SUSTAINABILITY REPORT 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Nitrogen oxides (NOx) | tonne | 5320 | 6701 | 6537 | 131 |
Nitrogen oxides (NOₓ) emissions - Environmental Hygiene Services | g | 438 | 58 | ||
Nitrogen oxides (NOₓ) emissions - Headquarters | g | 20691 | 58 | ||
Nitrogen oxides (NOₓ) emissions - WTE Operation | tonnes | 6537 | 58 | ||
Nitrogen oxides (NOₓ) emissions intensity - Environmental Hygiene Services | g/million m² area served | 20 | 58 | ||
Nitrogen oxides (NOₓ) emissions intensity - WTE Operation | g/tonne of MSW processed | 488 | 58 | ||
Particulate Matter (PM) emissions - Environmental Hygiene Services | g | 32 | 58 | ||
Particulate Matter (PM) emissions - Headquarters | g | 1523 | 58 | ||
Particulate Matter (PM) emissions - WTE Operation | tonnes | 142 | 58 | ||
Particulate Matter (PM) emissions intensity - Environmental Hygiene Services | g/million m² area served | 1 | 58 | ||
Particulate Matter (PM) emissions intensity - WTE Operation | g/tonne of MSW processed | 11 | 58 | ||
Particulate matter (PM) | tonne | 132 | 145 | 142 | 131 |
Reduction in Chemical Oxygen Demand (COD) discharge | tonnes | 52739 | 62 | ||
Sulphur dioxide (SO2) | tonne | 712 | 1160 | 1201 | 131 |
Sulphur dioxide (SO₂) emissions - Environmental Hygiene Services | g | 32 | 58 | ||
Sulphur dioxide (SO₂) emissions - Headquarters | g | 552 | 58 | ||
Sulphur dioxide (SO₂) emissions - WTE Operation | tonnes | 1201 | 58 | ||
Sulphur dioxide (SO₂) emissions intensity - Environmental Hygiene Services | g/million m² area served | 1 | 58 | ||
Sulphur dioxide (SO₂) emissions intensity - WTE Operation | g/tonne of MSW processed | 90 | 58 | ||
Total Nitrogen oxides (NOₓ) emissions | tonnes | 6537 | 58 | ||
Total Particulate Matter (PM) emissions | tonnes | 142 | 58 | ||
Total Sulphur dioxide (SO₂) emissions | tonnes | 1201 | 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 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Avoided CO2e emissions | tonnes | 7485893 | 17 | ||
Avoided GHG Emissions | tCO2e | 5399653 | 6138393 | 7485893 | 90 |
CO2 equivalent emissions avoided by Operating Projects | tonnes | 7485893 | 25 | ||
CO2 equivalent emissions avoided by WTE projects (subsidiaries) | tonnes | 7485893 | 9 | ||
Other Sources | tCO2e | 5708 | 89 | ||
Scope 1 (Direct Emissions) | tCO2e | 8528186 | 89 | ||
Scope 1 (direct emissions) | tonne CO2e | 7720564 | 7381957 | 8528186 | 131 |
Scope 1 + Scope 2 Emissions | tCO2e | 8536161 | 89 | ||
Scope 2 (Energy Indirect Emissions) | tCO2e | 7975 | 89 | ||
Scope 2 (energy indirect emissions) | tonne CO2e | 2574 | 2980 | 7975 | 131 |
Scope 3 (Other Indirect Emissions) | tCO2e | 47686 | 89 | ||
Scope 3 (other indirect emissions) | tonne CO2e | 2626 | 34811 | 47686 | 131 |
Total GHG Emissions | tCO2e | 8583847 | 89 | ||
Total GHG Emissions Intensity | tCO2e/tonnes of MSW processed | 0.64 | 89 | ||
Total GHG emissions (Scope 1–3) | tonne CO2e | 7725764 | 7419748 | 8583847 | 131 |
Total GHG emissions intensity | tonne CO2e/tonne of MSW processed | 0.775 | 0.607 | 0.641 | 131 |
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 |
---|---|---|---|---|---|
Activated carbon consumption | tonne | 4786 | 6071 | 8255 | 132 |
Confiscated illicit cigarettes incinerated at Xuwen WTE Project | pieces | 27000000 | 119 | ||
Fly ash after stabilisation (hazardous waste) | tonnes | 298568 | 61 | ||
Fly ash before stabilisation (hazardous waste) | tonnes | 260281 | 61 | ||
Fly ash chelating agent consumption | tonne | 3444 | 5273 | 5910 | 132 |
Fly ash produced before stabilisation | tonne | 188712 | 238430 | 260281 | 132 |
Hazardous waste intensity | tonnes/MWh of electricity sold | 0.06 | 61 | ||
Leachate produced | tonne | 1103091 | 1537213 | 1606275 | 132 |
Metal recycled through waste sorting | kg | 406 | 59 | ||
Other hazardous waste | tonnes | 49 | 61 | ||
Raw leachate treated by Operating WTE Projects | tonnes | 1606275 | 62 | ||
Sodium bicarbonate consumption | tonne | 33 | 55 | 132 | |
Total bottom ash recycled during WTE process | tonnes | 3417613 | 52 | ||
Total hazardous waste generated | tonnes | 260330 | 61 | ||
Ultimate landfill disposal (offsite, hazardous waste) | tonnes | 194694 | 61 | ||
Ultimate landfill disposal (onsite, hazardous waste) | tonnes | 103874 | 61 | ||
Weight of confiscated illicit cigarettes incinerated at Xuwen WTE Project | tonnes | 37.3 | 119 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2021–2023 | 2021–2030 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Bottom ash (non-hazardous waste) | tonnes | 3417613 | 61 | ||||
Bottom ash as percentage of total waste generated by Canvest | % | approximately 90 | 60 | ||||
Bottom ash produced | tonne | 2070505 | 2855044 | 3417613 | 132 | ||
Energy Recovered from Food | tonnes | 2949124 | 90 | ||||
Energy Recovered from Garden Waste | tonnes | 1276081 | 90 | ||||
Energy Recovered from Glass, plastics, metal and other inert waste | tonnes | 5202818 | 90 | ||||
Energy Recovered from Paper | tonnes | 1713488 | 90 | ||||
Energy Recovered from Textiles | tonnes | 1297623 | 90 | ||||
Energy Recovered from Wood | tonnes | 952225 | 90 | ||||
Fabrics recycled through waste sorting | kg | 3576 | 59 | ||||
Glass recycled through waste sorting | kg | 129 | 59 | ||||
Incineration of MSW | tCO2e | 8522478 | 89 | ||||
MSW Processed (2021–2023) | tonnes | 35585697 | 54 | ||||
MSW Processed 2030 Target (2021–2030) | tonnes | 100000000 | 54 | ||||
MSW Processed Progress (2021–2023) | 35.59% | 54 | |||||
MSW Treated | tonnes | 9970133 | 12224205 | 13391359 | 90 | ||
MSW processed | tonne | 9970133 | 12224205 | 1391359 | 131 | ||
Municipal solid waste (MSW) treated by WTE projects (subsidiaries) | tonnes | 13391359 | 9 | ||||
Non-hazardous waste intensity | tonnes/MWh of electricity sold | 0.8 | 61 | ||||
PNCR material consumption | tonne | 31 | 5 | 6 | 132 | ||
Paper recycled through waste sorting | kg | 7776 | 59 | ||||
Plastic recycled through waste sorting | kg | 960 | 59 | ||||
Processed MSW | tonnes | 13391359 | 17 | ||||
Recycled bottom ash generated during WTE process | % | 100 | 52 | ||||
Recycling/Recovery (offsite, eco-bricks production, non-hazardous waste) | tonnes | 3417613 | 61 | ||||
Tonnage of MSW converted to electricity from Operating Projects | tonnes | 13391359 | 24 | ||||
Total non-hazardous waste generated | tonnes | 3417613 | 61 | ||||
Waste collected in 2023 - Laibin Domestic Waste Transportation Project (Guangxi, Laibin) | tonnes | 105009 | 22 | ||||
Waste collected in 2023 - Laishui Environmental Sanitation Project (Hebei, Laishui) | tonnes | 16579 | 22 | ||||
