2020 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2017 | 2018 | 2018-2020 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|
Heat | MkJ | 1209467 | 914354 | 650131 | 118 | ||
Investment in noise control projects | million RMB | 262.37 | 114 | ||||
Nitrogen oxide (NOx) emission | tonnes | 266 | 244 | 232 | 240.22 | 117 | |
Noise monitoring compliance rate by Dongfeng Liuzhou Motor Limited | 74.3% | 114 | |||||
Number of noise control exceeding standards | 71 | 114 | |||||
Sulfur dioxide (SO2) emission | tonnes | 57 | 53 | 49 | 46.73 | 117 |
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 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Greenhouse emissions decrease for every RMB10000 production value compared to 2019 | 6.4% | 8 | ||||
Greenhouse gas emission | 10000 tonnes of carbon dioxide equivalent | 229.7 | 222.28 | 222.01 | 216.12 | 117 |
Greenhouse gas emissions per RMB10000 output value | equivalent/RMB10000 | 0.048 | 0.049 | 0.047 | 0.044 | 117 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Comprehensively utilized hazardous waste | tonnes | 8097 | 7338 | 5247 | 5831 | 117 |
Disposed hazardous waste | tonnes | 39386 | 42673 | 41166 | 41237 | 117 |
Disposed hazardous waste per RMB10000 output value | Kg/RMB10000 | 0.78 | 0.89 | 0.87 | 0.84 | 117 |
Solid waste disposal per RMB10000 output value | Kg/RMB10000 | 0.41 | 0.56 | 0.4 | 0.37 | 117 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Comprehensively utilized solid waste | tonnes | 678051 | 718978 | 676547 | 767093 | 117 |
Disposed general solid waste | tonnes | 20650 | 26794 | 18876 | 18008 | 117 |
General solid waste disposal volume | tonnes | 718978 | 676547 | 767093 | 78 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2018-2020 | 2020 | Report Pages |
---|---|---|---|---|
Consumption of packaging materials | Tonnes | 2663 | 118 | |
Consumption of packaging materials with output value of RMB10000 | Kg/RMB10000 | 0.94 | 118 | |
Emission reduction target for VOCs (compared to 2015) | % lower | 29 | 73 | |
Number of noise control exceeding standards technological transformation projects by Dongfeng Liuzhou Motor Limited | 5 | 114 | ||
Number of noise control projects implemented | 412 | 114 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Comprehensive utilization volume of general solid waste | tonnes | 26794 | 18876 | 18008 | 78 |
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 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Comprehensive energy consumption | 10000 tonnes of standard coal | 69.93 | 66.38 | 65.06 | 66 | |
Comprehensive energy consumption decrease for every RMB10000 production value compared to 2019 | 5.8% | 8 | ||||
Comprehensive energy consumption per RMB10000 output value | Kg standard coal/RMB10000, kg of standard coal/RMB10000 | 14.37 | 14.61 | 14.06 | 13.24 | 66, 118 |
Conversion of comprehensive energy consumption | Tonne standard coal | 727848 | 699289 | 663841 | 650603 | 118 |
Diesel oil | tonnes | 21336 | 19531 | 20087 | 22116 | 118 |
Gasoline | tonnes | 19096 | 17665 | 15904 | 13420 | 118 |
Natural gas | 10000 standard cubic meters | 14371 | 13376 | 12372 | 11658 | 118 |
Others (including coal, fuel oil, coal oil, lubricating oil, etc.) | Tonne of standard coal | 46169 | 46780 | 46807 | 54353 | 118 |
Photovoltaic power generation | tonnes of standard coal | 9082 | 8 | |||
Photovoltaic power generation of the Group | tonnes of standard coal | 9082 | 66 | |||
Production capacity of Dongfeng Passenger Vehicle resumed to pre-epidemic level | employees returning to work | 100% | 13 | |||
Purchased electricity | 10000 kWh | 311637 | 309847 | 299950 | 298622 | 118 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Industrial wastewater emission | 10000 tonnes | 1230 | 1105 | 974 | 880 | 117 |
Production water consumption (fresh water) | 10000 tonnes | 2171 | 1977 | 1744 | 1630 | 118 |
Production water consumption per RMB10000 output value (fresh water) | Tonne/RMB10000 | 0.43 | 0.41 | 0.37 | 0.32 | 118 |
production water consumption (freshwater) | 10000 tonnes | 1977 | 1744 | 1630 | 71 | |
water consumption output value intensity (freshwater) | tonne/RMB10000 | 0.41 | 0.37 | 0.32 | 71 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Reporting Period | Report Pages |
---|---|---|---|---|
Comprehensive energy consumption target per 10000 yuan output value (compared to 2015) | % lower | 16 | 73 | |
Electricity charge saved by frequency conversion energy-saving project of electrophoresis circulating pump of Dongfeng Peugeot-Citroën | million RMB | 1.08 | 65 | |
Electricity saved by frequency conversion energy-saving project of electrophoresis circulating pump of Dongfeng Peugeot-Citroën | million kwh | 1.27 | 65 | |
Investment in replacement of metal halide lamp with LED lamp at Dongfeng Off-road Vehicle | RMB | 106700 | 65 | |
