2020 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Air emissions of nitrogen oxides (NOx) | tonnes | 45.2273 | 51 | |
Air emissions of particulate matter (PM) | kg | 3.2761 | 51 | |
Air emissions of sulphur oxides (SOx) | tonnes | 26.2321 | 51 | |
NOx air emissions | Kg | 34528.6 | 45227.3 | 131 |
NOx air emissions intensity (per million RMB) | 8.14 | 11.73 | 131 | |
PM air emissions | Kg | 5543.5 | 3276.1 | 131 |
PM air emissions intensity (per million RMB) | 1.31 | 0.85 | 131 | |
SO2 air emissions | Kg | 12152.6 | 26232.1 | 131 |
SO2 air emissions intensity (per million RMB) | 2.87 | 6.81 | 131 | |
Total amount of SO2, NOx, and PM emissions | % change compared to 2019 | -19.9 | 75 |
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 |
---|---|---|---|---|
GHG emissions (Administration Office business segment) | tonnes CO2e | 1066.57 | 51 | |
GHG emissions (Angxi location) | tonnes CO2e | 8534.24 | 51 | |
GHG emissions (Aroma Raw Materials business segment) | tonnes CO2e | 8894.1 | 51 | |
GHG emissions (Biomass use) | tonnes CO2e | 778.55 | 51 | |
GHG emissions (Coal use) | tonnes CO2e | 26774.4 | 51 | |
GHG emissions (Condiments business segment) | tonnes CO2e | 895.12 | 51 | |
GHG emissions (Electricity use) | tonnes CO2e | 19098.95 | 51 | |
GHG emissions (Flavours and Fragrances business segment) | tonnes CO2e | 4085.1 | 51 | |
GHG emissions (Guangdong location) | tonnes CO2e | 40477.32 | 51 | |
GHG emissions (Hong Kong location) | tonnes CO2e | 1044.61 | 51 | |
GHG emissions (Jiangxi location) | tonnes CO2e | 15.62 | 51 | |
GHG emissions (Paper use) | tonnes CO2e | 55.97 | 51 | |
GHG emissions (Refrigerant use) | tonnes CO2e | 1014.04 | 51 | |
GHG emissions (Scope 1) | tonnes CO2e | 35588.64 | 51 | |
GHG emissions (Scope 2) | tonnes CO2e | 19096.96 | 51 | |
GHG emissions (Scope 3) | tonnes CO2e | 565.76 | 51 | |
GHG emissions (Tobacco Raw Materials business segment) | tonnes CO2e | 35299.46 | 51 | |
GHG emissions (total, as per Sankey diagram) | tonnes CO2e | 55241.35 | 51 | |
GHG removals from newly planted trees | tonnes CO2e | 18.6 | 189.8 | 131 |
GHG removals from newly planted trees intensity (per million RMB) | 0.004 | 0.05 | 131 | |
Refrigerant consumption | Kg | 3344 | 2200 | 133 |
Refrigerant intensity per million RMB | Kg/million RMB | 0.8 | 0.6 | 133 |
Scope 1 (Direct Emissions) GHG emissions | tonnes CO2e | 45754.1 | 35588.6 | 131 |
Scope 1 (Direct Emissions) GHG emissions intensity (per million RMB) | 10.79 | 9.23 | 131 | |
Scope 2 (Energy Indirect Emissions) GHG emissions | tonnes CO2e | 33219.3 | 19086.9 | 131 |
Scope 2 (Energy Indirect Emissions) GHG emissions intensity (per million RMB) | 7.83 | 4.95 | 131 | |
Scope 3 (Other Indirect Emissions) GHG emissions | tonnes CO2e | 299.4 | 565.8 | 131 |
Scope 3 (Other Indirect Emissions) GHG emissions intensity (per million RMB) | 0.07 | 0.15 | 131 | |
Total GHG emissions | tonnes CO2e | 55051.5 | 51 | |
Total GHG emissions (Scope 1, 2 & 3) | tonnes CO2e | 79254.2 | 55051.5 | 131 |
Total GHG emissions (Scope 1, 2 & 3) intensity (per million RMB) | 18.69 | 14.28 | 131 | |
Total GHG emissions and intensity | % change compared to 2019 | -30.5% and -23.6% | 75 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | FY2020 | Report Pages |
---|---|---|---|---|---|
Hazardous industrial wastewater generated | m3 | 534038.9 | 51 | ||
Hazardous solid waste generated | tonnes | 150.5 | 51 | ||
Hazardous wastewater | m³ | 487217.9 | 452018.9 | 131 | |
Hazardous wastewater intensity (per million RMB) | 114.88 | 117.3 | 131 | ||
Solid hazardous waste | tonnes | 8602.6 | 6874.2 | 131 | |
Solid hazardous waste intensity (per million RMB) | 2.03 | 1.78 | 131 | ||
