ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Air Emissions NOx | Ton | 243.45 | 247.17 | 39 |
| Air Emissions Particulate matter | Ton | 25.54 | 25.26 | 39 |
| Air Emissions Per ton '000 of FPCM produced | 0.38 | 0.34 | 39 | |
| Air Emissions Per ton '000 of beef cattle weight gained | Ton/ton'000 | 1.99 | 1.64 | 39 |
| Air Emissions Per ton '000 of feed produced | 0.01 | 0.01 | 39 | |
| Air Emissions SOx | Ton | 89.42 | 67.63 | 39 |
| Air Emissions Total | Ton | 358.41 | 340.06 | 39 |
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 | Baseline | Report Pages |
|---|---|---|---|---|---|---|
| GHG Emissions (Scope 1 & 2) per ton of Fat and Protein Corrected Milk (FPCM) Produced | tCO2e/ton FPCM | 0.89 | 0.84 | 0.81 | 4 | |
| GHG Emissions Per ton of FPCM produced | tCO2e/ton | 0.84 | 0.81 | 39 | ||
| GHG Emissions Per ton of beef cattle weight gained | tCO2e/ton | 6.24 | 5.49 | 39 | ||
| GHG Emissions Per ton of feed produced | tCO2e/ton | 0.04 | 0.05 | 39 | ||
| GHG Emissions Scope 1 | tCO2e | 737003.25 | 735655.41 | 38 | ||
| GHG Emissions Scope 1 Ancillary | tCO2e | 1562.76 | 3417.39 | 39 | ||
| GHG Emissions Scope 1 Beef cattle | tCO2e | 105849.71 | 101962.18 | 39 | ||
| GHG Emissions Scope 1 Raw milk | tCO2e | 629590.78 | 630275.84 | 39 | ||
| GHG Emissions Scope 1 Total | tCO2e | 737003.25 | 735655.41 | 39 | ||
| GHG Emissions Scope 2 | tCO2e | 90832.1 | 106834.77 | 38 | ||
| GHG Emissions Scope 2 Ancillary | tCO2e | 1011.95 | 2079.62 | 39 | ||
| GHG Emissions Scope 2 Beef cattle | tCO2e | 3206.24 | 3500.31 | 39 | ||
| GHG Emissions Scope 2 Raw milk | tCO2e | 86613.91 | 101254.84 | 39 | ||
| GHG Emissions Scope 2 Total | tCO2e | 90832.1 | 106834.77 | 39 | ||
| GHG Emissions Scope 3 | tCO2e | 816197.18 | 38 | |||
| GHG Emissions Total (Scope 1, 2, 3) | tCO2e | 827835.35 | 1658687.36 | 38 | ||
| GHG Emissions by category: Downstream transportation and distribution | tCO2e | 36441.74 | 38 | |||
| GHG Emissions by category: Electricity | tCO2e | 90832.1 | 106834.77 | 38 | ||
| GHG Emissions by category: Energy (excluding electricity) | tCO2e | 47795.29 | 47439.33 | 38 | ||
| GHG Emissions by category: Enteric fermentation from cattle | tCO2e | 498376.21 | 506013.03 | 38 | ||
| GHG Emissions by category: Fuel-and energy-related activities | tCO2e | 20733.53 | 38 | |||
| GHG Emissions by category: Manure management | tCO2e | 116177.77 | 174943.18 | 38 | ||
| GHG Emissions by category: Processing of sold products | tCO2e | 227757.46 | 38 | |||
| GHG Emissions by category: Purchased goods and services | tCO2e | 467439.79 | 38 | |||
| GHG Emissions by category: Refrigerants | tCO2e | 4713.98 | 7259.87 | 38 | ||
| GHG Emissions by category: Total | tCO2e | 827835.35 | 1658687.36 | 38 | ||
| GHG Emissions by category: Upstream transportation and distribution | tCO2e | 63824.66 | 38 | |||
| Scope 1 & 2 GHG emissions (CO2e/ton FPCM) | CO2e/ton FPCM | 0.84 | 0.81 | 0.89 | 5 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Feces from cattle (Cattle-related Wastes) | Ton | 1151603 | 1224603 | 41 |
| Hazardous waste per ton '000 of FPCM produced | Ton/ton'000 | 0.11 | 0.1 | 41 |
| Hazardous waste per ton '000 of beef cattle weight gained | Ton/ton'000 | 0.78 | 0.51 | 41 |
| Hazardous waste per ton '000 of feed produced | Ton/ton'000 | 0.02 | 41 | |
| Medical waste (Hazardous Wastes) | Ton | 50.34 | 57.25 | 41 |
| Mineral oil-related waste (Hazardous Wastes) | Ton | 45.69 | 43.46 | 41 |
| Others (Hazardous Wastes) | Ton | 9.81 | 41 | |
| Total hazardous waste | Ton | 105.84 | 100.71 | 41 |
| Urine from cattle (Cattle-related Wastes) | Ton | 674656 | 715080 | 41 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Incinerated and landfilled (Non-hazardous Wastes) | Ton | 564.36 | 804.86 | 41 | |
| Non-hazardous waste per ton '000 of FPCM produced | Ton/ton'000 | 1.31 | 1.31 | 41 | |
| Non-hazardous waste per ton '000 of beef cattle weight gained | Ton/ton'000 | 8.83 | 7.65 | 41 | |
| Non-hazardous waste per ton '000 of feed produced | Ton/ton'000 | 2.2 | 1.9 | 41 | |
