2023 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 | Report Pages |
|---|---|---|---|---|
| Ammonia nitrogen | Tonne (t) | 3.74 | 7.68 | 50 |
| COD | Tonne (t) | 2.678 | 7.708 | 50 |
| Nitrogen oxides | Tonne (t) | 51.99 | 19.29 | 50 |
| Particulate matters | Tonne (t) | 2.66 | 2.19 | 50 |
| Sulfur oxides | Tonne (t) | 54.33 | 46.56 | 50 |
| Total phosphorus | Tonne (t) | 0.21 | 0.68 | 50 |
| Volatile organic compounds (VOCs) | Tonne (t) | 287.58 | 203.82 | 50 |
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 | Report Pages |
|---|---|---|---|---|
| Carbon emission per RMB 10000 of industrial added value (Shaanxi Heavy Duty Automobile) | tonnes/RMB 10000 | 0.0056 | 28 | |
| Reduction in total greenhouse gas emissions (Scope 1, Scope 2, and Scope 3.3) compared to 2017 (KION) | % | 30 | 28 | |
| Scope 1: Direct emissions from GHG | Tonnes of carbon dioxide equivalent, tonnes of carbon dioxide equivalent | 179625.97 | 189043.37 | 28, 50 |
| Scope 2: Indirect emissions from GHG | Tonnes of carbon dioxide equivalent, tonnes of carbon dioxide equivalent | 465665.89 | 566608.83 | 28, 50 |
| Total GHG emission | Tonnes of carbon dioxide equivalent, tonnes of carbon dioxide equivalent | 644591.86 | 755746.20 | 28, 50 |
| Total GHG emission density | Tonnes of carbon dioxide equivalent/RMB billion in revenue, tonnes of carbon dioxide equivalent/RMB billion in revenue | 3860.60 | 3536.98 | 28, 50 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Hazardous waste discharge density | Tonne (t)/RMB billion in revenue | 11.571 | 13.08 | 50 |
| Total amount of hazardous waste | Tonne (t) | 20267.53 | 22063.78 | 50 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Amount of packaging materials recycled | Tonne (t) | 59860.00 | 86272.00 | 50 |
| Non-hazardous waste discharge density | Tonne (t)/RMB billion in revenue | 8196.7 | 733.40 | 50 |
| Total amount of non-hazardous waste | Tonne (t) | 14572.08 | 15619.77 | 50 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2030 | Report Pages |
|---|---|---|---|---|
| KION - reduction in Scope 1 and Scope 2 GHG emissions by 2030 | % | 4.2 | 27 | |
| Shaanxi Heavy Duty Automobile - reduction in carbon emissions per RMB 10000 of industrial added value | tonnes/RMB10000 | 0.047 | 27 |
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 |
|---|---|---|---|---|---|
| Comprehensive energy consumption intensity | 1000 kWh/RMB billion in revenue | 6633.74 | 6375.06 | 31 | |
| Comprehensive energy consumption per RMB 10000 of output value (Fast Gear) | tce/RMB 10000 | 0.0298 | 28 | ||
| Comprehensive energy consumption per RMB 10000 of output value (Lovol) | tce/RMB 10000 | 0.014 | 28 | ||
| Comprehensive energy consumption per RMB 10000 of output value (Weichai Power HQ) | tce/RMB 10000 | 0.021 | 28 | ||
| Comprehensive energy intensity | 1000 kWh/RMB billion in revenue | 6633.74 | 6375.06 | 50 | |
| Diesel | 1000 kWh | 121956.96 | 146949.29 | 50 | |
| Diesel energy consumption | 1000 kWh | 121956.96 | 144924.99 | 31 | |
| Gasoline | 1000 kWh | 2975.07 | 2889.30 | 50 | |
| Gasoline energy consumption | 1000 kWh | 2975.07 | 2869.30 | 31 | |
| PV power consumption | 1000 kWh | 11565.80 | 26573.34 | 31 | |
| PV power generation | 1000 kWh | 30688.34 | 46919.92 | 31 | |
| Power generated from PV | 1000 kWh | 3088.84 | 3866.81 | 50 | |
| Purchased electricity | 1000 kWh | 558753.69 | 750745.14 | 50 | |
| Purchased electricity energy consumption | 1000 kWh | 558753.69 | 750745.14 | 31 | |
| Purchased heat | 1000 kWh | 99702.96 | 101819.14 | 50 | |
| Purchased heat energy consumption | 1000 kWh | 99762.96 | 101819.14 | 31 | |
| Purchased natural gas | 1000 kWh | 348161.01 | 449248.18 | 50 | |
| Purchased natural gas energy consumption | 1000 kWh | 344816.01 | 449281.18 | 31 | |
| Purchased steam | Tonne (t) | 7232.054 | 6043.087 | 50 | |
