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 |
|---|---|---|---|---|---|
| Nitrogen oxide emissions | Tons | 8.88 | 11.22 | 11.25 | 91 |
| Particulate matter emissions | Tons | 12.36 | 35.00 | 47.4 | 91 |
| Particulate matter emissions data intensity (per RMB100 million revenue) | 0.19 | 91 | |||
| Sulfur dioxide emissions data intensity (per RMB100 million revenue) | 0.003 | 91 | |||
| Volatile organic compounds (VOCs) emissions | Tons | 20.74 | 23.52 | 21.53 | 91 |
| Volatile organic compounds (VOCs) emissions data intensity (per RMB100 million revenue) | 0.09 | 91 | |||
| Wastewater pollutant discharge - COD | Tons | 21.73 | 15.68 | 91 | |
| Wastewater pollutant discharge - COD data intensity (per RMB100 million revenue) | 0.06 | 91 | |||
| Wastewater pollutant discharge - NOx | Tons | 0.75 | 1.62 | 91 | |
| Wastewater pollutant discharge - NOx data intensity (per RMB100 million revenue) | 0.006 | 91 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Direct GHG emissions (Scope 1) | Tons of CO2e | 23140.20 | 31353.17 | 30604.70 | 51 |
| Direct GHG emissions (Scope 1) emission intensity | Tons of CO2 equivalent per RMB 100 million revenue | 132.06 | 123.63 | 121.7371 | 51 |
| Direct greenhouse gas emissions (Scope 1) | Tons of CO2e | 23140.20 | 31353.17 | 30604.70 | 91 |
| Direct greenhouse gas emissions (Scope 1) data intensity (per RMB100 million revenue) | 123.63 | 91 | |||
| Indirect GHG emissions (Scope 2) | Tons of CO2e | 71698.35 | 84326.44 | 78769.12 | 51 |
| Indirect GHG emissions (Scope 2) emission intensity | Tons of CO2 equivalent per RMB 100 million revenue | 409.16 | 318.18 | 313.3219 | 51 |
| Indirect greenhouse gas emissions (Scope 2) | Tons of CO2e | 71698.35 | 84326.44 | 78769.12 | 91 |
| Indirect greenhouse gas emissions (Scope 2) data intensity (per RMB100 million revenue) | 318.18 | 91 | |||
| Nitrogen oxide emissions data intensity (per RMB100 million revenue) | 0.045 | 91 | |||
| Other indirect GHG emissions (Scope 3) - Business travel | Tons of CO2e | 1949.04 | 51 | ||
| Other indirect GHG emissions (Scope 3) - Employee commute | Tons of CO2e | 1503.20 | 51 | ||
| Other indirect greenhouse gas emissions (Scope 3) (business travel and employee commuting only) | Tons of CO2e | 3452.24 | 91 | ||
| Other indirect greenhouse gas emissions (Scope 3) (business travel and employee commuting only) data intensity (per RMB100 million revenue) | 13.94 | 91 | |||
| Sulfur dioxide emissions | Tons | 0.57 | 0.68 | 0.76 | 91 |
| Total greenhouse gas emissions | Tons of CO2e | 94838.54 | 115679.61 | 109372.79 | 91 |
| Total greenhouse gas emissions data intensity (per RMB100 million revenue) | 441.8 | 91 |
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 |
|---|---|---|---|---|---|
| Hazardous waste generated - Other | Tons | 290.83 | 408.33 | 401.27 | 92 |
| Hazardous waste generated - Other data intensity (per RMB100 million revenue) | 1.62 | 92 | |||
| Hazardous waste generated - Waste activated carbon | Tons | 174.82 | 174.70 | 197.24 | 92 |
| Hazardous waste generated - Waste activated carbon data intensity (per RMB100 million revenue) | 0.79 | 92 | |||
| Hazardous waste generated - Waste developer | Tons | 15.16 | 20.47 | 9.03 | 92 |
| Hazardous waste generated - Waste developer data intensity (per RMB100 million revenue) | 0.03 | 92 | |||
| Hazardous waste generated - Waste oil | Tons | 35.09 | 105.80 | 74.27 | 92 |
| Hazardous waste generated - Waste oil data intensity (per RMB100 million revenue) | 0.30 | 92 | |||
| Hazardous waste generated - Waste organic resin | Tons | 8.28 | 44.79 | 68.85 | 92 |
