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 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Equivalent to reducing NOx emissions | tonnes | 505 | 560 | 50 |
| Equivalent to reducing SO2 emissions | tonnes | 317 | 345 | 50 |
| Intensity of hazardous emissions | kilograms | 34.68 | 3 | |
| Intensity of hazardous emissions year-on-year change compared to 2023 | 214.6% | 3 | ||
| Intensity of non-hazardous emissions | kilograms | 8.62 | 3 | |
| Intensity of non-hazardous emissions year-on-year change compared to 2023 | 7.9% | 3 | ||
| Reducing NOx emissions | tonnes | 560 | 3 | |
| Reducing SO2 emissions | tonnes | 345 | 3 | |
| Total emissions of NOx (kilograms) | kilograms | 1237.07 | 52 | |
| Total emissions of SO2 (kilograms) | kilograms | 2.22 | 52 | |
| Total emissions of particles (smoke and dust) (kilograms) | kilograms | 114.65 | 52 |
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 | 2020-2030 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| CO2 emissions per unit of GDP in China (Accelerated scenario) | % per year decrease | 6 | 16 | ||
| CO2 emissions per unit of GDP in China (Pledges scenario) | % per year decrease | 4 | 16 | ||
| CO2 emissions per unit of GDP in China (Stated policy scenario) | % per year decrease | 3 | 16 | ||
| Direct emissions (Scope 1) (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 392.92 | 51 | ||
| Emission intensity of greenhouse gas (tonnes of CO2 equivalent/$) | tonnes of CO2 equivalent/$ | 4.94 | 51 | ||
| Equivalent to planting trees (plants) | plants | 13690745 | 15962809 | 50 | |
| Equivalent to reducing CO2 emissions | tonnes | 3148871 | 3671469 | 50 | |
| Indirect emissions (Scope 2) (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 21705.68 | 51 | ||
| Intensity of direct emissions (tonnes of CO2 equivalent/$) | tonnes of CO2 equivalent/$ | 0.09 | 51 | ||
| Intensity of greenhouse gas emissions | tonnes of CO2 equivalent | 4.94 | 3 | ||
| Intensity of greenhouse gas emissions year-on-year change compared to 2023 | 1.7% | 3 | |||
| Intensity of indirect emissions (tonnes of CO2 equivalent/$) | tonnes of CO2 equivalent/$ | 4.85 | 51 | ||
| Reducing CO2 emissions | tonnes | 3671469 | 3 | ||
| Total emissions of greenhouse gas (tonnes of CO2 equivalent) | tonnes of CO2 equivalent | 22098.59 | 51 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Intensity of hazardous wastes emissions (kilograms) | kilograms | 34.68 | 52 |
| Total emissions of hazardous wastes (tonnes) | tonnes | 155.1 | 52 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Intensity of non-hazardous wastes emissions (kilograms) | kilograms | 8.62 | 52 |
| Total emissions of non-hazardous wastes (tonnes) | tonnes | 38.5 | 52 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| CO2 emissions reduced by total sale of electricity | million tonnes | 3.671 | 6 |
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 | 2020-2030 | 2023 | 2024 | 2025-2030 | 2030-2060 | Report Pages |
|---|---|---|---|---|---|---|---|
| Approximate O&M scale | GW | 6.3 | 6 | ||||
| Average annual newly installed capacity of wind power and solar PV in China (Accelerated scenario) | GW | 220 | 16 | ||||
| Average annual newly installed capacity of wind power and solar PV in China (Pledges scenario) | GW | 120 | 16 | ||||
| Average annual newly installed capacity of wind power and solar PV in China (Stated policy scenario) | GW | 70 | 16 | ||||
| Equivalent to household annual electricity consumption (households) | households | 1592269 | 1490649 | 50 | |||
| Equivalent to saving standard coal | tonnes | 1149108 | 1348739 | 50 | |||
| Intensity of energy consumption | kWh | 9019 | 3 | ||||
| Intensity of energy consumption (kWh/$) | kWh/$ | 0.919 | 51 | ||||
| Investment in renewable energy assets during the Reporting Period ($ million) | $ million | 2296 | 51 | ||||
| Number of utility-scale solar farms held, operated and managed | 46 | 6 | |||||
| Saving standard coals | tonnes | 1348739 | 3 | ||||
| Total approved capacity (including the 44.7 MW distributed projects) | MW | 4555.2 | 6 | ||||
| Total direct energy consumption (kWh) | kWh | 1351561 | 51 | ||||
| Total direct energy consumption proportion (%) | % | 3.4 | 51 | ||||
| Total energy consumption (kWh) | kWh | 40334461 | 51 | ||||
| Total indirect energy consumption (kWh) | kWh | 38982900 | 51 | ||||
| Total indirect energy consumption proportion (%) | % | 96.6 | 51 | ||||
| Total installed capacity | MW | 3695 | 4555 | 50 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Intensity of water consumption | cubic metres | 4.27 | 3 |
| Intensity of water consumption (cubic metres/$) | cubic metres/$ | 4.27 | 51 |
| Total water consumption (cubic metres) | cubic metres | 19104 | 51 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020-2030 | 2024 | Report Pages |
|---|---|---|---|---|
| Energy intensity of GDP in China (Accelerated scenario) | % per year decrease | 4 | 16 | |
| Energy intensity of GDP in China (Pledges scenario) | % per year decrease | 3 | 16 | |
| Energy intensity of GDP in China (Stated policy scenario) | % per year decrease | 2 | 16 | |
| Intensity of energy consumption year-on-year change compared to 2023 | 4.0% | 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.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Electricity sales | GWh | 3821.44 | 4471.95 | 3, 50 |
| Electricity sales attributable to renewable energy during the Reporting Period | % | 100 | 100 | 50 |
| Electricity sales year-on-year change compared to 2023 | 17.0% | 3 | ||
| Intensity of water consumption year-on-year change compared to 2023 | 1.3% | 3 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Investment attributable to renewable energy assets during the Reporting Period (%) | % | 100 | 51 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2025 | 2030 | 2050 | Report Pages |
|---|---|---|---|---|---|
| Carbon price in China (Accelerated scenario) | US$/t CO2 | 45 | 90 | 200 | 16 |
| Carbon price in China (Pledges scenario) | US$/t CO2 | 20 | 80 | close to 200 | 16 |
| Carbon price in China (Stated policy scenario) | US$/t CO2 | 10 | 20 | 70 | 16 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of employees | 414 | 52 | |
| Percentage of Board members who are females | 14.3% | 3 | |
| Percentage of employees aged 31–40 | % | 134(32.4%) | 52 |
| Percentage of employees aged 41–50 | % | 37(8.9%) | 52 |
| Percentage of employees aged ≤30 | % | 232(56.0%) | 52 |
| Percentage of employees aged ≥51 | % | 11(2.7%) | 52 |
| Percentage of employees in Anhui Province | % | 153(37.0%) | 52 |
| Percentage of employees in Hong Kong, China | % | 5(1.2%) | 52 |
| Percentage of employees in Hubei Province | % | 68(15.9%) | 52 |
| Percentage of employees in Mainland China | % | 409(98.8%) | 52 |
| Percentage of employees in Other regions | % | 190(45.9%) | 52 |
| Percentage of female employees | % | 32.7(7.3%) | 52 |
| Percentage of male employees | % | 382(92.3%) | 52 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Internal promotion rate for middle management | 100% | 3 | ||
| Turnover by age - 31–40 | 18.5% | 23 | 25 | 53 |
| Turnover by age - 41–50 | 2.7%, 23.3% | 7 | 1 | 53 |
| Turnover by age - ≤30 | 30.2%, 32.9% | 72 | 70 | 53 |
| Turnover by age - ≥51 | 27.3%, 33.3% | 4 | 3 | 53 |
| Turnover by gender - Female | 12.5%, 51.6% | 16 | 4 | 53 |
| Turnover by gender - Male | 24.9%, 25.4% | 90 | 95 | 53 |
| Turnover by region - Anhui Province | 18.3%, 42.9% | 63 | 28 | 53 |
| Turnover by region - Hong Kong, China | 20.0% | 1 | 1 | 53 |
| Turnover by region - Hubei Province | 19.7%, 23.9% | 16 | 13 | 53 |
| Turnover by region - Mainland China | 24.0%, 27.6% | 105 | 98 | 53 |
| Turnover by region - Other regions | 18.8%, 30.0% | 26 | 57 | 53 |
| Turnover of employees (turnover rate) | 23.9%, 27.2% | 106 | 99 | 53 |
Lost days due to work injury.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Loss of working days | 188 | 161 | 53 | |
| Ratio of lost working days | 46.8 | 38.9 | 53 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Employees trained by category - General staff | 96.2% | 98.1% | 53 | |
| Employees trained by category - Middle management | 2.9% | 1.7% | 53 | |
| Employees trained by category - Senior management | 0.0% | 0.2% | 53 | |
| Employees trained by gender - Female | 1.2% | 1.5% | 53 | |
| Employees trained by gender - Male | 98.8% | 98.5% | 53 | |
| Number of employees trained | 1624 | 1798 | 53 | |
| Training by institution - External training | 77.4% | 90.1% | 53 | |
| Training by institution - Internal training | 22.6% | 9.9% | 53 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Average training hours by employee category - General staff | hours | 18.7 | 1.8 | 53 |
| Average training hours by employee category - Middle management | hours | 19.6 | 156.5 | 53 |
| Average training hours by employee category - Senior management | hours | 4.8 | 0.8 | 53 |
| Average training hours by gender - Female | hours | 2.4 | 24.1 | 53 |
| Average training hours by gender - Male | hours | 19.9 | 52.5 | 53 |
| Average training hours completed per employee | hours | 18.5 | 50.3 | 3, 53 |
| Total hours of training received by employees | hours | 7112 | 20831 | 53 |
| Training hours by theme - Integrity training | hours | 110 | 142 | 53 |
| Training hours by theme - Occupational skills | hours | 1166 | 1659 | 53 |
| Training hours by theme - Personal development | hours | 5010 | 17637 | 53 |
| Training hours by theme - Safety training | hours | 826 | 1393 | 53 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Net assets value ($ million) | $ million | 12504 | 51 |
| Revenue attributable to renewable energy during the Reporting Period (%) | % | 100 | 51 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Bank loans ($ million) | $ million | 7330 | 51 |