Total amount of hazardous solid waste generated by the Group - general industrial wastes | tonnes | 6723.7 | 132 | ||
Total amount of hazardous solid waste generated by the Group - hazardous wastes | tonnes | 150.5 | 132 | ||
Total amount of non-hazardous wastewater generated by the Group - hazardous wastewater | m³ | 354038.9 | 132 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | FY2020 | Report Pages |
---|---|---|---|---|---|
Amount of domestic and commercial wastes generated | % increase compared to 2019 | 18.5 | 75 | ||
Domestic and commercial solid waste | tonnes | 872.2 | 1033.2 | 131 | |
Domestic and commercial solid waste intensity (per million RMB) | 0.21 | 0.27 | 131 | ||
Intensity of domestic and commercial wastes generated | % increase compared to 2019 | 28.6 | 75 | ||
Non-hazardous commercial and domestic solid waste generated | tonnes | 1033.2 | 51 | ||
Non-hazardous commercial and domestic solid waste intensity | tonnes/Million RMB | 0.21 | 51 | ||
Non-hazardous industrial waste generated | tonnes | 1673.7 | 51 | ||
Non-hazardous industrial waste intensity | tonnes/Million RMB | 1.74 | 51 | ||
Paper consumption | Kg | 8893.4 | 7523.8 | 133 | |
Paper intensity per million RMB | Kg/million RMB | 2.1 | 2 | 133 | |
Total amount of non-hazardous wastewater generated by the Group - general industrial wastewater | m³ | 97980 | 132 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Avoidance of GHG emissions through renewable energy | tonnes CO2e | 1188.03 | 51 |
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 | Report Pages |
---|---|---|---|
Effective policy implementation in industrial waste management (drop in hazardous waste) | % decrease in amount of production and hazardous solid waste | -20 | 75 |
Wastewater generation | million tonnes | 89.9334 | 75 |
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 |
---|---|---|---|---|
Amount of diesel consumed | slightly increased | 75 | ||
Amount of gasoline consumed | % decrease compared to 2019 | -2.2 | 75 | |
Biomass consumption | Tonnes | 570 | 660 | 133 |
Biomass intensity per million RMB | Tonnes/million RMB | 0.1 | 0.2 | 133 |
Coal consumption | Tonnes | 12282 | 9940.3 | 133 |
Coal intensity per million RMB | Tonnes/million RMB | 2.9 | 2.6 | 133 |
Diesel consumption | L | 298729.2 | 293641.3 | 133 |
Diesel intensity per million RMB | L/million RMB | 70.4 | 76.2 | 133 |
Electricity consumption | kWh'000 | 60861.7 | 35568.9 | 133 |
Electricity intensity per million RMB | kWh'000/million RMB | 14.4 | 9.2 | 133 |
Gasoline consumption | L | 191017.4 | 186753.8 | 133 |
Gasoline intensity per million RMB | L/million RMB | 45 | 48.5 | 133 |
Natural gas consumption | m³ | 4692951.9 | 2169574 | 133 |
Natural gas intensity per million RMB | m³/million RMB | 1106.6 | 562.9 | 133 |
Steam consumption | Tonnes | 85059 | 385263 | 133 |
Steam intensity per million RMB | Tonnes/million RMB | 20.1 | 100 | 133 |
Total energy consumption | % change compared to 2019, GJ | 533458.8 | 374005 | 75, 133 |
Total energy intensity per million RMB | GJ/million RMB | 138.4 | 97 | 133 |
Town gas consumption | m³ | 12 | 12 | 133 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Amount of water withdrawn by the Group | % decrease compared to 2019 | -5 | 75 | |
Commercial and domestic wastewater generated | m3 | 106573 | 51 | |
Domestic and commercial wastewater | m³ | 155327.4 | 106573 | 131 |
Domestic and commercial wastewater intensity (per million RMB) | 36.63 | 27.7 | 131 | |
Non-hazardous industrial wastewater generated | m3 | 97980 | 51 | |
Wastewater recycled | ten thousand tonnes | 314.054 | 75 | |
Water consumption | m³ | 875947 | 832461.6 | 133 |
