Environmental, Social and Governance Report 2022
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
NOx emissions | kg | 82547.28 | 43 |
Particulate matter (Exhaust gas emission) | kg | 556.51 | 34 |
Particulate matter emission density (Exhaust gas emission) | kg/RMB10000 of revenue | 0.0004 | 34 |
Particulate matter emissions | kg | 556.51 | 43 |
VOCs (Exhaust gas emission) | kg | 441.60 | 34 |
VOCs emission density (Exhaust gas emission) | kg/RMB10000 of revenue | 0.0003 | 34 |
VOCs emissions | kg | 441.60 | 43 |
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 | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Direct greenhouse gas emissions (scope 1) | Ton of carbon dioxide equivalent | 8353.65 | 43 | |
Greenhouse gas emission density | Ton of carbon dioxide equivalent/revenue of RMB ten thousand | 0.0386 | 43 | |
Greenhouse gas emission density (Ton of carbon dioxide equivalent/RMB10000 operating revenue) | Ton of carbon dioxide equivalent/RMB10000 operating revenue | 0.0460 | 0.0396 | 37 |
Indirect greenhouse gas emissions (scope 2) | Ton of carbon dioxide equivalent | 51588.78 | 43 | |
SO2 emissions | kg | 5156.68 | 43 | |
Scope 1 and 2 greenhouse gas emissions | Ton of carbon dioxide equivalent | 46891.17 | 59942.42 | 37, 43 |
Scope 1 greenhouse gas emissions | Ton of carbon dioxide equivalent | 8200.00 | 8353.65 | 37 |
Scope 2 greenhouse gas emissions | Ton of carbon dioxide equivalent | 38691.17 | 51588.78 | 37 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Hazardous waste - Paint slag | Ton | 138 | 190.80 | 35 |
Hazardous waste - Total amount | Ton | 522 | 383.35 | 35 |
Hazardous waste - Waste mineral oil | Ton | 65 | 46.64 | 35 |
Hazardous waste - Waste paint bucket | Ton | 319 | 145.91 | 35 |
Hazardous waste density | Ton/ RMB10000 of revenue | 0.0005 | 0.0002 | 35 |
Hazardous waste discharge density | Ton/revenue of RMB ten thousand | 0.0002 | 43 | |
Iron and steel waste | Ton | 46614.73 | 43 | |
Other industrial waste | Ton | 475.02 | 43 | |
Paint slag | Ton | 190.80 | 43 | |
The total amount of hazardous waste discharged | Ton | 383.35 | 43 | |
Waste mineral oil | Ton | 46.64 | 43 | |
Waste paint bucket | Ton | 145.91 | 43 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Amount of waste paper recycled | kg | 430.94 | 43 | |
Amount of wood recycled | kg | 3261.46 | 43 | |
Domestic waste | Ton | 1668.05 | 43 | |
Non-hazardous waste - Copper and iron waste | Ton | 41008 | 46614.73 | 35 |
Non-hazardous waste - Domestic waste | Ton | 1047 | 1688.05 | 35 |
Non-hazardous waste - Other industrial waste | Ton | 475.02 | 35 | |
Non-hazardous waste - Total amount | Ton | 43270 | 48757.80 | 35 |
Non-hazardous waste density | Ton/ RMB10000 of revenue | 0.04 | 0.03 | 35 |
Non-hazardous waste discharge density | Ton/revenue of RMB ten thousand | 0.03 | 43 | |
Paper consumption | Ton | 24.81 | 34.26 | 37, 44 |
Paper use density | kg/revenue of RMB ten thousand | 0.0221 | 44 | |
Paper use density (kg/RMB10000 of revenue) | kg/RMB10000 of revenue | 0.0243 | 0.021 | 37 |
Reduction in resource use per loader per day (electric wide-body loader) | L | 2000 | 17 | |
Solid waste recycled and disposed (Wastes) | % | 100 | 34 | |
The total amount of non-hazardous waste discharged | Ton | 48757.80 | 43 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2030 | Report Pages |
---|---|---|---|
Emission density of greenhouse gases reduction target (compared with 2020) | % | 25 | 33 |
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 | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Diesel consumption | Liter | 1139535.02 | 44 | |
Diesel consumption (Direct energy consumption) | Liter | 944062 | 1139535.02 | 36 |
Diesel use density | Liter/revenue of RMB ten thousand | 0.73 | 44 | |
Diesel use density (Direct energy consumption) | Liter/RMB10000 of revenue | 0.93 | 0.73 | 36 |
Gasoline consumption | Liter | 16896.60 | 44 | |
Gasoline consumption (Direct energy consumption) | Liter | 94797 | 16896.60 | 36 |
Gasoline use density | Liter/revenue of RMB ten thousand | 0.01 | 44 | |
Gasoline use density (Direct energy consumption) | Liter/RMB10000 of revenue | 0.03 | 0.01 | 36 |
Natural gas consumption | CBM | 2778716.50 | 44 | |
Natural gas consumption (Direct energy consumption) | Cubic meter | 2553025 | 2778716.50 | 36 |
Natural gas use density | CBM/revenue of RMB ten thousand | 1.79 | 44 | |
Natural gas use density (Direct energy consumption) | Cubic meter/RMB10000 of revenue | 2.50 | 1.79 | 36 |
