Environmental, Social and Governance Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Annual sulfur dioxide emissions reduction from Tianwan Nuclear Power Station Units 7 and 8 project | tons | 129300 | 56 |
| Carbon finance - cumulative trading volume in carbon trading market | million tons | 88 | 18 |
| Carbon finance - trading volume in carbon trading market in 2024 | million tons | 13 | 18 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Annual carbon dioxide emissions reduction from Tianwan Nuclear Power Station Units 7 and 8 project | million tons | 17.25 | 56 | |||
| GHG emissions (Scope 1 + Scope 2) | tCO2e | 45158.45 | 63 | |||
| GHG emissions (Scope 1 + Scope 2) of Guotai Junan Group | tons CO2e | 45158.45 | 19 | |||
| GHG emissions per unit area (Scope 1 + 2) | kgCO2e/m² | 85.11 | 101.2 | 93.06 | 64 | |
| GHG emissions per unit area (Scope 1 + Scope 2) | kg CO2e/m², kgCO2e/sq.m | 93.06 | 19, 63 | |||
| Per capita GHG emissions (Scope 1 + 2) | kgCO2e/person | 2732.24 | 3116.33 | 3109.44 | 64 | |
| Scope 1 GHG emissions | tCO2e | 2109.56 | 5347.64 | 3666.11 | 64 | |
| Scope 2 GHG emissions | tCO2e | 37486.04 | 41665.27 | 41492.34 | 64 | |
| Target for comprehensive statistical capabilities for Scope 3 GHG emissions | by 2025 | 63 | ||||
| Total GHG emissions (Scope 1 + 2) | tCO2e | 39595.6 | 47012.91 | 45158.45 | 64 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste per capita | kg/employee | 0.14 | 0.04 | 72 | |
| Toner cartridge | Piece | 250 | 4191 | 4020 | 72 |
| Total hazardous waste | kg | 2138 | 546 | 72 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Domestic garbage | Tons | 400 | 910.19 | 911.46 | 72 |
| Electronic waste | Piece | 1069 | 273 | 72 | |
| Kitchen garbage | Tons | 250 | 608.62 | 893.48 | 72 |
| Non-hazardous waste per capita | Tons/employee | 0.05 | 0.11 | 0.13 | 72 |
| Total non-hazardous waste | Tons | 652.55 | 1609.96 | 1874.24 | 72 |
| Waste paper | Tons | 2.4 | 88.63 | 66.9 | 72 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2024-2030 | 2025 | 2031-2060 | Report Pages |
|---|---|---|---|---|---|---|
| Average annual amount of capital demand for carbon peak and carbon neutrality (2024-2030) | RMB | 3600000000000 | 52 | |||
| Average annual amount of capital demand for carbon peak and carbon neutrality (2031-2060) | RMB | 1100000000000 | 52 | |||
| Carbon dioxide emission reduction from BYD green auto loan ABS | tons per year | 140700 | 56 | |||
| China's total capital demand for carbon peak and carbon neutrality (2024-2030) | RMB | 25250000000000 | 52 | |||
| China's total capital demand for carbon peak and carbon neutrality (2031-2060) | RMB | 82430000000000 | 52 | |||
| GHG emissions (Scope 1 + Scope 2) reduction compared with 2023 | % | -3.94 | 5 | |||
| GHG emissions per unit area (Scope 1 + Scope 2) decrease compared with 2023 | % | -8.04 | 63 | |||
| GHG emissions per unit area (Scope 1 + Scope 2) reduction compared with 2023 | % | -3.94 | 5, 63 | |||
| GHG emissions per unit area (Scope 1 + Scope 2) reduction target compared with 2023 | % | 2 | 3 | 63 | ||
| Number of carbon-neutral bonds underwritten | 27 | 56 | ||||
| Operational carbon neutrality achieved by Guotai Junan International | second consecutive year | 5 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Clean energy usage | MWh | 3144.59 | 3323.03 | 69 | |
| Diesel consumption per capita | Liter/employee | 0.37 | 0.51 | 68 | |
| Diesel consumption per unit area | Liter/sq.m. | 0.0121 | 0.0153 | 68 | |
| Diesel energy consumption | tons of standard coal | 6.88 | 9.09 | 69 | |
| Direct energy consumption | tons of standard coal | 1085.37 | 1012.06 | 69 | |
| Electricity consumption per capita | kWh/employee | 4580.22 | 4577.44 | 5072.43 | 69 |
| Electricity consumption per unit area | kWh/sq.m. | 142.68 | 148.65 | 151.82 | 68 |
| Electricity energy consumption | tons of standard coal | 20820.16 | 22210.56 | 69 | |
| Energy consumption per capita | kg of standard coal / employee | 1488.33 | 1631.43 | 69 | |
| Energy consumption per gross floor area by unit of Guotai Junan's headquarters and branches in Shanghai | tons of standard coal per square meter | No more than 0.0885 | 68 | ||