| Reclaimed products and their packaging materials | N/A | 55 | |||
| Recycled input materials used | N/A | 55 | |||
| Reused or recycled (Non-hazardous Wastes) | Ton | 852.03 | 751.32 | 41 | |
| Total non-hazardous waste | Ton | 1416.39 | 1556.18 | 41 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2025 | 2030 | 2035 | Report Pages |
|---|---|---|---|---|---|
| GHG Emissions (Scope 1 & 2) per ton of Fat and Protein Corrected Milk (FPCM) Produced, 2025 reduction from 2022 baseline | from 2022 baseline | 10% reduction | 4 | ||
| GHG Emissions (Scope 1 & 2) per ton of Fat and Protein Corrected Milk (FPCM) Produced, 2025 target | tCO2e/ton FPCM | 0.8 | 4 | ||
| GHG Emissions (Scope 1 & 2) per ton of Fat and Protein Corrected Milk (FPCM) Produced, 2030 reduction from 2022 baseline | from 2022 baseline | 28% reduction | 4 | ||
| GHG Emissions (Scope 1 & 2) per ton of Fat and Protein Corrected Milk (FPCM) Produced, 2030 target | tCO2e/ton FPCM | 0.64 | 4 | ||
| GHG Emissions (Scope 1 & 2) per ton of Fat and Protein Corrected Milk (FPCM) Produced, 2035 reduction from 2022 baseline | from 2022 baseline | 40% reduction | 4 | ||
| GHG Emissions (Scope 1 & 2) per ton of Fat and Protein Corrected Milk (FPCM) Produced, 2035 target | tCO2e/ton FPCM | 0.54 | 4 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Harmless treatment of dead cattle (Cattle-related Wastes) | Head | 8028 | 9793 | 41 |
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 | 2016 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Biomass consumption | GJ | 334.94 | 252.71 | 40 | |
| Coal consumption | GJ | 91064.37 | 69239.52 | 40 | |
| Diesel oil consumption | GJ | 272104.16 | 278067.86 | 40 | |
| Electricity consumption | GJ | 573693 | 590203.08 | 40 | |
| Energy intensity (non-renewable energy only) per ton of FPCM produced | GJ/ton | 1.03 | 0.98 | 40 | |
| Energy intensity (non-renewable energy only) per ton of beef cattle weight gained | GJ/ton | 2.98 | 2.63 | 40 | |
| Energy intensity (non-renewable energy only) per ton of feed produced | GJ/ton | 0.49 | 0.57 | 40 | |
| Gasoline consumption | GJ | 3789.93 | 3432.12 | 40 | |
| Green electricity generated from photovoltaic and biogas power generation projects | kWh | 33000000 | 4 | ||
| Natural gas consumption | GJ | 25308.5 | 55596.63 | 40 | |
| Reduction of energy consumption | N/A | 55 | |||
| Self-produced biogas consumption | GJ | 237411.09 | 236393.23 | 40 | |
| Total energy consumption | GJ | 1203706.29 | 1233715.15 | 40 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Ground water withdrawal | m³ | 2651101.43 | 2745742.26 | 40 |
| Municipal water withdrawal | m³ | 1982598.77 | 2834949 | 40 |
| Surface water withdrawal | m³ | 2756066 | 2099827.68 | 40 |
| Total water withdrawal | m³ | 7389766.2 | 7680050.94 | 40 |
| Water withdrawal for ancillary business segment | m³ | 24714 | 45377 | 40 |
| Water withdrawal for beef cattle business segment | m³ | 526483.98 | 522811.26 | 40 |
| Water withdrawal for raw milk business segment | m³ | 6838568.22 | 7111862.68 | 40 |
| Water withdrawal intensity per ton of FPCM produced | m³/ton | 8.02 | 7.9 | 40 |
| Water withdrawal intensity per ton of beef cattle weight gained | m³/ton | 30.15 | 27.2 | 40 |
| Water withdrawal intensity per ton of feed produced | m³/ton | 0.38 | 0.38 | 40 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Reductions in energy requirements of products and services | N/A | 55 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Inner packages for dairy products (Packaging Materials) | Ton | 1074.52 | 1269.56 | 41 |
| Outer packages for dairy products (Packaging Materials) | Ton | 631.35 | 588.59 | 41 |
| Total packaging materials | Ton | 969.58 | 1991.16 | 41 |
| Woven bags for feed products (Packaging Materials) | Ton | 92.65 | 133.01 | 41 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2016 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Habitats protected or restored | N/A | 55 | |||
| Herd Size as at 31 December, Beef cattle | Heads | 38433 | 35707 | 10 | |
| Herd Size as at 31 December, Cows | Heads | 130802 | 122251 | 10 | |
| IUCN Red List species and national conservation list species with habitats in areas affected by operations | N/A | 55 | |||
| Number of attendees - ESG-related | 102 | 48 | |||
| Operational sites owned, leased, managed in, or adjacent to, protected areas and areas of high biodiversity value outside protected areas | N/A | 55 | |||
| Raw Milk Production Volume | Tons | 859600 | 916600 | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Hire rate by age group: 30 to 50 years old | % | 13.91 | 46 | |
| Hire rate by age group: Above 50 years old | % | 1.4 | 46 | |
| Hire rate by age group: Below 30 years old | % | 11.23 | 46 | |
| Hire rate by gender: Female | % | 5.78 | 46 | |
| Hire rate by gender: Male | % | 20.75 | 46 | |
| Hire rate by position: Junior management | % | 0.42 | 46 | |
| Hire rate by position: Middle management | % | 0.26 | 46 | |
| Hire rate by position: Ordinary employees | % | 25.86 | 46 | |
| Hire rate by region: Inner Mongolia, China | % | 8.39 | 46 | |
| Hire rate by region: Others | % | 0.3 | 46 | |
| Hire rate by region: Shandong, China | % | 17.84 | 46 | |
| Local employment rate | % | 83.98 | 45 | |
| New hires by gender: Female | persons | 153 | 46 | |
| New hires by gender: Male | persons | 549 | 46 | |
| New hires by position: Junior management | persons | 11 | 46 | |
| New hires by position: Middle management | persons | 7 | 46 | |
| New hires by position: Ordinary employees | persons | 684 | 46 | |
| New hires by region: Inner Mongolia, China | persons | 222 | 46 | |
| New hires by region: Others | persons | 8 | 46 | |
| New hires by region: Shandong, China | persons | 472 | 46 | |
| Number of dispatched workers from third-party service providers | 126 | 45 | ||
| Number of employees 30 to 50 years old | 1727 | 45 | ||
| Number of employees above 50 years old | 288 | 45 | ||
| Number of employees below 30 years old | 656 | 45 | ||
| Number of employees in Inner Mongolia, China | 730 | 45 | ||
| Number of employees in Shandong, China | 1921 | 45 | ||
| Number of employees in other regions | 20 | 45 | ||
| Number of female employees | 570 | 45 | ||
| Number of handicapped employees | 14 | 45 | ||
| Number of male employees | 2101 | 45 | ||
| Number of minority employees | 422 | 45 | ||
| Percentage of employees 30 to 50 years old | % | 64.66 | 45 | |
| Percentage of employees above 50 years old | % | 10.78 | 45 | |
| Percentage of employees below 30 years old | % | 24.56 | 45 | |
| Percentage of employees in Inner Mongolia, China | % | 27.33 | 45 | |
| Percentage of employees in Shandong, China | % | 71.92 | 45 | |
| Percentage of employees in other regions | % | 0.75 | 45 | |
| Percentage of female employees | % | 21.34 | 45 | |
| Percentage of female senior and middle management | % | 12.78 | 45 | |
| Percentage of male employees | % | 78.66 | 45 | |
| Percentage of senior management from China | % | 60 | 45 | |
| Total new hires | persons | 1402 | 702 | 46 |
| Total number of employees | 2671 | 45 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| New hires by age group: 30 to 50 years old | persons | 368 | 46 | |
| New hires by age group: Above 50 years old | persons | 37 | 46 | |
| New hires by age group: Below 30 years old | persons | 297 | 46 | |
| Total hire rate | % | 55.99 | 26.54 | 46 |
| Total turnover | persons | 573 | 647 | 46 |
| Total turnover rate | % | 22.88 | 24.46 | 46 |
| Turnover by age group: 30 to 50 years old | persons | 344 | 46 | |
| Turnover by age group: Above 50 years old | persons | 47 | 46 | |
| Turnover by age group: Below 30 years old | persons | 256 | 46 | |
| Turnover by gender: Female | persons | 147 | 46 | |
| Turnover by gender: Male | persons | 500 | 46 | |
| Turnover by position: Junior management | persons | 27 | 46 | |
| Turnover by position: Middle management | persons | 2 | 46 | |
| Turnover by position: Ordinary employees | persons | 618 | 46 | |
| Turnover by region: Inner Mongolia, China | persons | 228 | 46 | |
| Turnover by region: Others | persons | 5 | 46 | |
| Turnover by region: Shandong, China | persons | 414 | 46 | |
| Turnover rate by age group: 30 to 50 years old | % | 13 | 46 | |
| Turnover rate by age group: Above 50 years old | % | 1.78 | 46 | |
| Turnover rate by age group: Below 30 years old | % | 9.68 | 46 | |
| Turnover rate by gender: Female | % | 5.66 | 46 | |
| Turnover rate by gender: Male | % | 18.9 | 46 | |
| Turnover rate by position: Junior management | % | 1.02 | 46 | |
| Turnover rate by position: Middle management | % | 0.08 | 46 | |
| Turnover rate by position: Ordinary employees | % | 23.36 | 46 | |
| Turnover rate by region: Inner Mongolia, China | % | 8.62 | 46 | |
| Turnover rate by region: Others | % | 0.19 | 46 | |
| Turnover rate by region: Shandong, China | % | 15.65 | 46 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2023 | 2024 | Baseline | Report Pages |
|---|---|---|---|---|---|
| Work-related fatalities or serious harm injuries | zero | 3 serious injuries | zero | 5 | |
| Work-related injury - Heavy (2024) | Number | 3 | 44 | ||
| Work-related injury - Heavy rate (2024) | per 1000000 working hours | 0.47 | 44 | ||
| Work-related injury - Light (2023) | Number | 46 | 44 | ||
| Work-related injury - Light (2024) | Number | 28 | 44 | ||
| Work-related injury - Light rate (2023) | per 1000000 working hours | 7.32 | 44 | ||
| Work-related injury - Light rate (2024) | per 1000000 working hours | 4.4 | 44 | ||
| Work-related injury - Total (2023) | Number | 46 | 44 | ||
| Work-related injury - Total (2024) | Number | 31 | 44 | ||
| Work-related injury rate | 7.32 | 4.87 | 6.78 | 5 | |
| Work-related injury rate (2023) | per 1000000 working hours | 7.32 | 44 | ||
| Work-related injury rate (2024) | per 1000000 working hours | 4.87 | 44 |
Lost days due to work injury.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Days lost due to work-related injury (2023) | Day | 1787 | 44 | |
| Days lost due to work-related injury (2024) | Day | 1577 | 44 | |
| Days lost due to work-related injury - Heavy (2024) | Day | 371 | 44 | |
| Days lost due to work-related injury - Light (2023) | Day | 1787 | 44 | |
| Days lost due to work-related injury - Light (2024) | Day | 1206 | 44 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of attendees - Health and safety | 112677 | 48 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of attendees - Job skills | 44549 | 48 | ||
| Number of attendees - Management skills | 6677 | 48 | ||
| Number of attendees - Others | 3358 | 48 | ||
| Total number of attendees | 119247 | 168652 | 48 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average training hours per person per year | hours | 60.39 | 61.45 | 48 |
| Average training hours per person per year - 30 to 50 years old | hours | 61.94 | 48 | |
| Average training hours per person per year - Above 50 years old | hours | 59.78 | 48 | |
| Average training hours per person per year - Below 30 years old | hours | 60.96 | 48 | |
| Average training hours per person per year - Female | hours | 54.56 | 48 | |
| Average training hours per person per year - Junior management | hours | 61.65 | 48 | |
| Average training hours per person per year - Male | hours | 63.35 | 48 | |
| Average training hours per person per year - Middle management | hours | 62.65 | 48 | |
| Average training hours per person per year - Ordinary employees | hours | 61.34 | 48 | |
| Average training hours per person per year - Senior management | hours | 79.19 | 48 | |
| Total training hours | hours | 115225 | 162578 | 48 |
| Total work hours (2023) | Hour | 6283108 | 44 | |
| Total work hours (2024) | Hour | 6362886 | 44 | |
| Training hours - ESG-related | hours | 292 | 48 | |
| Training hours - Health and safety | hours | 111556 | 48 | |
| Training hours - Job skills | hours | 41501 | 48 | |
| Training hours - Management skills | hours | 5568 | 48 | |
| Training hours - Others | hours | 2568 | 48 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2015 | 2022 | 2023 | 2024 | Baseline | Report Pages |
|---|---|---|---|---|---|---|---|
| Annualised Average Milk Yield per Milkable Cow | Tons/Head/Year | 11.6 | 13.3 | 13.6 | 14 | 10 | |
