Environmental, Social and Governance Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
NOx emissions (Shenzhen Expressway) | kg | 65208 | 45 | ||
Nitrogen oxides (NOx) | kg | 22507 | 4601 | 65208 | 68 |
Particulate emissions (Shenzhen Expressway) | kg | 1666 | 45 | ||
Particulate matter (PM) | kg | 768 | 158 | 1666 | 68 |
Sulphur oxides (SOx) | kg | 32990 | 1630 | 2380 | 68 |
Total effluents intensity | t/million revenue | 55.9 | 100.49 | 130 | 68 |
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 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Carbon dioxide emissions reduced by issuing electronic invoices for Group's road sections | tons | 423.55 | 41 | ||
Direct (Scope 1) GHG emissions | tCO2e | 8485 | 8706 | 8999 | 68 |
Greenhouse gas emission Scope 1 + Scope 2 Shenzhen Expressway | Tons of carbon dioxide equivalent | 68161 | 51 | ||
Greenhouse gas emission Scope 1 Shenzhen Expressway | Tons of carbon dioxide equivalent | 8999 | 51 | ||
Greenhouse gas emission Scope 2 Shenzhen Expressway | Tons of carbon dioxide equivalent | 59162 | 51 | ||
Indirect (Scope 2) GHG emissions | tCO2e | 73177 | 60068 | 59162 | 68 |
Intensity of GHG emissions (Scope 1 + Scope 2) per million RMB revenue Shenzhen Expressway | Tons of carbon dioxide equivalent/million revenue | 7.33 | 51 | ||
SO2 emissions (Shenzhen Expressway) | kg | 2380 | 45 | ||
Total GHG emissions (Scope 1 and Scope 2) | tCO2e | 81662 | 68875 | 68161 | 68 |
Total GHG emissions intensity (Scope 1 and Scope 2) | tCO2e/million revenue | 7.5 | 7.34 | 7.33 | 68 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
2023 recycled used power batteries | tons | 2947 | 10 | ||
Hazardous waste | kg | 12589 | 9142 | 5863 | 68 |
Hazardous waste (Shenzhen Expressway) | kg | 5863 | 45 | ||
Hazardous waste intensity | kg/million revenue | 1.2 | 0.98 | 0.63 | 68 |
Hazardous waste intensity (Shenzhen Expressway) | kg/million revenue | 0.63 | 45 | ||
Total wastewater discharge (Shenzhen Expressway) | ton | 1212384 | 45 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
2023 total processed amount of organic waste | tons | 1419928 | 10 | ||
Non-hazardous waste | ton | 149508 | 95612 | 159476 | 68 |
Non-hazardous waste (Shenzhen Expressway) | ton | 159476 | 45 | ||
Non-hazardous waste intensity | t/million revenue | 13.8 | 10.2 | 17 | 68 |
Non-hazardous waste intensity (Shenzhen Expressway) | ton/million revenue | 17 | 45 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
2023 biogas power generation equivalent CO2 emissions reduction | tons | 26002.25 | 10 |
2023 wind power generation equivalent CO2 emissions reduction | tons | 1340531.86 | 10 |
2023 wind power generation equivalent standard coal reduction | tce | 201407.54 | 10 |
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 | 2023 | Report Pages |
---|---|---|---|
Pieces of paper saved by issuing electronic invoices for Group's road sections | pieces | 144000000 | 41 |
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 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
2023 biogas power generation grid-connected electricity | MWh | 45290 | 10 | ||
2023 wind power generation grid-connected electricity | MWh | 1638792 | 10 | ||
Comprehensive energy consumption intensity | kWh/million revenue | 15231 | 42 | ||
Diesel | Litre | 1833307 | 2475094 | 407473 | 69 |
Diesel consumption | Litre | 407473 | 42 | ||
Electricity | kWh | 125950025 | 105328316 | 103737634 | 69 |
Electricity consumption | kWh | 103737634 | 42 | ||
Gasoline | Litre | 681188 | 703942 | 732790 | 69 |
Gasoline consumption | Litre | 732790 | 42 | ||
Liquefied petroleum gas (LPG) | kg | 10879 | 210 | 123716 | 69 |
Liquefied petroleum gas consumption | kg | 123716 | 42 | ||
Natural gas | m³ | 828174 | 132350 | 2589477 | 69 |
Natural gas consumption | Cubic metre | 2589477 | 42 | ||
Number of LED light sources deployed on road sections under Shenzhen jurisdiction | sets | 25421 | 41 | ||
Total energy consumption intensity | kWh/million revenue | 18180 | 19545.38 | 15231 | 69 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|---|
Targeted reduction in water consumption per million RMB revenue (vs 2021) | 2.5% | 42 | ||||
Total intensity of water usage | ton/million revenue | 141.5 | 187.25 | 184 | 69 | |
Total water usage | ton | 1537969 | 1755037 | 1710269 | 69 | |
Wastewater discharge intensity (Shenzhen Expressway) | ton/million revenue | 130 | 45 | |||
