 | 0.46 | 52 |
| Percentage of vacancies filled by through internal recruitment | / | 2.13% | 1.08% | 0.73% | 50 |
| Turnover rate | / | 6.62% | 7.65% | 5.68% | 11, 50 |
| Turnover rate of employees above 50 | / | 6.26% | 4.97% | 8.14% | 50 |
| Turnover rate of employees below 30 | / | 6.89% | 10.83% | 6.52% | 50 |
| Turnover rate of employees between 31–50 | / | 5.93% | 6.76% | 5.27% | 50 |
| Turnover rate of female employees | / | 5.90% | 7.07% | 4.76% | 50 |
| Turnover rate of inboard employees | / | 6.21% | 7.58% | 5.63% | 50 |
| Turnover rate of male employees | / | 7.27% | 8.17% | 6.53% | 50 |
| Turnover rate of middle and senior managers | / | 2.01% | 0.34% | 0.90% | 50 |
| Turnover rate of ordinary staff | / | 7.43% | 7.78% | 5.77% | 50 |
| Turnover rate of outboard employees | / | 5.00% | 20.00% | 17.02% | 50 |
Lost days due to work injury.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work injury | Day | 276 | 327 | 1178 | 52 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number of participants in the trainings | No. | 366392 | 593029 | 643273 | 53 |
| Number of research papers published | No. | 8 | 56 | ||
| Number of research projects as participant | No. | 10 | 56 | ||
| Number of training programs participated in by employees | No. | 2098 | 1895 | 1529 | 53 |
| Number of training sessions for directors | No. | 3 | 2 | 3 | 46 |
| Percentage of employees receiving training | 100% | 100% | 100% | 53 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Average offline training time | hour | 25 | 53 | ||
| Average online training time | hour | 39.9 | 53 | ||
| Average training time | hour | 57.83 | 62.61 | 64.9 | 53 |
| Average training time for female employees | hour | 57.06 | 53 | ||
| Average training time for male employees | hour | 51.87 | 53 | ||
| Average training time for middle and senior managers | hour | 39.37 | 53 | ||
| Average training time for ordinary employees | hour | 54.52 | 53 | ||
| Employee training expenditure | RMB (10 thousand) | 2261.69 | 2588.62 | 2664.03 | 53 |
| Employee training expenditure per person | RMB | 1544.24 | 1691.69 | 1530.52 | 53 |
| Training time per employee | hour, hours | 57.83 | 62.61 | 64.9 | 4, 11 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Amount of financing in Zhejiang for 26 counties | billion RMB | 48.707 | 4 | ||
| Amount of financing in Zhejiang for 51000 enterprises | billion RMB | 414.706 | 4 | ||
| Balance of agriculture-related loans | billion RMB | 199.924 | 4 | ||
| Balance of green loans | billion RMB | 145.923 | 4 | ||
| Balance of loans for the green upgrading of infrastructure | RMB (100 million) | 564.07 | 758.17 | 985.77 | 58 |
| Balance of loans to MSEs as defined by national standards | RMB (100 million) | 2539.75 | 2810.37 | 3418.83 | 11 |
| Balance of loans to micro and small enterprises (MSEs) | billion RMB | 341.883 | 4 | ||
| Balance of manufacturing-related loans | billion RMB | 238.3 | 4 | ||
| Budget of central procurement | RMB (10 thousand) | 53425.62 | 113096.58 | 87993 | 54 |
| Large agricultural loan balance | RMB (100 million) | 1711.48 | 1724.54 | 1999.24 | 11 |
| Non-performing loan ratio for MSEs | % | <1 | 4 | ||
| Number of centralized procurement projects in the current year | No. | 150 | 54 | ||
| Number of core enterprises served via Comprehensive Supply Chain Finance Service App | enterprises | 1226 | 15 | ||
| Number of corporate users on Jinfuobao MSME Loan platform | corporate users | 30000 | 15 | ||
| Number of domestic and foreign standards as co-formulator | No. | 48 | 56 | ||
| Number of enterprises benefiting along supply chains via Comprehensive Supply Chain Finance Service App | enterprises | 18247 | 15 | ||
| Number of national pilot topics as leader | No. | 2 | 56 | ||
| Number of potential suppliers | No. | 2165 | 2394 | 2854 | 54 |
| Number of service providers hosted on Jinfuobao MSME Loan platform | service providers | 36 | 15 | ||
| Suppliers in Central China | No. | 85 | 95 | 125 | 54 |
| Suppliers in Northeast China | No. | 18 | 22 | 27 | 54 |
| Suppliers in Western China | No. | 100 | 109 | 145 | 54 |
| Suppliers in the Bohai Economic Rim | No. | 460 | 501 | 587 | 54 |
| Suppliers in the Pearl River Delta | No. | 254 | 275 | 310 | 54 |
| Suppliers in the Yangtze River Delta | No. | 1248 | 1392 | 1660 | 54 |
| Total credit provided via Comprehensive Supply Chain Finance Service App | billion RMB | 220 | 15 | ||
| Total loan balance and advances | billion RMB | 1525.03 | 4 | ||
