SUSTAINABILITY REPORT 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Nitrogen oxides (NOx) air emissions | tonne | 6701 | 6537 | 6186 | 135 |
| Nitrogen oxides (NOₓ) emissions, WTE Operation | tonnes | 6185 | 57 | ||
| Nitrogen oxides (NOₓ) intensity, Other remaining sources (including headquarters, environmental hygiene services) | 0.74 | 57 | |||
| Nitrogen oxides (NOₓ) intensity, WTE Operation | g/tonne of MSW processed | 444.9 | 57 | ||
| Particulate Matter (PM) emissions, WTE Operation | tonnes | 164 | 57 | ||
| Particulate Matter (PM) intensity, Other remaining sources (including headquarters, environmental hygiene services) | 0.0544 | 57 | |||
| Particulate Matter (PM) intensity, WTE Operation | g/tonne of MSW processed | 11.8 | 57 | ||
| Particulate matter (PM) air emissions | tonne | 145 | 142 | 164 | 135 |
| Sulphur dioxide (SO2) air emissions | tonne | 1160 | 1201 | 1128 | 135 |
| Sulphur dioxide (SO₂) emissions, WTE Operation | tonnes | 1128 | 57 | ||
| Sulphur dioxide (SO₂) intensity, Other remaining sources (including headquarters, environmental hygiene services) | 0.0434 | 57 | |||
| Sulphur dioxide (SO₂) intensity, WTE Operation | g/tonne of MSW processed | 81.2 | 57 | ||
| Total Nitrogen oxides (NOₓ) emissions | tonnes | 6186 | 57 | ||
| Total Particulate Matter (PM) emissions | tonnes | 164 | 57 | ||
| Total Sulphur dioxide (SO₂) emissions | tonnes | 1128 | 57 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Anthropogenic biogenic GHG emissions | Tonnes (T) of CO2 equivalent, tonnes of CO2 equivalent | 55905.1 | 177, 180 | ||
| CO2 equivalent emissions avoided by Operating Projects | tonnes | 8431368 | 25 | ||
| Category a): Direct GHG emissions (excluding anthropogenic biogenic GHG emissions) | Tonnes (T) of CO2 equivalent | 9220785.5 | 177 | ||
| Category a): Direct GHG removals (excluding anthropogenic biogenic GHG removals) | Tonnes (T) of CO2 equivalent | 8431368.4 | 177 | ||
| Category c): Transportation | Tonnes (T) of CO2 equivalent | 49953.6 | 177 | ||
| Category d): Products used | Tonnes (T) of CO2 equivalent | 43.4 | 177 | ||
| Category e): Use of products | Tonnes (T) of CO2 equivalent | / | 177 | ||
| Category f): Other sources | Tonnes (T) of CO2 equivalent | / | 177 | ||
| Direct greenhouse gas removals (excluding anthropogenic biogenic GHG removals) | tonnes of CO2 equivalent | 8431368.4 | 180 | ||
| Indirect GHG emissions | Tonnes (T) of CO2 equivalent | 52011.7 | 177 | ||
| Other Sources | tCO2e | 7708 | 89 | ||
| Percentage of GHG emissions from municipal waste treatment facilities in Mainland China | percent | over 98 | 178 | ||
| Scope 1 (Direct Emissions) | tCO2e | 9276691 | 89 | ||
| Scope 1 (direct emissions) GHG | tonne CO2e | 7381957 | 8528186 | 9276691 | 135 |
| Scope 1 + Scope 2 Emissions | tCO2e | 9278705 | 89 | ||
| Scope 2 (Energy Indirect Emissions) | tCO2e | 2015 | 89 | ||
| Scope 2 (energy indirect emissions) GHG | tonne CO2e | 2980 | 7975 | 2015 | 135 |
| Scope 3 (Other Indirect Emissions) | tCO2e | 49997 | 89 | ||
| Scope 3 (other indirect emissions) GHG | tonne CO2e | 34811 | 47686 | 49997 | 135 |
| Total (Direct + Indirect Emissions excluding anthropogenic biogenic GHG emissions) | Tonnes (T) of CO2 equivalent | 9272797.3 | 177 | ||
| Total (Direct + Indirect Emissions including anthropogenic biogenic GHG emissions) | Tonnes (T) of CO2 equivalent | 9328702.4 | 177 | ||
| Total (Direct + Indirect Removals excluding anthropogenic biogenic GHG removals) | Tonnes (T) of CO2 equivalent | 8431368.4 | 177 | ||
| Total GHG Emissions | tCO2e | 9328447 | 89 | ||
| Total GHG Emissions Intensity | tCO2e/tonnes of MSW processed | 0.671 | 89 | ||
| Total GHG emissions (Scope 1–3) | tonne CO2e | 7419748 | 8583847 | 9328702 | 135 |
| Total GHG emissions intensity | tonne CO2e/tonne of MSW processed | 0.607 | 0.641 | 0.671 | 135 |
| Total direct and indirect greenhouse gas emissions (excluding anthropogenic biogenic GHG emissions) | tonnes of CO2 equivalent | 9272797.3 | 180 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Activated carbon consumption | tonne | 6071 | 8255 | 6742 | 136 |
| Fly ash after stabilisation (hazardous waste) | tonnes | 324510 | 60 | ||
| Fly ash before stabilisation (hazardous waste) | tonnes | 274580 | 60 | ||
| Fly ash chelating agent consumption | tonne | 5273 | 5910 | 6029 | 136 |
| Fly ash produced before stabilisation | tonne | 238430 | 260281 | 274580 | 136 |
| Hazardous waste intensity | tonnes/MWh of electricity sold | 0.07 | 60 | ||
| Leachate produced | tonne | 1537213 | 1606275 | 1422109 | 136 |
| Number of types of goods disposed (Linfen Project) | types | 100 | 123 | ||
| Number of wholly owned facilities in operation stage for municipal waste treatment in Mainland China | facilities | 29 | 178 | ||
| Other hazardous waste | tonnes | 90 | 60 | ||
| Percentage of total waste generated by Canvest that is bottom ash | % | 91 | 59 | ||
| Sodium bicarbonate consumption | tonne | 55 | 37 | 136 | |
| Total bottom ash recycled during WTE process | tonnes | 3366782 | 51 | ||
| Total hazardous waste generated | tonnes | 324600 | 60 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021–2024 | 2022 | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|
