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 |
|---|---|---|---|---|---|
| Ammonia nitrogen | Tonne | 25 | 37 | 27 | 28 |
| COD (Chemical Oxygen Demand) | Tonne | 277 | 321 | 378 | 28 |
| NOx emissions | Tonne | 53 | 35 | 37 | 29 |
| Particulate matter emissions | Tonne | 21 | 29 | ||
| SOx emissions | Tonne | 5.7 | 12 | 12 | 29 |
| VOC emissions | Tonne | 47 | 51 | 29 |
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 |
|---|---|---|---|---|---|
| Scope 1 & 2 GHG emissions per RMB 10000 of output value | Tonnes of CO2 equivalent (tCO2e) RMB10000, Tonnes of CO₂ equivalent (tCO₂e)/RMB 10000 | 0.24 | 0.22 | 0.21 | 89, 90 |
| Scope 1 GHG emissions | Tonnes of CO2 equivalent (tCO2e), Tonnes of CO₂ equivalent (tCO₂e) | 57364 | 71571 | 74873 | 89, 90 |
| Scope 2 GHG emissions | Tonnes of CO2 equivalent (tCO2e), Tonnes of CO₂ equivalent (tCO₂e) | 363632 | 387130 | 405462 | 89, 90 |
| Total scope 1 & 2 emissions | Tonnes of CO2 equivalent (tCO2e) | 420996 | 458701 | 480335 | 90 |
| Total scope 1&2 GHG emissions | Tonnes of CO₂ equivalent (tCO₂e) | 420996 | 458701 | 480335 | 89 |
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 | Tonne | 14752 | 15576 | 14269 | 30 |
| Hazardous waste per RMB10000 of output value | kg/RMB10000 | 8.52 | 7.59 | 6.16 | 30 |
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 | 2027 | Report Pages |
|---|---|---|---|---|---|---|
| Non-hazardous waste | Tonne | 43039 | 57400 | 52653 | 30 | |
| Non-hazardous waste per RMB10000 of output value | kg/RMB10000 | 24.87 | 27.97 | 22.75 | 30 | |
| Recyclable waste | Tonne | / | 12729 | 37096 | 30 | |
| Target recycling ratio for green aluminum materials | % | 75 | 39 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2030 | Report Pages |
|---|---|---|---|---|
| Proportion of carbon reduction in low-line expanded resin product | % | 24 | 40 | |
| Target cumulative investment in clean tech fields by 2030 | million RMB | 3000 | 39 | |
| Total carbon dioxide equivalent emissions reduction | tCO₂e | 16491.22 | 23 |
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 | Tonnes of standard coal | 118962 | 132744 | 148556 | 90 |
| Comprehensive energy per RMB10000 of output value | kg standard coal/RMB10000 | 68.74 | 64.68 | 64.18 | 90 |
| Diesel oil | Tonne | 159 | 143 | 220 | 90 |
| Direct energy consumption | Tonnes of standard coal | 34755 | 35117 | 38389 | 90 |
| Facilities Renovation - Electricity saved | 10000 kWh | 364.23 | 23 | ||
| Facilities Renovation - Natural gas saved | 10000 m³ | 5.27 | 23 | ||
| Gasoline | Tonne | 70 | 108 | 189 | 90 |
| Indirect energy consumption | Tonnes of standard coal | 84207 | 97628 | 110167 | 90 |
| Natural gas | Ten thousand m³ | 2588 | 2527 | 2841 | 90 |
| Purchased electricity | Ten thousand kWh | 65543 | 63620 | 66557 | 90 |
| Purchased green electricity | Ten thousand kWh | 3280 | 90 | ||
| Purchased non-green electricity | Ten thousand kWh | 63277 | 90 | ||
| Purchased steam | Tonne | 151154 | 152364 | 90 | |
| Self-built distributed photovoltaic power consumption | Ten thousand kWh | 7140 | 90 | ||
| Self-built distributed photovoltaic power generation | Ten thousand kWh | 2974 | 5658 | 8263 | 90 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Decrease in daily water consumption at Minth Thailand | tons per day | 600 | 27 | ||
| Reduction in concentrated water discharge at Tianjin Minshin | Tonne | 4500 | 28 | ||
| Reduction in monthly total water consumption at Minth Thailand | 40% | 27 | |||
| Total water consumption | Tonne | 3336227 | 2761520 | 1744496 | 28, 90 |
| Total water withdraw | Tonne | 5979876 | 5758449 | 5721416 | 90 |
| Total water withdrawal | Tonne | 5979876 | 5758449 | 5721416 | 28 |
| Wastewater discharge | Tonne | 2643649 | 2996929 | 3976920 | 28 |
| Water consumption per RMB10000 of output value | Tonne/RMB10000 | 1.93 | 1.35 | 0.75 | 28 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Air compressor renovation - Electricity saved | 10000 kWh | 448.08 | 23 |
| Energy consumption reduction from advanced molding and injection processes | % | 40 | 39 |
| Inverter renovation - Electricity saved | 10000 kWh | 410.19 | 23 |
| Jiaxing Minhui - Annual natural gas saved by new boilers | m³/year | 418000 | 23 |
| Optimization of scheduling management - Electricity saved | 10000 kWh | 723.32 | 23 |
