Environmental, Social, and Governance Report 2024

Company: BANK OF E ASIA (23)
Year: 2024
Published: 2025-04-11
Status: Processed
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Extracted ESG KPIs

KPIs are organized by ESG aspects.

The types of emissions and respective emissions data.

Indicator Unit 2022 2023 2024 Report Pages
Emissions from gaseous fuel consumption - Nitrogen oxide (NOx) kilograms (kg) 6.79 8.47 8.67 96
Emissions from gaseous fuel consumption - Sulphur oxide (SOx) kilograms (kg) 0.03 0.04 0.04 96
Emissions from vehicles - NOx kg 641 512 164 96
Emissions from vehicles - Particulate matter 54 42 12 96
Emissions from vehicles - SOx kg 6.82 5.57 4.44 96

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 2019 2020 2021 2022 2023 2024 2030 Report Pages
2030 reduction target for Energy (Oil & Gas) sector (baseline emissions reduction) 26% 59
Absolute financed emissions in Energy (Oil & Gas) sector MtCO2e 1.78 1.86 59
Automotive Manufacturing Emission Intensity (gCO2e/vehicle kilometre) gCO2e/vehicle kilometre 113 61 60
Automotive Manufacturing data quality score Scope 1 & 2 1.1 57
Automotive Manufacturing data quality score Scope 3 1 57
Automotive Manufacturing emission intensity gCO2e/vkm 113 57
Automotive Manufacturing financed emissions Scope 1 & 2 MtCO2e 0.003 57
Automotive Manufacturing financed emissions Scope 3 MtCO2e 0.08 57
Business loans (Scope 3 emissions) MtCO2e 1.03 98
Corporate bonds (Scope 3 emissions) MtCO2e 2.06 98
Energy (Oil & Gas) data quality score Scope 1 & 2 2.4 57
Energy (Oil & Gas) data quality score Scope 3 3.8 57
Energy (Oil & Gas) financed emissions Scope 1 & 2 MtCO2e 0.74 57
Energy (Oil & Gas) financed emissions Scope 3 MtCO2e 1.11 57
IEA NZE reference scenario for Power sector emission intensity tCO2e/GWh 411 58
IEA NZE scenario projected emissions for Energy (Oil & Gas) sector MtCO2e 1.32 59
Listed equities (Scope 3 emissions) MtCO2e 0.004 98
Power data quality score Scope 1 & 2 3.4 3.1 57
Power emission intensity tCO2e/GWh electricity & heat generated 665 496 57
Power financed emissions Scope 1 & 2 MtCO2e 0.88 1.54 57
Power sector emission intensity tCO2e/GWh 665 496 58
Project finance (Scope 3 emissions) MtCO2e 1.03 98
Renewable energy sub-sector emission intensity (including waste-to-energy) tCO2e/GWh 448 58
Scope 1 and 2 GHG Emissions (tCO2e) tCO2e 33456 29778 28250 23269 22595 21237 82
Scope 1 and 2 emission intensity per unit of GFA tonnes CO2e/m2 0.11 0.11 0.11 98
Scope 1 and 2 emissions tonnes CO2e 23269 22595 21237 98
Scope 1 emissions tonnes CO2e 2807 3289 2254 98
Scope 2 emissions tonnes CO2e 20461 19306 18984 98
Scope 3 emissions (Investment) MtCO2e 4.13 98
Steel Emission Intensity (tCO2e/tonne of steel) tCO2e/tonne of steel 1.86 1.64 60
Steel data quality score Scope 1 & 2 2.8 57
Steel emission intensity tCO2e/t steel manufactured 1.86 57
Steel financed emissions Scope 1 & 2 MtCO2e 0.65 57
Total GHG emissions in Hong Kong - Scope 1 and 2 emission intensity per unit of GFA tonnes CO2e/m² 0.14 0.15 0.15 97
Total GHG emissions in Hong Kong - Scope 1 and 2 emissions 12294 12059 11088 97
Total GHG emissions in Hong Kong - Scope 1 emissions tonnes CO2e 1372 1932 944 97
Total GHG emissions in Hong Kong - Scope 2 emissions (Location-based) tonnes CO2e 10922 10127 10144 97
Total GHG emissions in other markets - Scope 1 and 2 emission intensity per unit of GFA tonnes CO2e/m² 0.1 0.09 0.11 97
Total GHG emissions in other markets - Scope 1 and 2 emissions 1469 1467 1659 97
Total GHG emissions in other markets - Scope 1 emissions tonnes CO2e 327 335 592 97
Total GHG emissions in other markets - Scope 2 emissions tonnes CO2e 1142 1133 1066 97
Total GHG emissions in the Chinese Mainland - Scope 1 and 2 emission intensity per unit of GFA tonnes CO2e/m² 0.09 0.09 0.08 97
Total GHG emissions in the Chinese Mainland - Scope 1 and 2 emissions 9506 9068 8490 97
Total GHG emissions in the Chinese Mainland - Scope 1 emissions tonnes CO2e 1109 1022 717 97
Total GHG emissions in the Chinese Mainland - Scope 2 emissions tonnes CO2e 8397 8046 7773 97