Waste collected in 2023 - Luoding City Urban-Rural MSW Transfer and Disposal Project (Guangdong, Luoding) | tonnes | 76687 | 22 | ||||
Waste collected in 2023 - Mancheng Domestic Waste Sorting Project (Hebei, Baoding) | tonnes | 446 | 22 | ||||
Waste collected in 2023 - Mancheng Urban Environmental Sanitation Operation Project (Hebei, Baoding) | tonnes | 15351 | 22 | ||||
Waste collected in 2023 - Quyang County Urban-Rural Environmental Sanitation and MSW Compression, Transfer and Processing Project (Hebei, Quyang) | tonnes | 53419 | 22 | ||||
Waste collected in 2023 - Quyang Urban Environmental Sanitation Service Project (Hebei, Quyang) | tonnes | 33834 | 22 | ||||
Waste collected in 2023 - Xinyi City Rural MSW Collection and Transfer Project (Guangdong, Xinyi) | tonnes | 126257 | 22 | ||||
Waste collected in 2023 - Yi County MSW Transfer Station Project (Hebei, Yi County) | tonnes | 45429 | 22 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2021 | 2022 | 2023 | 2030 | Report Pages |
---|---|---|---|---|---|---|
CO2 emissions under Net Zero Emissions by 2050 Scenario (NZE) | Gt | 21.1 | 81 | |||
Estimated annual emission reductions of CO2e (Yingkou WTE Project) | tonnes | 240000 | 91 | |||
Financial cost | HK$'000 | 411608 | 599784 | 657795 | 130 | |
GHG Emissions Avoidance | tCO2e | 7485893 | 89 | |||
GHG emissions avoidance | tonne CO2e | 5399653 | 6138393 | 7485893 | 131 |
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 | 2023 | Report Pages |
---|---|---|---|
Bottom ash recovery performance (collected by third parties for recycling or recovery or reused for road pavement at landfills) | % | 100 | 60 |
Number of Waste-to-Energy (WTE) projects owned by the Group | projects | 36 | 14 |
Secured Urban-Rural Environmental Sanitation and MSW Compression, Transfer and Processing Project in Quyang County, Hebei Province with contract value exceeding | billion RMB | 3 | 35 |
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 | 2021–2023 | 2021–2030 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Annual electricity consumption equivalent to households from on-grid green electricity | households | 1708906 | 24 | ||||
Cement consumption | tonne | 2168 | 951 | 1209 | 132 | ||
Electricity Consumption (Environmental Hygiene Services) - Grid-purchased Electricity | GJ | 2093.54 | 66 | ||||
Electricity Consumption (Headquarters) - Grid-purchased Electricity | GJ | 1355.05 | 66 | ||||
Electricity Consumption (Smart Car Parking Management) - Grid-purchased Electricity | GJ | 41175.86 | 66 | ||||
Electricity Consumption (WTE Operation) - Grid-purchased Electricity | GJ | 4315.19 | 66 | ||||
Electricity Consumption (WTE Operation) - Self-generated Electricity | GJ | 2273927.29 | 66 | ||||
Electricity consumption | GJ | 1835293 | 2162777 | 2322867 | 132 | ||
Energy Intensity (WTE Operation) | GJ/tonne of MSW processed | 0.18 | 66 | ||||
Energy from non-renewable sources | GJ | 14236 | 14820 | 48940 | 132 | ||
Energy from renewable sources | GJ | 1821057 | 2147957 | 2273927 | 132 | ||
Energy intensity | GJ/tonne of MSW processed | 0.201 | 0.188 | 0.188 | 132 | ||
Fuel Consumption (Environmental Hygiene Services) - Fuel oil | GJ | 77386.63 | 66 | ||||
Fuel Consumption (Headquarters) - Fuel oil | GJ | 1213.74 | 66 | ||||
Fuel Consumption (WTE Operation) - Fuel oil | GJ | 103507.41 | 66 | ||||
Fuel Consumption (WTE Operation) - Natural gas | GJ | 17030.85 | 66 | ||||
Fuel oil consumption | GJ | 143040 | 118434 | 182108 | 132 | ||
Green Electricity Sold (2021–2023) | MWh | 11647012 | 54 | ||||
Green Electricity Sold 2030 Target (2021–2030) | MWh | 35000000 | 54 | ||||
Green Electricity Sold Progress (2021–2023) | 33.28% | 54 | |||||
Green electricity sold | MWh | 4295434 | 25 | ||||
Green electricity sold by WTE projects (subsidiaries) | MWh | 4295434 | 9 | ||||
Hydrochloric acid consumption | tonne | 1429 | 1713 | 1705 | 132 | ||
Lime consumption | tonne | 65471 | 74405 | 102553 | 132 | ||
Natural gas consumption | GJ | 24538 | 20994 | 17031 | 132 | ||
Number of provinces, autonomous regions and municipalities with WTE projects | 12 | 14 | |||||
Percentage of non-renewable energy consumed | % | 9 | 7 | 10 | 132 | ||
Percentage of renewable energy connection to grid | % | 100 | 100 | 100 | 131 | ||
Percentage of renewable energy generated | % | 100 | 100 | 100 | 131 | ||
Power generated | MWh | 3919157 | 4536699 | 4925506 | 131 | ||
Power sold | MWh | 3411322 | 3940256 | 4295434 | 131 | ||
Sold green electricity | MWh | 4295434 | 17 | ||||
Standard coal conserved from power generation | tonnes | 1303235 | 25 | ||||
Steam sold by Operating Projects | tonnes | 136000 | 25 | ||||
Steam supplied | tonne | 42000 | 136000 | 131 | |||
Total Energy Consumed (Environmental Hygiene Services) | GJ | 79480.17 | 66 | ||||
Total Energy Consumed (Headquarters) | GJ | 2568.79 | 66 | ||||
Total Energy Consumed (Smart Car Parking Management) | GJ | 41175.86 | 66 | ||||
Total Energy Consumed (WTE Operation) | GJ | 2398780.74 | 66 | ||||
Total Energy Consumed of the Group | GJ | 2522005.56 | 66 | ||||
Total energy consumed | GJ | 2002871 | 2302205 | 2522006 | 132 | ||
Transmission lines (overhead) | km | 121 | 17 | ||||
Transmission lines (underground) | km | 35 | 17 | ||||
Urea consumption | tonne | 6128 | 3946 | 4167 | 132 | ||
Vehicles of the sanitation services that are electric vehicles | % | 21 | 52 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Ammonia water consumption | tonne | 8131 | 10983 | 17528 | 132 |
Direct Surface Water Withdrawal - Environmental Hygiene Services | m³ | 13816.77 | 68 | ||
Direct Surface Water Withdrawal - Total | m³ | 7742666.57 | 68 | ||
Direct Surface Water Withdrawal - WTE Operation | m³ | 7728849.8 | 68 | ||
Freshwater Consumption Intensity - WTE Operation | m³/MWh of electricity sold | 4.18 | 68 | ||
Freshwater consumption intensity | m³/MWh | 4.78 | 4.478 | 4.186 | 132 |
Groundwater Withdrawal - Total | m³ | 110179.5 | 68 | ||
Groundwater Withdrawal - WTE Operation | m³ | 110179.5 | 68 | ||
Municipal Water Supplies - Environmental Hygiene Services | m³ | 1290.84 | 68 | ||
Municipal Water Supplies - Headquarters | m³ | 2418 | 68 | ||
Municipal Water Supplies - Smart Car Parking Management | m³ | 1139.08 | 68 | ||
Municipal Water Supplies - Total | m³ | 10127823.85 | 68 | ||
Municipal Water Supplies - WTE Operation | m³ | 10122975.93 | 68 | ||
Total Freshwater Consumption - Environmental Hygiene Services | m³ | 15107.61 | 68 | ||
Total Freshwater Consumption - Headquarters | m³ | 2418 | 68 | ||
Total Freshwater Consumption - Smart Car Parking Management | m³ | 1139.08 | 68 | ||
Total Freshwater Consumption - Total | m³ | 17890669.92 | 68 | ||
Total Freshwater Consumption - WTE Operation | m³ | 17962005.23 | 68 | ||
