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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| NOx emissions in exhaust gas | Tonne | 114.28 | 34.59 | 42.81 | 44 |
| SOx emissions in exhaust gas | Tonne | 26.66 | 12.39 | 17.38 | 44 |
| Soot emissions in exhaust gas | Tonne | 0.02 | 1.36 | 12.31 | 44 |
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 | 2021 | 2022 | 2023 | 2024 | 2025 | 2030 | 2035 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Business travel | tCO2e | 1299.57 | 1320 | 36 | |||||
| Carbon emission intensity per kilogram of FPCM (including scope 1 and scope 2) | CO2e/FPCM | 0.9 | 0.89 | 0.87 | 36 | ||||
| Carbon emission per kilogram of FPCM in 2021 (base year) | kg CO2e/kg FPCM | 0.91 | 37 | ||||||
| Emissions of greenhouse gas (scope 1) | tCO2e | 1654588.91 | 1946733.2 | 2227502.95 | 36 | ||||
| Emissions of greenhouse gas (scope 2) | tCO2e | 410249.01 | 362578.42 | 374468.67 | 36 | ||||
| Emissions of greenhouse gas (scope 3) | tCO2e | 261287 | 288995 | 36 | |||||
| Emissions of greenhouse gas per RMB million revenue | tCO2e/RMB million | 167.94 | 171.59 | 196.31 | 36 | ||||
| Methane emission per kilogram of FPCM in 2021 (base year) | kg CO2e/kg FPCM | 0.67 | 37 | ||||||
| Modern Dairy's greenhouse gas emissions per kilogram of FPCM in 2024 | kg CO2e/kg FPCM | 0.87 | 37 | ||||||
| Modern Dairy's methane emission per kilogram of FPCM in 2024 | kg CO2e/kg FPCM | 0.64 | 37 | ||||||
| Reduction in carbon emission per kilogram of FPCM by optimizing digestibility to intestinal fermentation and manure management (target by end of 2025) | reduction | 3% | 37 | ||||||
| Reduction in carbon emission per kilogram of FPCM by optimizing manure management practices (target by end of 2025) | reduction | 1.5% | 37 | ||||||
| Reduction in carbon emission per kilogram of FPCM by optimizing the cattle herd structure, reducing calving intervals, and increasing the proportion of milkable cows (target by end of 2025) | reduction | 1% | 37 | ||||||
| Reduction in carbon emission per kilogram of FPCM by upgrading energy facilities, implementing energy-saving measures, enhancing energy utilization efficiency, optimizing energy structure, and increasing the proportion of green energy sources (target by end of 2025) | reduction | 1.5% | 37 | ||||||
| Reduction in greenhouse gas emissions per kilogram of FPCM in 2024 compared to 2021 | reduction | 4.8% | 37 | ||||||
| Reduction in methane emission intensity per kilogram of FPCM by improving digestibility to reduce methane emissions from intestinal fermentation and from manure management (target by end of 2025) | reduction | 3% | 37 | ||||||
| Reduction in methane emission intensity per kilogram of FPCM by optimizing manure management practices to reduce methane emissions (target by end of 2025) | reduction | 1.8% | 37 | ||||||
| Reduction in methane emission intensity per kilogram of FPCM by optimizing the cattle herd structure, reducing calving intervals, and increasing the proportion of milkable cows (target by end of 2025) | reduction | 1% | 37 | ||||||
| Reduction in methane emission per kilogram of FPCM in 2024 compared to 2021 | reduction | 4.8% | 37 | ||||||
| Targeted carbon emission per kilogram of FPCM by end of 2022 | kg CO2e/kg FPCM | 0.85 | 37 | ||||||
