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 |
|---|---|---|---|---|---|
| Nitrogen oxide emissions | ton | 27971.5 | 29153.4 | 25573.2 | 79 |
| Particle emissions | ton | 2243.3 | 2139.2 | 2046.1 | 79 |
| Sulfur oxide emission | ton | 26.6 | 21.2 | 18.2 | 79 |
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 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Carbon footprint per parcel (gCO2e/parcel) | gCO2e/parcel | 807.87 | 709.79 | 20 | ||
| Carbon footprint per parcel in 2023 | gCO2e | 79.03 | 5 | |||
| Category 15: Investment (SF Excluding KLN) | tCO2e | 95779.7 | 48189 | 78 | ||
| Category 15: Investment (Total) | tCO2e | 95779.7 | 48189 | 78 | ||
| Category 1: Purchased goods and services (SF Excluding KLN) | tCO2e | 2522391.5 | 777520.1 | 841927.1 | 78 | |
| Category 1: Purchased goods and services (Total) | tCO2e | 2522391.5 | 777520.1 | 841927.1 | 78 | |
| Category 2: Capital goods (SF Excluding KLN) | tCO2e | 783387.2 | 207887.9 | 78 | ||
| Category 2: Capital goods (Total) | tCO2e | 783387.2 | 207887.9 | 78 | ||
| Category 3: Fuel and energy-related activities (SF Excluding KLN) | tCO2e | 1689195.7 | 1754182.2 | 1390234.7 | 78 | |
| Category 3: Fuel and energy-related activities (Total) | tCO2e | 1689195.7 | 1754182.2 | 1390234.7 | 78 | |
| Category 4: Upstream transportation and distribution (KLN) | tCO2e | 2070159 | 2149700 | 2792604 | 78 | |
| Category 4: Upstream transportation and distribution (SF Excluding KLN) | tCO2e | 2073065.9 | 2512644.8 | 78 | ||
| Category 4: Upstream transportation and distribution (Total) | tCO2e | 2070159 | 4222765.9 | 5305248.8 | 78 | |
| Category 6: Business trip (SF Excluding KLN) | tCO2e | 20721.2 | 41120.5 | 78 | ||
| Category 6: Business trip (Total) | tCO2e | 20721.2 | 41120.5 | 78 | ||
| Category 7: Employee commuting (SF Excluding KLN) | tCO2e | 24275.3 | 25070.6 | 25339.4 | 78 | |
| Category 7: Employee commuting (Total) | tCO2e | 24275.3 | 25070.6 | 25339.4 | 78 | |
| Category 8: Upstream leased assets (SF Excluding KLN) | tCO2e | 16899.5 | 78 | |||
| Category 8: Upstream leased assets (Total) | tCO2e | 16899.5 | 78 | |||
| Domestic automobile structure under high emission scenario | percent | 30.25 | 36 | |||
| Domestic automobile structure under low emission scenario | percent | 40 | 36 | |||
| Domestic carbon price under high emission scenario | RMB69.67/ton–RMB106.02/ton | 36 | ||||
| Domestic carbon price under low emission scenario | RMB207/ton | 36 | ||||
| Domestic greenhouse gas emissions under high emission scenario | increase by 40% compared with 2020 | 36 | ||||
| Domestic greenhouse gas emissions under low emission scenario | domestic product (GDP) will decrease by more than 65% compared with 2005 and 18.5% compared with 2020 | 36 | ||||
| Emission reductions contributed by other initiatives (tCO2e) (including 'SF Forest') | tCO2e | 1692 | 4829 | 20 | ||
| GHG emission intensity | tCO2e/million revenue (RMB) | 43.5 | 46.8 | 43.8 | 79 | |
| GHG emission intensity (tCO2e/million revenue) | tCO2e/million revenue | 4.54 | 4.12 | 20 | ||
| GHG emissions per parcel | g CO2e/parcel | 824.5 | 807 | 709.9 | 79 | |
| GHG removal from newly planted trees | tCO2e | 6 | 13.5 | 13.6 | 79 | |
| Scope 1 (KLN) | tCO2e | 322253 | 215018 | 116401 | 78 | |
| Scope 1 (SF Excluding KLN) | tCO2e | 3143752 | 2652365.1 | 3045612 | 78 | |
| Scope 1 (Total) | tCO2e | 3466005 | 2874104.1 | 3162013 | 78 | |
| Scope 2 (KLN) | tCO2e | 80543 | 79916 | 78409 | 78 | |