Total freshwater consumption | m³ | 16306077 | 17645479 | 17980670 | 132 |
Total treated effluents from Operating WTE Projects | m³ | 1578639.21 | 62 | ||
Treated effluents discharged to municipal wastewater treatment systems | m³ | 261097 | 62 | ||
Treated effluents reused within WTE plants | m³ | 1317542.21 | 62 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Coagulant & flocculant consumption | tonne | 175 | 251 | 191 | 132 |
Percentage of renewable energy consumed | % | 91 | 93 | 90 | 132 |
Saved standard coal | tonnes | 1303235 | 17 | ||
Transmission loss | % | 0.36 | 17 | ||
WTE plants internal electricity consumption reduction compared to 2022 | % | 3.13 | 52 |
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 | 2023 | 2030 | 2050 | Report Pages |
---|---|---|---|---|---|
Corporate target for WTE operations to reduce freshwater consumption intensity by 2030 compared to 2021 level | % | 1 | 69 | ||
Freshwater consumption intensity reduction compared to 2022 | % | 6.52 | 52 | ||
Percentage of treated effluents reclaimed for internal use | 80% | 62 | |||
Reclaimed water reuse rate (Operating Projects) | % | over 80 | 79 | ||
Water Stress risk assessment under Business-as-Usual Scenario in 2050 (SSP3 RCP7.0) | ✓ | 72 | |||
Water Stress risk assessment under Optimistic Scenario in 2050 (SSP1 RCP2.6) | ✓ | 72 | |||
Water Stress risk assessment under Pessimistic Scenario in 2050 (SSP5 RCP8.5) | ✓ | 72 | |||
Water Stress risk under Business-as-Usual Scenario in 2050 | Low | 77 | |||
Water Stress risk under Optimistic Scenario in 2050 | Low | 77 | |||
Water Stress risk under Pessimistic Scenario in 2050 | Medium | 77 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of parking space provided - Dongguan City Nancheng District Intelligent Parking Management Project (Guangdong, Dongguan) | 1350 | 22 | |
Number of parking space provided - Huaihua City Hongjiang District Smart Parking Project (Hunan, Huaihua) | 798 | 22 | |
Number of parking space provided - Huaihua City Zhijiang County Smart Parking Management Project (Hunan, Huaihua) | 3718 | 22 | |
Number of parking space provided - Huitong County Smart Parking Project (Hunan, Huitong) | 2231 | 22 | |
Number of parking space provided - Ningxiang Smart Parking Service Operation Project (Hunan, Ningxiang) | 16841 | 22 | |
Number of parking space provided - Yingshan County Urban Parking Space Operation Concession Project (Hubei, Yingshan) | 2147 | 22 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Area of turf planted in Sowing green, sharing blue sky tree-planting activity (Dongguan and Kewei WTE Project) | square meters | 300 | 120 | |
Group listed in China Top 50 Environmental Companies by China Environment Chamber of Commerce for consecutive years | years | 3 | 35 | |
Group ranked in World Top 500 New Energy Companies by China Energy News | 253 | 35 | ||
Number of WTE projects in operation (classified as subsidiaries) | 29 | 17 | ||
Number of operational, secured, and announced WTE projects in China | 36 | 12 | ||
Number of various plants planted in Sowing green, sharing blue sky tree-planting activity (Dongguan and Kewei WTE Project) | plants | 1000 | 120 | |
Total plan area of greeneries and ponds for flood retention | m² | 367840 | 87 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Indicator | Unit | 2023 | 2050 | 2100 | Report Pages |
---|---|---|---|---|---|
Average global temperature increase above pre-industrial levels (1850–1900) | °C | 1.45 | 69 | ||
Coastal Flood Risk assessment under Optimistic Scenario in 2050 (SSP2 RCP4.5) | ✓ | 72 | |||
Coastal Flood Risk assessment under Pessimistic Scenario in 2050 (SSP2 RCP8.5, SSP3 RCP8.5) | ✓ | 72 | |||
Coastal Flood Risk under Optimistic Scenario in 2050 | Low | 77 | |||
Coastal Flood Risk under Pessimistic Scenario in 2050 | Low | 77 | |||
Number of hours of incidental operation suspension due to extreme weather events | Hours | 16 | 87 | ||
Riverine Flood Risk assessment under Optimistic Scenario in 2050 (SSP2 RCP4.5) | ✓ | 72 | |||
Riverine Flood Risk assessment under Pessimistic Scenario in 2050 (SSP2 RCP8.5, SSP3 RCP8.5) | ✓ | 72 | |||
Riverine Flood Risk under Optimistic Scenario in 2050 | Low | 77 | |||
Riverine Flood Risk under Pessimistic Scenario in 2050 | Low | 77 | |||
Total number of hours spent on climate-related emergency drills | Hours | 135 | 87 | ||
Uncertainty in average global temperature increase above pre-industrial levels (1850–1900) | °C | 0.12 | 69 | ||
Warming in 2100 compared to pre-industrial level, Business-as-Usual Scenario | °C | 2.6–4.8 | 71 | ||
Warming in 2100 compared to pre-industrial level, Optimistic Scenario | °C | <2 | 71 | ||
Warming in 2100 compared to pre-industrial level, Pessimistic Scenario | °C | 4.4 | 71 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Employee total entry by age group - 30 years old or below | persons | 2559 | 102 | ||
Employee total entry by age group - 31-50 years old | persons | 972 | 102 | ||
Employee total entry by age group - Over 50 years old | persons | 247 | 102 | ||
Employee total entry by ethnicity - Han | persons | 3703 | 102 | ||
Employee total entry by ethnicity - Minorities | persons | 75 | 102 | ||
Employee total entry by gender - Female | persons | 2093 | 102 | ||
Employee total entry by gender - Male | persons | 1685 | 102 | ||
Employee total entry by region - Guangdong | persons | 2776 | 102 | ||
Employee total entry by region - Guangxi | persons | 499 | 102 | ||
Employee total entry by region - Guizhou | persons | 198 | 102 | ||
Employee total entry by region - Hebei | persons | 227 | 102 | ||
Employee total entry by region - Hong Kong | persons | 19 | 102 | ||
Employee total entry by region - Others | persons | 11 | 102 | ||
Employee total entry by region - Sichuan | persons | 41 | 102 | ||
Employee total entry by region - Yunan | persons | 31 | 102 | ||
Number of Executive Directors on Board | 4 | 36 | |||
Number of Han staff | No. | 2069 | 2429 | 6958 | 134 |
Number of Independent Non-Executive Directors on Board | 4 | 36 | |||
Number of Non-Executive Directors on Board | 2 | 36 | |||
Number of employees at Group's headquarters | employees | 121 | 96 | ||
Number of employees due to return to work after taking parental leave in 2023 (Female) | 20 | 105 | |||
Number of employees due to return to work after taking parental leave in 2023 (Male) | 59 | 105 | |||
Number of employees entitled to parental leave (Female) | 3078 | 105 | |||
Number of employees entitled to parental leave (Male) | 4196 | 105 | |||
Number of employees in WTE business | employees | 2490 | 96 | ||
