2024 Environmental, Social and Governance Report (Corporate Social Responsibility Report)
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
NOx emissions | ton | 12368 | 24286 | 43 |
Smoke emissions | ton | 1298 | 1554 | 43 |
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 | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Greenhouse gas emissions per unit of electricity generation | Ton/KWH | 0.8 | 0.78 | 43 |
SO2 emissions | ton | 23208 | 12322 | 43 |
Total greenhouse gas emissions | Ten thousand tons of carbon dioxide equivalent | 178911 | 177133 | 43 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Hazardous waste generation intensity (million tons of revenue) | Tons/million yuan | 0.05 | 43 |
Hazardous waste production | ton | 6081 | 43 |
Strength of harmless waste generation (million tons of revenue) | Tons/million yuan | 274.16 | 43 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Harmless waste disposal volume | ton | 29073061 | 43 |
Production amount of harmless waste | ton | 30978527 | 43 |
Total amount of solid waste disposal | ton | 29078667 | 43 |
Total amount of solid waste produced | ton | 30594608 | 43 |
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 | 2024 | Report Pages |
---|---|---|---|---|
Amount of hazardous waste disposal | ton | 5606 | 43 | |
Comprehensive utilization rate of desulfurized gypsum | % | 99.97 | 95.23 | 43 |
Comprehensive utilization rate of fly ash | % | 99.89 | 95.68 | 43 |
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 | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Clean energy consumption | Tons of standard coal | 50311202.02 | 43 | |
Diesel consumption | Tons of standard coal | 20399.4 | 289629.29 | 43 |
Direct energy consumption | Tons of standard coal | 694760431.97 | 43 | |
Energy intensity (million tons of revenue) | Tons of standard coal/million yuan | 632.41 | 43 | |
Gas consumption | Tons of standard coal | 4347959 | 4611880 | 43 |
Indirect energy consumption | Tons of standard coal | 17185494.94 | 43 | |
Purchased electricity | Tons of standard coal | 17185494.94 | 43 | |
Total coal consumption | Tons of standard coal | 67007361 | 65909465 | 43 |
Total energy consumption | Tons of standard coal | 714846861.31 | 43 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Total water consumption of power generation | ton | 233464029 | 43 |
Total water consumption of thermal power enterprise | Kilogram/KWH | 104688 | 43 |
Water consumption intensity (million tons of revenue) | Tons/million yuan | 2066.16 | 43 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Proportion of total investment in environmental protection in operating revenue | % | 1.57 | 43 |
Total investment in environmental protection | 10000 Yuan | 177863 | 43 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Employee Structure: Age 50-54 | person | 4652 | 4470 | 44 |
Employee Structure: Age 55 and over | person | 2403 | 2627 | 44 |
Employee Structure: By professional composition: Other positions | person | 124 | 104 | 44 |
Employee Structure: By professional composition: Production positions | person | 15915 | 16226 | 44 |
Employee Structure: By professional composition: Service positions | person | 734 | 700 | 44 |
Employee Structure: By professional composition: managerial position | person | 5167 | 5111 | 44 |
Employee Structure: By professional composition: professional technical post | person | 2935 | 2952 | 44 |
Employee Structure: Chinese mainland number of employees | person | 24875 | 25093 | 44 |
Employee Structure: Employee area composition: Anhui | person | 282 | 386 | 44 |
Employee Structure: Employee area composition: Beijing | person | 118 | 124 | 44 |
Employee Structure: Employee area composition: Chongqing | person | 427 | 521 | 44 |
Employee Structure: Employee area composition: Guangdong | person | 1397 | 1498 | 44 |
Employee Structure: Employee area composition: Hebei | person | 2291 | 2254 | 44 |
Employee Structure: Employee area composition: Henan | person | 1099 | 1114 | 44 |
Employee Structure: Employee area composition: Hubei | person | 2735 | 2720 | 44 |
Employee Structure: Employee area composition: Hunan | person | 1090 | 750 | 44 |
Employee Structure: Employee area composition: Nei Mongol | person | 66 | 60 | 44 |
Employee Structure: Employee area composition: Ningxia | person | 6 | 16 | 44 |
