SUSTAINABILITY REPORT 2022
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | 2021 | 2022 | 2100 | Report Pages |
|---|---|---|---|---|---|---|
| CO2e concentration under SSP2 RCP8.5 (Business-as-Usual) scenario | ppm | 1370 | 48 | |||
| Nitrogen Oxides (NOx) emission from WTE Projects | tonnes | 6701 | 38 | |||
| Nitrogen Oxides (NOx) emission intensity from WTE Projects | g/tonne of MSW processed | 548 | 38 | |||
| Nitrogen oxides (NOₓ) | tonne | 3383 | 5320 | 6701 | 95 | |
| Particulate Matter (PM) emission from WTE Projects | tonnes | 145 | 38 | |||
| Particulate Matter (PM) emission intensity from WTE Projects | g/tonne of MSW processed | 12 | 38 | |||
| Particulate matter (PM) | tonne | 80 | 132 | 145 | 95 | |
| Reduction of chemical oxygen demand (COD) discharge due to leachate treatment | tonnes | 169681 | 41 | |||
| Sulphur Dioxide (SO2) emission from WTE Projects | tonnes | 1160 | 38 | |||
| Sulphur Dioxide (SO2) emission intensity from WTE Projects | g/tonne of MSW processed | 95 | 38 | |||
| Sulphur dioxide (SO₂) | tonne | 405 | 712 | 1160 | 95 |
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 | 2020 | 2021 | 2022 | 2050 | Report Pages |
|---|---|---|---|---|---|---|
| CO2 equivalent emissions offset by Operating Projects | tonnes | 6138393 | 17 | |||
| CO2 equivalent emissions offset by operating WTE projects | tonnes | 6138393 | 10 | |||
| Energy-related CO2 emissions under Stated Policies Scenario (2050) | Gt | 32 | 56 | |||
| Other sources (based on C-CDM) | tCO2e | 10699 | 63 | |||
| Other sources (based on CDM) | tCO2e | 60712 | 63 | |||
| Remaining GHG Emissions (based on C-CDM) | tCO2e | -1051989 | 63 | |||
| Remaining GHG Emissions (based on CDM) | tCO2e | 1281355 | 63 | |||
| Remaining GHG emissions Based on C-CDM | tonne CO2e | (1484290) | (1490911) | (1051989) | 94 | |
| Remaining GHG emissions Based on CDM | tonne CO2e | 1201220 | 2326111 | 1281355 | 94 | |
| Remaining GHG emissions intensity Based on C-CDM | tonne CO2e/tonne of MSW processed | -0.214 | -0.15 | -0.086 | 94 | |
| Remaining GHG emissions intensity Based on CDM | tonne CO2e/tonne of MSW processed | 0.173 | 0.233 | 0.105 | 94 | |
| Scope 1 (Direct Emissions) (based on C-CDM) | tCO2e | 5048843 | 63 | |||
| Scope 1 (Direct Emissions) (based on CDM) | tCO2e | 7381957 | 63 | |||
| Scope 1 (Direct Emissions) Based on C-CDM | tonne CO2e | 2653773 | 3903852 | 5048843 | 94 | |
| Scope 1 (Direct Emissions) Based on CDM | tonne CO2e | 5339286 | 7720564 | 7381957 | 94 | |
| Scope 2 (Energy Indirect Emissions) (based on C-CDM) | tCO2e | 2749 | 63 | |||
| Scope 2 (Energy Indirect Emissions) (based on CDM) | tCO2e | 2980 | 63 | |||
| Scope 2 (Energy Indirect Emissions) Based on C-CDM | tonne CO2e | 3351 | 2264 | 2749 | 94 | |
| Scope 2 (Energy Indirect Emissions) Based on CDM | tonne CO2e | 3351 | 2574 | 2980 | 94 | |
| Scope 3 (Other Indirect Emissions) | tonne CO2e | 481 | 2626 | 34811 | 94 | |
| Scope 3 (Other Indirect Emissions) (based on C-CDM) | tCO2e | 34811 | 63 | |||
| Scope 3 (Other Indirect Emissions) (based on CDM) | tCO2e | 34811 | 63 | |||
| Total GHG Emissions (based on C-CDM) | tCO2e | 5086403 | 63 | |||
| Total GHG Emissions (based on CDM) | tCO2e | 7419748 | 63 | |||
| Total GHG Emissions Intensity (based on C-CDM) | tCO2e/tonnes of MSW processed | 0.416 | 63 | |||
| Total GHG Emissions Intensity (based on CDM) | tCO2e/tonnes of MSW processed | 0.607 | 63 | |||
| Total GHG emissions Based on C-CDM | tonne CO2e | 2657606 | 3908742 | 5086403 | 94 | |
| Total GHG emissions Based on CDM | tonne CO2e | 5343118 | 7725764 | 7419748 | 94 | |
| Total GHG emissions intensity Based on C-CDM | tonne CO2e/tonne of MSW processed | 0.383 | 0.392 | 0.416 | 94 | |
| Total GHG emissions intensity Based on CDM | tonne CO2e/tonne of MSW processed | 0.769 | 0.775 | 0.607 | 94 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Activated carbon consumption | tonne | 3312 | 4786 | 6071 | 44, 95 |
| Fly ash before stabilisation (hazardous waste) | tonnes | 238430 | 40 | ||
| Fly ash chelating agent consumption | tonne | Figures not available | 3444 | 5273 | 44, 95 |
| Fly ash produced before stabilisation | tonne | 124384 | 188712 | 238430 | 96 |
| Hazardous waste intensity | tonnes/MWh of electricity sold | 0.061 | 40 | ||
| Landfill waste incinerated with government assistance | tonnes | 1188332 | 87 | ||
| Leachate produced | tonne | 711717 | 1103091 | 1537213 | 96 |
| Liping project sludge cleared | m3 | 150 | 83 | ||
| Other hazardous waste | tonnes | 84 | 40 | ||
| Proportion of bottom ash in total waste generated by Canvest | % | 92 | 39 | ||
| Raw leachate treated by operating projects | tonnes | 1537213 | 41 | ||
| Sodium bicarbonate consumption | tonne | 78 | 33 | 55 | 44, 95 |
| Total hazardous waste generated | tonnes | 238514 | 40 | ||
| Ultimate landfill disposal (offsite) - hazardous waste | tonnes | 216728 | 40 | ||
| Ultimate landfill disposal (onsite) - hazardous waste | tonnes | 89127 | 40 | ||
| epidemic-related non-hazardous medical waste processed | tonnes | 12619 | 84 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2021–2022 | 2022 | 2050 | Report Pages |
|---|---|---|---|---|---|---|---|
| Annual emissions increase under SSP5 RCP8.5 (Unchecked Emissions) scenario | approximately doubling | 48 | |||||
| Bottom ash (non-hazardous waste) | tonnes | 2855044 | 40 | ||||