| Process optimization - Electricity saved | 10000 kWh | 764.16 | 23 |
| Process optimization - Natural gas saved | 10000 m³ | 5.37 | 23 |
| Total electricity saved | 10000 kWh | 2741.15 | 23 |
| Total natural gas saved | 10000 m³ | 17.58 | 23 |
| UATE Energy Saving Reform of Extrusion Die - Monthly electricity saved | kWh/month | 6000 | 23 |
| UATE Energy Saving Reform of Extrusion Die - Monthly natural gas saved | m³/month | 300 | 23 |
| Utilization of surplus energy - Electricity saved | 10000 kWh | 31.17 | 23 |
| Utilization of surplus energy - Natural gas saved | 10000 m³ | 6.95 | 23 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Wastewater reuse | Tonne | 232911 | 296436 | 367074 | 28 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Packaging material consumption | Tonne | 19777 | 30058 | 35142 | 33 | |
| Packaging material consumption per RMB 10000 of output value | kg/RMB 10000 | 11.43 | 14.65 | 15.18 | 33 | |
| Proportion of recycled material used in low-line expanded resin product | % | 30 | 40 | |||
| Proportion of turnover material used | % | 21.11 | 33 | |||
| Recycled content in PC+ABS (polycarbonate + acrylonitrile butadiene styrene) materials | % | 30 | 39 | |||
| Reduction in global printing paper usage due to online HR management system | sheets | 213000 | 62 | |||
| Turnover packaging materials | Tonne | 7418 | 33 | |||
| Weight reduction in battery housing and structural component products by use of ultra-high-strength aluminum materials | % | 30 | 39 | |||
| Weight reduction in body panel product solutions by application of bio-based materials and recycled plastics | % | 40 | 39 |
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 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Investment in clean technology opportunities | RMB10000 | / | / | 63477.82 | 95 | |
| Target for research and development of recycled green aluminum materials technology | % | 50 | 39 | |||
| Target use of green aluminum in products | % | 100 | 39 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | reporting period | Report Pages |
|---|---|---|---|---|---|---|
| Employees 29 years old and younger | Number | 7430 | 5489 | 6940 | 92 | |
| Employees 30 years old and above but less than 40 years old | Number | 11704 | 11847 | 11693 | 92 | |
| Employees 40 years old and above but less than 50 years old | Number | 2033 | 4172 | 5735 | 92 | |
| Employees 50 years old and above | Number | 158 | 803 | 1295 | 92 | |
| Employees aged 29 years old and younger | %, Number | 6940 | 59, 60 | |||
| Employees aged 30 years old and above but less than 40 years old | %, Number | 11693 | 59, 60 | |||
| Employees aged 40 years old and above but less than 50 years old | %, Number | 5735 | 59, 60 | |||
| Employees aged 50 years old and above | %, Number | 7.43 | 59, 60 | |||
| Employees in Asia (China, Thailand, Japan, South Korea) | Number | 17073 | 17428 | 59, 92 | ||
| Employees in Europe (Germany, United Kingdom, Serbia, Czech Republic, France, Poland) | Number | 2853 | 4588 | 59, 92 | ||
| Employees in North America (United States, Mexico, Canada) | Number | 2385 | 3647 | 59, 92 | ||
| Female employees | %, Number | 6043 | 7184 | 7700 | 59, 60, 92 | |
| Full-time employees | Number | 25663 | 59, 92 | |||
| Male employees | %, Number | 15277 | 15127 | 17963 | 59, 60, 92 | |
| Management employees | Number | 1246 | 1116 | 1175 | 59, 92 | |
| Number of Board members | 8 | 16 | ||||
| Number of Board members from 3 or more countries/regions | 8 | 16 | ||||
| Number of domestic and international interns recruited through campus recruitment and university-enterprise collaboration programs | interns | 312 | 61 | |||
| Number of female Board members | 4 | 16 | ||||
| Number of new management trainees assigned to key overseas positions | persons | 4 | 70 | |||
| Percentage of female Board members | % | 50 | 16 | |||
| Production employees | Number | 13044 | 14011 | 16040 | 59, 92 | |
| Professional employees | Number | 2826 | 3012 | 3350 | 59, 92 | |
| Technical employees | Number | 4215 | 4172 | 5098 | 59, 92 | |
| Total number of employees | Number | 21331 | 22311 | 25663 | 59, 92 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Probation pass rate for new hires | improved significantly | 70 | |||
| Total turnover rate | % | 35.2 | 30 | 28.6 | 60, 93 |
| Turnover rate - 29 years old and younger | % | 17.86 | 38 | 37.79 | 93 |
| Turnover rate - 30 years old and above but less than 40 years old | % | 15.65 | 28 | 28.8 | 93 |
| Turnover rate - 40 years old and above but less than 50 years old | % | 1.6 | 25 | 17.7 | 93 |
| Turnover rate - 50 years old and above | % | 0.06 | 17 | 7.43 | 93 |
| Turnover rate - Asia (China, Thailand, Japan, South Korea) | % | / | 29 | 26.49 | 93 |
| Turnover rate - Europe (Germany, UK, Serbia, Czech Republic, France, Poland) | % | / | 24 | 21.53 | 93 |
| Turnover rate - Female employees | % | 32.8 | 27 | 28.6 | 93 |
| Turnover rate - Male employees | % | 36.2 | 31 | 28.6 | 93 |
| Turnover rate - North America (United States, Mexico, Canada) | % | / | 37 | 42.93 | 93 |
| Turnover rate in Asia (China, Thailand, Japan, South Korea) | % | 26.49 | 60 | ||
| Turnover rate in Europe (Germany, UK, Serbia, Czech Republic, France, Poland) | % | 21.53 | 60 | ||
| Turnover rate in North America (United States, Mexico, Canada) | % | 42.93 | 60 |
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 injury rate | Number of injury/millions of working hours | 1.08 | 1.04 | 1 | 72, 94 |
| Work-related fatalities | Person | 1 | 1 | 72, 94 | |
| Work-related fatalities rate | % | 0.004 | 0.0039 | 72, 94 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work injury | Days | 62 | 1308.785 | 9381 | 72, 94 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of employees participating in fire emergency drill and training activity at Tianjin Shintai and Tianjin Minshin Factory | employees | 1400 | 73 |
| Number of employees provided with physical and mental health support | employees | 1950 | 67 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of employee couples participating in Couples' Love Camp | employee couples | 47 | 68 | ||
| Number of senior executives participating in three-day leadership communication workshop | persons | 30 | 71 | ||
| Number of sessions of Emotional Intelligence Workshop conducted globally | sessions | 27 | 67 | ||
| Number of sessions of Holistic Wellness Workshop conducted globally | sessions | 59 | 67 | ||
| Number of top-level managers attending Leadership Communication Workshop | managers | 30 | 67 | ||
| Onboarding training satisfaction rate for new hires | percent | exceeded 95% | 70 | ||
| R&D expenditure | RMB10000 | 117239.4 | 139662.2 | 144944.4 | 95 |
| Trained Employee Ratio - Female employees | % | 32 | 31 | 30 | 94 |
| Trained Employee Ratio - Male employees | % | 68 | 69 | 70 | 94 |
| Trained Employee Ratio - Management | % | 6 | 4 | 4.58 | 94 |
| Trained Employee Ratio - Production | % | 62.43 | 68 | 62.5 | 94 |
| Trained Employee Ratio - Professional | % | 12.99 | 12 | 13.05 | 94 |
| Trained Employee Ratio - Technical | % | 18.58 | 16 | 19.87 | 94 |
| Trained employee ratio for female employees | % | 30 | 69 | ||
| Trained employee ratio for male employees | % | 70 | 69 | ||
| Trained employee ratio for management employees | % | 4.58 | 69 | ||
| Trained employee ratio for production employees | % | 62.5 | 69 | ||
| Trained employee ratio for professional employees | % | 13.05 | 69 | ||
| Trained employee ratio for technical employees | % | 19.87 | 69 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours - Female employees | Hours per employees | 2 | 84.4 | 83.12 | 93 |
| Average training hours - Male employees | Hours per employees | 2 | 85.2 | 86.46 | 93 |
| Average training hours - Management | Hours per employees | 8 | 105.7 | 110.81 | 93 |
| Average training hours - Production | Hours per employees | 1 | 104.7 | 99.27 | 93 |
| Average training hours - Professional | Hours per employees | 4 | 68.7 | 86.35 | 93 |
| Average training hours - Technical | Hours per employees | 2 | 24.9 | 35.63 | 93 |
| Average training hours for female employees | Hours per employees | 83.12 | 69 | ||
| Average training hours for male employees | Hours per employees | 86.46 | 69 | ||
| Average training hours for management employees | Hours per employees | 110.81 | 69 | ||
| Average training hours for production employees | Hours per employees | 99.27 | 69 | ||
| Average training hours for professional employees | Hours per employees | 86.35 | 69 | ||
| Average training hours for technical employees | Hours per employees | 35.63 | 69 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Asia & Mid East suppliers (China, Thailand, Japan, South Korea, India, United Arab Emirates, Israel) | Number | 4864 | 3485 | 94 |
| Europe suppliers (Serbia, Czech Republic, Germany, France, Italy, United Kingdom, Switzerland, Austria, Poland, Montenegro, Spain, Turkey, Netherlands, Romania, Slovenia, Slovakia, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia) | Number | 533 | 332 | 94 |
| North America suppliers (United States, Mexico, Canada) | Number | 178 | 295 | 94 |
| Number of non-production-related goods suppliers comprising supply chain | 138 | 54 | ||
| Number of production-related materials suppliers comprising supply chain | 36 | 54 | ||
| Number of suppliers in Asia & Mid East (China, Thailand, Japan, South Korea, India, United Arab Emirates, Israel) | Number | 3485 | 53 | |
| Number of suppliers in Europe (Serbia, Czech Republic, Germany, France, Italy, United Kingdom, Switzerland, Austria, Poland, Montenegro, Spain, Turkey, Netherlands, Romania, Slovenia, Slovakia, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia) | Number | 332 | 53 | |
| Number of suppliers in North America (United States, Mexico, Canada) | Number | 295 | 53 | |
| Number of suppliers in Oceania (Australia) | Number | 1 | 53 | |
| Oceania suppliers (Australia) | Number | 1 | 1 | 94 |
| Total number of suppliers | Number | 5576 | 4113 | 53, 94 |
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 |
|---|---|---|---|---|---|
| Implementation rate of audit program for Tier 2 suppliers | 100% | 54 | |||
| Number of Tier A suppliers audited | 43 | 54 | |||
| Number of Tier B suppliers audited | 29 | 54 | |||
| Number of Tier C suppliers audited | 1 | 54 | |||
| Number of on-site reviews conducted by SQE team | 485 | 54 | |||
| Number of suppliers audited by SQE team | 211 | 54 | |||
| Number of suppliers who have passed ISO 14001 Environmental Management System Certification | Number | 699 | / | 796 | 53, 95 |
| Proportion of core suppliers undergoing annual review | %, Proportion of suppliers | / | / | 100 | 53, 95 |
| Rectification rate for supplier audits | 100% | 54 |
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 core suppliers undergoing annual review | Number | 211 | 53, 94 |
| Number of suppliers eliminated from supply chain structure | 174 | 54 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Accumulated patents applied | Number | 4282 | 4775 | 5166 | 95 |
| Accumulated patents authorized | Number | 1803 | 2209 | 2624 | 95 |
| Accumulated patents searched and analysed | Number | 704 | 795 | 907 | 95 |
| New patents applied | Number | 635 | 530 | 449 | 95 |
| New patents authorized | Number | 592 | 412 | 400 | 95 |
| New patents searched and analysed | Number | / | 91 | 112 | 95 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of new parts developed | 3800 | 54 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of employees who signed the integrity agreement | Number | 21331 | 22311 | 25663 | 95 |
| Number of items in 2024 semi-annual risk identification and evaluation list | items | 468 | 17 | ||
| Supplier integrity agreement signing rate | 100% | 53 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Board of directors who received anti-corruption training | Number | 6 | 9 | 8 | 95 |
| Other employees (excluding directors) who received anti-corruption training | Number | 21325 | 22302 | 25655 | 95 |
| Percentage of employees who received anti-corruption training | % | 100 | 100 | 100 | 95 |
| Total duration of anti-corruption training programs conducted | Hours | / | / | 1450 | 95 |
| Total number of anti-corruption training sessions conducted | Number | / | / | 145 | 95 |
| Total number of employees who have received anti-corruption training | Number | 21331 | 22311 | 25663 | 95 |
| Total number of participants in anti-corruption training programs | Number | / | / | 27182 | 95 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Donation to support Gansu Earthquake Relief and Post-disaster Reconstruction | RMB | 1000000 | 75 |
| Number of individuals offered personalized care services | individuals | 1000 | 67 |
