2023 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Air emissions of nitrogen oxides (NOx) | kg | 8124 | 34 | |
Air emissions of particulate matter (PM) | kg | 1105 | 34 | |
Air emissions of sulphur oxides (SOx) | kg | 1922 | 34 | |
NOX (Air emissions) | Kg | 4701 | 8124 | 103 |
NOX (Air emissions) Intensity | Unit per Million RMB | 1.23 | 2.46 | 103 |
PM (Air emissions) | Kg | 674 | 1105 | 103 |
PM (Air emissions) Intensity | Unit per Million RMB | 0.18 | 0.33 | 103 |
SO2 (Air emissions) | Kg | 1994 | 1922 | 103 |
SO2 (Air emissions) Intensity | Unit per Million RMB | 0.52 | 0.58 | 103 |
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 | 2022 | 2023 | Report Pages |
---|---|---|---|---|
GHG emissions (CO2e) | tonnes | 43411 | 34 | |
GHG emissions intensity | tonnes CO2e/million RMB | 13.12 | 34 | |
GHG removals from planted trees | tonnes CO2e | 203 | 67 | 103 |
GHG removals from planted trees Intensity | Unit per Million RMB | 0.05 | 0.02 | 103 |
Refrigerant consumption | Kg | 160 | 150 | 105 |
Refrigerant intensity (per million RMB) | Unit per Million RMB | 0.04 | 0.05 | 105 |
Scope 1 (Direct Emissions) GHG emissions | tonnes CO2e | 7020 | 7065 | 103 |
Scope 1 (Direct Emissions) GHG emissions Intensity | Unit per Million RMB | 1.83 | 2.14 | 103 |
Scope 2 (Energy Indirect Emissions) | % | -15 | 36 | |
Scope 2 (Energy Indirect Emissions) GHG emissions | tonnes CO2e | 42011 | 35650 | 103 |
Scope 2 (Energy Indirect Emissions) GHG emissions Intensity | Unit per Million RMB | 10.97 | 10.78 | 103 |
Scope 3 (Other Indirect Emissions) GHG emissions | tonnes CO2e | 445 | 763 | 103 |
Scope 3 (Other Indirect Emissions) GHG emissions Intensity | Unit per Million RMB | 0.12 | 0.23 | 103 |
Total GHG emissions (Scope 1, 2 & 3) | tonnes CO2e | 49273 | 43411 | 103 |
Total GHG emissions (Scope 1, 2 & 3) Intensity | Unit per Million RMB | 12.87 | 13.12 | 103 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Decline in hazardous solid waste | % | -21 | 42 | |
Reduction in discharge of hazardous wastewater (Group) | 20% | 39 | ||
Reduction in total solid waste discharged | % | -27 | 42 | |
Solid waste generated | tonnes | 2636 | 34 | |
Solid wastes (Hazardous waste) | tonnes | 192 | 152 | 103 |
Solid wastes (Hazardous waste) Intensity | Unit per Million RMB | 0.05 | 0.05 | 103 |
Wastewater (Hazardous waste) | m³ | 101744 | 81394 | 103 |
Wastewater (Hazardous waste) Intensity | Unit per Million RMB | 26.57 | 24.61 | 103 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Decline in non-hazardous solid waste | % | -61 | 42 | |
Domestic and Commercial Solid Wastes (Non-hazardous waste) | tonnes | 563 | 217 | 103 |
Domestic and Commercial Solid Wastes (Non-hazardous waste) Intensity | Unit per Million RMB | 0.15 | 0.07 | 103 |
Glass waste recycled | tonnes | 6 | 42 | |
Industrial Solid Waste (Non-hazardous waste) | tonnes | 2836 | 2267 | 103 |
Industrial Solid Waste (Non-hazardous waste) Intensity | Unit per Million RMB | 0.74 | 0.69 | 103 |
Metal waste recycled | tonnes | 27 | 42 | |
Paper consumption | Kg | 3608 | 4072 | 105 |
Paper intensity (per million RMB) | Unit per Million RMB | 0.9 | 1.2 | 105 |
Plastic waste recycled | tonnes | 133 | 42 | |
Solid waste discharged - Administrative Office | tonnes | 3 | 42 | |
Solid waste discharged - Aroma Raw Materials business | tonnes | 194 | 42 | |
Solid waste discharged - Condiments business | tonnes | 351 | 42 | |
Solid waste discharged - F&F and Food Ingredients business | tonnes | 279 | 42 | |
Solid waste discharged - Tobacco Raw Materials business | tonnes | 1809 | 42 | |
Total solid waste recycled | tonnes | 254 | 42 | |