| Bottom ash produced | tonne | 1517896 | 2070505 | 2855044 | 96 | ||
| Incineration of MSW (based on C-CDM) | tCO2e | 5038144 | 63 | ||||
| Incineration of MSW (based on CDM) | tCO2e | 7321246 | 63 | ||||
| MSW Processed (Percentage Achieved, 2021–2022) | % | 22.2 | 35 | ||||
| MSW Processed (Progress, 2021–2022) | tonnes | 22194338 | 35 | ||||
| MSW processed | m³/day, tonne, tonnes/day | 6944529 | 9970133 | 12224205 | 26, 93 | ||
| Municipal solid waste (MSW) treated by WTE projects (including epidemic-related waste) | tonnes | 12224205 | 10 | ||||
| Non-hazardous waste intensity | tonnes/MWh of electricity sold | 0.725 | 40 | ||||
| PNCR material consumption | tonne | 202 | 31 | 5 | 44, 95 | ||
| Processed MSW | tonnes | 12224205 | 13 | ||||
| Qingyuan project garbage cleared | tonnes | 1800 | 83 | ||||
| Recycling/Recovery (offsite, eco-bricks production) - non-hazardous waste | tonnes | 2828553 | 40 | ||||
| Total non-hazardous waste generated | tonnes | 2855044 | 40 | ||||
| Ultimate landfill disposal (offsite) - non-hazardous waste | tonnes | 26491 | 40 | ||||
| epidemic-related domestic waste processed | tonnes | 14200 | 84 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2021 | 2022 | 2030 | 2100 | Report Pages |
|---|---|---|---|---|---|---|---|
| CO2 emissions under Net Zero Emissions by 2050 Scenario (2030) | Gt | 23 | 56 | ||||
| Financial cost | HK$'000 | 340642 | 411608 | 599784 | 92 | ||
| GHG emissions offset | tonne CO2e | 4141898 | 5399653 | 6138393 | 94 | ||
| GHG emissions stabilisation level under SSP2 RCP4.5 (Optimistic) scenario | ppm CO2e | 650 | 48 | ||||
| Offset CO2e emissions | tonnes | 6138393 | 13 | ||||
| Temperature increase limit under Net Zero Emissions by 2050 Scenario (2100) | °C | 1.5 | 56 |
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 | 2022 | Report Pages |
|---|---|---|---|
| GHG Emissions Offset (based on C-CDM) | tCO2e | 6138393 | 63 |
| GHG Emissions Offset (based on CDM) | tCO2e | 6138393 | 63 |
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 | 2020 | 2021 | 2021–2022 | 2022 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|
| Annual electricity consumption equivalent to power generated from Operating Projects | households | 3030966 | 16 | ||||
| Baoshan WTE Plant and phase 1 of Dazhou WTE Plant commenced operation (both classified as associates) | Commenced | 24 | |||||
| Cement consumption | tonne | Figures not available | 2168 | 951 | 44, 95 | ||
| Electricity consumption | GJ | 1170571 | 1835293 | 2162777 | 95 | ||
| Electricity from non-renewable sources | GJ | 18913 | 14236 | 14820 | 95 | ||
| Electricity from renewable sources | GJ | 1151658 | 1821057 | 2147957 | 95 | ||
| Energy intensity | GJ/tonne of MSW processed | 0.18 | 0.201 | 0.188 | 95 | ||
| Energy intensity (GJ/tonne of MSW processed) | GJ/tonne | 0.188 | 44 | ||||
| Fuel oil consumption | GJ | 54736 | 143040 | 118434 | 44, 95 | ||
| Green Electricity Sold (Percentage Achieved, 2021–2022) | % | 21 | 35 | ||||
| Green Electricity Sold (Progress, 2021–2022) | MWh | 7351578 | 35 | ||||
| Green electricity sold by Operating Projects | MWh | 3940256 | 17 | ||||
| Green electricity sold by WTE projects | MWh | 3940256 | 10 | ||||
| Grid-purchased electricity consumption | GJ | 14820 | 44 | ||||
| Hydrochloric acid consumption | tonne | 697 | 1429 | 1713 | 44, 95 | ||
| Increase in global energy demand per year under Stated Policies Scenario (to 2030) | % | 1 | 56 | ||||
| Lime consumption | tonne | 41377 | 65471 | 74405 | 44, 95 | ||
| Linfen WTE Plant commenced operation and connected to grid | Commenced | 24 | |||||
| MSW converted into electricity by WTE facilities | tonnes | 12224205 | 16 | ||||
| Natural gas consumption | GJ | 27318 | 24538 | 20994 | 44, 95 | ||
| Percentage of non-renewable energy consumed | % | 8 | 9 | 7 | 95 | ||
| Percentage of renewable energy connection to grid | % | 100 | 100 | 100 | 93 | ||
| Percentage of renewable energy generated | % | 100 | 100 | 100 | 93 | ||
| Power generated | MWh | 2754374 | 3919157 | 4536699 | 93 | ||
| Power sold | MWh | 2412437 | 3411322 | 3940256 | 93 | ||
| Self-generated electricity consumption | GJ | 2147957 | 44 | ||||
| Sold green electricity | MWh | 3940256 | 13 | ||||
| Standard coal conserved by Operating Projects | tonnes | 1200990 | 17 | ||||
| Standard coal consumption reduced by WTE projects | tonnes | 1200990 | 10 | ||||
| Taizhou WTE Plant commenced operation and connected to grid | Commenced | 24 | |||||
| Total energy consumed | GJ | 1252625 | 2002871 | 2302205 | 44, 95 | ||
| Transmission lines (overhead) | km | 111.37 | 13 | ||||
| Transmission lines (underground) | km | 36.49 | 13 | ||||
| Urea consumption | tonne | 5532 | 6128 | 3946 | 44, 95 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Ammonia water consumption | tonne | 4770 | 8131 | 10983 | 44, 95 |
| Freshwater consumption intensity | m³/MWh, m³/MWh of electricity sold | 4.619 | 4.78 | 4.478 | 45, 96 |
| Groundwater consumption | m³ | 157655 | 45 | ||
| Municipal water supplies or other water utilities consumption | m³ | 12189281 | 45 | ||
| Surface water consumption | m³ | 5298543 | 45 | ||
| Total freshwater consumption | m³ | 11143500 | 16306077 | 17645479 | 45, 96 |
| Total treated effluents from operating projects | m³ | 1204358 | 41 | ||