Number of units replaced with LED lamp at Dongfeng Off-road Vehicle | units | 277 | 65 | |
Standard coal saved by frequency conversion energy-saving project of electrophoresis circulating pump of Dongfeng Peugeot-Citroën | tonnes | 156 | 65 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Investment in technological transformation of noise improvement projects by Dongfeng Liuzhou Motor Limited | million RMB | 2.335 | 114 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
First batch of production personnel for anti-epidemic vehicles | persons | 565 | 13 | |||
Number of Dongfeng Honda employees who applied for personnel permits to resume work and production | employees | 12632 | 10 | |||
Number of Dongfeng Passenger Vehicle employees who applied for personnel permits to resume work and production | employees | 2328 | 10 | |||
Number of employees aged 29 and below | persons | 35710 | 100 | |||
Number of employees aged 29 and under | Person | 53642 | 52621 | 39578 | 35710 | 119 |
Number of employees aged 30 to 39 | Person, persons | 35789 | 35154 | 36243 | 42615 | 100, 119 |
Number of employees aged 40 to 49 | Person, persons | 32101 | 32130 | 31437 | 31205 | 100, 119 |
Number of employees aged 50 and above | Person, persons | 8660 | 6697 | 12255 | 14740 | 100, 119 |
Number of employees in engineering technology | Person | 9604 | 16575 | 17487 | 18348 | 119 |
Number of employees in management | Person | 32098 | 30200 | 28113 | 27461 | 119 |
Number of employees in manufacturing | Person | 97722 | 91562 | 84007 | 77679 | 119 |
Number of employees in service | Person | 6085 | 1265 | 965 | 782 | 119 |
Number of employees with below college diploma | Person | 54050 | 50642 | 48493 | 49707 | 119 |
Number of employees with below college education | persons | 49707 | 100 | |||
Number of employees with college and undergraduate education | persons | 67800 | 100 | |||
Number of employees with college diploma and bachelor's | Person | 70270 | 69997 | 64649 | 67800 | 119 |
Number of employees with master's degree and above | Person, persons | 5872 | 5963 | 6371 | 6763 | 100, 119 |
Number of engineering and technology staff | persons | 18348 | 100 | |||
Number of female employees | Person | 27056 | 25716 | 23559 | 21927 | 119 |
Number of female staff | persons | 21927 | 100 | |||
Number of male employees | Person | 119787 | 113886 | 107013 | 102343 | 119 |
Number of male staff | persons | 102343 | 100 | |||
Number of management staff | persons | 27461 | 100 | |||
Number of manufacturing workers | persons | 77679 | 100 | |||
Number of people resumed work at Shiyan Base after pandemic | people | 220000 | 8 | |||
Number of service staff | persons | 782 | 100 | |||
Proportion of employees aged 29 and below | % | 29 | 100 | |||
Proportion of employees aged 30 to 39 | % | 34 | 100 | |||
Proportion of employees aged 40 to 49 | % | 25 | 100 | |||
Proportion of employees aged 50 and above | % | 12 | 100 | |||
Proportion of employees with below college education | % | 40 | 100 | |||
Proportion of employees with college and undergraduate education | % | 55 | 100 | |||
Proportion of employees with master's degree and above | % | 5 | 100 | |||
Proportion of engineering and technology staff | % | 15 | 100 | |||
Proportion of female staff | % | 18 | 100 | |||
Proportion of male staff | % | 82.36 | 100 | |||
Proportion of management staff | % | 22 | 100 | |||
Proportion of manufacturing workers | % | 62 | 100 | |||
Proportion of service staff | % | 1 | 100 | |||
Total number of employees | Person, persons | 146843 | 139602 | 130572 | 124270 | 100, 119 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Employee turnover rate | % | 9.8 | 100 | |||
Employee turnover rate for employees aged 29 and under | % | 17.32 | 119 | |||
Employee turnover rate for employees aged 30–39 | % | 7.92 | 119 | |||
Employee turnover rate for employees aged 40–49 | % | 5.07 | 119 | |||
Employee turnover rate for employees aged 50 and above | % | 14.22 | 119 | |||
Employee turnover rate for female employees | % | 9.3 | 119 | |||
Employee turnover rate for male employees | % | 10.96 | 119 | |||
Total employee turnover rate | % | 8.3 | 6.7 | 14.13 | 9.8 | 119 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Change in number of production safety accidents compared with last year | -3 | 111 | ||||
Injury rate per thousand employees | Hour | 6584 | 97030 | 2002 | 120 | |
Number of production safety accidents in the Group | 8 | 111 | ||||
Number of work-related fatalities | Person | 2 | 120 | |||
Rate of work injury | % | 0.177 | 0.12 | 0.078 | 0.065 | 120 |
Rate of work-related accidents (injuries per 1000 people) | ‰ | 0.065 | 111 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Days to resume work at Shiyan Base after pandemic | days | 15 | 8 | ||
Lost working days due to work injury | Person | 16 | 11 | 8 | 120 |
