2024 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Container shipping business - NOx emission intensity decrease compared to 2023 | % | 17.74 | 10 | ||
| Container shipping business - SOx emission intensity decrease compared to 2023 | % | 9.21 | 10 | ||
| Exhaust gas - Nitrogen oxides | Tons | 496430 | 433000 | 346806 | 77 |
| Exhaust gas - Particulate matter | Tons | 44496 | 114681 | 139945 | 77 |
| Exhaust gas - Sulphur oxides | Tons | 163347 | 433000 | 478755 | 77 |
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 |
|---|---|---|---|---|---|
| Cargo greenhouse gas emission intensity | kg CO2 equivalent/ton-mile | 0.0131 | 31 | ||
| Container shipping business - GHG emission intensity decrease compared to 2023 | % | 17.86 | 10 | ||
| GHG emissions intensity (Port business) | Tons of carbon dioxide equivalent per million RMB revenue | 24.041 | 21.834 | 18.866 | 78 |
| GHG intensity of container business | tons of CO2 equivalent per million RMB revenue | 96.95 | 31 | ||
| GHG intensity of holding terminals | tons of CO2 equivalent per million RMB revenue | 18.84 | 31 | ||
| Greenhouse gas emissions - Scope I GHG emissions | Tons of carbon dioxide equivalent | 20764380 | 19828201 | 21887707 | 77 |
| Greenhouse gas emissions - Scope II GHG emissions | Tons of carbon dioxide equivalent | 14428 | 14740 | 20116 | 77 |
| Greenhouse gas emissions - Total GHG emissions (Scope I + Scope II) | Tons of carbon dioxide equivalent | 20778809 | 19842941 | 21907761 | 77 |
| Intensity of Greenhouse gas emissions | Tons of carbon dioxide equivalent per million RMB revenue | 53.13 | 118.02 | 96.95 | 77 |
| Scope I GHG emissions (Port business) | Tons of carbon dioxide equivalent | 84895 | 78497 | 76919 | 78 |
| Scope II GHG emissions (Port business) | Tons of carbon dioxide equivalent | 150661 | 148492 | 127026 | 78 |
| Total GHG emissions (Scope I + Scope II) (Port business) | Tons of carbon dioxide equivalent | 235556 | 226989 | 203945 | 78 |
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 |
|---|---|---|---|---|---|
| Hazardous waste (Port business) | Kilogram | 3554587 | 3121397 | 2391780 | 78 |
| Hazardous waste intensity (Port business) | Kilogram per million RMB revenue | 362.78 | 300.25 | 221.26 | 78 |
| Waste - Dangerous goods | TEU | 339761 | 440598 | 316528 | 77 |
| Waste - Hazardous waste | Tons | 446 | 570 | 560 | 77 |
| Waste - Intensity of hazardous waste | Kilogram per million RMB revenue | 1.14 | 3.39 | 2.48 | 77 |
Total non-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 |
|---|---|---|---|---|---|
| Non-hazardous waste (Port business) | Kilogram | 652972 | 1387032 | 1061847 | 78 |
| Non-hazardous waste intensity (Port business) | Kilogram per million RMB revenue | 66.64 | 133.42 | 98.23 | 78 |
| Waste - Intensity of non-hazardous waste | Kilogram per million RMB revenue | 2.53 | 7.78 | 5.23 | 77 |
| Waste - Non-hazardous waste | Tons | 987 | 440598 | 469178 | 77 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2030 | 2035 | Report Pages |
|---|---|---|---|---|---|
| GHG emission intensity of the holding terminals (target reduction compared with 2020) | % decrease | 55 | 37 | ||
| GHG emission intensity reduction target for container shipping business (compared with 2019) | % | 12 | 31 | ||
| GHG emission intensity reduction target for holding terminals (compared with 2020) | % | 20 | 31 | ||
| GHG intensity decrease of container business compared to 2019 | % | 34.49 | 31 | ||
| Greenhouse gas emission reduction through ship energy-saving retrofitting projects | tons of CO2 equivalent | 31300 | 31 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Diesel oil consumption (Port business) | Liters | 29275073 | 27180972 | 26622050 | 78 |
| Direct energy use - Acetylene | Kilogram | 1362 | 1710 | 1923 | 77 |
| Direct energy use - Biofuel | Tons | 61314 | 77 | ||
| Direct energy use - Diesel oil (light oil) | Tons | 238457 | 208651 | 245908 | 77 |
| Direct energy use - Fuel oil (heavy oil) | Tons | 6567804 | 6165618 | 6722394 | 77 |
| Direct energy use - Gasoline | Tons | 114 | 136 | 132 | 77 |
| Direct energy use - High-sulfur oil | Tons | 594944 | 776230 | 1625967 | 77 |