| Treated effluents discharged to municipal wastewater treatment systems, pursuant to the requirement of the local government | m³ | 239928 | 41 | ||
| Treated effluents reused within WTE plants | m³ | 964430 | 41 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2021 | 2022 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Coagulant & flocculant consumption | tonne | 163 | 175 | 251 | 44, 95 | |
| Percentage of renewable energy consumed | % | 92 | 91 | 93 | 95 | |
| Saved standard coal | tonnes | 1200990 | 13 | |||
| Spending on clean energy and infrastructure increase under Net Zero Emissions by 2050 Scenario (2030) | tripled | 56 | ||||
| Transmission loss | % | 0.42 | 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.
| Indicator | Unit | 2022 | 2040 | Report Pages |
|---|---|---|---|---|
| Percentage of operating projects with high water stress or above (SSP2 RCP4.5 Optimistic scenario in 2040) | % | 22.22 | 49 | |
| Percentage of operating projects with high water stress or above (SSP2 RCP8.5 Business-as-Usual scenario in 2040) | % | 22.22 | 49 | |
| Percentage of treated effluents reclaimed from WTE projects for replenishing cooling water, landscape irrigation, and garbage truck washing | over 80% | 41 | ||
| Reclaimed water reuse rate in Operating Projects | % | over 80 | 54 | |
| Water Stress (SSP2 RCP4.5 Optimistic in 2040) | Low | 52 | ||
| Water Stress (SSP2 RCP8.5 Business-as-Usual in 2040) | Low | 52 | ||
| Water Stress (SSP5 RCP8.5 Unchecked Emissions in 2040) | Low | 52 | ||
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Extremely high (By Percentage of Capital Investment in Projects) | % | 16.69 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Extremely high (By Percentage of Number of Projects) | % | 14.81 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — High (By Percentage of Capital Investment in Projects) | % | 7.14 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — High (By Percentage of Number of Projects) | % | 7.41 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Low (By Percentage of Capital Investment in Projects) | % | 33.93 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Low (By Percentage of Number of Projects) | % | 37.04 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Low to medium (By Percentage of Capital Investment in Projects) | % | 38.4 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Low to medium (By Percentage of Number of Projects) | % | 37.04 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Medium to high (By Percentage of Capital Investment in Projects) | % | 3.84 | 50 | |
| Water Stress: Business-as-Usual Scenario in 2040 (SSP2 RCP8.5) — Medium to high (By Percentage of Number of Projects) | % | 3.7 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Extremely high (By Percentage of Capital Investment in Projects) | % | 16.69 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Extremely high (By Percentage of Number of Projects) | % | 14.81 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — High (By Percentage of Capital Investment in Projects) | % | 7.14 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — High (By Percentage of Number of Projects) | % | 7.41 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Low (By Percentage of Capital Investment in Projects) | % | 33.93 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Low (By Percentage of Number of Projects) | % | 37.04 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Low to medium (By Percentage of Capital Investment in Projects) | % | 38.4 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Low to medium (By Percentage of Number of Projects) | % | 37.04 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Medium to high (By Percentage of Capital Investment in Projects) | % | 3.84 | 50 | |
| Water Stress: Optimistic Scenario in 2040 (SSP2 RCP4.5) — Medium to high (By Percentage of Number of Projects) | % | 3.7 | 50 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020–2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| China Scivest WTE Plant selected as Top 10 Guangdong Province Advanced Entities with Opened Environmental Facilities | Selected | 24 | |||
| China Scivest WTE Plant, Kewei WTE Plant and Xinfeng WTE Plant awarded EcoChallenger | Awarded | 24 | |||
| Dianbai WTE Plant awarded Luban Prize for China Construction Engineering 2020–2021 (National Prime-quality Project) and recognised as Grade AAA Innocuous Waste Incineration Plant | Awarded | 24 | |||
| Number of WTE projects (classified as subsidiaries) in operation | 27 | 13 | |||
| Number of operating, secured, and announced projects in portfolio | 36 | 9 | |||
| Number of tours organised to WTE projects | tours | 525 | 82 | ||
| Total number of visitors to WTE plants | 10580 | 17 | |||
| Total plan area of greeneries and ponds for flood retention | m² | 826602 | 61 | ||
| visitors in total visited WTE facilities | visitors | 10580 | 81 |
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 | 2022 | 2040 | 2100 | Report Pages |
|---|---|---|---|---|---|
| Average global temperature increase above pre-industrial baseline | °C | 1.5 | 46 | ||
| Coastal Flood Risk (SSP2 RCP4.5 Optimistic in 2040) | Low | 52 | |||
| Coastal Flood Risk (SSP5 RCP8.5 Unchecked Emissions in 2040) | Low | 52 | |||
| Establishment of Strategy and Sustainability Committee (ESG and Climate Risk Management Committee) | Established | 24 | |||
| Number of days of incidental operation suspension due to extreme weather events | Day | 0.1 | 61 | ||
| Percentage of capital investment in operating projects below projected 2040 sea level plus local annual flood height (SSP2 RCP4.5 and SSP5 RCP8.5 scenarios) | % | 9.11 | 51 | ||
| Percentage of capital investment in operating projects with high water stress or above (SSP2 RCP4.5 Optimistic scenario in 2040) | % | 23.82 | 49 | ||
| Percentage of capital investment in operating projects with high water stress or above (SSP2 RCP8.5 Business-as-Usual scenario in 2040) | % | 23.82 | 49 | ||
| Percentage of operating projects below projected 2040 sea level plus local annual flood height (SSP2 RCP4.5 and SSP5 RCP8.5 scenarios) | % | 7.41 | 51 | ||
| Temperature increase under SSP2 RCP4.5 (Optimistic) scenario | °C | 1.1–2.6 | 48 | ||
| Temperature increase under SSP2 RCP8.5 (Business-as-Usual) scenario | °C relative to 1986–2005 levels | 2.6–4.8 | 48 | ||
| Temperature increase under SSP5 RCP8.5 (Unchecked Emissions) scenario | °C above pre-industrial levels | 4.4 | 48 | ||
| Temperature increase under Stated Policies Scenario (2100) | °C | 2.5 | 56 | ||
| Total number of hours spent on climate-related emergency drills | Hour | 185 | 61 | ||
| Zhongshan WTE Plant selected as AAA National Tourist Attraction | Selected | 24 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Economic Value Retained (Retained for Canvest’s sustainable operation and development) | HK$'000 | 1394069 | 1808861 | 2050919 | 92 |
| Employee total entry by age group - 30 years old or below | employees | 280 | 72 | ||
| Employee total entry by age group - 31-50 years old | employees | 228 | 72 | ||
| Employee total entry by age group - Over 50 years old | employees | 17 | 72 | ||
| Employee total entry by ethnicity - Han | employees | 488 | 72 | ||
| Employee total entry by ethnicity - Minorities | employees | 37 | 72 | ||
| Employee total entry by gender - Female | employees | 97 | 72 | ||
| Employee total entry by gender - Male | employees | 428 | 72 | ||
| Employee total entry by region - Guangdong | employees | 314 | 72 | ||
| Employee total entry by region - Guangxi | employees | 18 | 72 | ||
| Employee total entry by region - Guizhou | employees | 11 | 72 | ||
| Employee total entry by region - Hong Kong | employees | 18 | 72 | ||
| Employee total entry by region - Jiangxi | employees | 156 | 72 | ||
| Employee total entry by region - Others | employees | 6 | 72 | ||
| Middle-level and senior management hired from local regions | percentage | >50% | 72 | ||
| New hires as percentage of total workforce | percentage | 20% | 72 | ||
| Number of Independent Non-Executive Directors | 4 | 25 | |||
| Number of Non-Executive Directors | 2 | 25 | |||
| Number of employees due to return to work after taking parental leave (Female) | 25 | 74 | |||
| Number of employees due to return to work after taking parental leave (Male) | 95 | 74 | |||
| Number of employees entitled to parental leave (Female) | 522 | 74 | |||
| Number of employees entitled to parental leave (Male) | 2140 | 74 | |||
| Number of employees took parental leave (Female) | 36 | 74 | |||
| Number of employees took parental leave (Male) | 96 | 74 | |||
| Number of full-time permanent staff | No. | 1383 | 2290 | 2662 | 97 |
| Number of full-time permanent staff, 30 years old or below | No. | 487 | 861 | 950 | 97 |
| Number of full-time permanent staff, 31–50 years old | No. | 815 | 1303 | 1536 | 97 |
| Number of full-time permanent staff, Ethnic minorities | No. | 124 | 221 | 233 | 97 |
| Number of full-time permanent staff, Female | No. | 275 | 455 | 522 | 97 |
| Number of full-time permanent staff, General and technical staff | No. | 1289 | 2091 | 2472 | 97 |
| Number of full-time permanent staff, Guangdong | No. | 984 | 1278 | 1328 | 97 |
| Number of full-time permanent staff, Guangxi | No. | 191 | 202 | 197 | 97 |
| Number of full-time permanent staff, Guizhou | No. | 93 | 174 | 180 | 97 |
| Number of full-time permanent staff, Han ethnicity | No. | 1259 | 2069 | 2429 | 97 |
| Number of full-time permanent staff, Hong Kong | No. | 27 | 28 | 26 | 97 |
| Number of full-time permanent staff, Jiangxi | No. | 88 | 90 | 87 | 97 |
| Number of full-time permanent staff, Male | No. | 1108 | 1835 | 2140 | 97 |
| Number of full-time permanent staff, Middle-level management | No. | 64 | 147 | 121 | 97 |
| Number of full-time permanent staff, Others (region) | No. | 518 | 844 | 97 | |
| Number of full-time permanent staff, Over 50 years old | No. | 81 | 126 | 176 | 97 |
| Number of full-time permanent staff, Senior management | No. | 30 | 52 | 69 | 97 |
| Number of new employee hires - 30 years old or below | No. | 132 | 374 | 280 | 98 |
| Number of new employee hires - 31–50 years old | No. | 114 | 333 | 228 | 98 |
| Number of new employee hires - Ethnic minorities | No. | 13 | 75 | 37 | 98 |
| Number of new employee hires - Female | No. | 38 | 124 | 97 | 98 |
| Number of new employee hires - Guangdong | No. | 185 | 295 | 156 | 98 |
| Number of new employee hires - Guangxi | No. | 21 | 41 | 11 | 98 |
| Number of new employee hires - Guizhou | No. | 14 | 63 | 20 | 98 |
| Number of new employee hires - Han ethnicity | No. | 234 | 646 | 488 | 98 |