Wastewater discharged | m3 | 819771 | 34 | |
Wastewater discharged - Administrative Office | m³ | 23583 | 39 | |
Wastewater discharged - Aroma Raw Materials business | m³ | 108425 | 39 | |
Wastewater discharged - Condiments business | m³ | 32920 | 39 | |
Wastewater discharged - F&F and Food Ingredients business | m³ | 561929 | 39 | |
Wastewater discharged - Tobacco Raw Materials business | m³ | 92913 | 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 | 2023 | Report Pages |
---|---|---|---|
Paper waste recycled | tonnes | 88 | 42 |
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 | 2022 | 2023 | FY2023 | Report Pages |
---|---|---|---|---|---|
Aroma Raw Materials business energy consumption by diesel | % | 2.3 | 47 | ||
Aroma Raw Materials business energy consumption by gasoline | % | 2.1 | 47 | ||
Aroma Raw Materials business energy consumption by natural gas | % | 95.6 | 47 | ||
Biomass consumption | Tonnes | 735 | 105 | ||
Biomass intensity (per million RMB) | Unit per Million RMB | 0.2 | 105 | ||
Condiments business energy consumption by diesel | % | 0.3 | 47 | ||
Condiments business energy consumption by gasoline | % | 1.6 | 47 | ||
Condiments business energy consumption by natural gas | % | 98.1 | 47 | ||
Diesel consumption | L | 183565 | 167965 | 105 | |
Diesel intensity (per million RMB) | Unit per Million RMB | 47.9 | 50.8 | 105 | |
Electricity consumption | kWh'000 | 68901 | 58391 | 105 | |
Electricity consumption of the Group | MWh | 58391 | 44 | ||
Electricity intensity (per million RMB) | Unit per Million RMB | 18 | 17.7 | 105 | |
F&F and Food Ingredients business energy consumption by diesel | % | 12.3 | 47 | ||
F&F and Food Ingredients business energy consumption by gasoline | % | 6.1 | 47 | ||
F&F and Food Ingredients business energy consumption by natural gas | % | 81.6 | 47 | ||
Gasoline consumption | L | 8189 | 98501 | 105 | |
Gasoline intensity (per million RMB) | Unit per Million RMB | 23.3 | 29.8 | 105 | |
Natural gas consumption | m³ | 2777787 | 3597956 | 105 | |
Natural gas intensity (per million RMB) | Unit per Million RMB | 725.5 | 1087.7 | 105 | |
Share of total energy consumption by Aroma Raw Materials business | % | 22 | 47 | ||
Share of total energy consumption by Condiments business | % | 14 | 47 | ||
Share of total energy consumption by F&F and Food Ingredients business | % | 24 | 47 | ||
Share of total energy consumption by Tobacco Raw Materials business | % | 41 | 47 | ||
Steam consumption | m³ | 141003 | 396261 | 105 | |
Steam intensity (per million RMB) | Unit per Million RMB | 36.8 | 119.8 | 105 | |
Tobacco Raw Materials business energy consumption by diesel | % | 2.1 | 47 | ||
Tobacco Raw Materials business energy consumption by gasoline | % | 0.4 | 47 | ||
Tobacco Raw Materials business energy consumption by natural gas | % | 97.5 | 47 | ||
Total energy after conversion | kWh'000 | 104192 | 100121 | 105 | |
Total energy consumption of the Group (excluding electricity) | MWh | 41730 | 47 | ||
Total energy intensity after conversion (per million RMB) | Unit per Million RMB | 27.2 | 30.3 | 105 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Increase in recycling of wastewater - Aroma Raw Materials business | m³ | 2743 | 39 | |
Increase in total volume of wastewater discharged (Group) | 25% | 39 | ||
Wastewater (Non-hazardous waste) | m³ | 556649 | 738376 | 103 |
Wastewater (Non-hazardous waste) Intensity | Unit per Million RMB | 145.38 | 223.22 | 103 |
Water consumption | m³ | 1015470 | 1830543 | 105 |