| Scope 2 (SF Excluding KLN) | tCO2e | 1804248.5 | 1465528.1 | 1328969.1 | 78 | |
| Scope 2 (Total) | tCO2e | 1884791.5 | 1545437.8 | 1407378.1 | 78 | |
| Scope 3 (KLN) | tCO2e | 2070159 | 2149700 | 2792604 | 78 | |
| Scope 3 (SF Excluding KLN) | tCO2e | 4237354.6 | 5541529.7 | 5088937.3 | 78 | |
| Scope 3 (Total) | tCO2e | 6307513.6 | 7691229.7 | 7881441.3 | 78 | |
| Total GHG emissions (KLN) | tCO2e | 2472955 | 2444634 | 2987414 | 78 | |
| Total GHG emissions (SF Excluding KLN) | tCO2e | 9185355.1 | 9659416.6 | 9463418.5 | 78 | |
| Total GHG emissions (Total) | tCO2e | 11658310.1 | 12104050.6 | 12450832.5 | 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 |
|---|---|---|---|---|---|
| Carbon efficiency achieved in 2023 | gCO2e/item | 41.2 | 5 | ||
| Category 5: Waste generated in operation (SF Excluding KLN) | tCO2e | 1492.1 | 3303.1 | 1053.5 | 78 |
| Category 5: Waste generated in operation (Total) | tCO2e | 1492.1 | 3303.1 | 1053.5 | 78 |
| Hazardous waste | ton | 142 | 54 | 95 | 81 |
| Hazardous waste intensity | ton/million revenue (RMB) | 0.00053 | 0.00021 | 0.002 | 81 |
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 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Amount of recycled waste | ton | 12652.4 | 81 | |||
| Carton | kg | 241291360 | 266797554.7 | 289325961.8 | 81 | |
| Express envelope | kg | 75219380 | 73596992.9 | 62496828.6 | 81 | |
| Foaming types of fillers | kg | 12814718.2 | 33000 | 17427517.5 | 81 | |
| Green packaging - reduction in use of paper | tons | 155000 | 38 | |||
| Green packaging - reduction in use of plastic bags | tons | 42000 | 38 | |||
| Green packaging - share of plastic bags to be switched to recycled plastic bags | 100% | 38 | ||||
| Non-hazardous waste | ton | 46096.3 | 155214.6 | 6345 | 81 | |
| Non-hazardous waste intensity | ton/million revenue (RMB) | 0.3 | 0.7 | 0.1 | 81 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | 2024 | 2030 | Report Pages |
|---|---|---|---|---|---|
| Carbon efficiency improvement target | improvement compared to 2021 | 55% | 38 | ||
| Carbon footprint reduction target per parcel | reduction compared to 2021 | 70% | 38 | ||
| GHG emissions reduced through green packaging (tCO2e) | tCO2e | 541089 | 664184 | 20 | |
| GHG emissions reduced through green transportation (tCO2e) | tCO2e | 374649 | 479327 | 20 | |
| GHG emissions reduced through technology innovation (tCO2e) | tCO2e | 1018036 | 1785121 | 20 | |
| Purchased carbon credits | tCO2e | 44 | 79 | ||
| Total GHG emissions reduced (tCO2e) | tCO2e | 2972306 | 20 |
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 | 2022 | 2023 | 2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Aviation kerosene consumption | MWh, tce | 596467.1 | 667012.9 | 6717577.2 | 79 | |||
| Clean energy - annual capacity of renewable energy generation | million kWh | 70 | 38 | |||||
| Clean energy - annual energy usage | million kWh | 42 | 38 | |||||
| Clean energy - installed capacity of photovoltaic projects | MW | 145 | 38 | |||||
| Clean energy - number of industrial parks with photovoltaic power stations | industrial parks | 24 | 38 | |||||
| Clean energy - planned installed capacity of new photovoltaic projects | MW | 55 | 38 | |||||
| Compressed natural gas consumption (KLN) | MWh, tce | 75431.1 | 25107.5 | 21416.5 | 80 | |||
| Compressed natural gas consumption (SF Excluding KLN) | MWh, tce | N/A | N/A | N/A | 80 | |||
| Compressed natural gas consumption (Total) | MWh, tce | 75431.1 | 25107.5 | 21416.5 | 80 | |||
