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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Compliance rate of major pollutant emissions (%) | % | 100 | 100 | 100 | 89 |
| Compliance rate of pollutant emissions (%) | % | - | 100 | 100 | 89 |
| exhaust emission volume | m³ | 31798800 | 53 |
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 |
|---|---|---|---|---|---|
| Discharge of hazardous waste (ton) (toner cartridges, damaged light tubes, etc.) | ton | 0.17 | 29.32 | 12.1 | 89 |
| Hazardous waste discharge intensity per RMB10000 of operating revenue (ton/RMB10000) | ton/RMB10000 | 7.17×10⁻⁸ | 1.31×10⁻⁵ | 5.04×10⁻⁶ | 89 |
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 |
|---|---|---|---|---|---|
| Discharge of non-hazardous waste (ton) (kitchen waste, construction waste, etc.) | ton | 730.5 | 11598.6 | 6323 | 89 |
| Non-hazardous waste discharge intensity per RMB10000 of operating revenue (ton/RMB10000) | ton/RMB10000 | 0.0003 | 0.0052 | 0.0026 | 89 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Compliance rate of solid waste disposal (%) | % | 100 | 100 | 100 | 89 |
| Industrial solid waste reuse rate (%) | % | 100 | 100 | 100 | 89 |
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 |
|---|---|---|---|---|---|
| Capacity of BAI Alumina EPC Project of CHALIECO Indonesia | kt/a | 1000 | 82 | ||
| Capacity of captive power plant of Indonesia Mampawa Alumina EPC Project | kt/a | 1000 | 82 | ||
| Diesel consumption (liter) | liter | 2044766.46 | 22157752.4 | 17298567.74 | 89 |
| Electricity consumption (10000 kWh) | 10000 kWh | 5418.74 | 11515.03 | 9400.65 | 89 |
| Electricity used in office buildings (10000 kWh) | 10000 kWh | 7230.48 | 7330.6 | 6365.15 | 89 |
| Energy consumption intensity per RMB10000 of operating revenue (tce/RMB10000) | tce/RMB10000 | 0.0462 | 0.0378 | 0.0192 | 88 |
| Energy consumption per RMB 10000 output value (tce/RMB 10000 output value) | tce/RMB10000 | 0.0288 | 0.0362 | 0.0152 | 89 |
| Fuel oil consumption (liter) | liter | 38462.46 | 61043063.32 | 29625891.3 | 89 |
| Gasoline consumption (liter) | liter | 1882071.76 | 38885310.92 | 12327323.56 | 89 |
| Natural gas consumption (m³) | m³ | 223793.16 | 195928 | 274847 | 89 |
| Total energy consumption (tce) | tce | 11362.05 | 80794 | 42099 | 88 |
| energy consumption (natural gas) | m³ | 274847 | 52 | ||
| energy consumption (standard coal equivalent) | tons | 42000 | 52 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Amounted of reclaimed water used (ton) | ton | 4406 | 11401 | 89 | |
| Annual fresh water consumption (ton) | ton | 142463 | 755194 | 589761 | 89 |
| Single-well water yield achieved by Congo (Kinshasa) Company of KPDI | m3/h | 120 | 83 | ||
| Total water consumption (ton) | ton | 199459.76 | 766595 | 589761 | 89 |
| Water consumption intensity (ton/RMB10000) | ton/RMB10000 | 0.68 | 0.34 | 0.25 | 89 |
| Water used in office buildings (10000 tons) | 10000 tons | 70.23 | 45.84 | 32.66 | 89 |
| industrial wastewater discharge | tons | 32859 | 53 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Investments in R&D (RMB 10000) | RMB 10000 | 94330.9 | 94330.9 | 96103.15 | 86 |
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 |
|---|---|---|---|---|---|
| Achievements selected as green low-carbon advanced applicable technologies in the nonferrous metal industry | 2 | 42 | |||
| Coverage of environmental protection training (%) | % | 33 | 34 | 39 | 89 |
| Investment in environmental protection | million RMB | 31.7517 | 8 | ||
| Investment intensity of R&D funds | % | 4 | 45 | ||
| Investments in environmental protection (RMB 10000) | RMB 10000 | 3423.1 | 3532.17 | 3175.17 | 88 |
| Number of consecutive years achieving five-star excellence rating in central enterprise-controlled listed companies ESG assessment | years | 6 | 17 | ||
| Number of key areas supervised for potential ecological and environmental hazards | 15 | 50 | |||
| Number of new achievements evaluated by industry associations at or above international advanced level | 27 | 8 | |||
| Number of production workshops supervised for potential ecological and environmental hazards | 4 | 50 | |||
| Number of projects supervised for potential ecological and environmental hazards | 46 | 50 | |||
| Total environmental protection expenditure | million RMB | 31.7517 | 50 | ||
