2024 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Equivalent to reduction of approximately NOx emission | tons | 28400 | 45 | |
| Equivalent to reduction of approximately SO2 emission | tons | 17500 | 45 | |
| Ratio of Radioactive Gaseous Effluent (Day Bay Nuclear Power Site including Daya Bay NPP, Ling Ao NPP and Lingdong NPP) | % | 0.45 | 0.46 | 49 |
| Ratio of Radioactive Gaseous Effluent (Fangchenggang Phase I Project Unit 1 & Unit 2) | % | 0.92 | 0.87 | 49 |
| Ratio of Radioactive Gaseous Effluent (Fangchenggang Phase II Project Unit 3, and Unit 4 which is under construction) | % | 3.06 | 4.04 | 49 |
| Ratio of Radioactive Gaseous Effluent (Hongyanhe Phase I Units 1-4) | % | 3.08 | 3.99 | 49 |
| Ratio of Radioactive Gaseous Effluent (Hongyanhe Phase II Unit 5 & Unit 6) | % | 2.21 | 2.09 | 49 |
| Ratio of Radioactive Gaseous Effluent (Ningde NPP) | % | 0.55 | 0.25 | 49 |
| Ratio of Radioactive Gaseous Effluent (Taishan NPP) | % | 2.9 | 4.41 | 49 |
| Ratio of Radioactive Gaseous Effluent (Yangjiang NPP) | % | 0.19 | 0.17 | 49 |
| Ratio of Radioactive Liquid Effluent (Day Bay Nuclear Power Site including Daya Bay NPP, Ling Ao NPP and Lingdong NPP) | % | 0.19 | 0.23 | 49 |
| Ratio of Radioactive Liquid Effluent (Fangchenggang Phase I Project Unit 1 & Unit 2) | % | 0.46 | 0.28 | 49 |
| Ratio of Radioactive Liquid Effluent (Fangchenggang Phase II Project Unit 3, and Unit 4 which is under construction) | % | 3.14 | 2.33 | 49 |
| Ratio of Radioactive Liquid Effluent (Hongyanhe Phase I Units 1-4) | % | 0.41 | 0.38 | 49 |
| Ratio of Radioactive Liquid Effluent (Hongyanhe Phase II Unit 5 & Unit 6) | % | 0.34 | 0.33 | 49 |
| Ratio of Radioactive Liquid Effluent (Ningde NPP) | % | 0.26 | 0.29 | 49 |
| Ratio of Radioactive Liquid Effluent (Taishan NPP) | % | 1.74 | 1.2 | 49 |
| Ratio of Radioactive Liquid Effluent (Yangjiang NPP) | % | 0.43 | 0.29 | 49 |
| SO2 emission reduction equivalent | tons | 17500 | 8 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| CO2 emissions equivalent reduced from produce of clean energy | 10000 tons | 16425.43 | 17645.67 | 18659.99 | 84 |
| CO2e (Scope 1) | ton | 4820.85 | 4631.58 | 45 | |
| CO2e (Scope 2) | 10000 tons | 2.58 | 1.87 | 45 | |
| Carbon dioxide equivalent generated in Scope 1 by subsidiaries | 10000 tons | 43.253 | 40.343 | 84 | |
| Carbon dioxide equivalent generated in Scope 2 by subsidiaries | 10000 tons | 2.58 | 1.87 | 84 | |
| Carbon dioxide equivalent produced in Scope 3 by subsidiaries | 10000 tons | 114.03 | 84 | ||
| Equivalent to reduction of approximately CO2 emission | million tons | 186.5999 | 45 | ||
| Hongyanhe Unit 1 Capacity Factor | % | 96.35 | 30 | ||
| Hongyanhe Unit 2 Capacity Factor | % | 88.7 | 30 | ||
| Hongyanhe Unit 3 Capacity Factor | % | 92.14 | 30 | ||
| Hongyanhe Unit 4 Capacity Factor | % | 99.29 | 30 | ||
| Hongyanhe Unit 5 Capacity Factor | % | 91.51 | 30 | ||
| Hongyanhe Unit 6 Capacity Factor | % | 92.55 | 30 | ||
| NOx emissions equivalent reduced from produce of clean energy | 10000 tons | 3.02 | 2.85 | 2.84 | 84 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Generation of radioactive solid waste (Day Bay Nuclear Power Site including Daya Bay NPP, Ling Ao NPP and Lingdong NPP) | m³ | 112 | 148.9 | 49 |