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
All waste 579 577 642 99
Hazardous waste - IT products 0.39 0.19 1.75 99
Hazardous waste - IT products recycled 0.39 0.19 1.75 99
Hazardous waste - Incineration N/A N/A N/A 99

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 - Food waste tonnes 20 20 37 99
Non-hazardous waste - Incineration tonnes 87 76 70 99
Non-hazardous waste - Landfill tonnes 176 173 244 99
Non-hazardous waste - Other general non-hazardous waste tonnes 247 207 272 99
Non-hazardous waste - Other recycled tonnes 4 7 15 99
Non-hazardous waste - Paper tonnes 311 350 331 99
Non-hazardous waste - Paper recycled tonnes 311 312 312 99
Paper waste intensity (kg/full-time employee) kg/full-time employee 37 43 42 99
Waste diverted from landfill 316 328 328 99

Description of emissions target(s) set and steps taken to achieve them.

Indicator Unit 2022 2023 2024 2025 2030 Report Pages
Automotive Manufacturing 2030 target (reduction vs baseline) gCO2e/vkm 61 (46%) 57
Automotive Manufacturing baseline performance gCO2e/vkm 113 57
Draft a Net Zero Operations Execution Plan with project payback evaluation tools Achieved 81
Energy (Oil & Gas) 2030 target (reduction vs baseline) MtCO2e 1.32 (26%) 57
Power 2030 target (reduction vs baseline) tCO2e/GWh electricity & heat generated 186 (72%) 57
Power baseline performance tCO2e/GWh electricity & heat generated 665 57
Power sector emission intensity target tCO2e/GWh 186 58
Previous 2030 reduction target for Energy (Oil & Gas) sector (baseline emissions reduction) 27% 59
Scope 1 and 2 emissions reduction target (against 2019 baseline) % 39 81
Steel 2030 target (reduction vs baseline) tCO2e/t steel manufactured 1.64 (12%) 57
Steel baseline performance tCO2e/t steel manufactured 1.86 57

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 2023 2024 Report Pages
Waste directed to disposal 263 249 314 99

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
Energy (Oil & Gas) baseline performance MtCO2e 1.78 57
Number of electric vehicles in Bank's vehicle fleet in Chinese Mainland (January) 99 82
Number of electric vehicles in Bank's vehicle fleet in Chinese Mainland (current) 89 82
Overall energy intensity of the Group by gross floor area (GFA) GJ/m² 0.75 0.74 0.74 96
Proportion of new energy vehicles in Bank's vehicle fleet in Chinese Mainland 8% 82
Proportion of new energy vehicles in Bank's vehicle fleet in Chinese Mainland (current) 10% 82
SLL issued to Tianjin branch for energy-efficient aircrafts in Chinese Mainland million USD 100 35
SLL issued to a global logistics service provider in Chinese Mainland million CNY 249 35
SLL with Wilmar International in Singapore million USD 100 35
Total electricity consumption from non-renewable sources (direct and indirect) mega kilowatt hours (MWh) 38798 37792 36946 96
Total electricity consumption from non-renewable sources within the organisation gigajoules (GJ) 139674 136052 133007 96
Total electricity consumption from renewable sources (direct and indirect) mega kilowatt hours (MWh) - - 322 96
Total electricity consumption from renewable sources within the organisation gigajoules (GJ) - - 1160 96
Total energy consumption (direct and indirect) by type mega kilowatt hours (MWh) 43791 42067 40803 96
Total energy consumption within the organisation gigajoules (GJ) 157646 151440 146890 96
Total fuel consumption from non-renewable sources (Diesel oil, petrol and town gas) (direct and indirect) mega kilowatt hours (MWh) 4992 4274 3534 96
Total fuel consumption from non-renewable sources (Diesel oil, petrol and town gas) within the organisation gigajoules (GJ) 17973 15388 12723 96

Water consumption in total and intensity (e.g. per unit of production volume, per facility).