| Hazardous waste generated - Waste organic resin data intensity (per RMB100 million revenue) | 0.27 | 92 | |||
| Lacquer residue generated | Tons | 704.47 | 615.77 | 528.32 | 91 |
| Lacquer residue generated data intensity (per RMB100 million revenue) | 2.13 | 91 | |||
| Pickling sludge generated | Tons | 843.31 | 736.26 | 526.16 | 91 |
| Pickling sludge generated data intensity (per RMB100 million revenue) | 2.12 | 91 | |||
| Total hazardous waste generated | Tons | 2365.54 | 2466.45 | 2364.52 | 91 |
| Total hazardous waste generated data intensity (per RMB100 million revenue) | 9.55 | 91 | |||
| Waste paint bucket generated | Tons | 293.58 | 360.33 | 559.36 | 91 |
| Waste paint bucket generated data intensity (per RMB100 million revenue) | 2.25 | 91 |
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 |
|---|---|---|---|---|---|
| Non-hazardous waste generated - Domestic garbage | Tons | 2613.85 | 3491.76 | 3257.81 | 92 |
| Non-hazardous waste generated - Domestic garbage data intensity (per RMB100 million revenue) | 13.15 | 92 | |||
| Non-hazardous waste generated - Other | Tons | 2878.91 | 3387.38 | 12624.57 | 92 |
| Non-hazardous waste generated - Other data intensity (per RMB100 million revenue) | 50.99 | 92 | |||
| Non-hazardous waste generated - Scrap metal | Tons | 28372.37 | 26747.96 | 16675.78 | 92 |
| Non-hazardous waste generated - Scrap metal data intensity (per RMB100 million revenue) | 67.36 | 92 | |||
| Non-hazardous waste generated - Total non-hazardous waste generated | Tons | 34551.23 | 33668.05 | 33740.65 | 92 |
| Non-hazardous waste generated - Total non-hazardous waste generated data intensity (per RMB100 million revenue) | 136.29 | 92 | |||
| Non-hazardous waste generated - Waste wood | Tons | 686.10 | 40.95 | 79.49 | 92 |
| Non-hazardous waste generated - Waste wood data intensity (per RMB100 million revenue) | 0.32 | 92 | |||
| Total sewage discharge data intensity (per RMB100 million revenue) | 2.35 | 91 |
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 |
|---|---|---|---|---|---|
| Energy consumption - Clean energy usage | MWh | 3014.06 | 16813.09 | 92 | |
| Energy consumption - Clean energy usage data intensity (per RMB100 million revenue) | 67.91 | 92 | |||
| Energy consumption - Diesel consumption | Kiloliter | 559.54 | 784.48 | 767.25 | 92 |
| Energy consumption - Diesel consumption data intensity (per RMB100 million revenue) | 3.09 | 92 | |||
| Energy consumption - Gasoline consumption | Kiloliter | 190.78 | 245.32 | 255.93 | 92 |
| Energy consumption - Gasoline consumption data intensity (per RMB100 million revenue) | 1.03 | 92 | |||
| Energy consumption - Total electricity purchased | MWh | 93115.77 | 117183.31 | 116890.38 | 92 |
| Energy consumption - Total electricity purchased data intensity (per RMB100 million revenue) | 472.16 | 92 | |||
| Energy consumption - Total energy use | Tons of standard coal | 24535.23 | 33257.59 | 33133.32 | 92 |
| Energy consumption - Total energy use data intensity (per RMB100 million revenue) | 133.83 | 92 | |||
| Energy consumption - Total natural gas consumption | Thousand cubic meters | 9156.80 | 13033.91 | 12948.32 | 92 |
| Energy consumption - Total natural gas consumption data intensity (per RMB100 million revenue) | 52.30 | 92 | |||
| Energy consumption - Total oil consumption | Kiloliter | 750.32 | 1029.80 | 1023.18 | 92 |
| Energy consumption - Total oil consumption data intensity (per RMB100 million revenue) | 4.13 | 92 | |||
| Mileage of business vehicles | Kilometers | 2261736 | 2068449 | 91 | |