| Generation of radioactive solid waste (Fangchenggang Phase I Project Unit 1 & Unit 2) | m³ | 46.8 | 37.2 | 49 |
| Generation of radioactive solid waste (Hongyanhe Phase I Units 1-4) | m³ | 131.4 | 95.6 | 49 |
| Generation of radioactive solid waste (Hongyanhe Phase II Unit 5 & Unit 6) | m³ | 17.4 | 52 | 49 |
| Generation of radioactive solid waste (Ningde NPP) | m³ | 55.2 | 73.2 | 49 |
| Generation of radioactive solid waste (Taishan NPP) | m³ | 3.3 | 1.4 | 49 |
| Generation of radioactive solid waste (Yangjiang NPP) | m³ | 99.6 | 108.6 | 49 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| CO2 emissions reduction equivalent | million tons | 186.5999 | 8 | ||
| NOx emission reduction equivalent | tons | 28400 | 8 | ||
| SO2 emissions equivalent reduced from produce of clean energy | 10000 tons | 2 | 1.78 | 1.75 | 84 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Annual comprehensive energy consumption per 10000 yuan of output value (consolidated scope) | tce/10000 yuan, tce/10000 yuan of standard coal | 1.3331 | 52 | ||
| Average capacity factor of units in operation | % | 91.91 | 30 | ||
| Comprehensive energy consumption by subsidiaries (10000 tons of standard coal) | 10000 tons of standard coal | 117.56 | 123.81 | 133.31 | 85 |
| Daya Bay Unit 1 Capacity Factor | % | 70.16 | 30 | ||
| Daya Bay Unit 2 Capacity Factor | % | 97.07 | 30 | ||
| Diesel consumption | 10000 tons | 1451.71 | 1386.43 | 45 | |
| Diesel consumption by subsidiaries (ton) | ton | 1976.4 | 1451.71 | 1386.43 | 85 |
| Diesel consumption density | ton/TWh | 8.689 | 7.145 | 45 | |
| Equivalent to reduction of approximately standard coal | million tons | 68.9124 | 45 | ||
| Fangchenggang Unit 1 Capacity Factor | % | 99.98 | 30 | ||
| Fangchenggang Unit 2 Capacity Factor | % | 77.72 | 30 | ||
| Fangchenggang Unit 3 Capacity Factor | % | 99.97 | 30 | ||
| Gasoline consumption | 10000 tons | 111.52 | 116.01 | 45 | |
| Gasoline consumption by subsidiaries (ton) | ton | 146.75 | 111.62 | 116.01 | 85 |
| Gasoline consumption density | ton/TWh | 0.668 | 0.684 | 45 | |
| In-service installed capacity | MW | 31798 | 5 | ||
| Installed Capacity of Units in Operation | MW | 31798 | 8 | ||
| Installed capacity of units under construction | MW | 19406 | 5 | ||
| Ling Ao Unit 1 Capacity Factor | % | 96.72 | 30 | ||
| Ling Ao Unit 2 Capacity Factor | % | 93.75 | 30 | ||
| Lingdong Unit 1 Capacity Factor | % | 90.82 | 30 | ||
| Lingdong Unit 2 Capacity Factor | % | 90.25 | 30 | ||
| Ningde Unit 1 Capacity Factor | % | 94.25 | 30 | ||
| Ningde Unit 2 Capacity Factor | % | 84.07 | 30 | ||
| Ningde Unit 3 Capacity Factor | % | 95.4 | 30 | ||
| Ningde Unit 4 Capacity Factor | % | 99.93 | 30 | ||
| On-grid Power Generation | GWh | 227284 | 8 | ||
| On-grid nuclear power generation in 2024 | GWh | 227284 | 45 | ||
| Standard coal consumption reduced (converted from on-grid nuclear power generation) | million tons | 68.3443 | 8 | ||
| Taishan Unit 1 Capacity Factor | % | 90.5 | 30 | ||
| Taishan Unit 2 Capacity Factor | % | 71.13 | 30 | ||
| Total amount of purchased electricity | MWh | 432530 | 403430 | 45 | |
| Total amount of purchased non-clean electricity | MWh | 30990 | 22410 | 45 | |
| Total installed capacity in operation and under construction | MW | 51204 | 5 | ||
