2024 Sustainability 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 |
|---|---|---|---|---|---|
| Beer - Exhaust gas - Exhaust gas | Million cubic meters | 5400.3 | 2062.6 | 1959.8 | 78 |
| Beer - Exhaust gas - Nitrogen oxides | Tonne | 142.1 | 186.4 | 159.0 | 78 |
| Beer - Exhaust gas - Sulfur dioxide | Tonne | 79.0 | 53.7 | 53.1 | 78 |
| Beer - Wastewater - Ammonia nitrogen | Tonne | 20.5 | 88.2 | 32.3 | 78 |
| Beer - Wastewater - COD | Tonne | 618.9 | 848.3 | 820.0 | 78 |
| Beer - Wastewater - Effluent wastewater | 10000 tonnes | 1412.2 | 1355.1 | 1235.2 | 78 |
| Beer - Wastewater - Total phosphorus | Tonne | 36.1 | 42.8 | 27.4 | 78 |
| Dioxin | Milligram | 330.9 | 166.1 | 231.6 | 78 |
| Environment - Exhaust gas - Exhaust gas | Million cubic meters | 15550.0 | 23412.6 | 22707.5 | 78 |
| Environment - Exhaust gas - Nitrogen oxides | Tonne | 3037.3 | 3364.3 | 3288.7 | 78 |
| Environment - Wastewater - Ammonia nitrogen | Tonne | 1.7 | 1.4 | 1.6 | 78 |
| Environment - Wastewater - COD | Tonne | 52.1 | 86.2 | 75.3 | 78 |
| Environment - Wastewater - Effluent wastewater | 10000 tonnes | 158.6 | 187.7 | 181.2 | 78 |
| Gas - Exhaust gas - Nitrogen oxides | Tonne | 114.4 | 78 | ||
| Gas - Exhaust gas - Sulfur dioxide | Tonne | 6.2 | 78 | ||
| Soot | Tonne | 94.9 | 81.9 | 79.8 | 78 |
| Sulfur dioxide | Tonne | 570.9 | 802.4 | 913.8 | 78 |
| Water - Exhaust gas - Nitrogen oxides | Tonne | 337.0 | 566.0 | 521.7 | 78 |
| Water - Exhaust gas - Sulfur dioxide | Tonne | 48.0 | 64.0 | 69.1 | 78 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Beer - Scope 1 emissions | tonnes of CO2 equivalent | 208776 | 68 | |||
| Beer - Scope 2 emissions | tonnes of CO2 equivalent | 269511 | 68 | |||
| Greenhouse gas emissions at BEHL Headquarters Offices | Tonnes of carbon dioxide equivalent | 162.7 | 173.5 | 153.8 | 81 | |
| Scope 1 emission | 10000 tonnes CO₂ equivalent | 79.8 | 69.4 | 69.2 | 82 | |
| Scope 2 emission | 10000 tonnes CO₂ equivalent | 39.2 | 51.7 | 50.8 | 82 | |
| Total Greenhouse Gas Emissions - Beer - Emission intensity | 10000 tonnes CO2 equivalent/RMB 1 billion in revenue | 4.95 | 68 | |||
| Total Greenhouse Gas Emissions - Beer - Scope 1 | tonnes CO2 equivalent | 309806.36 | 68 | |||
| Total Greenhouse Gas Emissions - Beer - Scope 2 | tonnes CO2 equivalent | 321713.03 | 68 | |||
| Total Greenhouse Gas Emissions - Beer - Total | tonnes CO2 equivalent | 631519.39 | 68 | |||
| Total Greenhouse Gas Emissions - Environment - Emission intensity | 10000 tonnes CO2 equivalent/RMB 1 billion in revenue | 1.24 | 68 | |||
| Total Greenhouse Gas Emissions - Environment - Scope 1 | tonnes CO2 equivalent | 86924.18 | 68 | |||
| Total Greenhouse Gas Emissions - Environment - Scope 2 | tonnes CO2 equivalent | 27399.11 | 68 | |||
| Total Greenhouse Gas Emissions - Environment - Total | tonnes CO2 equivalent | 114323.29 | 68 | |||
| Total Greenhouse Gas Emissions - Gas - Emission intensity | 10000 tonnes CO2 equivalent/RMB 1 billion in revenue | 0.73 | 68 | |||
| Total Greenhouse Gas Emissions - Gas - Scope 1 | tonnes CO2 equivalent | 294804.05 | 68 | |||
| Total Greenhouse Gas Emissions - Gas - Scope 2 | tonnes CO2 equivalent | 159142.59 | 68 | |||
| Total Greenhouse Gas Emissions - Gas - Total | tonnes CO2 equivalent | 453946.64 | 68 | |||
| Total Greenhouse Gas Emissions - Water - Emission intensity | 10000 tonnes CO2 equivalent/RMB 1 billion in revenue | 4.64 | 68 | |||
| Total Greenhouse Gas Emissions - Water - Scope 1 | tonnes CO2 equivalent | 13799.15 | 68 | |||
| Total Greenhouse Gas Emissions - Water - Scope 2 | tonnes CO2 equivalent | 1112706.75 | 68 | |||