| Photovoltaic project installed capacity - CIMC Hongtu | MW | 5 | 42 | ||
| Photovoltaic project installed capacity - CIMC Safe Tech | MW | 0.7 | 42 | ||
| Photovoltaic project installed capacity - CIMC Sanctum | MW | 3.9 | 42 | ||
| Photovoltaic project installed capacity - CLPT | MW | 2.07 | 42 | ||
| Photovoltaic project installed capacity - GCT | MW | 1.2 | 42 | ||
| Photovoltaic project installed capacity - Nantong Energy | MW | 1.11 | 42 | ||
| Photovoltaic project installed capacity - SOE | MW | 5.67 | 42 | ||
| Photovoltaic project installed capacity - Shijiazhuang Enric | MW | 6.24 | 42 | ||
| Photovoltaic project roof construction area - CIMC Hongtu | m² | 70000 | 42 | ||
| Photovoltaic project roof construction area - CIMC Safe Tech | m² | 6500 | 42 | ||
| Photovoltaic project roof construction area - CIMC Sanctum | m² | 37000 | 42 | ||
| Photovoltaic project roof construction area - CLPT | m² | 19000 | 42 | ||
| Photovoltaic project roof construction area - GCT | m² | 14000 | 42 | ||
| Photovoltaic project roof construction area - Nantong Energy | m² | 8000 | 42 | ||
| Photovoltaic project roof construction area - SOE | m² | 60000 | 42 | ||
| Photovoltaic project roof construction area - Shijiazhuang Enric | m² | 70000 | 42 | ||
| Total photovoltaic installed capacity across member enterprises | MW | 19.65 | 42 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Domestic water discharged | Thousand cubic meters | 192.29 | 263.05 | 233.36 | 91 |
| Domestic water discharged data intensity (per RMB100 million revenue) | 0.94 | 91 | |||
| Process water discharged | Thousand cubic meters | 333.47 | 452.60 | 348.75 | 91 |
| Process water discharged data intensity (per RMB100 million revenue) | 1.4 | 91 | |||
| Resource consumption - Domestic water consumption | 10000 tons | 46.11 | 58.91 | 92 | |
| Resource consumption - Domestic water consumption data intensity (per RMB100 million revenue) | 0.23 | 92 | |||
| Resource consumption - Industrial water consumption | 10000 tons | 102.92 | 83.24 | 92 | |
| Resource consumption - Industrial water consumption data intensity (per RMB100 million revenue) | 0.33 | 92 | |||
| Resource consumption - Percentage of recycled water use | % | 8.92 | 9.98 | 92 | |
| Resource consumption - Recycled water use | 10000 tons | 13.29 | 13.97 | 92 | |
| Resource consumption - Recycled water use data intensity (per RMB100 million revenue) | 0.05 | 92 | |||
| Resource consumption - Total water use | 10000 tons | 137.16 | 149.03 | 142.15 | 92 |
| Resource consumption - Total water use data intensity (per RMB100 million revenue) | 0.57 | 92 | |||
| Total sewage discharge | Thousand cubic meters | 525.76 | 715.65 | 582.11 | 91 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of subsidiaries with ISO 50001 Energy Management System certification | subsidiaries | 7 | 42 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Resource consumption - Total packaging used | Tons | 2356.58 | 26.12 | 92 |
| Resource consumption - Total packaging used data intensity (per RMB100 million revenue) | 0.10 | 92 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2024 | 2024 (end of) | Report Pages |
|---|---|---|---|---|
| Number of member enterprises with ISO 9001 Quality Management System Certificates | 15 | 64 | ||
| Proportion of member enterprises with ISO 50001 Energy Management System certification | % | 27 | 42 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|---|
| Collective agreement signing rate | % | 100 | 80 | ||||
