SUSTAINABILITY REPORT 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| NOx (Air Emissions) | tonnes | 0.54 | 0.52 | 0.31 | 48 |
| PM (Air Emissions) | tonnes | 0.61 | 0.38 | 0.77 | 48 |
| VOC emissions reduced by adopting high-solid paintings | kg | 10000 | 19 | ||
| VOC emissions reduced by use of high-solid paint | kg | 12715 | 19 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| GHG emissions intensity | tCO2e/RMB'M Revenue | 15.09 | 9.74 | 10.16 | 48 |
| Scope 1: Direct GHG emission | tCO2e | 722 | 731 | 618 | 48 |
| Scope 1: Direct emissions | tCO2e (tonnes of CO2 equivalent) | 731 | 618 | 28 | |
| Scope 2: Indirect GHG emission | tCO2e | 4231 | 3615 | 3231 | 48 |
| Scope 2: Indirect emissions | tCO2e | 3616 | 3231 | 28 | |
| Total GHG emissions | tCO2e | 4953 | 4346 | 3849 | 28, 48 |
| Total GHG emissions intensity | tCO2e/RMB’M Revenue | 9.74 | 10.16 | 28 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|---|
| Reduction of hazardous waste emissions | tonnes | 10 | 19 | |||
| Total hazardous waste | tonnes | 47 | 87 | 92 | 48 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Paint consumption saved by improved painting process of small parts | % | 33 | 19 | ||
| Recycled materials (Non-hazardous waste) | tonnes | 431 | 493 | 534 | 48 |
| Recycled non-hazardous waste | % | 100 | 100 | 100 | 48 |
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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Electric forklifts procured to reduce fuel consumption | units | 2 | 19 | ||
| Electric forklifts purchased | units | 5 | 19 | ||
| Electricity consumption | GJ, MWh | 4379 | 13465 | 12043 | 28, 48 |
| Electricity intensity | MWh/RMB’M Revenue | 8.38 | 8.83 | 28 | |
| Energy Intensity | MWh/RMB'M Revenue | 24.41 | 16.62 | 17.04 | 48 |
| Natural gas consumption | GJ, MWh, m³ | 12973 | 13134 | 11110 | 28, 48 |
| Natural gas intensity | MWh/RMB’M Revenue | 8.24 | 8.21 | 28 | |
| Total energy consumption | GJ, MWh | 8011 | 26599 | 23153 | 28, 48 |
| Total energy intensity | MWh/RMB’M Revenue | 16.62 | 17.04 | 28 | |
| Weight of non-renewable materials used | tonnes | 54 | 30 | 25 | 48 |
| Weight of renewable materials used | tonnes | 3728 | 4108 | 1948 | 48 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption | m3 | 31386 | 32483 | 20051 | 48 |
| Water intensity | m3/employee | 69.3 | 74.5 | 49.9 | 48 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2021 | Report Pages |
|---|---|---|---|---|
| Electricity conserved by laser cutting machine upgrade and procurement | kWh | 9000 | 19 | |
| Electricity saved by purchased and upgraded laser cutting machine | kWh | 46800 | 19 | |
| Electricity saved by upgrading metal-halide lamps to LED lamps in factory | kWh | 64025 | 19 | |
| Fuel consumption reduction per electric forklift | liters per unit | 1000 | 19 | |
| Fuel saved by electric forklifts | L/unit | 1395 | 19 | |
| Material transportation reduction in factory | km | 1000 | 19 | |
| Spray paint hangers energy savings in small pieces painting process | % | 5 | 19 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2018 | 2019 | 2020 | 2021 | Report Pages |
|---|---|---|---|---|---|---|
| Steel consumption saved per set by DG4000/5000 series in hot mix storage bin | tonnes per set | 5 | 19 | |||
| Steel consumption saved per set by DGX4000 series plant | tonnes per set | 12 | 19 | |||
| Steel consumption saved per set by newly developed DGX series plant compared to original series | tonnes per set | 10 | 19 | |||
| Total weight of material consumption | tonnes | 3782 | 4138 | 1973 | 48 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Environmental protection training hours | Hours | 25 | 52 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| New Employee Hire Breakdown - By Age - 18-30 | No. of people | 7 | 8 | 50 | |
| New Employee Hire Breakdown - By Age - 31-40 | No. of people | 17 | 8 | 50 | |
| New Employee Hire Breakdown - By Age - 41-50 | No. of people | 11 | 1 | 50 | |