| Targeted carbon emission per kilogram of FPCM by end of 2030 | kg CO2e/kg FPCM | 0.77 | 37 | ||||||
| Targeted carbon emission per kilogram of FPCM by end of 2035 | kg CO2e/kg FPCM | 0.73 | 37 | ||||||
| Targeted reduction in methane emission intensity per unit of FPCM by end of 2025 | reduction | 5.8% | 37 | ||||||
| Total GHG emissions | tCO2e | 2064837.92 | 2309311.62 | 2601971.62 | 36 |
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 |
|---|---|---|---|---|---|
| Disposal of major hazardous wastes | Tonne | 267.24 | 427.68 | 368.499 | 44 |
| Disposal of major hazardous wastes per RMB million revenue | kg/RMB million | 21.74 | 31.78 | 27.8 | 44 |
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 | 2025 | Report Pages |
|---|---|---|---|---|---|---|
| Production of non-hazardous wastes | Tonne | 462.15 | 576.42 | 517.05 | 44 | |
| Production of non-hazardous wastes per RMB million revenue | kg/RMB million | 37.59 | 42.83 | 39.01 | 44 | |
| Waste from operations | tCO2e | 68449.7 | 58134 | 36 | ||
| total amount of waste generated by quality control and testing of raw materials and raw milk reduction target | % | 10 | 38 |
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 | 2030 | Report Pages |
|---|---|---|---|
| amount of waste generated by quality control and testing of raw materials and raw milk reduction target | % | 20 | 38 |
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 |
|---|---|---|---|---|---|
| Amount of biogas produced as of 31 December 2024 | million cubic meters | 193.79 | 37 | ||
| Biogas consumption | Ten thousand m³ | 12035.26 | 17521.45 | 18071.11 | 40 |
| Biogas generation from manure treatment system | Ten thousand cubic meters | 16.8 | 18.9 | 19.379 | 44 |
| Biogas power generation | MWh, million kWh | 107 | 9, 40 | ||
| Biogas power generation as of 31 December 2024 | MWh | 107082 | 37 | ||
| Biogas steam from manure treatment systems | Ten thousand Tonnes | 46 | 49 | 44 | 44 |
| Cumulative grid-connected capacity of photovoltaic projects | MW | 18.5 | 9, 40 | ||
| Cumulative grid-connected capacity of photovoltaic projects as of 31 December 2024 | MW | 18.5 | 37 | ||
| Diesel consumption | Thousand liters | 1089.14 | 1224.71 | 1413.22 | 40 |
| Electricity generation from Biogas generated from manure treatment system | MWh | 107550 | 115130 | 107062 | 44 |
| Employee commuting | tCO2e | 9024.34 | 5969 | 36 | |
| Fuel coal consumption | Tonne | 141 | 40 | ||
| Gasoline consumption | Liter | 14574.9 | 16459.21 | 18123.75 | 40 |
| Natural gas consumption | Ten thousand m³ | 68.08 | 64.48 | 1.77 | 40 |
| Number of electric milk tankers in operation as of 31 December 2024 | electric milk tankers | 4 | 37 | ||
| Total amount of purchased electricity consumption | Ten thousand kWh | 40313.47 | 44738.69 | 57896.49 | 40 |
| Total amount of purchased steam consumption | Tonne | / | 21440.43 | 9708 | 40 |
| Total energy consumption | Tonne of standard coal | 159645.2 | 198388.92 | 218659.66 | 40 |
| Total energy consumption per RMB million revenue | Tonne of standard coal/ RMB million | 12.98 | 14.74 | 16.5 | 40 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| standard of daily water consumption per ton of raw milk | kg | 110 | 38 |
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.