| Number of new employee hires - Hong Kong | No. | 7 | 6 | 98 | |
| Number of new employee hires - Jiangxi | No. | 27 | 31 | 18 | 98 |
| Number of new employee hires - Male | No. | 209 | 597 | 428 | 98 |
| Number of new employee hires - Others (region) | No. | 284 | 314 | 98 | |
| Number of new employee hires - Over 50 years old | No. | 1 | 14 | 17 | 98 |
| Rate of New Employee Hires - Ethnic minorities (Ethnicity) | % | 10.48 | 33.94 | 15.88 | 99 |
| Ratio of standard entry-level wage to local minimum wage - Guangdong - Female | 1.97 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Guangdong - Male | 3.25 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Guangxi - Female | 1.93 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Guangxi - Male | 3.12 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Guizhou - Female | 2.12 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Guizhou - Male | 2.59 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Jiangxi - Female | 2.37 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Jiangxi - Male | 3.56 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Others - Female | 1.91 | 73 | |||
| Ratio of standard entry-level wage to local minimum wage - Others - Male | 2.5 | 73 | |||
| Staff costs | HK$'000 | 350564 | 488983 | 615353 | 92 |
| Total Workforce by Age Group - 30 years old or below | employees | 950 | 67 | ||
| Total Workforce by Age Group - 31-50 years old | employees | 1536 | 67 | ||
| Total Workforce by Age Group - Over 50 years old | employees | 176 | 67 | ||
| Total Workforce by Employee Category - General and technical staff | employees | 2472 | 67 | ||
| Total Workforce by Employee Category - Middle-level management | employees | 121 | 67 | ||
| Total Workforce by Employee Category - Senior management | employees | 69 | 67 | ||
| Total Workforce by Employment Form - Full-time | employees | 2662 | 67 | ||
| Total Workforce by Ethnic - Han | employees | 2429 | 67 | ||
| Total Workforce by Ethnic - Minorities | employees | 233 | 67 | ||
| Total Workforce by Gender - Female | employees | 522 | 67 | ||
| Total Workforce by Gender - Male | employees | 2140 | 67 | ||
| Total Workforce by Region - Guangdong | employees | 1328 | 67 | ||
| Total Workforce by Region - Guangxi | employees | 197 | 67 | ||
| Total Workforce by Region - Guizhou | employees | 87 | 67 | ||
| Total Workforce by Region - Hong Kong | employees | 26 | 67 | ||
| Total Workforce by Region - Jiangxi | employees | 844 | 67 | ||
| Total Workforce by Region - Others | employees | 180 | 67 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Employee Turnover Rate by Age Group - 30 years old or below | % | 15.4 | 20.44 | 17.16 | 101 |
| Employee Turnover Rate by Age Group - 31–50 | % | 10.31 | 12.66 | 11.07 | 101 |
| Employee Turnover Rate by Age Group - Over 50 years old | % | 18.52 | 9.52 | 13.07 | 101 |
| Employee Turnover Rate by Ethnicity - Ethnic minorities | % | 6.45 | 10.41 | 9.01 | 101 |
| Employee Turnover Rate by Ethnicity - Han | % | 13.19 | 15.95 | 13.79 | 101 |
| Employee Turnover Rate by Gender - Female | % | 11.27 | 13.19 | 12.45 | 101 |
| Employee Turnover Rate by Gender - Male | % | 12.91 | 15.97 | 13.6 | 101 |
| Employee Turnover Rate by Geographical Region - Guangdong | % | 11.99 | 14.24 | 9.86 | 101 |
| Employee Turnover Rate by Geographical Region - Guangxi | % | 7.85 | 14.85 | 6.09 | 101 |
| Employee Turnover Rate by Geographical Region - Guizhou | % | 13.98 | 8.05 | 8.89 | 101 |
| Employee Turnover Rate by Geographical Region - Hong Kong | % | 3.7 | 28.57 | 38.46 | 101 |
| Employee Turnover Rate by Geographical Region - Jiangxi | % | 30.68 | 32.22 | 24.14 | 101 |
| Employee Turnover Rate by Geographical Region - Others | % | 17.37 | 19.67 | 101 | |
| Employee Turnover — Number of Employee Turnover, 30 years old or below | No. | 75 | 176 | 163 | 100 |
| Employee Turnover — Number of Employee Turnover, 31–50 | No. | 84 | 165 | 170 | 100 |
| Employee Turnover — Number of Employee Turnover, Ethnic minorities | No. | 8 | 23 | 21 | 100 |
| Employee Turnover — Number of Employee Turnover, Female | No. | 31 | 60 | 65 | 100 |
| Employee Turnover — Number of Employee Turnover, Guangdong | No. | 118 | 182 | 131 | 100 |
| Employee Turnover — Number of Employee Turnover, Guangxi | No. | 15 | 30 | 12 | 100 |
| Employee Turnover — Number of Employee Turnover, Guizhou | No. | 13 | 14 | 16 | 100 |
| Employee Turnover — Number of Employee Turnover, Han ethnicity | No. | 166 | 330 | 335 | 100 |
| Employee Turnover — Number of Employee Turnover, Hong Kong | No. | 1 | 8 | 10 | 100 |
| Employee Turnover — Number of Employee Turnover, Jiangxi | No. | 27 | 29 | 21 | 100 |
| Employee Turnover — Number of Employee Turnover, Male | No. | 143 | 293 | 291 | 100 |
| Employee Turnover — Number of Employee Turnover, Others (region) | No. | 90 | 166 | 100 | |
| Employee Turnover — Number of Employee Turnover, Over 50 years old | No. | 15 | 12 | 23 | 100 |
| Employee total turnover by age group - 30 years old or below | employees | 163 | 72 | ||
| Employee total turnover by age group - 31-50 years old | employees | 170 | 72 | ||
| Employee total turnover by age group - Over 50 years old | employees | 23 | 72 | ||
| Employee total turnover by ethnicity - Han | employees | 335 | 72 | ||
| Employee total turnover by ethnicity - Minorities | employees | 21 | 72 | ||