| Direct energy use - Natural gas | Cubic meters | 361895 | 411702 | 350100 | 77 |
| Direct energy use - Others (Liquefied petroleum gas) | Kilogram | 6295 | 4995 | 77 | |
| Direct energy use - Total | 1000 kWh | 79177312 | 74149638 | 81062658 | 77 |
| Direct energy use - Very Low-sulfur oil | Tons | 5972860 | 5389388 | 5096426 | 77 |
| Direct energy use intensity | 1000 kWh per million RMB revenue | 202 | 441 | 359 | 77 |
| Direct energy use intensity (Port business) | 1000 kWh per 10 thousand RMB revenue | 37309 | 32437 | 27803 | 78 |
| Energy consumption intensity (Port business) | Million megajoules per million RMB revenue | 64.270 | 57.434 | 53.807 | 78 |
| Gasoline consumption (Port business) | Liters | 211655 | 145815 | 173131 | 78 |
| Indirect energy use - Purchased electricity | 1000 kWh | 25300 | 26151 | 24884 | 77 |
| Indirect energy use intensity | 1000 kWh per million RMB revenue | 0.065 | 0.156 | 0.110 | 77 |
| Indirect energy use intensity (Port business) | 1000 kWh per 10 thousand RMB revenue | 26.961 | 24.997 | 26.004 | 78 |
| Liquefied natural gas consumption (Port business) | Liters | 3772843 | 3380215 | 1075324 | 78 |
| Liquefied petroleum gas consumption (Port business) | Liters | 36300 | 15100 | 78 | |
| Lubricating oil | Tons | 37108 | 36890 | 43076 | 77 |
| Natural gas consumption (Port business) | Cubic meters | 9042 | 14884 | 82352 | 78 |
| Purchased electricity (Port business) | 1000 kWh | 264166 | 259114 | 273256 | 78 |
| Ship biofuel consumption | tons | 53119 | 31 | ||
| Ship fuel oil consumption | tons | 4587383 | 31 | ||
| Solar power generation (Port business) | 1000 kWh | NA | 756 | 7846 | 78 |
| Terminal photovoltaic estimated annual power generation | MWh | 11000 | 37 | ||
| Terminal shore power system electricity consumption | MWh | 9590 | 37 | ||
| Total direct energy use (Port business) | 1000 kWh | 365556 | 337222 | 300556 | 78 |
| Total energy consumption (Port business) | 1000 kWh | 629722 | 597092 | 581657 | 78 |
| Total indirect energy use (Port business) | 1000 kWh | 264166 | 259869 | 281102 | 78 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Domestic water | Tons | 135712 | 143124 | 127207 | 77 |
| Total water consumption | Tons | 714587 | 824586 | 841041 | 77 |
| Total water consumption (Port business) | Cubic meters | 1167754 | 1233486 | 1199886 | 78 |
| Total water consumption intensity | Tons per million RMB revenue | 3.31 | 4.90 | 3.73 | 77 |
| Wastewater - Domestic wastewater | Tons | 132487 | 139665 | 123613 | 77 |
| Wastewater - Production wastewater treated | Tons | 63877 | 72253 | 68686 | 77 |
| Wastewater discharge (Port business) | Cubic meters | 402943 | 287564 | 645701 | 78 |
| Water consumption intensity (Port business) | Cubic meters/standard container | 119.181 | 118.648 | 110.998 | 78 |
| Water for production - Freshwater Consumption | Tons | 293578 | 392719 | 435457 | 77 |
| Water for production - Seawater desalination | Tons | 285297 | 288743 | 278378 | 77 |
| Water for production - Total consumption of water for production | Tons | 578875 | 681462 | 713835 | 77 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2035 | Report Pages |
|---|---|---|---|---|
| Energy Efficiency Design Index | 7.661 | 31 | ||
| Energy consumption intensity (decrease compared with 2020) | % decrease | 29.5 | 37 | |
| Energy consumption intensity of the holding terminals (target reduction compared with 2020) | % decrease | 45 | 37 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Material use - Lubricating oil and grease (Port business) | Kilogram | 463142 | 425075 | 372888 | 78 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Proportion of full-time employees (Port business) | % | 99.5 | 99.5 | 99.5 | 78 |
| Proportion of general employees (Port business) | % | 95 | 97 | 97 | 78 |
| Proportion of management level employees (Port business) | % | 5 | 3 | 3 | 78 |
| Proportion of part-time employees (Port business) | % | 0.5 | 0.5 | 0.5 | 78 |
| Proportion of regular Hong Kong employees (Port business) | % | 6 | 5 | 5 | 78 |
| Proportion of regular Mainland China employees (Port business) | % | 65 | 66 | 60 | 78 |
| Proportion of regular employee aged 30 or below (Port business) | % | 21 | 19 | 16 | 78 |
| Proportion of regular employee aged 50 or above (Port business) | % | 17 | 18 | 27 | 78 |
| Proportion of regular employee aged between 30 and 50 (excluding age 30 and 50) (Port business) | % | 63 | 62 | 57 | 78 |
| Proportion of regular female employees (Port business) | % | 38 | 36 | 42 | 78 |
| Proportion of regular male employees (Port business) | % | 62 | 64 | 58 | 78 |
| Proportion of regular overseas employees (Port business) | % | 29 | 29 | 34 | 78 |
| Total number of contractors (Port business) | People | 2469 | 2131 | 1825 | 78 |
| Total number of new employees aged 30 or below (Port business) | People | 1597 | 962 | 876 | 78 |
| Total number of new employees aged 50 or above (Port business) | People | 34 | 70 | 29 | 78 |
| Total number of new employees aged between 30 and 50 (excluding age 30 and 50) (Port business) | People | 635 | 563 | 752 | 78 |
| Total number of new employees in China (Port business) | People | 1112 | 793 | 602 | 78 |
| Total number of new employees in overseas (Port business) | People | 1128 | 828 | 1055 | 78 |
| Total number of new female employees (Port business) | People | 1193 | 699 | 650 | 78 |
| Total number of new male employees (Port business) | People | 1073 | 896 | 1007 | 78 |
| Total number of regular employees (Port business) | People | 31510 | 31654 | 32415 | 78 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate by age group - Regular employee aged 30 or below | % | 12.22 | 7.84 | 7.39 | 79 |
| Employee turnover rate by age group - Regular employees aged 50 or above | % | 1.58 | 2.18 | 0.95 | 79 |
| Employee turnover rate by age group - Regular employees aged between 30 and 50 (excluding 30 and 50) | % | 3.08 | 3.04 | 2.80 | 79 |
| Employee turnover rate by gender - Regular female employees | % | 5.30 | 4.28 | 3.39 | 79 |
| Employee turnover rate by gender - Regular male employee | % | 5.20 | 3.58 | 2.75 | 79 |
| Employee turnover rate by region - Overseas regular employees | % | 8.24 | 7.38 | 4.68 | 79 |
| Employee turnover rate by region - Regular employees in Hong Kong, China | % | 7.09 | 9.57 | 7.03 | 79 |
| Employee turnover rate by region - Regular employees in mainland China | % | 3.82 | 1.58 | 1.73 | 79 |
| Total turnover rate | % | 5.25 | 3.88 | 2.69 | 79 |
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 accidents causing work-related injuries | Case | 70 | 31 | 40 | 79 |
| Number of work-related injuries | People | 70 | 44 | 40 | 79 |
| Thousand-Person work injury rate | ‰ | 2.22 | 1.39 | 1.23 | 79 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of lost working days due to work-related injuries | Days | 1963 | 1440 | 1598 | 79 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Percentage of trained employees by gender - Female | % | 32 | 37 | 43 | 79 |
| Percentage of trained employees by gender - Male | % | 68 | 63 | 57 | 79 |
| Percentage of trained employees by rank - General employees | % | 94 | 93 | 97 | 79 |
| Percentage of trained employees by rank - Management level employees | % | 6 | 7 | 3 | 79 |
| Total number of employees trained | People | 31510 | 31654 | 28968 | 79 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours by gender - Female employees | Hours | 28 | 29 | 48 | 79 |
| Average training hours by gender - Male employees | Hours | 33 | 30 | 56 | 79 |
| Average training hours by rank - Management-level employees | Hours | 105 | 201 | 61 | 79 |
| General employees average training hours | Hours | 27 | 25 | 52 | 79 |
| Total training hours of employees by gender - Female | Hours | 335317 | 330667 | 579152 | 79 |
| Total training hours of employees by gender - Male | Hours | 648197 | 614038 | 943435 | 79 |
| Total training hours of employees by rank - General employees | Hours | 818044 | 753358 | 1473360 | 79 |
| Total training hours of employees by rank - Management level employees | Hours | 165470 | 191347 | 49227 | 79 |
| Total training hours of employees by training category - Anti-corruption and integrity | Hours | 37177 | 17657 | 70462 | 79 |