Total number of working days lost due to work-related injuries | days | 250 | 111 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2018-2020 | 2020 | Report Pages |
---|---|---|---|---|
Emergency convoy personnel for epidemic prevention and control | persons | 500 | 13 | |
Investment to eliminate noise of the job position | RMB million | 273 | 8 | |
Number of employees benefited from noise control | 3532 | 114 | ||
Number of employees benefited from noise positions eliminated | 1348 | 114 | ||
Number of positions meeting noise standards and Level IV noise positions eliminated | 733 | 114 | ||
Number of positions with noise eliminated | 273 | 114 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Cumulative number of participants in integrity education and training | person-times | 76213 | 8 | |
Increase in total number of participants of training compared to 2019 | 38.57% | 8 | ||
Percentage of trained engineering technology employees | % | 13 | 19 | 120 |
Percentage of trained female employees | % | 18 | 18 | 120 |
Percentage of trained general staff | % | 95 | 92.49 | 120 |
Percentage of trained male employees | % | 82 | 82 | 120 |
Percentage of trained management employees | % | 22 | 18 | 120 |
Percentage of trained manufacturing workers | % | 64 | 58 | 120 |
Percentage of trained middle management | % | 4 | 5.84 | 120 |
Percentage of trained senior management | % | 1 | 1.67 | 120 |
Percentage of trained service employees | % | 1 | 4 | 120 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Average training hours for engineering technology employees | Hour | 66.58 | 92.37 | 120 |
Average training hours for general staff | Hour | 41.93 | 60.01 | 120 |
Average training hours for management | Hour | 48.62 | 87.5 | 120 |
Average training hours for manufacturing workers | Hour | 37.46 | 45.69 | 120 |
Average training hours for middle management | Hour | 89 | 105.02 | 120 |
Average training hours for senior management | Hour | 113 | 162 | 120 |
Average training hours for service employees | Hour | 37.4 | 31.58 | 120 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of tier-1 suppliers of 'Dongfeng series' in Wuhan Development Zone resumed work and production | suppliers | 229 | 10 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Newly authorised patents | 1737 | 8 | |
Patent applications | 4332 | 8 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Integrity education and training sessions carried out | times | 1402 | 8 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Admission to treatment for persons with special needs and psychological care | persons | 6 | 9 |
Admission to treatment for persons with special needs and psychological care (psychological care) | persons | 5 | 9 |
Donation to Wuhan Charity Federation for COVID-19 fight | million RMB | 10 | 13 |
Total investment capital of community activities | RMB million | 16.41 | 8 |
Total investment in anti-pandemic and disaster relief | person-times | 54516 | 8 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Anti-epidemic vehicles produced per day after 5 March | units per day | 100 | 13 |
Anti-epidemic vehicles produced per day after overtime production commenced | units per day | 22 | 13 |
Assistance to hospital for production of pregnant women workers | persons | 18 | 9 |
Daily necessities distributed to isolated youth by Dongfeng Liuzhou Motor | person-times | 10000 | 13 |
Donations for anti-pandemic and disaster relief | RMB billion | 0.105 | 8 |
Special anti-epidemic fund allocated for trade unions in 13 grass-root units with severe epidemic situation | RMB | 850000 | 9 |
Total donation for epidemic prevention activities | million RMB | 7.42 | 13 |
Total number of hours spent by personnel of community activities | hours | 17400 | 8 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
NOâ‚“ Emissions | tonnes | 266 | 244 | 232 | 240.22 |
SOâ‚“ Emissions | tonnes | 57 | 53 | 49 | 46.73 |
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 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Total GHG Emissions | tonnes CO2 equivalent | 2297000 | 2222800 | 2220100 | 2161200 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2 equivalent per RMB10000 output value | 0.048 | 0.049 | 0.047 | 0.044 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Hazardous Waste Disposed | tonnes | 39386 | 42673 | 41166 | 41237 |
Hazardous Waste Recycled | tonnes | 8097 | 7338 | 5247 | 5831 |
Total Hazardous Waste Intensity (By Revenue) | Kg/RMB10000 | 0.78 | 0.89 | 0.87 | 0.84 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Non-Hazardous Waste Disposed | tonnes | 20650 | 26794 | 18876 | 18008 |
Non-Hazardous Waste Recycled | tonnes | 678051 | 718978 | 676547 | 767093 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
VOC Emissions Reduction Percentage Compared to 2015 | % lower | 29 |
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 | 2019 | 2020 |