| Total loan balance and advances year-on-year increase | % | 13.2 | 4 | ||
| Year-on-year growth rate of clean energy loans | % | 58.34 | 4 | ||
| Year-on-year growth rate of green loans | % | 39.89 | 4 |
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 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Coverage of supplier performance assessment | / | 100% | 54 | ||
| Performance rate of centralized procurement projects | / | 100% | 100% | 100% | 54 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of industries with customized credit solutions via Comprehensive Supply Chain Finance Service App | industries | 30 | 15 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Complaint handling rate | 100% | 33 | |||
| Customer complaint handling rate | % | 100 | 4 | ||
| Customer satisfaction rate | % | 99.85 | 4 | ||
| Customer satisfaction rate (percentage of customers giving reviews in customers making complaints through the 95527 hotline) | / | 49.92% | 56.00% | 50.85% | 55 |
| Customer satisfaction rate of the 95527 service hotline | / | 99.77% | 99.86% | 99.85% | 11, 55 |
| Increase in efficiency of comprehensive review services by Digital Intelligent Review Management Platform | 30% | 15 | |||
| Increase in efficiency of credit granting by Digital Intelligent Review Management Platform | 35% | 15 | |||
| Increase in efficiency of review by Digital Intelligent Review Management Platform | 20% | 15 | |||
| Number of complaints - Beijing Branch | 770 | 33 | |||
| Number of complaints - Changsha Branch | 150 | 33 | |||
| Number of complaints - Chengdu Branch | 519 | 33 | |||
| Number of complaints - Chongqing Branch | 1575 | 33 | |||
| Number of complaints - Fuzhou Branch | 13 | 33 | |||
| Number of complaints - Guangzhou Branch | 616 | 33 | |||
| Number of complaints - Guiyang Branch | 107 | 33 | |||
| Number of complaints - Hangzhou Branch | 2202 | 33 | |||
| Number of complaints - Hefei Branch | 180 | 33 | |||
| Number of complaints - Hohhot Branch | 34 | 33 | |||
| Number of complaints - Huzhou Branch | 122 | 33 | |||
| Number of complaints - Ji'nan Branch | 385 | 33 | |||
| Number of complaints - Jiaxing Branch | 213 | 33 | |||
| Number of complaints - Jinhua Branch | 323 | 33 | |||
| Number of complaints - Lanzhou Branch | 398 | 33 | |||
| Number of complaints - Lishui Branch | 26 | 33 | |||
| Number of complaints - Nanchang Branch | 81 | 33 | |||
| Number of complaints - Nanjing Branch | 607 | 33 | |||
| Number of complaints - Nanning Branch | 15 | 33 | |||
| Number of complaints - Ningbo Branch | 522 | 33 | |||
| Number of complaints - Qingdao Branch | 51 | 33 | |||
| Number of complaints - Quzhou Branch | 87 | 33 | |||
| Number of complaints - Shanghai Branch | 582 | 33 | |||
| Number of complaints - Shaoxing Branch | 416 | 33 | |||
| Number of complaints - Shenyang Branch | 298 | 33 | |||
| Number of complaints - Shenzhen Branch | 1138 | 33 | |||
| Number of complaints - Suzhou Branch | 285 | 33 | |||
| Number of complaints - Taiyuan Branch | 6 | 33 | |||
| Number of complaints - Taizhou Branch | 152 | 33 | |||
| Number of complaints - Tianjin Branch | 402 | 33 | |||
| Number of complaints - Wenzhou Branch | 538 | 33 | |||
| Number of complaints - Wuhan Branch | 401 | 33 | |||
| Number of complaints - Xi'an Branch | 511 | 33 | |||
| Number of complaints - Zhengzhou Branch | 752 | 33 | |||
| Number of complaints - Zhoushan Branch | 21 | 33 | |||
| Number of customer complaints (including those transferred from regulators) | No. | 4590 | 17662 | 105340 | 55 |
| Number of customer credit risks automatically identified by Big Data Risk Control Platform | customer credit risks | 27157 | 15 | ||
| Number of e-banking transactions | 10 thousand | 21527.01 | 22320.41 | 25143.4 | 11 |
| Number of white papers as lead or co-issuer | No. | 5 | 56 | ||
| Rate of e-banking substitution | 99.49% | 99.70% | 99.75% | 11 | |
| Total amount of commercial notes processed by New-Generation Intelligent Comprehensive Bill Data Service App | billion RMB | 100 | 15 | ||
| Total bill discounting recorded by New-Generation Intelligent Comprehensive Bill Data Service App | billion RMB | 256.8 | 15 | ||
| Total number of complaints accepted | 105340 | 33 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Cumulative number of granted patents | No. | 35 | 56 |
| Cumulative number of registered trademarks | No. | 484 | 56 |
| Cumulative number of software copyrights | No. | 31 | 56 |