Number of employees in environmental sanitation management service business | employees | 4412 | 96 | ||
Number of employees in smart car parking business | employees | 251 | 96 | ||
Number of employees took parental leave in 2023 (Female) | 23 | 105 | |||
Number of employees took parental leave in 2023 (Male) | 65 | 105 | |||
Number of ethnic minority staff | No. | 221 | 233 | 316 | 134 |
Number of female staff | No. | 455 | 522 | 3078 | 134 |
Number of full-time permanent staff | No. | 2290 | 2662 | 7264 | 134 |
Number of general and technical staff | No. | 2091 | 2472 | 7014 | 134 |
Number of male staff | No. | 1835 | 2140 | 4196 | 134 |
Number of middle-level management staff | No. | 147 | 121 | 205 | 134 |
Number of new employee hires - 30 years old or below | No. | 374 | 280 | 247 | 135 |
Number of new employee hires - 31–50 years old | No. | 333 | 228 | 972 | 135 |
Number of new employee hires - Ethnic minorities | No. | 75 | 37 | 75 | 135 |
Number of new employee hires - Female | No. | 124 | 97 | 2093 | 135 |
Number of new employee hires - Guangdong | No. | 295 | 156 | 199 | 135 |
Number of new employee hires - Guangxi | No. | 41 | 11 | 18 | 135 |
Number of new employee hires - Guizhou | No. | 63 | 20 | 17 | 135 |
Number of new employee hires - Han ethnicity | No. | 646 | 488 | 3703 | 135 |
Number of new employee hires - Hebei | No. | 52 | 61 | 2776 | 135 |
Number of new employee hires - Hong Kong | No. | 7 | 6 | 11 | 135 |
Number of new employee hires - Male | No. | 597 | 428 | 1685 | 135 |
Number of new employee hires - Others (region) | No. | 168 | 173 | 227 | 135 |
Number of new employee hires - Over 50 years old | No. | 14 | 17 | 2559 | 135 |
Number of new employee hires - Sichuan | No. | 28 | 499 | 135 | |
Number of new employee hires - Yunnan | No. | 95 | 70 | 31 | 135 |
Number of part-time staff | No., employees | 10 | 96, 134 | ||
Number of permanent employees | employees | 7264 | 96 | ||
Number of senior management staff | No. | 52 | 69 | 55 | 134 |
Number of staff aged 30 years old or below | No. | 861 | 950 | 998 | 134 |
Number of staff aged 31–50 years old | No. | 1303 | 1536 | 2660 | 134 |
Number of staff aged over 50 years old | No. | 126 | 176 | 3616 | 134 |
Number of staff in Guangdong | No. | 1278 | 1328 | 1667 | 134 |
Number of staff in Guangxi | No. | 202 | 197 | 237 | 134 |
Number of staff in Guizhou | No. | 174 | 180 | 176 | 134 |
Number of staff in Hebei | No. | 94 | 150 | 3373 | 134 |
Number of staff in Hong Kong | No. | 28 | 26 | 35 | 134 |
Number of staff in Other regions | No. | 367 | 369 | 680 | 134 |
Number of staff in Sichuan | No. | 96 | 968 | 134 | |
Number of staff in Yunnan | No. | 147 | 142 | 138 | 134 |
Ratio of standard entry-level wage to local minimum wage, Guangdong, Female | 2.63 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Guangdong, Male | 3.93 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Guangxi, Female | 1.85 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Guangxi, Male | 2.49 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Guizhou, Female | 1.84 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Guizhou, Male | 2.82 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Hebei, Female | 1.28 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Hebei, Male | 1.66 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Hong Kong, Female | 3.74 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Hong Kong, Male | 4.26 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Other, Female | 1.41 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Other, Male | 1.77 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Sichuan, Female | 1.13 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Sichuan, Male | 1.28 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Yunnan, Female | 2.06 | 104 | |||
Ratio of standard entry-level wage to local minimum wage, Yunnan, Male | 2.89 | 104 | |||
Retained for Canvest’s sustainable operation and development | HK$'000 | 1808861 | 2050919 | 1621227 | 130 |
Staff costs | HK$'000 | 488983 | 615353 | 648088 | 130 |
Total Workforce by Age Group - 30 years old or below (Environmental Sanitation Services) | 73 | 97 | |||
Total Workforce by Age Group - 30 years old or below (Environmental Sanitation Services, %) | 2% | 97 | |||
Total Workforce by Age Group - 30 years old or below (Headquarters) | 14 | 97 | |||
Total Workforce by Age Group - 30 years old or below (Headquarters, %) | 12% | 97 | |||
Total Workforce by Age Group - 30 years old or below (Smart car parking) | 30 | 97 | |||
Total Workforce by Age Group - 30 years old or below (Smart car parking, %) | 12% | 97 | |||
Total Workforce by Age Group - 30 years old or below (WTE) | 881 | 97 | |||
Total Workforce by Age Group - 30 years old or below (WTE, %) | 35% | 97 | |||
Total Workforce by Age Group - 31–50 years old (Environmental Sanitation Services) | 951 | 97 | |||
Total Workforce by Age Group - 31–50 years old (Environmental Sanitation Services, %) | 21% | 97 | |||
Total Workforce by Age Group - 31–50 years old (Headquarters) | 95 | 97 | |||
Total Workforce by Age Group - 31–50 years old (Headquarters, %) | 78% | 97 | |||
Total Workforce by Age Group - 31–50 years old (Smart car parking) | 163 | 97 | |||
Total Workforce by Age Group - 31–50 years old (Smart car parking, %) | 65% | 97 | |||
Total Workforce by Age Group - 31–50 years old (WTE) | 1451 | 97 | |||
Total Workforce by Age Group - 31–50 years old (WTE, %) | 58% | 97 | |||
Total Workforce by Age Group - Over 50 years old (Environmental Sanitation Services) | 3388 | 97 | |||
Total Workforce by Age Group - Over 50 years old (Environmental Sanitation Services, %) | 77% | 97 | |||
Total Workforce by Age Group - Over 50 years old (Headquarters) | 12 | 97 | |||
Total Workforce by Age Group - Over 50 years old (Headquarters, %) | 10% | 97 | |||
Total Workforce by Age Group - Over 50 years old (Smart car parking) | 58 | 97 | |||
Total Workforce by Age Group - Over 50 years old (Smart car parking, %) | 23% | 97 | |||
Total Workforce by Age Group - Over 50 years old (WTE) | 158 | 97 | |||
Total Workforce by Age Group - Over 50 years old (WTE, %) | 7% | 97 | |||
Total Workforce by Employee Category - General and technical staff (Environmental Sanitation Services) | 4355 | 97 | |||
Total Workforce by Employee Category - General and technical staff (Environmental Sanitation Services, %) | 99% | 97 | |||
Total Workforce by Employee Category - General and technical staff (Headquarters) | 78 | 97 | |||
Total Workforce by Employee Category - General and technical staff (Headquarters, %) | 64% | 97 | |||
Total Workforce by Employee Category - General and technical staff (Smart car parking) | 225 | 97 | |||
Total Workforce by Employee Category - General and technical staff (Smart car parking, %) | 90% | 97 | |||
Total Workforce by Employee Category - General and technical staff (WTE) | 2356 | 97 | |||
Total Workforce by Employee Category - General and technical staff (WTE, %) | 95% | 97 | |||
Total Workforce by Employee Category - Middle-level management (Environmental Sanitation Services) | 52 | 97 | |||
Total Workforce by Employee Category - Middle-level management (Environmental Sanitation Services, %) | 1% | 97 | |||
Total Workforce by Employee Category - Middle-level management (Headquarters) | 23 | 97 | |||
Total Workforce by Employee Category - Middle-level management (Headquarters, %) | 19% | 97 | |||
Total Workforce by Employee Category - Middle-level management (Smart car parking) | 18 | 97 | |||
Total Workforce by Employee Category - Middle-level management (Smart car parking, %) | 7% | 97 | |||
Total Workforce by Employee Category - Middle-level management (WTE) | 112 | 97 | |||
Total Workforce by Employee Category - Middle-level management (WTE, %) | 4% | 97 | |||
Total Workforce by Employee Category - Senior management (Environmental Sanitation Services) | 5 | 97 | |||
Total Workforce by Employee Category - Senior management (Environmental Sanitation Services, %) | 0% | 97 | |||
Total Workforce by Employee Category - Senior management (Headquarters) | 20 | 97 | |||
Total Workforce by Employee Category - Senior management (Headquarters, %) | 17% | 97 | |||
Total Workforce by Employee Category - Senior management (Smart car parking) | 8 | 97 | |||
Total Workforce by Employee Category - Senior management (Smart car parking, %) | 3% | 97 | |||
Total Workforce by Employee Category - Senior management (WTE) | 22 | 97 | |||
Total Workforce by Employee Category - Senior management (WTE, %) | 1% | 97 | |||
Total Workforce by Employment Form - Full-time (Environmental Sanitation Services) | 4402 | 97 | |||
Total Workforce by Employment Form - Full-time (Environmental Sanitation Services, %) | 99% | 97 | |||
Total Workforce by Employment Form - Full-time (Headquarters) | 121 | 97 | |||
Total Workforce by Employment Form - Full-time (Headquarters, %) | 100% | 97 | |||
Total Workforce by Employment Form - Full-time (Smart car parking) | 251 | 97 | |||
Total Workforce by Employment Form - Full-time (Smart car parking, %) | 100% | 97 | |||
Total Workforce by Employment Form - Full-time (WTE) | 2490 | 97 | |||
Total Workforce by Employment Form - Full-time (WTE, %) | 100% | 97 | |||
Total Workforce by Employment Form - Part-time (Environmental Sanitation Services) | 10 | 97 | |||
Total Workforce by Employment Form - Part-time (Environmental Sanitation Services, %) | 1% | 97 | |||
Total Workforce by Ethnicity - Han (Environmental Sanitation Services) | 4377 | 97 | |||
Total Workforce by Ethnicity - Han (Environmental Sanitation Services, %) | 99% | 97 | |||
Total Workforce by Ethnicity - Han (Headquarters) | 121 | 97 | |||
Total Workforce by Ethnicity - Han (Headquarters, %) | 100% | 97 | |||
Total Workforce by Ethnicity - Han (Smart car parking) | 220 | 97 | |||
Total Workforce by Ethnicity - Han (Smart car parking, %) | 88% | 97 | |||
Total Workforce by Ethnicity - Han (WTE) | 2240 | 97 | |||
Total Workforce by Ethnicity - Han (WTE, %) | 90% | 97 | |||
Total Workforce by Ethnicity - Minorities (Environmental Sanitation Services) | 35 | 97 | |||
Total Workforce by Ethnicity - Minorities (Environmental Sanitation Services, %) | 1% | 97 | |||
Total Workforce by Ethnicity - Minorities (Smart car parking) | 31 | 97 | |||
Total Workforce by Ethnicity - Minorities (Smart car parking, %) | 12% | 97 | |||
Total Workforce by Ethnicity - Minorities (WTE) | 250 | 97 | |||
Total Workforce by Ethnicity - Minorities (WTE, %) | 10% | 97 | |||
Total Workforce by Gender - Female (Environmental Sanitation Services) | 2453 | 97 | |||
Total Workforce by Gender - Female (Environmental Sanitation Services, %) | 56% | 97 | |||
Total Workforce by Gender - Female (Headquarters) | 49 | 97 | |||
Total Workforce by Gender - Female (Headquarters, %) | 40% | 97 | |||
Total Workforce by Gender - Female (Smart car parking) | 106 | 97 | |||
Total Workforce by Gender - Female (Smart car parking, %) | 42% | 97 | |||
Total Workforce by Gender - Female (WTE) | 470 | 97 | |||
Total Workforce by Gender - Female (WTE, %) | 19% | 97 | |||
Total Workforce by Gender - Male (Environmental Sanitation Services) | 1959 | 97 | |||
Total Workforce by Gender - Male (Environmental Sanitation Services, %) | 44% | 97 | |||
Total Workforce by Gender - Male (Headquarters) | 72 | 97 | |||
Total Workforce by Gender - Male (Headquarters, %) | 60% | 97 | |||
Total Workforce by Gender - Male (Smart car parking) | 145 | 97 | |||
Total Workforce by Gender - Male (Smart car parking, %) | 58% | 97 | |||
Total Workforce by Gender - Male (WTE) | 2020 | 97 | |||
Total Workforce by Gender - Male (WTE, %) | 81% | 97 | |||
Total Workforce by Region - Guangdong (Environmental Sanitation Services) | 205 | 97 | |||
Total Workforce by Region - Guangdong (Environmental Sanitation Services, %) | 5% | 97 | |||
Total Workforce by Region - Guangdong (Headquarters) | 86 | 97 | |||
Total Workforce by Region - Guangdong (Headquarters, %) | 71% | 97 | |||
Total Workforce by Region - Guangdong (Smart car parking) | 113 | 97 | |||
Total Workforce by Region - Guangdong (Smart car parking, %) | 45% | 97 | |||
Total Workforce by Region - Guangdong (WTE) | 1263 | 97 | |||
Total Workforce by Region - Guangdong (WTE, %) | 50% | 97 | |||
Total Workforce by Region - Guangxi (Environmental Sanitation Services) | 38 | 97 | |||
Total Workforce by Region - Guangxi (Environmental Sanitation Services, %) | 1% | 97 | |||
Total Workforce by Region - Guangxi (WTE) | 199 | 97 | |||
Total Workforce by Region - Guangxi (WTE, %) | 8% | 97 | |||
Total Workforce by Region - Guizhou (WTE) | 176 | 97 | |||
Total Workforce by Region - Guizhou (WTE, %) | 7% | 97 | |||
Total Workforce by Region - Hebei (Environmental Sanitation Services) | 3201 | 97 | |||
Total Workforce by Region - Hebei (Environmental Sanitation Services, %) | 72% | 97 | |||
Total Workforce by Region - Hebei (WTE) | 166 | 97 | |||
Total Workforce by Region - Hebei (WTE, %) | 7% | 97 | |||
Total Workforce by Region - Hong Kong (Headquarters) | 35 | 97 | |||
Total Workforce by Region - Hong Kong (Headquarters, %) | 29% | 97 | |||
Total Workforce by Region - Others (Smart car parking) | 132 | 97 | |||
Total Workforce by Region - Others (Smart car parking, %) | 53% | 97 | |||
Total Workforce by Region - Others (WTE) | 548 | 97 | |||
Total Workforce by Region - Others (WTE, %) | 22% | 97 | |||