| Diesel consumption | MWh, tce | 1673699.7 | 1407907.9 | 1238433.3 | 79 | |||
| Domestic energy structure under high emission scenario | percent | 16 | 36 | |||||
| Domestic energy structure under low emission scenario | percent | 20 | 25 | 36 | ||||
| Energy consumption intensity (KLN) | MWh/million revenue (RMB), tce/million revenue (RMB) | 24.6 | 25.6 | 1.6 | 80 | |||
| Energy consumption intensity (SF Excluding KLN) | MWh/million revenue (RMB), tce/million revenue (RMB) | 105.8 | 11.3 | 10.9 | 80 | |||
| Energy consumption intensity (Total) | MWh/million revenue (RMB), tce/million revenue (RMB) | 10.2 | 80.5 | 9.1 | 80 | |||
| Gas and oil consumption (KLN) | MWh, tce | 4031 | 4375 | 517.6 | 80 | |||
| Gas and oil consumption (SF Excluding KLN) | MWh, tce | N/A | N/A | N/A | 80 | |||
| Gas and oil consumption (Total) | MWh, tce | 495.1 | 4375 | 4214 | 80 | |||
| Gasoline consumption | MWh, tce | 1115450.1 | 172982.8 | 1883051.6 | 79 | |||
| Hydropower consumption (KLN) | MWh | 133 | 24 | 256 | 80 | |||
| Indirect energy consumption - Electricity consumption (KLN) | MWh, tce | 164389 | 167799 | 145144 | 80 | |||
| Indirect energy consumption - Electricity consumption (SF Excluding KLN) | MWh, tce | 1840522.7 | 258069.6 | 2081160.5 | 80 | |||
| Indirect energy consumption - Electricity consumption (Total) | MWh, tce | 246267.1 | 278680.7 | 2226304.5 | 80 | |||
| Liquefied petroleum gas consumption (KLN) | MWh, tce | 344.9 | 259.4 | 1870 | 80 | |||
| Liquefied petroleum gas consumption (SF Excluding KLN) | MWh, tce | N/A | N/A | N/A | 80 | |||
| Liquefied petroleum gas consumption (Total) | MWh, tce | 344.9 | 2112 | 229.7 | 80 | |||
| Natural gas consumption (KLN) | MWh, tce | 173.2 | 111.7 | 171.8 | 80 | |||
| Natural gas consumption (SF Excluding KLN) | MWh, tce | N/A | N/A | 165 | 80 | |||
| Natural gas consumption (Total) | MWh, tce | 173.2 | 909 | 1564 | 80 | |||
| Photovoltaic power generation (MWh) | MWh | 18393 | 70700 | 20 | ||||
| Solar energy consumption (KLN) | MWh | 768 | 1378 | 3581 | 80 | |||
| Solar energy consumption (SF Excluding KLN) | MWh | 7271.2 | 15712 | 44073.7 | 80 | |||
| Solar energy consumption (Total) | MWh | 8039.2 | 17090 | 47654.7 | 80 | |||
| Total energy consumption (KLN) | MWh, tce | 225732 | 144252.2 | 85105.8 | 80 | |||
| Total energy consumption (SF Excluding KLN) | MWh, tce | 20394318.8 | 19623384.8 | 2511195.1 | 80 | |||
| Total energy consumption (Total) | MWh, tce | 2730805 | 20797825.4 | 21137024.2 | 80 | |||
| Total energy sold (KLN) | MWh | 657 | 479 | 836 | 80 | |||
| Total energy sold (SF Excluding KLN) | MWh | 74.8 | 57.2 | 1330.3 | 80 | |||
| Total energy sold (Total) | MWh | 731.8 | 536.2 | 2166.3 | 80 | |||
| Total non-renewable energy consumption | MWh, tce | 20219697.7 | 2273919.4 | 18864975.3 | 79 | |||
| Total non-renewable energy consumption (KLN) | MWh | 901 | 1402 | 3837 | 80 | |||
| Total non-renewable energy consumption (SF Excluding KLN) | MWh | 7271.2 | 15712 | 44073.7 | 80 | |||
| Total non-renewable energy consumption (Total) | MWh | 8172.2 | 17114 | 47910.7 | 80 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Water withdraw (KLN) | ton | 1169181 | 1042625 | 747469 | 80 |
| Water withdraw (SF Excluding KLN) | ton | 1423452 | 1601051.4 | 2148565.7 | 80 |
| Water withdraw (Total) | ton | 2592633 | 2643676.4 | 2896034.7 | 80 |