Water intensity (per million RMB) | Unit per Million RMB | 265.2 | 553.4 | 105 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Packaging materials - Metal consumption | Tonnes | 109 | 250 | 105 |
Packaging materials - Metal intensity (per million RMB) | Unit per Million RMB | 0.03 | 0.08 | 105 |
Packaging materials - Others consumption | Tonnes | 3977 | 3417 | 105 |
Packaging materials - Others intensity (per million RMB) | Unit per Million RMB | 1 | 1 | 105 |
Packaging materials - Paper consumption | Tonnes | 2507 | 5522 | 105 |
Packaging materials - Paper intensity (per million RMB) | Unit per Million RMB | 0.7 | 1.7 | 105 |
Packaging materials - Plastic consumption | Tonnes | 1824 | 2120 | 105 |
Packaging materials - Plastic intensity (per million RMB) | Unit per Million RMB | 0.5 | 0.6 | 105 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of employees in Africa | persons | 21 | 108 |
Number of employees in Beijing | persons | 4 | 108 |
Number of employees in Fujian | persons | 107 | 108 |
Number of employees in Germany | persons | 8 | 108 |
Number of employees in Guangdong | persons | 1544 | 108 |
Number of employees in Hebei | persons | 2 | 108 |
Number of employees in Hong Kong | persons | 27 | 108 |
Number of employees in Hunan | persons | 153 | 108 |
Number of employees in Indonesia | persons | 174 | 108 |
Number of employees in Jiangsu | persons | 158 | 108 |
Number of employees in Jiangxi | persons | 998 | 108 |
Number of employees in Liaoning | persons | 6 | 108 |
Number of employees in Others | persons | 3 | 108 |
Number of employees in Shandong | persons | 205 | 108 |
Number of employees in Shanghai | persons | 529 | 108 |
Number of employees in Singapore | persons | 13 | 108 |
Number of employees in Tianjin | persons | 1 | 108 |
Number of employees in Xizang | persons | 1 | 108 |
Number of employees in Yunan | persons | 7 | 108 |
Number of employees in the Group | 3995 | 112 | |
Number of employees, Female, Aged 30 or below | persons | 205 | 107 |
Number of employees, Female, Aged 51 or above | persons | 143 | 107 |
Number of employees, Female, Aged between 31 and 40 | persons | 655 | 107 |
Number of employees, Female, Aged between 41 and 50 | persons | 489 | 107 |
Number of employees, Female, Total | persons | 1492 | 107 |
Number of employees, Full time | persons | 3995 | 107 |
Number of employees, General staff | persons | 3613 | 107 |
Number of employees, Male, Aged 30 or below | persons | 341 | 107 |
Number of employees, Male, Aged 51 or above | persons | 565 | 107 |
Number of employees, Male, Aged between 31 and 40 | persons | 905 | 107 |
Number of employees, Male, Aged between 41 and 50 | persons | 692 | 107 |
Number of employees, Male, Total | persons | 2503 | 107 |
Number of employees, Middle-level managers | persons | 182 | 107 |
Number of employees, Senior executives | persons | 17 | 107 |
Number of employees, Senior managers | persons | 183 | 107 |
Number of employees, Total | persons | 3995 | 107 |
Number of employees, Total, Aged 30 or below | persons | 546 | 107 |
Number of employees, Total, Aged 51 or above | persons | 708 | 107 |
Number of employees, Total, Aged between 31 and 40 | persons | 1560 | 107 |
Number of employees, Total, Aged between 41 and 50 | persons | 1181 | 107 |
Number of new female employees aged 30 or below | employees | 89 | 109 |
Number of new female employees aged 51 or above | employees | 31 | 109 |
Number of new female employees aged between 31 and 40 | employees | 137 | 109 |
Number of new female employees aged between 41 and 50 | employees | 84 | 109 |
Number of new male employees aged 30 or below | employees | 118 | 109 |
Number of new male employees aged 51 or above | employees | 55 | 109 |