Total Workforce by Region - Sichuan (Environmental Sanitation Services) | 968 | 97 | |||
Total Workforce by Region - Sichuan (Environmental Sanitation Services, %) | 22% | 97 | |||
Total Workforce by Region - Yunnan (WTE) | 138 | 97 | |||
Total Workforce by Region - Yunnan (WTE, %) | 6% | 97 | |||
Total number of employees (all subsidiaries) | employees | 7274 | 96 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Employee Turnover Rate - 30 years old or below | % | 20.44 | 17.16 | 16.73 | 138 |
Employee Turnover Rate - 31–50 years old | % | 12.66 | 11.07 | 13.8 | 138 |
Employee Turnover Rate - Ethnic minorities | % | 10.41 | 9.01 | 13.61 | 138 |
Employee Turnover Rate - Female | % | 13.19 | 12.45 | 17.38 | 138 |
Employee Turnover Rate - Guangdong | % | 14.24 | 9.86 | 13.5 | 138 |
Employee Turnover Rate - Guangxi | % | 14.85 | 6.09 | 7.17 | 138 |
Employee Turnover Rate - Guizhou | % | 8.05 | 8.89 | 11.36 | 138 |
Employee Turnover Rate - Han | % | 15.95 | 13.79 | 18.76 | 138 |
Employee Turnover Rate - Hebei | % | 12.77 | 12.67 | 19.09 | 138 |
Employee Turnover Rate - Hong Kong | % | 28.57 | 38.46 | 11.43 | 138 |
Employee Turnover Rate - Male | % | 15.97 | 13.6 | 19.38 | 138 |
Employee Turnover Rate - Others | % | 22.89 | 24.93 | 20.88 | 138 |
Employee Turnover Rate - Over 50 years old | % | 9.52 | 13.07 | 22.51 | 138 |
Employee Turnover Rate - Sichuan | % | 3.13 | 26.86 | 138 | |
Employee Turnover Rate - Yunnan | % | 15.65 | 51.41 | 26.09 | 138 |
Employee Turnover — Number of Employee Turnover, 30 years old or below | No. | 176 | 163 | 167 | 137 |
Employee Turnover — Number of Employee Turnover, 31–50 years old | No. | 165 | 170 | 367 | 137 |
Employee Turnover — Number of Employee Turnover, Ethnic minorities | No. | 23 | 21 | 43 | 137 |
Employee Turnover — Number of Employee Turnover, Female | No. | 60 | 65 | 535 | 137 |
Employee Turnover — Number of Employee Turnover, Guangdong | No. | 182 | 131 | 225 | 137 |
Employee Turnover — Number of Employee Turnover, Guangxi | No. | 30 | 12 | 17 | 137 |
Employee Turnover — Number of Employee Turnover, Guizhou | No. | 14 | 16 | 20 | 137 |
Employee Turnover — Number of Employee Turnover, Han ethnicity | No. | 330 | 335 | 1305 | 137 |
Employee Turnover — Number of Employee Turnover, Hebei | No. | 12 | 19 | 644 | 137 |
Employee Turnover — Number of Employee Turnover, Hong Kong | No. | 8 | 10 | 4 | 137 |
Employee Turnover — Number of Employee Turnover, Male | No. | 293 | 291 | 813 | 137 |
Employee Turnover — Number of Employee Turnover, Others (region) | No. | 84 | 92 | 142 | 137 |
Employee Turnover — Number of Employee Turnover, Over 50 years old | No. | 12 | 23 | 814 | 137 |
Employee Turnover — Number of Employee Turnover, Sichuan | No. | 3 | 260 | 137 | |
Employee Turnover — Number of Employee Turnover, Yunnan | No. | 23 | 73 | 36 | 137 |
Employee total turnover by age group - 30 years old or below | persons | 814 | 102 | ||
Employee total turnover by age group - 31-50 years old | persons | 367 | 102 | ||
Employee total turnover by age group - Over 50 years old | persons | 167 | 102 | ||
Employee total turnover by ethnicity - Han | persons | 1305 | 102 | ||
Employee total turnover by ethnicity - Minorities | persons | 43 | 102 | ||
Employee total turnover by gender - Female | persons | 813 | 102 | ||
Employee total turnover by gender - Male | persons | 535 | 102 | ||
Employee total turnover by region - Guangdong | persons | 864 | 102 | ||
Employee total turnover by region - Guangxi | persons | 264 | 102 | ||
Employee total turnover by region - Guizhou | persons | 26 | 102 | ||
Employee total turnover by region - Hebei | persons | 142 | 102 | ||
Employee total turnover by region - Hong Kong | persons | 36 | 102 | ||
Employee total turnover by region - Others | persons | 24 | 102 | ||
Employee total turnover by region - Sichuan | persons | 260 | 102 | ||
Employee total turnover by region - Yunan | persons | 25 | 102 | ||
Number of employees who returned to work after parental leave ended in 2022 and still employed by the end of 2023 (Female) | 30 | 105 | |||
Number of employees who returned to work after parental leave ended in 2022 and still employed by the end of 2023 (Male) | 89 | 105 | |||
Number of employees who returned to work after parental leave ended in 2023 (Female) | 19 | 105 | |||
Number of employees who returned to work after parental leave ended in 2023 (Male) | 59 | 105 | |||
Rate of New Employee Hires by Age Group - 30 years old or below | % | 43.44 | 29.47 | 24.75 | 136 |
Rate of New Employee Hires by Age Group - 31–50 years old | % | 25.56 | 14.84 | 36.54 | 136 |
Rate of New Employee Hires by Age Group - Over 50 years old | % | 11.11 | 9.66 | 70.77 | 136 |
Rate of New Employee Hires by Ethnicity - Ethnic minorities | % | 33.94 | 15.88 | 23.73 | 136 |
Rate of New Employee Hires by Ethnicity - Han | % | 31.22 | 20.09 | 53.22 | 136 |
Rate of New Employee Hires by Gender - Female | % | 27.25 | 18.58 | 68 | 136 |
Rate of New Employee Hires by Gender - Male | % | 32.53 | 20 | 40.16 | 136 |
Rate of New Employee Hires by Geographical Region - Guangdong | % | 23.08 | 11.75 | 11.94 | 136 |
Rate of New Employee Hires by Geographical Region - Guangxi | % | 20.3 | 5.58 | 7.59 | 136 |
Rate of New Employee Hires by Geographical Region - Guizhou | % | 36.21 | 11.1 | 9.66 | 136 |
Rate of New Employee Hires by Geographical Region - Hebei | % | 55.32 | 40.67 | 82.3 | 136 |
Rate of New Employee Hires by Geographical Region - Hong Kong | % | 25 | 23.08 | 31.43 | 136 |
Rate of New Employee Hires by Geographical Region - Others | % | 45.78 | 46.88 | 33.38 | 136 |
Rate of New Employee Hires by Geographical Region - Sichuan | % | 29.17 | 51.55 | 136 | |
Rate of New Employee Hires by Geographical Region - Yunnan | % | 64.63 | 49.3 | 22.46 | 136 |
Retention rate (Female) | % | 79% | 105 | ||
Retention rate (Male) | % | 86% | 105 | ||
Return to work rate (Female) | % | 95% | 105 | ||
Return to work rate (Male) | % | 100% | 105 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Number of high-consequence work-related injuries (excluding fatalities) (Employees/Contractors) | No. | 0/3 | 0/1 | 6/0 | 139 |
Number of occupational disease cases (Employees/Contractors) | No. | 0/0 | 0/0 | 0/0 | 139 |
Number of work-related fatalities (Employees/Contractors) | No. | 0/1 | 0/0 | 2/0 | 139 |
Number of work-related injuries (Employees/Contractors) | No. | 0/4 | 0/1 | 63/0 | 139 |
Overall injury rate of the Group (employees) | 1.05 | 112 | |||
Rate of high-consequence work-related injury (excluding fatalities) (Employees/Contractors) | 0/0.1 | 0/0.09 | 0.10/0 | 139 | |