| national standards established | 9 | 62 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Physical risks: extreme weather events (e.g. heavy rain, high temperature) - global temperature rise exceeding 1.5°C target set by the Paris Agreement | °C | exceeded 1.5°C | 48 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coverage of labor contracts | % | 100 | 20, 71 | ||
| Coverage of labor contracts (%) | % | 100 | 100 | 100 | 87 |
| Coverage of social insurance | % | 100 | 71 | ||
| Coverage of social insurance (%) | % | 100 | 100 | 100 | 87 |
| Days of paid leaves per capita (day) | day | 10.49 | 11 | 11 | 87 |
| Localized employment rate (%) | % | 88 | 85.43 | 85 | 87 |
| Number of Board of Directors meetings held | meetings | 8 | 28 | ||
| Number of Employees between 30 and 50 years old | persons | 6717 | 69 | ||
| Number of Employees over 50 years old | persons | 2751 | 69 | ||
| Number of Employees under 30 years old | persons | 1385 | 69 | ||
| Number of Employees with Bachelor's Degree | persons | 6043 | 69 | ||
| Number of Employees with Doctoral Degree | persons | 37 | 69 | ||
| Number of Employees with Master's Degree | persons | 1322 | 69 | ||
| Number of Employees with Other Education Backgrounds | persons | 3451 | 69 | ||
| Number of Female Employees | persons | 2446 | 69 | ||
| Number of Male Employees | persons | 8207 | 69 | ||
| Number of R&D employees | Persons | 2352 | 45 | ||
| Number of R&D employees (persons) | persons | 2479 | 2164 | 2352 | 86 |
| Number of Regular Employees | persons | 10853 | 69 | ||
| Number of Total Employees | persons | 10853 | 69 | ||
| Number of employees | Person | 10853 | 71 | ||
| Number of employees (person) | 12219 | 11456 | 10853 | 87 | |
| Number of employees assisted in need | 207 | 9 | |||
| Number of employees in difficulty supported | 207 | 73 | |||
| Number of female managers (person) | 1441 | 1260 | 1192 | 87 | |
| Number of general shareholders’ meetings held (time) | 3 | 3 | 2 | 87 | |
| Number of newly recruited employees during the reporting period (person) | 76 | 137 | 127 | 87 | |
| Number of people employed during reporting period | Person | 127 | 71 | ||
| Number of people with disabilities employed (person) | person | 78 | 61 | 60 | 88 |
| Operating revenue (RMB 10000) | RMB 10000 | 2369732.89 | 2233717.1 | 2400325.45 | 86 |
| Proportion of ethnic minority employees (%) | % | 4.56 | 4.48 | 4.72 | 87 |
| Proportion of female managers in middle management (%) | % | 31.66 | 6.12 | 6.15 | 87 |
| Reception rate of visits of employees and other stakeholders (%) | % | 100 | 100 | 100 | 88 |
| Signing rate of labor contracts | % | 100 | 71 | ||
| Signing rate of labor contracts (%) | % | 100 | 100 | 100 | 87 |
| Total assets (RMB 10000) | RMB 10000 | 4739221.82 | 4094380.3 | 4115652.82 | 86 |
| YOY growth of employee compensation | % | 3.35 | 71 | ||
| YOY growth of employee compensation (%) | % | 3 | 12 | 3.35 | 88 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Employee turnover rate | % | 7.92 | 70 |
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 |
|---|---|---|---|---|---|
| Number of work safety accidents | times | 2 | 77 | ||
| Number of work safety accidents (time) | time | 1 | 1 | 2 | 88 |
| Number of work-related deaths (person) | person | 1 | 7 | 88 | |
| Proportion of work-related deaths (%) | % | 0.008 | 0.061 | 88 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Working days lost due to work-related injuries | days | 176 | 77 | ||
| Working days lost due to work-related injuries (day) | day | 6106 | 42000 | 176 | 88 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coverage of health records | % | 100 | 71 | ||
| Coverage of health records (%) | % | 100 | 100 | 100 | 87 |
| Coverage of safety training (%) | % | 100 | 100 | 88 | |
| Coverage rate of physical examination | % | 100 | 71 | ||
| Coverage rate of physical examination (%) | % | 100 | 100 | 100 | 87 |
| Employees reached by health service lectures | employees | 8000 | 77 | ||
| Lectures on employee health services conducted | lectures | 3 | 77 | ||
| Number of female employees who underwent health check-ups at all levels of CHALIECO | 2646 | 73 | |||
| Number of participants in safety education and training (person-time) | person-time | 55301 | 122276 | 124940 | 88 |
| Total investment in safety (RMB 10000) | RMB 10000 | 28201.61 | 88 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| 2024 Internal Auditor Training Course for Quality, Environment, and Occupational Health and Safety held | Yes | 35 | |||
| Number of participants in environmental protection training (person-time) | person-time | 13999 | 10890 | 14854 | 89 |