| Energy consumption per unit area | kg of standard coal / sq.m. | 48.33 | 48.83 | 69 | |
| Gasoline consumption per capita | Liter/employee | 42.71 | 38.11 | 68 | |
| Gasoline consumption per unit area | Liter/sq.m. | 1.39 | 1.14 | 68 | |
| Gasoline energy consumption | tons of standard coal | 692.02 | 594.57 | 69 | |
| Indirect energy consumption | tons of standard coal | 21367.57 | 22681.15 | 69 | |
| Municipal heating energy consumption | tons of standard coal | 547.41 | 470.59 | 69 | |
| Natural gas consumption | Cu.m. | 234287.54 | 290580 | 307067 | 68 |
| Natural gas consumption per capita | Cu.m./employee | 16.17 | 19.26 | 21.14 | 68 |
| Natural gas consumption per unit area | Cu.m./sq.m. | 0.5 | 0.63 | 0.63 | 68 |
| Natural gas energy consumption | tons of standard coal | 386.47 | 408.4 | 69 | |
| Natural gas usage ratio | % | 1.72 | 1.72 | 69 | |
| PUE value of data centers | 1.71 | 5 | |||
| PUE value of own data centers | 1.71 | 19 | |||
| Total diesel consumption | Liter | 5618 | 7242.12 | 68 | |
| Total energy consumption | tons of standard coal | 22452.94 | 23693.21 | 69 | |
| Total energy consumption of Guotai Junan's headquarters and branches in Shanghai | tons of standard coal | No more than 14488.43 | 68 | ||
| Total financing scale of ESG pledge financing projects | billion RMB | 3.352 | 56 | ||
| Total gasoline consumption | Liter | 644265.12 | 553538 | 68 | |
| Total power consumption | kWh | 66376550.9 | 69055251.65 | 73666861.58 | 68 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Per capita water consumption | cu.m./employee | 13.92 | 19 | ||
| Total water consumption | Cu.m. | 237466.2 | 234953.01 | 202181.12 | 70 |
| Water consumption per capita | Cu.m./employee | 16.39 | 15.57 | 13.92 | 70 |
| Water consumption per unit area | Cu.m./sq.m. | 0.51 | 0.51 | 0.42 | 70 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Company's own data centers saved energy | million kilowatt-hours | 7.25 | 5 |
| Energy saved by own data centers | million kilowatt-hours | 7.25 | 19 |
| Standard coal saved from BYD green auto loan ABS | tons | 73500 | 56 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Best Investment Bank in Practicing ESG organized by the 16th NewFortune | Awarded | 25 | ||
| Issuance scale of carbon-neutral bonds | billion RMB | 15.825 | 56 | |
| Issuance scale of green bonds | billion RMB | 175.5 | 56 | |
| Number of green ABS products issued by Guotai Junan Asset Management | 5 | 56 | ||
| Number of green bonds underwritten | 85 | 56 | ||
| Number of green equity financing projects completed | 17 | 56 | ||
| Number of green equity investment projects in operation | 13 | 52 | ||
| Scale of green bond investment | RMB | 18802000000 | 52 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee satisfaction (overall score) | % | 85.7 | 122 | ||
| Jinding Award of ESG Pioneers Among Securities Company of the Year | Awarded | 25 | |||
| Labor contract signing rate | % | 100 | 100 | 100 | 123 |
| Number of employees aged 30 to 50 | Person | 9196 | 10359 | 9839 | 123 |
| Number of employees aged <30 | Person | 4191 | 3330 | 3497 | 123 |
| Number of employees aged >50 | Person | 1105 | 1397 | 1187 | 123 |
| Number of employees in Hong Kong, Macau, Taiwan and overseas | Person | 715 | 771 | 797 | 123 |
| Number of employees in Mainland China | Person | 13777 | 14315 | 13726 | 123 |
| Number of employees with Bachelor | Person | 7205 | 7249 | 6835 | 123 |
| Number of employees with College and below | Person | 1559 | 1376 | 1083 | 123 |
| Number of employees with Doctorate | Person | 162 | 169 | 166 | 123 |
| Number of employees with Master | Person | 5566 | 6292 | 6439 | 123 |
| Number of employees with disabilities | Person | —— | 2 | 7 | 123 |
| Number of ethnic minority employees | Person, person | 562 | 594 | 527 | 111, 123 |
| Number of ethnic minority employees among new employees | person | 84 | 18 | 111 | |
| Number of female employees | Person | 6501 | 6756 | 6552 | 122 |
| Number of female employees among new employees | person | 818 | 398 | 111 | |
| Number of female managers | Person | 212 | 235 | 246 | 123 |
| Number of full-time employees | Person | 14492 | 15086 | 14523 | 122 |
| Number of male employees | Person | 7991 | 8330 | 7971 | 122 |