| Total Greenhouse Gas Emissions - Water - Total | tonnes CO2 equivalent | 1126505.91 | 68 | |||
| Total greenhouse gas emission | 10000 tonnes CO₂ equivalent | 119.1 | 121.2 | 120.0 | 82 | |
| Total greenhouse gas emission intensity | 10000 tonnes CO₂ equivalent/RMB 1 billion in revenue | 1.50 | 1.47 | 1.43 | 82 |
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 |
|---|---|---|---|---|---|
| Beer - Hazardous solid waste - Waste lubricating oil, etc. | Tonne | 128.1 | 139.7 | 113.5 | 78 |
| Beer - Hazardous solid waste intensity | Tonne/RMB 1 billion in revenue | 11.06 | 11.33 | 8.90 | 78 |
| Gas - Hazardous solid waste - Waste filter elements, etc. | Tonne | 10.6 | 46.9 | 21.9 | 78 |
| Gas - Hazardous solid waste intensity | Tonne/RMB 1 billion in revenue | 0.18 | 0.76 | 0.35 | 78 |
| Hazardous solid waste - Fly ash, etc. | 10000 tonnes | 44.3 | 49.9 | 46.5 | 78 |
| Hazardous solid waste discharge per billion of revenue decrease | % | 9.84 | 17 | ||
| Hazardous solid waste intensity | Tonne/RMB 1 billion in revenue | 5.64 | 5.92 | 5.04 | 78 |
| Total hazardous solid waste | 10000 tonnes | 44.3 | 49.9 | 46.5 | 82 |
| Total hazardous solid waste (consolidated, BEHL) | 10000 tonnes | 49.9 | 46.5 | 79 | |
| Total hazardous solid waste intensity | 10000 tonnes/RMB 1 billion in revenue | 0.56 | 0.61 | 0.55 | 82 |
| Total hazardous solid waste intensity (consolidated, BEHL) | 10000 tonnes/RMB 1 billion in revenue | 0.61 | 0.55 | 79 | |
| Water - Hazardous solid waste - Hazardous waste generated by sewage treatment process, etc. | Tonne | 328.0 | 259.0 | 934.9 | 78 |
| Water - Hazardous solid waste intensity | Tonne/RMB 1 billion in revenue | 15.27 | 10.56 | 38.52 | 78 |
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 |
|---|---|---|---|---|---|
| Beer - Non-hazardous solid waste - Waste glass | 10000 tonnes | 5.0 | 4.8 | 4.5 | 78 |
| Beer - Non-hazardous solid waste - Waste wheat grains, waste hops, coagulum and waste yeast, etc. | 10000 tonnes | 41.2 | 126.7 | 125.2 | 78 |
| Beer - Non-hazardous solid waste intensity | 10000 tonnes/RMB 1 billion in revenue | 4.25 | 17.95 | 10.96 | 78 |
| Gas - Non-hazardous solid waste - Waste soil and stone, etc. | 10000 tonnes | 5.1 | 4.8 | 1.8 | 78 |
| Gas - Non-hazardous solid waste intensity | 10000 tonnes/RMB 1 billion in revenue | 0.09 | 0.08 | 0.03 | 78 |
| Non-hazardous solid waste - Slag, etc. | 10000 tonnes | 503.8 | 308.4 | 286.6 | 78 |
| Non-hazardous solid waste discharge per billion of revenue decrease | % | 21.57 | 17 | ||
| Non-hazardous solid waste intensity | 10000 tonnes/RMB 1 billion in revenue | 64.09 | 36.58 | 31.08 | 78 |
| Office paper usage at BEHL Headquarters Offices | Tonne | 2.2 | 4.6 | 4.4 | 81 |
| Reduction in plastic usage via thin film technology (Yanjing Brewery) | tonnes | 232 | 80 | ||
| Total non-hazardous solid waste | 10000 tonnes | 562.1 | 534.5 | 428.2 | 82 |
| Total non-hazardous solid waste (consolidated, BEHL) | 10000 tonnes | 534.5 | 428.2 | 79 | |
| Total non-hazardous solid waste intensity | 10000 tonnes/RMB 1 billion in revenue | 7.08 | 6.49 | 5.09 | 82 |
| Total non-hazardous solid waste intensity (consolidated, BEHL) | 10000 tonnes/RMB 1 billion in revenue | 6.49 | 5.09 | 79 | |
| Water - Non-hazardous solid waste - Sludge, etc. | 10000 tonnes | 273.5 | 281.9 | 292.9 | 78 |
| Water - Non-hazardous solid waste intensity | 10000 tonnes/RMB 1 billion in revenue | 12.73 | 11.50 | 12.07 | 78 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2025 | 2030 | 2040 | Report Pages |
