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 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|
| Nitrogen oxides (NOₓ) emission, Float glass | tonnes | 4252 | 4105 | 30 |
| Particulates emission, Float glass | tonnes | 201 | 159 | 30 |
| Sulphur dioxide (SO₂) emission, Float glass | tonnes | 1812 | 2019 | 30 |
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 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Direct greenhouse gas emission (Architectural glass) | tonnes carbon dioxide equivalent | 259 | 33 | ||
| Direct greenhouse gas emission (Automobile glass) | tonnes carbon dioxide equivalent | 263 | 265 | 33 | |
| Direct greenhouse gas emission (Float glass) | tonnes carbon dioxide equivalent | 5371886 | 5429878 | 33 | |
| Direct greenhouse gas emission (Total) | tonnes carbon dioxide equivalent | 5372149 | 5430402 | 33 | |
| Emission density (Architectural glass) | tonnes carbon dioxide equivalent/tonne | 0.2784 | 0.2325 | 33 | |
| Emission density (Automobile glass) | tonnes carbon dioxide equivalent/m2 | 0.0044 | 0.0036 | 33 | |
| Emission density (Float glass) | tonnes carbon dioxide equivalent/tonne | 0.6562 | 0.6416 | 33 | |
| Indirect greenhouse gas emission (Architectural glass) | tonnes carbon dioxide equivalent | 127315 | 115691 | 33 | |
| Indirect greenhouse gas emission (Automobile glass) | tonnes carbon dioxide equivalent | 270953 | 215089 | 33 | |
| Indirect greenhouse gas emission (Float glass) | tonnes carbon dioxide equivalent | 260270 | 196820 | 33 | |
| Indirect greenhouse gas emission (Total) | tonnes carbon dioxide equivalent | 658538 | 527600 | 33 | |
| Total emissions, Float glass | tonnes | 6265 | 6283 | 30 | |
| Total greenhouse gas emission (Architectural glass) | tonnes carbon dioxide equivalent | 127315 | 115950 | 33 | |
| Total greenhouse gas emission (Automobile glass) | tonnes carbon dioxide equivalent | 271216 | 215354 | 33 | |
| Total greenhouse gas emission (Float glass) | tonnes carbon dioxide equivalent | 5632157 | 5626698 | 33 | |
| Total greenhouse gas emission (Total) | tonnes carbon dioxide equivalent | 6030688 | 5958002 | 33 | |
| greenhouse gas emissions density of float glass, automobile glass, architectural glass | % decrease | decreased | 1 | 25 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Decrease in waste fluorescent lamp produced compared to last year | tonne | 0.041 | 37 | ||
| Hazardous waste emission - Architectural glass | tonnes | 134.1 | 110.9 | 36 | |
| Hazardous waste emission - Automobile glass | tonnes | 59.2 | 221.6 | 36 | |
| Hazardous waste emission - Float glass | tonnes | 432.9 | 288.9 | 36 | |
| Hazardous waste emission - Living areas and office buildings | tonnes | 0.4 | 1.2 | 36 | |
| Hazardous waste emission - Total | tonnes | 626.6 | 622.6 | 36 | |
| Hazardous waste emission density - Architectural glass | kg/tonne | 0.2932 | 0.2224 | 36 | |
| Hazardous waste emission density - Automobile glass | kg/m2 | 0.001 | 0.0037 | 36 | |
| Hazardous waste emission density - Float glass | kg/tonne | 0.0504 | 0.0329 | 36 | |
| hazardous wastes emissions density of float glass and architectural glass | decreased | 25 | |||
| hazardous wastes emissions density of float glass, automobile glass, architectural glass | % decrease | 1 | 25 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste emission - Architectural glass | tonnes | 44785.4 | 51695.3 | 39 | |
| Non-hazardous waste emission - Automobile glass | tonnes | 59496 | 69876.2 | 39 | |
| Non-hazardous waste emission - Float glass | tonnes | 464475.2 | 451954.9 | 39 | |
| Non-hazardous waste emission - Living areas and office buildings | tonnes | 18182.2 | 21487.1 | 39 | |
| Non-hazardous waste emission - Total | tonnes | 586938.8 | 595013.5 | 39 | |
| Non-hazardous waste emission density - Architectural glass | kg/tonne | 97.9202 | 103.6276 | 39 | |
| Non-hazardous waste emission density - Automobile glass | kg/m2 | 0.966 | 1.1575 | 39 | |
| Non-hazardous waste emission density - Float glass | kg/tonne | 54.1126 | 51.5023 | 39 | |
| Waste fluorescent lamp produced in one industrial park | tonne | 0.024 | 37 | ||
| non-hazardous wastes emissions density of float glass | decreased | 25 | |||
| non-hazardous wastes emissions density of float glass, automobile glass, architectural glass | % decrease | 1 | 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).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Change in total energy consumption compared to previous year | % | -5.1 | 43 | ||