| Total installed capacity in operation and under construction (percentage) | % | 45 | 5 | ||
| Yangjiang Unit 1 Capacity Factor | % | 87.28 | 30 | ||
| Yangjiang Unit 2 Capacity Factor | % | 100 | 30 | ||
| Yangjiang Unit 3 Capacity Factor | % | 92.89 | 30 | ||
| Yangjiang Unit 4 Capacity Factor | % | 91.88 | 30 | ||
| Yangjiang Unit 5 Capacity Factor | % | 99.99 | 30 | ||
| Yangjiang Unit 6 Capacity Factor | % | 94.14 | 30 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Fresh water consumption (10000 tons) | 10000 tons | 907 | 1011 | 973 | 85 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| CSI ESG Rating | AAA | 8 | |||
| Fuel reliability and safety system performance indicators reaching world's advanced level | % | 100 | 30 | ||
| IIGF ESG Rating | A+ | 8 | |||
| MSCI ESG Rating | BB | 8 | |||
| Nuclear power units in operation | 28 | 5 | |||
| Nuclear power units under construction | 16 | 5 | |||
| Proportion of units whose WANO indicators achieve the world's advanced level (top quartile) | % | 86.31 | 8 | ||
| SQE Benchmarking Assessment Score - Cangnan NPP Phase I Project | 6 | 7 | 5 | 36 | |
| SQE Benchmarking Assessment Score - Fangchenggang NPP | 8 | 8 | NA | 36 | |
| SQE Benchmarking Assessment Score - Huizhou NPP Phase I Project | 6 | 7 | 5 | 36 | |
| SQE Benchmarking Assessment Score - Lufeng NPP Units 5 and Unit 6 | 5 | 6 | 5 | 36 | |
| SQE Benchmarking Assessment Score - Ningde NPP Phase I Project | NA | NA | 5 | 36 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of nuclear power units in operation | 26 | 27 | 28 | 30, 84 | |
| Wind ESG Rating | AA | 8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| CGN Power's share of installed capacity in operation in China | % | 53.2 | 5 | ||
| Employees in total | 20453 | 8 | |||
| Number of ethnic minority employees | 925 | 998 | 1117 | 85 | |
| Number of total employees | 18968 | 19038 | 20453 | 85 | |
| Proportion of business functional personnel | % | 88.44% | 88.44% | 5.85% | 85 |
| Proportion of employees aged 28 and below | % | 15.09% | 19.04% | 23.56% | 85 |
| Proportion of employees aged 29 to 35 | % | 32.53% | 28.84% | 23.86% | 85 |
| Proportion of employees aged 36 to 45 | % | 36.50% | 37.31% | 38.45% | 85 |
| Proportion of employees aged 46 and above | % | 15.87% | 14.81% | 14.13% | 85 |
| Proportion of employees by gender: Female | % | 11.56% | 11.88% | 11.92% | 85 |
| Proportion of employees by gender: Male | % | 88.44% | 88.12% | 88.08% | 85 |
| Proportion of employees outside Shenzhen | % | 76.77% | 71.53% | 69.91% | 85 |
| Proportion of employees with bachelor's degree | % | 73.96% | 74.40% | 73.71% | 85 |
| Proportion of employees with doctor's degree | % | 1.20% | 1.18% | 1.27% | 85 |
| Proportion of employees with junior college or lower education | % | 5.45% | 4.70% | 4.07% | 85 |
| Proportion of employees with master's degree | % | 19.30% | 19.71% | 20.59% | 85 |
| Proportion of employees within Shenzhen | % | 23.24% | 28.47% | 30.09% | 85 |
| Proportion of full-time employees | % | 100% | 99.97% | 100% | 85 |
| Proportion of management personnel | % | 11.56% | 11.56% | 8.43% | 85 |
| Proportion of on-site operation and support personnel | % | 11.56% | 11.56% | 12.39% | 85 |
| Proportion of other technical personnel | % | 88.44% | 88.44% | 73.33% | 85 |