| Water withdraw intensity | ton/million revenue (RMB) | 9.7 | 10.23 | 10.18 | 81 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Green transportation - number of new energy vehicles deployed | vehicles | 43000 | 38 |
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 |
|---|---|---|---|---|---|
| Inflatable type of fillers | kg | 28138702.8 | 31471756.8 | 31413031.9 | 81 |
| Plastic bags | kg | 41596926.6 | 52829619.9 | 64466526.2 | 81 |
| Total use of packaging materials | kg | 454296236 | 477113830.4 | 509788812.8 | 81 |
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 R&D personnel | Person | 5652 | 4637 | 4193 | 84 |
| Number of new female hires | Person | 61606 | 53884 | 41382 | 82 |
| Number of new hires | Person | 323493 | 305817 | 215118 | 82 |
| Number of truck drivers | Person | 32061 | 30034 | 32566 | 82 |
| Percentage of R&D investment to operating revenue | % | 1.3 | 1.3 | 1.1 | 84 |
| Percentage of workforce covered by collective agreement | % | 49 | 100 | 100 | 82 |
| Total workforce | Person | 743377 | 746577 | 739542 | 82 |
| Workforce by age - Aged 30-50 | Person | 485308 | 508251 | 492255 | 82 |
| Workforce by age - Aged below 30 | Person | 244875 | 226221 | 232004 | 82 |
| Workforce by age - Aged over 50 | Person | 13194 | 12105 | 15283 | 82 |
| Workforce by gender - Female | Person | 119397 | 119169 | 113300 | 82 |
| Workforce by gender - Male | Person | 623980 | 627408 | 626242 | 82 |
| Workforce by job functions - Management (including primary-level managers) | Person | 25374 | 26025 | 25940 | 82 |
| Workforce by job functions - Primary-level | Person | 670167 | 678627 | 672303 | 82 |
| Workforce by job functions - Professional | Person | 47804 | 43725 | 41069 | 82 |
| Workforce by job type - Full-time | Person | 630072 | 647728 | 629917 | 82 |
| Workforce by job type - Part-time | Person | 113305 | 98849 | 109625 | 82 |
| Workforce by region - Hong Kong, Macao and Taiwan | Person | 7158 | 7176 | 6662 | 82 |
| Workforce by region - Mainland China | Person | 699795 | 711666 | 707042 | 82 |
| Workforce by region - Overseas | Person | 36424 | 27735 | 25838 | 82 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of departures | Person | 142540 | 122037 | 119993 | 82 |
| Turnover rate | % | 19.2 | 16.3 | 16.2 | 82 |
| Turnover rate by age - Aged 30-50 | % | 13.6 | 12.4 | 12.1 | 82 |
| Turnover rate by age - Aged below 30 | % | 30.9 | 26.4 | 24.5 | 82 |
| Turnover rate by age - Aged over 50 | % | 7.2 | 7.4 | 8.2 | 82 |
| Turnover rate by gender - Female | % | 22.2 | 18.7 | 17.8 | 82 |
| Turnover rate by gender - Male | % | 18.6 | 15.9 | 15.6 | 82 |
| Turnover rate by region - Hong Kong, Macao and Taiwan | % | 25.3 | 22.5 | 23.6 | 82 |
| Turnover rate by region - Mainland China | % | 17.2 | 15.2 | 13.7 | 82 |
| Turnover rate by region - Overseas | % | 55.2 | 43.3 | 83.1 | 82 |
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 |
|---|---|---|---|---|---|
| Death rate due to work-related injuries | Per hundred workforce | 0.0073 | 0.0078 | 0.005 | 82 |
| Deaths due to work-related injuries | Person | 54 | 58 | 37 | 82 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Lost-time injury rate | Per million hours worked | 1.76 | 2.35 | 2.07 | 82 |
| Number of working days lost due to injury | Day | 36959 | 34282 | 39228 | 82 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee satisfaction | % | 86.4 | 87.8 | 92.3 | 82 |
| Number of trained workforce - Female | Person | 114873 | 112071 | 105820 | 83 |
| Number of trained workforce - Male | Person | 613328 | 612206 | 605503 | 83 |
