Environmental, Social and Governance Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Nitrogen Oxides emissions | kg | 44889 | 47 | ||
| Nitrogen oxides (NOx) | kg | 4601 | 65208 | 44889 | 73 |
| Particulate matter (PM) | kg | 158 | 1666 | 935 | 73 |
| Particulate matter emissions | kg | 935 | 47 | ||
| Sulfur Oxides emissions | kg | 6895 | 47 | ||
| Sulphur oxides (SOx) | kg | 1630 | 2380 | 6895 | 73 |
| Total effluents intensity | t/million revenue | 100.49 | 130 | 235.34 | 73 |
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 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Carbon dioxide emissions reduced by biogas power generation | tons | 22149 | 12 | ||
| Carbon dioxide emissions reduced by wind power generation | tons | 1201492 | 12 | ||
| Direct (Scope 1) GHG emissions | tCO2e | 8706 | 8999 | 4040 | 73 |
| Emissions intensity (Scope 1 + Scope 2) | tCO₂e/million revenue | 7.24 | 53 | ||
| Indirect (Scope 2) GHG emissions | tCO2e | 60068 | 59162 | 62854 | 73 |
| Scope 1 emissions | tCO₂e | 4040 | 53 | ||
| Scope 2 emissions | tCO₂e | 62854 | 53 | ||
| Scope 3 emissions (Business travel) | tCO2e, tCO₂e | 131 | 53, 73 | ||
| Total GHG emissions (Scope 1 and Scope 2) | tCO2e | 68875 | 68161 | 66894 | 73 |
| Total GHG emissions intensity (Scope 1 and Scope 2) | tCO2e/million revenue | 7.34 | 7.33 | 7.24 | 73 |
| Total emissions (Scope 1 + Scope 2) | tCO₂e | 66894 | 53 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste | kg | 9142 | 5863 | 12127 | 73 |
| Hazardous waste generation | kg | 12127 | 47 | ||
| Hazardous waste intensity | kg/million revenue | 0.98 | 0.63 | 1.31 | 47, 73 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste | ton | 95612 | 159476 | 165013 | 73 |
| Non-hazardous waste generation | ton | 165013 | 47 | ||
| Non-hazardous waste intensity | t/million revenue | 10.2 | 17 | 17.85 | 47, 73 |
| Wastewater discharge volume | ton | 2175704 | 47 |
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 | 2024 | Report Pages |
|---|---|---|---|
| End-of-life power batteries processed | MWh | 366 | 12 |
| Organic waste collected and processed | tons | 1400958 | 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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Comprehensive energy consumption intensity | kWh/million revenue | 14342.38 | 47 | ||
| Diesel | litre | 2475094 | 407473 | 5065543 | 74 |
| Diesel consumption | Litre | 248710 | 47 | ||
| Electricity | kWh | 105328316 | 103737634 | 117133578 | 73 |
| Electricity consumption | kWh | 117133578 | 47 | ||
| Electricity generated from biogas power generation and connected to the grid | MWh | 38579 | 12 | ||
| Gasoline | litre | 703942 | 732790 | 759613 | 73 |
| Gasoline consumption | Litre | 759613 | 47 | ||
| Liquefied petroleum gas (LPG) | kg | 210 | 123716 | 235340 | 74 |
| Liquefied petroleum gas consumption | kg | 235340 | 47 | ||
| Natural gas | m³ | 132350 | 2589477 | 301399 | 74 |
| Natural gas consumption | m³ | 301399 | 47 | ||
| Total energy consumption intensity | kWh/million revenue | 19545.38 | 15231 | 14342.38 | 74 |
| Wind power generated and connected to the grid | MWh | 1468817 | 12 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total intensity of water usage | t/million revenue | 187.25 | 184 | 251.82 | 74 |
| Total water usage | ton | 1755037 | 1710269 | 2328094 | 74 |
| Wastewater discharge intensity | t/million revenue | 235.34 | 47 | ||
| Water resource usage intensity | t/million revenue | 251.82 | 47 | ||
| Water resources consumption | ton | 2328094 | 47 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Standard coal saved by biogas power generation | tons | 3360 | 12 |
| Standard coal saved by wind power generation | tons | 180517 | 12 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Effluents | ton | 941867 | 1212384 | 2175704 | 73 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employees | person | 7279 | 7062 | 7254 | 74 |