|---|---|---|---|---|---|
| Beer - total CO2 emissions cap | tonnes | 571000 | 68 | ||
| Beijing Gas methane emission intensity reduction target | near zero | 17 | |||
| Environment - waste-to-energy carbon emission intensity reduction compared to 2024 | % | 45 | 68 | ||
| Gas - CO2 emissions cap | tonnes | 629600 | 813200 | 68 | |
| Gas - methane emission intensity cap | % | 0.12 | 68 |
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 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|
| Beer segment - Coal consumption | 10000 tonnes | 4.1 | 2.7 | 2.0 | 71 | ||
| Beer segment - Comprehensive energy consumption | 10000 tonnes of standard coal | 28.2 | 25.9 | 35.0 | 71 | ||
| Beer segment - Comprehensive energy consumption intensity | 10000 tonnes of standard coal/RMB 1 billion in revenue | 2.43 | 2.10 | 2.74 | 71 | ||
| Beer segment - Diesel usage | kL | 1904.2 | 1455.0 | 2078.4 | 71 | ||
| Beer segment - Gasoline usage | kL | 1252.1 | 557.0 | 928.7 | 71 | ||
| Beer segment - Natural gas usage | 10000 cubic meters | 85860.1 | 11865.2 | 11704.0 | 71 | ||
| Beer segment - Purchased electricity | 10000 kWh | 36358.4 | 33914.4 | 34960.7 | 71 | ||
| Beer segment - Purchased industrial steam | Tonne | 451851.9 | 387108.3 | 363942.8 | 71 | ||
| Comprehensive energy consumption | 10000 tonnes of standard coal equivalent | 50.7 | 54.0 | 64.4 | 82 | ||
| Comprehensive energy consumption at BEHL Headquarters Offices | Tonnes of standard coal equivalent | 44.4 | 47.3 | 43.4 | 81 | ||
| Comprehensive energy consumption intensity | 10000 tonnes of standard coal equivalent/RMB 1 billion in revenue | 0.64 | 0.66 | 0.77 | 82 | ||
| Environment segment - Coal consumption | Tonne | 19030.8 | 17837.2 | 10382.2 | 71 | ||
| Environment segment - Comprehensive energy consumption | 10000 tonnes of standard coal | 4.7 | 5.2 | 4.8 | 71 | ||
| Environment segment - Comprehensive energy consumption intensity | 10000 tonnes of standard coal/RMB 1 billion in revenue | 0.60 | 0.62 | 0.52 | 71 | ||
| Environment segment - Diesel usage | kL | 65.8 | 3459.3 | 3195.0 | 71 | ||
| Environment segment - Gasoline usage | kL | 57.4 | 60.9 | 59.7 | 71 | ||
| Environment segment - Liquefied petroleum gas usage | Tonne | 14.6 | 3.7 | 5.5 | 71 | ||
| Environment segment - Natural gas usage | 10000 cubic meters | 1405.9 | 1385.0 | 1424.9 | 71 | ||
| Environment segment - Purchased electricity | 10000 kWh | 4176.0 | 4032.5 | 5106.1 | 71 | ||
| Gas - renewable energy utilization | tonnes of standard coal equivalent | 14400 | 33000 | 68 | |||
| Gas segment - Comprehensive energy consumption | 10000 tonnes of standard coal | 17.8 | 22.9 | 24.6 | 71 | ||
| Gas segment - Comprehensive energy consumption intensity | 10000 tonnes of standard coal/RMB 1 billion in revenue | 0.30 | 0.37 | 0.40 | 71 | ||
| Gas segment - Diesel usage | Tonne | 103.7 | 113.3 | 114.4 | 71 | ||
| Gas segment - Gasoline usage | Tonne | 1331.7 | 1337.4 | 1055.8 | 71 | ||
| Gas segment - Liquefied petroleum gas usage | Tonne | 0.2 | 0.2 | 71 | |||
| Gas segment - Natural gas usage | 10000 cubic meters | 11461.6 | 13120.4 | 13469.3 | 71 | ||
| Gas segment - Purchased electricity | 10000 kWh | 15482.8 | 18256.4 | 22608.0 | 71 | ||
| Gas segment - Purchased heat | GJ | 41313.7 | 263786.9 | 343890.8 | 71 | ||
| Gasoline usage at BEHL Headquarters Offices | kL | 15.9 | 16.8 | 14.7 | 81 | ||
| Purchased electricity at BEHL Headquarters Offices | 10000 kWh | 22.4 | 23.9 | 22.7 | 81 | ||
| Water segment - Comprehensive energy consumption | 10000 tonnes of standard coal | 24.1 | 26.2 | 26.1 | 71 | ||
