ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| NOx emissions in exhaust gas | tons | 155.06 | 155.91 | 31 |
| SO2 emissions in exhaust gas | tons | 88.14 | 86.04 | 31 |
| Soot emissions in exhaust gas | tons | 0.68 | 0.6 | 31 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Emissions of greenhouse gas (scope I) | tCO2e | 768843.05 | 781081.79 | 31 |
| Emissions of greenhouse gas (scope II) | tCO2e | 160944.13 | 173039.87 | 31 |
| Emissions of greenhouse gas per million revenue | tCO2e/million | 197.16 | 173.04 | 31 |
| Total emissions of greenhouse gas | tCO2e | 929787.18 | 954121.66 | 31 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Production of major hazardous waste | tons | 371.5 | 397.92 | 31 |
| Production of major hazardous waste per million revenue | ton/million | 78.77 | 72.17 | 31 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Harmless disposal of cows died due to diseases | heads | 11349 | 15109 | 31 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Biogas consumption (Ten thousand cubic meters) | Ten thousand cubic meters | 14602.73 | 15050.08 | 32 |
| Diesel (Ten thousand liters) | Ten thousand liters | 608.53 | 667.29 | 32 |
| Fuel coal (Ten thousand tons) | Ten thousand tons | 0.49 | 0.44 | 32 |
| Gasoline (Ten thousand liters) | Ten thousand liters | 18.25 | 20.47 | 32 |
| Main energy structure - Biogas | 24% | 31 | ||
| Main energy structure - Diesel | 1% | 31 | ||
| Main energy structure - Electricity | 68% | 31 | ||
| Main energy structure - Fuel coal | 0% | 31 | ||
| Main energy structure - Gasoline | 2% | 31 | ||
| Main energy structure - Natural gas | 5% | 31 | ||
| Natural gas (Ten thousand cubic meters) | Ten thousand cubic meters | 210.54 | 120.9 | 32 |
| Reduction in coal consumption | % | 11.43 | 27 | |
| Reduction in natural gas consumption | % | 42.57 | 27 | |
| Total amount of outsourced electricity (Ten thousand kWh) | Ten thousand kWh | 23689.61 | 25481.34 | 32 |
| Total energy consumption (Ten thousand tons of standard coal) | Ten thousand tons of standard coal | 14.75 | 15.77 | 32 |
| Total energy consumption per million revenue (Tons of standard coal/million) | Tons of standard coal/million | 31.28 | 28.6 | 32 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Percentage of silage quality and demand of starch | % | 60 | 36 | |
| Total water consumption (Ten thousand tons) | Ten thousand tons | 1011.47 | 988.75 | 32 |
| Water consumption per million revenue (Ten thousand tons/million) | Ten thousand tons/million | 0.21 | 0.18 | 32 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Content of dry matters in silage | % | 32–36 | 36 |
| Farmers engaged in forage planting | farmers | 60000 | 72 |
| Forage planting area | million mu | 1.07 | 72 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Occupational disease body check coverage rate | 100% | 63 | |
| Supplementary commercial insurance coverage rate | 100% | 63 | |
| Supplementary medical insurance coverage rate | up to 100% | 63 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Number of open courses on leadership and core general skills provided | courses | 18 | 69 | |
| Number of part-time internal trainer candidates selected | persons | 44 | 68 | |
| Number of part-time internal trainers successfully qualified and hired | persons | 42 | 68 | |
| Number of people signed up for part-time internal trainer program | persons | 71 | 68 | |
| Number of personnel with deputy director level or above who participated in open courses | personnel | 18 | 69 | |
| Number of training sessions (whole company) | sessions | 136674 | 65 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average staff training hours by gender: Female | hours | 29 | 65 |
| Average staff training hours by gender: Male | hours | 29 | 65 |
| Average training hours per employee | hours | 29 | 65 |
| Total training hours (whole company) | hours | 146515.87 | 65 |
| Training expenditures | RMB | 120000 | 65 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of logistics companies selected for milk transportation | companies | 9 | 53 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Number of supervising bidding activities conducted by farms and centres | activities | 296 | 13 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Gold Prize of Monde Selection and International High Quality Trophy | awarded | 11 | |