| Bottom ash (non-hazardous waste) | tonnes | 3366782 | 60 | ||||
| Bottom ash produced | tonne | 2855044 | 3417613 | 3366782 | 136 | ||
| Incineration of MSW | tCO2e | 9268983 | 89 | ||||
| MSW Processed (2021–2024 cumulative) | tonnes | 49487486 | 53 | ||||
| MSW Processed 2030 Target (2021–2030 cumulative) | tonnes | 100000000 | 53 | ||||
| MSW Processed Progress (2021–2024) | 49.5% | 53 | |||||
| MSW processed | tonne | 12224205 | 13391359 | 13901789 | 135 | ||
| Non-hazardous waste intensity | tonnes/MWh of electricity sold | 0.74 | 60 | ||||
| PNCR material consumption | tonne | 5 | 6 | 55 | 136 | ||
| Percentage of bottom ash generated that was collected by third parties for recycling or recovery purposes, or reused for road pavement at landfills | % | 100 | 59 | ||||
| Recycled fabrics through waste sorting | kg | 2808 | 58 | ||||
| Recycled glass through waste sorting | kg | 325 | 58 | ||||
| Recycled other materials through waste sorting | kg | 482 | 58 | ||||
| Recycled paper through waste sorting | kg | 16179 | 58 | ||||
| Recycled plastic through waste sorting | kg | 1521 | 58 | ||||
| Total non-hazardous waste generated | tonnes | 3366782 | 60 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | 2024 | 2030 | 2100 | Report Pages |
|---|---|---|---|---|---|---|---|
| CO2 emissions in Net Zero Emissions by 2050 Scenario (NZE) | Gt | 21.1 | 81 | ||||
| Financial cost | HK$'000 | 599784 | 657819 | 655232 | 134 | ||
| GHG Emissions Avoidance | tCO2e | 8431368 | 89 | ||||
| GHG emissions avoidance | tonne CO2e | 6138393 | 7485893 | 8431368 | 135 | ||
| Temperature increase limit in Net Zero Emissions by 2050 Scenario (NZE) | °C | <1.5 | 81 | ||||
| Verified Carbon Units (VCUs) ascertained by 1 WTE project under the Verified Carbon Standard (VCS) | tonnes | 240000 | 35 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Bottom ash recycled during WTE process | % | 100% | 51 |
| Hazardous waste to ultimate landfill disposal (offsite) | tonnes | 231870 | 60 |
| Hazardous waste to ultimate landfill disposal (self-operated landfills) | tonnes | 92730 | 60 |
| Non-hazardous waste to recycling/recovery (offsite) | tonnes | 3366782 | 60 |
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 | 2021–2024 | 2022 | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|
| Annual electricity consumption equivalent to households powered by WTE Projects | households | 1801706 | 24 | ||||
| Canvest Yuezhans vehicle fleet that are electric vehicles | % | 17% | 51 | ||||
| Category b): Imported Energy | Tonnes (T) of CO2 equivalent | 2014.7 | 177 | ||||
| Cement consumption | tonne | 951 | 1209 | 811 | 136 | ||
| Electricity consumption | GJ | 2162777 | 2322867 | 2391542 | 136 | ||
| Electricity from non-renewable sources | GJ | 14820 | 48940 | 13834 | 136 | ||
| Electricity from renewable sources | GJ | 2147957 | 2273927 | 2377707 | 136 | ||
| Energy intensity | GJ/tonne of MSW processed | 0.188 | 0.188 | 0.185 | 136 | ||
| Energy intensity at WTE Operation | GJ/tonne of MSW processed | 0.18 | 65 | ||||
| Fuel oil and gasoline consumption | GJ | 118434 | 182108 | 168750 | 136 | ||
| Fuel oil consumption at Headquarters | GJ | 1115 | 65 | ||||
| Fuel oil consumption at WTE Operation | GJ | 103527 | 65 | ||||
| Fuel oil consumption in Environmental Hygiene Services | GJ | 51009 | 65 | ||||
| Gasoline consumption in Environmental Hygiene Services | GJ | 13099 | 65 | ||||
| Green Electricity Sold (2021–2024 cumulative) | MWh | 16175706 | 53 | ||||
| Green Electricity Sold 2030 Target (2021–2030 cumulative) | MWh | 35000000 | 53 | ||||
| Green Electricity Sold Progress (2021–2024) | 46.2% | 53 | |||||
| Grid-purchased electricity consumption at Headquarters | GJ | 1732 | 65 | ||||
| Grid-purchased electricity consumption at WTE Operation | GJ | 7094 | 65 | ||||
| Grid-purchased electricity consumption in Environmental Hygiene Services | GJ | 3983 | 65 | ||||
| Grid-purchased electricity consumption in Smart Car Parking Management | GJ | 1024 | 65 | ||||
| Hydrochloric acid consumption | tonne | 1713 | 1705 | 1618 | 136 | ||
| Lime consumption | tonne | 74405 | 102553 | 98629 | 136 | ||
| Loan facility signed with ADB to promote efficient municipal solid waste management and WTE in China | RMB | 360000000 | 49 | ||||
| MSW converted to electricity by WTE plants | tonnes | 13901789 | 24 | ||||
| Natural gas consumption | GJ | 20994 | 17031 | 17104 | 136 | ||
| Natural gas consumption at WTE Operation | GJ | 17104 | 65 | ||||
| Percentage of non-renewable energy consumed | % | 7 | 10 | 8 | 136 | ||
| Percentage of renewable energy connection to grid | % | 100 | 100 | 100 | 135 | ||
| Percentage of renewable energy generated | % | 100 | 100 | 100 | 135 | ||
| Power generated | MWh | 4536699 | 4925506 | 5187197 | 135 | ||
| Power sold | MWh | 3940256 | 4295434 | 4528694 | 135 | ||
| Self-generated electricity consumption at WTE Operation | GJ | 2377707 | 65 | ||||
| Standard coal conserved from power generation by Operating Projects | tonnes | 1380346 | 25 | ||||
| Steam supplied | tonne | 42000 | 136000 | 312128 | 135 | ||