| Annualised average milk yield per milking cow (AMY) | tons | 14 | 4 | ||||
| Revenue, Ancillary business, All China | CNY Million | 296.96 | 10 | ||||
| Revenue, Beef cattle business, All China | CNY Million | 220.77 | 497.95 | 10 | |||
| Revenue, Raw milk business, All China | CNY Million | 3411.6 | 3611.99 | 10 | |||
| Somatic Cell Count (Cell/mL) - AustAsia's performance | Cell/mL | 115047 | 108726 | 27 | |||
| Somatic cell count (cell/mL) | cell/mL | 115047 | 108726 | 131331 | 5 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2023 | 2024 | Baseline | Report Pages |
|---|---|---|---|---|---|
| Certification in quality management system for dairy farms and feed mills (except for newly built production unit) | 100% | 100% | 100% | 5 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of attendees - Anti-corruption | 1289 | 48 | |
| Training hours - Anti-corruption | hours | 1093 | 48 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of farms achieving AMY of 14.0 tons | farms | 8 | 10 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Ton | 25.54 | 25.26 |
| NOâ‚“ Emissions | Ton | 243.45 | 247.17 |
| SOâ‚“ Emissions | Ton | 89.42 | 67.63 |
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 | Baseline |
|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 737003.25 | 735655.41 | ||
| Indirect Energy Emissions (Scope 2) | tCO2e | 90832.1 | 106834.77 | ||
| Scope 3 GHG Emissions (Downstream Transportation and Distribution) | tCO2e | 36441.74 | |||
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | tCO2e | 20733.53 | |||
| Scope 3 GHG Emissions (Processing of sold products) | tCO2e | 227757.46 | |||
| Scope 3 GHG Emissions (Purchased Goods/Services) | tCO2e | 467439.79 | |||
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | tCO2e | 63824.66 | |||
| Total GHG Emissions | tCO2e | 827835.35 | 1658687.36 | ||
| Total GHG Emissions Intensity (By Product Weight) | tCO2e/ton FPCM | 0.89 | 0.84 | 0.81 | 0.89 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 816197.18 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Hazardous Waste | Ton | 105.84 | 100.71 |
| Total Hazardous Waste Intensity (By Product Weight) | Ton/ton'000 | 0.78 | 0.51 |
| Total Hazardous Waste Intensity (By Unit Product) | Ton/ton'000 | 0.11 | 0.1 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | Ton | 564.36 | 804.86 |
| Non-Hazardous Waste Recycled | Ton | 852.03 | 751.32 |
| Total Non-Hazardous Waste Intensity (By Batch Product) | Ton/ton'000 | 2.2 | 1.9 |
| Total Non-Hazardous Waste Intensity (By Product Weight) | Ton/ton'000 | 8.83 | 7.65 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | Ton/ton'000 | 1.31 | 1.31 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2025 | 2030 | 2035 |
|---|---|---|---|---|
| Reduction in GHG Intensity Compared to Last Year (By Unit Product) | % | 10 | 28 | 40 |
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 | 2024 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 22 |
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 | 2023 | 2024 |
|---|---|---|---|
| Biomass Energy | GJ | 334.94 | 252.71 |
| Diesel Fuel Consumption | GJ | 272104.16 | 278067.86 |
| Fossil Fuel Consumption | GJ | 91064.37 | 69239.52 |
| Gasoline Consumption | GJ | 3789.93 | 3432.12 |
| Natural Gas Consumption | GJ | 25308.5 | 55596.63 |
| Purchased Electricity | GJ | 573693 | 590203.08 |
| Total Energy Consumption | GJ | 1203706.29 | 1233715.15 |
| Total Indirect Energy Consumption | GJ | 573693 | 590203.08 |
| Total Non-Renewable Fuel Consumption | GJ | 91064.37 | 69239.52 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Groundwater Withdrawal | m³ | 2651101.43 | 2745742.26 |
| Surface Water Withdrawal | m³ | 2756066 | 2099827.68 |
| Total Water Withdrawal | m³ | 7389766.2 | 7680050.94 |
| Water Withdrawal Intensity | m³/ton | 30.15 | 27.2 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Packaging Materials Consumed | Ton | 969.58 | 1991.16 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Bachelor's Degree Employees | persons | 850 |