| New Employee Hire Breakdown - By Age - 51 or above | No. of people | 3 | 1 | 50 | |
| New Employee Hire Breakdown - By Gender - Female | No. of people | 5 | 2 | 50 | |
| New Employee Hire Breakdown - By Gender - Male | No. of people | 33 | 16 | 50 | |
| New Employee Hire Breakdown - By Working Location - Chengdu | No. of people | 1 | 50 | ||
| New Employee Hire Breakdown - By Working Location - Hong Kong | No. of people | 1 | 50 | ||
| New Employee Hire Breakdown - By Working Location - Langfang | No. of people | 35 | 16 | 50 | |
| New Employee Hire Breakdown - By Working Location - Shanghai | No. of people | 1 | 50 | ||
| New Employee Hire Breakdown - By Working Location - Thailand | No. of people | 1 | 50 | ||
| New Employee Hire Breakdown - By Working Location - Xi'an | No. of people | 1 | 50 | ||
| New Employee Hire Breakdown - Total | No. of people | 38 | 18 | 50 | |
| Number of people aged 18-30 | No. of people | 22 | 4 | 12 | 51 |
| Number of people aged 31-40 | No. of people | 14 | 32 | 19 | 51 |
| Number of people aged 41-50 | No. of people | 8 | 19 | 9 | 51 |
| Number of people aged 51 or above | No. of people | 7 | 4 | 12 | 51 |
| Number of people by working location: Beijing | No. of people | 4 | 3 | 3 | 51 |
| Number of people by working location: Guangzhou | No. of people | 1 | 51 | ||
| Number of people by working location: Hong Kong | No. of people | 2 | 1 | 51 | |
| Number of people by working location: India | No. of people | 4 | 51 | ||
| Number of people by working location: Langfang | No. of people | 45 | 46 | 42 | 51 |
| Number of people by working location: Pakistan | No. of people | 4 | 51 | ||
| Number of people by working location: Shanghai | No. of people | 2 | 1 | 1 | 51 |
| Number of people by working location: Singapore | No. of people | 2 | 51 | ||
| Number of people by working location: Xi'an | No. of people | 1 | 51 | ||
| Percentage of employees by gender (female) | % | 17 | 52 | ||
| Percentage of employees by gender (male) | % | 83 | 52 | ||
| Percentage of employees by position (frontline and general staff) | % | 80 | 52 | ||
| Percentage of employees by position (management) | % | 18 | 52 | ||
| Percentage of employees by position (senior management) | % | 1 | 52 | ||
| Percentage of people aged 18-30 | % | 17.7 | 3.8 | 15.5 | 51 |
| Percentage of people aged 31-40 | % | 9.2 | 19.4 | 11.2 | 51 |
| Percentage of people aged 41-50 | % | 7.5 | 3.7 | 8.7 | 51 |
| Percentage of people aged 51 or above | % | 10.8 | 6.1 | 17.5 | 51 |
| Percentage of people by working location: Beijing | % | 7.9 | 6.4 | 8.1 | 51 |
| Percentage of people by working location: Guangzhou | % | 5.3 | 51 | ||
| Percentage of people by working location: Hong Kong | % | 13.8 | 7.1 | 51 | |
| Percentage of people by working location: India | % | 200 | 51 | ||
| Percentage of people by working location: Langfang | % | 13.5 | 13.8 | 13 | 51 |
| Percentage of people by working location: Pakistan | % | 133 | 51 | ||
| Percentage of people by working location: Shanghai | % | 11.4 | 5.6 | 5.7 | 51 |
| Percentage of people by working location: Singapore | % | 200 | 51 | ||
| Percentage of people by working location: Xi'an | % | 200 | 51 | ||
| Senior Management Breakdown - By Age - 31-40 | No. of people | 1 | 1 | 50 | |
| Senior Management Breakdown - By Age - 41-50 | No. of people | 3 | 2 | 2 | 50 |
| Senior Management Breakdown - By Age - 51 or above | No. of people | 2 | 3 | 4 | 50 |
| Senior Management Breakdown - By Educational Level - Bachelor | No. of people | 4 | 5 | 5 | 50 |
| Senior Management Breakdown - By Educational Level - Diploma | No. of people | 1 | 50 | ||
| Senior Management Breakdown - By Educational Level - Master | No. of people | 1 | 1 | 1 | 50 |
| Senior Management Breakdown - By Gender - Female | No. of people | 1 | 1 | 1 | 50 |
| Senior Management Breakdown - By Gender - Male | No. of people | 5 | 5 | 5 | 50 |
| Workforce By Age 18-30 | No. of people | 122 | 89 | 66 | 49 |