Water intensity per million RMB | m³/million RMB | 206.5 | 216 | 133 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Group's special energy focus: reducing electricity, natural gas, and coal | % change in coal and electricity consumption respectively | -49.1% and -10.3% | 75 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Increase in total packaging materials consumed | % increase compared to 2019 | 12.8 | 75 | |
Metal packaging materials consumption | Tonnes | 268 | 207 | 133 |
Metal packaging materials intensity per million RMB | Tonnes/million RMB | 0.1 | 0.1 | 133 |
Other packaging materials consumption | Tonnes | 3618 | 2777.1 | 133 |
Other packaging materials intensity per million RMB | Tonnes/million RMB | 0.9 | 0.7 | 133 |
Paper packaging materials consumption | Tonnes | 3355.7 | 4849.5 | 133 |
Paper packaging materials intensity per million RMB | Tonnes/million RMB | 0.8 | 1.3 | 133 |
Plastic packaging materials consumption | Tonnes | 1761.3 | 2317.6 | 133 |
Plastic packaging materials intensity per million RMB | Tonnes/million RMB | 0.4 | 0.6 | 133 |
Total packaging materials consumed | tonnes | 10151.1 | 75 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total workforce as of 31st December 2020 | persons | 3458 | 17 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Employee turnover rate (percentage) - Africa | % | 3.6 | 138 |
Employee turnover rate (percentage) - Female - Aged 30 or below | % | 31.7 | 138 |
Employee turnover rate (percentage) - Female - Aged 51 or above | % | 40.8 | 138 |
Employee turnover rate (percentage) - Female - Aged between 31 and 40 | % | 26 | 138 |
Employee turnover rate (percentage) - Female - Aged between 41 and 50 | % | 17.5 | 138 |
Employee turnover rate (percentage) - Female - Total | % | 25.3 | 138 |
Employee turnover rate (percentage) - Fujian | % | <1 | 138 |
Employee turnover rate (percentage) - Germany | % | 12.5 | 138 |
Employee turnover rate (percentage) - Guangdong | % | 31.6 | 138 |
Employee turnover rate (percentage) - Hong Kong | % | 6.9 | 138 |
Employee turnover rate (percentage) - Hunan | % | 5.7 | 138 |
Employee turnover rate (percentage) - Jiangsu | % | 22.7 | 138 |
Employee turnover rate (percentage) - Jiangxi | % | 34.9 | 138 |
Employee turnover rate (percentage) - Male - Aged 30 or below | % | 35.8 | 138 |
Employee turnover rate (percentage) - Male - Aged 51 or above | % | 11.7 | 138 |
Employee turnover rate (percentage) - Male - Aged between 31 and 40 | % | 25.8 | 138 |
Employee turnover rate (percentage) - Male - Aged between 41 and 50 | % | 20 | 138 |
Employee turnover rate (percentage) - Male - Total | % | 23.6 | 138 |
Employee turnover rate (percentage) - Shanghai | % | 18.8 | 138 |
Employee turnover rate (percentage) - United States | % | 80 | 138 |
Employee turnover rate (percentage) - Yunnan | % | 11.8 | 138 |
Total employee turnover rate (percentage) - Aged 30 or below | % | 34.4 | 138 |
Total employee turnover rate (percentage) - Aged 51 or above | % | 16.3 | 138 |
Total employee turnover rate (percentage) - Aged between 31 and 40 | % | 25.9 | 138 |
Total employee turnover rate (percentage) - Aged between 41 and 50 | % | 19.1 | 138 |
Total employee turnover rate (percentage) - All ages | % | 24.2 | 138 |
Total employee turnover rate (percentage) - All locations | % | 24.2 | 138 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of work-related injuries | 8 | 4 | 2 | 139 | |
Rate of injuries (per hundred workers) | 0.23 | 0.11 | 0.06 | 139 |
Lost days due to work injury.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Lost days due to work injury | 393 | 139 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of employees trained (General staff, Female) | 913 | 139 | |