| Gold Pure Milk Gold Prize at Monde Selection (first time) | awarded | 7 | |
| Proportion of milk tank parts made by 304 food-grade level stainless steel and reached workshop standard | 100% | 53 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Economic losses recovered from case investigations | RMB | 11300000 | 13 |
| Most Valuable small and Mid-Cap Company award at the Golden Hong Kong Stock Awards | awarded | 11 | |
| Number of abnormal circumstances found during bidding process | cases | 4 | 13 |
| Number of directly responsible persons investigated and punished | persons | 57 | 13 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of case clues received by discipline inspection centre | cases | 36 | 13 |
| Number of persons questioned in case investigations | persons | 12 | 13 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Green Development Award for Quality Dairy Work at the 6th International Symposium on Dairy Nutrition and Milk Quality | awarded | 11 | |
| Top Ten Influential Women in China Economy (Gao Lina, CEO) | awarded | 11 | |
| Top Ten Leading Brands in China award at the 2019 Boao Enterprise Forum & 2019 Boao Women’s Forum | awarded | 11 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Direct income brought to farmers from forage planting | RMB | 680000000 | 72 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tons | 0.68 | 0.6 |
| NOâ‚“ Emissions | tons | 155.06 | 155.91 |
| SOâ‚“ Emissions | tons | 88.14 | 86.04 |
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 | 2018 | 2019 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 768843.05 | 781081.79 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 160944.13 | 173039.87 |
| Total GHG Emissions | tCO2e | 929787.18 | 954121.66 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/million | 197.16 | 173.04 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Total Hazardous Waste | tons | 371.5 | 397.92 |
| Total Hazardous Waste Intensity (By Revenue) | ton/million | 78.77 | 72.17 |
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).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Diesel Fuel Consumption | ten thousand liters | 608.53 | 667.29 |
| Energy Consumption Intensity (By Revenue) | tons of standard coal/million | 31.28 | 28.6 |
| Fossil Fuel Consumption | ten thousand tons | 0.49 | 0.44 |
| Gasoline Consumption | ten thousand liters | 18.25 | 20.47 |
| Natural Gas Consumption | ten thousand cubic meters | 210.54 | 120.9 |
| Percentage of Renewable Energy Consumption | % | 24 | |
| Purchased Electricity | ten thousand kWh | 23689.61 | 25481.34 |
| Total Energy Consumption | ten thousand tons of standard coal | 14.75 | 15.77 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Water Consumption | Ten thousand tons | 1011.47 | 988.75 |
| Water Consumption Intensity (By Revenue) | Ten thousand tons/million | 0.21 | 0.18 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees Aged 30-50 | persons | 3177 |
| Number of Employees Aged Above 50 | persons | 1336 |
| Number of Employees Aged Below 30 | persons | 540 |
| Number of Female Employees | persons | 3413 |
| Number of Male Employees | persons | 1640 |
| Number of Total Employees | employees | 5053 |
| Percentage of Employees Aged 30-50 | % | 62 |
| Percentage of Employees Aged Above 50 | % | 27 |
| Percentage of Employees Aged Below 30 | % | 11 |
| Percentage of Female Employees | % | 68 |
| Percentage of Male Employees | % | 32 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Total Employees | % |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Health Check Coverage for Employees | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours (Female) | hours | 29 |
| Average Training Hours (Male) | hours | 29 |
| Average Training Hours per Employee | hours | 29 |
| Total Training Hours | hours | 146515.87 |
| Training Hours of Professional Skills Development | hours | 79039.1 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Confirmed Incidents of Corruption | persons | 4 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit |
|---|---|
| Number of Anti-corruption Training Session | trainings |
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons |