SUSTAINABILITY REPORT 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Hydrochloric acid | tonne | 344 | 458 | 59 | |
| Nitrogen oxides (NOx) emissions | tonne | 1374 | 2348 | 3178 | 58 |
| Particulate matter (PM) emissions | tonne | 46 | 69 | 67 | 58 |
| Sulphur dioxide (SO2) emissions | tonne | 228 | 237 | 297 | 58 |
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 | Report Pages |
|---|---|---|---|---|---|
| CO2 emissions offset by green electricity | tonnes | 2809524 | 11 | ||
| GHG Intensity (tonne CO2 equivalent/tonne of MSW processed) | tonne CO2 equivalent/tonne MSW | 0.755 | 34 | ||
| GHG intensity | tonne CO2e/tonne of MSW processed | 0.643 | 0.787 | 0.755 | 58 |
| Net GHG Emissions | tonne CO2 equivalent | 1653232 | 34 | ||
| Net GHG Intensity (tonne CO2 equivalent/tonne of MSW processed) | tonne CO2 equivalent/tonne MSW | 0.28 | 34 | ||
| Net GHG emissions | tonne CO2e | 1010138 | 1606893 | 1653232 | 58 |
| Net GHG intensity | tonne CO2e/tonne of MSW processed | 0.286 | 0.324 | 0.28 | 58 |
| Scope 1 (Direct Emissions) | tonne CO2 equivalent | 4459286 | 34 | ||
| Scope 1 (Direct Emissions) GHG emissions | tonne CO2e | 2163801 | 3900993 | 4459286 | 58 |
| Scope 2 (Energy Indirect Emissions) | tonne CO2 equivalent | 3222 | 34 | ||
| Scope 2 (Energy Indirect Emissions) GHG emissions | tonne CO2e | 101230 | 2463 | 3222 | 58 |
| Scope 3 (Other Indirect Emissions) | tonne CO2 equivalent | 248 | 34 | ||
| Scope 3 (Other Indirect Emissions) GHG emissions | tonne CO2e | 158 | 117 | 248 | 58 |
| Total GHG Emissions | tonne CO2 equivalent | 4462756 | 34 | ||
| Total GHG emissions | tonne CO2e | 2265189 | 3903573 | 4462756 | 58 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Activated carbon | tonne | 1471 | 2249 | 2667 | 59 |
| Fly ash produced | tonne | 57085 | 92264 | 117300 | 60 |
| Hazardous Waste (Fly Ash) generated | tonnes | 117300 | 29 | ||
| Hazardous Waste (Fly Ash) intensity | tonnes/MWh of electricity sold | 0.057 | 29 | ||
| Increase in daily MSW processing capacity of Beiliu WTE plant, Guangxi | tonnes | 350 | 18 | ||
| Leachate produced | tonne | 273735 | 431015 | 692505 | 60 |
| Raw leachate treated | tonnes | 692505 | 29 | ||
| Sodium bicarbonate | tonne | 100 | 183 | 59 |
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 | Report Pages |
|---|---|---|---|---|---|
| Bottom ash produced | tonne | 691045 | 1030569 | 1194373 | 60 |
| Daily MSW processing capacity of Beiliu WTE plant, Guangxi | tonnes | 1050 | 18 | ||
| Daily MSW processing capacity of all operating, secured and announced projects | tonnes | 45640 | 18 | ||
| MSW processed | tonne | 3527221 | 4959040 | 5911952 | 57 |
| Non-hazardous Waste (Bottom Ash) generated | tonnes | 1194373 | 29 | ||
| Non-hazardous Waste (Bottom Ash) intensity | tonnes/MWh of electricity sold | 0.579 | 29 | ||
| PNCR material | tonne | 436 | 59 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| COD discharge reduction from leachate treatment | tonnes | 23852 | 29 | ||
| Financial cost | HK$'000 | 105572 | 169990 | 204183 | 57 |
| GHG Emissions Offset | tonne CO2 equivalent | 2809524 | 34 | ||
| GHG emissions offset | tonne CO2e | 1255051 | 2296680 | 2809524 | 58 |
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 | Report Pages |
|---|---|---|---|---|---|
| Electricity | GJ | 620378 | 867603 | 1061556 | 59 |
| Energy intensity | GJ/tonne of MSW processed | 0.182 | 0.182 | 0.191 | 59 |
| From non-renewable sources | GJ | 16128 | 19010 | 59 | |
| From renewable sources | GJ | 851475 | 1042546 | 59 | |
| Fuel oil consumption | GJ | 11396 | 14299 | 29574 | 58 |
| Green electricity sold | MWh | 2062642 | 11 | ||
| Lime | tonne | 17862 | 30313 | 41487 | 59 |
| Natural gas consumption | GJ | 9987 | 20764 | 35213 | 58 |
| Percentage of non-renewable energy consumed | % | 6 | 7 | 59 | |
| Percentage of renewable energy connection to grid | % | 100 | 100 | 100 | 57 |