| Contract employees by age: 31-49 | Person | 6244 | 6614 | 6477 | 93 | ||
| Contract employees by age: Above 50 (inclusive) | Person | 1094 | 1571 | 1281 | 93 | ||
| Contract employees by age: Under 30 (inclusive) | Person | 1255 | 1324 | 1387 | 93 | ||
| Contract employees by educational background: Bachelor's degree | Person | 2163 | 2537 | 2594 | 93 | ||
| Contract employees by educational background: Doctoral degree or above | Person | 5 | 11 | 5 | 93 | ||
| Contract employees by educational background: Junior college degree | Person | 1691 | 1926 | 2008 | 93 | ||
| Contract employees by educational background: Master's degree | Person | 297 | 415 | 418 | 93 | ||
| Contract employees by educational background: Senior high school degree or below | Person | 4437 | 4620 | 4120 | 93 | ||
| Contract employees by employment type: Contract employee | Person | 8593 | 9509 | 9145 | 93 | ||
| Contract employees by employment type: Rehired employees, part-time employees, and dispatched employees | Person | 865 | 1128 | 1313 | 93 | ||
| Contract employees by gender: Female | Person | 1303 | 1514 | 1465 | 93 | ||
| Contract employees by gender: Male | Person | 7290 | 7995 | 7680 | 93 | ||
| Contract employees by region: Chinese mainland | Person | 8577 | 8698 | 9128 | 93 | ||
| Contract employees by region: Hong Kong, Macao, Taiwan | Person | 8 | 9 | 9 | 93 | ||
| Contract employees by region: Overseas | Person | 8 | 802 | 8 | 93 | ||
| Number of R&D Personnel (person) | person | 1075 | 1143 | 1247 | 1335 | 1681 | 61 |
| Number of disabled employees | 26 | 80 | |||||
| Number of employees aged 31 to 49 | 6477 | 80 | |||||
| Number of employees aged above 50 (inclusive) | 1281 | 80 | |||||
| Number of employees from ethnic minorities | 145 | 80 | |||||
| Number of employees in Chinese mainland | 9128 | 80 | |||||
| Number of employees in Hong Kong, Macao and Taiwan | 9 | 80 | |||||
| Number of employees overseas | 8 | 80 | |||||
| Number of employees under 30 (inclusive) | 1387 | 80 | |||||
| Number of employees with Han nationality | 9000 | 80 | |||||
| Number of employees with bachelor's degree | 2594 | 80 | |||||
| Number of employees with doctoral degree or above | 5 | 80 | |||||
| Number of employees with junior college degree | 2008 | 80 | |||||
| Number of employees with master's degree | 418 | 80 | |||||
| Number of employees with senior high school degree or below | 4120 | 80 | |||||
| Number of female employees | 1465 | 80 | |||||
| Number of full-time employees | 9145 | 80 | |||||
| Number of male employees | 7680 | 80 | |||||
| Number of part-time employees | 1313 | 80 | |||||
| Percentage of female employees | % | 16.0 | 80 | ||||
| Percentage of senior management positions held by women | % | 17 | 80 | ||||
| Proportion of R&D Personnel to All Employees (%) | % | 12.39 | 12.20 | 12.95 | 13.37 | 18.38 | 61 |
| Shares allocated under stock option incentive plan | million shares | 39.5 | 81 | ||||
| Total number of employees | 9145 | 80 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Contract employee turnover by age: 50岁及以上 | % | 3.7 | 7.5 | 2.73 | 93 |
| Contract employee turnover by age: Above 50 (inclusive) | % | 14.4 | 10.5 | 11.73 | 93 |
| Contract employee turnover by age: Under 30 (inclusive) | % | 40.2 | 23.6 | 20.4 | 93 |
| Contract employee turnover by gender: Female | % | 8.9 | 7.5 | 6.89 | 93 |
| Contract employee turnover by gender: Male | % | 18.2 | 12.6 | 12.72 | 93 |
| Contract employee turnover by region: Chinese mainland | % | 16.8 | 12.9 | 11.79 | 93 |