| Consumption density (Architectural glass) | MWh/tonne | 0.4507 | 0.2913 | 42 | |
| Consumption density (Automobile glass) | MWh/m² | 0.0061 | 0.0054 | 42 | |
| Consumption density (Float glass) | MWh/tonne | 2.1518 | 2.0071 | 42 | |
| Direct electricity consumption | GWh | 788 | 43 | ||
| Electricity – direct energy consumption (Architectural glass) | GWH | 1.5 | 3.7 | 42 | |
| Electricity – direct energy consumption (Automobile glass) | GWH | 26.1 | 25.8 | 42 | |
| Electricity – direct energy consumption (Float glass) | GWH | 744 | 753.7 | 42 | |
| Electricity – direct energy consumption (Living areas and office buildings) | GWH | 1.8 | 4.8 | 42 | |
| Electricity – direct energy consumption (Total) | GWH | 773.4 | 788 | 42 | |
| Electricity – purchased electricity (Architectural glass) | GWH | 204.3 | 140.8 | 42 | |
| Electricity – purchased electricity (Automobile glass) | GWH | 351.7 | 298.2 | 42 | |
| Electricity – purchased electricity (Float glass) | GWH | 446.8 | 449.2 | 42 | |
| Electricity – purchased electricity (Living areas and office buildings) | GWH | 22.5 | 18.8 | 42 | |
| Electricity – purchased electricity (Total) | GWH | 1025.3 | 907 | 42 | |
| Fuel oil consumption (Architectural glass) | GWH | 0.3 | 0.8 | 42 | |
| Fuel oil consumption (Automobile glass) | GWH | 1 | 1 | 42 | |
| Fuel oil consumption (Float glass) | GWH | 17.5 | 18.3 | 42 | |
| Fuel oil consumption (Living areas and office buildings) | GWH | 0.1 | 0.1 | 42 | |
| Fuel oil consumption (Total) | GWH | 18.9 | 20.2 | 42 | |
| Natural gas consumption (Float glass) | GWH | 17261.7 | 16391.7 | 42 | |
| Natural gas consumption (Living areas and office buildings) | GWH | 0.3 | 42 | ||
| Natural gas consumption (Total) | GWH | 17262 | 16391.7 | 42 | |
| Purchased electricity | GWh | 972.7 | 43 | ||
| Total energy consumption | GWh | 18106.9 | 43 | ||
| Total energy consumption (Architectural glass) | GWH | 206.1 | 145.3 | 42 | |
| Total energy consumption (Automobile glass) | GWH | 378.8 | 325 | 42 | |
| Total energy consumption (Float glass) | GWH | 18470 | 17612.9 | 42 | |
| Total energy consumption (Living areas and office buildings) | GWH | 24.7 | 23.7 | 42 | |
| Total energy consumption (Total) | GWH | 19079.6 | 18106.9 | 42 | |
| energy consumption density of float glass, automobile glass, architectural glass | % decrease | decreased | 1 | 25 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Consumed water recycled through recirculating cooling water system | thousand tonnes | 361884 | 45 | ||
| Total water consumption - Architectural glass | thousand tonne | 668.2 | 358.6 | 45 | |
| Total water consumption - Automobile glass | thousand tonne | 931.9 | 413.8 | 45 | |
| Total water consumption - Float glass | thousand tonne | 12822.8 | 11414.1 | 45 | |
| Total water consumption - Living areas and office buildings | thousand tonne | 1395.2 | 995.2 | 45 | |
| Total water consumption - Total | thousand tonne | 15818.1 | 13181.7 | 45 | |
| Water consumption density - Architectural glass | tonne/tonne | 1.4609 | 0.7189 | 45 | |
| Water consumption density - Automobile glass | tonne/m² | 0.0151 | 0.0069 | 45 | |
| Water consumption density - Float glass | tonne/tonne | 1.4939 | 1.301 | 45 | |
| water consumption density of float glass, automobile glass, architectural glass | % decrease | decreased | 1 | 25 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Electricity saved by switching off 630kW centrifuge in industrial park | kWh per day, kWh per month | 360000 | 34 |
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 | Report Pages |
|---|---|---|---|
| Water treated by sewage treatment system | thousand tonnes | 2261 | 45 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2021 | 2022 | Report Pages |
|---|---|---|---|---|
| Packing wooden cases used in industrial parks - Architectural glass consumption | thousand tonne | 21 | 26.1 | 47 |
| Packing wooden cases used in industrial parks - Architectural glass consumption density | tonne/tonne | 0.046 | 0.0524 | 47 |
| Packing wooden cases used in industrial parks - Automobile glass consumption | thousand tonne | 51.2 | 41.3 | 47 |
| Packing wooden cases used in industrial parks - Automobile glass consumption density | tonne/m² | 0.0008 | 0.0007 | 47 |
| Packing wooden cases used in industrial parks - Float glass consumption | thousand tonne | 26 | 30.7 | 47 |
| Packing wooden cases used in industrial parks - Float glass consumption density | tonne/tonne | 0.003 | 0.0035 | 47 |
| Packing wooden cases used in industrial parks - Total consumption | thousand tonne | 98.2 | 98.1 | 47 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Industrial park area | m² | 7616216 | 8 |
| Production capacity of architectural glass | million tonnes | 0.58 | 8 |
| Production capacity of automobile glass (aftermarket) | million pieces | 26.75 | 8 |
| Production capacity of float glass | million tonnes | 8.8 | 8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Employees by age: 20 or below | % | 2 | 52 |
| Employees by age: 21-30 | % | 21 | 52 |
| Employees by age: 31-40 | % | 25 | 52 |
| Employees by age: 41-50 | % | 16 | 52 |
| Employees by age: 51-60 | % | 7 | 52 |
| Employees by geographical region: Local | % | 40 | 52 |
| Employees by geographical region: Non-local | % | 60 | 52 |
| Female employees as percentage of total employees | % | 12 | 51 |
| Male employees as percentage of total employees | % | 88 | 51 |
| Number of employees | persons | 15068 | 8 |
| Number of employees benefitted by Caring Fund | employees | 194 | 73 |
| Operating revenue | HK$billion | 25.75 | 8 |
| Percentage of female employees accredited with titles (of respective gender) | % | 10 | 53 |
| Percentage of female employees who are senior management or accredited with titles (of female employees from senior management) | % | 14 | 53 |
| Percentage of male employees accredited with titles (of respective gender) | % | 8 | 53 |
| Proportion of employees aged 31-40 | percent | 41 | 50 |
| Proportion of female employees | percent | 12 | 50 |
| Proportion of local employees | percent | 40 | 50 |
| Proportion of male employees | percent | 88 | 50 |
| Proportion of non-local employees | percent | 60 | 50 |
| Proportion of non-local employees vs local employees | % higher | 3 | 53 |
| Shenzhen Top 500 Enterprise (Ranked No. 43) | rank | 43 | 79 |
| Total assets | HK$billion | 52.23 | 8 |
| Total number of employees | 15068 | 50 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Employees' turnover rate by geographical region: Local | % | 25 | 52 |
| Employees' turnover rate by geographical region: Non-local | % | 29 | 52 |
| Full-year employee turnover rate | percent | 27 | 50 |
| Turnover rate by age: 20 or below | % | 79 | 52 |
| Turnover rate by age: 21-30 | % | 50 | 52 |
| Turnover rate by age: 31-40 | % | 41 | 52 |
| Turnover rate by age: 41-50 | % | 29 | 52 |
| Turnover rate by age: 51-60 | % | 7 | 52 |
| Turnover rate of female employees | % | 24 | 51 |
| Turnover rate of male employees | % | 27 | 51 |
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 |
|---|---|---|---|---|---|
| General fire and explosion accident | No | 48 | |||
| Serious factory vehicle accident | No | 48 | |||
| Serious pollution and poisonous and hazardous gas leakage accident | No | 48 | |||
| Work-related fatalities | persons | 0.015% | 0.014% | 0.007% | 67 |
Lost days due to work injury.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Workdays lost due to work-related injuries | days | 5255 | 67 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Canteen section questionnaire score (2022) | above target score of satisfactory level | 53 | |
| Number of contingency drills held during Safety Production Month | 300 | 64 | |
| Number of hidden danger issues discovered and inspected during Safety Production Month | 1332 | 64 | |
| Number of hidden danger issues rectified during Safety Production Month | 1332 | 64 | |
| Number of people participated in contingency drills during Safety Production Month | 9500 | 64 | |
| Pass rate of work safety standardisation certification on float glass systems | % | 50 | 48 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of employees trained on integrity system learning and whistle-blowing | 2800 | 72 | |
| Percentage of employees accredited with titles | % | 8 | 53 |
| Percentage of employees trained | 100% | 58 | |
| Specialised New Small and Medium Enterprise award received | award | 1 | 78 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Annual cost for training | million RMB | 1.92 | 58 |