| Percentage of renewable energy generated | % | 100 | 100 | 100 | 57 |
| Power generated | MWh | 1452328 | 2028726 | 2355931 | 57 |
| Power sold | MWh | 1272904 | 1779716 | 2062642 | 57 |
| Total energy consumed | GJ | 641761 | 902666 | 1126343 | 59 |
| Urea | tonne | 2136 | 4612 | 5647 | 59 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Ammonia water | tonne | 1603 | 2198 | 6079 | 59 |
| Freshwater intensity | m³/MWh | 5.012 | 4.624 | 4.593 | 60 |
| Total freshwater consumption | m³ | 6380293 | 8230218 | 9474384 | 60 |
| Treated effluents reclaimed | 89% | 29 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Coagulant & flocculant | tonne | 110 | 273 | 59 |
| Percentage of renewable energy consumed | % | 94 | 93 | 59 |
| Standard coal saved by green electricity | tonnes | 630006 | 11 |
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 | Reporting Period | Report Pages |
|---|---|---|---|
| Percentage of treated wastewater reused | % | 89 | 11 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Employee Total Entry (30 years old or below) | 79 | 42 | |||
| Employee Total Entry (31–50 years old) | 75 | 42 | |||
| Employee Total Entry (Ethnic minorities) | 12 | 42 | |||
| Employee Total Entry (Female) | 34 | 42 | |||
| Employee Total Entry (Guangdong) | 80 | 42 | |||
| Employee Total Entry (Guangxi) | 25 | 42 | |||
| Employee Total Entry (Guizhou) | 15 | 42 | |||
| Employee Total Entry (Han ethnicity) | 153 | 42 | |||
| Employee Total Entry (Hong Kong) | 3 | 42 | |||
| Employee Total Entry (Jiangxi) | 42 | 42 | |||
| Employee Total Entry (Male) | 131 | 42 | |||
| Employee Total Entry (Over 50 years old) | 10 | 42 | |||
| Number of female employees due to return to work after taking maternity/paternity leave | 14 | 44 | |||
| Number of female employees entitled to maternity/paternity leave | 219 | 44 | |||
| Number of female employees who returned to work after maternity/paternity leave ended | 12 | 44 | |||
| Number of female employees who returned to work after maternity/paternity leave ended in 2018 and still employed by end of 2019 | 10 | 44 | |||
| Number of female employees who took maternity/paternity leave | 18 | 44 | |||
| Number of full-time permanent staff | No. | 817 | 939 | 1095 | 61 |
| Number of full-time permanent staff, 30 years old or below | No. | 277 | 284 | 338 | 61 |
| Number of full-time permanent staff, 31–50 years old | No. | 515 | 601 | 679 | 61 |
| Number of full-time permanent staff, Ethnic minorities | No. | 111 | 61 | ||
| Number of full-time permanent staff, Female | No. | 155 | 178 | 219 | 61 |
| Number of full-time permanent staff, General and technical staff | No. | 748 | 869 | 1004 | 61 |
| Number of full-time permanent staff, Guangdong | No. | 614 | 633 | 691 | 61 |
| Number of full-time permanent staff, Guangxi | No. | 92 | 190 | 194 | 61 |
| Number of full-time permanent staff, Guizhou | No. | 91 | 89 | 93 | 61 |
| Number of full-time permanent staff, Han ethnicity | No. | 984 | 61 | ||
| Number of full-time permanent staff, Hong Kong | No. | 20 | 27 | 29 | 61 |
| Number of full-time permanent staff, Jiangxi | No. | 88 | 61 | ||
| Number of full-time permanent staff, Male | No. | 662 | 761 | 876 | 61 |
| Number of full-time permanent staff, Middle-level management | No. | 42 | 43 | 64 | 61 |
| Number of full-time permanent staff, Over 50 years old | No. | 25 | 54 | 78 | 61 |
| Number of full-time permanent staff, Senior management | No. | 27 | 27 | 27 | 61 |
| Number of male employees due to return to work after taking maternity/paternity leave | 68 | 44 | |||
| Number of male employees entitled to maternity/paternity leave | 876 | 44 | |||
| Number of male employees who took maternity/paternity leave | 68 | 44 | |||
| Ratio of standard entry-level wage to local minimum wage in Guangdong: Female | 2.32 | 43 | |||