Water resources usage | ton | 1710269 | 42 | |||
Water use intensity | ton/million revenue | 184 | 42 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
2023 biogas power generation equivalent standard coal reduction | tce | 3945.28 | 10 | |
Targeted reduction in comprehensive energy consumption per million RMB revenue (vs 2021) | 3% | 42 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Effluents | ton | 608015 | 941867 | 1212384 | 68 |
Motorway Quality Index (MQI) - Coastal Expressway | 97.03 | 96.95 | 96.06 | 28 | |
Motorway Quality Index (MQI) - Jihe East | 94.01 | 94.38 | 94.38 | 28 | |
Motorway Quality Index (MQI) - Jihe West | 94.31 | 94.69 | 94.69 | 28 | |
Motorway Quality Index (MQI) - Longda Expressway | 92.29 | 90.81 | 91.94 | 28 | |
Motorway Quality Index (MQI) - Meiguan Expressway | 95.04 | 94.98 | 92.64 | 28 | |
Motorway Quality Index (MQI) - Outer Ring Project | 96.22 | 28 | |||
Motorway Quality Index (MQI) - Qingyuan-Lianzhou Expressway | 90.86 | 91.03 | 90.91 | 28 | |
Motorway Quality Index (MQI) - Yiyang-Changde Expressway | 95.28 | 95.09 | 94.72 | 28 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Employees | Person | 7105 | 7279 | 7062 | 69 |
Employees aged 30 years old or below | Person | 4255 | 4290 | 4160 | 69 |
Employees aged 31-40 years old | Person | 1588 | 1562 | 1519 | 69 |
Employees aged 41-50 years old | Person | 921 | 1020 | 983 | 69 |
Employees aged 50 years old or above | Person | 341 | 407 | 400 | 69 |
Employees – By educational background – Bachelor degree | Person | 1290 | 1335 | 1301 | 70 |
Employees – By educational background – Below college degree | Person | 4226 | 4224 | 3997 | 70 |
Employees – By educational background – College degree | Person | 1259 | 1366 | 1425 | 70 |
Employees – By educational background – Master degree and above | Person | 330 | 354 | 339 | 70 |
Employees – By job function – Front-line staff | Person | 4775 | 4912 | 4839 | 70 |
Employees – By job function – Management and specialised technical staff | Person | 2330 | 2367 | 2223 | 70 |
Employees – By region – Hong Kong, Macau and Taiwan regions of China | Person | 6 | 10 | 15 | 70 |
Employees – By region – Mainland China | Person | 7099 | 7269 | 7045 | 70 |
Employees – By region – Other regions | Person | 2 | 70 | ||
Female employees | Person | 2932 | 2924 | 2704 | 69 |
Full-time employees | Person | 7105 | 7279 | 7062 | 69 |
Male employees | Person | 4173 | 4355 | 4358 | 69 |
New employees recruited in 2023 | Person | 2033 | 2038 | 1356 | 69 |
Proportion of management and technical personnel | % | 31.48 | 10 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Employee turnover rate – By age group – 30 years old or below | % | 34.2 | 26 | 70 | |
Employee turnover rate – By age group – 31-40 years old | % | 17.7 | 6.3 | 70 | |
Employee turnover rate – By age group – 41-50 years old | % | 9.2 | 4.5 | 70 | |
Employee turnover rate – By age group – 50 years old or above | % | 6.1 | 5.3 | 70 | |
Employee turnover rate – By gender – Female | % | 25.9 | 17.3 | 70 | |
Employee turnover rate – By gender – Male | % | 25.4 | 17.8 | 70 | |
Employee turnover rate – By region – Hong Kong, Macau and Taiwan regions of China | % | 20 | 23.5 | 70 | |
Employee turnover rate – By region – Mainland China | % | 30.8 | 27.8 | 17.1 | 70 |
Total employee turnover rate | % | 30.8 | 25.6 | 17.6 | 70 |
Lost days due to work injury.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Working days lost due to work-related injuries | Days | 464 | 605 | 775 | 71 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Investment in work safety | RMB thousand | 41569 | 26 |
Number of emergency drills conducted | times | 443 | 26 |
Number of participants in safety training | participants | 73006 | 26 |
Number of safety training sessions | sessions | 2072 | 26 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Person-times of training for female | Person-times | 15323 | 71 |
Person-times of training for front-line staff | Person-times | 18557 | 71 |
Person-times of training for male | Person-times | 13086 | 71 |
Person-times of training for management and specialised technical staff | Person-times | 9852 | 71 |
R&D investment | million RMB | 33.48 | 10 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Total person-times of training | Person-times | 28409 | 71 | ||
Total training hours | Hours | 11614 | 16488 | 6553 | 71 |