| Water segment - Comprehensive energy consumption intensity | 10000 tonnes of standard coal/RMB 1 billion in revenue | 1.12 | 1.07 | 1.07 | 71 | ||
| Water segment - Diesel usage | Tonne | 1638.0 | 1685.0 | 1337.0 | 71 | ||
| Water segment - Gasoline usage | Tonne | 767.0 | 1259.0 | 1498.0 | 71 | ||
| Water segment - Natural gas usage | 10000 cubic meters | 154.6 | 184.7 | 224.4 | 71 | ||
| Water segment - Purchased electricity | 10000 kWh | 191288.3 | 207348.6 | 205991.3 | 71 | ||
| Water segment - Purchased steam for heating | GJ | 4748.0 | 3781.0 | 3702.2 | 71 |
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 at BEHL Headquarters Offices | Tonne | 647.0 | 573.0 | 641.0 | 81 |
| Fresh water consumption intensity (Beer segment) | 10000 tonnes/RMB 1 billion in revenue | 137.10 | 148.65 | 120.40 | 80 |
| Fresh water consumption intensity (Environment segment) | 10000 tonnes/RMB 1 billion in revenue | 51.24 | 72.38 | 68.84 | 80 |
| Fresh water consumption intensity (Gas segment) | 10000 tonnes/RMB 1 billion in revenue | 0.39 | 2.38 | 0.46 | 80 |
| Fresh water consumption intensity (Water segment) | 10000 tonnes/RMB 1 billion in revenue | 21.43 | 16.85 | 20.21 | 80 |
| Fresh water consumption volume (Beer segment) | 10000 tonnes | 1588.2 | 1832.9 | 1766.3 | 80 |
| Fresh water consumption volume (Environment segment) | 10000 tonnes | 402.8 | 610.2 | 634.8 | 80 |
| Fresh water consumption volume (Gas segment) | 10000 tonnes | 23.5 | 146.6 | 28.4 | 80 |
| Fresh water consumption volume (Water segment) | 10000 tonnes | 460.5 | 413.1 | 490.5 | 80 |
| Total fresh water consumption | 10000 tonnes | 1788.0 | 2589.7 | 2429.6 | 82 |
| Total fresh water consumption (consolidated) | 10000 tonnes | 2589.7 | 2429.6 | 80 | |
| Total fresh water consumption intensity | 10000 tonnes/RMB 1 billion in revenue | 22.53 | 31.47 | 28.90 | 82 |
| Total fresh water consumption intensity (consolidated) | 10000 tonnes/RMB 1 billion in revenue | 31.47 | 28.90 | 80 | |
| Water consumption per unit of product (Yanjing Brewery) | kL/t | 4.1 | 3.8 | 79 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Water consumption per billion of revenue decrease | % | 8.17 | 17 |
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 |
|---|---|---|---|---|---|
| Environmental investment | 10000 yuan | 4564.4 | 13362.3 | 25349.2 | 82 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employees from Hong Kong, Macao and Taiwan and overseas in management positions | % | 26.53 | 24.69 | 83 | |
| Employees from Hong Kong, Macao, Taiwan of China and overseas | % | 4.77 | 5.20 | 83 | |
| Employees with labor contracts | Person | 33720 | 31231 | 29883 | 82 |
| Employees with labor contracts - Age 30-50 | Person | 23378 | 21514 | 20176 | 82 |
| Employees with labor contracts - Age ≤29 | Person | 4238 | 4224 | 4160 | 82 |
| Employees with labor contracts - Age ≥51 | Person | 6104 | 5493 | 5547 | 82 |
| Employees with labor contracts - Female | Person | 9483 | 8929 | 8226 | 82 |
| Employees with labor contracts - Hong Kong, Macao and Taiwan of China | Person | 34 | 33 | 32 | 82 |
| Employees with labor contracts - Male | Person | 24237 | 22302 | 21657 | 82 |
| Employees with labor contracts - Other countries and regions | Person | 1398 | 1456 | 1523 | 82 |
| Employees with labor contracts - The Chinese mainland | Person | 32288 | 29742 | 28328 | 82 |
| Ethnic minority employees | % | 7.41 | 7.47 | 83 | |
| Ethnic minority employees in management positions | % | 3.56 | 6.23 | 6.00 | 83 |
| Female employees in STEM-related positions | % | 32.81 | 30.52 | 34.16 | 83 |