| Number of trained workforce - Management (including primary-level managers) | Person | 24297 | 23053 | 23725 | 83 |
| Number of trained workforce - Primary-level | Person | 664951 | 663709 | 647448 | 83 |
| Number of trained workforce - Professional | Person | 38953 | 37565 | 39189 | 83 |
| Percentage of trained workforce | % | 98 | 97 | 96.2 | 83 |
| Percentage of trained workforce - Female | % | 15.8 | 15.5 | 14.9 | 83 |
| Percentage of trained workforce - Male | % | 84.2 | 84.5 | 85.1 | 83 |
| Percentage of trained workforce - Management (including primary-level managers) | % | 3.3 | 3.2 | 3.3 | 83 |
| Percentage of trained workforce - Primary-level | % | 91.3 | 91.6 | 91 | 83 |
| Percentage of trained workforce - Professional | % | 5.4 | 5.2 | 5.5 | 83 |
| The amount of R&D investment | RMB10000 | 352814 | 336329 | 309371 | 84 |
| Total number of trained workforce | Person | 728201 | 724277 | 711311 | 83 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours per trained workforce | Hour | 6 | 7.8 | 9.2 | 83 |
| Average training hours per trained workforce - Female | Hour | 6.1 | 7.9 | 9 | 83 |
| Average training hours per trained workforce - Male | Hour | 5.9 | 7.8 | 9.2 | 83 |
| Average training hours per trained workforce - Management (including primary-level managers) | Hour | 4.6 | 7.1 | 8.6 | 83 |
| Average training hours per trained workforce - Primary-level | Hour | 5.5 | 7.6 | 9.1 | 83 |
| Average training hours per trained workforce - Professional | Hour | 4.9 | 7.8 | 10.5 | 83 |
| Total number of training sessions | Session | 18923 | 34946 | 39047 | 83 |
| Total training hours | Hour | 4351473 | 5644982 | 6768687 | 83 |
| Training & development expenditure | RMB10000 | 6547 | 7887 | 10842 | 83 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Percentage of total spend on significant suppliers in Tier-1 | % | 98.4 | 83 | ||
| Total number of Tier-1 suppliers | Company | 610 | 83 | ||
| Total number of significant suppliers in Tier-1 | Company | 442 | 83 | ||
| Total number of significant suppliers in non Tier-1 | Company | 980 | 83 | ||
| Total number of suppliers | Company | 12414 | 10932 | 3881 | 83 |
| Total number of suppliers - Hong Kong, Macao and Taiwan | Company | 169 | 51 | 1 | 83 |
| Total number of suppliers - Mainland China | Company | 11728 | 10271 | 3872 | 83 |
| Total number of suppliers - Overseas | Company | 517 | 519 | 8 | 83 |
| Waybill | kg | 17620130.4 | 14257402.5 | 17101193.2 | 81 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Incidents of non-compliance concerning product and service information and labeling | There were no violations involving product and service information and labeling in 2024 in SF. | 90 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of products and service related valid complaints received | Case | 351 | 2195 | 11815 | 83 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of granted invention patents during the reporting period | Patent | 110 | 188 | 314 | 84 |
| Number of invention patent applications during the reporting period | Patent | 418 | 337 | 263 | 84 |
| Number of invention patents applied to the principal business | Patent | 682 | 730 | 783 | 84 |
| Number of valid patents during the reporting period | Patent | 1749 | 2003 | 2252 | 84 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Category 12: End-of-life treatment of sold products (SF Excluding KLN) | tCO2e | 10217.8 | 3560.9 | 78 | |