Employee Structure: Employee area composition: Other | person | 296 | 403 | 44 |
Employee Structure: Employee area composition: Shandong | person | 11388 | 11401 | 44 |
Employee Structure: Employee area composition: Shanxi | person | 459 | 471 | 44 |
Employee Structure: Employee area composition: Sichuan | person | 1463 | 1535 | 44 |
Employee Structure: Employee area composition: Tianjin | person | 718 | 822 | 44 |
Employee Structure: Employee area composition: Zhejiang | person | 1051 | 1018 | 44 |
Employee Structure: Graduate student or above | person | 1201 | 1529 | 44 |
Employee Structure: High school and below | person | 1132 | 954 | 44 |
Employee Structure: Junior college | person | 6841 | 6939 | 44 |
Employee Structure: Number of disabled employees | person | / | 116 | 44 |
Employee Structure: Number of ethnic minority employees | person | / | 484 | 44 |
Employee Structure: Technical school degree | person | 517 | 477 | 44 |
Employee Structure: Technical secondary school | person | 2147 | 1937 | 44 |
Employee Structure: Undergraduate college | person | 13037 | 13917 | 44 |
Employee Turnover - Chongqing | person | 5 | 4 | 46 |
Employee Turnover - Sichuan | person | 18 | 3 | 46 |
Employee satisfaction score | 100 | 96 | 45 | |
Number of board members | person | 12 | 46 | |
Number of board members with a master's degree | person | 7 | 46 | |
Number of board members with undergraduate and below education level | person | 1 | 46 | |
Number of board of supervisors | person | 3 | 46 | |
Number of directors aged 30-50 years old (inclusive) | person | 1 | 46 | |
Number of directors over 50 years old | person | 11 | 46 | |
Number of employees age 24 and below | person | 1720 | 1697 | 43 |
Number of employees age 25-29 | person | 3064 | 3306 | 43 |
Number of employees age 30-34 | person | 3473 | 3537 | 43 |
Number of employees age 35-39 | person | 2436 | 2740 | 43 |
Number of employees age 40-44 | person | 2719 | 2444 | 43 |
Number of employees age 45-49 | person | 4048 | 4141 | 43 |
Number of employees at the end of the term | person | 24875 | 25093 | 43 |
Number of external supervisors | person | 2 | 46 | |
Number of female directors | person | 2 | 46 | |
Number of female employees | person | 5457 | 5403 | 43 |
Number of female members in the board of supervisors | person | 1 | 46 | |
Number of independent directors | person | 4 | 46 | |
Number of male directors | person | 10 | 46 | |
Number of male employees | person | 19418 | 19690 | 43 |
Number of male members in the board of supervisors | person | 2 | 46 | |
Number of professional and technical personnel | person | 3730 | 45 | |
Number of professional management personnel | person | 3805 | 45 | |
Pay and Benefits: Critical illness insurance coverage rate | % | 100 | 94.91 | 44 |
Pay and Benefits: Number of days of paid leave per employee | day | / | 10.17 | 44 |
Pay and Benefits: Social insurance payment coverage of employees | % | 100 | 100 | 44 |
Pay and Benefits: The number of people insured by serious illness insurance | person | / | 24839 | 44 |
Pay and Benefits: The number of people insured by the social insurance system | person | / | 25093 | 44 |
Pay and Benefits: Total number of paid vacation days for all staff | day | / | 252675 | 44 |
Supervisory Board Master's degree holders | person | 1 | 46 | |
Supervisory Board undergraduate and below number | person | 1 | 46 | |
The number of enterprise leaders (including directors and supervisors) | person | 544 | 45 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Employee Structure: Number of new hires | person | / | 1360 | 44 |
Employee Structure: Number of social recruited employees | person | / | 172 | 44 |
Employee Structure: The number of new graduates | person | / | 1188 | 44 |
Employee Turnover - Guangdong | person | 46 | 38 | 46 |
Employee Turnover - Hebei | person | 8 | 6 | 46 |
Employee Turnover - Henan | person | 18 | 16 | 46 |
Employee Turnover - Hunan | person | 13 | 46 | |
Employee Turnover - Nei Mongol | person | 2 | 46 | |
Employee Turnover - Tianjin | person | 2 | 6 | 46 |
Employee Turnover - Zhejiang | person | 2 | 46 | |
Employee Turnover - other | person | 3 | 46 | |
Employee turnover rate | % | 0.57 | 45 | |
Number of departing employees aged 24 and under who leave | person | 25 | 16 | 45 |
Number of departing employees aged 25-29 years old | person | 43 | 28 | 45 |