| Ratio of standard entry-level wage to local minimum wage in Guangdong: Male | 3.24 | 43 | |||
| Ratio of standard entry-level wage to local minimum wage in Guangxi: Female | 2.07 | 43 | |||
| Ratio of standard entry-level wage to local minimum wage in Guangxi: Male | 2.76 | 43 | |||
| Ratio of standard entry-level wage to local minimum wage in Guizhou: Female | 1.85 | 43 | |||
| Ratio of standard entry-level wage to local minimum wage in Guizhou: Male | 2.27 | 43 | |||
| Ratio of standard entry-level wage to local minimum wage in Jiangxi: Female | 1.96 | 43 | |||
| Ratio of standard entry-level wage to local minimum wage in Jiangxi: Male | 2.92 | 43 | |||
| Retained for Canvest’s sustainable operation and development | HK$'000 | 716774 | 990822 | 1110528 | 57 |
| Staff costs | HK$'000 | 153787 | 228395 | 304442 | 57 |
| Total Workforce | employees | 1095 | 39 | ||
| Total Workforce by Age Group - 30 years old or below | employees | 679 | 39 | ||
| Total Workforce by Age Group - 31–50 years old | employees | 338 | 39 | ||
| Total Workforce by Age Group - Over 50 years old | employees | 78 | 39 | ||
| Total Workforce by Employee Category - General and technical staff | employees | 1004 | 39 | ||
| Total Workforce by Employee Category - Middle-level management | employees | 64 | 39 | ||
| Total Workforce by Employee Category - Senior management | employees | 27 | 39 | ||
| Total Workforce by Gender - Female | employees | 219 | 39 | ||
| Total Workforce by Gender - Male | employees | 876 | 39 | ||
| Total Workforce by Region - Guangdong | employees | 691 | 39 | ||
| Total Workforce by Region - Guangxi | employees | 194 | 39 | ||
| Total Workforce by Region - Guizhou | employees | 93 | 39 | ||
| Total Workforce by Region - Hong Kong | employees | 29 | 39 | ||
| Total Workforce by Region - Jiangxi | employees | 88 | 39 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee Total Turnover (30 years old or below) | 60 | 42 | |
| Employee Total Turnover (31–50 years old) | 70 | 42 | |
| Employee Total Turnover (Ethnic minorities) | 11 | 42 | |
| Employee Total Turnover (Female) | 26 | 42 | |
| Employee Total Turnover (Guangdong) | 74 | 42 | |
| Employee Total Turnover (Guangxi) | 26 | 42 | |
| Employee Total Turnover (Guizhou) | 12 | 42 | |
| Employee Total Turnover (Han ethnicity) | 133 | 42 | |
| Employee Total Turnover (Hong Kong) | 1 | 42 | |
| Employee Total Turnover (Jiangxi) | 31 | 42 | |
| Employee Total Turnover (Male) | 118 | 42 | |
| Employee Total Turnover (Over 50 years old) | 14 | 42 | |
| Number of male employees who returned to work after maternity/paternity leave ended | 68 | 44 | |
| Number of male employees who returned to work after maternity/paternity leave ended in 2018 and still employed by end of 2019 | 31 | 44 | |
| Retention rate for female employees after maternity/paternity leave | % | 83.33 | 44 |
| Retention rate for male employees after maternity/paternity leave | % | 91.18 | 44 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of high-consequence work-related injuries (excluding fatalities) (Employees/Contractors) | 0/1 | 48 | |||
| Number of occupational disease cases (Employees/Contractors) | 0/0 | 48 | |||
| Number of work-related fatalities (Employees/Contractors) | 0/0 | 48 | |||
| Number of work-related injuries | No. | 5 | 2 | 62 | |
| Number of work-related injuries (Employees/Contractors) | 0/2 | 48 | |||
| Rate of high-consequence work-related injuries (excluding fatalities) (Employees/Contractors) | 0/0.04 | 48 | |||
| Rate of work-related fatalities (Employees/Contractors) | 0/0 | 48 | |||
| Rate of work-related injuries | Figures not available | 0.22 | 62 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work-related injuries | Days | 705 | 52 | 62 | |
| Number of days lost due to work-related injuries (Employees/Contractors) | days | 0/212 | 48 | ||
| Rate of work-related injuries (Employees/Contractors) | 0/0.09 | 48 | |||