Purchased electric power (Indirect energy consumption) | Kwh | 60059392.79 | 84054983.78 | 36 |
Purchased electricity | kWh | 84054983.78 | 44 | |
Purchased heat supply | GJ | 33020.00 | 44 | |
Purchased heat supply (Direct energy consumption) | GJ | 34520 | 33202 | 36 |
Purchased heat use density (Direct energy consumption) | GJ/RMB10000 of revenue | 0.03 | 0.02 | 36 |
Reduction in operational expenses for electric wide-body loaders compared to fuel-powered loaders | % | 50 | 17 | |
Use density of electric power (Indirect energy consumption) | Kwh/RMB10000 of revenue | 58.91 | 54.10 | 36 |
Use density of purchased electricity | kWh/revenue of RMB ten thousand | 54.10 | 44 | |
Use density of purchased heat supply | GJ/revenue of RMB ten thousand | 0.02 | 44 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Total water consumption | Ton | 665144 | 566529.00 | 37, 44 |
Total water consumption density | Ton/revenue of RMB ten thousand | 0.36 | 44 | |
Water use density (Ton/RMB10000 of revenue) | Ton/RMB10000 of revenue | 0.65 | 0.36 | 37 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 | 2030 | Report Pages |
---|---|---|---|---|
Average oil saving rate of SET150S compared with traditional electric vehicles | % | 12 to 25 | 17 | |
Density of energy consumption (natural gas, heat, electricity, gasoline and diesel) reduction target (compared with 2020) | % | 20 | 33 | |
Recycled energy increase of SKT105E loader battery compared with same type of product | % | 30 | 17 |
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 | 2030 | Report Pages |
---|---|---|---|
Water consumption per RMB 10000 of revenue reduction target (compared with 2020) | % | 15 | 33 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Packaging wood consumption | Ton | 1205.93 | 1158.59 | 37, 44 |
Packaging wood use density | kg/revenue of RMB ten thousand | 0.75 | 44 | |
Packaging wood use density (Ton/RMB10000 of revenue) | Ton/RMB10000 of revenue | 1.27 | 0.75 | 37 |
Steel consumption | Ton | 160773.20 | 237758.99 | 37, 44 |
Steel use density | Ton/revenue of RMB ten thousand | 0.15 | 44 | |
Steel use density (Ton/RMB10000 of revenue) | Ton/RMB10000 of revenue | 0.16 | 0.15 | 37 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Number of employees by age group: 30 and below | Person | 2534 | 44 | |
Number of employees by age group: 31-40 | Person | 3555 | 44 | |
Number of employees by age group: 41-50 | Person | 856 | 44 | |
Number of employees by age group: 50 or above | Person | 132 | 44 | |
Number of employees by employment type: Marketing service | Person | 1174 | 44 | |
Number of employees by function: Manufacturing type | Person | 3463 | 44 | |
Number of employees by function: Operating management | Person | 401 | 44 | |
Number of employees by function: Other types | Person | 492 | 44 | |
Number of employees by function: R&D technology | Person | 1547 | 44 | |
Number of employees by gender: Female | Person | 348 | 44 | |
Number of employees by gender: Male | Person | 6729 | 44 | |
Number of employees by geographical region: China's Mainland | Person | 7074 | 44 | |
Number of employees by geographical region: Hong Kong, Macao, Taiwan and overseas regions | Person | 3 | 44 | |
The employment rate of special operators with certificates - Sany Heavy Equipment | % | 100% | 30 | |
The employment rate of special operators with certificates - Sany Heavy Equipment (Achievement of targets) | % | 100% | 30 | |
The employment rate of special operators with certificates - Sany Heavy Equipment (Goals in 2022) | % | 100% | 30 | |
The employment rate of special operators with certificates - Sany Marine | % | 100% | 30 | |
The employment rate of special operators with certificates - Sany Marine (Achievement of targets) | % | 100% | 30 | |
The employment rate of special operators with certificates - Sany Marine (Goals in 2022) | % | 100% | 30 | |
Total number of employees | Person | 7077 | 44 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Employee turnover by age group: 30 and below | Percentage | 23.3 | 44 |
Employee turnover by age group: 31-40 | Percentage | 26.2 | 44 |
Employee turnover by age group: 41-50 | Percentage | 25.8 | 44 |
Employee turnover by age group: 50 or above | Percentage | 35.6 | 44 |
Employee turnover by gender: Female | Percentage | 23.3 | 44 |
Employee turnover by gender: Male | Percentage | 25.4 | 44 |
Employee turnover by geographical region: China's Mainland | Percentage | 25.3 | 44 |
Employee turnover by geographical region: Hong Kong, Macao, Taiwan and overseas regions | Percentage | 0.0 | 44 |