| Number of research cooperation projects with target universities and research institutions | 10 | 61 | |||
| Safety Training Coverage Rate | % | 100 | 77 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Investments in employee training | RMB 10000 | 1461.43 | 72 | ||
| Investments in employee training (RMB 10000) | RMB 10000 | 738.19 | 1222.6 | 1461.43 | 88 |
| Number of hours for employee training | hour | 542529 | 20, 72 | ||
| Number of hours for employee training (hour) | hour | 283428 | 377686.45 | 542529 | 88 |
| Number of hours for legal compliance training (hour) | hour | 36 | 38 | 42 | 86 |
| Number of hours for safety education and training (hour) | hour | 99285 | 427966 | 499760 | 88 |
| Number of participants of employee training (person-time) | person-time | 28686 | 52349 | 41526 | 72, 88 |
| Pass rate for compliance and law exams | 99.5% | 30 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of overseas suppliers in 2024 | 31 | 64 | |||
| Number of potential suppliers rejected for non-compliance of social responsibility (nos.) | 8 | 6 | 87 | ||
| Number of suppliers (nos.) | 5267 | 2488 | 2378 | 87 | |
| Number of suppliers in 2024 | 2378 | 64 | |||
| Number of suppliers in Central China in 2024 | 737 | 64 | |||
| Number of suppliers in East China in 2024 | 442 | 64 | |||
| Number of suppliers in North China in 2024 | 311 | 64 | |||
| Number of suppliers in Northeast China in 2024 | 100 | 64 | |||
| Number of suppliers in Northwest China in 2024 | 147 | 64 | |||
| Number of suppliers in South China in 2024 | 166 | 64 | |||
| Number of suppliers in Southwest China in 2024 | 444 | 64 | |||
| Total number of suppliers | Nos | 2378 | 65 | ||
| amount of newly signed contracts related to digital intelligence | million RMB | 420 | 44 | ||
| amount of newly signed contracts related to digital intelligence within the Chinalco | million RMB | 240 | 44 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of CSR/ESG training courses for suppliers (nos.) | 71 | 87 | |||
| Number of CSR/ESG training for suppliers | Each | 71 | 65 | ||
| Number of sessions of social responsibility and ESG training for suppliers | 71 | 9 | |||
| Number of suppliers reviewed | 2378 | 9 | |||
| Number of suppliers reviewed during the reporting period | Nos | 2378 | 65 | ||
| Number of suppliers reviewed during the reporting period (nos.) | 5267 | 2488 | 2378 | 87 | |
| Number of suppliers suspended for non-compliance of social responsibility | Nos | 23 | 65 | ||
| Number of suppliers suspended for non-compliance of social responsibility (nos.) | 23 | 87 | |||
| group standards established | 6 | 62 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of potentially important issues identified in dual materiality assessment | 24 | 17 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Complaint resolution rate (%) | % | 100 | 100 | 100 | 87 |
| Handing rate of letters and mails (%) | % | 100 | 100 | 100 | 88 |
| Net assets (RMB 10000) | RMB 10000 | 1045598.68 | 725450 | 884506.61 | 86 |
| Number of investor exchange activities organized | activities | 13 | 29 | ||
| Number of investor questions responded to through SSE E-interactive platform | questions | 20 | 29 | ||
| Number of technological achievements reaching international leading level | 24 | 8 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Cumulative number of valid patents (nos.) | nos. | 2832 | 3214 | 3324 | 86 |
| Increase in internationally leading technological achievements compared to last year | percent | 60% | 8 | ||
| Number of newly added authorized patents (nos.) | nos. | 312 | 368 | 360 | 86 |
| Number of patent applications accepted (nos.) | nos. | 381 | 647 | 716 | 86 |
| Patents for inventions (applications accepted, nos.) | nos. | 176 | 369 | 361 | 86 |
| Patents for inventions (cumulative, nos.) | nos. | 1120 | 1385 | 1473 | 86 |
| Patents for inventions (newly added authorized, nos.) | nos. | 80 | 109 | 134 | 86 |
| Technological achievements reached the international leading level | 24 | 42 | |||
| increase in new standards established compared to 2023 | 25% | 62 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of projects inspected for quality risk prevention and control | projects | 31 | 35 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total tax payment (RMB 10000) | RMB 10000 | 86603.77 | 79277.64 | 62871.86 | 86 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Centralized system review meetings organized | meetings | 16 | 30 | ||