| Workforce By Age 31-40 | No. of people | 159 | 171 | 168 | 49 |
| Workforce By Age 41-50 | No. of people | 108 | 108 | 99 | 49 |
| Workforce By Age 51 or above | No. of people | 64 | 68 | 69 | 49 |
| Workforce By Gender Female | No. of people | 90 | 78 | 73 | 49 |
| Workforce By Gender Male | No. of people | 363 | 358 | 329 | 49 |
| Workforce By Position Frontline and general staff | No. of people | 378 | 363 | 323 | 49 |
| Workforce By Position Management | No. of people | 69 | 67 | 73 | 49 |
| Workforce By Position Senior management | No. of people | 6 | 6 | 6 | 49 |
| Workforce By Working Location Beijing | No. of people | 49 | 45 | 29 | 49 |
| Workforce By Working Location Chengdu | No. of people | 2 | 2 | 5 | 49 |
| Workforce By Working Location Guangzhou | No. of people | 22 | 20 | 18 | 49 |
| Workforce By Working Location Hong Kong | No. of people | 15 | 14 | 14 | 49 |
| Workforce By Working Location India | No. of people | 4 | 4 | 49 | |
| Workforce By Working Location Langfang | No. of people | 335 | 330 | 315 | 49 |
| Workforce By Working Location Pakistan | No. of people | 5 | 1 | 49 | |
| Workforce By Working Location Shanghai | No. of people | 18 | 18 | 17 | 49 |
| Workforce By Working Location Shangxi | No. of people | 1 | 2 | 49 | |
| Workforce By Working Location Singapore | No. of people | 2 | 49 | ||
| Workforce By Working Location Thailand | No. of people | - | 1 | 1 | 49 |
| Workforce By Working Location Xi'an | No. of people | 1 | 1 | 49 | |
| Workforce Total | No. of people | 453 | 436 | 402 | 49 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Employees Turnover Rate - By Gender - Female | %, No. of people | 10.1 | 16.7 | 9.3 | 50 |
| Employees Turnover Rate - By Gender - Male | %, No. of people | 11.7 | 12.5 | 13.1 | 50 |
| Employees Turnover Rate - Overall | %, No. of people | 11.4 | 13.3 | 12.4 | 50 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Injury rate per 1000 employees | 14 | 18 | 16.7 | 52 | |
| Total number of injuries | No. of incident(s) | 6 | 8 | 7 | 52 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Lost day(s) | Day(s) | 207 | 112 | 150 | 52 |
| Lost time incident rate (LTIR) | 1.3 | 1.8 | 1.7 | 52 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of training topics | No. | 59 | 80 | 137 | 52 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| All types of training hours | Hours | 224.5 | 304.5 | 258.2 | 52 |
| Average training hours by gender (female) | Hours | 11 | 2.5 | 32 | 52 |
| Average training hours by gender (male) | Hours | 11.9 | 9.6 | 26.5 | 52 |
| Average training hours by position (frontline and general staff) | Hours | 11.8 | 9.1 | 28.3 | 52 |
| Average training hours by position (management) | Hours | 11.4 | 4 | 22.2 | 52 |
| Average training hours by position (senior management) | Hours | 7.7 | 8.8 | 51.7 | 52 |
| Management and operation training hours | Hours | 51 | 28.5 | 110 | 52 |
| Occupational health and safety training hours | Hours | 42 | 11 | 50.7 | 52 |
| Professional knowledge training hours | Hours | 106.5 | 265 | 97.5 | 52 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Number of suppliers in China | No. | 171 | 176 | 151 | 52 |
| Number of suppliers overseas | No. | 2 | 2 | 3 | 52 |
| Percentage of suppliers in China | % | 99 | 98.9 | 97 | 52 |
| Percentage of suppliers overseas | % | 1 | 1.1 | 3 | 52 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2020 | 2021 | Report Pages |
|---|---|---|---|---|
| Large-scale suppliers to implement sustainable procurement policies | suppliers | 20 | 19 | |
| Suppliers implemented Sustainable Procurement Policies | suppliers | 10 | 10 | 19 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2020 | 2021 | Report Pages |
|---|---|---|---|---|
| Contract EHS requirements compliance rate | % | 90 | 19 | |
| Proportion of EHS in supplier management evaluation | % | 10 | 10 | 19 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 0.61 | 0.38 | 0.77 |