| Number of digital service products launched on Jinfuobao MSME Loan platform | digital service products | 47 | 15 |
| Number of invention patent applications filed in the current year | No. | 111 | 56 |
| Number of trademarks registered abroad | No. | 82 | 56 |
| Number of trademarks registered in China | No. | 402 | 56 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number of new (or substantially changed) product and service reviews (Head office) | No. | 214 | 172 | 296 | 55 |
| Shortened average credit granting time per loan by Digital Intelligent Review Management Platform | hours | 1.4 | 15 | ||
| Shortened average review time per loan by Digital Intelligent Review Management Platform | hours | 2.22 | 15 | ||
| Shortened financing period via Jinfuobao MSME Loan platform | days | 1-2 | 15 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Coverage of electronic credit card statements | / | 100% | 100% | 100% | 62 |
| Percentage of IT infrastructure certifications (e.g., ISO27001 certification) obtained by the IT infrastructure in management system certifications should be obtained | / | 100% | 100% | 56 |
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 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Capital adequacy ratio | 12.93% | 12.89% | 11.60% | 11 | |
| General Meeting of Shareholders shareholders | No. | 3 | 6 | 5 | 46 |
| Gross assets | billion RMB | 2821.93 | 4 | ||
| Gross assets year-on-year increase | % | 14.66 | 4 | ||
| Provision coverage | % | 182.19 | 4 | ||
| Total tax | RMB (100 million) | 96.46 | 117.98 | 126.54 | 11 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number of ESG issues reviewed by the board | No. | 6 | 7 | 6 | 46 |
| Number of board meetings | No. | 10 | 16 | 14 | 11, 46 |
| Proportion of risks identified by Big Data Risk Control Platform | 95.07% | 15 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Anti-money laundering trainings | No. | 241 | 356 | 645 | 57 |
| Number of employees receiving anti-money laundering training | No. | 15518 | 41217 | 57844 | 57 |
| Number of executive directors | No. | 2 | 4 | 3 | 46 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Financial literacy activities | No. | 1172 | 4602 | 12000 | 55 |
| Green loan balance | RMB (100 million) | 785.26 | 1042.44 | 1459.23 | 11, 58 |
| Green services loan balance | RMB (100 million) | 11.17 | 6.06 | 24.72 | 58 |
| Loan balance of the 'Two High and One Excess' industries | RMB (100 million) | 390.12 | 464.67 | 530.48 | 58 |
| Others (e.g., helping disadvantaged groups) | RMB (10 thousand) | 628.96 | 57 | ||
| Size of green bonds | RMB (100 million) | 100 | 58 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Amount granted to individual businesses | billion RMB | 9.05 | 4 | ||
| Amount issued in green bond | billion RMB | 10 | 4 | ||
| Donations | RMB (10 thousand) | 3362.77 | 1738.69 | 2548.08 | 11, 57 |
| Educational and cultural donations | RMB (10 thousand) | 1778.53 | 57 | ||
| Employee volunteer hours | million hours | 25.4808 | 4 | ||
| Healthcare and sanitation donations | RMB (10 thousand) | 140.59 | 57 | ||
| Percentage of donations in total profit | / | 0.27% | 0.12% | 0.16% | 57 |
| Social contribution per share | RMB | 3.6 | 3.82 | 4.13 | 11 |
| Volunteer hours of employees | hour | 3149 | 4570 | 4633 | 57 |
| Y-o-Y increase in green loans | RMB (100 million) | 246.48 | 257.18 | 416.79 | 58 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | ton | 0.05 |
| NOₓ Emissions | ton | 8.52 |
| SOₓ Emissions | ton | 0.34 |
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 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons of CO2 equivalent | 324.27 | 335.55 | 3187.87 |
| Indirect Energy Emissions (Scope 2) | tons of CO2 equivalent | 19248.64 | 16420.28 | 43237.7 |
| Total GHG Emissions | tons of CO2 equivalent | 19572.91 | 16755.83 | 46425.57 |
| Total GHG Emissions Intensity (By Area) | tons of CO2 equivalent/m² | 0.18 | 0.15 | 0.06 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Total Hazardous Waste | ton | 0.0952 | 0.5992 | 26.43 |
| Total Hazardous Waste Intensity (By Area) | t/m² | 0.0000009 | 0.0000054 | 0.000035 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | ton | 1380.3 | 1656.5 | 4936.82 |
| Non-Hazardous Waste (Electronic Waste) | ton | 49.07 | 61.88 | |
| Non-Hazardous Waste (Kitchen Waste) | ton | 425 | 344 | 1517.06 |
| Non-Hazardous Waste Disposed | ton | 1854.37 | 2000.5 | 6577.98 |
