2024 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Nitrogen oxides, sulphur oxides and particulate matters generated by vehicle exhaust | kg | 811.36 | 952.47 | 10 |
| Particulate matters generated by vehicle exhaust | kg | 46.62 | 58.55 | 10 |
| Sulphur oxides generated by vehicle exhaust | kg | 0.78 | 0.85 | 10 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Direct GHG emissions (Scope 1) | tCO2e | 4724 | 4281 | 10 |
| Energy indirect GHG emissions (Scope 2) | tCO2e | 28583 | 33694 | 10 |
| GHG emissions intensity | tCO2e/million RMB revenue | 19.76 | 21.06 | 10 |
| GHG intensity | tCO2e/million RMB revenue | 19.76 | 21.06 | 9 |
| Total GHG emissions (Scope 1 & 2) | tCO2e | 33307 | 37975 | 10 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Biscuit crumbs and defected products (non-hazardous waste) | tonnes | 841.68 | 214.4 | 12 |
| Flour bag (non-hazardous waste) | tonnes | 157.07 | 12 | |
| General garbage (non-hazardous waste) | tonnes | 294.96 | 65.33 | 12 |
| Glycerin barrel (non-hazardous waste) | tonnes | 3.46 | 12 | |
| Non-hazardous waste intensity | tonnes/million RMB revenue | 0.76 | 0.45 | 12 |
| Non-hazardous wastes intensity | tonnes/million RMB revenue | 0.76 | 0.45 | 9 |
| Paper (non-hazardous waste) | tonnes | 45.71 | 328.82 | 12 |
| Plastic (non-hazardous waste) | tonnes | 101.54 | 10.3 | 12 |
| Sugar bag (non-hazardous waste) | tonnes | 23.51 | 12 | |
| Total non-hazardous wastes | tonnes | 1283.9 | 802.89 | 12 |
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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Biomass fuel consumption | MWh | 34032 | 13 | |
| Diesel consumption | MWh | 555.92 | 380.37 | 13 |
| Direct energy consumption | MWh | 22702.9 | 54157.48 | 13 |
| Energy consumption intensity | MWh/million RMB revenue | 43.19 | 64.86 | 9, 13 |
| Indirect energy consumption | MWh | 50119.36 | 62791.25 | 13 |
| Liquefied petroleum gas consumption | MWh | 81.09 | 99.04 | 13 |
| Natural gas consumption | MWh | 21669.21 | 19465.84 | 13 |
| Petrol consumption | MWh | 396.68 | 180.23 | 13 |
| Purchased electricity | MWh | 50119.36 | 62791.25 | 13 |
| Total energy consumption | MWh | 72822.25 | 116948.73 | 13 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Total water consumption | m3 | 529431 | 666847 | 13 |
| Water consumption intensity | m3/million RMB revenue | 314 | 370 | 9, 13 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Employees aged 30 years old or below | No. (25%), No. (41%) | 1401 | 820 | 16 |
| Employees aged 31–40 years old | No. (30%) | 1028 | 980 | 16 |
| Employees aged 41–50 years old | No. (26%), No. (30%) | 907 | 981 | 16 |
| Employees aged 51 years old or above | No. (15%), No. (3%) | 106 | 481 | 16 |
| Employees in Anhui | No. (%) | 3 | 16 | |
| Employees in Guangdong | No. (0.61%) | 20 | 16 | |
| Employees in Guangxi | No. (0.37%) | 12 | 16 | |
| Employees in Guangzhou, Guangdong | No. (7%), No. (8%) | 282 | 243 | 16 |
| Employees in Heilongjiang | No. (0.03%) | 1 | 16 | |
| Employees in Henan | No. (12%), No. (18%) | 605 | 400 | 16 |
| Employees in Hunan | No. (15%), No. (16%) | 560 | 498 | 16 |
| Employees in Kaiping, Guangdong | No. (58%), No. (62%) | 1992 | 2021 | 16 |
| Employees in Others | No. (1%) | 30 | 16 | |
| Employees in Sichuan | No. (0.18%) | 6 | 16 | |
| Employees in Taishan, Guangdong | No. (1%) | 31 | 16 | |
| Female employees | No. (58%), No. (59%) | 2026 | 1896 | 16 |
| Full-time employees | No. (83%), No. (91%) | 2848 | 2966 | 16 |
| Male employees | No. (41%), No. (42%) | 1416 | 1366 | 16 |
| Part-time employees | No. (17%), No. (9%) | 594 | 296 | 16 |
| Total number of employees | No. | 3442 | 3262 | 16 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Employee turnover by age group: 30 years old or below | No. (%) | 353 | 425 | 17 |
| Employee turnover by age group: 31–40 years old | No. (%) | 215 | 291 | 17 |
| Employee turnover by age group: 41–50 years old | No. (%) | 193 | 586 | 17 |
| Employee turnover by age group: 51 years old or above | No. (%) | 9 | 297 | 17 |
| Employee turnover by gender: Female | No. (%) | 496 | 696 | 17 |
| Employee turnover by gender: Male | No. (%) | 284 | 17 | |
| Employee turnover by geographical region: Guangdong | No. (%) | 3 | 17 | |
| Employee turnover by geographical region: Guangzhou, Guangdong | No. (%) | 37 | 137 | 17 |
| Employee turnover by geographical region: Henan | No. (%) | 389 | 692 | 17 |
| Employee turnover by geographical region: Hunan | No. (%) | 101 | 103 | 17 |