| Number of Below Junior College Employees | persons | 1306 |
| Number of Employees Aged 30-50 | persons | 1727 |
| Number of Employees Aged Above 50 | persons | 288 |
| Number of Employees Aged Below 30 | persons | 656 |
| Number of Employees in Mainland China | persons | 2651 |
| Number of Employees in Other Regions | persons | 20 |
| Number of Female Employees | persons | 570 |
| Number of General Employees | persons | 2223 |
| Number of Junior Management Employees | persons | 315 |
| Number of Male Employees | persons | 2101 |
| Number of Master's Degree Employees | persons | 40 |
| Number of Middle Management Employees | persons | 123 |
| Number of New Employees | persons | 702 |
| Number of New Employees (Female) | persons | 153 |
| Number of New Employees (General Employees) | persons | 684 |
| Number of New Employees (Junior Management) | persons | 11 |
| Number of New Employees (Male) | persons | 549 |
| Number of New Employees (Middle Management) | persons | 7 |
| Number of Senior Management Employees | persons | 10 |
| Number of Total Employees | persons | 2671 |
| Percentage of Bachelor's Degree Employees | % | 31.82 |
| Percentage of Below Junior College Employees | % | 48.9 |
| Percentage of Employees Aged 30-50 | % | 64.66 |
| Percentage of Employees Aged Above 50 | % | 10.78 |
| Percentage of Employees Aged Below 30 | % | 24.56 |
| Percentage of Female Employees | % | 21.34 |
| Percentage of General Employees | % | 83.23 |
| Percentage of Junior Management Employees | % | 11.79 |
| Percentage of Male Employees | % | 78.66 |
| Percentage of Master's Degree Employees | % | 1.5 |
| Percentage of Middle Management Employees | % | 4.61 |
| Percentage of Senior Management Employees | % | 0.37 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 13 | |
| Turnover Rate of Employees Aged Above 50 | % | 1.78 | |
| Turnover Rate of Employees Aged Below 30 | % | 9.68 | |
| Turnover Rate of Female Employees | % | 5.66 | |
| Turnover Rate of General Employees | % | 23.36 | |
| Turnover Rate of Junior Management Employees | % | 1.02 | |
| Turnover Rate of Male Employees | % | 18.9 | |
| Turnover Rate of Middle Management Employees | % | 0.08 | |
| Turnover Rate of Total Employees | % | 22.88 | 24.46 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | Day | 1787 | 1577 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of People Receiving Training on Work Safety | 112677 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Percentage of Employees Trained | % | 93 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Employees Aged 30-50) | hours | 61.94 | |
| Average Training Hours (Employees Over 50) | hours | 59.78 | |
| Average Training Hours (Employees Under 30) | hours | 60.96 | |
| Average Training Hours (Female) | hours | 54.56 | |
| Average Training Hours (General Staff) | hours | 61.34 | |
| Average Training Hours (Male) | hours | 63.35 | |
| Average Training Hours (Middle Management) | hours | 62.65 | |
| Average Training Hours (Senior Management) | hours | 79.19 | |
| Average Training Hours per Employee | hours | 60.39 | 61.45 |
| Total Training Hours | hours | 115225 | 162578 |
| Training Hours of ESG | hours | 292 | |
| Training Hours of Professional Skills Development | hours | 41501 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers | |
| Proportion of Spending on Local Suppliers |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit |
|---|---|
| Number of Recalled Products for Safety and Health Reasons | count |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit |
|---|---|
| Number of Products and Service Related Complaints |
Description of quality assurance process and recall procedures.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Passing Rate of Third-party Accreditation Performed under the Quality Management System | % | 100 | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Attendance for Anti-corruption Training | 1289 | |
| Number of People Participated in Ethical Standards and Anti-corruption Training | 1289 | |
| Total Hours of Anti-corruption Training | hours | 1093 |