Number of employees trained (General staff, Male) | 1835 | 139 | |
Number of employees trained (General staff, Total) | 2748 | 139 | |
Number of employees trained (Middle-level managers, Female) | 46 | 139 | |
Number of employees trained (Middle-level managers, Male) | 144 | 139 | |
Number of employees trained (Middle-level managers, Total) | 190 | 139 | |
Number of employees trained (Senior executives, Female) | 12 | 139 | |
Number of employees trained (Senior executives, Male) | 45 | 139 | |
Number of employees trained (Senior executives, Total) | 57 | 139 | |
Number of employees trained (Senior managers, Female) | 12 | 139 | |
Number of employees trained (Senior managers, Male) | 41 | 139 | |
Number of employees trained (Senior managers, Total) | 53 | 139 | |
Number of employees trained (Total) | 3048 | 139 | |
Number of employees trained (Total, Female) | 983 | 139 | |
Number of employees trained (Total, Male) | 2065 | 139 | |
Percentage of employees trained (General staff, Female) | 83.8% | 139 | |
Percentage of employees trained (General staff, Male) | 90.9% | 139 | |
Percentage of employees trained (General staff, Total) | 88.4% | 139 | |
Percentage of employees trained (Middle-level managers, Female) | 100% | 139 | |
Percentage of employees trained (Middle-level managers, Male) | 100% | 139 | |
Percentage of employees trained (Middle-level managers, Total) | 100% | 139 | |
Percentage of employees trained (Senior executives, Female) | 80% | 139 | |
Percentage of employees trained (Senior executives, Male) | 78.9% | 139 | |
Percentage of employees trained (Senior executives, Total) | 79.2% | 139 | |
Percentage of employees trained (Senior managers, Female) | 60% | 139 | |
Percentage of employees trained (Senior managers, Male) | 60.3% | 139 | |
Percentage of employees trained (Senior managers, Total) | 60.2% | 139 | |
Percentage of employees trained (Total) | 88.1% | 139 | |
Percentage of employees trained (Total, Female) | 83.9% | 139 | |
Percentage of employees trained (Total, Male) | 90.3% | 139 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Average training hours completed by all employees (general staff) | hours | 27 | 140 |
Average training hours completed by all employees (middle-level managers) | hours | 39 | 140 |
Average training hours completed by all employees (senior executives) | hours | 21.8 | 140 |
Average training hours completed by all employees (senior managers) | hours | 10.1 | 140 |
Average training hours completed by all employees (total) | hours | 27.1 | 140 |
Average training hours completed by female employees (total) | hours | 29.9 | 140 |
Average training hours completed by female general staff | hours | 29.7 | 140 |
Average training hours completed by female middle-level managers | hours | 48.2 | 140 |
Average training hours completed by female senior executives | hours | 19.1 | 140 |
Average training hours completed by female senior managers | hours | 8.4 | 140 |
Average training hours completed by male employees (total) | hours | 25.6 | 140 |
Average training hours completed by male general staff | hours | 25.5 | 140 |
Average training hours completed by male middle-level managers | hours | 36.1 | 140 |
Average training hours completed by male senior executives | hours | 22.5 | 140 |
Average training hours completed by male senior managers | hours | 10.6 | 140 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of suppliers in Anhui | 28 | 140 | |
Number of suppliers in Beijing | 8 | 140 | |
Number of suppliers in Chongqing | 5 | 140 | |
Number of suppliers in Fujian | 17 | 140 | |
Number of suppliers in Gansu | 7 | 140 | |
Number of suppliers in Germany | 2 | 140 | |