| Purchased steam energy consumption | 1000 kWh | 72230.54 | 60430.87 | 31 | |
| Total comprehensive energy consumption | 1000 kWh | 1161952.93 | 1363994.25 | 31, 50 | |
| V consumption | 1000 kWh | 11565.80 | 26773.34 | 50 | |
| Weichai Power HQ - energy consumption intensity | 0.0183 | 27 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Lovol - increase in the recycling of reclaimed water | % | 25 | 27 | |||
| Recycled amount of water | Tonne (t), Tonne(s) | 584937.00 | 557323.00 | 31, 50 | ||
| Total water consumption | Tonne (t) | 2743903.20 | 2883838.78 | 50 | ||
| Total water consumption (only including municipal water) | Tonne(s) | 2745903.20 | 2883553.78 | 31 | ||
| Total water consumption per RMB 10000 of output value (Fast Gear) | tonnes/RMB 10000 | 0.58 | 28 | |||
| Total water consumption per RMB 10000 of output value (Lovol) | tonnes/RMB 10000 | 0.30 | 28 | |||
| Total water consumption per RMB 10000 of output value (Weichai Power HQ) | tonnes/RMB 10000 | 0.27 | 28 | |||
| Total water discharge | Tonne (t) | 1269574.60 | 2117270.27 | 50 | ||
| Water consumption intensity | Tonnes/RMB billion in revenue | 15676.76 | 13478.60 | 31, 50 | ||
| Weichai Power HQ - water consumption intensity | 0.266 | 27 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2025 | Report Pages |
|---|---|---|---|---|
| Fast Gear - reduction in comprehensive energy consumption per RMB 10000 of output value compared with 2022 | % | 3 | 27 | |
| Shaanxi Heavy Duty Automobile - reduction in energy consumption intensity compared with 2022 | % | 3 | 27 | |
| Shaanxi Heavy Duty Automobile - reduction in energy consumption per GDP per year | % | 2 | 27 | |
| Total energy consumption target (Shaanxi Heavy Duty Automobile) | tce | 38000 | 28 | |
| Weichai Power HQ - reduction in energy consumption intensity compared with 2020 | % | 18 | 27 |
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 | 2025 | Report Pages |
|---|---|---|---|---|
| Fast Gear - reduction in water consumption per RMB 10000 of output value compared with 2022 | % | 8 | 27 | |
| Shaanxi Heavy Duty Automobile - reduction in water consumption compared with 2022 | % | 3 | 27 | |
| Shaanxi Heavy Duty Automobile - reduction in water consumption per GDP per year | % | 1 | 27 | |
| Water-saving target, actual water consumption as % of total target (Shaanxi Heavy Duty Automobile) | % | 80.3 | 28 | |
| Weichai Power HQ - reduction in water consumption intensity compared with 2020 | % | 16 | 27 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Packaging materials consumed | Tonne (t) | 70230.00 | 104382.25 | 50 |
| Packaging materials consumption intensity | RMB billion in revenue | 40.95 | 47.68 | 50 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Certification | RMB million | more than 34.367 | more than 28.3892 | 50 |
| Coverage of ISO 14001 Environmental Management System | % | 100 | 100 | 50 |
| Environmental investment of Weichai Power | RMB million | 28.3862 | 28 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Employee with disabilities (excluding KION) | Person | 89 | 72 | 51 |
| Interns (excluding KION) | Person | 549 | 1432 | 51 |
| Labor contract-based employees (excluding KION) | Person | 46442 | 47633 | 51 |
| New recruits (excluding KION) | Person | 4282 | 4768 | 51 |
| Number of employees by age - 35 and below (excluding KION) | Person | 26021 | 26672 | 51 |
| Number of employees by age - 36-55 (excluding KION) | Person | 19568 | 19925 | 51 |
| Number of employees by age - 56 and above (excluding KION) | Person | 853 | 1026 | 51 |
| Number of employees by degree - Bachelor and above (excluding KION) | Person | 18422 | 19984 | 51 |
| Number of employees by degree - Junior college and below (excluding KION) | Person | 28020 | 27639 | 51 |