| Total energy consumed | GJ | 2302205 | 2522006 | 2577395 | 136 | ||
| Total energy consumed at Headquarters | GJ | 2848 | 65 | ||||
| Total energy consumed at WTE Operation | GJ | 2505432 | 65 | ||||
| Total energy consumed in Environmental Hygiene Services | GJ | 68091 | 65 | ||||
| Total energy consumed in Smart Car Parking Management | GJ | 1024 | 65 | ||||
| Total energy consumed of the Group | GJ | 2577395 | 65 | ||||
| Urea consumption | tonne | 3946 | 4167 | 3083 | 136 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Ammonia water consumption | tonne | 10983 | 17528 | 14269 | 136 |
| Direct Surface Water Withdrawal - WTE Operation | m³ | 6932088 | 67 | ||
| Freshwater Consumption Intensity - WTE Operation | m³/MWh of electricity sold | 4.15 | 67 | ||
| Freshwater consumption intensity | m³/MWh | 4.48 | 4.19 | 4.16 | 136 |
| Groundwater Withdrawal - WTE Operation | m³ | 40530 | 67 | ||
| Municipal Water Supplies - Environmental Hygiene Services | m³ | 55365 | 67 | ||
| Municipal Water Supplies - Headquarters | m³ | 1525 | 67 | ||
| Municipal Water Supplies - Smart Car Parking Management | m³ | 796 | 67 | ||
| Municipal Water Supplies - WTE Operation | m³ | 11817499 | 67 | ||
| Operating Projects reclaimed water reuse rate | percent | 74 | 77 | ||
| Reclaimed Water Used - Environmental Hygiene Services | m³ | 560903 | 67 | ||
| Total Direct Surface Water Withdrawal | m³ | 6932088 | 67 | ||
| Total Freshwater Consumption | m³ | 18847803 | 67 | ||
| Total Freshwater Consumption - Environmental Hygiene Services | m³ | 55365 | 67 | ||
| Total Freshwater Consumption - Headquarters | m³ | 1525 | 67 | ||
| Total Freshwater Consumption - Smart Car Parking Management | m³ | 796 | 67 | ||
| Total Freshwater Consumption - WTE Operation | m³ | 18790117 | 67 | ||
| Total Groundwater Withdrawal | m³ | 40530 | 67 | ||
| Total Municipal Water Supplies | m³ | 11875185 | 67 | ||
| Total freshwater consumption | m³ | 17645479 | 17980670 | 18847803 | 136 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Coagulant & flocculant consumption | tonne | 251 | 191 | 136 | |
| Energy consumption intensity decrease compared to 2023 | % | 1.61% | 51 | ||
| Percentage of renewable energy consumed | % | 93 | 90 | 92 | 136 |
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 | 2024 | 2030 | 2050 | Report Pages |
|---|---|---|---|---|---|
| Corporate target for WTE operations to reduce freshwater consumption intensity by 2030 compared to 2021 level | % | 1 | 68 | ||
| Freshwater consumption intensity reduction compared to 2023 | % | 0.58% | 51 | ||
| Percentage of treated effluents reclaimed from Operating WTE projects for internal use (circulatory cooling water, landscape irrigation, waste truck washing) | % | 74% | 61 | ||
| Water Stress risk assessment under Business-as-Usual Scenario in 2050 (SSP3 RCP7.0) | ✓ | 71 | |||
| Water Stress risk assessment under Optimistic Scenario in 2050 (SSP1 RCP2.6) | ✓ | 71 | |||
| Water Stress risk assessment under Pessimistic Scenario in 2050 (SSP5 RCP8.5) | ✓ | 71 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Sale of green electricity by Operating Projects | MWh | 4528694 | 25 |
| Sale of steam by Operating Projects | tonnes | 312128 | 25 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Annual internal audits of QHSE Management System and all Operating Projects with no significant findings necessitating major improvements | no significant findings | 42 | |
| MSCI ESG Rating | A | 13 | |
| Total plan area of greeneries and ponds for flood retention | m² | 634312 | 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 | 2024 | 2050 | 2100 | Report Pages |
|---|---|---|---|---|---|---|
| Average global temperature increase above pre-industrial levels (1850–1900) | °C | 1.45 | 68 | |||
| Average global temperature increase above pre-industrial levels (1850–1900) - margin of error | °C | 0.12 | 68 | |||
| CDP Climate Change Questionnaire Score | B | 13 | ||||
| Coastal Flood Risk assessment under Optimistic Scenario in 2050 (SSP2 RCP4.5) | ✓ | 71 | ||||
| Coastal Flood Risk assessment under Pessimistic Scenario in 2050 (SSP2 RCP8.5, SSP3 RCP8.5) | ✓ | 71 | ||||
| Number of hours of incidental operation suspension due to extreme weather events | Hours | 479 | 87 | |||
| Riverine Flood Risk assessment under Optimistic Scenario in 2050 (SSP2 RCP4.5) | ✓ | 71 | ||||
| Riverine Flood Risk assessment under Pessimistic Scenario in 2050 (SSP2 RCP8.5, SSP3 RCP8.5) | ✓ | 71 | ||||
| Total number of hours spent on climate-related emergency drills | Hours | 396 | 87 | |||
| Warming in Business-as-Usual Scenario in 2050 compared to pre-industrial level (projected for 2100) | °C | 2.6–4.8 | 70 | |||
| Warming in Optimistic Scenario in 2050 compared to pre-industrial level (projected for 2100) | °C | <2 | 70 | |||
| Warming in Pessimistic Scenario in 2050 compared to pre-industrial level (projected for 2100) | °C | 4.4 | 70 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee entry - 30 years old or below | persons | 1839 | 102 | ||
| Employee entry - 31-50 years old | persons | 655 | 102 | ||
| Employee entry - Female | persons | 1595 | 102 | ||
| Employee entry - Guangdong region | persons | 1154 | 102 | ||