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.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Current ratio | 1.6 | 51 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Anti-corruption training (hours) | hours | 110 | 142 | 50 |
| Anti-corruption training (persons) | persons | 109 | 134 | 50 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Basic earnings per share | HK cents | 8.95 | 6 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Community donation | RMB million | 1.709 | 3 |
| Direct economic value generated retained | % | 40.3 | 6 |
| Education funds for children of employees | RMB | 36000 | 3 |
| Number of children of employees receiving education funds | 9 | 3 | |
| Revenue | RMB million | 2440.4 | 6 |
| Revenue ($ million) | $ million | 2440 | 51 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kilograms | 114.65 |
| NOâ‚“ Emissions | kilograms | 1237.07 |
| SOâ‚“ Emissions | kilograms | 2.22 |
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) | tonnes of CO2 equivalent | 392.92 | |
| GHG Removals from Newly Planted Trees | plants | 13690745 | 15962809 |
| Indirect Energy Emissions (Scope 2) | tonnes of CO2 equivalent | 21705.68 | |
| Total GHG Emissions | tonnes of CO2 equivalent | 22098.59 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Hazardous Waste | tonnes | 155.1 |
| Total Hazardous Waste Intensity (By Product Weight) | kilograms | 34.68 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Non-Hazardous Waste Disposed | tonnes | 38.5 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | kilograms | 8.62 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | million tonnes | 3.671 |
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 | 2024 |
|---|---|---|
| Energy Consumption Intensity (By Revenue) | kWh/$ | 0.919 |
| Total Direct Energy Consumption | kWh | 1351561 |
| Total Energy Consumption | kWh | 40334461 |
| Total Indirect Energy Consumption | kWh | 38982900 |
| Total Installed Capacity | MW | 4555 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Water Consumption | cubic metres | 19104 |
| Water Consumption Intensity (By Revenue) | cubic metres/$ | 4.27 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Energy Consumption Reduction Percentage Compared to Last Year | % | 4 |
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 | 2024 |
|---|---|---|
| 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 | 2024 |
|---|---|---|
| Number of Employees Aged 30-50 | 171 | |
| Number of Employees Aged Above 50 | 11 | |
| Number of Employees Aged Below 30 | 232 | |
| Number of Employees in Hong Kong | 5 | |
| Number of Employees in Mainland China | 409 | |
| Number of Total Employees | 414 | |
| Percentage of Employees Aged 30-50 | % | 41.3 |
| Percentage of Employees Aged Above 50 | % | 2.7 |
| Percentage of Employees Aged Below 30 | % | 56 |
| Percentage of Employees in Hong Kong | % | 1.2 |
| Percentage of Employees in Mainland China | % | 98.8 |
| Percentage of Female Employees | % | 7.3 |
| Percentage of Male Employees | % | 92.3 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 18.5 | 18.5 |
| Turnover Rate of Employees Aged Above 50 | % | 33.3 | 27.3 |
| Turnover Rate of Employees Aged Below 30 | % | 32.9 | 30.2 |
| Turnover Rate of Employees in Hong Kong | % | 20 | 20 |
| Turnover Rate of Employees in Mainland China | % | 27.6 | 24 |
| Turnover Rate of Female Employees | % | 51.6 | 12.5 |
| Turnover Rate of Male Employees | % | 25.4 | 24.9 |
| Turnover Rate of Total Employees | % | 27.2 | 23.9 |
Lost days due to work injury.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 188 | 161 |
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 | % | 1.2 | 1.5 |
| Percentage of Trained General Employees | % | 96.2 | 98.1 |
| Percentage of Trained Male Employees | % | 98.8 | 98.5 |
| Percentage of Trained Middle Management | % | 2.9 | 1.7 |
| Percentage of Trained Senior Management | % | 0.2 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 2.4 | 24.1 |
| Average Training Hours (General Staff) | hours | 18.7 | 1.8 |
| Average Training Hours (Male) | hours | 19.9 | 52.5 |
| Average Training Hours (Middle Management) | hours | 19.6 | 156.5 |
| Average Training Hours (Senior Management) | hours | 4.8 | 0.8 |
| Average Training Hours per Employee | hours | 18.5 | 50.3 |
| Total Training Hours | hours | 7112 | 20831 |
| Training Hours of Anti-corruption | hours | 110 | 142 |
| Training Hours of Professional Skills Development | hours | 1166 | 1659 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Hours of Anti-corruption Training | hours/person | 1.01 | 1.06 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons | 109 | 134 |
| Total Hours of Anti-corruption Training | hours | 110 | 142 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Education Donation | RMB million | 0.036 |
| Total Cash Donations | RMB million | 1.709 |
| Total Public Welfare Donations | RMB million | 1.709 |
| Total Social Investment | RMB million | 1.709 |