| Number of male managers | Person | 486 | 506 | 512 | 123 |
| Number of managers | Person | 698 | 741 | 758 | 123 |
| Number of new employees | person | 1895 | 881 | 111 | |
| Number of new employees aged 30 to 50 | Person | 769 | 738 | 295 | 123 |
| Number of new employees aged <30 | Person | 1096 | 1145 | 575 | 123 |
| Number of new employees aged >50 | Person | 6 | 12 | 11 | 123 |
| Number of new employees in Hong Kong, Macau, Taiwan and overseas | Person | 160 | 165 | 147 | 123 |
| Number of new employees in Mainland China | Person | 1711 | 1730 | 734 | 123 |
| Number of new ethnic minority employees | Person | —— | 84 | 18 | 123 |
| Number of new female employees | Person | 773 | 818 | 398 | 123 |
| Number of new graduates among new employees | person | 615 | 356 | 111 | |
| Number of new male employees | Person | 1098 | 1077 | 483 | 123 |
| Number of newly recruited fresh graduates | Person | 548 | 615 | 356 | 123 |
| Percentage of employees with master's and doctoral degrees | % | 45.48 | 21, 122 | ||
| Percentage of female employees | % | 44.78 | 45.11 | 21, 111, 122 | |
| Proportion of Fintech talents | % | 10.89 | 20 | ||
| Retained scale of ESG public funds | RMB | 8600000000 | 52 | ||
| Social insurance coverage rate | % | 100 | 100 | 100 | 123 |
| Total number of employees | Person | 14492 | 15086 | 14523 | 21, 122 |
| Total number of new employees | Person | 1871 | 1895 | 881 | 123 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate | % | 9.72 | 8.17 | 9.87 | 122, 123 |
| Employee turnover rate (female) | % | 8.29 | 7.84 | 9.26 | 123 |
| Employee turnover rate (male) | % | 10.89 | 8.43 | 10.36 | 123 |
| Employee turnover rate by age group: Aged 30 to 50 | % | 8.42 | 7.29 | 7.65 | 124 |
| Employee turnover rate by age group: Aged <30 | % | 13.34 | 12.1 | 12.5 | 124 |
| Employee turnover rate by age group: Aged >50 | % | 6.88 | 5.3 | 20.47 | 124 |
| Employee turnover rate by region: Hong Kong, Macau, Taiwan and overseas | % | 39.58 | 22.44 | 15.18 | 124 |
| Employee turnover rate by region: Mainland China | % | 8.17 | 7.4 | 9.56 | 124 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of work-related injuries | Time | 6 | 6 | 124 |
Lost days due to work injury.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of working days lost due to work-related injuries | Day | 276 | 400 | 124 |
| Working days lost due to work-related injuries | days | 400 | 122 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee physical examination coverage rate | % | 100 | 100 | 100 | 124 |
| Employee work-related injury insurance coverage rate | % | 100 | 100 | 100 | 124 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee training coverage rate | % | 100 | 100 | 100 | 125 |
| Employee training coverage rate by employee category: Middle management | % | 2.49 | 2.61 | 2.7 | 125 |
| Employee training coverage rate by employee category: Ordinary employee | % | 97.45 | 97.28 | 97.16 | 125 |
| Employee training coverage rate by employee category: Senior management | % | 0.06 | 0.11 | 0.14 | 125 |
| Employee training coverage rate by gender: Female | % | 45.97 | 45.66 | 45.98 | 125 |
| Employee training coverage rate by gender: Male | % | 54.03 | 54.34 | 54.02 | 125 |
| Number of company employees involved in ESG salon event on December 6, 2024 | employees | over 100 | 32 | ||
| Number of employees participated in ESG and sustainability trainings (2024) | employees | 2362 | 32 | ||
| Number of employees participating in ACCA+CFA climate finance certification training | employees | 200 | 32 | ||
| Number of participants in ESG Lecture (Phase 5) sharing event | participants | 120 | 32 | ||
| Number of participants in ESG Lecture (Phase 6) sharing event | participants | 125 | 32 | ||
| Number of participants in ESG Lecture (Phase 7) sharing event | participants | 101 | 32 | ||
| Number of participants in ESG Lecture (Phase 8) sharing event | participants | 132 | 32 | ||
| Number of participants in ESG Training Camp for Finance Executives on Green Transformation | participants | 250 | 32 | ||
| Number of trainees in Guotai Junan-Tsinghua University 2024 Advanced Training Course on ESG and Sustainable Development | trainees | 55 | 32 | ||