| Employee turnover by geographical region: Kaiping, Guangdong | No. (%) | 253 | 660 | 17 |
| Employee turnover by geographical region: Others | No. (%) | 4 | 17 | |
| Total employee turnover and rate | No. | 780 | 696 | 17 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average number of training hours for employees (hours) | hours | 9 | 18.15 | 20 |
| Average number of training hours for employees by employee category: Manager | hours | 9 | 57.75 | 20 |
| Average number of training hours for employees by employee category: Office employee | hours | 9 | 62.66 | 20 |
| Average number of training hours for employees by employee category: Ordinary employee | hours | 9 | 11.49 | 20 |
| Average number of training hours for employees by gender: Female | hours | 9 | 20.04 | 20 |
| Average number of training hours for employees by gender: Male | hours | 9 | 15.54 | 20 |
| Total number of training hours employees received (hours) | hours | 30978 | 59221 | 20 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 46.62 | 58.55 |
| SOₓ Emissions | kg | 0.78 | 0.85 |
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 | 2023 | 2024 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 4724 | 4281 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 28583 | 33694 |
| Total GHG Emissions | tCO2e | 33307 | 37975 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/million RMB revenue | 19.76 | 21.06 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Paper Waste | tonnes | 45.71 | 328.82 |
| Plastic Waste | tonnes | 101.54 | 10.3 |
| Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/million RMB revenue | 0.76 | 0.45 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Reduction in GHG Intensity Percentage by 2030 Compared to 2024 | % | 1–3 |
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 |
|---|---|
| Non-Hazardous Waste Intensity Reduction Compared to Last Year (By Revenue) | tonnes/million RMB revenue |
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 | 2023 | 2024 |
|---|---|---|---|
| Biomass Energy | MWh | 34032 | |
| Diesel Fuel Consumption | MWh | 555.92 | 380.37 |
| Energy Consumption Intensity (By Revenue) | MWh/million RMB revenue | 43.19 | 64.86 |
| Gasoline Consumption | MWh | 396.68 | 180.23 |
| LPG Consumption | MWh | 81.09 | 99.04 |
| Natural Gas Consumption | MWh | 21669.21 | 19465.84 |
| Purchased Electricity | MWh | 50119.36 | 62791.25 |
| Total Direct Energy Consumption | MWh | 22702.9 | 54157.48 |
| Total Energy Consumption | MWh | 72822.25 | 116948.73 |
| Total Indirect Energy Consumption | MWh | 50119.36 | 62791.25 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Water Consumption | m3 | 529431 | 666847 |
| Water Consumption Intensity (By Revenue) | m3/million RMB revenue | 314 | 370 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 1–3 |
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 | 2030 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 1–3 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Employees Aged 30-50 | No. | 1935 | 1961 |
| Number of Employees Aged Above 50 | No. | 106 | 481 |
| Number of Employees Aged Below 30 | No. | 1401 | 820 |
| Number of Female Employees | No. | 2026 | 1896 |
| Number of Full-time Employees | No. | 2848 | 2966 |
| Number of Male Employees | No. | 1416 | 1366 |
| Number of Part-time Employees | No. | 594 | 296 |
| Number of Total Employees | No. | 3442 | 3262 |
| Percentage of Employees Aged 30-50 | % | 56 | 60 |
| Percentage of Employees Aged Above 50 | % | 3 | 15 |
| Percentage of Employees Aged Below 30 | % | 41 | 25 |
| Percentage of Female Employees | % | 59 | 58 |
| Percentage of Full-time Employees | % | 83 | 91 |
| Percentage of Male Employees | % | 41 | 42 |
| Percentage of Part-time Employees | % | 17 | 9 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | No. (%) | 408 | 877 |
| Turnover Rate of Employees Aged Above 50 | No. (%) | 9 | 297 |
| Turnover Rate of Employees Aged Below 30 | No. (%) | 353 | 425 |
| Turnover Rate of Female Employees | No. (%) | 496 | 696 |
| Turnover Rate of Male Employees | No. (%) | 284 | |
| Turnover Rate of Total Employees | No. | 780 | 696 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 9 | 20.04 |
| Average Training Hours (General Staff) | hours | 9 | 11.49 |
| Average Training Hours (Male) | hours | 9 | 15.54 |
| Average Training Hours (Senior Management) | hours | 9 | 57.75 |
| Average Training Hours per Employee | hours | 9 | 18.15 |
| Total Training Hours | hours | 30978 | 59221 |