| Indicator | Unit | 2030 | Report Pages |
|---|---|---|---|
| water intensity per unit of raw milk production reduction target | % | 10 | 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 |
|---|---|---|---|---|---|
| Packaging material use | Tonne | 719.04 | 988.15 | 735.74 | 44 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of Brazilian soybeans free of deforestation and vegetation destruction issues delivered | tons | 50000 | 10 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2025 | 2030 | 2050 | Report Pages |
|---|---|---|---|---|---|
| Potential risk level of increased frequency of extreme weather events (e.g. heavy rain, typhoons, extreme heat and cold) under IPCC SSP1-2.6 scenario | Low | Low | Low | 35 | |
| Potential risk level of increased frequency of extreme weather events (e.g. heavy rain, typhoons, extreme heat and cold) under IPCC SSP5-8.5 scenario | Low | Low | Relatively low | 35 | |
| Potential risk level of rising mean temperatures under IPCC SSP1-2.6 scenario | Low | Low | Low | 35 | |
| Potential risk level of rising mean temperatures under IPCC SSP5-8.5 scenario | Low | Low | Relatively low | 35 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Proportion of vacancies filled with internal candidates | % | 80 | 10 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2024 | 2025 | Report Pages |
|---|---|---|---|---|
| All farms passed ISO 45001 certification for occupational health and safety management systems | 100% | 10 | ||
| Average health and safety training hours per employee and contractor every year (2024 progress) | hours | 16 | 57 | |
| Average health and safety training hours per employee and contractor every year (2024 target) | hours | 16 | 57 | |
| Average health and safety training hours per employee and contractor every year (2025 target) | hours | 16 | 57 | |
| Lost Time Injury Frequency Rate (LTIFR) for employees and contractors (2024 progress) | per million working hours | 0.42 | 57 | |
| Lost Time Injury Frequency Rate (LTIFR) for employees and contractors (2024 target) | per million working hours | 0.45 | 57 | |
| Lost Time Injury Frequency Rate (LTIFR) for employees and contractors (2025 target) | per million working hours | 0.42 | 57 | |
| Number of safety drills carried out | 24 | 57 | ||
| Number of safety trainings carried out | 24 | 57 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of employees trained in production safety | 7156 | 57 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2024 | 2025 | Report Pages |
|---|---|---|---|---|
| 100% of employees and contractors receive health and safety training (2024 progress) | 100% | 57 | ||
| 100% of employees and contractors receive health and safety training (2024 target) | 100% | 57 | ||
| 100% of employees and contractors receive health and safety training (2025 target) | 100% | 57 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Upstream transport and distribution | tCO2e | 182513.13 | 223572 | 36 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of village-enterprise cooperation projects | 254 | 10 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of employee events organized | 1500 | 10 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tonne | 0.02 | 1.36 | 12.31 |
| NOâ‚“ Emissions | Tonne | 114.28 | 34.59 | 42.81 |
| SOâ‚“ Emissions | Tonne | 26.66 | 12.39 | 17.38 |
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 | 2021 | 2022 | 2023 | 2024 | 2030 | 2035 |
|---|---|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 1654588.91 | 1946733.2 | 2227502.95 | |||
| Indirect Energy Emissions (Scope 2) | tCO2e | 410249.01 | 362578.42 | 374468.67 | |||
| Scope 3 GHG Emissions (Business Travel) | tCO2e | 1299.57 | 1320 | ||||
| Total GHG Emissions | tCO2e | 2064837.92 | 2309311.62 | 2601971.62 | |||
| Total GHG Emissions Intensity (By Product Weight) | CO2e/FPCM | 0.91 | 0.9 | 0.89 | 0.87 | 0.77 | 0.73 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB million | 167.94 | 171.59 | 196.31 | |||
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 261287 | 288995 |
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 Disposed | Tonne | 267.24 | 427.68 | 368.499 |
| Total Hazardous Waste Intensity (By Revenue) | kg/RMB million | 21.74 | 31.78 | 27.8 |
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 Disposed | Tonne | 462.15 | 576.42 | 517.05 |
| Total Non-Hazardous Waste Intensity (By Revenue) | kg/RMB million | 37.59 | 42.83 | 39.01 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tonnes | 24000 |
| GHG Emissions Reduction Percentage Compared to Last Year | % | 2.7 |