| Employee entry - Guangxi region | persons | 662 | 102 | ||
| Employee entry - Guizhou region | persons | 509 | 102 | ||
| Employee entry - Han ethnicity | persons | 2579 | 102 | ||
| Employee entry - Hebei region | persons | 10 | 102 | ||
| Employee entry - Hong Kong region | persons | 4 | 102 | ||
| Employee entry - Male | persons | 1082 | 102 | ||
| Employee entry - Minorities ethnicity | persons | 98 | 102 | ||
| Employee entry - Others region | persons | 17 | 102 | ||
| Employee entry - Over 50 years old | persons | 183 | 102 | ||
| Employee entry - Sichuan region | persons | 31 | 102 | ||
| Employee entry - Yunan region | persons | 12 | 102 | ||
| New hires as percentage of total workforce | percentage | 35% | 102 | ||
| Number of Han staff | No. | 2429 | 6958 | 7281 | 138 |
| Number of employees at Group's headquarters | employees | 121 | 96 | ||
| Number of employees due to return to work after taking parental leave in 2024 (Female) | 23 | 105 | |||
| Number of employees due to return to work after taking parental leave in 2024 (Male) | 110 | 105 | |||
| Number of employees entitled to parental leave (Female) | 3087 | 105 | |||
| Number of employees entitled to parental leave (Male) | 4509 | 105 | |||
| Number of employees in WTE business | employees | 2609 | 96 | ||
| Number of employees in environmental sanitation management service business | employees | 4707 | 96 | ||
| Number of employees in smart car parking business | employees | 159 | 96 | ||
| Number of employees took parental leave in 2024 (Female) | 31 | 105 | |||
| Number of employees took parental leave in 2024 (Male) | 113 | 105 | |||
| Number of ethnic minority staff | No. | 233 | 316 | 315 | 138 |
| Number of female staff | No. | 522 | 3078 | 3087 | 138 |
| Number of full-time staff | No. | 2662 | 7264 | 7585 | 138 |
| Number of general and technical staff | No. | 2472 | 7014 | 7358 | 138 |
| Number of male staff | No. | 2140 | 4196 | 4509 | 138 |
| Number of middle-level management staff | No. | 121 | 205 | 170 | 138 |
| Number of new employee hires - 30 years old or below | No. | 280 | 247 | 183 | 139 |
| Number of new employee hires - 31–50 years old | No. | 228 | 972 | 655 | 139 |
| Number of new employee hires - Ethnic minorities | No. | 37 | 75 | 98 | 139 |
| Number of new employee hires - Female | No. | 97 | 2093 | 1082 | 139 |
| Number of new employee hires - Guangdong | No. | 156 | 199 | 319 | 139 |
| Number of new employee hires - Guangxi | No. | 11 | 18 | 7 | 139 |
| Number of new employee hires - Guizhou | No. | 20 | 17 | 10 | 139 |
| Number of new employee hires - Han ethnicity | No. | 488 | 3703 | 2579 | 139 |
| Number of new employee hires - Hebei | No. | 61 | 2776 | 509 | 139 |
| Number of new employee hires - Hong Kong | No. | 6 | 11 | 4 | 139 |
| Number of new employee hires - Male | No. | 428 | 1685 | 1595 | 139 |
| Number of new employee hires - Others (region) | No. | 173 | 227 | 1154 | 139 |
| Number of new employee hires - Over 50 years old | No. | 17 | 2559 | 1839 | 139 |
| Number of new employee hires - Sichuan | No. | 28 | 499 | 662 | 139 |
| Number of new employee hires - Yunnan | No. | 70 | 31 | 12 | 139 |
| Number of part-time employees | employees | 11 | 96 | ||
| Number of part-time staff | No. | 10 | 11 | 138 | |
| Number of permanent employees | employees | 7585 | 96 | ||
| Number of senior management staff | No. | 69 | 55 | 68 | 138 |
| Number of staff aged 30 years old or below | No. | 950 | 998 | 936 | 138 |
| Number of staff aged 31–50 years old | No. | 1536 | 2660 | 2803 | 138 |
| Number of staff aged over 50 years old | No. | 176 | 3616 | 3857 | 138 |
| Number of staff in Guangdong | No. | 1328 | 1667 | 1666 | 138 |
| Number of staff in Guangxi | No. | 197 | 237 | 197 | 138 |
| Number of staff in Guizhou | No. | 180 | 176 | 174 | 138 |
| Number of staff in Hebei | No. | 150 | 3373 | 3133 | 138 |
| Number of staff in Hong Kong | No. | 26 | 35 | 37 | 138 |
| Number of staff in Others (geographical region) | No. | 369 | 680 | 1477 | 138 |
| Number of staff in Sichuan | No. | 96 | 968 | 780 | 138 |
| Number of staff in Yunnan | No. | 142 | 138 | 132 | 138 |
| Ratio of standard entry-level wage to local minimum wage, Guangdong, Female | 2.99 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Guangdong, Male | 3.97 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Guangxi, Female | 2.09 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Guangxi, Male | 2.88 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Guizhou, Female | 1.82 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Guizhou, Male | 2.77 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Hebei, Female | 1.34 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Hebei, Male | 1.68 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Hong Kong, Female | 4 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Hong Kong, Male | 4.07 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Other, Female | 1.28 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Other, Male | 1.54 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Sichuan, Female | 1.49 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Sichuan, Male | 1.95 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Yunnan, Female | 1.94 | 104 | |||