Number of new male employees aged between 31 and 40 | employees | 157 | 109 |
Number of new male employees aged between 41 and 50 | employees | 84 | 109 |
Total number of employees (all locations) | persons | 3995 | 108 |
Total number of new employees | employees | 755 | 109 |
Total number of new employees aged 30 or below | employees | 207 | 109 |
Total number of new employees aged 51 or above | employees | 86 | 109 |
Total number of new employees aged between 31 and 40 | employees | 294 | 109 |
Total number of new employees aged between 41 and 50 | employees | 168 | 109 |
Total number of new female employees | employees | 341 | 109 |
Total number of new male employees | employees | 414 | 109 |
Total workforce as of 31 December 2023 | 3995 | 10 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Employee turnover rate, Africa | 15% | 110 | |
Employee turnover rate, Beijing | 25% | 110 | |
Employee turnover rate, Female, Aged 30 or below | 34% | 110 | |
Employee turnover rate, Female, Aged 51 or above | 41% | 110 | |
Employee turnover rate, Female, Aged between 31 and 40 | 18% | 110 | |
Employee turnover rate, Female, Aged between 41 and 50 | 14% | 110 | |
Employee turnover rate, Female, Total | 21% | 110 | |
Employee turnover rate, Fujian | 11% | 110 | |
Employee turnover rate, Guangdong | 15% | 110 | |
Employee turnover rate, Hong Kong | 11% | 110 | |
Employee turnover rate, Hunan | 27% | 110 | |
Employee turnover rate, Indonesia | 47% | 110 | |
Employee turnover rate, Jiangsu | 15% | 110 | |
Employee turnover rate, Jiangxi | 34% | 110 | |
Employee turnover rate, Liaoning | 50% | 110 | |
Employee turnover rate, Male, Aged 30 or below | 49% | 110 | |
Employee turnover rate, Male, Aged 51 or above | 14% | 110 | |
Employee turnover rate, Male, Aged between 31 and 40 | 24% | 110 | |
Employee turnover rate, Male, Aged between 41 and 50 | 16% | 110 | |
Employee turnover rate, Male, Total | 23% | 110 | |
Employee turnover rate, Shandong | 18% | 110 | |
Employee turnover rate, Shanghai | 15% | 110 | |
Employee turnover rate, Singapore | 62% | 110 | |
Employee turnover rate, Xizang | 400% | 110 | |
Employee turnover rate, Yunan | 23% | 110 | |
Employee turnover, Africa | Number of employees | 4 | 110 |
Employee turnover, Beijing | Number of employees | 1 | 110 |
Employee turnover, Fujian | Number of employees | 12 | 110 |
Employee turnover, Guangdong | Number of employees | 237 | 110 |
Employee turnover, Hong Kong | Number of employees | 3 | 110 |
Employee turnover, Hunan | Number of employees | 42 | 110 |
Employee turnover, Indonesia | Number of employees | 82 | 110 |
Employee turnover, Jiangsu | Number of employees | 24 | 110 |
Employee turnover, Jiangxi | Number of employees | 343 | 110 |
Employee turnover, Liaoning | Number of employees | 3 | 110 |
Employee turnover, Shandong | Number of employees | 36 | 110 |
Employee turnover, Shanghai | Number of employees | 78 | 110 |
Employee turnover, Singapore | Number of employees | 8 | 110 |
Employee turnover, Xizang | Number of employees | 4 | 110 |
Employee turnover, Yunan | Number of employees | 8 | 110 |
Total employee turnover rate, Aged 30 or below | 43% | 110 | |
Total employee turnover rate, Aged 51 or above | 19% | 110 | |
Total employee turnover rate, Aged between 31 and 40 | 21% | 110 | |
Total employee turnover rate, Aged between 41 and 50 | 15% | 110 | |
Total employee turnover rate, Total | 22% | 110 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Number of work-related injuries | 14 | 12 | 4 | 111 | |
Rate of injuries (per hundred workers) | 0.39 | 0.31 | 0.1 | 111 |
Lost days due to work injury.