Number of departing employees aged 30-34 years old | person | 47 | 41 | 45 |
Number of departing employees aged 40-44 years old | person | 5 | 8 | 45 |
Number of departing employees aged 45-49 years old | person | 4 | 5 | 45 |
Number of departing employees aged 50-54 years old | person | 1 | 45 | |
Number of departing employees aged 55 and over | person | 1 | 45 | |
Number of departing employees between 35 and 39 years old | person | 26 | 34 | 45 |
Number of employees leaving by region: Anhui | person | 3 | 13 | 45 |
Number of employees leaving by region: Beijing | person | 1 | 1 | 45 |
Number of employees leaving by region: Hubei | person | 13 | 38 | 45 |
Number of employees leaving by region: Shandong | person | 18 | 17 | 45 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Continuing education and training | person-time | 1087 | 1625 | 45 |
Development and Training: According to the training content, the number of employee training participations | person time | 40872 | 40872 | 44 |
Development and Training: Adaptive training | person time | 88465 | 132929 | 44 |
Development and Training: Participate in the training of China Huadian Corporation and its superior units | person time | 19442 | 82045 | 44 |
Development and Training: Qualification training | person time | 19442 | 82045 | 44 |
Number of doctoral degrees on the board | person | 4 | 46 | |
Number of doctoral supervisors | person | 1 | 46 | |
Number of female staff trained | person | 5407 | 5297 | 45 |
Number of male staff trained | person | 19182 | 19418 | 45 |
Number of professional and technical personnel trained | person | 3387 | 3662 | 45 |
Number of professional management trainees | person | 4887 | 3800 | 45 |
Number of skilled personnel | person | 17044 | 45 | |
Other training | person-time | 129479 | 61176 | 45 |
Proportion of female staff trained | % | 21.99 | 98.03 | 45 |
Proportion of professional managers trained | % | 99.97 | 45 | |
Staff training coverage rate | % | 98 | 45 | |
Technical level training | person-time | 44045 | 32475 | 45 |
The number of enterprise leaders (including directors and supervisors) to be trained | person | 448 | 544 | 45 |
The proportion of enterprise leaders (including directors and supervisors) being trained | % | 100 | 45 | |
The proportion of male employees trained | % | 78.01 | 98.62 | 45 |
The proportion of professional and technical personnel trained | % | 98.17 | 45 | |
The proportion of skilled personnel trained | % | 64.63 | 98.09 | 45 |
Total number of employees participating in the training program | person | 24715 | 45 | |
Total number of staff training participants | person-time | 336754 | 45 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Average training hours for female employees | hour | 63.06 | 87.52 | 45 |
Average training time for skilled personnel | hour | 83.28 | 97.29 | 45 |
Average training time of professional managers | hour | 81.05 | 104.62 | 45 |
Employee training expenses | ten thousand yuan | 10.58 | 45 | |
Male staff per capita training time | hour | 83.87 | 102.19 | 45 |
Number of skilled personnel trained | person | 15467 | 16689 | 45 |
The average training time of enterprise leaders (including directors and supervisors) | hour | 142.54 | 156.3 | 45 |
The average training time of professional and technical personnel | hour | 81.63 | 92.81 | 45 |
Total duration of staff training | ten thousand hours | 245 | 45 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Chinese mainland number of suppliers | company | 2294 | 3196 | 46 |
Number of suppliers | company | 2296 | 3199 | 46 |
Number of suppliers in Hong Kong, Macao and Taiwan regions | company | 2 | 3 | 46 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of authorized patent | patent | 384 | 46 | |
Number of design patent applications | patent | 3 | 1 | 46 |
Number of design patents granted | patent | 1 | 46 | |
Number of granted invention patents | patent | 65 | 46 | |
Number of granted utility model patent | patent | 318 | 46 | |
Number of patent applications for invention | patent | 35 | 468 | 46 |
Number of patent applications for utility models | patent | 421 | 404 | 46 |
Number of patents applied | patent | 873 | 46 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of Nominating Committee meetings | Times | 2 | 46 |
Number of board meetings | Times | 12 | 46 |
