Environmental, Social and Governance Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|
| Ammonia nitrogen discharge actual | tons/RMB100 million | 0.1109 | 40 | |||
| Ammonia nitrogen discharge standard | tons/RMB100 million | 0.1558 | 40 | |||
| COD discharge actual | tons/RMB100 million | 1.1934 | 40 | |||
| COD discharge standard | tons/RMB100 million | 1.3736 | 40 | |||
| Dust emissions | ton | 10 | 20 | 30 | 30 | 44 |
| Main Wastewater Discharge - Ammonia nitrogen | tons | 2 | 4 | 3 | 2 | 40 |
| Main Wastewater Discharge - COD | tons | 18 | 28 | 22 | 15 | 40 |
| Main Wastewater Discharge - Total phosphorus | tons | 1 | 2 | 2 | 1 | 40 |
| Nitrogen oxides emissions | ton | 60 | 80 | 100 | 110 | 44 |
| Treated waste gas | million cubic meters | 420 | 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 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|
| Fugitive emission of biogas from comprehensive biogas utilization | million m³ | 9.13 | 38 | |||
| Greenhouse gas emission intensity | tons/revenue of RMB10000 | 0.19 | 0.25 | 0.22 | 0.22 | 44 |
| Scope 1 greenhouse gas emissions | tons | 108500 | 44 | |||
| Scope 2 greenhouse gas emissions | tons | 167000 | 44 | |||
| Sulfur dioxide emissions | ton | 20 | 30 | 40 | 40 | 44 |
| Total greenhouse gas emissions | tons | 275500 | 44 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|
| Emission density of hazardous waste | tons/revenue of RMB10 thousand | 0.075 | 41 | |||
| Hazardous waste produced | tons | 92.67 | 41 | |||
| Main hazardous waste emission | tons | 80 | 60 | 100 | 90 | 42 |
| Main solid waste emissions | 10000 tons | 1 | 2 | 5 | 4 | 42 |
| Number of pigs slaughtered | pigs | 4103000 | 5200000 | 45 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Domestic wastes generated in the whole year | tons | 740 | 42 |
| Emission density of non-hazardous waste | tons/revenue of RMB10 thousand | 0.014 | 41 |
| Feed dust removal dust and waste packaging materials produced and disposed (breeding process) | tons | 610 | 41 |
| Non-hazardous waste produced | tons | 16900 | 41 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| COD emission reduction by reclaimed water recycling (Huanggang and Dongtai factories, Fresh Products Department) | tons | 0.81 | 41 |
| Carbon emissions reduced by Changling Farm’s Fresh Products Department energy optimization | tons | 128.73 | 48 |
| Carbon emissions reduced by photovoltaic projects | tons | 1000 | 8 |
| Methane gas mitigated from biogas recovery | million cubic meters | 9.13 | 8 |
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 | 2020 | 2023 | Report Pages |
|---|---|---|---|---|
| Hazardous waste handed over to third parties for treatment and disposal (breeding process) | tons | 61 | 41 | |
| Total phosphorus discharge reduction after denitrification upgrade (Dongtai factory, Fresh Products Department) | 80% | 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 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Biogas recovered and utilized | cubic meters | 18000000 | 8 | |
| Biogas recycled for power generation, energy supply of livestock slaughter process and heating of harmless treatment factories | million m³ | 18 | 38 | |
| Electricity generated by five grassroots subsidiaries | million kWh | 2.84 | 8 | |
| Energy consumption density | tons of standard coal per RMB10000 revenue | 0.07 | 8 | |
| Estimated standard coal saved from biogas recovery | tons | 20000 | 8 | |
| Installed capacity of rooftop distributed photovoltaic power generation | MW | 2.06 | 8 | |
| Standard coal consumed in production | tons | 83900 | 87200 | 45 |
| Standard coal consumed in production phase | tons | 87200 | 8 | |
| Villages served with biogas slurry for irrigation | 70 | 41 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Condensed water reuse of packaging machines in Heshan factory | tons | 7203 | 48 |
| Group water consumption | million cubic meters | 10.907 | 8 |
| Total water consumption | million m³ | 10.907 | 41 |
| Wastewater discharge intensity | tons/RMB10000 revenue | 0.48 | 40 |
| Water consumption intensity | m³/RMB10000 revenue | 8.8 | 41 |