| Average number of training hours per employee | hours | 8.4 | 58 |
| Total number of training hours | hours | 126667 | 58 |
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 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|
| Excellent Cooperation Unit award received | award | 1 | 78 | |
| Green loans approved throughout the year | HK$ billion | 7.43 | 21 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Products to be recalled due to quality (in terms of quantity) | % of products sold | 0.09 | 68 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| All complaints received by the Group | total | 6723 | 68 |
| Gross profit | HK$billion | 8.69 | 8 |
| Net asset value | HK$billion | 32.09 | 8 |
| Overall questionnaire scores for 2022 (all sections scoring 80 or above except canteen section) | 80 | 53 | |
| Preferred Brand of Architectural Glass award received | award | 1 | 78 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of patents successfully applied for | patents | 1028 | 69 |
| Year-on-year increase in number of patents applied for | 22.5% | 69 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Proportion of subsidiaries of Xinyi Glass passing ISO9001 quality management system certification | % | 100% | 70 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of integrity trainings for key positions | 30 | 72 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019–2020 | 2022 | Report Pages |
|---|---|---|---|---|
| Champion of Seed Enterprise of Individual Event award received | award | 1 | 78 | |
| Dongguan City Benefit Contribution Award 2021 received | award | 1 | 78 | |
| Green related loans obtained from various banks | HK$ billion | 6.3 | 21 | |
| Heshan Charity Special Contribution Award 2021 received | award | 1 | 78 | |
| Jiangmen Rhododendron Charity Donation Special Contribution Award 2021 received | award | 1 | 78 | |
| Outstanding Contribution Award received | award | 1 | 78 | |
| Top 20 Tax Contribution Enterprise of 2021 award received | award | 1 | 78 | |
| Top 30 Industrial Enterprise of 2021 award received | award | 1 | 78 | |
| Xinshan Wood foundation donation for rural revitalization work | RMB | 970000 | 73 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Amount paid by Xinyi Education Fund | million RMB | 1.66 | 54 |
| Caring Fund donation | RMB million | 1.37 | 73 |
| Charity donation | HK$million | 9.837 | 8 |
| Group's charitable donations | HK$ million | 9.837 | 73 |
| Hours participating in community activities | hours | 404 | 73 |
| Number of eligible children of employees benefitted by Xinyi Education Fund | 416 | 54 | |
| Number of employees participating in community activities | 102 | 73 | |
| Xinshan Wood investment | RMB million | 50 | 73 |
| Xinshan Wood output value | RMB million | 70 | 73 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2021 | 2022 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 201 | 159 |
| NOₓ Emissions | tonnes | 4252 | 4105 |
| SOₓ Emissions | tonnes | 1812 | 2019 |
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) | tonnes carbon dioxide equivalent | 5372149 | 5430402 |
| Indirect Energy Emissions (Scope 2) | tonnes carbon dioxide equivalent | 658538 | 527600 |
| Total GHG Emissions | tonnes carbon dioxide equivalent | 6030688 | 5958002 |
| Total GHG Emissions Intensity (By Product Weight) | tonnes carbon dioxide equivalent/tonne | 0.6562 | 0.6416 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 |
|---|---|---|---|
| Hazardous Waste (Office) | tonnes | 0.4 | 1.2 |
| Total Hazardous Waste | tonnes | 626.6 | 622.6 |
| Total Hazardous Waste Intensity (By Area) | kg/m2 | 0.001 | 0.0037 |
| Total Hazardous Waste Intensity (By Product Weight) | kg/tonne | 0.2932 | 0.2224 |
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 |
|---|---|---|---|
| Glass Waste | tonnes | 570756.6 | 573526.4 |
| Non-Hazardous Waste (Office Waste) | tonnes | 18182.2 | 21487.1 |
| Total Non-Hazardous Waste Intensity (By Area) | kg/m2 | 0.966 | 1.1575 |
| Total Non-Hazardous Waste Intensity (By Product Weight) | kg/tonne | 54.1126 | 51.5023 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | kg/tonne | 97.9202 | 103.6276 |
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 | 2023 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area per Year) | MWh/m² | 2.4143 | ||
| Energy Consumption Intensity (By Unit Product) | MWh/m² | 0.4507 | 2.0071 | 1 |