| Ratio of standard entry-level wage to local minimum wage, Yunnan, Male | 2.52 | 104 | |||
| Retained for Canvest’s sustainable operation and development | HK$'000 | 2050919 | 1481339 | 1589519 | 134 |
| Senior management hired from local regions | percentage | over 48% | 102 | ||
| Staff costs | HK$'000 | 615353 | 628616 | 682871 | 134 |
| Total Workforce by Age Group - 30 years old or below (Environmental Sanitation Services) | 66 | 97 | |||
| Total Workforce by Age Group - 30 years old or below (Headquarters) | 9 | 97 | |||
| Total Workforce by Age Group - 30 years old or below (Smart car parking) | 14 | 97 | |||
| Total Workforce by Age Group - 30 years old or below (WTE) | 847 | 97 | |||
| Total Workforce by Age Group - 31–50 years old (Environmental Sanitation Services) | 990 | 97 | |||
| Total Workforce by Age Group - 31–50 years old (Headquarters) | 100 | 97 | |||
| Total Workforce by Age Group - 31–50 years old (Smart car parking) | 104 | 97 | |||
| Total Workforce by Age Group - 31–50 years old (WTE) | 1609 | 97 | |||
| Total Workforce by Age Group - Over 50 years old (Environmental Sanitation Services) | 3651 | 97 | |||
| Total Workforce by Age Group - Over 50 years old (Headquarters) | 12 | 97 | |||
| Total Workforce by Age Group - Over 50 years old (Smart car parking) | 41 | 97 | |||
| Total Workforce by Age Group - Over 50 years old (WTE) | 153 | 97 | |||
| Total Workforce by Employee Category - General and technical staff (Environmental Sanitation Services) | 4670 | 97 | |||
| Total Workforce by Employee Category - General and technical staff (Headquarters) | 81 | 97 | |||
| Total Workforce by Employee Category - General and technical staff (Smart car parking) | 141 | 97 | |||
| Total Workforce by Employee Category - General and technical staff (WTE) | 2466 | 97 | |||
| Total Workforce by Employee Category - Middle-level management (Environmental Sanitation Services) | 23 | 97 | |||
| Total Workforce by Employee Category - Middle-level management (Headquarters) | 23 | 97 | |||
| Total Workforce by Employee Category - Middle-level management (Smart car parking) | 7 | 97 | |||
| Total Workforce by Employee Category - Middle-level management (WTE) | 117 | 97 | |||
| Total Workforce by Employee Category - Senior management (Environmental Sanitation Services) | 14 | 97 | |||
| Total Workforce by Employee Category - Senior management (Headquarters) | 17 | 97 | |||
| Total Workforce by Employee Category - Senior management (Smart car parking) | 11 | 97 | |||
| Total Workforce by Employee Category - Senior management (WTE) | 26 | 97 | |||
| Total Workforce by Employment Form - Full-time (Environmental Sanitation Services) | 4696 | 97 | |||
| Total Workforce by Employment Form - Full-time (Headquarters) | 121 | 97 | |||
| Total Workforce by Employment Form - Full-time (Smart car parking) | 159 | 97 | |||
| Total Workforce by Employment Form - Full-time (WTE) | 2609 | 97 | |||
| Total Workforce by Employment Form - Part-time (Environmental Sanitation Services) | 11 | 97 | |||
| Total Workforce by Ethnicity - Han (Environmental Sanitation Services) | 4681 | 97 | |||
| Total Workforce by Ethnicity - Han (Headquarters) | 121 | 97 | |||
| Total Workforce by Ethnicity - Han (Smart car parking) | 132 | 97 | |||
| Total Workforce by Ethnicity - Han (WTE) | 2347 | 97 | |||
| Total Workforce by Ethnicity - Minorities (Environmental Sanitation Services) | 26 | 97 | |||
| Total Workforce by Ethnicity - Minorities (Smart car parking) | 27 | 97 | |||
| Total Workforce by Ethnicity - Minorities (WTE) | 262 | 97 | |||
| Total Workforce by Gender - Female (Environmental Sanitation Services) | 2487 | 97 | |||
| Total Workforce by Gender - Female (Headquarters) | 49 | 97 | |||
| Total Workforce by Gender - Female (Smart car parking) | 78 | 97 | |||
| Total Workforce by Gender - Female (WTE) | 473 | 97 | |||
| Total Workforce by Gender - Male (Environmental Sanitation Services) | 2220 | 97 | |||
| Total Workforce by Gender - Male (Headquarters) | 72 | 97 | |||
| Total Workforce by Gender - Male (Smart car parking) | 81 | 97 | |||
| Total Workforce by Gender - Male (WTE) | 2136 | 97 | |||
| Total Workforce by Region - Guangdong (Environmental Sanitation Services) | 236 | 97 | |||
| Total Workforce by Region - Guangdong (Headquarters) | 84 | 97 | |||
| Total Workforce by Region - Guangdong (Smart car parking) | 65 | 97 | |||
| Total Workforce by Region - Guangdong (WTE) | 1281 | 97 | |||
| Total Workforce by Region - Guangxi (WTE) | 197 | 97 | |||
| Total Workforce by Region - Guizhou (WTE) | 174 | 97 | |||
| Total Workforce by Region - Hebei (Environmental Sanitation Services) | 2971 | 97 | |||
| Total Workforce by Region - Hebei (WTE) | 162 | 97 | |||
| Total Workforce by Region - Hong Kong (Headquarters) | 37 | 97 | |||
| Total Workforce by Region - Others (Environmental Sanitation Services) | 720 | 97 | |||
| Total Workforce by Region - Others (Smart car parking) | 94 | 97 | |||
| Total Workforce by Region - Others (WTE) | 663 | 97 | |||
| Total Workforce by Region - Sichuan (Environmental Sanitation Services) | 780 | 97 | |||