| Number of Yanjing Brewery employees in Beijing | persons | 4710 | 41 | ||
| Number of employees by age: 29 and below | persons | 20176 | 41 | ||
| Number of employees by age: 30 to 50 | persons | 5547 | 41 | ||
| Number of employees by age: 51 and above | persons | 4160 | 41 | ||
| Number of employees by gender: Female | persons | 8226 | 41 | ||
| Number of employees by gender: Male | persons | 21657 | 41 | ||
| Number of employees by rank: Junior managers | persons | 1670 | 41 | ||
| Number of employees by rank: Middle managers | persons | 557 | 41 | ||
| Number of employees by rank: Rank-and-file employees | persons | 27599 | 41 | ||
| Number of employees by rank: Senior managers | persons | 57 | 41 | ||
| Number of employees by region: Chinese mainland | persons | 28328 | 41 | ||
| Number of employees by region: Hong Kong, Macao and Taiwan of China | persons | 1523 | 41 | ||
| Number of employees by region: Other countries and regions | persons | 32 | 41 | ||
| Number of employees with labour contracts both domestically and overseas | persons | 29883 | 41 | ||
| Number of local employees (Yanjing Brewery, Beijing) | persons | 4262 | 41 | ||
| Number of local employees among new hires (Yanjing Brewery, Beijing) | persons | 48 | 41 | ||
| Percentage of female employees | % | 27.53 | 41 | ||
| Percentage of female employees in lower-level management | % | 20.31 | 25.04 | 27.84 | 82 |
| Percentage of female employees in management positions | % | 19.87 | 22.66 | 26.14 | 82 |
| Percentage of female employees in middle-level management | % | 16.67 | 16.56 | 21.18 | 82 |
| Percentage of female employees in revenue-generating positions (excluding EEW GmbH) | % | 25.24 | 24.32 | 24.48 | 82 |
| Percentage of female employees in top-level management | % | 21.57 | 27.91 | 24.56 | 82 |
| Percentage of local employees (Yanjing Brewery, Beijing) | % | 84 | 41 | ||
| Percentage of local employees among new hires (Yanjing Brewery, Beijing) | % | 52.7 | 41 | ||
| Percentage of male employees | % | 72.47 | 41 | ||
| Percentage of rank-and-file female employees | % | 29.69 | 29.15 | 28.27 | 82 |
| Total number of employees in safety training | Person-time | 221245 | 197213 | 445018 | 83 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Attrition rate | % | 9.45 | 41 | ||
| Attrition rate change vs 2023 | % | -2.8 | 41 | ||
| Employee turnover rate by age - 29 and below | % | 15.90 | 17.31 | 9.95 | 83 |
| Employee turnover rate by age - 30 to 50 | % | 7.15 | 11.89 | 9.70 | 83 |
| Employee turnover rate by age - 51 and above | % | 3.37 | 9.76 | 8.24 | 83 |
| Employee turnover rate by gender - Female | % | 7.17 | 11.38 | 9.15 | 83 |
| Employee turnover rate by gender - Male | % | 7.91 | 12.60 | 9.59 | 83 |
| Employee turnover rate by region - Hong Kong, Macao and Taiwan of China | % | 10.53 | 3.03 | 18.75 | 83 |
| Employee turnover rate by region - Other countries and regions | % | 7.78 | 9.68 | 7.68 | 83 |
| Employee turnover rate by region - The Chinese mainland | % | 7.69 | 12.38 | 9.53 | 83 |
| Percentage of employees who left | % | 7.70 | 12.25 | 9.45 | 83 |
| Total number of employees who left | Person | 2813 | 3825 | 2824 | 83 |
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 serious injuries and fatalities among employees | Time | 1 | 83 | ||
| Percentage of work-related fatalities among employees | % | 0.00 | 0.00 | 0.00 | 83 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Lost workday rate (LWD) | 9.94 | 2.52 | 83 | ||
| Lost-time injuries frequency rate (LTIFR) | 0.00 | 83 | |||