Total employee turnover | Percentage | 25.3 | 44 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|
Normal fire (Loss ≤ 10000) - Sany Heavy Equipment | ‰ | ≤ 5‰ | 30 | ||
Normal fire (Loss ≤ 10000) - Sany Heavy Equipment (Goals in 2022) | ‰ | ≤ 5‰ | 30 | ||
Percentage of work-related deaths | Percentage | 0.0 | 0.0 | 0.0 | 44 |
Thousand-person injury rate - Sany Heavy Equipment | ‰ | ≤ 5‰ | 30 | ||
Thousand-person injury rate - Sany Heavy Equipment (Goals in 2022) | ‰ | ≤ 5‰ | 30 | ||
Thousand-person injury rate - Sany Marine | ‰ | ≤ 3‰ | 30 | ||
Thousand-person injury rate - Sany Marine (Goals in 2022) | ‰ | ≤ 3‰ | 30 | ||
Thousand-person serious injury rate - Sany Heavy Equipment | ‰ | ≤ 3‰ | 30 | ||
Thousand-person serious injury rate - Sany Heavy Equipment (Goals in 2022) | ‰ | ≤ 3‰ | 30 | ||
Thousand-person serious injury rate - Sany Marine | ‰ | ≤ 3‰ | 30 | ||
Thousand-person serious injury rate - Sany Marine (Goals in 2022) | ‰ | ≤ 3‰ | 30 |
Lost days due to work injury.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Total number of days lost due to work-related injury | Day | 3561 | 45 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Effective use and scheduled verification rate of special equipment - Sany Heavy Equipment | % | 100% | 30 | |
Effective use and scheduled verification rate of special equipment - Sany Heavy Equipment (Achievement of targets) | % | 100% | 30 | |
Effective use and scheduled verification rate of special equipment - Sany Heavy Equipment (Goals in 2022) | % | 100% | 30 | |
Effective use and scheduled verification rate of special equipment - Sany Marine | % | 100% | 30 | |
Effective use and scheduled verification rate of special equipment - Sany Marine (Achievement of targets) | % | 100% | 30 | |
Effective use and scheduled verification rate of special equipment - Sany Marine (Goals in 2022) | % | 100% | 30 | |
Proportion of employees receiving safety training - Sany Heavy Equipment | % | 100% | 30 | |
Proportion of employees receiving safety training - Sany Heavy Equipment (Achievement of targets) | % | 100% | 30 | |
Proportion of employees receiving safety training - Sany Heavy Equipment (Goals in 2022) | % | 100% | 30 | |
Proportion of employees receiving safety training - Sany Marine | % | 100% | 30 | |
Proportion of employees receiving safety training - Sany Marine (Achievement of targets) | % | 100% | 30 | |
Proportion of employees receiving safety training - Sany Marine (Goals in 2022) | % | 100% | 30 | |
The wearing rate and correct use rate of labour protection equipment for employees working on site - Sany Heavy Equipment | % | 100% | 30 | |
The wearing rate and correct use rate of labour protection equipment for employees working on site - Sany Heavy Equipment (Achievement of targets) | % | 100% | 30 | |
The wearing rate and correct use rate of labour protection equipment for employees working on site - Sany Heavy Equipment (Goals in 2022) | % | 100% | 30 | |
The wearing rate and correct use rate of labour protection equipment for employees working on site - Sany Marine | % | 100% | 30 | |
The wearing rate and correct use rate of labour protection equipment for employees working on site - Sany Marine (Achievement of targets) | % | 100% | 30 | |
The wearing rate and correct use rate of labour protection equipment for employees working on site - Sany Marine (Goals in 2022) | % | 100% | 30 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2025 | Report Pages |
---|---|---|---|---|
Annual investment in clean technology research and development | million RMB | 290 | 17 | |
Percentage of trained employees by employee category: Manufacturing type | Percentage | 23.6 | 45 | |
Percentage of trained employees by employee category: Marketing service | Percentage | 21.0 | 45 | |
Percentage of trained employees by employee category: Operating management | Percentage | 13.9 | 45 | |
Percentage of trained employees by employee category: Other type | Percentage | 10.3 | 45 | |
Percentage of trained employees by employee category: R&D technology | Percentage | 31.2 | 45 | |
Percentage of trained employees by gender: Female | Percentage | 3.5 | 45 | |
Percentage of trained employees by gender: Male | Percentage | 96.5 | 45 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Average training hours per employee | Hour | 79.08 | 45 |
Average training hours per employee by gender: Female | Hour | 111.99 | 45 |
Average training hours per employee by gender: Male | Hour | 77.38 | 45 |
