ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| NOₓ emissions in exhaust gas | tons | 156.77 | 119.39 | 39 |
| SO₂ emissions in exhaust gas | tons | 86.04 | 64.66 | 39 |
| Soot emissions in exhaust gas | tons | 0.6 | 0.45 | 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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Emissions of greenhouse gas (scope I) | tCO₂e | 782103.74 | 746684.94 | 39 |
| Emissions of greenhouse gas (scope II) | tCO₂e | 173039.87 | 182802.02 | 39 |
| Emissions of greenhouse gas per million revenue | tCO₂e/million | 173.22 | 154.39 | 39 |
| Total emissions of greenhouse gas | tCO₂e | 955143.61 | 929486.96 | 39 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Production of major hazardous waste | tons | 397.92 | 146.69 | 39 |
| Production of major hazardous waste per million revenue | ton/million | 72.17 | 24.37 | 39 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Harmless disposal of cows died due to diseases | heads | 15109 | 14464 | 39 |
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 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Biogas consumption | Ten thousand cubic meters | 15050.08 | 11276.52 | 34 |
| Diesel | Ten thousand liters | 667.29 | 579.34 | 34 |
| Expected annual savings from utilization of biogas to dry biogas residue at Saibei Farm | RMB/year | 450000 | 32 | |
| Fuel coal | Ten thousand tons | 0.44 | 0.33 | 34 |
| Gasoline | Ten thousand liters | 21.11 | 16.67 | 34 |
| Main energy structure of Modern Dairy - Biogas | % | 1.8 | 33 | |
| Main energy structure of Modern Dairy - Diesel | % | 5.7 | 33 | |
| Main energy structure of Modern Dairy - Electricity | % | 27.1 | 33 | |
| Main energy structure of Modern Dairy - Fuel coal | % | 63 | 33 | |
| Main energy structure of Modern Dairy - Gasoline | % | 0.1 | 33 | |
| Main energy structure of Modern Dairy - Natural gas | % | 2.3 | 33 | |
| Natural gas | Ten thousand cubic meters | 166.96 | 223.37 | 34 |
| Number of new 6-ton boilers purchased for Saibei Farm II and IV | units | 3 | 32 | |
| Reduction in annual purchased natural gas cost at Saibei Farm | RMB | 3000000 | 32 | |
| Total amount of outsourced electricity | Ten thousand kWh | 25481.34 | 28207.35 | 34 |
| Total energy consumption | Ten thousand tons of standard coal | 15.27 | 12.8 | 34 |
| Total energy consumption per million revenue | Tons of standard coal/million | 27.69 | 21.25 | 34 |
| Total investment in wind turbine remote control switch transformation | RMB | 218000 | 32 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Total water consumption | Ten thousand tons | 988.75 | 959.93 | 34 |
| Water consumption per million revenue | Ten thousand tons/million | 0.18 | 0.16 | 34 |
| Water consumption used for cleaning rotary plates in milking parlors per shift after transformation | tons per shift | 6 | 33 | |
| Water consumption used for cleaning rotary plates in milking parlors per shift before transformation | tons per shift | 9 | 33 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Annual electricity cost savings from wind turbine remote control switch transformation | RMB/year | 136000 | 32 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Annual water saved by cleaning rotary plates in milking parlors after transformation | tons per year | 141912 | 33 |
| Annual water saved per shift by cleaning rotary plates in milking parlors after transformation | tons per shift | 3 | 33 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of legal entities accredited with ISO14001 environmental management system and ISO45001 occupational health and safety management system | legal entities | 14 | 72 |
| Number of wind turbines improved at Hongya Farm | units | 1344 | 32 |
| Number of wind turbines improved at Shanghe Farm | units | 1040 | 32 |
| Number of wind turbines improved at Shangzhi Farm | units | 650 | 32 |
| Number of wind turbines improved at Wenshang Farm | units | 845 | 32 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Local employment rate | % | 66.7 | 68 |
| Number of staff in administrative positions | person | 316 | 68 |
| Number of staff in management positions | person | 389 | 68 |
| Number of staff in other positions | person | 264 | 68 |
| Number of staff in production positions | person | 2015 | 68 |
| Number of staff in professional and technical positions | person | 1471 | 68 |