| Fossil Fuel Consumption | GWh | 17280.9 | 16411.9 | |
| Heating Oil Consumption | GWh | 18.9 | 20.2 | |
| Natural Gas Consumption | GWh | 17262 | 16391.7 | |
| Purchased Electricity | GWh | 1025.3 | 972.7 | |
| Total Direct Energy Consumption | GWh | 773.4 | 788 | |
| Total Energy Consumption | GWh | 19079.6 | 18106.9 | |
| Total Indirect Energy Consumption | GWh | 1025.3 | 907 | |
| Total Non-Renewable Fuel Consumption | GWh | 17280.9 | 16411.9 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 |
|---|---|---|---|
| Recycled Water Usage | thousand tonnes | 361884 | |
| Water Consumption | thousand tonne | 15818.1 | 13181.7 |
| Water Consumption in Office | thousand tonne | 1395.2 | 995.2 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh per month | 360000 |
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 | 2022 |
|---|---|---|
| Wastewater Reduction Compared to Last Year | thousand tonnes | None |
| Wastewater Reduction Percentage Compared to Last Year | % | None |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2021 | 2022 |
|---|---|---|---|
| Usage of Packaging Materials (Wood) | thousand tonne | 98.2 | 98.1 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Total Employees | persons | 15068 |
| Percentage of Employees Aged 30-50 | % | 41 |
| Percentage of Employees Aged Above 50 | % | 7 |
| Percentage of Employees Aged Below 30 | % | 23 |
| Percentage of Employees in Hong Kong | % | 40 |
| Percentage of Employees in Mainland China | % | 60 |
| Percentage of Female Employees | % | 12 |
| Percentage of Male Employees | % | 88 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 35 |
| Turnover Rate of Employees Aged Above 50 | % | 3.5 |
| Turnover Rate of Employees Aged Below 30 | % | 50 |
| Turnover Rate of Female Employees | % | 24 |
| Turnover Rate of Male Employees | % | 27 |
| Turnover Rate of Total Employees | % | 27 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Work-related Fatalities | persons | 2 | 2 | 1 |
| Work-related Fatalities Rate | % | 0.015 | 0.014 | 0.007 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 5255 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of People Receiving Training on Work Safety | 9500 | |
| Number of Production Safety Emergency Drills | 300 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Percentage of Trained Female Employees | % | 11 |
| Percentage of Trained General Employees | % | 92.6 |
| Percentage of Trained Male Employees | % | 89 |
| Percentage of Trained Senior Management | % | 0.1 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Average Training Hours (Female) | hours | 9.7 |
| Average Training Hours (Male) | hours | 8.5 |
| Average Training Hours (Senior Management) | hours | 1.6 |
| Average Training Hours per Employee | hours | 8.4 |
| Total Training Hours | hours | 126667 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Suppliers in Asia (Excluding China) | % | 0.55 |
| Number of Suppliers in Central China | % | 8 |
| Number of Suppliers in East China | % | 43 |
| Number of Suppliers in Europe | % | 0.4 |
| Number of Suppliers in North America | % | 0.2 |
| Number of Suppliers in North China | % | 5 |
| Number of Suppliers in Northwest China | % | 2.7 |
| Number of Suppliers in Oceania | % | 0.1 |
| Number of Suppliers in South America | % | 0.1 |
| Number of Suppliers in South China | % | 35 |
| Number of Suppliers in Southwest China | % | 5 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Recalled Products for Safety and Health Reasons | % of products sold | 0.09 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Total Number of Customer Complaints | total | 6723 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Patents Granted | patents | 1028 |
Description of quality assurance process and recall procedures.
| Standard Indicator | Unit | 2021 |
|---|---|---|
| Passing Rate of Third-party Accreditation Performed under the Quality Management System | % | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Anti-corruption Training Session | 30 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Investment in Education Donation | million RMB | 1.66 |
| Number of Employees Participating in Volunteer Activities | 102 | |
| Total Public Welfare Donations | HK$ million | 1.37 |
| Total Social Investment | million RMB | 1.66 |
| Total Volunteer Service Hours | hours | 404 |