Environmental, Social and Governance Report 2024

Year: 2024
Published: 2025-04-25
Status: Processed

Extracted ESG KPIs

KPIs are organized by ESG aspects.

The types of emissions and respective emissions data.

Indicator Unit 2022 2023 2024 2030 Report Pages
Nitrogen oxides emissions (Hong Kong) kg 123 174 191 16
Nitrogen oxides emissions (Mainland China) kg 180 181 138 17
Sulphur oxides emissions (Hong Kong) kg 0.6 0.9 1 16
Sulphur oxides emissions (Mainland China) kg 0.9 0.9 0.69 17
Targeted reduction of Nitrogen oxides (NOx) emissions kg 180 8
Targeted reduction of Sulfur oxides (SOx) emissions kg 0.9 8

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
Emission intensity (Hong Kong) tCO2e/HK$'m revenue 32.8 30.2 30 16
Emission intensity (Mainland China) tCO2e/HK$'m revenue 39.2 35.9 39 17
Scope 1 direct emissions (Hong Kong) tCO2e 1565 2209 2424 16
Scope 1 direct emissions (Mainland China) tCO2e 2285 2295 1763 17
Scope 2 indirect emissions (Hong Kong) tCO2e 41387 51719 46264 16
Scope 2 indirect emissions (Mainland China) tCO2e 34625 34745 29395 17
Total emission (Hong Kong) tCO2e 42953 53929 48689 16
Total emission (Mainland China) tCO2e 36910 37040 31158 17

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 intensity (Hong Kong) tonne/HK$'m revenue N/A N/A N/A 16
Hazardous waste intensity (Mainland China) tonne/HK$'m revenue N/A N/A N/A 17
Total hazardous waste produced (Hong Kong) tonne N/A N/A N/A 16
Total hazardous waste produced (Mainland China) tonne N/A N/A N/A 17

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 intensity - Foodwaste (Hong Kong) tonne/HK$'m revenue 0.48 0.4 0.44 16
Non-hazardous waste intensity - Foodwaste (Mainland China) tonne/HK$'m revenue 1.67 1.57 1.61 17
Total non-hazardous waste produced - Foodwaste (Hong Kong) tonne 626 712 722 16
Total non-hazardous waste produced - Foodwaste (Mainland China) tonne 1567 1620 1291 17

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
Electricity consumption (Hong Kong) '000 kWh 78833 98513 88124 16
Electricity consumption (Mainland China) '000 kWh 64121 64343 54436 17
Energy intensity (Hong Kong) '000 kWh/HK$'m revenue 66.8 62 62.4 16
Energy intensity (Mainland China) '000 kWh/HK$'m revenue 81.3 74.5 80 17
Towngas consumption (Hong Kong) '000 kWh 8562 12078 13256 16
Towngas consumption (Mainland China) '000 kWh 12494 12548 9639 17

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

Indicator Unit 2022 2023 2024 Report Pages
Total water consumption (Hong Kong) m3 603695 739105 722867 16
Total water consumption (Mainland China) m3 828396 779757 627112 17
Water consumption intensity (Hong Kong) m3/HK$'m revenue 462 415 445 16
Water consumption intensity (Mainland China) m3/HK$'m revenue 879 756 783 17

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

Indicator Unit 2030 Report Pages
Targeted energy reduction compared to 2023 % 3 12

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
Packaging material intensity (Hong Kong) tonne/HK$'m revenue 0.15 0.11 0.11 16
Packaging material intensity (Mainland China) tonne/HK$'m revenue 0.28 0.19 0.14 17
Total packaging material used (Hong Kong) tonne 201 195 175 16
Total packaging material used (Mainland China) tonne 263 195 115 17