---|---|---|---|
Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 29.6 | 4.6 |
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 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Comprehensive Energy Consumption Intensity (By Revenue) | kg standard coal/RMB10000 | 14.37 | 14.61 | 14.06 | 13.24 |
Diesel Fuel Consumption | tonnes | 21336 | 19531 | 20087 | 22116 |
Gasoline Consumption | tonnes | 19096 | 17665 | 15904 | 13420 |
Natural Gas Consumption | 10000 standard cubic meters | 14371 | 13376 | 12372 | 11658 |
Purchased Electricity | 10000 kWh | 311637 | 309847 | 299950 | 298622 |
Renewable Energy Consumption | tonnes of standard coal | 9082 | |||
Solar Energy | tonnes of standard coal | 9082 | |||
Total Energy Consumption | tonne standard coal | 727848 | 699289 | 663841 | 650603 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Discharge of Industrial Wastewater | tonnes | 12300000 | 11050000 | 9740000 | 8800000 |
Water Consumption Intensity (By Revenue) | tonne/RMB10000 | 0.43 | 0.41 | 0.37 | 0.32 |
Water Consumption in Production and Operation | tonnes | 21710000 | 19770000 | 17440000 | 16300000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
Electricity Usage Reduction Compared to Last Year | kwh | 1270000 |
Investment in Energy-saving and Emission-reduction Technology Transformation | RMB | 1080000 |
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 16 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit |
---|---|
Packaging Material Intensity (By Revenue) | kg/RMB10000 |
Packaging Materials Consumed | tonnes |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2020 |
---|---|---|
Total Investment in Ecological Restoration | RMB | 2335000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Number of Employees Aged 30-50 | Person | 67890 | 67284 | 67680 | 73820 |
Number of Employees Aged Above 50 | Person | 8660 | 6697 | 12255 | 14740 |
Number of Employees Aged Below 30 | Person | 53642 | 52621 | 39578 | 35710 |
Number of Female Employees | Person | 27056 | 25716 | 23559 | 21927 |
Number of Male Employees | Person | 119787 | 113886 | 107013 | 102343 |
Number of Total Employees | Person | 146843 | 139602 | 130572 | 124270 |
Percentage of Employees Aged 30-50 | % | 59 | |||
Percentage of Employees Aged Above 50 | % | 12 | |||
Percentage of Employees Aged Below 30 | % | 29 | |||
Percentage of Female Employees | % | 18 | |||
Percentage of Male Employees | % | 82.36 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 7.92 | |||
Turnover Rate of Employees Aged Above 50 | % | 14.22 | |||
Turnover Rate of Employees Aged Below 30 | % | 17.32 | |||
Turnover Rate of Female Employees | % | 9.3 | |||
Turnover Rate of Male Employees | % | 10.96 | |||
Turnover Rate of Total Employees | % | 8.3 | 6.7 | 14.13 | 9.8 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Fatalities as a Result of Work-related Injuries | Person | 2 |
Number of Work-related Fatalities | Person | 2 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 16 | 11 | 250 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Investment in Work Safety | RMB million | 273 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Percentage of Trained Female Employees | % | 18 | 18 |
Percentage of Trained General Employees | % | 95 | 92.49 |
Percentage of Trained Male Employees | % | 82 | 82 |
Percentage of Trained Middle Management | % | 4 | 5.84 |
Percentage of Trained Senior Management | % | 1 | 1.67 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Average Training Hours (Administrative Employees) | Hour | 48.62 | 87.5 |
Average Training Hours (General Employees) | Hour | 41.93 | 60.01 |
Average Training Hours (General Staff) | Hour | 41.93 | 60.01 |
Average Training Hours (Marketing & Customer Service) | Hour | 37.4 | 31.58 |
Average Training Hours (Middle Management) | Hour | 89 | 105.02 |
Average Training Hours (Operational Employees) | Hour | 37.46 | 45.69 |
Average Training Hours (Production Employees) | Hour | 37.46 | 45.69 |
Average Training Hours (Senior Management) | Hour | 113 | 162 |
Average Training Hours (Technical Employees) | Hour | 66.58 | 92.37 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Local Suppliers | suppliers | 229 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Patents Applied | 4332 | |
Number of Patents Granted | 1737 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Anti-corruption Training Session | times | 1402 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 |
---|---|---|
Donations to Disaster Relief Contributions to Public Welfare | RMB billion | 0.105 |
Number of Participations in Volunteer Activities | person-times | 10000 |
Total Cash Donations | million RMB | 1 |
Total In-kind Donations | million RMB | 84.45 |
Total Social Investment | million RMB | 7.42 |
Total Volunteer Service Hours | hours | 17400 |