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 | 2030 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 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).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Diesel Fuel Consumption | Thousand liters | 1089.14 | 1224.71 | 1413.22 |
| Energy Consumption Intensity (By Revenue) | Tonne of standard coal/ RMB million | 12.98 | 14.74 | 16.5 |
| Fossil Fuel Consumption | Tonne | 141 | ||
| Gasoline Consumption | Liter | 14574.9 | 16459.21 | 18123.75 |
| Natural Gas Consumption | Ten thousand m³ | 68.08 | 64.48 | 1.77 |
| Purchased Electricity | Ten thousand kWh | 40313.47 | 44738.69 | 57896.49 |
| Purchased Steam | Tonne | None | 21440.43 | 9708 |
| Total Energy Consumption | Tonne of standard coal | 159645.2 | 198388.92 | 218659.66 |
| Total Indirect Energy Consumption | Ten thousand kWh | 40313.47 | 44738.69 | 57896.49 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2025 |
|---|---|---|
| Water Withdrawal Intensity | kg/ton raw milk | 110 |
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 | 2030 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 10 |
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 Materials Consumed | tonne | 719.04 | 988.15 | 735.74 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Employees Aged 30-50 | 5750 | |
| Number of Employees Aged Above 50 | 1600 | |
| Number of Employees Aged Below 30 | 1657 | |
| Number of Employees in Central China | 834 | |
| Number of Employees in East China | 989 | |
| Number of Employees in Hong Kong | 3 | |
| Number of Employees in Hong Kong and Mainland China | 9005 | |
| Number of Employees in Mainland China | 9002 | |
| Number of Employees in Northeast China | 1105 | |
| Number of Employees in Overseas | 2 | |
| Number of Employees in West China | 999 | |
| Number of Female Employees | 2917 | |
| Number of Full-time Employees | 9007 | |
| Number of Junior Management Employees | 8848 | |
| Number of Male Employees | 6090 | |
| Number of Middle Management Employees | 150 | |
| Number of New Employees | 1609 | |
| Number of Senior Management Employees | 9 | |
| Number of Total Employees | 9007 | |
| Percentage of Employees Aged 30-50 | % | 63.84 |
| Percentage of Employees Aged Above 50 | % | 17.76 |
| Percentage of Employees Aged Below 30 | % | 18.4 |
| Percentage of Female Employees | % | 32.39 |
| Percentage of Male Employees | % | 67.61 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Employees Aged 30-50 | % |
| Turnover Rate of Employees Aged Above 50 | % |
| Turnover Rate of Employees Aged Below 30 | % |
| Turnover Rate of Employees in Central China | % |
| Turnover Rate of Employees in East China | % |
| Turnover Rate of Employees in Mainland China | % |
| Turnover Rate of Employees in North China | % |
| Turnover Rate of Employees in Northeast China | % |
| Turnover Rate of Employees in West China | % |
| Turnover Rate of Female Employees | % |
| Turnover Rate of Male Employees | % |
| Turnover Rate of Total Employees | % |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | days |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | per million working hours |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Production Safety Emergency Drills | 24 | |
| Number of Safety knowledge lectures | 24 | |
| Participation Rate of Safety Training | % | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Percentage of Trained Female Employees | % | 32.4 |
| Percentage of Trained General Employees | % | 98.2 |
| Percentage of Trained Male Employees | % | 67.6 |
| Percentage of Trained Middle Management | % | 1.7 |
| Percentage of Trained Senior Management | % | 0.1 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Average Training Hours (Employees Aged 30-50) | hours | 25.98 |
| Average Training Hours (Employees Over 50) | hours | 26.82 |
| Average Training Hours (Employees Under 30) | hours | 29.84 |
| Average Training Hours (Female) | hours | 26.76 |
| Average Training Hours (General Staff) | hours | 26.56 |
| Average Training Hours (Male) | hours | 26.88 |
| Average Training Hours (Middle Management) | hours | 42.32 |
| Average Training Hours (Senior Management) | hours | 44.31 |
| Average Training Hours per Employee | hours | 26.84 |
| Total Training Hours | hours | 241800 |
| Training Hours of Professional Skills Development | hours | 132037 |
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 |
|---|---|
| Number of Suppliers Signing Social Responsibility Code | % |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Anti-corruption Policies have been Communicated to | % |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit |
|---|---|
| Total Hours of Anti-corruption Training | hours |
| Total Hours of Anti-corruption Training for Employees | hours |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Social Investment | million RMB | 7.3 |