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

Indicator Unit 2022 2023 2024 Report Pages
Number of employees, female, logistic centres, age 30 or below 44 19
Number of employees, female, logistic centres, age 30–59 238 19
Number of employees, female, logistic centres, age 60 or above 31 19
Number of employees, female, logistic centres, total 364 347 313 19
Number of employees, female, office, age 30 or below 44 19
Number of employees, female, office, age 30–59 95 19
Number of employees, female, office, age 60 or above 2 19
Number of employees, female, office, total 187 188 141 19
Number of employees, female, restaurant, age 30 or below 127 19
Number of employees, female, restaurant, age 30–59 1548 19
Number of employees, female, restaurant, age 60 or above 232 19
Number of employees, female, restaurant, total 2590 2267 1907 19
Number of employees, male, logistic centres, age 30 or below 44 19
Number of employees, male, logistic centres, age 30–59 234 19
Number of employees, male, logistic centres, age 60 or above 11 19
Number of employees, male, logistic centres, total 319 313 289 19
Number of employees, male, office, age 30 or below 14 19
Number of employees, male, office, age 30–59 56 19
Number of employees, male, office, age 60 or above 12 19
Number of employees, male, office, total 108 98 82 19
Number of employees, male, restaurant, age 30 or below 259 19
Number of employees, male, restaurant, age 30–59 916 19
Number of employees, male, restaurant, age 60 or above 102 19
Number of employees, male, restaurant, total 1653 1600 1277 19
Number of employees, total 5221 4813 4009 19
Number of employees, total, age 30 or below 532 19
Number of employees, total, age 30–59 3087 19
Number of employees, total, age 60 or above 390 19
Number of employees, total, logistic centres 683 660 602 19
Number of employees, total, logistic centres, age 30 or below 88 19
Number of employees, total, logistic centres, age 30–59 472 19
Number of employees, total, logistic centres, age 60 or above 42 19
Number of employees, total, office 295 286 223 19
Number of employees, total, office, age 30 or below 58 19
Number of employees, total, office, age 30–59 151 19
Number of employees, total, office, age 60 or above 14 19
Number of employees, total, restaurant 4243 3867 3184 19
Number of employees, total, restaurant, age 30 or below 386 19
Number of employees, total, restaurant, age 30–59 2464 19
Number of employees, total, restaurant, age 60 or above 334 19

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

Indicator Unit 2022 2023 2024 Report Pages
Turnover rate, China, Logistics Centre % 4.91% 2.85% 2.37% 20
Turnover rate, China, Office % 1.52% 1.90% 1.04% 20
Turnover rate, China, Restaurants % 3.08% 3.38% 2.45% 20
Turnover rate, China, Total % 3.21% 3.18% 2.32% 20
Turnover rate, Hong Kong, Logistics Centre % 2.40% 2.56% 1.79% 20
Turnover rate, Hong Kong, Office % 2.99% 3.15% 2.93% 20
Turnover rate, Hong Kong, Restaurants % 5.55% 5.74% 4.14% 20
Turnover rate, Hong Kong, Total % 5.14% 5.33% 3.88% 20

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 (China, Female) % 20.34% 75.74% 35.9% 23
Percentage of employees trained (China, Male) % 37.20% 51.55% 32.65% 23
Percentage of employees trained (China, Middle Management) % 5.50% 80.38% 41.36% 23
Percentage of employees trained (China, Senior Management) % NA 100.00% 88.89% 23
Percentage of employees trained (Hong Kong, Female) % 20.34% 2.23% 0.65% 23
Percentage of employees trained (Hong Kong, Male) % 30.79% 7.54% 1.32% 23
Percentage of employees trained (Hong Kong, Middle Management) % 29.33% 7.91% 0.77% 23
Percentage of employees trained (Hong Kong, Senior Management) % 85.91% 65.22% 5.26% 23

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

Indicator Unit 2022 2023 2024 Report Pages
Average training hours per employee (China, Female) hours 2 4.04 6.77 23
Average training hours per employee (China, Male) hours 2 4.65 8.21 23
Average training hours per employee (China, Middle Management) hours 2 4.48 3.99 23
Average training hours per employee (China, Senior Management) hours NA 20.6 6 23
Average training hours per employee (Hong Kong, Female) hours 1.49 48.8 6.38 23
Average training hours per employee (Hong Kong, Male) hours 1.55 29.72 12.15 23
Average training hours per employee (Hong Kong, Middle Management) hours 0.68 41.45 21.23 23
Average training hours per employee (Hong Kong, Senior Management) hours 2.04 20.93 7.14 23

The types of emissions and respective emissions data.