| Percentage of staff in administrative positions | % | 7 | 68 |
| Percentage of staff in management positions | % | 9 | 68 |
| Percentage of staff in other positions | % | 6 | 68 |
| Percentage of staff in production positions | % | 45 | 68 |
| Percentage of staff in professional and technical positions | % | 33 | 68 |
| Total number of employees | person | 4455 | 68 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Amount of training expenses | RMB'000 | 52 | 76 |
| Management training | Hour | 9771.56 | 76 |
| Number of trainees | Person-time | 139820 | 76 |
| Of which: professional training | Hour | 54851.59 | 76 |
| Other training | Hour | 37770.57 | 76 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Average training hours of employees | Hour/person | 22.81 | 76 |
| Average training hours of female employees | Hour/person | 21.5 | 76 |
| Average training hours of male employees | Hour/person | 23.7 | 76 |
| Training time | Hour | 102393.72 | 76 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Domestic cooperative suppliers | Supplier | 544 | 62 |
| Overseas cooperative suppliers | Supplier | 23 | 62 |
| Total number of cooperative suppliers | Supplier | 567 | 62 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tons | 0.6 | 0.45 |
| NOₓ Emissions | tons | 156.77 | 119.39 |
| SOₓ Emissions | tons | 86.04 | 64.66 |
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 | 2019 | 2020 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO₂e | 782103.74 | 746684.94 |
| Indirect Energy Emissions (Scope 2) | tCO₂e | 173039.87 | 182802.02 |
| Total GHG Emissions | tCO₂e | 955143.61 | 929486.96 |
| Total GHG Emissions Intensity (By Revenue) | tCO₂e/million | 173.22 | 154.39 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Total Hazardous Waste | tons | 397.92 | 146.69 |
| Total Hazardous Waste Intensity (By Revenue) | ton/million | 72.17 | 24.37 |
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 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 4.27 |
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 | 2019 | 2020 |
|---|---|---|---|
| Biomass Energy | Ten thousand cubic meters | 15050.08 | 11276.52 |
| Diesel Fuel Consumption | Ten thousand liters | 667.29 | 579.34 |
| Energy Consumption Intensity (By Revenue) | Tons of standard coal/million | 27.69 | 21.25 |
| Fossil Fuel Consumption | Ten thousand tons | 0.44 | 0.33 |
| Gasoline Consumption | Ten thousand liters | 21.11 | 16.67 |
| Natural Gas Consumption | Ten thousand cubic meters | 166.96 | 223.37 |
| Purchased Electricity | Ten thousand kWh | 25481.34 | 28207.35 |
| Total Energy Consumption | Ten thousand tons of standard coal | 15.27 | 12.8 |
| Total Indirect Energy Consumption | Ten thousand kWh | 25481.34 | 28207.35 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Water Consumption | Ten thousand tons | 988.75 | 959.93 |
| Water Consumption Intensity (By Revenue) | Ten thousand tons/million | 0.18 | 0.16 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Investment in Energy-saving and Emission-reduction Technology Transformation | RMB/year | 136000 |
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 | 2020 |
|---|---|---|
| Water Consumption Reduction Compared to Last Year | tons per year | 141912 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Employees Aged 30-50 | person | 3115 |
| Number of Employees Aged Above 50 | person | 259 |
| Number of Employees Aged Below 30 | person | 628 |
| Number of Female Employees | person | 1476 |
| Number of Male Employees | person | 2979 |
| Number of Total Employees | person | 4455 |
| Percentage of Employees Aged 30-50 | % | 70 |
| Percentage of Employees Aged Above 50 | % | 6 |
| Percentage of Employees Aged Below 30 | % | 14 |
| Percentage of Female Employees | % | 33 |
| Percentage of Male Employees | % | 67 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Management training | Hour | 9771.56 |
| Number of trainees | Person-time | 139820 |
| Total Cost of Training | RMB | 52000 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Average Training Hours (Female) | Hour/person | 21.5 |
| Average Training Hours (Male) | Hour/person | 23.7 |
| Average Training Hours per Employee | Hour/person | 22.81 |
| Total Training Hours | Hour | 102393.72 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Suppliers in Overseas | Supplier | 23 |
| Number of Total Suppliers | Supplier | 567 |