Total average training hours per employee from R&D technology | Hour | 129.25 | 45 |
Total average training hours per employee from manufacturing type | Hour | 34.55 | 45 |
Total average training hours per employee from marketing service | Hour | 119.37 | 45 |
Total average training hours per employee from operating management | Hour | 158.92 | 45 |
Total average training hours per employee from other type | Hour | 73.62 | 45 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of suppliers by region - Central China | units | 180 | 40 |
Number of suppliers by region - East China | units | 481 | 40 |
Number of suppliers by region - Hong Kong, Macao, Taiwan and overseas regions | units | 19 | 40 |
Number of suppliers by region - North China | units | 125 | 40 |
Number of suppliers by region - Northeast China | units | 113 | 40 |
Number of suppliers by region - Northwest China | units | 20 | 40 |
Number of suppliers by region - South China | units | 92 | 40 |
Number of suppliers by region - Southwest China | units | 13 | 40 |
Number of suppliers in Central China | Number | 180 | 45 |
Number of suppliers in East China | Number | 481 | 45 |
Number of suppliers in Hong Kong, Macao, Taiwan and overseas regions | Number | 19 | 45 |
Number of suppliers in North China | Number | 125 | 45 |
Number of suppliers in Northeast China | Number | 113 | 45 |
Number of suppliers in Northwest China | Number | 20 | 45 |
Number of suppliers in South China | Number | 92 | 45 |
Number of suppliers in Southwest China | Number | 13 | 45 |
Total number of suppliers | Number | 1043 | 45 |
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 | Report Pages |
---|---|---|---|
Supplier performance evaluation - delivery score negative comment rate decrease | percentage points | 7.5 | 40 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of procedures to control quality risks in value chain | procedures | 33 | 21 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Marketing service complaints | Time | 23 | 45 |
Product quality complaints | Time | 6 | 45 |
Reduction in repairing expenses for electric wide-body loaders compared to fuel-powered loaders | % | 40 | 17 |
Success rate of single battery swapping (SKT105E loader) | % | 100 | 17 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of automatic nodes in product quality improvement program | automatic nodes | 32 | 21 |
Number of process nodes in product quality improvement program | process nodes | 280 | 21 |
Number of quality control system construction systems released | systems | 17 | 21 |
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 | Report Pages |
---|---|---|---|
Number of conducted legal cases regarding corrupt practices brought against the issuer or its employees during the report period | Case | 1 | 45 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of participants in anti-corruption training for management and directors | Person | 10 | 45 |
Percentage of directors participating in anti-corruption training | Percentage | 100 | 45 |
Percentage of employees participating in anti-corruption training | Percentage | 100 | 45 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 556.51 |
NOâ‚“ Emissions | kg | 82547.28 |
PM Emission Intensity (By Revenue) | kg/RMB10000 of revenue | 0.0004 |
SOâ‚“ Emissions | kg | 5156.68 |
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 | 2021 | 2022 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | Ton of carbon dioxide equivalent | 8200 | 8353.65 |
Indirect Energy Emissions (Scope 2) | Ton of carbon dioxide equivalent | 38691.17 | 51588.78 |
Total GHG Emissions | Ton of carbon dioxide equivalent | 46891.17 | 59942.42 |
Total GHG Emissions Intensity (By Revenue) | Ton of carbon dioxide equivalent/RMB10000 operating revenue | 0.046 | 0.0396 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 |
---|---|---|---|
Total Hazardous Waste | Ton | 522 | 383.35 |
Total Hazardous Waste Intensity (By Revenue) | Ton/RMB10000 of revenue | 0.0005 | 0.0002 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 |
---|---|---|---|
Non-Hazardous Waste (Domestic Waste) | Ton | 1047 | 1688.05 |
Total Non-Hazardous Waste Intensity (By Revenue) | Ton/RMB10000 of revenue | 0.04 | 0.03 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2030 |
---|---|---|
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2020 | % | 25 |
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 | 2021 | 2022 |
---|---|---|---|