| Number of employees by ethnic group - Han nationality (excluding KION) | Person | 45074 | 45941 | 51 |
| Number of employees by ethnic group - Minorities (excluding KION) | Person | 458 | 494 | 51 |
| Number of employees by ethnic group - Overseas employees (excluding KION) | Person | 910 | 1188 | 51 |
| Number of employees by gender - Female (excluding KION) | Person | 8284 | 8363 | 51 |
| Number of employees by gender - Male (excluding KION) | Person | 38158 | 39260 | 51 |
| Number of employees by post - Administrative and finance staff (excluding KION) | Person | 6234 | 6254 | 51 |
| Number of employees by post - Production staff (excluding KION) | Person | 24543 | 25749 | 51 |
| Number of employees by post - Sales staff (excluding KION) | Person | 3782 | 2779 | 51 |
| Number of employees by post - Technical staff (excluding KION) | Person | 11883 | 12591 | 51 |
| Number of employees by rank - Junior staff (excluding KION) | Person | 44808 | 46090 | 51 |
| Number of employees by rank - Middle management (excluding KION) | Person | 1510 | 1403 | 51 |
| Number of employees by rank - Senior management (excluding KION) | Person | 124 | 130 | 51 |
| Number of employees by region - Chinese Mainland (excluding Shandong and Shaanxi, excluding KION) | Person | 6329 | 6404 | 51 |
| Number of employees by region - Hong Kong, Macao, Taiwan and overseas (excluding KION) | Person | 23 | 24 | 51 |
| Number of employees by region - Shaanxi (excluding KION) | Person | 20811 | 20209 | 51 |
| Number of employees by region - Shandong (excluding KION) | Person | 19302 | 20905 | 51 |
| Outsourced personnel (excluding KION) | Person | 3101 | 3596 | 51 |
| Percentage of employees who sign collective bargaining agreements | % | 100 | 100 | 52 |
| Social insurance coverage | % | 100 | 100 | 52 |
| Total number of employees (excluding KION) | Person | 50092 | 52751 | 51 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Employee turnover rate (excluding KION) | % | 9.77 | 7.53 | 51 |
| Employee turnover rate by age - 35 and below (excluding KION) | % | 14.35 | 10.19 | 51 |
| Employee turnover rate by age - 36-55 (excluding KION) | % | 3.66 | 3.73 | 51 |
| Employee turnover rate by age - 56 and above (excluding KION) | % | 10.08 | 12.28 | 51 |
| Employee turnover rate by gender - Female (excluding KION) | % | 9.10 | 6.31 | 51 |
| Employee turnover rate by gender - Male (excluding KION) | % | 9.91 | 7.79 | 51 |
| Employee turnover rate by post - Administrative and finance staff (excluding KION) | % | 5.57 | 5.52 | 51 |
| Employee turnover rate by post - Production staff (excluding KION) | % | 9.82 | 7.17 | 51 |
| Employee turnover rate by post - Sales staff (excluding KION) | % | 2.88 | 4.18 | 51 |
| Employee turnover rate by post - Technical staff (excluding KION) | % | 14.05 | 9.94 | 51 |
| Employee turnover rate by rank - Junior staff (excluding KION) | % | 10.05 | 7.74 | 51 |
| Employee turnover rate by rank - Middle management (excluding KION) | % | 2.05 | 1.14 | 51 |
| Employee turnover rate by rank - Senior management (excluding KION) | % | 0.81 | 3.08 | 51 |
| Employee turnover rate by region - Chinese Mainland (excluding Shandong and Shaanxi, excluding KION) | % | 21.47 | 9.88 | 51 |
| Employee turnover rate by region - Shaanxi (excluding KION) | % | 10.17 | 8.36 | 51 |
| Employee turnover rate by region - Shandong (excluding KION) | % | 5.49 | 6.07 | 51 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Work-related death rate (excluding KION) | % | 0.002 | 0.002 | 52 |
| Work-related fatalities (excluding KION) | Person | 1 | 1 | 52 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Lost days due to work injury (excluding KION) | Day(s) | 1179 | 1689 | 52 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Employee satisfaction rate | % | 93.76 | 96.83 | 52 |
| Percentage of employees trained (excluding KION) | % | 88.10 | 87.11 | 52 |