| Number of working days lost due to work-related injuries | Day | 3782 | 3104 | 752 | 83 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coverage of safety training by rank - Lower-level management | % | 99.21 | 95.57 | 83 | |
| Coverage of safety training by rank - Middle-level management | % | 98.69 | 94.17 | 83 | |
| Coverage of safety training by rank - The rank and file | % | 99.79 | 99.85 | 83 | |
| Coverage of safety training by rank - Top-level management | % | 93.75 | 80.70 | 83 | |
| Investment on production safety | RMB 100 million | 17.71 | 19.88 | 24.97 | 83 |
| Total hours of safety training | Hour | 423771 | 411165 | 220266 | 83 |
| Year-on-year change in workplace safety investment | % | 24.07 | 17 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Percentage of trained employees by gender - Female | % | 28.54 | 99.12 | 83 | |
| Percentage of trained employees by gender - Male | % | 71.46 | 99.00 | 83 | |
| Percentage of trained employees by rank - Lower-level management | % | 13.15 | 96.65 | 84 | |
| Percentage of trained employees by rank - Middle-level management | % | 1.71 | 93.36 | 84 | |
| Percentage of trained employees by rank - The rank and file | % | 85.01 | 90.60 | 84 | |
| Percentage of trained employees by rank - Top-level management | % | 0.13 | 68.42 | 84 | |
| R&D investment | Billion yuan, billion RMB | 19.3 | 21.0 | 19.2 | 17, 84 |
| R&D positions | 4222 | 2751 | 4897 | 84 | |
| Total number of employees trained | Person | 30297 | 29401 | 83 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours by gender - Female | Hour | 29.26 | 27.17 | 26.87 | 84 |
| Average training hours by gender - Male | Hour | 26.59 | 33.20 | 29.10 | 84 |
| Average training hours by rank - Lower-level management | Hour | 28.85 | 122.56 | 68.17 | 84 |
| Average training hours by rank - Middle-level management | Hour | 52.17 | 44.09 | 27.02 | 84 |
| Average training hours by rank - The rank and file | Hour | 26.37 | 25.04 | 26.08 | 84 |
| Average training hours by rank - Top-level management | Hour | 101.28 | 111.23 | 16.77 | 84 |
| Hours of safety training by rank - Lower-level management | Hour | 29677 | 50436 | 62520 | 83 |
| Hours of safety training by rank - Middle-level management | Hour | 14885 | 16147 | 13575 | 83 |
| Hours of safety training by rank - The rank and file | Hour | 376035 | 342079 | 367095 | 83 |
| Hours of safety training by rank - Top-level management | Hour | 3174 | 2503 | 1927 | 83 |
| Total hours of employee training | Hour | 921899 | 982985 | 851387 | 83 |
| Year-on-year change in training investment amount | % | 11.64 | 17 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| ISO 45001/OHSAS 18001-certified suppliers | 358 | 599 | 673 | 84 | |
| ISO 9001-certified suppliers | 669 | 961 | 948 | 84 | |
| Identification of key suppliers - Tier 1 suppliers | 638 | 411 | 413 | 84 | |
| Number of suppliers by geographical region - Hong Kong, Macao and Taiwan and overseas | 51 | 2388 | 3097 | 84 | |
| Number of suppliers by geographical region - The Chinese mainland | 2078 | 3773 | 3823 | 84 | |
| Total number of suppliers | 2129 | 6161 | 6920 | 84 |
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 |
|---|---|---|---|---|---|
| ISO 14001-certified suppliers | 439 | 676 | 707 | 84 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Newly granted patents | 213 | 226 | 237 | 84 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Anti-corruption training - Average training hours per person for Directors | Hour | 3.5 | 8 | 8 | 84 |