| Contract employee turnover by region: Hong Kong, Macao, Taiwan | % | 25.0 | 11.1 | 93 | |
| Contract employee turnover by region: Overseas | % | 0.0 | 0.3 | 25.0 | 93 |
| Overall employee turnover rate | % | 11.8 | 80 | ||
| Total employee turnover | 1078 | 80 |
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 |
|---|---|---|---|---|---|
| Work-related death rate | % | 0.01 | 94 | ||
| Work-related deaths | Person | 1 | 94 | ||
| Work-related injuries | Times | 6 | 8 | 12 | 94 |
| Work-related injuries/one million work hours | % | 0.29 | 0.32 | 0.53 | 94 |
| Work-related injuries/one thousand employees | % | 0.6 | 0.8 | 1.15 | 94 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Lost workdays due to work-related injuries | Days | 170 | 265.5 | 6068.5 | 94 |
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 employees trained | % | 87.57 | 96.59 | 93.3 | 94 |
| Percentage of female employees trained | % | 87.95 | 95.35 | 90.44 | 94 |
| Percentage of male employees trained | % | 87.50 | 96.83 | 93.84 | 94 |
| Percentage of middle management trained | % | 88.37 | 96.26 | 98.35 | 94 |
| Percentage of ordinary employees trained | % | 87.43 | 96.72 | 93.04 | 94 |
| Percentage of senior management trained | % | 95.70 | 87.10 | 94.23 | 94 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|---|
| Average training hours of employees | Hours | 19.05 | 17.02 | 25.80 | 94 | ||
| Average training hours of female employees | Hours | 18.91 | 14.27 | 19.42 | 94 | ||
| Average training hours of male employees | Hours | 19.07 | 17.54 | 27.01 | 94 | ||
| Average training hours of middle management | Hours | 17.46 | 24.79 | 45.86 | 94 | ||
| Average training hours of ordinary employees | Hours | 19.17 | 16.19 | 24.40 | 94 | ||
| Average training hours of senior management | Hours | 16.68 | 51.86 | 59.88 | 94 | ||
| R&D investment (RMB 1000) | RMB 1000 | 359085 | 524570 | 562498 | 690440 | 733925 | 61 |
| Total training hours of employees | Hours | 163681.01 | 148363.81 | 235895.86 | 94 | ||
| Total training hours of female employees | Hours | 24639.50 | 19653.84 | 28444.26 | 94 | ||
| Total training hours of male employees | Hours | 139041.52 | 128709.97 | 207451.60 | 94 | ||
| Total training hours of middle management | Hours | 8259.58 | 11280.45 | 19400.08 | 94 | ||
| Total training hours of ordinary employees | Hours | 153869.77 | 132260.20 | 210268.33 | 94 | ||
| Total training hours of senior management | Hours | 1551.67 | 4823.16 | 6227.45 | 94 |
Number of suppliers by geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Annual number of new suppliers | 255 | 73 | |
| Number of overseas suppliers | 83 | 73 | |
| Number of suppliers in Central China | 161 | 73 | |
| Number of suppliers in East-northern China | 42 | 73 | |
| Number of suppliers in Eastern China | 1271 | 73 | |
| Number of suppliers in Hong Kong, Macao, and Taiwan regions | 52 | 73 | |
| Number of suppliers in Northern China | 239 | 73 | |
| Number of suppliers in Southern China | 57 | 73 | |
| Number of suppliers in West-northern China | 25 | 73 | |
| Number of suppliers in West-southern China | 46 | 73 | |
| Number of terminated suppliers during the year | 8 | 73 | |
| Total number of suppliers | 1976 | 73 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Number of suppliers participating in annual performance appraisal | 1462 | 73 | |
| Number of suppliers who have signed the HSE Commitment | 781 | 73 | |
| Number of suppliers who have signed the Sunshine Cooperation Commitment Letter | 1727 | 73 | |
| Number of suppliers who received HSE training during the year | 718 | 73 | |