| Percentage of employees trained by gender (Female, excluding KION) | % | 18.21 | 16.21 | 52 |
| Percentage of employees trained by gender (Male, excluding KION) | % | 81.79 | 83.79 | 52 |
| Percentage of employees trained by post (Administrative and finance staff, excluding KION) | % | 22.77 | 10.98 | 52 |
| Percentage of employees trained by post (Production staff, excluding KION) | % | 46.12 | 57.81 | 52 |
| Percentage of employees trained by post (Sales staff, excluding KION) | % | 6.24 | 4.13 | 52 |
| Percentage of employees trained by post (Technical staff, excluding KION) | % | 24.87 | 27.08 | 52 |
| Percentage of employees trained by rank (Junior staff, excluding KION) | % | 96.63 | 96.91 | 52 |
| Percentage of employees trained by rank (Middle management, excluding KION) | % | 3.12 | 2.89 | 52 |
| Percentage of employees trained by rank (Senior management, excluding KION) | % | 0.26 | 0.20 | 52 |
| Percentage of trained employees by category | % | 87.71 | 41 | |
| Percentage of trained employees by gender - Female | % | 16.21 | 41 | |
| Percentage of trained employees by gender - Male | % | 83.79 | 41 | |
| Percentage of trained employees by post - Administrative and financial | % | 10.98 | 41 | |
| Percentage of trained employees by post - Production | % | 57.81 | 41 | |
| Percentage of trained employees by post - Sales staff | % | 4.13 | 41 | |
| Percentage of trained employees by post - Technical | % | 27.08 | 41 | |
| Percentage of trained employees by rank - Junior staff | % | 96.91 | 41 | |
| Percentage of trained employees by rank - Middle management | % | 2.89 | 41 | |
| Percentage of trained employees by rank - Senior management | % | 0.20 | 41 | |
| Total number of employees trained (excluding KION) | Person | 40917 | 41768 | 52 |
| Total number of trained employees | employees | 41768 | 41 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Average hours of training per employee by gender - Female | hours/person | 89.75 | 41 | |
| Average hours of training per employee by gender - Male | hours/person | 103.96 | 41 | |
| Average hours of training per employee by post - Administrative and financial | hours/person | 98.17 | 41 | |
| Average hours of training per employee by post - Production | hours/person | 113.24 | 41 | |
| Average hours of training per employee by post - Sales | hours/person | 61.17 | 41 | |
| Average hours of training per employee by post - Technical | hours/person | 88.07 | 41 | |
| Average hours of training per employee by rank - Junior staff | hours/person | 101.55 | 41 | |
| Average hours of training per employee by rank - Middle management | hours/person | 102.04 | 41 | |
| Average hours of training per employee by rank - Senior management | hours/person | 63.02 | 41 | |
| Average hours of training received per employee by category | hours | 101 | 41 | |
| Average training hours of training per employee (excluding KION) | Hour | 85.39 | 101 | 52 |
| Average training hours per employee by gender (Female, excluding KION) | Hour | 85.26 | 89.75 | 52 |
| Average training hours per employee by gender (Male, excluding KION) | Hour | 85.42 | 103.96 | 52 |
| Average training hours per employee by post (Administrative and finance staff, excluding KION) | Hour | 95.33 | 98.17 | 52 |
| Average training hours per employee by post (Production staff, excluding KION) | Hour | 80.46 | 113.24 | 52 |
| Average training hours per employee by post (Sales staff, excluding KION) | Hour | 77.27 | 61.17 | 52 |
| Average training hours per employee by post (Technical staff, excluding KION) | Hour | 92.93 | 88.07 | 52 |
| Average training hours per employee by rank (Junior staff, excluding KION) | Hour | 84.89 | 101.55 | 52 |
| Average training hours per employee by rank (Middle management, excluding KION) | Hour | 99.99 | 102.04 | 52 |