Number of suppliers in Guangdong | 218 | 140 | |
Number of suppliers in Guangxi | 2 | 140 | |
Number of suppliers in Guizhou | 4 | 140 | |
Number of suppliers in Hainan | 2 | 140 | |
Number of suppliers in Hebei | 21 | 140 | |
Number of suppliers in Henan | 10 | 140 | |
Number of suppliers in Hubei | 8 | 140 | |
Number of suppliers in Hunan | 16 | 140 | |
Number of suppliers in Jiangsu | 145 | 140 | |
Number of suppliers in Jiangxi | 86 | 140 | |
Number of suppliers in Jilin | 2 | 140 | |
Number of suppliers in Korea | 1 | 140 | |
Number of suppliers in Liaoning | 5 | 140 | |
Number of suppliers in Nei Mongol | 1 | 140 | |
Number of suppliers in Shandong | 37 | 140 | |
Number of suppliers in Shanghai | 120 | 140 | |
Number of suppliers in Sichuan | 6 | 140 | |
Number of suppliers in Thailand | 1 | 140 | |
Number of suppliers in Tianjin | 7 | 140 | |
Number of suppliers in Xinjiang | 4 | 140 | |
Number of suppliers in Yunnan | 18 | 140 | |
Number of suppliers in Zhejiang | 32 | 140 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | Kg | 5543.5 | 3276.1 |
NOâ‚“ Emission Intensity (By Revenue) | Kg/Million RMB | 8.14 | 11.73 |
NOâ‚“ Emissions | Kg | 34528.6 | 45227.3 |
PM Emission Intensity (By Revenue) | Kg/Million RMB | 1.31 | 0.85 |
SOâ‚“ Emission Intensity (By Revenue) | Kg/Million RMB | 2.87 | 6.81 |
SOâ‚“ Emissions | Kg | 12152.6 | 26232.1 |
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) | tonnes CO2e | 45754.1 | 35588.6 |
GHG Removals from Newly Planted Trees | tonnes CO2e | 18.6 | 189.8 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 33219.3 | 19086.9 |
Scope 1 GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 10.79 | 9.23 |
Scope 2 GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 7.83 | 4.95 |
Scope 3 GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 0.07 | 0.15 |
Total GHG Emissions | tonnes CO2e | 79254.2 | 55051.5 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 18.69 | 14.28 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 299.4 | 565.8 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | FY2020 |
---|---|---|---|---|
Hazardous Waste (Liquid Waste) | m³ | 487217.9 | 452018.9 | 354038.9 |
Hazardous Waste (Solid Waste) | tonnes | 8602.6 | 6874.2 | 6723.7 |
Total Hazardous Waste Intensity (By Revenue) | per million RMB | 114.88 | 1.78 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Non-Hazardous Waste (Domestic Waste) | tonnes | 872.2 | 1033.2 |
Paper Waste | tonnes | 8.8934 | 7.5238 |
Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/Million RMB | 0.21 | 0.21 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
GHG Emissions Reduction Compared to Last Year | tonnes CO2e | 1188.03 |
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 |
---|---|---|
Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 20 |
Wastewater generation | million tonnes | 89.9334 |
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 | Tonnes | 570 | 660 |
Diesel Fuel Consumption | L | 298729.2 | 293641.3 |
Energy Consumption Intensity (By Revenue) | GJ/million RMB | 138.4 | 97 |
Fossil Fuel Consumption | Tonnes | 12282 | 9940.3 |
Gasoline Consumption | L | 191017.4 | 186753.8 |
Natural Gas Consumption | m³ | 4692951.9 | 2169574 |
Purchased Electricity | kWh'000 | 60861.7 | 35568.9 |
Purchased Electricity Intensity (By Revenue) | kWh'000/million RMB | 14.4 | 9.2 |
Purchased Steam | Tonnes | 85059 | 385263 |
Total Energy Consumption | GJ | 533458.8 | 374005 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Discharge of Industrial Wastewater | m³ | 97980 | |
Recycled Water Usage | m³ | 314054 | |
Total Wastewater Discharge | m³ | 155327.4 | 106573 |
Wastewater Discharge Intensity | m³/million RMB | 36.63 | 27.7 |