Rate of work-related fatalities (Employees/Contractors) | 0/0.03 | 0/0 | 0.03/0 | 139 |
Lost days due to work injury.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Lost days due to work-related injury (Employees/Contractors) | Days | 0/468 | 0/15 | 933/0 | 139 |
Rate of work-related injuries (Employees/Contractors) | 0/0.13 | 0/0.09 | 1.05/0 | 139 | |
Total working hours of employees | hours | 12032148 | 112, 140 | ||
Total working hours of on-site contractors | hours | 3464 | 112 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Percentage of Employees Trained - Female | % | 100 | 100 | 98 | 138 |
Percentage of Employees Trained - General and technical staff | % | 100 | 100 | 100 | 138 |
Percentage of Employees Trained - Male | % | 100 | 100 | 100 | 138 |
Percentage of Employees Trained - Middle-level management | % | 100 | 100 | 100 | 138 |
Percentage of Employees Trained - Senior management | % | 100 | 100 | 99 | 138 |
Percentage of employees received training | 100% | 100% | 100% | 108 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Average training cost per employee trained | RMB | 227 | 108 | ||
Average training hours per employee | hour | 50 | 60 | 88 | 108 |
Average training hours per employee in 2023 - Anti-bribery training | Hour | 1.87 | 110 | ||
Average training hours per employee in 2023 - Anti-discrimination training | Hour | 1.82 | 110 | ||
Average training hours per employee in 2023 - Corporate social responsibility related training | Hour | 1.85 | 110 | ||
Average training hours per employee in 2023 - Diversity, equality and inclusion training | Hour | 1.82 | 110 | ||
Average training hours per employee in 2023 - Health and safety related training | Hour | 1.96 | 110 | ||
Average training hours per employee in 2023 - Human rights related training | Hour | 1.8 | 110 | ||
Average training hours per employee in 2023 - Information and cybersecurity awareness training | Hour | 1.83 | 110 | ||
Average training per employee by employment category: General and technical staff | hours | 52.9 | 62.65 | 34.08 | 139 |
Average training per employee by employment category: Middle-level management | hours | 16.23 | 35.96 | 38.42 | 139 |
Average training per employee by employment category: Senior management | hours | 19.97 | 41.05 | 29.04 | 139 |
Average training per employee by gender: Female | hours | 21.52 | 38.92 | 14.41 | 139 |
Average training per employee by gender: Male | hours | 56.81 | 66.2 | 40.3 | 139 |
Percentage of employees who received performance and compensation evaluations | % | 100% | 103 | ||
Total hours of training provided | hour | 213465 | 108 | ||
Total training costs | RMB | 1648880 | 108 |
Number of suppliers by geographical region.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Number of commercial clients | 152 | 17 | |||
Number of government clients | 119 | 17 | |||
Number of suppliers | 1219 | 17 | |||
Number of suppliers engaged to procure goods and services | 1388 | 44 | |||
Proportion of supply value represented by local suppliers for Operating Projects | 60% | 44 | |||
Share of net profits of associates and joint ventures | HK$'000 | 96498 | 189934 | 153390 | 130 |
Total supply value | billion RMB | 1.46 | 17 | ||
Total value of supplies procured from suppliers | billion RMB | 1.49 | 44 |
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 | 2023 | Report Pages |
---|---|---|---|
Canvest — Paul Y. Joint Venture awarded North Lantau Transfer Station and Outlying Islands Transfer Facilities Second Follow-on Contract for a period of | years | 10 | 35 |
Number of suppliers of raw materials, equipment parts, and machinery visited and validated | 14 | 46 | |
Percentage of suppliers achieved ISO 45001 certification | % | 47 | 46 |
Percentage of suppliers obtained ISO 14001 certification | % | 47 | 46 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Profit attributable to non-controlling interest | HK$'000 | -2828 | 26658 | 19263 | 130 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Donation to Jiuqu Village, Daojiao Town, Dongguan City for upgrading and painting of riverside piers | RMB | 500000 | 124 |
Number of professional organisations with Canvest corporate membership | organisations | 65 | 125 |
Number of public tours conducted at WTE plants | tours | 967 | 118 |
employees participated in welfare and charitable activities | employees | 3074 | 116 |
visitors in total visited our projects | visitors | 28861 | 116 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Charitable donations | HK$'000 | 4520 | 8842 | 3787 | 130 |
Community sponsorship amount | million HKD | 2.83 | 26 | ||
Number of visitors to WTE plants | 28209 | 26 | |||
Other costs | HK$'000 | 4030785 | 4956523 | 2063486 | 130 |
Other income | HK$'000 | 237809 | 215875 | 220954 | 130 |
Participated volunteers | No. | 1692 | 1438 | 3074 | 130 |
Revenue | HK$'000 | 6794571 | 8246645 | 4980160 | 130 |
Taxes | HK$'000 | 123479 | 128465 | 143255 | 130 |
Total insurance claimed as a result of property damages due to climate/extreme weather events | RMB | 2493096 | 87 | ||
Total insurance premium paid to protect property damages from climate risk/risk of extreme weather | RMB | 5552017 | 87 | ||
Voluntary hours | Hours | 4449 | 6810 | 86660 | 130 |
hours of voluntary work | hours | 86660 | 116 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | tonnes | 132 | 145 | 142 |
NOₓ Emissions | tonnes | 5320 | 6701 | 6537 |
SOₓ Emissions | tonnes | 712 | 1160 | 1201 |
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 | 2023 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonne CO2e | 7720564 | 7381957 | 8528186 |
Indirect Energy Emissions (Scope 2) | tonne CO2e | 2574 | 2980 | 7975 |
Total GHG Emissions | tonne CO2e | 7725764 | 7419748 | 8583847 |
Total GHG Emissions Intensity (By Product Volume) | tonne CO2e/tonne of MSW processed | 0.775 | 0.607 | 0.641 |
Total Other Indirect Energy Emissions (Scope 3) | tonne CO2e | 2626 | 34811 | 47686 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Hazardous Waste Landfilling | tonnes | 298568 |
Total Hazardous Waste | tonnes | 260330 |
Total Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.06 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Glass Waste | tonnes | 0.129 |
Non-Hazardous Waste Incineration | tonnes | 13391359 |
Non-Hazardous Waste Recycled | tonnes | 3417613 |
Paper Waste | tonnes | 7.776 |
Plastic Waste | tonnes | 0.96 |
Recycling Rate of Non-Hazardous Waste | % | 25.54 |
Total Non-Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.8 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2021 | 2030 |
---|---|---|---|
CO2 Emissions Reduction Compared to Last Year | Gt | 21.1 | |