| Employee total turnover by gender - Female | employees | 65 | 72 | ||
| Employee total turnover by gender - Male | employees | 291 | 72 | ||
| Employee total turnover by region - Guangdong | employees | 166 | 72 | ||
| Employee total turnover by region - Guangxi | employees | 21 | 72 | ||
| Employee total turnover by region - Guizhou | employees | 12 | 72 | ||
| Employee total turnover by region - Hong Kong | employees | 12 | 72 | ||
| Employee total turnover by region - Jiangxi | employees | 131 | 72 | ||
| Employee total turnover by region - Others | employees | 10 | 72 | ||
| Number of employees who returned to work after parental leave ended (Female) | 23 | 74 | |||
| Number of employees who returned to work after parental leave ended (Male) | 91 | 74 | |||
| Number of employees who returned to work after parental leave ended in 2021 and still employed by the end of 2022 (Female) | 12 | 74 | |||
| Number of employees who returned to work after parental leave ended in 2021 and still employed by the end of 2022 (Male) | 54 | 74 | |||
| Rate of New Employee Hires - 30 years old or below | % | 27.1 | 43.44 | 29.47 | 99 |
| Rate of New Employee Hires - 31–50 years old | % | 13.99 | 25.56 | 14.84 | 99 |
| Rate of New Employee Hires - Female | % | 13.82 | 27.25 | 18.58 | 99 |
| Rate of New Employee Hires - Guangdong | % | 18.8 | 23.08 | 11.75 | 99 |
| Rate of New Employee Hires - Guangxi | % | 10.99 | 20.3 | 5.58 | 99 |
| Rate of New Employee Hires - Guizhou | % | 15.05 | 36.21 | 11.11 | 99 |
| Rate of New Employee Hires - Han (Ethnicity) | % | 18.59 | 31.22 | 20.09 | 99 |
| Rate of New Employee Hires - Hong Kong | % | 25 | 23.08 | 99 | |
| Rate of New Employee Hires - Jiangxi | % | 30.68 | 34.44 | 20.69 | 99 |
| Rate of New Employee Hires - Male | % | 18.86 | 32.53 | 20 | 99 |
| Rate of New Employee Hires - Others (Geographical Region) | % | 54.83 | 37.2 | 99 | |
| Rate of New Employee Hires - Over 50 years old | % | 1.23 | 11.11 | 9.66 | 99 |
| Retention rate (%) (Female) | % | 63 | 74 | ||
| Retention rate (%) (Male) | % | 98 | 74 | ||
| Return to work rate (%) (Female) | % | 92 | 74 | ||
| Return to work rate (%) (Male) | % | 96 | 74 | ||
| Staff turnover and retirement as percentage of total workforce | percentage | 13% | 72 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number of high-consequence work-related injuries (excluding fatalities) (Employees/Contractors) | No. | 0/0 | 0/3 | 0/1 | 102 |
| Number of occupational disease cases (Employees/Contractors) | No. | 0/0 | 0/0 | 0/0 | 102 |
| Number of work-related fatalities (Employees/Contractors) | No. | 0/0 | 0/1 | 0/0 | 102 |
| Number of work-related injuries (Employees/Contractors) | No. | 0/2 | 0/4 | 0/1 | 102 |
| Overall injury rate of contractors | 0.09 | 78 | |||
| Rate of high-consequence work-related injury (excluding fatalities) (Employees/Contractors) | 0/0 | 0/0.1 | 0/0.09 | 102 | |
| Rate of work-related fatalities (Employees/Contractors) | 0/0 | 0/0.03 | 0/0 | 102 |
Lost days due to work injury.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Lost days due to work-related injury (Employees/Contractors) | Days | 0/120 | 0/468 | 0/15 | 102 |
| Rate of work-related injuries (Employees/Contractors) | 0/0.05 | 0/0.13 | 0/0.09 | 102 | |
| Total working hours of contractors | hours | 2135205 | 78 | ||
| Total working hours of employees | hours | 3996129 | 78 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Liping project emergency team size | people | 10 | 83 |
| Liping project emergency vehicles deployed | vehicles | 2 | 83 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Percentage of Employees Trained by Employment Category - General and technical staff | % | 91 | 100 | 100 | 101 |
| Percentage of Employees Trained by Employment Category - Middle-level management | % | 86 | 100 | 100 | 101 |
| Percentage of Employees Trained by Employment Category - Senior management | % | 97 | 100 | 100 | 101 |
| Percentage of Employees Trained by Gender - Female | % | 70 | 100 | 100 | 101 |
| Percentage of Employees Trained by Gender - Male | % | 96 | 100 | 100 | 101 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Anti-discrimination training (average training hours per employee) | hour | 1.52 | 76 | ||
| Average Training per Employee - Female | hours | 15.7 | 21.52 | 38.92 | 102 |
| Average Training per Employee - General and technical staff | hours | 33.02 | 52.9 | 62.65 | 102 |
| Average Training per Employee - Male | hours | 36.71 | 56.81 | 66.2 | 102 |
| Average Training per Employee - Middle-level management | hours | 25.28 | 16.23 | 35.96 | 102 |
| Average Training per Employee - Senior management | hours | 26.8 | 19.97 | 41.05 | 102 |
| Average training hours per employee | hour | 33 | 50 | 60 | 76 |
| Corporate social responsibility related training (average training hours per employee) | hour | 1.57 | 76 | ||
| Diversity, Equality and Inclusion training (average training hours per employee) | hour | 1.59 | 76 | ||
| Health and safety related training (average training hours per employee) | hour | 1.66 | 76 | ||
| Human rights related training (average training hours per employee) | hour | 1.55 | 76 | ||
| Information and cybersecurity awareness training (average training hours per employee) | hour | 1.63 | 76 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Number of commercial clients | 190 | 13 | |||