| Total Workforce by Region - Yunnan (WTE) | 132 | 97 | |||
| Total number of employees (all subsidiaries) | employees | 7596 | 96 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee Turnover — Number of Employee Turnover, 30 years old or below | No. | 163 | 167 | 172 | 141 |
| Employee Turnover — Number of Employee Turnover, 31–50 years old | No. | 170 | 367 | 476 | 141 |
| Employee Turnover — Number of Employee Turnover, Ethnic minorities | No. | 21 | 43 | 85 | 141 |
| Employee Turnover — Number of Employee Turnover, Female | No. | 65 | 535 | 780 | 141 |
| Employee Turnover — Number of Employee Turnover, Guangdong | No. | 131 | 225 | 193 | 141 |
| Employee Turnover — Number of Employee Turnover, Guangxi | No. | 12 | 17 | 7 | 141 |
| Employee Turnover — Number of Employee Turnover, Guizhou | No. | 16 | 20 | 13 | 141 |
| Employee Turnover — Number of Employee Turnover, Han ethnicity | No. | 335 | 1305 | 1781 | 141 |
| Employee Turnover — Number of Employee Turnover, Hebei | No. | 19 | 644 | 900 | 141 |
| Employee Turnover — Number of Employee Turnover, Hong Kong | No. | 10 | 4 | 3 | 141 |
| Employee Turnover — Number of Employee Turnover, Male | No. | 291 | 813 | 1086 | 141 |
| Employee Turnover — Number of Employee Turnover, Others (region) | No. | 92 | 142 | 504 | 141 |
| Employee Turnover — Number of Employee Turnover, Over 50 years old | No. | 23 | 814 | 1218 | 141 |
| Employee Turnover — Number of Employee Turnover, Sichuan | No. | 3 | 260 | 226 | 141 |
| Employee Turnover — Number of Employee Turnover, Yunnan | No. | 73 | 36 | 20 | 141 |
| Employee turnover - 30 years old or below | persons | 1218 | 102 | ||
| Employee turnover - 31-50 years old | persons | 476 | 102 | ||
| Employee turnover - Female | persons | 1086 | 102 | ||
| Employee turnover - Guangdong region | persons | 504 | 102 | ||
| Employee turnover - Guangxi region | persons | 228 | 102 | ||
| Employee turnover - Guizhou region | persons | 900 | 102 | ||
| Employee turnover - Han ethnicity | persons | 1781 | 102 | ||
| Employee turnover - Hebei region | persons | 19 | 102 | ||
| Employee turnover - Hong Kong region | persons | 13 | 102 | ||
| Employee turnover - Male | persons | 780 | 102 | ||
| Employee turnover - Minorities ethnicity | persons | 85 | 102 | ||
| Employee turnover - Others region | persons | 19 | 102 | ||
| Employee turnover - Over 50 years old | persons | 172 | 102 | ||
| Employee turnover - Sichuan region | persons | 195 | 102 | ||
| Employee turnover - Yunan region | persons | 13 | 102 | ||
| Number of employees who returned to work after parental leave ended in 2023 and still employed by the end of 2024 (Female) | 17 | 105 | |||
| Number of employees who returned to work after parental leave ended in 2023 and still employed by the end of 2024 (Male) | 65 | 105 | |||
| Number of employees who returned to work after parental leave ended in 2024 (Female) | 20 | 105 | |||
| Number of employees who returned to work after parental leave ended in 2024 (Male) | 110 | 105 | |||
| Retention rate (Female) | % | 85% | 105 | ||
| Retention rate (Male) | % | 98% | 105 | ||
| Return to work rate (Female) | % | 87% | 105 | ||
| Return to work rate (Male) | % | 100% | 105 | ||
| Staff turnover and retirement as percentage of total workforce | percentage | 25% | 102 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of high-consequence work-related injuries (excluding fatalities) (Employees/Contractors) | No. | 0/1 | 6/0 | 1/0 | 143 |
| Number of occupational disease cases (Employees/Contractors) | No. | 0/0 | 0/0 | 0/0 | 143 |
| Number of work-related fatalities (Employees/Contractors) | No. | 0/0 | 2/0 | 0/0 | 143 |
| Number of work-related injuries (Employees/Contractors) | No. | 0/1 | 63/0 | 16/0 | 143 |
| Overall injury rate of the Group (employees) | 0.19 | 112 | |||
| Rate of high-consequence work-related injury (excluding fatalities) (Employees/Contractors) | 0/0.09 | 0.10/0 | 0.01/0 | 143 | |
| Rate of work-related fatalities (Employees/Contractors) | 0/0 | 0.03/0 | 0/0 | 143 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work-related injury (Employees/Contractors) | Days | 0/15 | 933/0 | 506/0 | 143 |
| Rate of work-related injuries (Employees/Contractors) | 0/0.09 | 1.05/0 | 0.19/0 | 143 | |
| Total working hours of employees | hours | 16780118 | 112 | ||
| Total working hours of on-site contractors | hours | 1560139 | 112 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| % of employees received training | 100% | 100% | 100% | 108 | |
| Percentage of Employees Trained - Female | % | 100 | 98 | 100 | 143 |
| Percentage of Employees Trained - General and technical staff | % | 100 | 100 | 99 | 143 |
| Percentage of Employees Trained - Male | % | 100 | 100 | 99 | 143 |
| Percentage of Employees Trained - Middle-level management | % | 100 | 100 | 100 | 143 |
| Percentage of Employees Trained - Senior management | % | 100 | 99 | 100 | 143 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average Training per Employee - Female | hours | 38.92 | 14.41 | 16.8 | 143 |
| Average Training per Employee - General and technical staff | hours | 62.65 | 34.08 | 13.3 | 143 |