| Employees aged 30 years old or below | person | 4290 | 4160 | 4291 | 74 |
| Employees aged 31-40 years old | person | 1562 | 1519 | 1507 | 74 |
| Employees aged 41-50 years old | person | 1020 | 983 | 1019 | 74 |
| Employees aged 50 years old or above | person | 407 | 400 | 437 | 74 |
| Employees with bachelor degree | person | 1335 | 1301 | 1430 | 74 |
| Employees with below college degree | person | 4224 | 3997 | 3641 | 74 |
| Employees with college degree | person | 1366 | 1425 | 1851 | 74 |
| Employees with master degree and above | person | 354 | 339 | 332 | 74 |
| Employees – Hong Kong, Macau and Taiwan regions of China | person | 10 | 15 | 14 | 75 |
| Employees – Mainland China | person | 7269 | 7045 | 7240 | 75 |
| Employees – Other regions | person | 2 | 75 | ||
| Female employees | person | 2924 | 2704 | 2823 | 74 |
| Front-line staff | person | 4912 | 4839 | 5319 | 74 |
| Full-time employees | person | 7279 | 7062 | 7254 | 74 |
| Male employees | person | 4355 | 4358 | 4431 | 74 |
| Management and specialised technical staff | person | 2367 | 2223 | 1935 | 74 |
| New employees recruited | person | 2038 | 1356 | 1366 | 74 |
| Proportion of management and technical personnel | 26.67% | 12 | |||
| Total number of employee | person | 28409 | 21428 | 75 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee turnover rate – 30 years old or below | % | 34.2 | 26 | 27.6 | 75 |
| Employee turnover rate – 31-40 years old | % | 17.7 | 6.3 | 5.9 | 75 |
| Employee turnover rate – 41-50 years old | % | 9.2 | 4.5 | 3.1 | 75 |
| Employee turnover rate – 50 years old or above | % | 6.1 | 5.3 | 3.4 | 75 |
| Employee turnover rate – Female | % | 25.9 | 17.3 | 19.5 | 75 |
| Employee turnover rate – Hong Kong, Macau and Taiwan regions of China | % | 20 | 23.5 | 7.1 | 75 |
| Employee turnover rate – Mainland China | % | 27.8 | 17.1 | 18.2 | 75 |
| Employee turnover rate – Male | % | 25.4 | 17.8 | 17.7 | 75 |
| Total employee turnover rate | % | 25.6 | 17.6 | 18.4 | 75 |
Lost days due to work injury.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Working days lost due to work-related injuries | days | 605 | 775 | 1174 | 75 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of trainees (Female) | 7675 | 61 | ||
| Number of trainees (Front-line staff) | 15128 | 61 | ||
| Number of trainees (Male) | 13753 | 61 | ||
| Number of trainees (Management and professional technical staff) | 6300 | 61 | ||
| Training performance – By employee category – Front-line staff | person | 18557 | 15128 | 76 |
| Training performance – By employee category – Management and specialised technical staff | person | 9852 | 6300 | 76 |
| Training performance – By gender – Female | person | 15323 | 7675 | 76 |
| Training performance – By gender – Male | person | 13086 | 13753 | 76 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours for female employees | hours | 3695 | 94777 | 76 | |
| Average training hours for front-line staff | hours | 3379 | 225984 | 76 | |
| Average training hours for male employees | hours | 2895 | 182088 | 76 | |
| Average training hours for management and specialised technical staff | hours | 3175 | 50881 | 76 | |
| Research and development investment | million RMB | 3293 | 12 | ||
| Total training hours | hours | 16488 | 6553 | 276865 | 75 |
| Total training hours for employees (Female) | hours | 94777 | 61 | ||
| Total training hours for employees (Front-line staff) | hours | 225984 | 61 | ||
| Total training hours for employees (Male) | hours | 182088 | 61 | ||
| Total training hours for employees (Management and professional technical staff) | hours | 50881 | 61 | ||