| Proportion of part-time employees | % | 0% | 0% | 0% | 85 |
| Total Assets | million yuan | 425400.65 | 8 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate: Aged 28 and below | % | 0.5 | 0.37 | 0.51 | 85 |
| Employee turnover rate: Aged 29 to 35 | % | 0.68 | 0.46 | 0.27 | 85 |
| Employee turnover rate: Aged 36 to 45 | % | 0.39 | 0.32 | 0.2 | 85 |
| Employee turnover rate: Aged 46 and above | % | 0.06 | 0.02 | 0.03 | 85 |
| Employee turnover rate: Female | % | 0.24 | 0.23 | 0.09 | 85 |
| Employee turnover rate: Male | % | 1.49 | 1.67 | 0.92 | 85 |
| Employee turnover rate: Outside Shenzhen | % | 1.11 | 1.02 | 0.66 | 85 |
| Employee turnover rate: Within Shenzhen | % | 0.42 | 0.55 | 0.35 | 85 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Industrial Safety Accident Rate Per 200000 Man Hours in Engineering Construction | 0.007 | 0.002 | 36 | ||
| Industrial safety accident rate of contractors per 200000 man hours - Fangchenggang NPP | 0.05 | 0.0125 | 31 | ||
| Industrial safety accident rate of contractors per 200000 man hours - Hongyanhe NPP | 0.035 | 31 | |||
| Industrial safety accident rate of contractors per 200000 man hours - Ling Ao NPP | 0.074 | 0.11 | 31 | ||
| Industrial safety accident rate of employees per 200000 man hours - Yangjiang NPP | 0.0636 | 31 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Unplanned shutdowns (times) | times | 2 | 3 | 2 | 84 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Ratio of WANO indicators achieving the world’s advanced level (the top quartile) | % | 79.17% | 77.47% | 86.31% | 84 |
| Ratio of units achieving world's advanced level (top quartile) in WANO indicators | % | 79.11 | 77.47 | 66.33 | 30 |
| Ratio of units achieving world's excellent level (top decile) in WANO indicators | % | 76.92 | 74.69 | 82.14 | 30 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| R&D Investment | million yuan | 4193.68 | 8 | ||
| Training coverage | % | 100 | 8 | ||
| Training rate for female | % | 100% | 100% | 100% | 85 |
| Training rate for male | % | 100% | 100% | 100% | 85 |
| Training rate of middle managers | % | 100% | 100% | 100% | 85 |
| Training rate of senior managers | % | 100% | 100% | 100% | 85 |
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 | 165.57 | 8 | ||
| Average training hours per employee (hours) | hours | 139.5 | 138.5 | 165.57 | 85 |
Number of suppliers by geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Qualified suppliers in total | 5001 | 8 | |
| Suppliers introduced | 592 | 8 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| CNI ESG Rating | AAA | 8 | |
| Patents | 2728 | 8 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| FTSE ESG Rating | 2.6 | 8 | |
| S&P Global CSA Rating | 39 | 8 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| SynTao Green Finance ESG Rating | A- | 8 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Participants in 'popularization of nuclear science in schools' activities | 80000 | 8 | |||
| Public visitors to the science popularization exhibition hall | 230000 | 8 | |||
| Sessions of press conference | 5 | 9 | 5 | 85 | |
| Sustainalytics ESG Risk Rating | 27.4 | 8 | |||
| Tax Payment | million yuan | 11521.64 | 8 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Donations in total | million yuan | 29.73 | 8 | ||