| NOâ‚“ Emissions | tonnes | 0.54 | 0.52 | 0.31 |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 722 | 731 | 618 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 4231 | 3616 | 3231 |
| Total GHG Emissions | tCO2e | 4953 | 4346 | 3849 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB'M Revenue | 15.09 | 9.74 | 10.16 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Total Hazardous Waste | tonnes | 47 | 87 | 92 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Non-Hazardous Waste Recycled | tonnes | 431 | 493 | 534 |
| Recycling Rate of Non-Hazardous Waste | % | 100 | 100 | 100 |
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 | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Revenue) | MWh/RMB'M Revenue | 24.41 | 16.62 | 17.04 |
| Natural Gas Consumption | GJ | 12973 | 3677 | 11110 |
| Purchased Electricity | GJ | 15763 | 13465 | 3345 |
| Total Energy Consumption | GJ | 8011 | 26599 | 6456 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Water Consumption | m3 | 31386 | 32483 | 20051 |
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 | 149825 |
| Electricity Usage Reduction Percentage Compared to Last Year | % | 5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | No. of people | 267 | 279 | 267 |
| Number of Employees Aged Above 50 | No. of people | 64 | 68 | 69 |
| Number of Employees Aged Below 30 | No. of people | 122 | 89 | 66 |
| Number of Employees in Hong Kong | No. of people | 15 | 14 | 14 |
| Number of Employees in Hong Kong and Mainland China | No. of people | 451 | 435 | 402 |
| Number of Employees in Mainland China | No. of people | 436 | 421 | 388 |
| Number of Employees in Singapore | No. of people | 2 | ||
| Number of Female Employees | No. of people | 90 | 78 | 73 |
| Number of Male Employees | No. of people | 363 | 358 | 329 |
| Number of New Employees | No. of people | None | 38 | 18 |
| Number of New Employees (Above 50) | No. of people | 3 | 1 | |
| Number of New Employees (Aged 30-50) | No. of people | 28 | 9 | |
| Number of New Employees (Aged Below 30) | No. of people | 7 | 8 | |
| Number of New Employees (Female) | No. of people | 5 | 2 | |
| Number of New Employees (Male) | No. of people | 33 | 16 | |
| Number of Senior Management Employees | No. of people | 6 | 6 | 6 |
| Number of Total Employees | No. of people | 453 | 436 | 402 |
| Percentage of Employees Aged 30-50 | % | 58.94 | 64.22 | 66.42 |
| Percentage of Employees Aged Above 50 | % | 14.13 | 15.6 | 17.16 |
| Percentage of Employees Aged Below 30 | % | 26.94 | 20.41 | 16.42 |
| Percentage of Employees in Hong Kong | % | 3.31 | 3.21 | 3.48 |
| Percentage of Employees in Hong Kong and Mainland China | % | 99.56 | 99.77 | 100 |
| Percentage of Employees in Mainland China | % | 96.25 | 96.56 | 96.52 |
| Percentage of Female Employees | % | 19.87 | 17.89 | 18.16 |
| Percentage of Male Employees | % | 80.13 | 82.11 | 81.84 |
| Percentage of Senior Management Employees | % | 1.32 | 1.38 | 1.49 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Turnover Rate of Female Employees | % | 10.1 | 16.7 | 9.3 |
| Turnover Rate of Male Employees | % | 11.7 | 12.5 | 13.1 |
| Turnover Rate of Total Employees | % | 11.4 | 13.3 | 12.4 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day(s) | 207 | 112 | 150 |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | 1.3 | 1.8 | 1.7 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hours | 11 | 2.5 | 32 |
| Average Training Hours (General Staff) | Hours | 11.8 | 9.1 | 28.3 |
| Average Training Hours (Male) | Hours | 11.9 | 9.6 | 26.5 |
| Average Training Hours (Senior Management) | Hours | 7.7 | 8.8 | 51.7 |
| Total Training Hours | Hours | 224.5 | 304.5 | 258.2 |
| Training Hours of Professional Skills Development | Hours | 106.5 | 265 | 97.5 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | No. | 171 | 176 | 151 |
| Number of Suppliers in Overseas | No. | 2 | 2 | 3 |
| Number of Total Suppliers | No. | 173 | 178 | 154 |