| Number of suppliers whose performance evaluation factors include environmental and social issues | 1199 | 73 |
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 new suppliers who passed environmental and social issues assessment during the year | 169 | 73 | |
| Number of original suppliers reassessed for environmental and social issues | 632 | 73 | |
| Number of reassessed suppliers who passed environmental and social issues assessment during the year | 454 | 73 | |
| Number of suppliers certified by environmental management system | 834 | 73 | |
| Number of suppliers certified by occupational health and safety management system | 837 | 73 | |
| Number of suppliers certified by quality management system | 1211 | 73 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|---|
| Number of invention patents | 82 | 85 | 66 | 114 | 89 | 62 | |
| Number of new invention patent applications filed | applications | 89 | 61 | ||||
| Percentage of invention patents | % | 61.2 | 69.1 | 53.23 | 60.32 | 62.24 | 62 |
| Proportion of invention patents filed to total patents | % | 62.24 | 61 | ||||
| Total number of patent applications | 134 | 123 | 124 | 189 | 143 | 62 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 (end of) | Report Pages |
|---|---|---|---|
| Percentage of member enterprises with ISO 9001 Quality Management System Certificates | % | more than 58 | 64 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Handling rate of valid anti-corruption reports | % | 100 | 35 |
| Number of audit findings to be enhanced | 170 | 35 | |
| Number of audits conducted | 13 | 35 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Coverage rate of anti-corruption training for employees | % | 23 | 35 |
| Coverage rate of training for the Board of Directors | % | 100 | 35 |
| Number of anti-corruption training sessions for the Board | 1 | 35 | |
| Number of board members participating in anti-corruption training | 9 | 35 | |
| Number of participants in specific anti-corruption training | 2360 | 35 | |
| Number of specific anti-corruption training sessions | 23 | 35 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tons | 12.36 | 35 | 47.4 |
| NOₓ Emissions | Tons | 8.88 | 11.22 | 11.25 |
| PM Emission Intensity (By Revenue) | per RMB100 million revenue | 0.19 | ||
| SOₓ Emission Intensity (By Revenue) | per RMB100 million revenue | 0.003 | ||
| SOₓ Emissions | Tons | 0.57 | 0.68 | 0.76 |
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 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | Tons of CO2e | 23140.2 | 31353.17 | 30604.7 |
| Indirect Energy Emissions (Scope 2) | Tons of CO2e | 71698.35 | 84326.44 | 78769.12 |
| Scope 1 GHG Emissions Intensity (By Revenue) | Tons of CO2e per RMB 100 million revenue | 132.06 | 123.63 | 121.7371 |
| Scope 2 GHG Emissions Intensity (By Revenue) | Tons of CO2e per RMB 100 million revenue | 409.16 | 318.18 | 313.3219 |
| Scope 3 GHG Emissions (Business Travel) | Tons of CO2e | 1949.04 | ||
| Scope 3 GHG Emissions (Employee Commuting) | Tons of CO2e | 1503.2 | ||
| Scope 3 GHG Emissions Intensity (By Revenue) | Tons of CO2e per RMB 100 million revenue | 13.94 | ||
| Total GHG Emissions | Tons of CO2e | 94838.54 | 115679.61 | 109372.79 |
| Total GHG Emissions Intensity (By Revenue) | Tons of CO2e per RMB 100 million revenue | 541.22 | 441.81 | 441.8 |
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 | Tons | 2365.54 | 2466.45 | 2364.52 |
| Total Hazardous Waste Intensity (By Revenue) | per RMB100 million revenue | 9.55 |