Water Consumption | m³ | 875947 | 832461.6 |
Water Consumption Intensity (By Revenue) | m³/million RMB | 206.5 | 216 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | -10.3 |
Energy Consumption Reduction Percentage Compared to Last Year | % | -49.1 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Packaging Material Consumption (Metal) | Tonnes | 268 | 207 |
Packaging Material Consumption (Paper) | Tonnes | 3355.7 | 4849.5 |
Packaging Material Consumption (Plastic) | Tonnes | 1761.3 | 2317.6 |
Packaging Material Intensity (By Revenue) | Tonnes/million RMB | 0.9 | 0.7 |
Packaging Materials Consumed | Tonnes | 10151.1 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Standard Indicator | Unit |
---|---|
Investment in Climate Change Management |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Total Employees | persons | 3458 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 22.5 |
Turnover Rate of Employees Aged Above 50 | % | 16.3 |
Turnover Rate of Employees Aged Below 30 | % | 34.4 |
Turnover Rate of Employees in Hong Kong | % | 6.9 |
Turnover Rate of Employees in United States | % | 80 |
Turnover Rate of Female Employees | % | 25.3 |
Turnover Rate of Male Employees | % | 23.6 |
Turnover Rate of Total Employees | % | 24.2 |
Lost days due to work injury.
Standard Indicator | Unit | 2020 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 393 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Investment in Work Safety | RMB |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of Employees Trained | % | 88.1 |
Percentage of Trained Female Employees | % | 83.9 |
Percentage of Trained General Employees | % | 88.4 |
Percentage of Trained Male Employees | % | 90.3 |
Percentage of Trained Middle Management | % | 100 |
Percentage of Trained Senior Management | % | 60.2 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2020 |
---|---|---|
Average Training Hours (Female) | hours | 29.9 |
Average Training Hours (General Staff) | hours | 27 |
Average Training Hours (Male) | hours | 25.6 |
Average Training Hours (Middle Management) | hours | 39 |
Average Training Hours (Senior Management) | hours | 10.1 |
Average Training Hours per Employee | hours | 27.1 |
Total Training Hours | hours | 93708 |
Description of measures to review employment practices to avoid child and forced labour.
Standard Indicator | Unit |
---|---|
Number of Violation Cases Related to Child Labour or Forced Labour |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Local Suppliers | 15 | |
Number of Suppliers in Europe | 2 | |
Number of Suppliers in Mainland China | 803 | |
Number of Total Suppliers | 814 | |
Total Number of Suppliers in Korea | 1 | |
Total Number of Suppliers in Thailand | 1 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Number of Suppliers Participated in Sustainability Risk Assessment |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Standard Indicator | Unit |
---|---|
Percentage of Recalled Products for Safety and Health Reasons | % |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit |
---|---|
Customer Satisfaction |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit |
---|---|
Number of New Patent Applications | count |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Number of Customer Privacy Related Complaints |
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 |
---|---|
Number of Corruption Litigation |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Percentage of Employees Anti-corruption Policies have been Communicated to | % |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit |
---|---|
Number of People Participated in Ethical Standards and Anti-corruption Training | persons |