| Anti-corruption training - Average training hours per person for staff | Hour | 1.5 | 0.5 | 1.3 | 84 |
| Anti-corruption training - Number of training sessions for Directors | Session | 5 | 2 | 2 | 84 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Community investment - Charity project management expenses | RMB 10000 | 16.7 | 84 | ||
| Community investment - Charity spending | RMB 10000 | 399.8 | 734.7 | 459.1 | 84 |
| Community investment - Commercial support | RMB 10000 | 309.5 | 84 | ||
| Community investment - Cost of in-kind donations | RMB 10000 | 40.0 | 1 | 84 | |
| Community investment - Donation | RMB 10000 | 368.5 | 458.1 | 84 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tonne | 94.9 | 81.9 | 79.8 |
| NOₓ Emissions | Tonne | 3516.4 | 4231.1 | 3969.4 |
| SOₓ Emissions | Tonne | 697.9 | 926.3 | 1036 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | kg CO2 equivalent | 798000 | 694000 | 692000 | 208776 |
| Indirect Energy Emissions (Scope 2) | kg CO2 equivalent | 392000 | 517000 | 1112706.75 | 269511 |
| Total GHG Emissions | kg CO2 equivalent | 1191000 | 1212000 | 114323.29 | |
| Total GHG Emissions Intensity (By Revenue) | 10000 tonnes CO2 equivalent/RMB 1 billion in revenue | 1.5 | 1.47 | 1.43 |
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 | tonnes | 443000 | 499000 | 465000 |
| Total Hazardous Waste Intensity (By Revenue) | 10000 tonnes/RMB 1 billion in revenue | 0.56 | 0.61 | 0.55 |
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 |
|---|---|---|---|---|
| Glass Waste | 10000 tonnes | 5 | 4.8 | 4.5 |
| Paper Waste | Tonne | 2.2 | 4.6 | 4.4 |
| Plastic Waste | tonnes | 232 | ||
| Total Non-Hazardous Waste Intensity (By Revenue) | 10000 tonnes/RMB 1 billion in revenue | 7.08 | 6.49 | 5.09 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2040 |
|---|---|---|
| Percentage of Reduction in GHG Intensity Compared to Last Year | % | 45 |
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 | 2025 | 2030 |
|---|---|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | 10000 tonnes of standard coal equivalent/RMB 1 billion in revenue | 0.64 | 0.66 | 0.77 | ||
| Diesel Fuel Consumption | kL | 1904.2 | 1455 | 2078.4 | ||
| Fossil Fuel Consumption | 10000 tonnes | 4.1 | 2.7 | 2 | ||
| Gasoline Consumption | kL | 1252.1 | 557 | 928.7 | ||
| LPG Consumption | Tonne | 14.6 | 3.7 | 5.5 | ||
| Natural Gas Consumption | 10000 cubic meters | 85860.1 | 11865.2 | 11704 | ||
| Purchased Electricity | 10000 kWh | 36358.4 | 33914.4 | 34960.7 | ||
| Purchased Heating | Tonne | 451851.9 | 387108.3 | 363942.8 | ||
| Purchased Steam | Tonne | 451851.9 | 387108.3 | 363942.8 | ||
| Renewable Energy Consumption | tonnes of standard coal equivalent | 14400 | 33000 | |||
| Total Direct Energy Consumption | 10000 tonnes of standard coal equivalent | 50.7 | 54 | 64.4 | ||
| Total Energy Consumption | 10000 tonnes of standard coal equivalent | 50.7 | 54 | 64.4 | ||
| Total Indirect Energy Consumption | 10000 kWh | 36358.4 | 33914.4 | 34960.7 | ||
| Total Purchased Energy | 10000 kWh | 36358.4 | 33914.4 | 34960.7 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | Tonne | 17880000 | 25897000 | 24296000 |
| Water Consumption Intensity (By Revenue) | 10000 tonnes/RMB 1 billion in revenue | 22.53 | 31.47 | 28.9 |
| Water Consumption in Office | Tonne | 647 | 573 | 641 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Water Consumption Reduction Percentage Compared to Last Year | % | 8.17 |
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 | yuan | 45644000 | 133623000 | 253492000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | Person | 23378 | 21514 | 20176 |