| Water usage density | cubic meters per RMB10000 revenue | 8.8 | 8 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Annual energy savings from energy conservation measures | tons of standard coal | 30000 | 6 |
| Electricity charges saved by Changling Farm’s Fresh Products Department energy optimization | RMB | 149000 | 48 |
| Electricity saved by Changling Farm’s Fresh Products Department energy optimization | kWh | 211000 | 48 |
| Fertilizer fees saved by biogas slurry irrigation | million RMB | 11 | 41 |
| Investment in energy-saving technological upgrades | million RMB | 87 | 6 |
| Number of high energy-consuming equipment replaced in 2023 | units | 40 | 48 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Fresh water saved annually by reclaimed water recycling (Huanggang and Dongtai factories, Fresh Products Department) | tons | 50000 | 41 |
| Water bill and discharge fees saved by reclaimed water recycling (Huanggang and Dongtai factories, Fresh Products Department) | RMB | 354000 | 41 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Area under alfalfa cultivation in sandy soils | hectares | 1067 | 8 |
| Group marketed hogs | million hogs | 5.2 | 8 |
| Integrated farming and vegetable cultivation bases established by Joycome | 26 | 8 | |
| Investment in environmental protection | million RMB | 120 | 6 |
| Land irrigated with biogas slurry | hectares | 13333 | 41 |
| Produce from integrated farming and vegetable cultivation bases | kilograms | 15500 | 8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Combined installed capacity of five grassroots subsidiaries | MW | 4.82 | 8 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2021 | Report Pages |
|---|---|---|---|
| Number of death at work | 1 | 53 | |
| Ratio of death at work | % | 0.11 | 53 |
Lost days due to work injury.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Work-related injury days lost | working days | 601 | 53 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Distribution of training participants by gender - female | 26.57% | 57 | |
| Distribution of training participants by gender - male | 73.43% | 57 | |
| Distribution of training participants by level - general staff | 98.47% | 57 | |
| Distribution of training participants by level - middle management | 1.47% | 57 | |
| Distribution of training participants by level - senior management | 0.06% | 57 | |
| Number of lean management training camps launched | 2 | 56 | |
| Number of trainees in lean management training camps | 95 | 56 | |
| Number of weeks for improving business departments and breeding farms | 6 | 56 | |
| Training participants | participants | 378300 | 57 |
| Training sessions | sessions | 15200 | 57 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Accumulated training hours | hours | 199100 | 57 |
| Per capita training duration | hours | 19.2 | 57 |
| Training hours of female employees | hours | 18.42 | 57 |
| Training hours of general staff | hours | 19.2 | 57 |
| Training hours of male employees | hours | 21.29 | 57 |
| Training hours of middle management | hours | 14.52 | 57 |
| Training hours of senior management | hours | 40.05 | 57 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Market analysis meetings for bulk raw material | meetings | 162 | 68 |
| Number of industry standards participated in formulation | 1 | 6 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of legal training sessions held | 4 | 56 | |
| Total number of participants in legal literacy training (online and offline) | nearly one thousand | 56 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of social organization standards participated in formulation | 2 | 6 | |
| Soybean meal market analysis meetings held | meetings | 50 | 68 |
| Tariff discounts secured | RMB | 730000 | 8 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Cumulative social donations for urban and rural construction projects | RMB | 11706400 | 6 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | ton | 10 | 20 | 30 | 30 |
| NOₓ Emissions | ton | 60 | 80 | 100 | 110 |
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 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 108500 | |||