| Person-times of employee training | Person-time | 778898 | 590615 | 576358 | 124 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours per employee | hours | 54.13 | 122 | ||
| Average training time per employee | Hour | 68.01 | 66.51 | 54.13 | 125 |
| Average training time per employee by employee category: Management employee | Hour | —— | 52.19 | 40.29 | 125 |
| Average training time per employee by employee category: Ordinary employee | Hour | 68.47 | 66.91 | 54.53 | 125 |
| Average training time per employee by gender: Female | Hour | 67.49 | 65.78 | 54.05 | 125 |
| Average training time per employee by gender: Male | Hour | 68.46 | 67.13 | 54.19 | 125 |
| Employee training expenditure | RMB | 2694500 | 122 | ||
| Employee training hours conducted | million hours | 1.128 | 5 | ||
| Offline training hours for employees | hours | 326000 | 21 | ||
| Online training hours for employees | hours | 802000 | 21 | ||
| Total ESG and sustainability training hours accumulated (2024) | hours | 9422 | 32 | ||
| Total employee training expenditure | RMB 10000 | 2169 | 4424.19 | 2269.45 | 124 |
| Total training hours for employees | hours | 1128000 | 21 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Balance of accounts payable (including notes payable) | RMB 100 million | 1588.09 | 1673.73 | 2013.56 | 88 |
| Balance of accounts payable (including notes payable) as a percentage of total assets | % | 18.45 | 18.09 | 19.22 | 88 |
| Fintech investment as percentage of operating income | % | 8.93 | 20 | ||
| Inclusive finance - Jiuhong APP users exceeded | million users | 4.1 | 18 | ||
| Inclusive finance - NEEQ listings | listings | 22 | 18 | ||
| Inclusive finance - equity financing projects on stock exchanges | projects | 24 | 18 | ||
| Inclusive finance - new customers acquired by Jiuhong APP | customers | 495000 | 18 | ||
| Inclusive finance - private enterprises stock exchanges | private enterprises | 17 | 18 | ||
| Inclusive finance - private placements | private enterprises | 21 | 18 | ||
| Inclusive finance - recommended NEEQ-listed projects | projects | 22 | 18 | ||
| Increase in green asset custody outsourcing scale (bilateral) from 2023 | % | 173.91 | 52 | ||
| Increase in scale of green bond investment from 2023 | % | 19.28 | 52 | ||
| Suppliers from Hong Kong, Macau, Taiwan, and Overseas | Suppliers | 304 | 378 | 88 | |
| Suppliers from Mainland China | Suppliers | 876 | 3798 | 88 | |
| Sustainable investment - accumulated amount of thematic public funds | funds | 12 | 18 | ||
| Sustainable investment - asset custody outsourcing scale | billion RMB | 89.973 | 18 | ||
| Sustainable investment - green bond investment scale | billion RMB | 182.02 | 18 | ||
| Sustainable investment - increase in asset custody outsourcing scale compared with 2023 | 173.91% | 18 | |||
| Sustainable investment - increase in green bond investment scale compared with 2023 | 19.28% | 18 | |||
| Sustainable investment - investment scale amount | billion RMB | 1209.07 | 18 | ||
| Sustainable investment - retained scale of ESG public funds | billion RMB | 8.6 | 18 | ||
| Sustainable investment - total size of thematic public funds | billion RMB | 10.552 | 18 | ||
| Total number of suppliers | Suppliers | 1180 | 4176 | 88 | |
| Underwriting scale of IPO projects in new energy industry | billion RMB | 1.628 | 56 | ||
| Underwriting scale of carbon-neutral bonds | billion RMB | 7.749 | 56 | ||
| Underwriting scale of equity financing projects in new energy industry | billion RMB | 7.625 | 56 | ||
| Underwriting scale of green bonds | billion RMB | 29.636 | 56 | ||
| Underwriting scale of green equity financing projects | billion RMB | 8.577 | 56 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Green asset custody outsourcing scale (bilateral) | RMB | 9973000000 | 52 |
| Investment scale incorporating ESG factors | RMB | 1020970000000 | 52 |
| Investment scale of green equity investment projects | RMB | 454000000 | 52 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of suppliers that conducted environmental impact assessments | Suppliers | 284 | 595 | 88 |
| Number of suppliers that conducted social impact assessments | Suppliers | 320 | 380 | 88 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Total scale of ESG-themed public funds | RMB | 10552000000 | 52 |