| Category 12: End-of-life treatment of sold products (Total) | tCO2e | 10217.8 | 3560.9 | 78 | |
| Scotch tapes | kg | 28412018 | 26013021.8 | 28721914.5 | 81 |
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 | 2023 | Report Pages |
|---|---|---|---|---|
| Number of legal proceedings brought and concluded against the Company or its workforce for corruption | Case | 2 | 4 | 83 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of directors involved in anti-corruption training | Person | 7 | 7 | 7 | 83 |
| Number of management involved in anti-corruption training | Person | 3714 | 83 | ||
| Number of workforce involved in anti-corruption training | Person | 67893 | 121701 | 59891 | 83 |
| Percentage of directors participating in anti-corruption training | % | 100 | 100 | 100 | 83 |
| Total hours of anti-corruption training | Hour | 32336 | 70703 | 62326 | 83 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Community activity expenses (excluding donations) | RMB10000 | 94 | 101 | 80 | 84 |
| Donations to community activities | RMB10000 | 11885 | 10590 | 7177 | 84 |
| Number of volunteer activity participations | Person-time | 7226 | 8921 | 7662 | 84 |
| Total hours of volunteer activity | Hour | 1206286 | 35308 | 35671 | 84 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | ton | 2243.3 | 2139.2 | 2046.1 |
| NOâ‚“ Emissions | ton | 27971.5 | 29153.4 | 25573.2 |
| SOâ‚“ Emissions | ton | 26.6 | 21.2 | 18.2 |
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 | 3466005 | 2874104.1 | 3162013 |
| GHG Removals from Newly Planted Trees | tCO2e | 6 | 13.5 | 13.6 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 1884791.5 | 1545437.8 | 1407378.1 |
| Scope 3 GHG Emissions (Business Travel) | tCO2e | 20721.2 | 41120.5 | |
| Scope 3 GHG Emissions (Capital Goods) | tCO2e | 783387.2 | 207887.9 | |
| Scope 3 GHG Emissions (Employee Commuting) | tCO2e | 24275.3 | 25070.6 | 25339.4 |
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | tCO2e | 1689195.7 | 1754182.2 | 1390234.7 |
| Scope 3 GHG Emissions (Investments) | tCO2e | 95779.7 | 48189 | |
| Scope 3 GHG Emissions (Purchased Goods/Services) | tCO2e | 2522391.5 | 777520.1 | 841927.1 |
| Scope 3 GHG Emissions (Upstream Leased Assets) | tCO2e | 16899.5 | ||
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | tCO2e | 2070159 | 4222765.9 | 5305248.8 |
| Total GHG Emissions | tCO2e | 11658310.1 | 12104050.6 | 12450832.5 |
| Total GHG Emissions Intensity (By Product Volume) | g CO2e/parcel | 824.5 | 807 | 709.9 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/million revenue (RMB) | 43.5 | 46.8 | 43.8 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 6307513.6 | 7691229.7 | 7881441.3 |
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 |
|---|---|---|---|---|
| Total Hazardous Waste | ton | 142 | 54 | 95 |
| Total Hazardous Waste Intensity (By Revenue) | ton/million revenue (RMB) | 0.00053 | 0.00021 | 0.002 |
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 (Domestic Waste) | ton | 74538.3 | 20113 | 78025.3 |
| Non-Hazardous Waste Recycled | ton | 3995 | 12652.4 | |
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/million revenue (RMB) | 0.3 | 0.7 | 0.3 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2024 | 2030 |
|---|---|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tCO2e | 1933774 | 2972306 | |
| Target GHG Emissions Reduction Percentage by 2030 Compared to 2021 | % | 70 | ||
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2021 | % | 55 |
