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 |
---|---|---|---|---|---|
Nitrogen oxides (NOx) | Tonnes | 30.23 | 1.41 | 1.65 | 62 |
Non-methane hydrocarbon | Tonnes | 10.34 | 5.79 | 8.28 | 62 |
Particulate matter (PM) | Tonnes | 2.35 | 3.58 | 0.13 | 62 |
Sulphur oxides (SOx) | Tonnes | 0.000469 | 0.000446 | 0.000664 | 62 |
Tin and its compounds | Tonnes | 0.00061 | 0.00243 | 0.00127 | 62 |
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 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Direct emissions from stationary and mobile combustion of fossil fuels (Scope 1) | tCO2e | 8766 | 51 | |||
Emission intensity (scope I, II) | tCO2e per ten thousand RMB revenue | 0.29 | 0.31 | 0.27 | 63 | |
Emissions intensity (scope I, II and III) | tCO2e per ten thousand RMB revenue | 2.44 | 63 | |||
GHG emission intensity | tCO2e per thousand RMB revenue | 0.33 | 51 | |||
Indirect emissions from purchased energy, heat or steam (Scope 2) | tCO2e | 723820 | 51 | |||
Other indirect emissions with identified major categories (Scope 3) | tCO2e | 5944030 | 51 | |||
Proportion of GHG emissions from indirect emissions (Scope 2) | % | 99 | 51 | |||
Scope 2 greenhouse gas emissions reduction at group level compared to 2023 baseline | percent | 10 | 8 | |||
Scope I GHG emissions | tCO2e | 5001 | 5292 | 8766 | 63 | |
Scope II GHG emissions | tCO2e | 593340 | 635720 | 723820 | 63 | |
Scope III GHG emissions | tCO2e | 5944030 | 63 | |||
Total GHG emission | tCO2e | 598341 | 641012 | 6676616 | 63 | |
Total GHG emissions | tCO2e | 6676616 | 51 |
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 | Tonnes | 12012 | 11598 | 14316 | 62 |
Hazardous waste intensity | Tonnes per million RMB revenue | 0.58 | 0.57 | 0.52 | 62 |
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 | Tonnes | 14156 | 12663 | 16163 | 62 |
Non-hazardous waste intensity | Tonnes per million RMB revenue | 0.69 | 0.62 | 0.59 | 62 |
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 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Czech facility cooling system average monthly energy usage | kWh | 12500 | 53 | |||
Direct energy consumption - diesel | kg | 120152 | 51 | |||
Direct energy consumption - fuel gas, diesel and petrol | m³ | 3516403 | 51 | |||
Direct energy consumption - petrol | kg | 2182.61 | 51 | |||
Electricity (Indirect Consumption) | kWh | 1002915220 | 1071537597 | 1215093182 | 62 | |
Energy consumption intensity | GJ per million RMB revenue, kWh per million RMB revenue | 60 | 51 | |||
Group factories with solar panels installed | percent | 60 | 8 | |||
Indirect energy consumption - electricity | kWh | 1215093181 | 51 | |||
Natural gas (Direct Consumption) | m³ | 1934147 | 2088562 | 3516403 | 62 | |
Petrol and diesel (Direct Consumption) | Kg | 239835 | 222935 | 438394 | 62 | |
Self-generated solar energy | kWh | 20011950 | 33360441 | 34483225 | 53, 62 | |
Steam (Indirect Consumption) | GJ | 345608 | 62 | |||
Total Solar Power Generated | kWh | 34483225 | 53 | |||
Total energy consumption | GJ, kWh | 3699200 | 3951489 | 1354407.084 | 51, 62 | |
Total energy intensity | GJ per million RMB revenue | 179 | 194 | 178 | 62 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Wastewater discharge | Tonnes | 8706666 | 8149208 | 10209987 | 62 |
Water consumption | Tonnes | 10964065 | 11598835 | 13882444 | 62 |
Water intensity | Tonnes per million RMB revenue | 532 | 568 | 508 | 62 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Czech facility cooling system energy consumption reduction compared to previous year | % | -15 | 53 |
Czech facility production output increase | % | 10 | 53 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Blister boxes usage | Pcs | 60263931 | 44828584 | 69424990 | 63 |