| Total scale of green ABS products issued by Guotai Junan Asset Management | billion RMB | 4.791 | 56 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of ESG-themed public funds issued | 12 | 52 | |||
| Number of IPO projects in new energy industry | 2 | 56 | |||
| Number of customer complaints | complaints | 540 | 531 | 1334 | 94 |
| Number of customer inquiries | 10000 person-times | 373.38 | 443.91 | 802.72 | 94 |
| Number of reads and clicks for investment education products | reads and clicks | 244000000 | 20 | ||
| Percentage of customer satisfaction | % | 97.3 | 96.67 | 94 | |
| Serving Shanghai - bond underwriting amount | billion RMB | 190 | 18 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of Fintech software copyrights granted | software copyrights | 138 | 20 |
| Number of patents for Fintech inventions granted | patents | 32 | 20 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Complaint handling ratio | % | 100 | 100 | 100 | 94 |
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 | 2022 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of ESG pledge financing projects completed | 21 | 56 | ||
| Number of ESG public funds introduced for distribution | 787 | 52 | ||
| Number of concluded legal cases regarding corrupt practices brought against the Group and its employees | case | 1 | 144 | |
| Number of equity financing projects in new energy industry | 10 | 56 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2024 | Report Pages |
|---|---|---|---|---|
| Admission to Green Securities Cases of 3rd Green Finance Forum | Awarded | 25 | ||
| Demonstration State-owned Enterprise of Corporate Governance | Awarded | 25 | ||
| International credit rating (Moody's) | Baa1 | 21 | ||
| International credit rating (S&P) | BBB+ | 21 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Hours of anti-bribery and anti-corruption training received per employee | hours | 20.54 | 9.53 | 4.21 | 144 |
| Number of directors participating in anti-bribery and anti-corruption trainings | person | 17 | 17 | 16 | 144 |
| Number of directors participating in anti-bribery and anti-corruption trainings as a percentage of total directors | % | 100 | 100 | 100 | 144 |
| Number of employees participating in anti-bribery and anti-corruption trainings | person | 10969 | 13173 | 11068 | 144 |
| Number of employees participating in anti-bribery and anti-corruption trainings as a percentage of total employees | % | 75.69 | 87.32 | 76.21 | 144 |
| Number of management personnel involved in anti-bribery and anti-corruption | person | 321 | 144 | ||
| Number of training sessions related to anti-bribery and anti-corruption | session | 33 | 37 | 16 | 144 |
| Proportion of management personnel involved in anti-bribery and anti-corruption as a percentage of the total number of management personnel | % | 42.35 | 144 | ||
| Total hours of anti-bribery and anti-corruption training received by all Directors | hour | 17 | 17 | 16 | 144 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|
| 2022-2023 Social Responsibility (ESG) Top 10 Reports of Shanghai State-owned Assets System | Awarded | 25 | ||||
| 2023 China Corporate ESG Golden Responsibility Award | Awarded | 25 | ||||
| 2023 Evergreen Awards Sustainable Development Inclusive Award | Awarded | 25 | ||||
| 2023-2024 Social Responsibility (ESG) Top 10 Cases of Shanghai State-owned Assets System | Awarded | 25 | ||||
| 2024 Golden Bull Award for ESG of Securities Industry | Awarded | 25 | ||||
| Admission to the Chinese ESG Pioneer 100 of Listed Companies | Awarded | 25 | ||||
| Admission to the Financial Pioneer 30 of Chinese ESG Listed Companies | Awarded | Awarded | 25 | |||
| Admission to the Local State-owned Enterprises (SOE) Social Responsibility Pioneer 100 Index and the Local ESG SOE Social Responsibility Excellent Case of the Year | Awarded | 25 | ||||
| Admission to the State-owned Enterprises (SOE) Social Responsibility Pioneer 100 Index and the ESG Pioneer 100 Index of Listed SOE | Awarded | Awarded | 25 | |||
| Admission to the Yangtze River Delta Pioneer 50 of Chinese ESG Listed Companies | Awarded | 25 | ||||