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 |
|---|---|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | Tons | 2613.85 | 3491.76 | 3257.81 |
| Total Non-Hazardous Waste Intensity (By Revenue) | per RMB100 million revenue | None | None | 136.29 |
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 | Kiloliter | 559.54 | 784.48 | 767.25 |
| Diesel Fuel Consumption Intensity (By Revenue) | Kiloliter/RMB100 million | 3.09 | ||
| Energy Consumption Intensity (By Revenue) | Tons of standard coal/RMB100 million | 133.83 | ||
| Gasoline Consumption | Kiloliter | 190.78 | 245.32 | 255.93 |
| Gasoline Consumption Intensity (By Revenue) | Kiloliter/RMB100 million | 1.03 | ||
| Natural Gas Consumption | Thousand cubic meters | 9156.8 | 13033.91 | 12948.32 |
| Natural Gas Consumption Intensity (By Revenue) | Thousand cubic meters/RMB100 million | 52.3 | ||
| Purchased Electricity | MWh | 93115.77 | 117183.31 | 116890.38 |
| Purchased Electricity Intensity (By Revenue) | MWh/RMB100 million | 472.16 | ||
| Renewable Energy Consumption | MWh | 3014.06 | 16813.09 | |
| Renewable Energy Consumption Intensity (By Revenue) | MWh/RMB100 million | 67.91 | ||
| Total Energy Consumption | Tons of standard coal | 24535.23 | 33257.59 | 33133.32 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Discharge of Domestic Wastewater | cubic meters | 192290 | 263050 | 233360 |
| Discharge of Industrial Wastewater | cubic meters | 333470 | 452600 | 348750 |
| Recycled Water Percentage | % | 8.92 | 9.98 | |
| Recycled Water Usage | cubic meters | 132900 | 139700 | |
| Total Wastewater Discharge | cubic meters | 525760 | 715650 | 582110 |
| Total Water Withdrawal | cubic meters | 1371600 | 1490300 | 1421500 |
| Water Consumption | cubic meters | 1371600 | 1490300 | 1421500 |
| Water Consumption Intensity (By Revenue) | per RMB100 million revenue | 0.57 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Packaging Material Intensity (By Revenue) | per RMB100 million revenue | 0.1 | |
| Packaging Materials Consumed | Tons | 2356.58 | 26.12 |
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 | Person | 2163 | 2537 | 2594 |
| Number of Below Junior College Employees | Person | 4437 | 4620 | 4120 |
| Number of Doctoral Degree Employees | Person | 5 | 11 | 5 |
| Number of Employees Aged 30-50 | Person | 6244 | 6614 | 6477 |
| Number of Employees Aged Above 50 | Person | 1094 | 1571 | 1281 |
| Number of Employees Aged Below 30 | Person | 1255 | 1324 | 1387 |
| Number of Employees in Hong Kong | Person | 8 | 9 | 9 |
| Number of Employees in Mainland China | Person | 8577 | 8698 | 9128 |
| Number of Employees in Overseas | Person | 8 | 802 | 8 |
| Number of Female Employees | Person | 1303 | 1514 | 1465 |
| Number of Full-time Employees | Person | 8593 | 9509 | 9145 |
| Number of Male Employees | Person | 7290 | 7995 | 7680 |
| Number of Master's Degree Employees | Person | 297 | 415 | 418 |
| Number of Part-time Employees | Person | 865 | 1128 | 1313 |
| Number of Total Employees | Person | 8593 | 9509 | 9145 |
| Percentage of Female Employees | % | 16 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged Above 50 | % | 14.4 | 10.5 | 11.73 |
| Turnover Rate of Employees Aged Below 30 | % | 40.2 | 23.6 | 20.4 |
| Turnover Rate of Employees in Hong Kong and Mainland China | % | 16.8 | 12.9 | 11.79 |
| Turnover Rate of Employees in Mainland China | % | 16.8 | 12.9 | 11.79 |
| Turnover Rate of Employees in Overseas | % | 0.3 | 25 | |
| Turnover Rate of Female Employees | % | 8.9 | 7.5 | 6.89 |