| Average Training per Employee - Male | hours | 66.2 | 40.3 | 11 | 143 |
| Average Training per Employee - Middle-level management | hours | 35.96 | 38.42 | 8.3 | 143 |
| Average Training per Employee - Senior management | hours | 41.05 | 29.04 | 10.7 | 143 |
| Average training cost per employee | RMB | 120 | 108 | ||
| Average training hours per employee | hour | 60 | 29 | 35 | 108 |
| Average training hours per employee in 2024 - Anti-bribery training | Hour | 1.63 | 110 | ||
| Average training hours per employee in 2024 - Anti-discrimination training | Hour | 1.62 | 110 | ||
| Average training hours per employee in 2024 - Corporate social responsibility related training | Hour | 1.72 | 110 | ||
| Average training hours per employee in 2024 - Diversity, equality and inclusion training | Hour | 1.65 | 110 | ||
| Average training hours per employee in 2024 - Health and safety related training | Hour | 12.9 | 110 | ||
| Average training hours per employee in 2024 - Human rights related training | Hour | 1.66 | 110 | ||
| Average training hours per employee in 2024 - Information and cybersecurity awareness training | Hour | 1.65 | 110 | ||
| Percentage of employees who received performance and compensation evaluations | % | 100 | 103 | ||
| Total training costs | RMB | 900114 | 108 | ||
| Total training hours provided | hour | 266791 | 108 |
Description of measures to review employment practices to avoid child and forced labour.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| SA8000 external audit frequency | annual | 40 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of countries and regions represented at Eco Expo Asia | 11 | 93 | |||
| Number of suppliers engaged to procure goods and services | 1288 | 44 | |||
| Proportion of supply value from local suppliers for Operating Projects | 56% | 44 | |||
| Share of net profits of associates and joint ventures | HK$'000 | 189934 | 153889 | 158236 | 134 |
| Total value of supplies | million RMB | 1273 | 44 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of suppliers supporting WTE business | 1131 | 44 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Total value of counterfeit and substandard goods destroyed (Linfen Project) | million RMB | 50 | 123 |
| Total weight of counterfeit and substandard goods destroyed (Linfen Project) | tonnes | 100 | 123 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Profit attributable to non-controlling interest | HK$'000 | 26658 | 20877 | 14744 | 134 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of exhibitors at Eco Expo Asia | 300 | 93 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Charitable donations | HK$'000 | 8842 | 3787 | 3181 | 134 |
| Other costs | HK$'000 | 4956523 | 2201710 | 1499109 | 134 |
| Other income | HK$'000 | 215875 | 220842 | 276103 | 134 |
| Participated volunteers | No. | 1438 | 3074 | 6828 | 134 |
| Revenue | HK$'000 | 8246645 | 4960197 | 4198331 | 134 |
| Taxes | HK$'000 | 128465 | 143177 | 188040 | 134 |
| Total insurance claimed as a result of property damages due to climate/extreme weather events | RMB | 8139690 | 87 | ||
| Total insurance premium paid to protect property damages from climate risk/risk of extreme weather | RMB | 4044473 | 87 | ||
| Voluntary hours | Hours | 6810 | 86660 | 189410 | 134 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 145 | 142 | 164 |
| NOₓ Emissions | tonnes | 6701 | 6537 | 6186 |
| SOₓ Emissions | tonnes | 1160 | 1201 | 1128 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne CO2e | 7381957 | 8528186 | 9276691 |
| Indirect Energy Emissions (Scope 2) | tonne CO2e | 2980 | 7975 | 2015 |
| Total GHG Emissions | tonne CO2e | 7419748 | 8583847 | 9328702 |
| Total GHG Emissions Intensity (By Product Volume) | tonne CO2e/tonne of MSW processed | 0.607 | 0.641 | 0.671 |
| Total Other Indirect Energy Emissions (Scope 3) | tonne CO2e | 34811 | 47686 | 49997 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Hazardous Waste | tonnes | 324600 |
| Total Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.07 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Glass Waste | tonne | 0.325 | ||
| Non-Hazardous Waste Incineration | tonne | 12224205 | 13391359 | 13901789 |
| Non-Hazardous Waste Recycled | tonnes | 3366782 | ||
| Paper Waste | tonne | 16.179 | ||
| Plastic Waste | tonne | 1.521 | ||
| Recycling Rate of Non-Hazardous Waste | % | 100 | ||
| Total Non-Hazardous Waste Incineration | tonne | 12224205 | 13391359 | 13901789 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.74 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | percent | 13 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Unit Product) | GJ/tonne of MSW processed | 0.188 | 0.188 | 0.185 |
| Gasoline Consumption | GJ | 13099 | ||
| Natural Gas Consumption | GJ | 20994 | 17031 | 17104 |
| Percentage of Renewable Energy Consumption | % | 93 | 90 | 92 |
| Purchased Electricity | GJ | 2162777 | 2322867 | 2391542 |
| Renewable Energy Consumption | GJ | 2147957 | 2273927 | 2377707 |
| Sold Electricity | MWh | 3940256 | 4295434 | 4528694 |
| Total Energy Consumption | GJ | 2302205 | 2522006 | 2577395 |