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 |
|---|---|
| Plastic Waste Reduction Compared to Last Year | tons |
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 |
|---|---|---|---|---|
| CNG Consumption | MWh | 75431.1 | 25107.5 | 174356 |
| Diesel Fuel Consumption | MWh | 13623936.5 | 1407907.9 | 1238433.3 |
| Energy Consumption Intensity (By Revenue) | tce/million revenue (RMB) | 10.2 | 9.9 | 9.1 |
| Fossil Fuel Consumption | MWh | 20219697.7 | 2273919.4 | 18864975.3 |
| Gasoline Consumption | MWh | 137012.9 | 1408288.5 | 231298.8 |
| Hydropower Energy | MWh | 133 | 24 | 256 |
| LPG Consumption | MWh | 344.9 | 2112 | 1870 |
| Natural Gas Consumption | MWh | 1410 | 909 | 192.1 |
| Percentage of Renewable Energy Consumption | percent | 9.1 | 11 | 10.8 |
| Renewable Energy Consumption | MWh | 2012352.1 | 2285375.3 | 2272050 |
| Solar Energy | MWh | 8039.2 | 17090 | 47654.7 |
| Sold Electricity | MWh | 731.8 | 536.2 | 2166.3 |
| Total Energy Consumption | MWh | 2730805 | 20797825.4 | 2596300.9 |
| Total Indirect Energy Consumption | MWh | 246267.1 | 2268797.5 | 273461.2 |
| Total Non-Renewable Fuel Consumption | MWh | 20219697.7 | 2273919.4 | 2317220.8 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Water Withdrawal | ton | 2592633 | 2643676.4 | 2896034.7 |
| Water Withdrawal Intensity | ton/million revenue (RMB) | 9.7 | 22.8 | 9.3 |
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 Consumption (Plastic) | kg | 28138702.8 | 31471756.8 | 31413031.9 |
| Packaging Materials Consumed | kg | 454296236 | 482785830.4 | 513810812.8 |
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 | Person | 485308 | 508251 | 492255 |
| Number of Employees Aged Above 50 | Person | 13194 | 12105 | 15283 |
| Number of Employees Aged Below 30 | Person | 244875 | 226221 | 232004 |
| Number of Employees in Hong Kong | Person | 7158 | 7176 | 6662 |
| Number of Employees in Hong Kong and Mainland China | Person | 706953 | 718842 | 713704 |
| Number of Employees in Mainland China | Person | 699795 | 711666 | 707042 |
| Number of Employees in Overseas | Person | 36424 | 27735 | 25838 |
| Number of Female Employees | Person | 119397 | 119169 | 113300 |
| Number of Full-time Employees | Person | 630072 | 647728 | 629917 |
| Number of Male Employees | Person | 623980 | 627408 | 626242 |
| Number of New Employees | Person | 323493 | 305817 | 215118 |
| Number of New Employees (Female) | Person | 61606 | 53884 | 41382 |
| Number of Part-time Employees | Person | 113305 | 98849 | 109625 |
| Number of Total Employees | Person | 743377 | 746577 | 739542 |
| Percentage of Employees Aged 30-50 | % | 65.3 | 68.1 | 66.58 |
| Percentage of Employees Aged Above 50 | % | 1.78 | 1.62 | 2.07 |
| Percentage of Employees Aged Below 30 | % | 32.94 | 30.31 | 31.37 |
| Percentage of Employees in Hong Kong | % | 0.96 | 0.96 | 0.9 |
| Percentage of Employees in Hong Kong and Mainland China | % | 95.1 | 96.28 | 96.5 |
| Percentage of Employees in Mainland China | % | 94.14 | 95.31 | 95.61 |
| Percentage of Employees in Overseas | % | 4.9 | 3.72 | 3.49 |
| Percentage of Female Employees | % | 16.06 | 15.96 | 15.32 |
| Percentage of Full-time Employees | % | 84.8 | 86.8 | 85.21 |
| Percentage of Male Employees | % | 83.95 | 84.06 | 84.7 |
| Percentage of New Employees | % | 43.53 | 40.98 | 29.09 |
| Percentage of Part-time Employees | % | 15.24 | 13.24 | 14.83 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 13.6 | 12.4 | 12.1 |
| Turnover Rate of Employees Aged Above 50 | % | 7.2 | 7.4 | 8.2 |