Total training hours for female | Hours | 3695 | 71 | ||
Total training hours for front-line staff | Hours | 3379 | 71 | ||
Total training hours for male | Hours | 2895 | 71 | ||
Total training hours for management and specialised technical staff | Hours | 3175 | 71 | ||
Total training input | Yuan | 1023082 | 646608 | 2145025 | 71 |
Number of suppliers by geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Public procurement rate increase compared to previous year | % | 16 | 21 | ||
Suppliers | Number of suppliers | 2168 | 3641 | 2745 | 71 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Business complaints | Cases | 5031 | 3967 | 5925 | 72 |
Complaint handling rate | % | 100 | 100 | 100 | 72 |
Customer satisfaction index | % | 94.77 | 94.84 | 95.8 | 72 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
IPR infringement or being infringed | Cases | 4 | 1 | 72 | |
New patents | Number of patents | 39 | 29 | 17 | 72 |
New patents acquired | 17 | 10 | |||
Patents obtained | Number of patents | 333 | 356 | 318 | 72 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Supplier Integrity Agreement Signing Rate | % | 100 | 100 | 100 | 71 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Employees educated in anti-corruption | Person | 7105 | 7279 | 7062 | 72 |
Senior management educated in anti-corruption | Person | 12 | 14 | 14 | 72 |
Total hours of anti-corruption education | Hours | 69 | 137 | 270 | 72 |
Total hours of anti-corruption education for senior management | Hours | 6 | 5 | 7 | 72 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Tax amount | million RMB | 530 | 10 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Hours of volunteer activities | Hours | 1932 | 3444 | 1450 | 72 |
Public welfare expenditure | Yuan | 500000 | 2800000 | 6330014 | 72 |
Volunteer participation | Person-times | 480 | 287 | 725 | 72 |
investment in public welfare and charity | million RMB | 6.33 | 67 | ||
total hours of volunteer service | hours | 1450 | 67 | ||
total number of employees participating in voluntary service | 725 | 67 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 768 | 158 | 1666 |
NOâ‚“ Emissions | kg | 22507 | 4601 | 65208 |
SOâ‚“ Emissions | kg | 32990 | 1630 | 2380 |
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 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 8485 | 8706 | 8999 |
Indirect Energy Emissions (Scope 2) | tCO2e | 73177 | 60068 | 59162 |
Total GHG Emissions | tCO2e | 81662 | 68875 | 68161 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/million revenue | 7.5 | 7.34 | 7.33 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Hazardous Waste (Used Batteries) | tons | 2947 | ||
Total Hazardous Waste | kg | 12589 | 9142 | 5863 |
Total Hazardous Waste Intensity (By Revenue) | kg/million revenue | 1.2 | 0.98 | 0.63 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Total Non-Hazardous Waste Intensity (By Revenue) | t/million revenue | 13.8 | 10.2 | 17 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
CO2 Emissions Reduction Compared to Last Year | tons | 1366534.11 |
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 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Biomass Energy | MWh | 45290 | ||
Diesel Fuel Consumption | Litre | 1833307 | 2475094 | 407473 |
Energy Consumption Intensity (By Revenue) | kWh/million revenue | 18180 | 19545.38 | 15231 |
Gasoline Consumption | Litre | 681188 | 703942 | 732790 |
LPG Consumption | kg | 10879 | 210 | 123716 |
Natural Gas Consumption | m³ | 828174 | 132350 | 2589477 |
Purchased Electricity | kWh | 125950025 | 105328316 | 103737634 |
Wind Energy | MWh | 1638792 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Total Water Withdrawal | ton | 1537969 | 1755037 | 1710269 |
Wastewater Discharge Intensity | ton/million revenue | 130 | ||
Water Consumption Intensity (By Revenue) | ton/million revenue | 141.5 | 187.25 | 184 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Electricity Usage Reduction Compared to Last Year | million kilowatt-hours | ||
Electricity Usage Reduction Percentage Compared to Last Year | % | ||
Energy Consumption Reduction Compared to Last Year | tce | 3945.28 | |
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 3 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Bachelor's Degree Employees | Person | 1290 | 1335 | 1301 |
Number of Below Junior College Employees | Person | 4226 | 4224 | 3997 |