Bubble wrap usage (Meter) | Meter | 6500 | 8300 | 63 | |
Bubble wrap usage (Pcs, Changzhou only) | Pcs | 11420 | 3537339 | 1101203 | 63 |
Carrier disc usage | Pcs | 398874 | 374331 | 415545 | 63 |
Carrier tape usage | Meter | 13468.289 | 10992.554 | 9583.39 | 63 |
Carton usage | Pcs | 4397577 | 2197900 | 2053786 | 63 |
Label usage | Pcs, Rolls | 12166 | 474950 | 311582 | 63 |
Packing belt usage | Rolls | 664 | 74 | 98 | 63 |
Sealing paper usage | Rolls, Square meter | 789642 | 286454 | 386454 | 63 |
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 Protection Expenditure | RMB'000 | 67860 | 79405 | 72703 | 62 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Board Diversity by Age - 31-50 | % | 17 | 61 | |||
Board Diversity by Age - >50 | % | 83 | 100 | 100 | 61 | |
Board Diversity by Gender - Female | % | 17 | 17 | 17 | 61 | |
Board Diversity by Gender - Male | % | 83 | 83 | 83 | 61 | |
Employees aged 31-50 | Number | 15583 | 17774 | 21496 | 60 | |
Employees aged <30 | Number | 11865 | 11781 | 14983 | 60 | |
Employees aged >50 | Number | 350 | 367 | 794 | 60 | |
Employees entitled to Parental Leave - Female | Number | 740 | 1040 | 389 | 61 | |
Employees entitled to Parental Leave - Male | Number | 647 | 587 | 585 | 61 | |
Employees in Belgium | Number | 314 | 60 | |||
Employees in Changzhou | Number | 13416 | 13437 | 15155 | 60 | |
Employees in Kunshan | Number | 1059 | 1684 | 60 | ||
Employees in Maanshan | Number | 386 | 505 | 60 | ||
Employees in Nanning | Number | 3672 | 5144 | 5474 | 60 | |
Employees in Overseas and other areas | Number | 1427 | 1067 | 4652 | 60 | |
Employees in Shenzhen | Number | 1391 | 1262 | 1438 | 60 | |
Employees in Shuyang | Number | 2982 | 2960 | 3177 | 60 | |
Employees in Singapore | Number | 99 | 60 | |||
Employees in Suzhou | Number | 1443 | 262 | 166 | 60 | |
Employees in Vietnam | Number | 3467 | 3959 | 4104 | 60 | |
Employees in Yangzhou | Number | 1217 | 505 | 60 | ||
Employees that took Parental Leave - Female | Number | 574 | 967 | 338 | 61 | |
Employees that took Parental Leave - Male | Number | 638 | 570 | 582 | 61 | |
Employees with degree or above | Number | 15321 | 15426 | 8775 | 60 | |
Employees with high school or below | Number | 12477 | 14496 | 28498 | 60 | |
Female employees | Number | 10630 | 10748 | 13839 | 60 | |
Full-time employees | Number | 27798 | 29922 | 37273 | 60 | |
Male employees | Number | 17168 | 19174 | 23434 | 60 | |
Male to female ratio | 63:37 | 7 | ||||
Management employees | Number | 2185 | 2180 | 2820 | 60 | |
Mechanic and operator employees | Number | 21753 | 23781 | 29948 | 60 | |
Proportion of women in management positions (CEO-2) | percent | 25 | 8 | |||
R & D and Technician employees | Number | 3880 | 3961 | 4505 | 60 | |
Total employees | Number | 27798 | 29922 | 37273 | 60 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Employees Retention Rate - Female | % | 36.5 | 39.9 | 47.64 | 61 |
Employees Retention Rate - Male | % | 60.3 | 77 | 52.06 | 61 |
Employees Return to Work Rate - Female | % | 92.1 | 81 | 90.08 | 61 |
Employees Return to Work Rate - Male | % | 98.1 | 97.7 | 100 | 61 |
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 |
---|---|---|---|---|---|
Total Work-related Accidents | Number | 85 | 85 | 109 | 61 |
Type A – Slight injury | Number | 30 | 27 | 38 | 61 |
Type B – Minor injury | Number | 54 | 57 | 71 | 61 |
Type D – Fatalities | Number | 1 | 119 | 61 | |
Work-related injuries per 1000 workers | % | 2.53 | 3.09 | 3.27 | 7, 61 |
Lost days due to work injury.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Lost days due to work-related injury | Days | 2903 | 4519 | 7528 | 61 |