| Number of government clients | 145 | 13 | |||
| Number of suppliers | 981 | 13 | |||
| Number of suppliers, Guangdong | 477 | 31 | |||
| Number of suppliers, Guangxi | 60 | 31 | |||
| Number of suppliers, Guizhou | 36 | 31 | |||
| Number of suppliers, Hebei | 43 | 31 | |||
| Number of suppliers, Jiangsu | 83 | 31 | |||
| Number of suppliers, Jiangxi | 28 | 31 | |||
| Number of suppliers, Liaoning | 42 | 31 | |||
| Number of suppliers, Others | 111 | 31 | |||
| Number of suppliers, Shandong | 36 | 31 | |||
| Number of suppliers, Sichuan | 39 | 31 | |||
| Number of suppliers, Yunnan | 26 | 31 | |||
| Percentage of supply value from local suppliers | 76% | 31 | |||
| Share of net profits of associates and joint ventures | HK$'000 | 118195 | 96498 | 189934 | 92 |
| Total number of suppliers | 981 | 31 | |||
| Total supply value | million RMB | 1879 | 13 | ||
| Total supply value of goods and services | million RMB | 1879 | 31 |
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 | 2022 | Report Pages |
|---|---|---|---|
| Suppliers visited for performance validation (raw materials, equipment parts, machinery) | 16 | 32 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Suppliers with ISO 14001 certification | % | 14 | 32 |
| Suppliers with ISO 45001 (or OHSAS 18001) certification | % | 14 | 32 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Profit attributable to non-controlling interest | HK$'000 | 3393 | -2828 | 26658 | 92 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Anti-bribery training (average training hours per employee) | hour | 1.59 | 76 |
| Number of Executive Directors | 4 | 25 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Awarded 2022 Responsible Brand Award | Awarded | 24 | |||
| Lufeng WTE Plant and Dianbai WTE Plant awarded 2021 Environmental Education Centre of Guangdong Province | Awarded | 24 | |||
| Number of professional organisations where Canvest was an executive council member or corporate member | organisations | 33 | 88 | ||
| Number of provinces and municipalities in China with projects | 12 | 9 | |||
| employees participated in welfare and charitable activities | employees | 1438 | 81 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Amount sponsored to support the community | million HKD | 8.8 | 17 | ||
| Charitable donations | HK$'000 | 2075 | 4520 | 8842 | 92 |
| Employee blood donations | ml | 26000 | 86 | ||
| Liping project volunteer hours worked | hours | 198 | 83 | ||
| Other income | HK$'000 | 211828 | 237809 | 215875 | 92 |
| Participated volunteers | No. | 691 | 1692 | 1438 | 92 |
| Revenue | HK$'000 | 4987906 | 6794571 | 8246645 | 92 |
| Shaoguan project blankets provided | sets | 200 | 83 | ||
| Shaoguan project cooking oil provided | kg | 800 | 83 | ||
| Shaoguan project rice provided | kg | 1000 | 83 | ||
| Taxes (current income tax, excludes deferred tax) | HK$'000 | 102920 | 123479 | 128465 | 92 |
| Total donations to support local community | million RMB | 5.6 | 85 | ||
| Total insurance claimed as a result of property damages due to climate/extreme weather events | RMB | 1355198 | 61 | ||
| Total insurance premium paid to protect property damages from climate risk/risk of extreme weather | RMB | 2434243 | 61 | ||
| Total value of two three-year green loans secured | HKD | 3191000000 | 65 | ||
| Voluntary hours | Hours | 3123 | 4449 | 6810 | 92 |
| hours of voluntary work | hours | 6810 | 81 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonne | 80 | 132 | 145 |
| NOₓ Emissions | tonne | 3383 | 5320 | 6701 |
| SOₓ Emissions | tonne | 405 | 712 | 1160 |
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 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonne CO2e | 2653773 | 3903852 | 5048843 |
| Indirect Energy Emissions (Scope 2) | tonne CO2e | 3351 | 2264 | 2749 |
| Total GHG Emissions | tonne CO2e | 2657606 | 3908742 | 5086403 |
| Total GHG Emissions Intensity (By Product Weight) | tonne CO2e/tonne of MSW processed | 0.383 | 0.392 | 0.416 |
| Total Other Indirect Energy Emissions (Scope 3) | tonne CO2e | 481 | 2626 | 34811 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Hazardous Waste Landfilling | tonnes | 305855 | ||
| Total Hazardous Waste | tonnes | 124384 | 188712 | 238514 |
| Total Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.061 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 6944529 | 9970133 | 12224205 |
| Non-Hazardous Waste Incineration | tonnes | 6944529 | 9970133 | 12224205 |
| Non-Hazardous Waste Landfilling | tonnes | 26491 | ||
| Non-Hazardous Waste Recycled | tonnes | 2828553 | ||
| Total Non-Hazardous Waste Generated | tonnes | 1517896 | 2070505 | 2855044 |
| Total Non-Hazardous Waste Incineration | tonnes | 6944529 | 9970133 | 12224205 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | tonnes/MWh of electricity sold | 0.725 | 0.725 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| CO2 Emissions Reduction Compared to Last Year | tonnes |
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 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Unit Product) | GJ/tonne of MSW processed | 0.18 | 0.201 | 0.188 |
| Fuel oil consumption | GJ | 54736 | 143040 | 118434 |
| Natural Gas Consumption | GJ | 27318 | 24538 | 20994 |
| Percentage of Renewable Energy Consumption | % | 92 | 91 | 93 |