| Turnover Rate of Employees Aged Below 30 | % | 30.9 | 26.4 | 24.5 |
| Turnover Rate of Employees in Hong Kong | % | 25.3 | 22.5 | 23.6 |
| Turnover Rate of Employees in Mainland China | % | 17.2 | 15.2 | 13.7 |
| Turnover Rate of Employees in Overseas | % | 55.2 | 43.3 | 83.1 |
| Turnover Rate of Female Employees | % | 22.2 | 18.7 | 17.8 |
| Turnover Rate of Male Employees | % | 18.6 | 15.9 | 15.6 |
| Turnover Rate of Total Employees | % | 19.2 | 16.3 | 16.2 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | Per hundred workforce | 0.0073 | 0.0078 | 0.005 |
| Fatalities Rate of the Last 3 Years | Per hundred workforce | 0.0201 | 0.0201 | 0.0201 |
| Number of Fatalities as a Result of Work-related Injuries | Person | 54 | 58 | 37 |
| Number of Fatalities of the Last 3 Years | Person | 149 | 149 | 149 |
| Number of Work-related Fatalities | Person | 54 | 58 | 37 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 36959 | 34282 | 39228 |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | Per million hours worked | 1.76 | 2.35 | 2.07 |
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 | % | 98 | 97 | 96.2 |
| Percentage of Trained Female Employees | % | 15.8 | 15.5 | 14.9 |
| Percentage of Trained Male Employees | % | 84.2 | 84.5 | 85.1 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hour | 6.1 | 7.9 | 9 |
| Average Training Hours (General Staff) | Hour | 5.5 | 7.6 | 9.1 |
| Average Training Hours (Male) | Hour | 5.9 | 7.8 | 9.2 |
| Average Training Hours (Professional) | Hour | 4.9 | 7.8 | 10.5 |
| Average Training Hours (Senior Management) | Hour | 4.6 | 7.1 | 8.6 |
| Average Training Hours per Employee | Hour | 6 | 7.8 | 9.2 |
| Total Training Hours | Hour | 4351473 | 5644982 | 6768687 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Suppliers in Hong Kong | Company | 169 | 51 | 1 |
| Number of Suppliers in Mainland China | Company | 11728 | 10271 | 3872 |
| Number of Suppliers in Overseas | Company | 517 | 519 | 8 |
| Number of Total Suppliers | Company | 12414 | 10932 | 3881 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Percentage of Critical Suppliers Covered by CSR Audit | percent |
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 | Case | 351 | 2195 | 11815 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Invention Patents | Patent | 110 | 188 | 314 |
| Number of New Patent Applications | Patent | 418 | 337 | 263 |
| Number of Patents Applied | Patent | 418 | 337 | 263 |
| Number of Patents Granted | Patent | 110 | 188 | 314 |
| Number of Patents Held | Patent | 1749 | 2003 | 2252 |
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.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Concluded Corruption Lawsuits | Case | 2 | 4 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Anti-corruption Training Coverage among Directors and Management | % | 100 | 100 | 100 |
| Number of Directors and Management Attendance for Anti-corruption Training | Person | 7 | 7 | 3721 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | Person | 67893 | 121701 | 63605 |
| Total Hours of Anti-corruption Training | Hour | 32336 | 70703 | 62326 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Participations in Volunteer Activities | Person-time | 7226 | 8921 | 7662 |
| Total Public Welfare Donations | RMB10000 | 11885 | 10590 | 7177 |
| Total Social Investment | RMB10000 | 11979 | 10691 | 7257 |
| Total Volunteer Service Hours | Hour | 1206286 | 35308 | 35671 |