Standard Indicator Unit 2022 2023 2024 2030
NOâ‚“ Emissions kg 303 355 329 180
SOâ‚“ Emissions kg 1.5 1.8 1.69 0.9

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) tCO2e 3850 4504 4187
Indirect Energy Emissions (Scope 2) tCO2e 76012 86464 75659
Total GHG Emissions tCO2e 79863 90969 79847
Total GHG Emissions Intensity (By Revenue) tCO2e/HK$'m revenue None None None

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 (Kitchen Waste) tonne 1567 1620 722
Total Non-Hazardous Waste Intensity (By Revenue) tonne/HK$'m revenue 1.67 1.57 0.44

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
Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year %

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 Revenue) '000 kWh/HK$'m revenue 74.05 68.25 71.2
Grid Electricity Consumption '000 kWh 142954 162856 142560
Natural Gas Consumption '000 kWh 21056 24626 22895
Purchased Electricity '000 kWh 142954 162856 142560
Total Energy Consumption '000 kWh 164010 187482 165455
Total Indirect Energy Consumption '000 kWh 142954 162856 142560
Total Purchased Energy '000 kWh 164010 187482 165455

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

Standard Indicator Unit 2022 2023 2024
Water Consumption m3 828396 779757 722867
Water Consumption Intensity (By Revenue) m3/HK$'m revenue 879 756 783

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

Standard Indicator Unit 2030
Target Energy Consumption Reduction Percentage Compared to Last Year % 3

Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.

Standard Indicator Unit
Target Water Consumption Reduction Percentage Compared to Last Year %

Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.

Standard Indicator Unit 2022 2023 2024
Packaging Material Intensity (By Revenue) tonne/HK$'m revenue 0.28 0.19 0.14
Packaging Materials Consumed tonne 464 390 290

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 Above 50 persons 390
Number of Employees Aged Below 30 persons 532
Number of Female Employees persons 3141 2802 2361
Number of Male Employees persons 2080 2011 1648
Number of Total Employees persons 5221 4813 4009
Percentage of Employees Aged Above 50 percent 9.7
Percentage of Employees Aged Below 30 percent 13.3
Percentage of Female Employees percent 60.2 58.2 58.9
Percentage of Male Employees percent 39.8 41.8 41.1

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

Standard Indicator Unit 2022 2023 2024
Turnover Rate of Employees in Hong Kong % 5.14 5.33 3.88
Turnover Rate of Employees in Mainland China % 3.21 3.18 2.32

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 % 20.34 38.985 18.275
Percentage of Trained Hong Kong Employees % 25.565 4.885 0.985
Percentage of Trained Mainland China Employees % 28.77 63.645 34.275
Percentage of Trained Male Employees % 34 29.545 16.985
Percentage of Trained Middle Management % 17.415 44.145 21.065
Percentage of Trained Senior Management % 85.91 82.61 47.075

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

Standard Indicator Unit 2022 2023 2024
Average Training Hours (Female) hours 1.745 26.42 6.575
Average Training Hours (Hong Kong Employees) hours 1.52 39.26 9.265
Average Training Hours (Mainland China Employees) hours 2 4.345 7.49
Average Training Hours (Male) hours 1.775 17.185 10.18
Average Training Hours (Middle Management) hours 1.34 22.965 12.61
Average Training Hours (Senior Management) hours 2.04 20.765 6.57