| Total working hours - Employees of Canvest | hours | 2135834 | 48 | ||
| Total working hours - Third-Party Contractors Working on Site | hours | 4632446 | 48 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Return to work rate for female employees after maternity/paternity leave | % | 85.71 | 44 |
| Return to work rate for male employees after maternity/paternity leave | % | 100 | 44 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Percentage of Employees Trained (Female) | % | 59 | 46 |
| Percentage of Employees Trained (General and technical staff) | % | 75 | 46 |
| Percentage of Employees Trained (Male) | % | 81 | 46 |
| Percentage of Employees Trained (Middle-level management) | % | 95 | 46 |
| Percentage of Employees Trained (Senior management) | % | 70 | 46 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average Training Hours per Employee (Female) | hours | 9.61 | 46 |
| Average Training Hours per Employee (General and technical staff) | hours | 24.58 | 46 |
| Average Training Hours per Employee (Male) | hours | 28.14 | 46 |
| Average Training Hours per Employee (Middle-level management) | hours | 22.48 | 46 |
| Average Training Hours per Employee (Senior management) | hours | 23.63 | 46 |
| Average training hours per employee (overall) | hours | 24 | 46 |
| Total training hours provided | hours | 26760 | 46 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Share of net profits of associates and a joint venture | HK$'000 | 32004 | 54770 | 57 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Profit attributable to non-controlling interest | HK$'000 | -9 | -571 | 57 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Community investment by themes: Community Engagement | % | 28 | 49 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Charitable donations | HK$'000 | 2200 | 800 | 1600 | 57 |
| Community Outreach - Participated volunteers | No. | Figures not available | 491 | 599 | 63 |
| Community Outreach - Voluntary hours | Hours | Figures not available | 1580 | 2516 | 63 |
| Community investment by region: Guangdong | % | 94 | 49 | ||
| Community investment by region: Guangxi | % | 5 | 49 | ||
| Community investment by region: Guizhou | % | 1 | 49 | ||
| Community investment by themes: Arts & Culture | % | 6 | 49 | ||
| Community investment by themes: Community Infrastructure Projects | % | 66.0 | 49 | ||
| Number of visitors to WTE plants | 32645 | 49 | |||
| Number of volunteer hours | hours | 2516 | 49 | ||
| Other income | HK$'000 | 106596 | 130290 | 155317 | 57 |
| Revenue | HK$'000 | 2397531 | 3325894 | 3952216 | 57 |
| Taxes (current income tax, excludes deferred tax) | HK$'000 | 33972 | 32205 | 64547 | 57 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonne | 46 | 69 | 67 |
| NOâ‚“ Emissions | tonne | 1374 | 2348 | 3178 |
| SOâ‚“ Emissions | tonne | 228 | 237 | 297 |
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 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne CO2e | 2163801 | 3900993 | 4459286 |
| Indirect Energy Emissions (Scope 2) | tonne CO2e | 101230 | 2463 | 3222 |
| Total GHG Emissions | tonne CO2e | 2265189 | 3903573 | 4462756 |
| Total GHG Emissions Intensity (By Product Weight) | tonne CO2e/tonne of MSW processed | 0.643 | 0.787 | 0.755 |
| Total Other Indirect Energy Emissions (Scope 3) | tonne CO2e | 158 | 117 | 248 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Hazardous Waste | tonnes | 117300 |
| Total Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.057 |
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 |
|---|---|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | tonne | 3527221 | 4959040 | 5911952 |
| Non-Hazardous Waste Disposed | tonne | 691045 | 1030569 | 1194373 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.579 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| COD Emissions Reduction Compared to Last Year | tonnes | 23852 |