Indicator Unit 2022 2023 2024 Report Pages
Total consumption of municipal fresh water m³ 115300 107823 99893 96
Water intensity per square metre of GFA m³/m² 0.55 0.53 0.51 96

Description of energy use efficiency target(s) set and steps taken to achieve them.

Indicator Unit 2025 Report Pages
Number of energy saving initiatives identified to be implemented across different markets in 2025 45 15

Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.

Indicator Unit 2022 2023 2024 Report Pages
Board of Directors - Aged 30-50 %, Number 4 23.5 2 105
Board of Directors - Executive Directors %, Number 17.6 17.6 17.6 105
Board of Directors - Female %, Number 1 1 1 105
Board of Directors - Independent Directors %, Number 41.2 41.2 41.2 105
Board of Directors - Male %, Number 16 16 94.1 105
Board of Directors - Other Non-executive Directors %, Number 41.2 7 7 105
Board of Directors - Over 50 %, Number 76.5 13 15 105
Board of Directors - Total Number 17 17 17 105
Employees entitled to parental leave (Female) 4943 4708 4400 102
Employees entitled to parental leave (Male) 3508 3432 3174 102
Employees who returned to work in the reporting period after parental leave (Female) Number 294 476 107 102
Employees who returned to work in the reporting period after parental leave (Male) Number 136 79 106 102
Mean gender pay gap % 26.6 101
Mean performance-related bonus gap % 20.5 101
Median gender pay gap % 26.7 101
Median performance-related bonus gap % 38.7 101
New hires by age group - Aged 30-50 persons 554 70
New hires by age group - Over 50 persons 70 70
New hires by age group - Under 30 persons 296 70
New hires by gender - Female persons 457 70
New hires by gender - Male persons 463 70
New hires by market - Chinese Mainland persons 108 70
New hires by market - Hong Kong persons 735 70
New hires by market - Other markets persons 77 70
Number of employees aged 30-50 Number 5888 5713 5591 100
Number of employees over 50 Number 1486 1473 1470 100
Number of employees under 30 Number 1077 954 819 100
Number of female employees Number 4943 4708 4579 100
Number of female employees with fixed term/temporary contract Number 43 40 40 100
Number of female employees with permanent contract Number 4900 4668 4539 100
Number of female full time employees Number 4907 4690 4565 100
Number of female part time employees Number 36 18 14 100
Number of fixed term/temporary contract employees in Chinese Mainland Number 1 2 100
Number of fixed term/temporary contract employees in Hong Kong Number 71 70 63 100
Number of fixed term/temporary contract employees in Other markets Number 10 14 12 100
Number of full time employees in Chinese Mainland Number 3058 2906 2766 100
Number of full time employees in Hong Kong Number 4793 4653 4549 100
Number of full time employees in Other markets Number 556 560 549 100
Number of male employees Number 3508 3432 3301 100
Number of male employees with fixed term/temporary contract Number 38 45 37 100
Number of male employees with permanent contract Number 3470 3387 3264 100
Number of male full time employees Number 3500 3429 3299 100
Number of male part time employees Number 8 3 2 100
Number of part time employees in Hong Kong Number 40 19 15 100
Number of part time employees in Other markets Number 4 2 1 100
Number of permanent contract employees in Chinese Mainland Number 3058 2905 2764 100
Number of permanent contract employees in Hong Kong Number 4762 4602 4501 100
Number of permanent contract employees in Other markets Number 550 548 538 100
Percentage of American employees (top 4 nationalities) % 0.8 0.9 100
Percentage of British employees (top 4 nationalities) % 3.2 2.7 100
Percentage of Chinese employees (top 4 nationalities) % 90.1 90 100
Percentage of Singaporean employees (top 4 nationalities) % 2.5 2.4 100
Share of women in STEM-related positions %, Number 249 27 100
Share of women in all management positions %, Number 2286 2327 100
Share of women in junior management positions %, Number 2049 54 100
Share of women in revenue-generating functions %, Number 55 56 100
Share of women in top management positions %, Number 44 7 100
Total new hires %, Number 11.8 101
Total new hires - Aged 30-50 %, Number 554 101
Total new hires - Chinese Mainland %, Number 109 101
Total new hires - Female %, Number 457 101
Total new hires - Hong Kong %, Number 735 101
Total new hires - Male %, Number 14.2 101
Total new hires - Other markets %, Number 14.2 101
Total new hires - Over 50 %, Number 70 101
Total new hires - Under 30 %, Number 36.9 101
Total number of employees Number 8451 8140 7880 100
Turnover by age group - Over 50 persons 258 70

