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 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
NOₓ emission | tonne | 445 | 219 | 199 | 37 |
SO₂ emission | tonne | 133 | 39 | 37 | 37 |
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 | Report Pages |
---|---|---|---|
CO2 purchase per unit product reduction compared to 2018 | 3.85% | 5 | |
Total emission density of greenhouse gases | kg of CO2 equivalent/kL production | 120.15 | 38 |
Total emission density of greenhouse gases (Range 1) | kg of CO2 equivalent/kL production | 40.26 | 38 |
Total emission density of greenhouse gases (Range 2) | kg of CO2 equivalent/kL production | 79.89 | 38 |
Total emission of greenhouse gases | tonne of CO2 equivalent | 927797 | 38 |
Total emission of greenhouse gases (Range 1) | tonne of CO2 equivalent | 310871 | 38 |
Total emission of greenhouse gases (Range 2) | tonne of CO2 equivalent | 616926 | 38 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Distiller's dried grain amount generated | kt | 136.5 | 138.8 | 134.1 | 39 |
Distiller's dried grain amount recycled | kt | 136.5 | 138.8 | 134.1 | 39 |
Distiller's dried grain recycle rate | 100% | 100% | 100% | 39 | |
Dried yeast amount generated | kt | 11.3 | 11.5 | 11.6 | 39 |
Plastic film consumption | kt | 12.5 | 12.3 | 12.8 | 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 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Dried yeast amount recycled | kt | 11.3 | 11.5 | 11.6 | 39 |
Dried yeast recycle rate | 100% | 100% | 100% | 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 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Coal consumption | 10000 tonnes of standard coal | 7 | 4.2 | 3 | 35 |
Comprehensive energy consumption per unit product of beer | Standard coal per kL | 0.05 | 0.04 | 0.04 | 35 |
Diesel consumption | kt | 0.13 | 0.025 | 0.002 | 35 |
Electric power consumption | 10 million kWh | 51.5 | 53.2 | 52.1 | 35 |
Natural gas consumption | 10 million m³ | 6.93 | 9.43 | 9.84 | 35 |
Thermal energy consumption | Billion kJ | 3838 | 3826 | 3857 | 35 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Comprehensive energy consumption per unit product reduction compared to 2018 | 5% | 5 |
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 | 2019 | Report Pages |
---|---|---|---|
Water consumption per unit product reduction compared to 2018 | 3% | 5 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Bottles consumption | kt | 1125 | 1219 | 1281 | 39 |
Cartons consumption | kt | 206 | 226 | 227 | 39 |
Pop-top cans consumption | kt | 61 | 63 | 65 | 39 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Employees helped by the 'Employee Care Fund' | 22 | 5 | |
Happiness index of employees | 92.24% | 55 | |
Number of employees | 38169 | 5 | |
Number of staffs on active duty | 38169 | 55 | |
Proportion of female staffs | 11313 | 55 | |
Proportion of male staffs | 26856 | 55 | |
Proportion of staffs (percentage) | 70.36% | 55 | |
Proportion of staffs aged 30 and below | 24.75% | 55 | |
Proportion of staffs aged 31-40 | 35.72% | 55 | |
Proportion of staffs aged 41-50 | 28.61% | 55 | |
Proportion of staffs aged above 50 | 10.84% | 55 | |
Staffs aged 30 and below | 9446 | 55 | |
Staffs aged 31-40 | 13627 | 55 | |
Staffs aged 41-50 | 10913 | 55 | |
Staffs aged above 50 | 4138 | 55 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Voluntary turnover rate | 12.33% | 55 |
Lost days due to work injury.
Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Loss of working days due to job-related injuries | day | 376 | 187 | 289 | 52 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Golden Wheat Ear incentive shared among employees | million yuan | 37 | 55 |
Number of suppliers by geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of applicable suppliers for the company | 1700 | 61 | |
Number of jointly owned/operated breweries | 2 | 8 | |
Number of wholly-owned/holding subsidiaries | 60 | 8 | |
Percentage of local Chinese suppliers | over 99% | 61 |
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 collaborative suppliers of materials for production evaluated | 300 | 61 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Sales revenue | hundred million yuan | 279.84 | 5 |
Sales volume | 10000 kl | 805 | 5 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
EPS | yuan | 1.371 | 5 |
Number of happiness index questionnaires collected | 23750 | 55 | |
Sales growth in Benin | 77% | 8 | |
Sales growth in Burundi | 100% | 8 | |
Sales growth in Costa Rica | 125% | 8 | |
Sales growth in Ecuador | 93% | 8 | |
Sales growth in Equatorial Guinea | 100% | 8 | |
Sales growth in Germany | 33% | 8 | |
Sales growth in Hungary | 86% | 8 | |
Sales growth in Israel | 87% | 8 | |
Sales growth in Maldives | 100% | 8 | |
Sales growth in Norway | 56% | 8 | |
Sales growth in Russia | 30% | 8 | |
Sales growth in Saipan | 104% | 8 | |
Sales growth in Sweden | 48% | 8 | |
Sales growth in Tanzania | 100% | 8 | |
Sales growth in The Dominican Republic | 174% | 8 | |
Sales growth in Uruguay | 63% | 8 | |
Sales growth in Vietnam | 205% | 8 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Brand value | billion yuan | 163.772 | 8 |
Number of provinces, municipalities and autonomous regions in China with breweries | 20 | 8 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Public welfare investment | million yuan | 3.1 | 5 | |
Special budget to battle COVID-19 in cash | million yuan | 10.81 | 5 | |
Special budget to battle COVID-19 in supplies | million yuan worth of supplies | 3.03 | 5 | |
Total sum of 'Employee Care Fund' | million yuan | 0.63 | 5 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
NOₓ Emissions | tonne | 445 | 219 | 199 |
SOₓ Emissions | tonne | 133 | 39 | 37 |
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 |
---|---|---|
Direct GHG Emissions (Scope 1) | tonne of CO2 equivalent | 310871 |
Indirect Energy Emissions (Scope 2) | tonne of CO2 equivalent | 616926 |
Scope 1 GHG Emissions Intensity (By Product Volume) | kg of CO2 equivalent/kL production | 40.26 |
Scope 2 GHG Emissions Intensity (By Product Volume) | kg of CO2 equivalent/kL production | 79.89 |
Total GHG Emissions | tonne of CO2 equivalent | 927797 |
Total GHG Emissions Intensity (By Product Volume) | kg of CO2 equivalent/kL production | 120.15 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Non-Hazardous Waste Recycled | kt | 136.5 | 138.8 | 134.1 |
Recycling Rate of Non-Hazardous Waste | % | 100 | 100 | 100 |
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 | 2017 | 2018 | 2019 |
---|---|---|---|---|
Coal Consumption | 10000 tonnes of standard coal | 7 | 4.2 | 3 |
Comprehensive Energy Consumption Intensity (By Unit Product) | Standard coal per kL | 0.05 | 0.04 | 0.04 |
Diesel Fuel Consumption | kt | 0.13 | 0.025 | 0.002 |
Natural Gas Consumption | 10 million m³ | 6.93 | 9.43 | 9.84 |
Purchased Electricity | 10 million kWh | 51.5 | 53.2 | 52.1 |
Purchased Heating | Billion kJ | 3838 | 3826 | 3857 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % | 5 |
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 | 2019 |
---|---|---|
Water Consumption Reduction Percentage Compared to Last Year | % | 3 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Packaging Materials Consumed | kt | 1404.5 | 1520.3 | 1585.8 |
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 | 24540 | |
Number of Employees Aged Above 50 | 4138 | |
Number of Employees Aged Below 30 | 9446 | |
Number of Female Employees | 11313 | |
Number of Male Employees | 26856 | |
Number of Total Employees | 38169 | |
Percentage of Employees Aged 30-50 | % | 64.33 |
Percentage of Employees Aged Above 50 | % | 10.84 |
Percentage of Employees Aged Below 30 | % | 24.75 |
Percentage of Female Employees | % | 29.64 |
Percentage of Male Employees | % | 70.36 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Turnover Rate of Total Employees | % | 12.33 |
Lost days due to work injury.
Standard Indicator | Unit | 2017 | 2018 | 2019 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | day | 376 | 187 | 289 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Number of Production Safety Emergency Drills | exercise |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Local Suppliers | 1700 | |
Number of Suppliers in Mainland China | 1700 | |
Number of Total Suppliers | 1700 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Donations to Disaster Relief Contributions to Public Welfare | million yuan | 13.84 | |
Total Cash Donations | million yuan | 10.81 | |
Total In-kind Donations | million yuan | 3.03 | |
Total Public Welfare Donations | million yuan | 3.73 | 13.84 |
Total Social Investment | million yuan | 3.73 | 13.84 |