Diesel Fuel Consumption | Liter | 944062 | 1139535.02 |
Gasoline Consumption | Liter | 94797 | 16896.6 |
Natural Gas Consumption | Cubic meter | 2553025 | 2778716.5 |
Purchased Electricity | Kwh | 60059392.79 | 84054983.78 |
Purchased Electricity Intensity (By Revenue) | Kwh/RMB10000 of revenue | 58.91 | 54.1 |
Purchased Heating | GJ | 34520 | 33202 |
Purchased Heating Intensity (By Revenue) | GJ/RMB10000 of revenue | 0.03 | 0.02 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 |
---|---|---|---|
Water Consumption | Ton | 665144 | 566529 |
Water Consumption Intensity (By Revenue) | Ton/RMB10000 of revenue | 0.65 | 0.36 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2030 |
---|---|---|
Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % | 20 |
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 | 2030 |
---|---|---|
Target Water 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 | 2021 | 2022 |
---|---|---|---|
Packaging Material Consumption (Paper) | Ton | 24.81 | 34.26 |
Packaging Material Intensity (By Revenue) | Ton/RMB10000 of revenue | 1.27 | 0.75 |
Usage of Packaging Materials (Wood) | Ton | 1205.93 | 1158.59 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Employees Aged 30-50 | employees | 4411 |
Number of Employees Aged Above 50 | employees | 132 |
Number of Employees Aged Below 30 | employees | 2534 |
Number of Employees in Mainland China | employees | 7074 |
Number of Employees in Overseas | employees | 3 |
Number of Female Employees | employees | 348 |
Number of Male Employees | employees | 6729 |
Number of Total Employees | employees | 7077 |
Percentage of Employees Aged 30-50 | % | 62.34 |
Percentage of Employees Aged Above 50 | % | 1.87 |
Percentage of Employees Aged Below 30 | % | 35.81 |
Percentage of Employees in Mainland China | % | 99.96 |
Percentage of Employees in Overseas | % | 0.04 |
Percentage of Female Employees | % | 4.91 |
Percentage of Male Employees | % | 95.09 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 26.2 |
Turnover Rate of Employees Aged Above 50 | % | 35.6 |
Turnover Rate of Employees Aged Below 30 | % | 23.3 |
Turnover Rate of Employees in Mainland China | % | 25.3 |
Turnover Rate of Female Employees | % | 23.3 |
Turnover Rate of Male Employees | % | 25.4 |
Turnover Rate of Total Employees | % | 25.3 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 |
---|---|---|
Lost Days Due to Work-related Injuries | Day | 3561 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2021 | 2022 |
---|---|---|---|
Participation Rate of Safety Training | % | 100 | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 |
---|---|---|
Percentage of Trained Female Employees | Percentage | 3.5 |
Percentage of Trained Male Employees | Percentage | 96.5 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 |
---|---|---|
Average Training Hours (Female) | Hour | 111.99 |
Average Training Hours (General Employees) | Hour | 73.62 |
Average Training Hours (Male) | Hour | 77.38 |
Average Training Hours (Marketing & Customer Service) | Hour | 119.37 |
Average Training Hours (Operational Employees) | Hour | 158.92 |
Average Training Hours (Production Employees) | Hour | 34.55 |
Average Training Hours (R&D Personnel Employees) | Hour | 129.25 |
Average Training Hours per Employee | Hour | 79.08 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Suppliers in Central China | Number | 180 |
Number of Suppliers in East China | Number | 481 |
Number of Suppliers in North China | Number | 125 |
Number of Suppliers in Northeast China | Number | 113 |
Number of Suppliers in Northwest China | Number | 20 |
Number of Suppliers in South China | Number | 92 |
Number of Suppliers in Southwest China | Number | 13 |
Number of Total Suppliers | Number | 1043 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Product Quality Complaints | Time | 6 |
Number of Products and Service Related Complaints | Time | 29 |
Total Number of Customer Complaints | Time | 29 |
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.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Corruption Litigation | Case | 1 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2022 |
---|---|---|
Anti-corruption Training Coverage among Directors and Management | Percentage | 100 |
Coverage of Anti-corruption Training for Employees | Percentage | 100 |
Number of Directors and Management Attendance for Anti-corruption Training | Person | 10 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2022 |
---|---|---|
Total Social Investment | RMB ten thousand | 4 |