| Total training hours of employees by training category - Safety and environmental protection | Hours | 171417 | 146814 | 90838 | 79 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of suppliers - Suppliers in mainland China | 21135 | 24207 | 23864 | 79 | |
| Number of suppliers - Suppliers outside mainland China (including Hong Kong, Macao and Taiwan) | 19914 | 21943 | 24094 | 79 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of complaints received about products and services | Number of complaints | 514 | 249 | 271 | 79 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Complaint handling ratio | % | 100 | 100 | 100 | 79 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of information security drills conducted | Cases | 6 | 79 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total number of people participating in community or public welfare | Person/time | 3241 | 4939 | 4403 | 79 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total number of hours of participation in community or public welfare activities | Hours | 11685 | 16496 | 12757 | 79 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tons | 44496 | 114681 | 139945 |
| NOâ‚“ Emission Intensity (By Logistics) | % decrease vs 2023 | 17.74 | ||
| NOâ‚“ Emissions | Tons | 496430 | 433000 | 346806 |
| SOâ‚“ Emission Intensity (By Logistics) | % decrease vs 2023 | 9.21 | ||
| SOâ‚“ Emissions | Tons | 163347 | 433000 | 478755 |
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) | Tons of carbon dioxide equivalent | 20764380 | 19828201 | 21887707 |
| Indirect Energy Emissions (Scope 2) | Tons of carbon dioxide equivalent | 14428 | 14740 | 20116 |
| Total GHG Emissions | Tons of carbon dioxide equivalent | 20778809 | 19842941 | 21907761 |
| Total GHG Emissions Intensity (By Product Weight) | kg CO2 equivalent/ton-mile | 0.0131 | ||
| Total GHG Emissions Intensity (By Revenue) | Tons of carbon dioxide equivalent per million RMB revenue | 53.13 | 118.02 | 96.95 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Hazardous Waste (Ports and Related Services) | Kilogram | 3554587 | 3121397 | 2391780 |
| Total Hazardous Waste | Kilogram | 3554587 | 3121397 | 2391780 |
| Total Hazardous Waste Intensity (By Revenue) | Kilogram per million RMB revenue | 362.78 | 300.25 | 221.26 |
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 |
|---|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | Kilogram per million RMB revenue | 66.64 | 7.78 | 98.23 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2030 | 2035 |
|---|---|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tons of CO2 equivalent | 31300 | ||
| Percentage of Reduction in GHG Intensity Compared to Last Year | % | 34.49 | ||
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2019 | % | 12 | ||
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2020 | % | 20 | 55 |
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 |
|---|---|---|---|---|
| Diesel Fuel Consumption | Liters | 29275073 | 27180972 | 26622050 |
| Direct Energy Intensity (By Revenue) | 1000 kWh per 10 thousand RMB revenue | 37309 | 32437 | 27803 |
| Energy Consumption Intensity (By Revenue) | Million megajoules per million RMB revenue | 64.27 | 57.434 | 53.807 |
| Gasoline Consumption | Liters | 211655 | 145815 | 173131 |
| Indirect Energy Intensity (By Revenue) | 1000 kWh per 10 thousand RMB revenue | 26.961 | 24.997 | 26.004 |
| LNG Consumption | Liters | 3772843 | 3380215 | 1075324 |
| LPG Consumption | Liters | 36300 | 15100 | |
| Natural Gas Consumption | Cubic meters | 9042 | 14884 | 82352 |
| Purchased Electricity | 1000 kWh | 264166 | 259114 | 273256 |
| Solar Energy | 1000 kWh | 756 | 7846 | |
| Total Direct Energy Consumption | 1000 kWh | 365556 | 337222 | 300556 |
| Total Energy Consumption | 1000 kWh | 629722 | 597092 | 581657 |
| Total Indirect Energy Consumption | 1000 kWh | 264166 | 259869 | 281102 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Discharge of Domestic Wastewater | Tons | 132487 | 139665 | 123613 |
| Discharge of Industrial Wastewater | Tons | 63877 | 72253 | 68686 |
| Seawater Withdrawal | Tons | 285297 | 288743 | 278378 |