| Total Non-Renewable Fuel Consumption | GJ | 14820 | 48940 | 13834 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Groundwater Withdrawal | m³ | 40530 | ||
| Municipal Water Consumption | m³ | 11875185 | ||
| Recycled Water Percentage | percent | 74 | ||
| Recycled Water Usage | m³ | 560903 | ||
| Surface Water Withdrawal | m³ | 6932088 | ||
| Water Consumption | m³ | 17645479 | 17980670 | 18847803 |
| Water Consumption Intensity (By Revenue) | m³/MWh | 4.48 | 4.19 | 4.16 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % | 1.61 |
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 | 2024 | 2030 |
|---|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 1 | |
| Water Consumption Reduction Percentage Compared to Last Year | % | 0.58 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Aged 30-50 | employees | 1536 | 2660 | 2803 |
| Number of Employees Aged Above 50 | employees | 176 | 3616 | 3857 |
| Number of Employees Aged Below 30 | employees | 950 | 998 | 936 |
| Number of Employees in Hong Kong | employees | 26 | 35 | 37 |
| Number of Female Employees | employees | 522 | 3078 | 3087 |
| Number of Full-time Employees | employees | 2662 | 7264 | 7585 |
| Number of Male Employees | employees | 2140 | 4196 | 4509 |
| Number of Middle Management Employees | employees | 121 | 205 | 170 |
| Number of New Employees | employees | 525 | 3778 | 2677 |
| Number of New Employees (Above 50) | employees | 17 | 2559 | 183 |
| Number of New Employees (Aged 30-50) | employees | 228 | 972 | 655 |
| Number of New Employees (Aged Below 30) | employees | 280 | 247 | 1839 |
| Number of New Employees (Female) | employees | 97 | 2093 | 1595 |
| Number of New Employees (Male) | employees | 428 | 1685 | 1082 |
| Number of Part-time Employees | employees | 10 | 11 | |
| Number of Senior Management Employees | employees | 69 | 55 | 68 |
| Number of Total Employees | employees | 2662 | 7264 | 7596 |
| Percentage of Employees Aged 30-50 | % | 57.73 | 36.62 | 36.89 |
| Percentage of Employees Aged Above 50 | % | 6.62 | 49.83 | 50.8 |
| Percentage of Employees Aged Below 30 | % | 35.7 | 13.74 | 12.32 |
| Percentage of Female Employees | % | 19.61 | 42.39 | 40.61 |
| Percentage of Full-time Employees | % | 100 | 100 | 99.86 |
| Percentage of Male Employees | % | 80.43 | 57.78 | 59.39 |
| Percentage of Part-time Employees | % | 0.14 | 0.14 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Employees still Employed 12 Months after Return to Work (Female) | 17 | |
| Employees still Employed 12 Months after Return to Work (Male) | 65 | |
| Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 85 |
| Percentage of Employees still Employed 12 Months after Return to Work (Male) | % | 98 |
| Turnover Rate of Female Employees | % | 85 |
| Turnover Rate of Male Employees | % | 98 |
| Turnover Rate of Total Employees | % | 25 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Fatalities Rate of the Last 3 Years | 0.01 | 0.01 | 0.01 | |
| Number of Fatalities as a Result of Work-related Injuries | No. | 2 | ||
| Number of Fatalities of the Last 3 Years | No. | 2 | 2 | 2 |
| Number of Work-related Fatalities | No. | 2 | ||
| Number of Work-related Fatalities for Direct Employee | No. | 2 | ||
| Work-related Fatalities Rate | 0.03 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Working Days Due to Work-related Injuries (Contractor) | Days | 15 | ||
| Lost Working Days Due to Work-related Injuries (Employees) | Days | 933 | 506 | |
| Rate of Work-related Injuries | 0.09 | 1.05 | 0.19 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Safety knowledge lectures | events per year | 12 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | 100 | 100 |
| Percentage of Trained Female Employees | % | 100 | 98 | 100 |
| Percentage of Trained General Employees | % | 100 | 100 | 99 |
| Percentage of Trained Male Employees | % | 100 | 100 | 99 |
| Percentage of Trained Middle Management | % | 100 | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 99 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | 38.92 | 14.41 | 16.8 |
| Average Training Hours (General Staff) | hours | 62.65 | 34.08 | 13.3 |
| Average Training Hours (Male) | hours | 66.2 | 40.3 | 11 |
| Average Training Hours (Middle Management) | hours | 35.96 | 38.42 | 8.3 |
| Average Training Hours (Senior Management) | hours | 41.05 | 29.04 | 10.7 |
| Average Training Hours per Employee | hour | 60 | 29 | 35 |
| Total Training Hours | hour | 266791 | ||
| Training Hours of Anti-corruption | Hour | 1.63 | ||
| Training Hours of Cybersecurity | Hour | 1.65 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Total Suppliers | 1288 | |
| Proportion of Spending on Local Suppliers | % | 56 |
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 |
|---|---|
| Number of Suppliers Certified to ISO 45001 Occupational Health and Safety Management System | % |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit |
|---|---|
| Coverage Rate of Ethical Standards and Anti-Corruption Training | percent |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Participating in Volunteer Activities | No. | 1438 | 3074 | 6828 |
| Total Volunteer Service Hours | Hours | 6810 | 86660 | 189410 |