| Total training input | Yuan | 646608 | 2145025 | 2254820 | 75 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Suppliers | number of suppliers | 3641 | 2745 | 2833 | 76 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Business complaints | cases | 3967 | 5925 | 8876 | 76 |
| Complaint handling rate | % | 100 | 100 | 100 | 76 |
| Customer satisfaction index | points | 94.84 | 95.8 | 88.6 | 76 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| IPR infringement or being infringed | cases | 1 | 76 | ||
| New patents | number of patents | 29 | 17 | 18 | 76 |
| New patents obtained | 18 | 12 | |||
| Patents obtained | number of patents | 356 | 318 | 277 | 76 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Supplier Integrity Agreement Signing Rate | % | 100 | 100 | 100 | 76 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employees educated in anti-corruption | person | 7279 | 7062 | 7254 | 76 |
| Senior management educated in anti-corruption | person | 14 | 14 | 11 | 76 |
| Total hours of anti-corruption education | hours | 137 | 270 | 284 | 76 |
| Total hours of anti-corruption education for senior management | hours | 5 | 7 | 16 | 76 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Community Comprehensive Service Centre visitors | 29682 | 12 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee voluntary service participation | person-times | 1700 | 12 | ||
| Hours of volunteer activities | hours | 3444 | 1450 | 3811 | 76 |
| Public welfare expenditure | yuan | 2800000 | 6330014 | 2840000 | 76 |
| Voluntary service hours | hours | 3811 | 12 | ||
| Volunteer participation | person | 287 | 725 | 1700 | 76 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 158 | 1666 | 935 |
| NOₓ Emissions | kg | 4601 | 65208 | 44889 |
| SOₓ Emissions | kg | 1630 | 2380 | 6895 |
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 | 2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 8706 | 8999 | 4040 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 60068 | 59162 | 62854 |
| Scope 3 GHG Emissions (Business Travel) | tCO2e | 131 | ||
| Total GHG Emissions | tCO2e | 68875 | 68161 | 66894 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/million revenue | 7.34 | 7.33 | 7.24 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Hazardous Waste | kg | 9142 | 5863 | 12127 |
| Total Hazardous Waste Intensity (By Revenue) | kg/million revenue | 0.98 | 0.63 | 1.31 |
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 | 2024 |
|---|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | t/million revenue | 10.2 | 17 | 17.85 |
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 | 2024 |
|---|---|---|---|---|
| Biomass Energy | MWh | 38579 | ||
| Comprehensive Energy Consumption Intensity (By Revenue) | kWh/million revenue | 14342.38 | ||
| Diesel Fuel Consumption | litre | 2475094 | 407473 | 5065543 |
| Electricity Consumption | kWh | 105328316 | 103737634 | 117133578 |
| Energy Consumption Intensity (By Revenue) | kWh/million revenue | 19545.38 | 15231 | 14342.38 |
| Gasoline Consumption | litre | 703942 | 732790 | 759613 |
| LPG Consumption | kg | 210 | 123716 | 235340 |
| Natural Gas Consumption | m³ | 132350 | 2589477 | 301399 |
| Wind Energy | MWh | 1468817 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Water Withdrawal | ton | 1755037 | 1710269 | 2328094 |
| Wastewater Discharge Intensity | t/million revenue | 235.34 | ||
| Water Consumption Intensity (By Revenue) | t/million revenue | 187.25 | 184 | 251.82 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Energy Consumption Reduction Compared to Last Year | tons of standard coal | 183877 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Bachelor's Degree Employees | person | 1335 | 1301 | 1430 |
| Number of Below Junior College Employees | person | 4224 | 3997 | 3641 |
| Number of Employees Aged 30-50 | person | 2582 | 2502 | 2526 |