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Lost days due to work injury | days | 259 | 181 | 333 | 111 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of employees trained (General staff) | 2898 | 112 | |
Number of employees trained (Middle-level managers) | 176 | 112 | |
Number of employees trained (Senior executives) | 27 | 112 | |
Number of employees trained (Senior managers) | 42 | 112 | |
Number of female employees trained (General staff) | 974 | 112 | |
Number of female employees trained (Middle-level managers) | 43 | 112 | |
Number of female employees trained (Senior executives) | 7 | 112 | |
Number of female employees trained (Senior managers) | 14 | 112 | |
Number of male employees trained (General staff) | 1924 | 112 | |
Number of male employees trained (Middle-level managers) | 133 | 112 | |
Number of male employees trained (Senior executives) | 20 | 112 | |
Number of male employees trained (Senior managers) | 28 | 112 | |
Percentage of employees trained (General staff) | % | 92.2 | 112 |
Percentage of employees trained (Middle-level managers) | % | 5.6 | 112 |
Percentage of employees trained (Senior executives) | % | 0.9 | 112 |
Percentage of employees trained (Senior managers) | % | 1.3 | 112 |
Percentage of employees trained (Total) | % | 78.7 | 112 |
Percentage of employees trained in the Group | % | 78.7 | 112 |
Percentage of female employees trained (General staff) | % | 31 | 112 |
Percentage of female employees trained (Middle-level managers) | % | 1.4 | 112 |
Percentage of female employees trained (Senior executives) | % | 0.2 | 112 |
Percentage of female employees trained (Senior managers) | % | 0.4 | 112 |
Percentage of female employees trained (Total) | % | 33 | 112 |
Percentage of male employees trained (General staff) | % | 61.2 | 112 |
Percentage of male employees trained (Middle-level managers) | % | 4.2 | 112 |
Percentage of male employees trained (Senior executives) | % | 0.6 | 112 |
Percentage of male employees trained (Senior managers) | % | 0.9 | 112 |
Percentage of male employees trained (Total) | % | 67 | 112 |
Total number of employees trained | 3143 | 112 | |
Total number of female employees trained | 1038 | 112 | |
Total number of male employees trained | 2105 | 112 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Average training hours for Female General staff | hours | 9.3 | 113 |
Average training hours for Female Middle-level managers | hours | 9.4 | 113 |
Average training hours for Female Senior executives | hours | 9.1 | 113 |
Average training hours for Female Senior managers | hours | 9.1 | 113 |
Average training hours for Female Total | hours | 10 | 113 |
Average training hours for Male General staff | hours | 11.4 | 113 |
Average training hours for Male Middle-level managers | hours | 7.1 | 113 |
Average training hours for Male Senior executives | hours | 8.5 | 113 |
Average training hours for Male Senior managers | hours | 10.8 | 113 |
Average training hours for Male Total | hours | 10.6 | 113 |
Average training hours for Total | hours | 10 | 113 |
Average training hours for Total General staff | hours | 10.6 | 113 |
Average training hours for Total Middle-level managers | hours | 7.7 | 113 |
Average training hours for Total Senior executives | hours | 7.9 | 113 |
Average training hours for Total Senior managers | hours | 1.3 | 113 |
Training hours completed by Female General staff | hours | 12952 | 113 |
Training hours completed by Female Middle-level managers | hours | 468 | 113 |
Training hours completed by Female Senior executives | hours | 41 | 113 |
Training hours completed by Female Senior managers | hours | 92 | 113 |
Training hours completed by Female Total | hours | 13553 | 113 |
Training hours completed by Male General staff | hours | 25338 | 113 |
Training hours completed by Male Middle-level managers | hours | 935 | 113 |
Training hours completed by Male Senior executives | hours | 94 | 113 |
Training hours completed by Male Senior managers | hours | 141 | 113 |
Training hours completed by Male Total | hours | 26508 | 113 |
Training hours completed by Total | hours | 40061 | 113 |
Training hours completed by Total General staff | hours | 38290 | 113 |
Training hours completed by Total Middle-level managers | hours | 1403 | 113 |