Lost time injury frequency rate (LTIFR) | % (Per million hours worked) | 1.26 | 1 | 1.05 | 61 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Fire hazard | Number | 1 | 61 | ||
Investment in Safe Production | RMB'000 | 53404 | 55421 | 62430 | 61 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Female employees training participation | % | 38 | 36 | 37 | 60 |
Male employees training participation | % | 62 | 64 | 63 | 60 |
Training on Occupational Safety and Health - Percentage of workers trained | % | 100 | 100 | 100 | 61 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | 2023 | 2024 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Average annual training time per employee (including white-collar and blue-collar workers) | hours | 35 | 8 | |||
Average training hours per employee | Hours, hours | 14 | 13.3 | 14.48 | 7, 60 | |
Training on Occupational Safety and Health - Total person-times training | Number | 104651 | 73423 | 98601 | 61 | |
Training on Occupational Safety and Health - Total training hours | Hours | 213023 | 171324 | 312670 | 61 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Number of new suppliers | Number | 590 | 1240 | 62 | |
Number of suppliers Overseas | Number | 17 | 18 | 218 | 62 |
Number of suppliers in Mainland China and Hong Kong | Number | 489 | 572 | 3327 | 62 |
Total number of suppliers | Number | 506 | 2305 | 3545 | 62 |
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 | 2030 | Report Pages |
---|---|---|---|
Factories RBA audited (SAQ/VAP) by 2030 or earlier | percent | 60 | 8 |
Factories to receive RBA certificate-Silver by 2030 or earlier | factories | 8 | 8 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of new suppliers screened using environmental criteria | Number | 86 | 1240 | 62 |
Number of new suppliers screened using social criteria | Number | 86 | 1240 | 62 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
Donation | RMB'000 | 1480 | 1130 | 1050 | 62 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | Tonnes | 2.35 | 3.58 | 0.13 |
NOâ‚“ Emissions | Tonnes | 30.23 | 1.41 | 1.65 |
SOâ‚“ Emissions | Tonnes | 0.000469 | 0.000446 | 0.000664 |
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) | tCO2e | 5001 | 5292 | 8766 |
Indirect Energy Emissions (Scope 2) | tCO2e | 593340 | 635720 | 723820 |
Total GHG Emissions | tCO2e | 598341 | 641012 | 6676616 |
Total GHG Emissions Intensity (By Revenue) | tCO2e per thousand RMB revenue | 0.29 | 0.31 | 2.44 |
Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 5944030 |
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 | 12012 | 11598 | 14316 |
Total Hazardous Waste Intensity (By Revenue) | Tonnes per million RMB revenue | 0.58 | 0.57 | 0.52 |
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 |
---|---|---|---|---|
Total Non-Hazardous Waste Intensity (By Revenue) | Tonnes per million RMB revenue | 0.69 | 0.62 | 0.59 |
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 | 2030 |
---|---|---|---|---|---|
Diesel Fuel Consumption | Kg | 239835 | 222935 | 120152 | |
Energy Consumption Intensity (By Revenue) | GJ per million RMB revenue | 217 | |||
Natural Gas Consumption | m³ | 1934147 | 2088562 | 3516403 | |
Percentage of Renewable Energy Consumption | percent | 60 | |||
Purchased Cooling | kWh | 12500 | |||
Purchased Electricity | kWh | 1215093181 | |||
Purchased Steam | GJ | 345608 | |||
Renewable Energy Consumption | million kWh | 34.4 | |||
Solar Energy | kWh | 20011950 | 33360441 | 34483225 | |
Total Direct Energy Consumption | m³ | 3516403 | |||
Total Electricity Consumption Intensity (By Revenue) | kWh per million RMB revenue | 60 | |||
Total Energy Consumption | kWh | 3699200 | 3951489 | 4875866 | |
Total Energy Intensity (By Revenue) | GJ per million RMB revenue | 179 | 194 | 178 | |
Total Indirect Energy Consumption | kWh | 1002915220 | 1071537597 | 1215093181 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Total Wastewater Discharge | Tonnes | 8706666 | 8149208 | 10209987 |
Water Consumption | Tonnes | 10964065 | 11598835 | 13882444 |
Water Consumption Intensity (By Revenue) | Tonnes per million RMB revenue | 532 | 568 | 508 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % | -15 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Packaging Materials Consumed | Meter | 789642 | 77033 | 219756 |
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 | RMB'000 | 67860 | 79405 | 72703 |
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 | Number | 15583 | 17774 | 21496 |
Number of Employees Aged Above 50 | Number | 350 | 367 | 794 |
Number of Employees Aged Below 30 | Number | 11865 | 11781 | 14983 |
Number of Employees in Belgium | Number | 314 | ||
Number of Employees in Singapore | Number | 99 | ||
Number of Employees in Vietnam | Number | 3467 | 3959 | 4104 |
Number of Female Employees | Number | 10630 | 10748 | 13839 |
Number of Full-time Employees | Number | 27798 | 29922 | 37273 |
Number of Male Employees | Number | 17168 | 19174 | 23434 |
Number of Total Employees | Number | 27798 | 29922 | 37273 |
Percentage of Employees Aged 30-50 | % | 56.08 | 59.42 | 57.7 |
Percentage of Employees Aged Above 50 | % | 1.26 | 1.23 | 2.13 |
Percentage of Employees Aged Below 30 | % | 42.7 | 39.39 | 40.21 |
Percentage of Female Employees | % | 38.25 | 35.92 | 37.11 |
Percentage of Full-time Employees | % | 100 | 100 | 100 |
Percentage of Male Employees | % | 61.75 | 64.08 | 62.89 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit |
---|---|
Turnover Rate of Employees Aged 30-50 | % |
Turnover Rate of Employees Aged Above 50 | % |
Turnover Rate of Employees Aged Below 30 | % |
Turnover Rate of Employees in Singapore | % |
Turnover Rate of Employees in Vietnam | % |
Turnover Rate of Female Employees | % |
Turnover Rate of Male Employees | % |
Turnover Rate of Total Employees | % |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | Number | 1 | 119 | |
Number of Fatalities of the Last 3 Years | Number | 120 | 120 | 119 |
Number of Work-related Fatalities | Number | 1 | 119 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | Days | 2903 | 4519 | 7528 |
Lost Time Injury Frequency Rate (LTIFR/LTIR) | % (Per million hours worked) | 1.26 | 1 | 1.05 |
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'000 | 53404 | 55421 | 62430 |
Total Hours of Safety Training for Employees | hours |
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 | % | 100 | 100 | 100 |
Percentage of Trained Female Employees | % | 38 | 36 | 37 |
Percentage of Trained Male Employees | % | 62 | 64 | 63 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 | 2023 | 2024 | 2030 |
---|---|---|---|---|---|
Average Training Hours per Employee | Hours | 14 | 13.3 | 15 | 35 |
Total Training Hours | Hours | 213023 | 171324 | 312670 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Number of Suppliers in Overseas | Number | 17 | 18 | 218 |
Number of Total Suppliers | Number | 506 | 2305 | 3545 |
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 | 2030 |
---|---|---|
Percentage of Critical Suppliers Covered by CSR Audit | percent | 60 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Number of Suppliers Participated in Sustainability Risk Assessment | Number | 86 | 1240 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit |
---|---|
Accumulative Number of Patent Applications | |
Number of Invention Patents | % |
Number of Patents Applied | |
Number of Patents Held |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2022 | 2023 | 2024 |
---|---|---|---|---|
Total Public Welfare Donations | RMB'000 | 1480 | 1130 | 1050 |