Employee turnover rate by gender, age group and geographical region.

Indicator Unit 2022 2023 2024 Report Pages
Absentee rate (Chinese Mainland) % 1.7 1.6 102
Absentee rate (Other markets) % 2.1 2.1 102
Employees retained 12 months after returning from parental leave (Female) 160 473 432 102
Employees retained 12 months after returning from parental leave (Male) 73 48 68 102
Employees who took parental leave (Female) 365 491 122 102
Employees who took parental leave (Male) 152 84 106 102
Internal mobility cases increase % 5 70
Retention rate (Female) % 81.2 89.9 91.1 102
Retention rate (Male) % 90.1 64 86.1 102
Return to work rate (Female) % 84.7 98.8 91.5 102
Return to work rate (Male) % 89.5 95.2 100 102
Total turnover %, Number 1167 101
Total turnover - Aged 30-50 %, Number 686 101
Total turnover - Chinese Mainland %, Number 9 101
Total turnover - Female %, Number 12.8 101
Total turnover - Hong Kong %, Number 835 101
Total turnover - Male %, Number 18 101
Total turnover - Other markets %, Number 85 101
Total turnover - Over 50 %, Number 18.4 101
Total turnover - Under 30 %, Number 223 101
Turnover by age group - Aged 30-50 persons 686 70
Turnover by age group - Under 30 persons 223 70
Turnover by gender - Female persons 581 70
Turnover by gender - Male persons 586 70
Turnover by market - Chinese Mainland persons 207 70
Turnover by market - Hong Kong persons 835 70
Turnover by market - Other markets persons 85 70
Turnover rate for full-time employees % 15 70
Voluntary employee turnover rate % 9.9 101

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
High consequence work-related injuries (Chinese Mainland) 2 1 102
High consequence work-related injuries (Chinese Mainland, Rate) 0.06 0.04 102
High consequence work-related injuries (Hong Kong) 4 102
High consequence work-related injuries (Hong Kong, Rate) 0.08 102
High consequence work-related injuries (Total) 6 1 102
High consequence work-related injuries (Total, Rate) 0.07 0.01 102
Recordable work-related injuries (Chinese Mainland) 3 7 1 102
Recordable work-related injuries (Chinese Mainland, Rate) 0.1 0.24 0.04 102
Recordable work-related injuries (Hong Kong) 4 5 8 102
Recordable work-related injuries (Hong Kong, Rate) 0.08 0.11 0.18 102
Recordable work-related injuries (Total) 7 12 9 102
Recordable work-related injuries (Total, Rate) 0.08 0.15 0.11 102

Lost days due to work injury.

Indicator Unit 2022 2023 2024 Report Pages
Absentee rate (Hong Kong) % 2.3 1.9 102
Absentee rate (Total) % 2 1.8 102
Lost days due to work-related injury (Chinese Mainland) 655 111 224 102
Lost days due to work-related injury (Hong Kong) 934 527 88 102
Lost days due to work-related injury (Total) 1589 638 312 102

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 employees trained - Contract and part-time staff % 100 100 100 103
Percentage of employees trained - Female % 100 100 100 103
Percentage of employees trained - General manager and above % 100 100 100 103
Percentage of employees trained - Male % 100 100 100 103
Percentage of employees trained - Officer, clerical, and non-clerical % 100 100 100 103
Percentage of employees trained - Senior manager and manager % 100 100 100 103
Percentage of employees trained - Total % 100 100 100 103
Percentage of employees who received regular performance and career development review 100% 78

The average training hours completed per employee by gender and employee category.