| Legal practice seminars conducted for compliance management enhancement | sessions | 7 | 30 | ||
| Legal review rate of corporate business contracts (%) | % | 100 | 100 | 100 | 86 |
| Legal review rate of corporate rules and regulations (%) | % | 100 | 100 | 100 | 86 |
| Legal review rate of important corporate business decisions (%) | % | 100 | 100 | 100 | 86 |
| Number of contracts reviewed for risk prevention and control | contracts | 17740 | 31 | ||
| new standards above the team level established | 15 | 62 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Compliance and law exam takers | 6021 | 30 | |||
| Number of board meetings held (time) | 12 | 9 | 8 | 87 | |
| Number of legal compliance training sessions (time) | time | 18 | 20 | 25 | 86 |
| Number of people receiving training on legal compliance (person-time) | 1032 | 1404 | 1862 | 87 | |
| Participants in law-abiding and compliance training | 1862 | 30 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Award for Deep Purification and Waste Recycling Technology of Carbon Anode Baking Flue Gas | Science and Technology Progress Award by All-China Environment Federation | Second Prize | 55 | ||
| Award for Deep Treatment Technology and Equipment Development for Pollution Reduction and Carbon Reduction of Fluorine-containing and Organic Flue Gas in Aluminum Industry | Science and Technology Award of China Nonferrous Metals Industry Association | First Prize | 55 | ||
| Award for Development and Application of Integrated Control Technology and Key Equipment for Shape and Property of High-performance Copper Strip Used in New Energy | Science and Technology Award of China Nonferrous Metals Industry Association | First Prize | 55 | ||
| Award for Green Combined Smelting and Efficient Resource Recovery Technology of Complex Lead-zinc Materials | Jiangxi Provincial Science and Technology Progress Award | Second Prize | 55 | ||
| Award for Key Technologies and Applications for Safety Control and Ecological Restoration of Plateau High-Steep Mine Slopes | Science and Technology Award of China Nonferrous Metals Industry Association | Second Prize | 55 | ||
| Award for Research and Application of New Green Intelligent Paste Filling Technology for Mine Tailings | Science and Technology Progress Award by All-China Environment Federation | Second Prize | 55 | ||
| Investment in supporting workers in need | RMB 10000 | 28.85 | 20, 73 | ||
| Investment in supporting workers in need (RMB 10000) | RMB 10000 | 537.53 | 40.87 | 28.85 | 88 |
| New achievements evaluated by industry associations | 27 | 42 | |||
| New science and technology awards at or above the provincial and ministerial levels | 40 | 42 | |||
| Number of general meetings of shareholders held | meetings | 2 | 28 | ||
| Number of joint scientific research projects with universities and institutions | projects | 10 | 41 | ||
| Number of local villagers benefited by rural revitalization | persons | 5452 | 80 | ||
| Number of youth voluntary organizations | Nos | 1008 | 81 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Amount allocated to assist employees in need (RMB) | RMB | 288500 | 9 | ||
| Amount allocated to support rural revitalization (RMB) | RMB | 91000 | 9 | ||
| Consumption assistance purchases | RMB | 3311500 | 80 | ||
| Goods purchased through consumption-driven assistance initiatives (RMB) | RMB | 3311500 | 9 | ||
| Hours of volunteer services | Hour | 5802.6 | 81 | ||
| Introduction of assistance funds for rural revitalization | RMB | 628000 | 80 | ||
| Investment in assistance funds for rural revitalization | RMB | 91000 | 80 | ||
| Total charitable donations (RMB 10000) | RMB 10000 | 8.7 | 3.9563 | 1.62 | 88 |
| Total cooperation fund for university-enterprise cooperation | RMB | 200000000 | 61 | ||
| Total funding for joint scientific research projects with universities and institutions | million RMB | 20 | 41 | ||
| Total volunteer service hours contributed | hours | 5802.6 | 9 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | None | None | None |
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 |
|---|---|
| Total GHG Emissions Intensity (By Product Weight) | tCO₂/t-AlO |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Hazardous Waste | ton | 0.17 | 29.32 | 12.1 |
| Total Hazardous Waste Intensity (By Revenue) | ton/RMB10000 | 0.0000000717 | 0.0000131 | 0.00000504 |