| Total Non-Hazardous Waste Intensity (By Area) | t/m² | 0.0166 | 0.0179 | 0.0087 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Ammonia Nitrogen Emissions Reduction Compared to Last Year | ton | 7.41 | 739.94 | 723.94 |
| CO2 Emissions Reduction Compared to Last Year | ton | 61500.03 | 90681.14 | 80770.21 |
| SO2 Emissions Reduction Compared to Last Year | ton | 126.86 | 776.45 | 1278.11 |
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 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Diesel Fuel Consumption | L | 1825 | 6587 | 8109.96 |
| Energy Consumption Intensity (By Area) | MWh/m² | 0.28 | 0.34 | 0.59 |
| Gasoline Consumption | L | 17013.08 | 20409.86 | 622186.35 |
| Natural Gas Consumption | m³ | 129081.95 | 125071 | 825250.12 |
| Total Energy Consumption | MWh | 31004.91 | 37461.6 | 442815.8 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Water Consumption in Office | ton | 147436 | 171454 | 1673433.65 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Energy Consumption Reduction Compared to Last Year | ton coal equivalent | 31692.29 | 42794.74 | 36814.44 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Total Investment in Ecological Restoration | RMB (100 million) | 1226.46 | 1276.07 | 1674.52 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Contractors | No. | 413 | 341 | 438 |
| Number of Employees Aged 30-50 | No. | 10701 | 11098 | 12813 |
| Number of Employees Aged Above 50 | No. | 656 | 688 | 835 |
| Number of Employees Aged Below 30 | No. | 3289 | 3516 | 3758 |
| Number of Employees in Mainland China | No. | 14578 | 15230 | 17328 |
| Number of Employees in Overseas | No. | 68 | 72 | 78 |
| Number of Female Employees | No. | 6967 | 7297 | 8420 |
| Number of Male Employees | No. | 7679 | 8005 | 8986 |
| Number of New Employees | No. | 1648 | 1923 | 3153 |
| Number of New Employees (Above 50) | No. | 4 | 7 | 10 |
| Number of New Employees (Aged 30-50) | No. | 760 | 1015 | 1889 |
| Number of New Employees (Aged Below 30) | No. | 884 | 901 | 1254 |
| Number of New Employees (Female) | No. | 723 | 885 | 1544 |
| Number of New Employees (Mainland China) | No. | 1633 | 1901 | 3130 |
| Number of New Employees (Male) | No. | 925 | 1038 | 1609 |
| Number of New Employees (Overseas) | No. | 15 | 22 | 23 |
| Number of Total Employees | No. | 14466 | 15302 | 17406 |
| Percentage of Female Employees | % | 47.57 | 47.69 | 48.37 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 5.93 | 6.76 | 5.27 |
| Turnover Rate of Employees Aged Above 50 | % | 6.26 | 4.97 | 8.14 |
| Turnover Rate of Employees Aged Below 30 | % | 6.89 | 10.83 | 6.52 |
| Turnover Rate of Female Employees | % | 5.9 | 7.07 | 4.76 |
| Turnover Rate of Male Employees | % | 7.27 | 8.17 | 6.53 |
| Turnover Rate of Total Employees | % | 6.62 | 7.65 | 5.68 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 276 | 327 | 1178 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Total Cost of Training | RMB (10 thousand) | 2261.69 | 2588.62 | 2664.03 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Average Training Hours (Female) | hour | 57.06 | ||
| Average Training Hours (General Staff) | hour | 54.52 | ||
| Average Training Hours (Male) | hour | 51.87 | ||
| Average Training Hours (Senior Management) | hour | 39.37 | ||
| Average Training Hours per Employee | hour | 57.83 | 62.61 | 64.9 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Suppliers in Central China | No. | 85 | 95 | 125 |
| Number of Suppliers in Northeast China | No. | 18 | 22 | 27 |
| Number of Suppliers in West China | No. | 100 | 109 | 145 |
| Number of Total Suppliers | No. | 2165 | 2394 | 2854 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Complaint Growth Rate | % | 284.73 | 496.67 | |
| Complaints Handling Rate | % | 100 | ||
| Number of Complaints Dealt with | 105340 | |||
| Satisfaction Rate of Customer Complaint Handling | % | 99.85 | ||
| Total Number of Customer Complaints | No. | 4590 | 17662 | 105340 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Accumulative Number of Patents Granted | No. | 35 |
| Number of Patents Applied | No. | 111 |
| Number of Trademark Registrations | No. | 484 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Anti-corruption Training Session | No. | 241 | 356 | 645 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | No. | 15518 | 41217 | 57844 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Total Volunteer Service Hours | hour | 3149 | 4570 | 25480800 |