| Number of Employees Aged Above 50 | Person | 6104 | 5493 | 5547 |
| Number of Employees Aged Below 30 | Person | 4238 | 4224 | 4160 |
| Number of Employees in Hong Kong | Person | 34 | 33 | 32 |
| Number of Employees in Mainland China | Person | 32288 | 29742 | 28328 |
| Number of Employees in Overseas | Person | 1398 | 1456 | 1523 |
| Number of Female Employees | persons | 9483 | 8929 | 8226 |
| Number of General Employees | persons | 27599 | ||
| Number of Junior Management Employees | persons | 1670 | ||
| Number of Male Employees | Person | 24237 | 22302 | 21657 |
| Number of Middle Management Employees | persons | 557 | ||
| Number of Senior Management Employees | persons | 57 | ||
| Number of Total Employees | Person | 33720 | 31231 | 29883 |
| Percentage of Female Employees | % | 27.53 | ||
| Percentage of Male Employees | % | 72.47 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 7.15 | 11.89 | 9.7 |
| Turnover Rate of Employees Aged Above 50 | % | 3.37 | 9.76 | 8.24 |
| Turnover Rate of Employees Aged Below 30 | % | 15.9 | 17.31 | 9.95 |
| Turnover Rate of Employees in Hong Kong | % | 10.53 | 3.03 | 18.75 |
| Turnover Rate of Employees in Mainland China | % | 7.69 | 12.38 | 9.53 |
| Turnover Rate of Employees in Overseas | % | 7.78 | 9.68 | 7.68 |
| Turnover Rate of Female Employees | % | 7.17 | 11.38 | 9.15 |
| Turnover Rate of Male Employees | % | 7.91 | 12.6 | 9.59 |
| Turnover Rate of Total Employees | % | 7.7 | 12.25 | 9.45 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 3782 | 3104 | 752 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Investment in Work Safety | RMB 100 million | 17.71 | 19.88 | 24.97 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Percentage of Trained Female Employees | % | 28.54 | 99.12 |
| Percentage of Trained General Employees | % | 85.01 | 90.6 |
| Percentage of Trained Male Employees | % | 71.46 | 99 |
| Percentage of Trained Middle Management | % | 1.71 | 93.36 |
| Percentage of Trained Operational Employees | % | 13.15 | 96.65 |
| Percentage of Trained Senior Management | % | 0.13 | 68.42 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hour | 29.26 | 27.17 | 26.87 |
| Average Training Hours (General Staff) | Hour | 26.37 | 25.04 | 26.08 |
| Average Training Hours (Male) | Hour | 26.59 | 33.2 | 29.1 |
| Average Training Hours (Middle Management) | Hour | 52.17 | 44.09 | 27.02 |
| Average Training Hours (Senior Management) | Hour | 101.28 | 111.23 | 16.77 |
| Total Training Hours | Hour | 921899 | 982985 | 851387 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 2078 | 3773 | 3823 | |
| Number of Total Suppliers | 2129 | 6161 | 6920 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit |
|---|---|
| Satisfaction Rate of Customer Complaint Handling | % |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Patents Granted | 213 | 226 | 237 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Anti-corruption Policies have been Communicated to | % |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Anti-corruption Training Hours for Directors and Management | Hour | 3.5 | 8 | 8 |
| Average Anti-corruption Training Hours for General Employees | Hour | 1.5 | 0.5 | 1.3 |
| Number of Anti-corruption Training Session | Session | 5 | 2 | 2 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Cash Donations | RMB | 3685000 | 4581000 | |
| Total In-kind Donations | RMB | 400000 | 10000 | |
| Total Social Investment | RMB | 3998000 | 14690000 | 4601000 |
| Total Volunteer Service Hours | service hours |