| Indirect Energy Emissions (Scope 2) | tons | 167000 | |||
| Total GHG Emissions | tons | 275500 | |||
| Total GHG Emissions Intensity (By Revenue) | tons/revenue of RMB10000 | 0.19 | 0.25 | 0.22 | 0.22 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| Total Hazardous Waste | tons | 80 | 60 | 100 | 92.67 |
| Total Hazardous Waste Intensity (By Revenue) | tons/revenue of RMB10 thousand | 0.075 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | tons | 740 |
| Total Non-Hazardous Waste Intensity (By Revenue) | tons/revenue of RMB10 thousand | 0.014 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons | 1128.73 |
| GHG Emissions Reduction Compared to Last Year | tons | 1128.73 |
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 | 2020 | 2023 |
|---|---|---|---|
| COD Reduction Percentage Compared to Last Year | % | 80 | |
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | None |
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 |
|---|---|---|
| Biomass Energy | cubic meters | 18000000 |
| Energy Consumption Intensity (By Revenue) | tons of standard coal per RMB10000 revenue | 0.07 |
| Solar Energy | MW | 2.06 |
| Total Energy Consumption | tons of standard coal | 87200 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Recycled Water Usage | tons | 7203 |
| Total Water Consumption | cubic meters | 10907000 |
| Total Water Withdrawal | cubic meters | 10907000 |
| Wastewater Discharge Intensity | tons per RMB10000 revenue | 0.48 |
| Water Consumption Intensity (By Revenue) | cubic meters per RMB10000 revenue | 8.8 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Energy Consumption Reduction Compared to Last Year | tons of standard coal | 30000 |
| Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | 87 |
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 | 2023 |
|---|---|---|
| Water Consumption Reduction Compared to Last Year | tons | 50000 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Investment in Ecological Restoration | million RMB | 120 |
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 | 2667 | |
| Number of Employees Aged Above 50 | 1402 | |
| Number of Employees Aged Below 30 | 5638 | |
| Number of Female Employees | 3009 | |
| Number of Male Employees | 6698 | |
| Number of Total Employees | 9707 | |
| Percentage of Employees Aged 30-50 | % | 27.48 |
| Percentage of Employees Aged Above 50 | % | 14.44 |
| Percentage of Employees Aged Below 30 | % | 58.08 |
| Percentage of Female Employees | % | 31 |
| Percentage of Male Employees | % | 69 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | % | 0.11 | ||
| Fatalities Rate of the Last 3 Years | % | 0.11 | 0.055 | 0.03666666666666667 |
| Number of Fatalities as a Result of Work-related Injuries | 1 | |||
| Number of Fatalities of the Last 3 Years | 1 | 1 | 1 | |
| Number of Work-related Fatalities | 1 | |||
| Work-related Fatalities Rate | % | 0.11 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Lost Days Due to Work-related Injuries | working days | 601 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Trained Female Employees | % | 26.57 |
| Percentage of Trained General Employees | % | 98.47 |
| Percentage of Trained Male Employees | % | 73.43 |
| Percentage of Trained Middle Management | % | 1.47 |
| Percentage of Trained Senior Management | % | 0.06 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Average Training Hours (Female) | hours | 18.42 |
| Average Training Hours (General Staff) | hours | 19.2 |
| Average Training Hours (Male) | hours | 21.29 |
| Average Training Hours (Middle Management) | hours | 14.52 |
| Average Training Hours (Senior Management) | hours | 40.05 |
| Average Training Hours per Employee | hours | 19.2 |
| Total Training Hours | hours | 199100 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers in Mainland China | number |
| Number of Total Suppliers | number |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Anti-corruption Training Session | 4 | |
| Number of Attendance for Anti-corruption Training | 1000 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Public Welfare Donations | RMB | 11706400 |
| Total Social Investment | RMB | 11706400 |