Number of Employees Aged 30-50 | Person | 2509 | 2582 | 2502 |
Number of Employees Aged Above 50 | Person | 341 | 407 | 400 |
Number of Employees Aged Below 30 | Person | 4255 | 4290 | 4160 |
Number of Employees in Hong Kong | Person | 6 | 10 | 15 |
Number of Employees in Mainland China | Person | 7099 | 7269 | 7045 |
Number of Employees in Overseas | Person | 2 | ||
Number of Female Employees | Person | 2932 | 2924 | 2704 |
Number of Full-time Employees | Person | 7105 | 7279 | 7062 |
Number of Male Employees | Person | 4173 | 4355 | 4358 |
Number of Master's Degree Employees | Person | 330 | 354 | 339 |
Number of New Employees | Person | 2033 | 2038 | 1356 |
Number of Total Employees | Person | 7105 | 7279 | 7062 |
Percentage of Bachelor's Degree Employees | % | 18.16 | 18.34 | 18.43 |
Percentage of Below Junior College Employees | % | 59.48 | 58.02 | 56.62 |
Percentage of Employees Aged 30-50 | % | 35.31 | 35.48 | 35.44 |
Percentage of Employees Aged Above 50 | % | 4.8 | 5.59 | 5.67 |
Percentage of Employees Aged Below 30 | % | 59.89 | 58.93 | 58.92 |
Percentage of Employees in Hong Kong | % | 0.08 | 0.14 | 0.21 |
Percentage of Employees in Mainland China | % | 99.92 | 99.86 | 99.76 |
Percentage of Employees in Overseas | % | 0.03 | ||
Percentage of Female Employees | % | 41.27 | 40.17 | 38.26 |
Percentage of Full-time Employees | % | 100 | 100 | 100 |
Percentage of Male Employees | % | 58.73 | 59.83 | 61.74 |
Percentage of Master's Degree Employees | % | 4.64 | 4.86 | 4.8 |
Percentage of New Employees | % | 28.62 | 28 | 19.21 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 17.7 | 6.3 | |
Turnover Rate of Employees Aged Above 50 | % | 6.1 | 5.3 | |
Turnover Rate of Employees Aged Below 30 | % | 34.2 | 26 | |
Turnover Rate of Employees in Hong Kong | % | 20 | 23.5 | |
Turnover Rate of Employees in Mainland China | % | 30.8 | 27.8 | 17.1 |
Turnover Rate of Female Employees | % | 25.9 | 17.3 | |
Turnover Rate of Male Employees | % | 25.4 | 17.8 | |
Turnover Rate of Total Employees | % | 30.8 | 25.6 | 17.6 |
Lost days due to work injury.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | Days | 464 | 605 | 775 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 |
---|---|---|
Investment in Work Safety | RMB thousand | 41569 |
Number of People Receiving Training on Work Safety | participants | 73006 |
Number of Production Safety Emergency Drills | times | 443 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 |
---|---|---|
Percentage of Trained Female Employees | % | 53.94 |
Percentage of Trained Male Employees | % | 46.06 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Total Training Hours | Hours | 11614 | 16488 | 6553 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Total Suppliers | Number of suppliers | 2168 | 3641 | 2745 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Complaint Growth Rate | % | -21.19 | 49.39 | |
Complaints Handling Rate | % | 100 | 100 | 100 |
Satisfaction Rate of Customer Complaint Handling | % | 94.77 | 94.84 | 95.8 |
Total Number of Customer Complaints | Cases | 5031 | 3967 | 5925 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Accumulative Number of Patents Granted | Number of patents | 333 | 356 | 318 |
Incidents of Non-compliance with Intellectual Property Rights | Cases | 4 | 1 | |
Number of Patents Granted | Number of patents | 39 | 29 | 17 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Percentage of Suppliers Accepting Anti-corruption Policies | % | 100 | 100 | 100 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Directors and Management Attendance for Anti-corruption Training | Person | 12 | 14 | 14 |
Number of People Participated in Ethical Standards and Anti-corruption Training | Person | 7105 | 7279 | 7062 |
Total Anti-corruption Training Hours for Directors and Management | Hours | 6 | 5 | 7 |
Total Hours of Anti-corruption Training | Hours | 69 | 137 | 270 |
Total Hours of Anti-corruption Training for Employees | Hours | 63 | 132 | 263 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Employees Participating in Volunteer Activities | 725 | |||
Number of Participations in Volunteer Activities | Person-times | 480 | 287 | 725 |
Total Public Welfare Donations | Yuan | 500000 | 2800000 | 6330014 |
Total Social Investment | million RMB | 6.33 | ||
Total Volunteer Service Hours | Hours | 1932 | 3444 | 1450 |