| Class A, Grade A rating for cultural construction practices by China Securities Association | Class A, Grade A | 21 | ||||
| ESG 50 released by Forbes China | Awarded | 25 | ||||
| ESG Finance Award of the Year of 2023 Cailianshe Green Water Award | Awarded | 25 | ||||
| ESG Finance Award of the Year of 2024 Cailianshe Green Water Award | Awarded | 25 | ||||
| Future ESG Award for Annual Outstanding Contribution to Society | Awarded | 25 | ||||
| Number of investor education activities organized | activities | 5262 | 20 | |||
| Number of original investment education products released | products | 1300 | 20 | |||
| Number of participants in investor education activities | participants | 11550000 | 20 | |||
| Number of young people covered by investor education activities | people | 117500 | 20 | |||
| Pension finance - connected with individual pension fund managers | fund managers | 55 | 18 | |||
| Pension finance - launched pension targeted funds | funds | 10 | 18 | |||
| Pension finance - supported banks with linked personal pension accounts | banks | 18 | 18 | |||
| Pension finance - total size of pension targeted funds products | billion RMB | 6.6 | 18 | |||
| People benefiting from rural revitalization investment | people | 128000 | 5 | |||
| Proportion of total investment scale incorporating ESG factors | % | 82.26 | 52 | |||
| Proportion of total number of ESG public funds in the market | % | 74 | 52 | |||
| Serving Shanghai - enterprises assisted in Sci-Tech Innovation Board and Growth Enterprise Market | enterprises | 48 | 18 | |||
| The 2nd Shanghai Charity Awards for Charitable Projects and Charitable Trusts | Awarded | 25 | ||||
| Top 10 Cases and Top 10 Reports of Social Responsibility Work of Shanghai State-owned Assets System | Awarded | 25 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Amount invested in Fintech | billion RMB | 2.108 | 20 | ||
| Amount invested in employee work-related injury insurance | RMB 10000 | 166.51 | 207.54 | 228.73 | 124 |
| Amount of rural revitalization investments | million RMB | 24.5411 | 20 | ||
| Amount of social welfare investment | million RMB | 836.6109 | 20 | ||
| Amount of social welfare investment: culture and sports | RMB10000 | 76.75 | 484.85 | 75 | |
| Amount of social welfare investment: education assistance | RMB10000 | 1566.91 | 1413.82 | 75 | |
| Amount of social welfare investment: environmental protection | RMB10000 | 34.9 | 75 | ||
| Amount of social welfare investment: medical and health | RMB10000 | 228.16 | 1.18 | 75 | |
| Amount of social welfare investment: other areas | RMB10000 | 1355.96 | 1726.34 | 75 | |
| Community investment amount | RMB10000 | 3300.75 | 3227.78 | 3661.09 | 75 |
| Donation Enterprise Award of 12th China Charity Award | Awarded | 25 | |||
| Donation Enterprise Award of Shanghai Charity Award in the first session | Awarded | 25 | |||
| Number of employee volunteers | Times | 6584 | 1086 | 1355 | 75 |
| Number of employees involved in social welfare investment | employees | 1355 | 20 | ||
| Number of people benefiting from rural revitalization investments | people | 128000 | 20 | ||
| Planned investment in public welfare | million RMB | 36.6109 | 5 | ||
| Planned investment in rural revitalization | million RMB | 24.5411 | 5 | ||
| Sustainable financing - China Construction Bank green financial bonds | billion RMB | 20 | 18 | ||
| Sustainable financing - ESG bonds underwriting scale | billion RMB | 29.636 | 18 | ||
| Sustainable financing - ESG equity financing projects | projects | 17 | 18 | ||
| Sustainable financing - ESG pledge financing projects | projects | 21 | 18 | ||
| Sustainable financing - ESG pledge financing total financing scale | billion RMB | 3.532 | 18 | ||
| Sustainable financing - ESG themed-related trusts | trusts | 5 | 18 | ||
| Sustainable financing - ESG themed-related trusts total scale | billion RMB | 4.791 | 18 | ||
| Sustainable financing - Zhiji Automobile series B financing | billion RMB | 4 | 18 | ||
| Sustainable financing - auto loan ABS | billion RMB | 6.5 | 18 | ||
| Sustainable financing - green infrastructure public REITs projects as fund manager | projects | 2 | 18 | ||
| Technological finance - accumulated investment in sub-funds | sub-funds | 52 | 18 | ||