| Average training hours per employee by rank (Senior management, excluding KION) | Hour | 88.94 | 63.02 | 52 |
| Total training hours | hours | 4831990 | 41 | |
| Total training hours (excluding KION) | Hour | 3965637 | 4831990 | 52 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Total number of suppliers by region (China's Hong Kong, Macau, Taiwan as well as overseas, excluding KION) | 128 | 118 | 52 | |
| Total number of suppliers by region (Chinese Mainland, excluding KION) | 1616 | 1555 | 52 | |
| Total number of suppliers by region (Chinese-foreign joint, excluding KION) | 187 | 127 | 52 | |
| Total number of suppliers by region (Shandong, excluding KION) | 918 | 837 | 52 |
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 | Report Pages |
|---|---|---|---|---|
| Proportion of the suppliers signing a transparent procurement/integrity and honesty agreement | % | 96.49 | 93.61 | 52 |
| Supplier communication | Sessions | 108 | 76 | 52 |
| Supplier training | Sessions | 55 | 76 | 52 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Proportion of suppliers passing the IATF 16949 System Certification | % | 67.08 | 80.14 | 52 |
| Proportion of suppliers passing the ISO 14001 System Certification | % | 59.29 | 72.65 | 52 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Proportion of the suppliers using green materials and recycling packaging | % | 78.20 | 86.70 | 52 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Customer satisfaction (Fast Gear) | % | 92.00 | 95.34 | 52 |
| Customer satisfaction (Lovol) | % | 89.40 | 91.00 | 52 |
| Customer satisfaction (Shaanxi Heavy Duty Automobile) | % | 91.00 | 91.30 | 52 |
| Customer satisfaction (Weichai Power HQ) | % | 95.67 | 97.26 | 52 |
| Number of customer complaints | 1284 | 1189 | 52 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Cumulative patent grants | 17657 | 20432 | 52 | |
| Investment in R&D and innovation | RMB 10000 | 868059.02 | 868268 | 52 |
| Patent applications | 3895 | 3504 | 52 | |
| Patent grants | 2369 | 2590 | 52 |
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 | Report Pages |
|---|---|---|---|---|
| Governance - Net income attributable to shareholder | RMB billion | 49.05 | 90.14 | 53 |
| Governance - Number of board meetings | 17 | 12 | 53 | |
| Governance - Number of shareholder meetings | 4 | 3 | 53 | |
| Governance - Number of supervisory board meetings | 10 | 7 | 53 | |
| Governance - Revenue | RMB billion | 1751.58 | 2139.58 | 53 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Governance - Anti-corruption education training per person by rank - Management employees | Hour/Person | 3.3 | 3.5 | 53 |
| Governance - Anti-corruption education training per person by rank - Non-Management employees | Hour/Person | 3.0 | 3.0 | 53 |
| Governance - Anti-corruption training | Hour | 63839 | 73296 | 53 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Community contribution - Investment | RMB 10000 | 1233.10 | 106 | 53 |
| Community contribution - Number of employee volunteers (Weichai Power HQ) | Person-times | 21000 | 27000 | 53 |
| Community contribution - Volunteer time contributed (Weichai Power HQ) | Hour | 31000 | 30000 | 53 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tonne (t) | 2.66 | 2.19 |
| NOâ‚“ Emissions | Tonne (t) | 51.99 | 19.29 |
| SOâ‚“ Emissions | Tonne (t) | 54.33 | 46.56 |
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 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes of carbon dioxide equivalent | 179625.97 | 189043.37 |
| Indirect Energy Emissions (Scope 2) | tonnes of carbon dioxide equivalent | 465665.89 | 568669.83 |
| Total GHG Emissions | tonnes of carbon dioxide equivalent | 645291.86 | 756764.2 |