| Turnover Rate of Male Employees | % | 18.2 | 12.6 | 12.72 |
| Turnover Rate of Total Employees | % | 11.8 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 | 2024 |
|---|---|---|---|
| Fatalities Rate of the Last 3 Years | % | 0.0033333333333333335 | |
| Number of Fatalities as a Result of Work-related Injuries | Person | 1 | |
| Number of Fatalities of the Last 3 Years | Person | 1 | |
| Number of Work-related Fatalities | Person | 1 | |
| Work-related Fatalities Rate | % | 0.01 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Days | 170 | 265.5 | 6068.5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 87.57 | 96.59 | 93.3 |
| Percentage of Trained Female Employees | % | 87.95 | 95.35 | 90.44 |
| Percentage of Trained General Employees | % | 87.43 | 96.72 | 93.04 |
| Percentage of Trained Male Employees | % | 87.5 | 96.83 | 93.84 |
| Percentage of Trained Middle Management | % | 88.37 | 96.26 | 98.35 |
| Percentage of Trained Senior Management | % | 95.7 | 87.1 | 94.23 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Average Training Hours (Female) | Hours | 18.91 | 14.27 | 19.42 | ||
| Average Training Hours (General Staff) | Hours | 19.17 | 16.19 | 24.4 | ||
| Average Training Hours (Male) | Hours | 19.07 | 17.54 | 27.01 | ||
| Average Training Hours (Middle Management) | Hours | 17.46 | 24.79 | 45.86 | ||
| Average Training Hours (Senior Management) | Hours | 16.68 | 51.86 | 59.88 | ||
| Average Training Hours per Employee | Hours | 19.05 | 17.02 | 25.8 | ||
| R&D investment | RMB 1000 | 359085 | 524570 | |||
| Total Training Hours | Hours | 163681.01 | 148363.81 | 235895.86 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Suppliers in Central China | 161 | |
| Number of Suppliers in East China | 1271 | |
| Number of Suppliers in Hong Kong | 52 | |
| Number of Suppliers in North China | 239 | |
| Number of Suppliers in Northeast China | 42 | |
| Number of Suppliers in Northwest China | 25 | |
| Number of Suppliers in Overseas | 83 | |
| Number of Suppliers in South China | 57 | |
| Number of Suppliers in Southwest China | 46 | |
| Number of Total Suppliers | 1976 |
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 Suppliers Participating in ESG Training | 718 | |
| Number of Suppliers Signing Safety and Environmental Protection Measures | 781 | |
| Number of Suppliers Signing Social Responsibility Code | 781 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | 801 | |
| Percentage of Suppliers Certified to ISO 14001 Environmental Management System | % | 68.87 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Accumulative Number of Patent Applications | patents | |||||
| Accumulative Number of Patents Granted | patents | |||||
| Number of Invention Patents | patents | 82 | 85 | 66 | 114 | 89 |
| Number of New Patent Applications | applications | 89 | ||||
| Number of Patents Applied | 134 | 123 | 124 | 189 | 143 | |
| Number of Patents Granted | patents |
Description of quality assurance process and recall procedures.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Passing Rate of Third-party Accreditation Performed under the Quality Management System | % | 58 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Anti-corruption Training Coverage among Directors and Management | % | 100 |
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 23 |
| Number of Anti-corruption Training Session | 23 | |
| Number of Directors and Management Attendance for Anti-corruption Training | 9 | |
| Number of People Participated in Ethical Standards and Anti-corruption Training | 2360 |