| Renewable Energy Consumption | GJ | 1151658 | 1821057 | 2147957 |
| Total Energy Consumption | GJ | 1252625 | 2002871 | 2302205 |
| Total Non-Renewable Fuel Consumption | GJ | 18913 | 14236 | 14820 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Groundwater Consumption | m³ | 157655 | ||
| Municipal Water Consumption | m³ | 12189281 | ||
| Recycled Water Usage | m³ | 964430 | ||
| Surface Water Consumption | m³ | 5298543 | ||
| Total Wastewater Discharge | m³ | 1204358 | ||
| Water Consumption | m³ | 11143500 | 16306077 | 17645479 |
| Water Consumption Intensity (By Revenue) | m³/MWh | 4.619 | 4.78 | 4.478 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | tripled |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit |
|---|---|
| Total Investment in Ecological Restoration | RMB |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2022 | 2040 |
|---|---|---|---|
| Percentage of Funds Used to Implement Climate Projects | % | 16.69 | 9.11 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Contractors | 4484 | |||
| Number of Employees Aged 30-50 | No. | 815 | 1303 | 1536 |
| Number of Employees Aged Above 50 | No. | 81 | 126 | 176 |
| Number of Employees Aged Below 30 | No. | 487 | 861 | 950 |
| Number of Employees in Hong Kong | No. | 27 | 28 | 26 |
| Number of Employees in Mainland China | No. | 1356 | 2262 | 2636 |
| Number of Female Employees | No. | 275 | 455 | 522 |
| Number of Full-time Employees | No. | 1383 | 2290 | 2662 |
| Number of General Employees | No. | 1289 | 2091 | 2472 |
| Number of Male Employees | No. | 1108 | 1835 | 2140 |
| Number of Middle Management Employees | No. | 64 | 147 | 121 |
| Number of New Employees | No. | 247 | 707 | 525 |
| Number of New Employees (Above 50) | No. | 1 | 14 | 17 |
| Number of New Employees (Aged 30-50) | No. | 114 | 333 | 228 |
| Number of New Employees (Aged Below 30) | No. | 132 | 374 | 280 |
| Number of New Employees (Female) | No. | 38 | 124 | 97 |
| Number of New Employees (Hong Kong) | No. | 7 | 6 | |
| Number of New Employees (Male) | No. | 209 | 597 | 428 |
| Number of Senior Management Employees | No. | 30 | 52 | 69 |
| Number of Total Employees | No. | 1383 | 2290 | 2662 |
| Percentage of Employees Aged 30-50 | % | 58.91 | 56.92 | 57.72 |
| Percentage of Employees Aged Above 50 | % | 5.86 | 5.5 | 6.61 |
| Percentage of Employees Aged Below 30 | % | 35.22 | 37.62 | 35.7 |
| Percentage of Employees in Hong Kong | % | 1.95 | 1.22 | 0.98 |
| Percentage of Employees in Mainland China | % | 98.05 | 98.78 | 99.02 |
| Percentage of Female Employees | % | 19.87 | 19.87 | 19.59 |
| Percentage of Full-time Employees | % | 100 | 100 | 100 |
| Percentage of General Employees | % | 93.2 | 91.31 | 92.86 |
| Percentage of Male Employees | % | 80.13 | 80.13 | 80.41 |
| Percentage of Middle Management Employees | % | 4.63 | 6.42 | 4.55 |
| Percentage of New Employees | % | 17.86 | 30.88 | 19.72 |
| Percentage of Senior Management Employees | % | 2.17 | 2.27 | 2.59 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 10.31 | 12.66 | 11.07 |
| Turnover Rate of Employees Aged Above 50 | % | 18.52 | 9.52 | 13.07 |
| Turnover Rate of Employees Aged Below 30 | % | 15.4 | 20.44 | 17.16 |
| Turnover Rate of Employees in Hong Kong | % | 3.7 | 28.57 | 38.46 |
| Turnover Rate of Female Employees | % | 11.27 | 13.19 | 12.45 |
| Turnover Rate of Male Employees | % | 12.91 | 15.97 | 13.6 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2021 |
|---|---|---|
| Number of Work-related Fatalities | No. | 1 |
| Number of Work-related Fatalities for Contractors | No. | 1 |
| Work-related Fatalities Rate | 0.03 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Lost Working Days Due to Work-related Injuries (Contractor) | Days | 120 | 468 | 15 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Production Safety Emergency Drills | drill | 1 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Percentage of Trained Female Employees | percent | 70 | 100 | 100 |
| Percentage of Trained General Employees | percent | 91 | 100 | 100 |
| Percentage of Trained Male Employees | percent | 96 | 100 | 100 |
| Percentage of Trained Middle Management | percent | 86 | 100 | 100 |
| Percentage of Trained Senior Management | percent | 97 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | 15.7 | 21.52 | 38.92 |
| Average Training Hours (General Staff) | hours | 33.02 | 52.9 | 62.65 |
| Average Training Hours (Male) | hours | 36.71 | 56.81 | 66.2 |
| Average Training Hours (Middle Management) | hours | 25.28 | 16.23 | 35.96 |
| Average Training Hours (Senior Management) | hours | 26.8 | 19.97 | 41.05 |
| Average Training Hours per Employee | hour | 33 | 50 | 60 |
| Training Hours of Cybersecurity | hour | 1.63 | ||
| Training Hours of ESG | hour | 1.57 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Total Suppliers | 981 | |
| Proportion of Spending on Local Suppliers | % | 76 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Suppliers Certified to ISO 14001 Environmental Management System | % | 14 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Average Hours of Anti-corruption Training | hour | 1.59 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Employees Participating in Volunteer Activities | No. | 691 | 1692 | 1438 |
| Total Volunteer Service Hours | Hours | 3123 | 4449 | 7008 |