Indicator Unit 2022 2023 2024 Report Pages
Amount invested in training and development million HK$ 11.5 78
Average hours of training hours 54 59 78
Average hours of training by employment category: Contract and part-time staff hours 55 78
Average hours of training by employment category: General manager and above hours 66 78
Average hours of training by employment category: Officer, clerical and non-clerical hours 65 78
Average hours of training by employment category: Senior manager and above hours 54 78
Average hours of training by gender: Female hours 60 78
Average hours of training by gender: Male hours 57 78
Average training hours per employee - Aged 30-50 Number 58 62 103
Average training hours per employee - Contract and part-time staff Number 24 35 55 103
Average training hours per employee - Female Number 52 52 60 103
Average training hours per employee - General manager and above Number 55 71 66 103
Average training hours per employee - Male Number 49 53 57 103
Average training hours per employee - Officer, clerical, and non-clerical Number 57 59 65 103
Average training hours per employee - Over 50 Number 32 42 103
Average training hours per employee - Senior manager and manager Number 46 51 54 103
Average training hours per employee - Total Number 51 54 59 103
Average training hours per employee - Under 30 Number 68 72 103
Total amount spent on training and development HKD 27767616 12825894 11549425 103
Total training hours Number 430682 441752 464172 103
Training hours by category - ESG 7.5 103
Training hours by category - Management training and development 7.2 103
Training hours by category - Others 39.5 103
Training hours by category - Risk management, compliance/legal knowledge % 32.1 103
Training hours by category - Tech and data 13.8 103
Training hours by category: ESG % 7.5 78
Training hours by category: Management Training and Development % 39.5 78
Training hours by category: Others % 7.2 78
Training hours by category: Risk Management, Compliance/Legal Knowledge % 13.8 78
Training hours by category: Tech & Data % 32.1 78

Number of suppliers by geographical region.

Indicator Unit 2022 2023 2024 Report Pages
GSF transactions in the UK (principal amount) million EUR 118 35
Suppliers in Chinese Mainland (≥ HK$50000 or equivalent per year) Number 750 434 431 104
Suppliers in Europe (≥ HK$50000 or equivalent per year) Number 111 119 108 104
Suppliers in Hong Kong (≥ HK$50000 or equivalent per year) Number 677 562 449 104
Suppliers in Macau and Taiwan (≥ HK$50000 or equivalent per year) Number 52 37 45 104
Suppliers in North America (≥ HK$50000 or equivalent per year) Number 81 86 68 104
Suppliers in Other regions (≥ HK$50000 or equivalent per year) Number 18 15 15 104
Suppliers in Rest of Asia (Singapore, Malaysia, Japan) (≥ HK$50000 or equivalent per year) Number 54 58 55 104
Total suppliers (≥ HK$50000 or equivalent per year) Number 1743 1311 1171 104

Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.

Indicator Unit 2024 Report Pages
New suppliers that were screened using environmental criteria Number 75 104
New suppliers that were screened using environmental criteria (percentage) % 72.8 104
New suppliers that were screened using social criteria Number 75 104
New suppliers that were screened using social criteria (percentage) % 72.8 104
Suppliers assessed for environmental impacts Number 863 104
Suppliers assessed for social impacts Number 863 104
Suppliers identified as having significant actual and potential negative environmental impacts Number 27 104
Suppliers identified as having significant actual and potential negative social impacts Number 27 104

Description of consumer data protection and privacy policies, and how they are implemented and monitored.

Indicator Unit 2023 Report Pages
Substantiated complaints regarding breaches of customer privacy and losses of customer data 1 106
Substantiated complaints regarding breaches of customer privacy and losses of customer data received from regulatory bodies 1 106

Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.

Indicator Unit 2022 Report Pages
Cost of fines, penalties or settlements in relation to corruption HKD (Mn) 19 106
Significant instances of non-compliance with laws and regulations Number 1 105
Significant instances of non-compliance with laws and regulations for which fines were incurred Number 1 105
Total number of fines for instances of non-compliance with laws and regulations that occurred in the reporting period Number 1 106

Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.

Indicator Unit 2024 Report Pages
Total number of reports received from whistleblowers Number 11 106

Description of anti-corruption training provided to directors and staff.

Indicator Unit 2023 2024 Report Pages
Board Directors who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Hong Kong) %, Number 15 88 106
Board Directors who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Other markets) %, Number 12 12 106
Board Directors who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Total) %, Number 100 17 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Chinese Mainland) %, Number 100 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Contract and part-time staff) %, Number 159 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (General manager and above) %, Number 35 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Hong Kong) %, Number 100 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Officer, clerical, and non-clerical) %, Number 3950 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Other markets) %, Number 100 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Senior manager and manager) %, Number 100 106
Employees who attended anti-corruption training/that BEA's anti-corruption policies and procedures have been communicated to (Total) %, Number 100 106

Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).

Indicator Unit 2022 2023 2024 Report Pages
Volunteers participated/engaged - Total Person time 841 895 3434 103

Resources contributed (e.g. money or time) to the focus area.

Indicator Unit 2022 2023 2024 Report Pages
Volunteering hours - During non-office hours Number 7238 8278 12200 103
Volunteering hours - During office hours Number 1830 697 2087 103
Volunteering hours - Total Number 9068 8975 14287 103

The types of emissions and respective emissions data.

Standard Indicator Unit 2022 2023 2024
Airborne Particulate Matter (PM) Emissions kg 54 42 12
NOâ‚“ Emissions kg 647.79 520.47 172.67
SOâ‚“ Emissions kg 6.85 5.61 4.48

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 2019 2020 2021 2022 2023 2024
Direct GHG Emissions (Scope 1) tonnes CO2e None None None 2807 3289 2254
Indirect Energy Emissions (Scope 2) tonnes CO2e None None None 20461 19306 18984
Scope 3 GHG Emissions (Investments) MtCO2e 4.13
Total GHG Emissions tCO2e 33456 29778 28250 23269 22595 21237
Total GHG Emissions Intensity (By Area) tonnes CO2e/m2 0.11 0.11 0.11

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 (Electronic and IT Equipment) 0.39 0.19 1.75
Hazardous Waste Recycled 0.39 0.19 1.75

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
Non-Hazardous Waste Incineration tonnes 87 76 70
Non-Hazardous Waste Landfilling tonnes 176 173 244
Non-Hazardous Waste Recycled tonnes 315 319 327
Paper Waste tonnes 311 350 331

Description of emissions target(s) set and steps taken to achieve them.

Standard Indicator Unit 2025
Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2019 % 39

Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.

Standard Indicator Unit 2023 2024
Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year % 5.32 -26.1

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 Area) GJ/m² 0.75 0.74 0.74
Purchased Electricity MWh 139674 136052 133007
Renewable Energy Consumption MWh 1160
Solar Energy kWh 136000
Total Energy Consumption MWh 43791 42067 146890
Total Non-Renewable Fuel Consumption MWh 4992 15388 3534

Water consumption in total and intensity (e.g. per unit of production volume, per facility).

Standard Indicator Unit 2022 2023 2024
Municipal Water Consumption m³ 115300 107823 99893

Description of energy use efficiency target(s) set and steps taken to achieve them.

Standard Indicator Unit 2025
Number of Energy-saving and Carbon Reduction Demonstration Projects Achieved 45
Target Electricity Usage Reduction Percentage Compared to Last Year %

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 Number 5888 5713 5591
Number of Employees Aged Above 50 Number 1486 1473 1470
Number of Employees Aged Below 30 Number 1077 954 819
Number of Female Employees Number 4943 4708 4579
Number of Full-time Employees Number 8407 8119 7864
Number of Full-time Employees (Female) Number 4907 4690 4565
Number of Full-time Employees (Male) Number 3500 3429 3299
Number of Male Employees Number 3508 3432 3301
Number of New Employees Number 920
Number of New Employees (Above 50) Number 70
Number of New Employees (Aged 30-50) Number 554
Number of New Employees (Aged Below 30) Number 296
Number of New Employees (Female) Number 457
Number of New Employees (Hong Kong) Number 735
Number of New Employees (Mainland China) Number 109
Number of New Employees (Male) Number 463
Number of New Employees (Overseas) Number 76
Number of Part-time Employees Number 44 21 16
Number of Part-time Employees (Female) Number 36 18 14
Number of Part-time Employees (Male) Number 8 3 2
Number of Temporary Workers Number 81 85 77
Number of Total Employees Number 8451 8140 7880
Percentage of Female Employees % 5.9 5.9 5.9
Percentage of Male Employees % 94.1 94.1 94.1
Percentage of New Employees % 11.8

Employee turnover rate by gender, age group and geographical region.

Standard Indicator Unit 2022 2023 2024
Employees still Employed 12 Months after Return to Work (Female) persons 160 473 432
Employees still Employed 12 Months after Return to Work (Male) persons 73 48 68
Percentage of Employees still Employed 12 Months after Return to Work (Female) % 81.2 89.9 91.1
Percentage of Employees still Employed 12 Months after Return to Work (Male) % 90.1 64 86.1
Turnover Rate of Employees Aged 30-50 % 12.3
Turnover Rate of Employees Aged Above 50 % 18.4
Turnover Rate of Employees Aged Below 30 % 27.8
Turnover Rate of Employees in Hong Kong % 18.6
Turnover Rate of Employees in Mainland China % 9
Turnover Rate of Employees in Overseas % 15.8
Turnover Rate of Female Employees % 12.8
Turnover Rate of Full-time Employees % 15
Turnover Rate of Male Employees % 18

Lost days due to work injury.

Standard Indicator Unit 2022 2023 2024
Lost Days Due to Work-related Injuries days 1589 638 312
Lost Days Due to Work-related Injuries (Hong Kong) days 934 527 88
Lost Days Due to Work-related Injuries (Mainland China) days 655 111 224

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 Contract Employees % 100 100 100
Percentage of Trained Female Employees % 100 100 100
Percentage of Trained General Employees % 100 100 100
Percentage of Trained Male Employees % 100 100 100
Percentage of Trained Senior Management % 100 100 100

The average training hours completed per employee by gender and employee category.

Standard Indicator Unit 2022 2023 2024
Average Training Hours (Contract Employees) hours 24 35 55
Average Training Hours (Employees Aged 30-50) hours 58 62
Average Training Hours (Employees Over 50) hours 32 42
Average Training Hours (Employees Under 30) hours 68 72
Average Training Hours (Female) hours 52 52 60
Average Training Hours (General Employees) hours 57 59 65
Average Training Hours (Male) hours 49 53 57
Average Training Hours (Senior Management) hours 55 71 66
Average Training Hours per Employee hours 51 54 59
Total Training Hours hours 430682 441752 464172
Training Hours of ESG % 7.5
Training Hours of Professional Skills Development % 39.5

Number of suppliers by geographical region.

Standard Indicator Unit 2022 2023 2024
Number of Suppliers in Europe Number 111 119 108
Number of Suppliers in Hong Kong Number 677 562 449
Number of Suppliers in Mainland China Number 750 434 431
Number of Total Suppliers Number 1743 1311 1171

Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.

Standard Indicator Unit 2024
Number of Suppliers Participated in Sustainability Risk Assessment Number 863

Description of consumer data protection and privacy policies, and how they are implemented and monitored.

Standard Indicator Unit 2023
Number of Customer Privacy Related Complaints Number 1

Description of anti-corruption training provided to directors and staff.

Standard Indicator Unit 2023 2024
Anti-corruption Training Coverage among Directors and Management % 100 100
Coverage Rate of Ethical Standards and Anti-Corruption Training % 100 100
Coverage of Anti-corruption Training for Employees % 100
Number of Directors and Management Attendance for Anti-corruption Training Number 17 17
Number of General Employees Attendance for Anti-corruption Training Number 9141
Number of People Participated in Ethical Standards and Anti-corruption Training Number 17 9158

Resources contributed (e.g. money or time) to the focus area.

Standard Indicator Unit 2022 2023 2024
Team Member Volunteer Hours during Paid Work Time Number 1830 697 2087
Total Volunteer Service Hours Number 9068 8975 14287
Volunteering Hours during Non-office Hours Number 7238 8278 12200