| Employees in charitable activities (hours in total) | hours | 13769 | 8 | ||
| Revenue | million yuan | 86804.41 | 8 | ||
| Total rural vitalization and other donations (million yuan) | million yuan | 46.305 | 25.5696 | 28.63 | 85 |
| Volunteering hours (hours) | hours | Over 40700 | 18615 | 10900 | 85 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| NOâ‚“ Emissions | tons | 28400 |
| SOâ‚“ Emissions | tons | 17500 |
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 | 2023 | 2024 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | 10000 tons | 43.253 | 40.343 |
| Indirect Energy Emissions (Scope 2) | 10000 tons | 2.58 | 1.87 |
| Total Other Indirect Energy Emissions (Scope 3) | 10000 tons | 114.03 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Hazardous Waste (Solid Waste) | m³ | 465.7 | 516.9 |
| Total Hazardous Waste | m³ | 465.7 | 516.9 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | kg | 186599900 | ||
| NOx Emissions Reduction Compared to Last Year | tons | 28400 | ||
| SO2 Emissions Reduction Compared to Last Year | tons | 20000 | 17800 | 17500 |
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 | ton | 1976.4 | 1451.71 | 1386.43 |
| Gasoline Consumption | ton | 146.75 | 111.62 | 116.01 |
| Purchased Electricity | MWh | 432530 | 403430 | |
| Total Energy Consumption | tons of standard coal | 1175600 | 1238100 | 1333100 |
| Total Purchased Energy | MWh | 432530 | 403430 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | tons | 9070000 | 10110000 | 9730000 |
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 Total Employees | 18968 | 19038 | 20453 | |
| Percentage of Bachelor's Degree Employees | % | 73.96 | 74.4 | 73.71 |
| Percentage of Below Junior College Employees | % | 5.45 | 4.7 | 4.07 |
| Percentage of Doctoral Degree Employees | % | 1.2 | 1.18 | 1.27 |
| Percentage of Employees Aged 30-50 | % | 69.03 | 66.15 | 62.31 |
| Percentage of Employees Aged Above 50 | % | 15.87 | 14.81 | 14.13 |
| Percentage of Employees Aged Below 30 | % | 15.09 | 19.04 | 23.56 |
| Percentage of Female Employees | % | 11.56 | 11.88 | 11.92 |
| Percentage of Full-time Employees | % | 100 | 99.97 | 100 |
| Percentage of Male Employees | % | 88.44 | 88.12 | 88.08 |
| Percentage of Master's Degree Employees | % | 19.3 | 19.71 | 20.59 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 1.07 | 0.78 | 0.47 |
| Turnover Rate of Employees Aged Below 30 | % | 1.18 | 0.83 | 0.78 |
| Turnover Rate of Female Employees | % | 0.24 | 0.23 | 0.09 |
| Turnover Rate of Male Employees | % | 1.49 | 1.67 | 0.92 |
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 | % | 100 | 100 | 100 |
| Percentage of Trained Male Employees | % | 100 | 100 | 100 |
| Percentage of Trained Middle Management | % | 100 | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours per Employee | hours | 139.5 | 138.5 | 165.57 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Total Suppliers | 5001 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Patents Held | 2728 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Public Welfare Donations | million yuan | 46.305 | 25.5696 | 28.63 |
| Total Volunteer Service Hours | hours | 40700 | 18615 | 13769 |