Number of meetings of the Board of Auditors | Times | 6 | 46 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of meetings of the Compensation and Appraisal Committee | Times | 2 | 46 |
Number of non-independent directors | person | 8 | 46 |
Number of strategy committee meetings | Times | 4 | 46 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | ton | 1298 | 1554 |
NOâ‚“ Emissions | ton | 12368 | 24286 |
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 |
---|---|---|---|
Total GHG Emissions | kg CO2e | 1789110000 | 1771330000 |
Total GHG Emissions Intensity (By Energy) | Ton/KWH | 0.8 | 0.78 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2024 |
---|---|---|
Total Hazardous Waste | ton | 6081 |
Total Hazardous Waste Intensity (By Revenue) | Tons/million yuan | 0.05 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2024 |
---|---|---|
Non-Hazardous Waste Disposed | ton | 29073061 |
Total Non-Hazardous Waste Disposed | ton | 29073061 |
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 | 2023 | 2024 |
---|---|---|---|
Diesel Fuel Consumption | Tons of standard coal | 20399.4 | 289629.29 |
Energy Consumption Intensity (By Revenue) | Tons of standard coal/million yuan | 632.41 | |
Fossil Fuel Consumption | Tons of standard coal | 71375719.4 | 70810974.29 |
Natural Gas Consumption | Tons of standard coal | 4347959 | 4611880 |
Purchased Electricity | Tons of standard coal | 17185494.94 | |
Renewable Energy Consumption | Tons of standard coal | 50311202.02 | |
Total Direct Energy Consumption | Tons of standard coal | 694760431.97 | |
Total Energy Consumption | Tons of standard coal | 714846861.31 | |
Total Indirect Energy Consumption | Tons of standard coal | 17185494.94 | |
Total Non-Renewable Fuel Consumption | Tons of standard coal | 71375719.4 | 70810974.29 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2024 |
---|---|---|
Water Consumption | ton | 233464029 |
Water Consumption Intensity (By Revenue) | Tons/million yuan | 2066.16 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2024 |
---|---|---|
Total Investment in Ecological Restoration | 10000 Yuan | 177863 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Bachelor's Degree Employees | person | 13037 | 13917 |
Number of Below Junior College Employees | person | 3796 | 3368 |
Number of Employees Aged 30-50 | person | 12676 | 12862 |
Number of Employees Aged Above 50 | person | 7052 | 7091 |
Number of Employees Aged Below 30 | person | 4784 | 5003 |
Number of Employees in Mainland China | person | 24875 | 25093 |
Number of Female Employees | person | 5457 | 5403 |
Number of Male Employees | person | 19418 | 19690 |
Number of Total Employees | person | 24875 | 25093 |
Percentage of Employees Aged 30-50 | % | 50.97 | 51.26 |
Percentage of Employees Aged Above 50 | % | 28.36 | 28.26 |
Percentage of Employees Aged Below 30 | % | 19.24 | 19.93 |
Percentage of Employees in Mainland China | % | 100 | 100 |
Percentage of Female Employees | % | 21.94 | 21.52 |
Percentage of Male Employees | % | 78.06 | 78.48 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Turnover Rate of Total Employees | % | 0.57 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Percentage of Employees Trained | % | 98 | |
Percentage of Trained Female Employees | % | 21.99 | 98.03 |
Percentage of Trained General Employees | % | 99.97 | |
Percentage of Trained Male Employees | % | 78.01 | 98.62 |
Percentage of Trained Operational Employees | % | 98.09 | |
Percentage of Trained Senior Management | % | 100 | |
Percentage of Trained Technical Employees | % | 98.17 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Average Training Hours (Female) | hour | 63.06 | 87.52 |
Average Training Hours (Male) | hour | 83.87 | 102.19 |
Average Training Hours (Senior Management) | hour | 142.54 | 156.3 |
Average Training Hours (Technical Employees) | hour | 81.63 | 92.81 |
Total Training Hours | hour | 2450000 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Suppliers in Mainland China | company | 2294 | 3196 |
Number of Total Suppliers | company | 2296 | 3199 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Authorised Utility Model Patents | patent | 318 | |
Number of Invention Patents | patent | 65 | |
Number of New Patent Applications | patent | 873 | |
Number of Patents Applied | patent | 459 | 873 |
Number of Patents Granted | patent | 384 |