2024 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Ammonia nitrogen emissions | tonnes | 4.46 | 3.5 | 56 |
COD emissions | tonnes | 35.36 | 58.15 | 56 |
Nitrogen oxide emissions | kg | 3006.91 | 54 | |
SO₂ emissions | kg | 47.73 | 54 | |
Smoke and dust emissions | kg | 381.83 | 54 | |
Total air emissions | kg | 3436.47 | 54 |
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 | 2024 | Report Pages |
---|---|---|---|
Greenhouse gas emissions (Scope 1) | tonnes of CO2 equivalent | 15353 | 59 |
Greenhouse gas emissions (Scope 2) | tonnes of CO2 equivalent | 142606 | 59 |
Intensive farming — greenhouse gas emission intensity | tonnes of CO2 equivalent/RMB million | 61.8 | 59 |
Intensive farming — total greenhouse gas emissions | tonnes of CO2 equivalent | 157959 | 59 |
Total air emissions intensity | kg/RMB million | 1.34 | 54 |
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 |
---|---|---|---|---|
Hazardous waste emission intensity | 0.056 | 54 | ||
Livestock and poultry manure | tonnes | 134662 | 176780 | 54 |
Medical waste | tonnes | 143 | 54 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Domestic waste | tonnes | 1079 | 1147 | 54 |
Non-hazardous waste emission intensity | tonnes/RMB million | 69.6 | 54 |
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 | 2024 | Report Pages |
---|---|---|---|
Innocuous treatment rate | % | 100 | 17 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Coal fuel usage (intensive farming) | tonnes | 655.07 | 53 |
Diesel usage (intensive farming) | tonnes | 887.1 | 53 |
Electricity consumption (intensive farming) | MWh | 265759.12 | 53 |
Energy consumption density of intensive farming | MWh/RMB million | 130.65 | 53 |
Gasoline usage (intensive farming) | tonnes | 23.08 | 53 |
Liquefied petroleum gas usage (intensive farming) | tonnes | 28 | 53 |
Natural gas usage (intensive farming) | ten thousand cubic metres | 477.29 | 53 |
Total energy consumption of intensive farming | MWh | 333924.67 | 53 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Waste water discharge volume | m³ | 400115 | 588536 | 56 |
Water consumption density in intensive farming | m³/RMB million | 4972.69 | 55 | |
Water consumption in intensive farming | m³ | 12709708 | 55 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 to 2025 | Report Pages |
---|---|---|---|
Planned decrease in energy consumption intensity (energy consumption per unit of products produced) | % | -2.8 | 51 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2022–2024 | Report Pages |
---|---|---|---|
Number of national, provincial, ministerial and municipal scientific pig breeding research projects participated | 9 | 47 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Number of female employees | Persons | 3050 | 66 |
Number of male employees | Persons | 7425 | 66 |
Number of new employees during the reporting period | Persons | 4694 | 66 |
Per capita disposable income of rural residents in China | RMB | 23119 | 5 |
Proportion of employees aged 18–29 | % | 42 | 66 |
Proportion of employees aged 30–50 | % | 50 | 66 |
Proportion of employees aged 51 and above | % | 8 | 66 |
Proportion of employees in Sichuan and Chongqing | % | 51 | 66 |
Proportion of employees in other regions | % | 49 | 66 |
Proportion of employees with associate degree | % | 33.3 | 66 |
Proportion of employees with bachelor's degree | % | 19.1 | 66 |
Proportion of employees with master's degree | % | 2.4 | 66 |
Total number of contract employees | Persons | 10475 | 66 |
Total number of other employees | Persons | 368 | 66 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Turnover rate of employees aged 18–29 | % | 24.6 | 66 |
Turnover rate of employees aged 30–50 | % | 17.03 | 66 |
Turnover rate of employees aged 51 and above | % | 8.86 | 66 |
Turnover rate of employees in Sichuan and Chongqing | % | 18.97 | 66 |
Turnover rate of employees in other regions | % | 20.73 | 66 |
Turnover rate of female employees | % | 20.72 | 66 |
Turnover rate of male employees | % | 19.48 | 66 |
Turnover rate of mid-level management | % | 4.64 | 66 |
Turnover rate of other employees | % | 20.38 | 66 |
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 |
---|---|---|---|---|---|
Injury rate of million working hours | 1.47 | 1.07 | 74 | ||
Number of work-related fatalities | Person | 2 | 1 | 74 | |
Number of work-related injuries | Person | 36 | 28 | 74 | |
Work-related fatalities | fatalities | 1 | 17 |
Lost days due to work injury.
Indicator | Unit | 2023 | 2024 | Report Pages |
---|---|---|---|---|
Number of working days lost | Day | 1192 | 1998 | 74 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
---|---|---|---|---|---|
R&D investment | million RMB | 196.6 | 219.11 | 275.33 | 47 |
Total number of trainees | Persons | 549 | 66 | ||
Total number of training participation | Person-time | 286041 | 72 | ||
Training participation rate of employees | % | 100 | 72 | ||
Training participation rate of female employees | % | 100 | 72 | ||
Training participation rate of male employees | % | 100 | 72 | ||
Training participation rate of mid-level management staff | % | 100 | 72 | ||
Training participation rate of other employees | % | 100 | 72 | ||
Training participation rate of senior management staff | % | 100 | 72 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Average training hours of employees | Hour | 261.97 | 72 |
Average training hours of female employees | Hour | 299.74 | 72 |
Average training hours of male employees | Hour | 246.46 | 72 |
Average training hours of mid-level management staff | Hour | 359.91 | 72 |
Average training hours of other employees | Hour | 257.99 | 72 |
Average training hours of senior management staff | Hour | 240.7 | 72 |
Number of training programs conducted | Session | 10381 | 72 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Year-on-year increase in revenue | % | 39 | 5 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2024 | Report Pages |
---|---|---|---|
Average household income of pig farmers cooperating with company | RMB | 77000 | 5 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2024 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 381.83 |
NOₓ Emissions | kg | 3006.91 |
SOₓ Emissions | kg | 47.73 |
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 | 2024 |
---|---|---|
Direct GHG Emissions (Scope 1) | tonnes of CO2 equivalent | 15353 |
Indirect Energy Emissions (Scope 2) | tonnes of CO2 equivalent | 142606 |
Total GHG Emissions | tonnes of CO2 equivalent | 157959 |
Total GHG Emissions Intensity (By Revenue) | tonnes of CO2 equivalent/RMB million | 61.8 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2024 |
---|---|---|
Total Hazardous Waste | tonnes | 143 |
Total Hazardous Waste Intensity (By Unit Product) | 0.056 |
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 (Domestic Waste) | tonnes | 1079 | 1147 |
Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/RMB million | 69.6 |
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 | 2024 |
---|---|---|
Diesel Fuel Consumption | tonnes | 887.1 |
Energy Consumption Intensity (By Revenue) | MWh/RMB million | 130.65 |
Fossil Fuel Consumption | tonnes | 1568.25 |
Gasoline Consumption | tonnes | 23.08 |
LPG Consumption | tonnes | 28 |
Natural Gas Consumption | ten thousand cubic metres | 477.29 |
Purchased Electricity | MWh | 265759.12 |
Total Energy Consumption | MWh | 333924.67 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Total Wastewater Discharge | m³ | 400115 | 588536 |
Water Consumption | m³ | 12709708 | |
Water Consumption Intensity (By Revenue) | m³/RMB million | 4972.69 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2022 to 2025 |
---|---|---|
Target Energy Consumption Reduction Percentage Compared to Last Year | % | -2.8 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Number of Contractors | Persons | 10475 |
Number of Female Employees | Persons | 3050 |
Number of Male Employees | Persons | 7425 |
Number of New Employees | Persons | 4694 |
Number of Total Employees | Persons | 10843 |
Percentage of Bachelor's Degree Employees | % | 19.1 |
Percentage of Below Junior College Employees | % | 33.3 |
Percentage of Employees Aged 30-50 | % | 50 |
Percentage of Employees Aged Above 50 | % | 8 |
Percentage of Employees Aged Below 30 | % | 42 |
Percentage of Employees in Mainland China | % | 51 |
Percentage of Employees in Overseas | % | 49 |
Percentage of Female Employees | % | 28.13 |
Percentage of Male Employees | % | 68.48 |
Percentage of Master's Degree Employees | % | 2.4 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2024 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 17.03 |
Turnover Rate of Employees Aged Above 50 | % | 8.86 |
Turnover Rate of Employees Aged Below 30 | % | 24.6 |
Turnover Rate of Female Employees | % | 20.72 |
Turnover Rate of Male Employees | % | 19.48 |
Turnover Rate of Middle Management Employees | % | 4.64 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2022 | 2024 |
---|---|---|---|
Number of Work-related Fatalities | Person | 2 | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2023 | 2024 |
---|---|---|---|
Lost Days Due to Work-related Injuries | Day | 1192 | 1998 |
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 | % | 100 |
Percentage of Trained Male Employees | % | 100 |
Percentage of Trained Middle Management | % | 100 |
Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2024 |
---|---|---|
Average Training Hours (Female) | Hour | 299.74 |
Average Training Hours (Male) | Hour | 246.46 |
Average Training Hours (Middle Management) | Hour | 359.91 |
Average Training Hours (Senior Management) | Hour | 240.7 |
Average Training Hours per Employee | Hour | 261.97 |