| Total GHG Emissions Intensity (By Revenue) | tonnes of carbon dioxide equivalent/RMB billion in revenue | 3860.6 | 3536.98 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Total Hazardous Waste | Tonne (t) | 20267.53 | 22063.78 |
| Total Hazardous Waste Intensity (By Revenue) | Tonne (t)/RMB billion in revenue | 11.571 | 13.08 |
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 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | Tonne (t) | 14572.08 | 15619.77 |
| Total Non-Hazardous Waste Intensity (By Revenue) | Tonne (t)/RMB billion in revenue | 8196.7 | 733.4 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2030 |
|---|---|---|---|
| Reduction in GHG Intensity Compared to Last Year (By Revenue) | tonnes/RMB10000 | 0.047 | |
| Scope 3 Emissions Reduction Percentage Compared to Last Year | % | ||
| Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2021 | % | 4.2 |
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 |
|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | 1000 kWh/RMB billion in revenue | 6633.74 | 6375.06 |
| Diesel Fuel Consumption | 1000 kWh | 121956.96 | 146949.29 |
| Gasoline Consumption | 1000 kWh | 2975.07 | 2889.3 |
| Natural Gas Consumption | 1000 kWh | 348161.01 | 449248.18 |
| Purchased Electricity | 1000 kWh | 558753.69 | 750745.14 |
| Purchased Heating | 1000 kWh | 99702.96 | 101819.14 |
| Purchased Steam | Tonne (t) | 7232.054 | 6043.087 |
| Solar Energy | 1000 kWh | 3088.84 | 3866.81 |
| Total Energy Consumption | 1000 kWh | 1261593.23 | 1363994.25 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|
| Municipal Water Consumption | tonne | 2745903.2 | 2883553.78 | ||
| Recycled Water Percentage | % | 25 | |||
| Recycled Water Usage | tonne | 1177984 | 1114655 | ||
| Total Wastewater Discharge | tonne | 1269574.6 | 2117270.27 | ||
| Water Consumption | tonne | 2743903.2 | 2883838.78 | ||
| Water Consumption Intensity (By Revenue) | tonnes/RMB billion in revenue | 15676.76 | 13478.6 | 0.266 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2025 |
|---|---|---|
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 2 |
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 | 2025 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 3 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Packaging Material Intensity (By Revenue) | RMB billion in revenue | 40.95 | 47.68 |
| Packaging Materials Consumed | Tonne (t) | 70230 | 104382.25 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Investment in Ecological Restoration | RMB million | 28.3862 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | Person | 18422 | 19984 |
| Number of Below Junior College Employees | Person | 28020 | 27639 |
| Number of Contractors | Person | 3101 | 3596 |
| Number of Employees Aged 30-50 | Person | 19568 | 19925 |
| Number of Employees Aged Above 50 | Person | 853 | 1026 |
| Number of Employees Aged Below 30 | Person | 26021 | 26672 |
| Number of Female Employees | Person | 8284 | 8363 |
| Number of Interns | Person | 549 | 1432 |
| Number of Junior Management Employees | Person | 44808 | 46090 |
| Number of Male Employees | Person | 38158 | 39260 |
| Number of Middle Management Employees | Person | 1510 | 1403 |
| Number of New Employees | Person | 4282 | 4768 |
| Number of Senior Management Employees | Person | 124 | 130 |
| Number of Total Employees | Person | 50092 | 52751 |
| Percentage of Bachelor's Degree Employees | % | 36.77 | 37.89 |
| Percentage of Below Junior College Employees | % | 55.93 | 52.4 |
| Percentage of Employees Aged 30-50 | % | 39.06 | 37.78 |
| Percentage of Employees Aged Above 50 | % | 1.7 | 1.95 |
| Percentage of Employees Aged Below 30 | % | 51.95 | 50.57 |
| Percentage of Female Employees | % | 16.54 | 15.86 |
| Percentage of Junior Management Employees | % | 89.46 | 87.41 |
| Percentage of Male Employees | % | 76.2 | 74.45 |
| Percentage of Middle Management Employees | % | 3.02 | 2.66 |