| Total Wastewater Discharge | Tons | 132487 | 139665 | 123613 |
| Total Water Withdrawal | Tons | 714587 | 824586 | 841041 |
| Water Consumption | Tons | 714587 | 824586 | 841041 |
| Water Consumption Intensity (By Revenue) | Tons per million RMB revenue | 3.31 | 4.9 | 3.73 |
| Water Consumption in Production and Operation | Tons | 578875 | 681462 | 713835 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 | 2035 |
|---|---|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % decrease | 29.5 | |
| Target Energy Consumption Reduction Percentage Compared to Last Year | % decrease | 45 |
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 | billion RMB |
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 Contractors | People | 2469 | 2131 | 1825 |
| Number of Employees Aged 30-50 | People | 19851 | 19625 | 18477 |
| Number of Employees Aged Above 50 | People | 5357 | 5698 | 8752 |
| Number of Employees Aged Below 30 | People | 6617 | 6014 | 5186 |
| Number of Female Employees | People | 11974 | 11395 | 13714 |
| Number of Full-time Employees | People | 31352 | 31495 | 32253 |
| Number of Male Employees | People | 19536 | 20259 | 18701 |
| Number of New Employees (Above 50) | People | 34 | 70 | 29 |
| Number of New Employees (Aged 30-50) | People | 635 | 563 | 752 |
| Number of New Employees (Aged Below 30) | People | 1597 | 962 | 876 |
| Number of New Employees (Female) | People | 1193 | 699 | 650 |
| Number of New Employees (Mainland China) | People | 1112 | 793 | 602 |
| Number of New Employees (Male) | People | 1073 | 896 | 1007 |
| Number of New Employees (Overseas) | People | 1128 | 828 | 1055 |
| Number of Part-time Employees | People | 158 | 159 | 162 |
| Number of Total Employees | People | 31510 | 31654 | 32415 |
| Percentage of Employees Aged 30-50 | % | 63 | 62 | 57 |
| Percentage of Employees Aged Above 50 | % | 17 | 18 | 27 |
| Percentage of Employees Aged Below 30 | % | 21 | 19 | 16 |
| Percentage of Employees in Hong Kong | % | 6 | 5 | 5 |
| Percentage of Employees in Mainland China | % | 65 | 66 | 60 |
| Percentage of Employees in Overseas | % | 29 | 29 | 34 |
| Percentage of Female Employees | % | 38 | 36 | 42 |
| Percentage of Full-time Employees | % | 99.5 | 99.5 | 99.5 |
| Percentage of Male Employees | % | 62 | 64 | 58 |
| Percentage of Part-time Employees | % | 0.5 | 0.5 | 0.5 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 3.08 | 3.04 | 2.8 |
| Turnover Rate of Employees Aged Above 50 | % | 1.58 | 2.18 | 0.95 |
| Turnover Rate of Employees Aged Below 30 | % | 12.22 | 7.84 | 7.39 |
| Turnover Rate of Employees in Hong Kong | % | 7.09 | 9.57 | 7.03 |
| Turnover Rate of Employees in Mainland China | % | 3.82 | 1.58 | 1.73 |
| Turnover Rate of Employees in Overseas | % | 8.24 | 7.38 | 4.68 |
| Turnover Rate of Female Employees | % | 5.3 | 4.28 | 3.39 |
| Turnover Rate of Male Employees | % | 5.2 | 3.58 | 2.75 |
| Turnover Rate of Total Employees | % | 5.25 | 3.88 | 2.69 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Days | 1963 | 1440 | 1598 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Trained Female Employees | % | 32 | 37 | 43 |
| Percentage of Trained General Employees | % | 94 | 93 | 97 |
| Percentage of Trained Male Employees | % | 68 | 63 | 57 |
| Percentage of Trained Senior Management | % | 6 | 7 | 3 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hours | 28 | 29 | 48 |
| Average Training Hours (General Employees) | Hours | 27 | 25 | 52 |
| Average Training Hours (Male) | Hours | 33 | 30 | 56 |
| Average Training Hours (Senior Management) | Hours | 105 | 201 | 61 |
| Total Training Hours | Hours | 983514 | 944705 | 1522587 |
| Training Hours of Anti-corruption | Hours | 37177 | 17657 | 70462 |
| Training Hours of ESG | Hours | 171417 | 146814 | 90838 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Mainland China | 21135 | 24207 | 23864 | |
| Number of Total Suppliers | 41049 | 46150 | 47958 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Products and Service Related Complaints | Number of complaints | 514 | 249 | 271 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Volunteer Service Hours | Hours | 11685 | 16496 | 12757 |