| Technological finance - equity financing for technological innovation enterprises | billion RMB | 20 | 18 | ||
| Technological finance - facilitating development of technological innovation enterprises | enterprises | 1000 | 18 | ||
| Technological finance - fund market exceeding | billion RMB | 30 | 18 | ||
| Technological finance - investment in over technological innovation enterprises | enterprises | 150 | 18 | ||
| Technological finance - underwriting of technological innovation bonds | billion RMB | 53.33 | 18 | ||
| Total hours volunteered by employees | Hour | 26336 | 4345 | 5422 | 75 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| SOₓ Emissions | tons | 129300 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 2109.56 | 5347.64 | 3666.11 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 37486.04 | 41665.27 | 41492.34 |
| Total GHG Emissions | tCO2e | 39595.6 | 47012.91 | 45158.45 |
| Total GHG Emissions Intensity (By Area) | kgCO2e/m² | 85.11 | 101.2 | 93.06 |
| Total GHG Emissions Intensity (By Employee) | kgCO2e/person | 2732.24 | 3116.33 | 3109.44 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Hazardous Waste | kg | 2138 | 546 |
| Total Hazardous Waste Intensity (By Employee) | kg/employee | 0.14 | 0.04 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | Tons | 400 | 910.19 | 911.46 |
| Non-Hazardous Waste (Kitchen Waste) | Tons | 250 | 608.62 | 893.48 |
| Paper Waste | Tons | 2.4 | 88.63 | 66.9 |
| Total Non-Hazardous Waste Disposed | Tons | 652.55 | 1609.96 | 1874.24 |
| Total Non-Hazardous Waste Intensity (By Employee) | Tons/employee | 0.05 | 0.11 | 0.13 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2025 |
|---|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons per year | 140700 | |
| Percentage of Reduction in GHG Intensity Compared to Last Year | % | -8.04 | |
| Reduction in GHG Intensity Compared to Last Year (By Area) | % | -8.04 | |
| Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | -3.94 | |
| Target Scope 1 and 2 Emissions Reduction Percentage Compared to Last Year | % | 2 | 3 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Diesel Fuel Consumption | Liter | 5618 | 7242.12 | |
| Direct Energy Intensity (By Area) | Liter/sq.m. | 0.0121 | 0.0153 | |
| Direct Energy Intensity (By Employee) | Liter/employee | 0.37 | 0.51 | |
| Energy Consumption Intensity (By Area) | kg of standard coal / sq.m. | 48.33 | 48.83 | |
| Energy Consumption Intensity (By Employee) | kg of standard coal / employee | 1488.33 | 1631.43 | |
| Gasoline Consumption | Liter | 644265.12 | 553538 | |
| Indirect Energy Intensity (By Area) | Liter/sq.m. | 1.39 | 1.14 | |
| Indirect Energy Intensity (By Employee) | Liter/employee | 42.71 | 38.11 | |
| Natural Gas Consumption | Cu.m. | 234287.54 | 290580 | 307067 |
| Purchased Electricity | kWh | 69055251.65 | 73666861.58 | |
| Purchased Electricity Intensity (By Area) | kWh/sq.m. | 142.68 | 148.65 | 151.82 |
| Purchased Electricity Intensity (By Employee) | kWh/employee | 4580.22 | 4577.44 | 5072.43 |
| Total Direct Energy Consumption | tons of standard coal | 1085.37 | 1012.06 | |
| Total Energy Consumption | tons of standard coal | 22452.94 | 22452.94 | 23693.21 |
| Total Indirect Energy Consumption | tons of standard coal | 21367.57 | 22681.15 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | Cu.m. | 237466.2 | 234953.01 | 202181.12 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 258380 |
| Energy Consumption Reduction Compared to Last Year | million kWh | 7.25 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | Person | 9196 | 10359 | 9839 |
| Number of Employees Aged Above 50 | Person | 1105 | 1397 | 1187 |
| Number of Employees Aged Below 30 | Person | 4191 | 3330 | 3497 |
| Number of Employees in Mainland China | Person | 13777 | 14315 | 13726 |
| Number of Female Employees | Person | 6501 | 6756 | 6552 |
| Number of Full-time Employees | Person | 14492 | 15086 | 14523 |
| Number of Male Employees | Person | 7991 | 8330 | 7971 |
| Number of New Employees | Person | 1871 | 1895 | 881 |
| Number of New Employees (Above 50) | Person | 6 | 12 | 11 |
| Number of New Employees (Aged 30-50) | Person | 769 | 738 | 295 |