| Number of Employees Aged Above 50 | person | 407 | 400 | 437 |
| Number of Employees Aged Below 30 | person | 4290 | 4160 | 4291 |
| Number of Employees in Hong Kong | person | 10 | 15 | 14 |
| Number of Employees in Hong Kong and Mainland China | person | 7279 | 7060 | 7254 |
| Number of Employees in Mainland China | person | 7269 | 7045 | 7240 |
| Number of Female Employees | person | 2924 | 2704 | 2823 |
| Number of Full-time Employees | person | 7279 | 7062 | 7254 |
| Number of Male Employees | person | 4355 | 4358 | 4431 |
| Number of Master's Degree Employees | person | 354 | 339 | 332 |
| Number of New Employees | person | 2038 | 1356 | 1366 |
| Number of Total Employees | person | 7279 | 7062 | 7254 |
| Percentage of Bachelor's Degree Employees | % | 18.34 | 18.43 | 19.72 |
| Percentage of Below Junior College Employees | % | 58.01 | 56.62 | 50.23 |
| Percentage of Employees Aged 30-50 | % | 35.47 | 35.44 | 34.83 |
| Percentage of Employees Aged Above 50 | % | 5.59 | 5.67 | 6.03 |
| Percentage of Employees Aged Below 30 | % | 58.92 | 58.92 | 59.17 |
| Percentage of Female Employees | % | 40.18 | 38.33 | 38.91 |
| Percentage of Full-time Employees | % | 100 | 100 | 100 |
| Percentage of Male Employees | % | 59.82 | 61.74 | 61.09 |
| Percentage of Master's Degree Employees | % | 4.86 | 4.8 | 4.58 |
| Percentage of New Employees | % | 27.99 | 19.21 | 18.84 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 26.9 | 10.8 | 9 |
| Turnover Rate of Employees Aged Above 50 | % | 6.1 | 5.3 | 3.4 |
| Turnover Rate of Employees Aged Below 30 | % | 34.2 | 26 | 27.6 |
| Turnover Rate of Employees in Hong Kong | % | 20 | 23.5 | 7.1 |
| Turnover Rate of Employees in Mainland China | % | 27.8 | 17.1 | 18.2 |
| Turnover Rate of Female Employees | % | 25.9 | 17.3 | 19.5 |
| Turnover Rate of Male Employees | % | 25.4 | 17.8 | 17.7 |
| Turnover Rate of Total Employees | % | 25.6 | 17.6 | 18.4 |
Lost days due to work injury.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 605 | 775 | 1174 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Percentage of Trained Female Employees | person | 15323 | 7675 |
| Percentage of Trained Male Employees | person | 13086 | 13753 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | 3695 | 94777 | |
| Average Training Hours (Male) | hours | 2895 | 182088 | |
| Total Training Hours | hours | 16488 | 6553 | 276865 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Total Suppliers | number of suppliers | 3641 | 2745 | 2833 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Complaints Handling Rate | % | 100 | 100 | 100 |
| Total Number of Customer Complaints | cases | 3967 | 5925 | 8876 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Accumulative Number of Patents Granted | number of patents | 356 | 318 | 277 |
| Incidents of Non-compliance with Intellectual Property Rights | cases | 1 | ||
| Number of New Patent Applications | number of patents | 29 | 17 | 18 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Suppliers Accepting Anti-corruption Policies | % | 100 | 100 | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Directors and Management Attendance for Anti-corruption Training | person | 14 | 14 | 11 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | person | 7279 | 7062 | 7254 |
| Total Anti-corruption Training Hours for Directors and Management | hours | 5 | 7 | 16 |
| Total Hours of Anti-corruption Training | hours | 137 | 270 | 284 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Number of Employees Participating in Volunteer Activities | person | 287 | 725 | 1700 |
| Number of Participations in Volunteer Activities | person-times | 1700 | ||
| Total Social Investment | yuan | 2800000 | 6330014 | 2840000 |
| Total Volunteer Service Hours | hours | 3444 | 1450 | 3811 |