Training hours completed by Total Senior executives | hours | 135 | 113 |
Training hours completed by Total Senior managers | hours | 233 | 113 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of suppliers Overseas | 34 | 113 | |
Number of suppliers in Central China | 169 | 113 | |
Number of suppliers in Eastern China | 925 | 113 | |
Number of suppliers in Hong Kong | suppliers | 9 | 73, 113 |
Number of suppliers in Northeast China | 26 | 113 | |
Number of suppliers in Northern China | 84 | 113 | |
Number of suppliers in Northwest China | 14 | 113 | |
Number of suppliers in Southern China | 530 | 113 | |
Number of suppliers in Southwest China | 64 | 113 | |
Total number of suppliers | suppliers | 1855 | 73, 113 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Duration of anti-corruption-related training | hours | 23 | 90 |
Number of general employees attending 3-hour physical training on anti-fraud, anti-bribery and whistle-blowing (Guangdong Jinye) | staff | 71 | 90 |
Number of general staff receiving anti-corruption-related training | staff | 146 | 90 |
Number of management staff attending 3-hour physical training on anti-fraud, anti-bribery and whistle-blowing (Guangdong Jinye) | staff | 9 | 90 |
Number of management staff receiving anti-corruption-related training | staff | 23 | 90 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 674 | 1105 |
NOâ‚“ Emission Intensity (By Revenue) | kg/Million RMB | 1.23 | 2.46 |
NOâ‚“ Emissions | kg | 4701 | 8124 |
PM Emission Intensity (By Revenue) | kg/Million RMB | 0.18 | 0.33 |
SOâ‚“ Emission Intensity (By Revenue) | kg/Million RMB | 0.52 | 0.58 |
SOâ‚“ Emissions | kg | 1994 | 1922 |
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 | 2022 | 2023 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 7020 | 7065 |
GHG Removals from Newly Planted Trees | tonnes CO2e | 203 | 67 |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 42011 | 35650 |
Scope 1 GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 1.83 | 2.14 |
Scope 2 GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 10.97 | 10.78 |
Scope 3 GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 0.12 | 0.23 |
Total GHG Emissions | tonnes CO2e | 49273 | 43411 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2e/million RMB | 12.87 | 13.12 |
Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 445 | 763 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Hazardous Waste (Solid Waste) | tonnes | 192 | 152 |
Total Hazardous Waste Intensity (By Revenue) | Unit per Million RMB | 0.05 | 0.05 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Glass Waste | tonnes | 6 | |
Non-Hazardous Waste (Domestic Waste) | tonnes | 563 | 217 |
Non-Hazardous Waste (Office Waste) | tonnes | 3 | |
Non-Hazardous Waste Disposed | tonnes | 2636 | |
Non-Hazardous Waste Recycled | tonnes | 254 | |
Paper Waste | tonnes | 3.608 | 4.072 |
Plastic Waste | tonnes | 133 | |
Total Non-Hazardous Waste Intensity (By Area) | Kg/m² floor area | 1 | |
Total Non-Hazardous Waste Intensity (By Revenue) | Unit per Million RMB | 0.15 | 0.07 |
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 | 2022 | 2023 | FY2023 |
---|---|---|---|---|
Biomass Energy | Tonnes | 735 | ||
Diesel Fuel Consumption | L | 183565 | 167965 | |
Energy Consumption Intensity (By Revenue) | Unit per Million RMB | 27.2 | 30.3 | |
Gasoline Consumption | L | 8189 | 98501 | |
Natural Gas Consumption | m³ | 2777787 | 3597956 | |
Purchased Electricity | kWh | 68901000 | 58391000 | 58391 |
Purchased Steam | m³ | 141003 | 396261 | |
Total Energy Consumption | kWh | 104192000 | 100121000 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Recycled Water Usage | m³ | 2743 | |
Total Wastewater Discharge | m³ | 556649 | 738376 |
Wastewater Discharge Intensity | Unit per Million RMB | 145.38 | 223.22 |
Water Consumption | m³ | 1015470 | 1830543 |
Water Consumption Intensity (By Revenue) | Unit per Million RMB | 265.2 | 553.4 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Packaging Material Consumption (Metal) | Tonnes | 109 | 250 |
Packaging Material Consumption (Paper) | Tonnes | 2507 | 5522 |
Packaging Material Consumption (Plastic) | Tonnes | 1824 | 2120 |