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 |
|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % |
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 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Unit Product) | GJ/tonne of MSW processed | 0.182 | 0.182 | 0.191 |
| Natural Gas Consumption | GJ | 9987 | 20764 | 35213 |
| Percentage of Renewable Energy Consumption | % | 100 | 94 | 93 |
| Renewable Energy Consumption | GJ | 851475 | 1042546 | |
| Sold Electricity | MWh | 1272904 | 1779716 | 2062642 |
| Total Energy Consumption | GJ | 641761 | 902666 | 1126343 |
| Total Non-Renewable Fuel Consumption | GJ | 11396 | 16128 | 19010 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Recycled Water Percentage | % | 89 | ||
| Water Consumption | m³ | 6380293 | 8230218 | 9474384 |
| Water Consumption Intensity (By Revenue) | m³/MWh | 5.012 | 4.624 | 4.593 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | No. | 515 | 601 | 679 |
| Number of Employees Aged Above 50 | No. | 25 | 54 | 78 |
| Number of Employees Aged Below 30 | No. | 277 | 284 | 338 |
| Number of Employees in Hong Kong | No. | 20 | 27 | 29 |
| Number of Employees in Mainland China | No. | 1066 | ||
| Number of Female Employees | No. | 155 | 178 | 219 |
| Number of Full-time Employees | No. | 817 | 939 | 1095 |
| Number of General Employees | No. | 748 | 869 | 1004 |
| Number of Male Employees | No. | 662 | 761 | 876 |
| Number of Middle Management Employees | No. | 42 | 43 | 64 |
| Number of New Employees | No. | 224 | ||
| Number of New Employees (Above 50) | No. | 10 | ||
| Number of New Employees (Aged 30-50) | No. | 75 | ||
| Number of New Employees (Aged Below 30) | No. | 79 | ||
| Number of New Employees (Female) | No. | 34 | ||
| Number of New Employees (Hong Kong) | No. | 3 | ||
| Number of New Employees (Mainland China) | No. | 221 | ||
| Number of New Employees (Male) | No. | 131 | ||
| Number of Senior Management Employees | No. | 27 | 27 | 27 |
| Number of Total Employees | No. | 817 | 939 | 1095 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Employees still Employed 12 Months after Return to Work (Male) | 31 | |
| Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 83.33 |
| Percentage of Employees still Employed 12 Months after Return to Work (Male) | % | 91.18 |
| Turnover Rate of Employees Aged 30-50 | % | 6.39 |
| Turnover Rate of Employees Aged Above 50 | % | 1.28 |
| Turnover Rate of Employees Aged Below 30 | % | 5.48 |
| Turnover Rate of Employees in Hong Kong | % | 0.27 |
| Turnover Rate of Female Employees | % | 2.37 |
| Turnover Rate of Male Employees | % | 10.78 |
Lost days due to work injury.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Days | 705 | 52 | |
| Lost Working Days Due to Work-related Injuries (Contractor) | days | 212 | ||
| Rate of Work-related Injuries | 0.22 | |||
| Rate of Work-related Injuries (Contractor) | 0.09 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 75 |
| Percentage of Trained Female Employees | % | 59 |
| Percentage of Trained General Employees | % | 75 |
| Percentage of Trained Male Employees | % | 81 |
| Percentage of Trained Middle Management | % | 95 |
| Percentage of Trained Senior Management | % | 70 |
| Percentage of Trained Technical Employees | % | 75 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours (Female) | hours | 9.61 |
| Average Training Hours (General Staff) | hours | 24.58 |
| Average Training Hours (Male) | hours | 28.14 |
| Average Training Hours (Middle Management) | hours | 22.48 |
| Average Training Hours (Senior Management) | hours | 23.63 |
| Average Training Hours per Employee | hours | 24 |
| Total Training Hours | hours | 26760 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Employees Participating in Volunteer Activities | No. | 491 | 599 |
| Total Volunteer Service Hours | Hours | 1580 | 2516 |