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 Disposed | ton | 730.5 | 11598.6 | 6323 |
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/RMB10000 | 0.0003 | 0.0052 | 0.0026 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons CO2 |
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 | 2044766.46 | 22157752.4 | 17298567.74 |
| Energy Consumption Intensity (By Revenue) | tce/RMB10000 | 0.0462 | 0.0378 | 0.0192 |
| Gasoline Consumption | liter | 1882071.76 | 38885310.92 | 12327323.56 |
| Heating Oil Consumption | liter | 38462.46 | 61043063.32 | 29625891.3 |
| Natural Gas Consumption | m³ | 223793.16 | 195928 | 274847 |
| Total Energy Consumption | tce | 11362.05 | 80794 | 42099 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Discharge of Industrial Wastewater | tons | 32859 | ||
| Recycled Water Usage | ton | 4406 | 11401 | |
| Water Consumption | ton | 199459.76 | 766595 | 589761 |
| Water Consumption Intensity (By Revenue) | ton/RMB10000 | 0.68 | 0.34 | 0.25 |
| Water Consumption in Office | ton | 702300 | 458400 | 326600 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | RMB 10000 | 94330.9 | 94330.9 | 96103.15 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Investment in Ecological Restoration | million RMB | 3423.1 | 3532.17 | 31.7517 |
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 Bachelor's Degree Employees | persons | 6043 | ||
| Number of Doctoral Degree Employees | persons | 37 | ||
| Number of Employees Aged 30-50 | persons | 6717 | ||
| Number of Employees Aged Above 50 | persons | 2751 | ||
| Number of Employees Aged Below 30 | persons | 1385 | ||
| Number of Female Employees | persons | 2446 | ||
| Number of Male Employees | persons | 8207 | ||
| Number of Master's Degree Employees | persons | 1322 | ||
| Number of New Employees | person | 76 | 137 | 127 |
| Number of Total Employees | persons | 12219 | 11456 | 10853 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 2.34 |
| Turnover Rate of Employees Aged Above 50 | % | 1.12 |
| Turnover Rate of Employees Aged Below 30 | % | 4.46 |
| Turnover Rate of Female Employees | % | 1.88 |
| Turnover Rate of Male Employees | % | 6.04 |
| Turnover Rate of Total Employees | % | 7.92 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | person | 1 | 7 | |
| Number of Fatalities of the Last 3 Years | person | 8 | 8 | 8 |
| Number of Work-related Fatalities | person | 1 | 7 | |
| Work-related Fatalities Rate | % | 0.008 | 0.061 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | day | 6106 | 42000 | 176 |
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 |
| Investment in Work Safety | RMB 10000 | 28201.61 | ||
| Number of People Receiving Training on Work Safety | person-time | 55301 | 122276 | 124940 |
| Participation Rate of Safety Training | % | 100 | 100 | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Percentage of Trained Female Employees | % | 18.88 |
| Percentage of Trained Male Employees | % | 81.12 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Training Hours | hour | 283428 | 377686.45 | 542529 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Central China | 737 | |||
| Number of Suppliers in East China | 442 | |||
| Number of Suppliers in North China | 311 | |||
| Number of Suppliers in Northeast China | 100 | |||
| Number of Suppliers in Northwest China | 147 | |||
| Number of Suppliers in Overseas | 31 | |||
| Number of Suppliers in South China | 166 | |||
| Number of Suppliers in Southwest China | 444 | |||
| Number of Total Suppliers | 5267 | 2488 | 2378 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Supplier Social Responsibility Training Sessions | Each | 71 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaints Handling Rate | % | 100 | 100 | 100 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Accumulative Number of Patents Granted | nos. | 2832 | 3214 | 3324 |
| Number of Invention Patents | nos. | 1120 | 1385 | 1473 |
| Number of New Patent Applications | nos. | 381 | 647 | 716 |
| Number of Patents Applied | nos. | 381 | 647 | 716 |
| Number of Patents Granted | nos. | 312 | 368 | 360 |
| Number of Patents Held | nos. | 2832 | 3214 | 3324 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Anti-corruption Training Session | time | 18 | 20 | 25 |
| Number of Attendance for Anti-corruption Training | person-time | 1032 | 1404 | 1862 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Public Welfare Donations | RMB | 87000 | 39563 | 16200 |
| Total Volunteer Service Hours | hour | 5802.6 |