| Number of New Employees (Aged Below 30) | Person | 1096 | 1145 | 575 |
| Number of New Employees (Female) | Person | 773 | 818 | 398 |
| Number of New Employees (Mainland China) | Person | 1711 | 1730 | 734 |
| Number of New Employees (Male) | Person | 1098 | 1077 | 483 |
| Number of New Employees (Overseas) | Person | 160 | 165 | 147 |
| Number of Total Employees | Person | 14492 | 15086 | 14523 |
| Percentage of Female Employees | % | 44.78 | 45.11 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 8.42 | 7.29 | 7.65 |
| Turnover Rate of Employees Aged Above 50 | % | 6.88 | 5.3 | 20.47 |
| Turnover Rate of Employees Aged Below 30 | % | 13.34 | 12.1 | 12.5 |
| Turnover Rate of Employees in Mainland China | % | 8.17 | 7.4 | 9.56 |
| Turnover Rate of Female Employees | % | 8.29 | 7.84 | 9.26 |
| Turnover Rate of Male Employees | % | 10.89 | 8.43 | 10.36 |
| Turnover Rate of Total Employees | % | 9.72 | 8.17 | 9.87 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 276 | 400 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Health Check Coverage for Employees | % | 100 | 100 | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 | 100 |
| Percentage of Trained Female Employees | % | 45.97 | 45.66 | 45.98 |
| Percentage of Trained General Employees | % | 97.45 | 97.28 | 97.16 |
| Percentage of Trained Male Employees | % | 54.03 | 54.34 | 54.02 |
| Percentage of Trained Middle Management | % | 2.49 | 2.61 | 2.7 |
| Percentage of Trained Senior Management | % | 0.06 | 0.11 | 0.14 |
| Total Cost of Training | RMB | 21690000 | 44241900 | 22694500 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hour | 67.49 | 65.78 | 54.05 |
| Average Training Hours (Male) | Hour | 68.46 | 67.13 | 54.19 |
| Average Training Hours per Employee | Hour | 68.01 | 66.51 | 54.13 |
| Total Training Hours | hours | 1128000 | ||
| Training Hours of ESG | hours | 9422 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Suppliers in Hong Kong | Suppliers | 304 | 378 |
| Number of Suppliers in Mainland China | Suppliers | 876 | 3798 |
| Number of Total Suppliers | Suppliers | 1180 | 4176 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | Suppliers | 284 | 595 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaint Growth Rate | % | -1.67 | 151.22 | |
| Satisfaction Rate of Customer Complaint Handling | % | 97.3 | 96.67 | |
| Total Number of Customer Complaints | complaints | 540 | 531 | 1334 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Intellectual Property Rights Obtained by the Company | IPR | 170 |
| Number of Invention Patents | patents | 32 |
| Number of Patents Granted | patents | 32 |
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.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Concluded Corruption Lawsuits | case | 1 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Anti-corruption Training Coverage among Directors and Management | % | 100 | 100 | 100 |
| Average Anti-corruption Training Hours for General Employees | hours | 20.54 | 9.53 | 4.21 |
| Board Anti-corruption Training Duration | hour | 17 | 17 | 16 |
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 75.69 | 87.32 | 76.21 |
| Coverage of Anti-corruption Training for Employees | % | 75.69 | 87.32 | 76.21 |
| Number of Anti-corruption Training Session | session | 33 | 37 | 16 |
| Number of Directors and Management Attendance for Anti-corruption Training | person | 17 | 17 | 16 |
| Number of General Employees Attendance for Anti-corruption Training | person | 10969 | 13173 | 11068 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | person | 10969 | 13173 | 11068 |
| Total Anti-corruption Training Hours for Directors and Management | hour | 17 | 17 | 16 |
| Total Hours of Anti-corruption Training | hours per employee | 20.54 | 9.53 | 4.21 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Investment in Education Donation | RMB10000 | 1566.91 | 1413.82 | |
| Investment in Environmental Protection | RMB10000 | 34.9 | ||
| Number of Employees Participating in Volunteer Activities | employees | 1355 | ||
| Number of Participations in Volunteer Activities | Times | 1086 | 1355 | |
| Total Social Investment | RMB10000 | 3300.75 | 3227.78 | 3661.09 |
| Total Volunteer Service Hours | Hour | 26336 | 4345 | 5422 |