Packaging Materials Consumed | Tonnes | 8417 | 11309 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Employees Aged 30-50 | persons | 2741 |
Number of Employees Aged 30-50 (Female) | persons | 1144 |
Number of Employees Aged 30-50 (Male) | persons | 1597 |
Number of Employees Aged Above 50 | persons | 708 |
Number of Employees Aged Above 50 (Female) | persons | 143 |
Number of Employees Aged Above 50 (Male) | persons | 565 |
Number of Employees Aged Below 30 | persons | 546 |
Number of Employees Aged Below 30 (Female) | persons | 205 |
Number of Employees Aged Below 30 (Male) | persons | 341 |
Number of Employees in Germany | persons | 8 |
Number of Employees in Hong Kong | persons | 27 |
Number of Employees in Indonesia | persons | 174 |
Number of Employees in Singapore | persons | 13 |
Number of Female Employees | persons | 1492 |
Number of Full-time Employees | persons | 3995 |
Number of General Employees | persons | 3613 |
Number of Male Employees | persons | 2503 |
Number of Middle Management Employees | persons | 182 |
Number of New Employees | employees | 755 |
Number of New Employees (Above 50) | employees | 86 |
Number of New Employees (Aged 30-50) | employees | 462 |
Number of New Employees (Aged Below 30) | employees | 207 |
Number of New Employees (Female) | employees | 341 |
Number of New Employees (Male) | employees | 414 |
Number of Senior Management Employees | persons | 17 |
Number of Total Employees | persons | 3995 |
Percentage of Employees Aged 30-50 | percent | 68.62 |
Percentage of Employees Aged Above 50 | percent | 17.72 |
Percentage of Employees Aged Below 30 | percent | 13.67 |
Percentage of Female Employees | percent | 37.33 |
Percentage of Full-time Employees | percent | 100 |
Percentage of Male Employees | percent | 62.67 |
Percentage of New Employees | percent | 18.91 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 21 |
Turnover Rate of Employees Aged Above 50 | % | 19 |
Turnover Rate of Employees Aged Below 30 | % | 43 |
Turnover Rate of Employees in Hong Kong | % | 11 |
Turnover Rate of Employees in Indonesia | % | 47 |
Turnover Rate of Employees in Singapore | % | 62 |
Turnover Rate of Female Employees | % | 21 |
Turnover Rate of Male Employees | % | 23 |
Turnover Rate of Total Employees | % | 22 |
Lost days due to work injury.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 259 | 181 | 333 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 |
---|---|---|
Percentage of Employees Trained | % | 78.7 |
Percentage of Trained Female Employees | % | 33 |
Percentage of Trained General Employees | % | 92.2 |
Percentage of Trained Male Employees | % | 67 |
Percentage of Trained Middle Management | % | 5.6 |
Percentage of Trained Senior Management | % | 2.2 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 |
---|---|---|
Average Training Hours (Female) | hours | 10 |
Average Training Hours (General Staff) | hours | 10.6 |
Average Training Hours (Male) | hours | 10.6 |
Average Training Hours (Middle Management) | hours | 7.7 |
Average Training Hours (Senior Management) | hours | 7.9 |
Average Training Hours per Employee | hours | 10 |
Total Training Hours | hours | 40061 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Suppliers in Central China | suppliers | 169 |
Number of Suppliers in East China | suppliers | 925 |
Number of Suppliers in Hong Kong | suppliers | 9 |
Number of Suppliers in Mainland China | suppliers | 1812 |
Number of Suppliers in North China | suppliers | 84 |
Number of Suppliers in Northeast China | suppliers | 26 |
Number of Suppliers in Northwest China | suppliers | 14 |
Number of Suppliers in Overseas | suppliers | 34 |
Number of Suppliers in South China | suppliers | 530 |
Number of Suppliers in Southwest China | suppliers | 64 |
Number of Total Suppliers | suppliers | 1855 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit |
---|---|
Number of New Patent Applications |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Directors and Management Attendance for Anti-corruption Training | staff | 23 |
Number of General Employees Attendance for Anti-corruption Training | staff | 146 |
Number of People Participated in Ethical Standards and Anti-corruption Training | staff | 169 |
Total Hours of Anti-corruption Training | hours | 23 |