| Number of outstanding students hired from Minth Poland Factory internship program | students | 10 | 61 |
| Number of sessions of Couples' Love Camp held in Jiaxing and Ningbo, China, and Serbia, Europe | sessions | 3 | 68 |
| Number of students from Poland and other European countries participating in Minth Poland Factory internship program | students | 100 | 61 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Increase in Minth Group's expenditure on public welfare activities compared to previous year | % | 53 | 75 |
| Minth Group's expenditure on public welfare activities | RMB | 4860476 | 75 |
| Number of couples participated in Couples' Love Camp program | couples | 650 | 68 |
| Number of employees and their families benefiting from family care programs | employees and families | 1200 | 67 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tonne | 21 | ||
| NOₓ Emissions | Tonne | 53 | 35 | 37 |
| SOₓ Emissions | Tonne | 5.7 | 12 | 12 |
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) | Tonnes of CO2 equivalent (tCO2e) | 57364 | 71571 | 74873 |
| Indirect Energy Emissions (Scope 2) | Tonnes of CO2 equivalent (tCO2e) | 363632 | 387130 | 405462 |
| Total GHG Emissions | Tonnes of CO2 equivalent (tCO2e) | 420996 | 458701 | 480335 |
| Total GHG Emissions Intensity (By Revenue) | Tonnes of CO2 equivalent (tCO2e)/RMB 10000 | 0.24 | 0.22 | 0.21 |
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 | Tonne | 14752 | 15576 | 14269 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | Tonne | 43039 | 57400 | 52653 |
| Non-Hazardous Waste Recycled | Tonne | 12729 | 37096 | |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg/RMB10000 | 24.87 | 27.97 | 22.75 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tCO₂e | 16491.22 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Hazardous Waste Intensity Reduction Compared to Last Year | tons annually |
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 |
|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | kg standard coal/RMB10000 | 68.74 | 64.68 | 64.18 |
| Diesel Fuel Consumption | Tonne | 159 | 143 | 220 |
| Gasoline Consumption | Tonne | 70 | 108 | 189 |
| Natural Gas Consumption | Ten thousand m³ | 2588 | 2527 | 2841 |
| Purchased Electricity | Ten thousand kWh | 65543 | 63620 | 3280 |
| Purchased Steam | Tonne | 151154 | 152364 | |
| Solar Energy | Ten thousand kWh | 2974 | 5658 | 7140 |
| Total Direct Energy Consumption | Tonnes of standard coal | 34755 | 35117 | 38389 |
| Total Energy Consumption | Tonnes of standard coal | 118962 | 132744 | 148556 |
| Total Indirect Energy Consumption | Tonnes of standard coal | 84207 | 97628 | 110167 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Wastewater Discharge | Tonne | 2643649 | 2996929 | 3976920 |
| Total Water Withdrawal | Tonne | 5979876 | 5758449 | 5721416 |
| Water Consumption | Tonne | 3336227 | 2761520 | 1744496 |
| Water Consumption Intensity (By Revenue) | Tonne/RMB10000 | 1.93 | 1.35 | 0.75 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 27411500 |
| Energy Consumption Reduction Compared to Last Year | kWh | 175800 |
| Target Energy Consumption Reduction Percentage Compared to Last Year | percent |
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 | 2024 |
|---|---|---|---|
| Wastewater Reduction Compared to Last Year | Tonne | 63525 | 70638 |
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 Material Intensity (By Revenue) | kg/RMB 10000 | 11.43 | 14.65 | 15.18 |
| Packaging Materials Consumed | Tonne | 19777 | 30058 | 35142 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 | reporting period |
|---|---|---|---|---|---|
| Number of Employees Aged 30-50 | Number | 11704 | 16019 | 17428 | |
| Number of Employees Aged Above 50 | Number | 158 | 803 | 1295 | |
| Number of Employees Aged Below 30 | Number | 7430 | 5489 | 6940 | |
| Number of Employees in Asia | Number | 17073 | 17428 | ||
| Number of Employees in Europe | Number | 2853 | 4588 | ||
| Number of Employees in North America | Number | 2385 | 3647 | ||
| Number of Female Employees | Number | 6043 | 7184 | 7700 | |
| Number of Full-time Employees | Number | 25663 | |||
| Number of Interns | interns | 312 | |||
| Number of Male Employees | Number | 15277 | 15127 | 17963 | |
| Number of Total Employees | Number | 21331 | 22311 | 25663 | |
| Percentage of Employees Aged 30-50 | % | 46.5 | |||
| Percentage of Employees Aged Above 50 | % | 7.43 | |||
| Percentage of Employees Aged Below 30 | % | 37.79 | |||
| Percentage of Female Employees | % | 28.6 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 17.25 | 26.5 | 23.25 |
| Turnover Rate of Employees Aged Above 50 | % | 0.06 | 17 | 7.43 |
| Turnover Rate of Employees Aged Below 30 | % | 17.86 | 38 | 37.79 |
| Turnover Rate of Employees in Asia | % | 29 | 26.49 | |
| Turnover Rate of Employees in Europe | % | 24 | 21.53 | |
| Turnover Rate of Employees in North America | % | 37 | 42.93 | |
| Turnover Rate of Female Employees | % | 32.8 | 27 | 28.6 |
| Turnover Rate of Male Employees | % | 36.2 | 31 | 28.6 |
| Turnover Rate of Total Employees | % | 35.2 | 30 | 28.6 |
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 |
|---|---|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | % | 0.004 | 0.0039 | |
| Fatalities Rate of the Last 3 Years | % | 0.001333 | 0.001333 | 0.002633 |
| Number of Fatalities as a Result of Work-related Injuries | Person | 1 | 1 | |
| Number of Fatalities of the Last 3 Years | Person | 1 | 2 | 2 |
| Number of Work-related Fatalities | Person | 1 | 1 | |
| Work-related Fatalities Rate | % | 0.004 | 0.0039 | |
| Work-related Fatalities Rate (By Working Hours) | % | 0.004 | 0.0039 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Days | 62 | 1308.785 | 9381 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of People Receiving Training on Work Safety | employees | 1400 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Trained Female Employees | % | 32 | 31 | 30 |
| Percentage of Trained Male Employees | % | 68 | 69 | 70 |
| Percentage of Trained Management | % | 6 | 4 | 4.58 |
| Percentage of Trained Production Employees | % | 62.43 | 68 | 62.5 |
| Percentage of Trained Professional Employees | % | 12.99 | 12 | 13.05 |
| Percentage of Trained Technical Employees | % | 18.58 | 16 | 19.87 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hours per employees | 2 | 84.4 | 83.12 |
| Average Training Hours (Male) | Hours per employees | 2 | 85.2 | 86.46 |
| Average Training Hours (Management) | Hours per employees | 8 | 105.7 | 110.81 |
| Average Training Hours (Production Employees) | Hours per employees | 1 | 104.7 | 99.27 |
| Average Training Hours (Professional Skills Development) | Hours per employees | 4 | 68.7 | 86.35 |
| Average Training Hours (Technical Employees) | Hours per employees | 2 | 24.9 | 35.63 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Suppliers in Australia | Number | 1 | 1 |
| Number of Suppliers in Europe | Number | 533 | 332 |
| Number of Total Suppliers | Number | 5576 | 4113 |
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 | 2024 |
|---|---|---|---|
| Number of Suppliers Certified to ISO 14001 Environmental Management System | Number | 699 | 796 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit |
|---|---|
| Complaints Handling Rate | % |
| Number of Product Quality Complaints |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Accumulative Number of Patent Applications | Number | 4282 | 4775 | 5166 |
| Accumulative Number of Patents Granted | Number | 1803 | 2209 | 2624 |
| Number of New Patent Applications | Number | 635 | 530 | 449 |
| Number of Patents Granted | Number | 592 | 412 | 400 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Anti-corruption Policies have been Communicated to | % | None | None | None |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 | 100 | 100 |
| Coverage of Anti-corruption Training for Employees | % | 100 | 100 | 100 |
| Number of Anti-corruption Training Session | Number | 145 | ||
| Number of Attendance for Anti-corruption Training | Number | 27182 | ||
| Number of Directors and Management Attendance for Anti-corruption Training | Number | 6 | 9 | 8 |
| Number of General Employees Attendance for Anti-corruption Training | Number | 21325 | 22302 | 25655 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | Number | 21331 | 22311 | 25663 |
| Total Hours of Anti-corruption Training | Hours | 1450 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Public Welfare Donations | RMB | 4860476 |
| Total Social Investment | RMB | 4860476 |