GHG Emissions Reduction Percentage Compared to Last Year | % | 22 |
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 |
---|---|---|---|---|
Direct Energy Intensity (By Unit Product) | GJ/tonne of MSW processed | 0.18 | ||
Energy Consumption Intensity (By Unit Product) | GJ/tonne of MSW processed | 0.201 | 0.188 | 0.188 |
Fossil Fuel Consumption | GJ | 143040 | 118434 | 182108 |
Natural Gas Consumption | GJ | 24538 | 20994 | 17031 |
Percentage of Renewable Energy Consumption | % | 91 | 93 | 90 |
Purchased Steam | tonne | 42000 | 136000 | |
Renewable Energy Consumption | GJ | 1821057 | 2147957 | 2273927 |
Sold Electricity | MWh | 3411322 | 3940256 | 4295434 |
Total Energy Consumption | GJ | 2002871 | 2302205 | 2522006 |
Total Indirect Energy Consumption | GJ | 1835293 | 2162777 | 2322867 |
Total Non-Renewable Fuel Consumption | GJ | 14236 | 14820 | 48940 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Groundwater Withdrawal | m³ | 110179.5 | ||
Municipal Water Consumption | m³ | 10127823.85 | ||
Recycled Water Usage | m³ | 1317542.21 | ||
Surface Water Withdrawal | m³ | 7742666.57 | ||
Total Wastewater Discharge | m³ | 1578639.21 | ||
Water Consumption | m³ | 16306077 | 17645479 | 17980670 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 3.13 |
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 | 2023 | 2030 |
---|---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % | 1 | |
Water Consumption Reduction Percentage Compared to Last Year | % | 6.52 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Contractors | contractors | 2117 | ||
Number of Employees Aged 30-50 | employees | 1303 | 1536 | 2660 |
Number of Employees Aged Above 50 | employees | 126 | 176 | 3616 |
Number of Employees Aged Below 30 | employees | 861 | 950 | 998 |
Number of Employees in Hong Kong | employees | 28 | 26 | 35 |
Number of Employees in Mainland China | employees | 2262 | 2636 | 7239 |
Number of Female Employees | employees | 455 | 522 | 3078 |
Number of Full-time Employees | employees | 2290 | 2662 | 7264 |
Number of General Employees | employees | 2091 | 2472 | 7014 |
Number of Male Employees | employees | 1835 | 2140 | 4196 |
Number of Middle Management Employees | employees | 147 | 121 | 205 |
Number of New Employees | employees | 721 | 525 | 4346 |
Number of New Employees (Above 50) | employees | 14 | 17 | 2559 |
Number of New Employees (Aged 30-50) | employees | 333 | 228 | 972 |
Number of New Employees (Aged Below 30) | employees | 374 | 280 | 247 |
Number of New Employees (Female) | employees | 124 | 97 | 2093 |
Number of New Employees (Hong Kong) | employees | 7 | 6 | 11 |
Number of New Employees (Male) | employees | 597 | 428 | 1685 |
Number of Part-time Employees | employees | 10 | ||
Number of Senior Management Employees | employees | 52 | 69 | 55 |
Number of Total Employees | employees | 2290 | 2662 | 7274 |
Percentage of Employees Aged 30-50 | % | 56.92 | 57.73 | 36.56 |
Percentage of Employees Aged Above 50 | % | 5.5 | 6.62 | 49.72 |
Percentage of Employees Aged Below 30 | % | 37.61 | 35.7 | 13.72 |
Percentage of Employees in Hong Kong | % | 1.22 | 0.98 | 0.48 |
Percentage of Employees in Mainland China | % | 98.78 | 99.02 | 99.52 |
Percentage of Female Employees | % | 19.87 | 19.59 | 42.31 |
Percentage of Full-time Employees | % | 100 | 100 | 99.86 |
Percentage of General Employees | % | 91.31 | 92.86 | 96.42 |
Percentage of Male Employees | % | 80.13 | 80.41 | 57.69 |
Percentage of Middle Management Employees | % | 6.42 | 4.55 | 2.82 |
Percentage of New Employees | % | 31.5 | 19.72 | 59.76 |
Percentage of Part-time Employees | % | 0.14 | ||
Percentage of Senior Management Employees | % | 2.27 | 2.59 | 0.76 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Employees still Employed 12 Months after Return to Work (Female) | 30 | |||
Employees still Employed 12 Months after Return to Work (Male) | 89 | |||
Turnover Rate of Employees Aged 30-50 | % | 12.66 | 11.07 | 13.8 |
Turnover Rate of Employees Aged Above 50 | % | 9.52 | 13.07 | 22.51 |
Turnover Rate of Employees Aged Below 30 | % | 20.44 | 17.16 | 16.73 |
Turnover Rate of Employees in Hong Kong | % | 28.57 | 38.46 | 11.43 |
Turnover Rate of Female Employees | % | 13.19 | 12.45 | 17.38 |
Turnover Rate of Male Employees | % | 15.97 | 13.6 | 19.38 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | No. | 1 | 2 | |
Number of Fatalities of the Last 3 Years | No. | 1 | 1 | 3 |
Number of Work-related Fatalities | No. | 1 | 2 | |
Number of Work-related Fatalities for Contractors | No. | 1 | ||
Number of Work-related Fatalities for Direct Employee | No. | 2 | ||
Work-related Fatalities Rate | 0.03 | 0.03 |
Lost days due to work injury.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Lost Working Days Due to Work-related Injuries (Contractor) | Days | 468 | 15 | |
Lost Working Days Due to Work-related Injuries (Employees) | Days | 933 | ||
Rate of Work-related Injuries | 1.05 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Safety knowledge lectures | event | 12 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Percentage of Employees Trained | % | 100 | 100 | 100 |
Percentage of Trained Female Employees | % | 100 | 100 | 98 |
Percentage of Trained General Employees | % | 100 | 100 | 100 |
Percentage of Trained Male Employees | % | 100 | 100 | 100 |
Percentage of Trained Middle Management | % | 100 | 100 | 100 |
Percentage of Trained Senior Management | % | 100 | 100 | 99 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 21.52 | 38.92 | 14.41 |
Average Training Hours (General Staff) | hours | 52.9 | 62.65 | 34.08 |
Average Training Hours (Male) | hours | 56.81 | 66.2 | 40.3 |
Average Training Hours (Middle Management) | hours | 16.23 | 35.96 | 38.42 |
Average Training Hours (Senior Management) | hours | 19.97 | 41.05 | 29.04 |
Average Training Hours per Employee | hour | 50 | 60 | 88 |
Total Training Hours | hour | 213465 | ||
Training Hours of Anti-corruption | Hour | 1.87 | ||
Training Hours of Cybersecurity | Hour | 1.83 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Total Suppliers | 1219 | |
Proportion of Spending on Local Suppliers | % | 60 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Suppliers Certified to ISO 45001 Occupational Health and Safety Management System | 7 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2023 |
---|---|---|
Coverage Rate of Ethical Standards and Anti-Corruption Training | % | 100 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Employees Participating in Volunteer Activities | employees | 1692 | 1438 | 3074 |
Total Social Investment | million HKD | 2.83 | ||
Total Volunteer Service Hours | hours | 4449 | 6810 | 86660 |