| Percentage of New Employees | % | 8.55 | 9.04 |
| Percentage of Senior Management Employees | % | 0.25 | 0.25 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 3.66 | 3.73 |
| Turnover Rate of Employees Aged Above 50 | % | 10.08 | 12.28 |
| Turnover Rate of Employees Aged Below 30 | % | 14.35 | 10.19 |
| Turnover Rate of Employees in Mainland China | % | 21.47 | 9.88 |
| Turnover Rate of Female Employees | % | 9.1 | 6.31 |
| Turnover Rate of Junior Management Employees | % | 10.05 | 7.74 |
| Turnover Rate of Male Employees | % | 9.91 | 7.79 |
| Turnover Rate of Middle Management Employees | % | 2.05 | 1.14 |
| Turnover Rate of Senior Management Employees | % | 0.81 | 3.08 |
| Turnover Rate of Total Employees | % | 9.77 | 7.53 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Work-related Fatalities | Person | 1 | 1 |
| Work-related Fatalities Rate | % | 0.002 | 0.002 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day(s) | 1179 | 1689 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Percentage of Employees Trained | % | 88.1 | 87.11 |
| Percentage of Trained Administrative Employees | % | 22.77 | 10.98 |
| Percentage of Trained Female Employees | % | 18.21 | 16.21 |
| Percentage of Trained General Employees | % | 96.63 | 96.91 |
| Percentage of Trained Male Employees | % | 81.79 | 83.79 |
| Percentage of Trained Middle Management | % | 3.12 | 2.89 |
| Percentage of Trained Production Employees | % | 46.12 | 57.81 |
| Percentage of Trained Senior Management | % | 0.26 | 0.2 |
| Percentage of Trained Technical Employees | % | 24.87 | 27.08 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Average Training Hours (Administrative Employees) | Hour | 95.33 | 98.17 |
| Average Training Hours (Female) | Hour | 85.26 | 89.75 |
| Average Training Hours (General Staff) | Hour | 84.89 | 101.55 |
| Average Training Hours (Male) | Hour | 85.42 | 103.96 |
| Average Training Hours (Middle Management) | Hour | 99.99 | 102.04 |
| Average Training Hours (Production Employees) | Hour | 80.46 | 113.24 |
| Average Training Hours (Sales staff) | Hour | 77.27 | 61.17 |
| Average Training Hours (Senior Management) | Hour | 88.94 | 63.02 |
| Average Training Hours (Technical Employees) | Hour | 92.93 | 88.07 |
| Average Training Hours per Employee | Hour | 85.39 | 101 |
| Total Training Hours | Hour | 3965637 | 4831990 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Suppliers in Mainland China | 1616 | 1555 | |
| Number of Total Suppliers | 1931 | 1800 |
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 | 2022 | 2023 |
|---|---|---|---|
| Percentage of Suppliers Participated in Anti-corruption Training | % | 96.49 | 93.61 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Percentage of Suppliers Certified to ISO 14001 Environmental Management System | % | 59.29 | 72.65 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Percentage of Suppliers Using Green Materials and Recycling Packaging | % | 78.2 | 86.7 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Complaint Growth Rate | % | -7.41 | |
| Total Number of Customer Complaints | 1284 | 1189 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Accumulative Number of Patents Granted | 17657 | 20432 | |
| Number of Patents Applied | 3895 | 3504 | |
| Number of Patents Granted | 2369 | 2590 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Average Anti-corruption Training Hours for Directors and Management | Hour/Person | 3.3 | 3.5 |
| Average Anti-corruption Training Hours for General Employees | Hour/Person | 3 | 3 |
| Total Hours of Anti-corruption Training | Hour | 63839 | 73296 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Participations in Volunteer Activities | Person-times | 21000 | 27000 |
| Total Social Investment | RMB 10000 | 1233.1 | 106 |
| Total Volunteer Service Hours | Hour | 31000 | 30000 |