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 |
|---|---|---|---|---|---|
| Carbon Monoxide (Tons) | Tons | 2.242 | 2.608 | 3.651 | 36 |
| Hydrogen Chloride (Tons) | Tons | 0.699 | 0.954 | 1.309 | 36 |
| Nitrogen Oxides (Tons) | Tons | 29.441 | 22.675 | 29.061 | 36 |
| Respirable Suspended Particulates (Tons) | Tons | 1.319 | 1.573 | 1.944 | 36 |
| Sulfur Oxides (Tons) | Tons | 2.341 | 3.132 | 0.406 | 36 |
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 |
|---|---|---|---|---|---|
| Greenhouse Gas Intensity (Tons of Carbon Dioxide Equivalent Per 10000 Yuan of Revenue) | Tons CO2e/10000 Yuan | 0.85 | 0.84 | 0.85 | 36 |
| Scope 1 Greenhouse Gas Emissions (Tons of Carbon Dioxide Equivalent) | Tons of CO2e | 3553 | 4430 | 7019 | 36 |
| Scope 1 emissions | tons of CO₂ equivalent | 7019 | 17 | ||
| Scope 2 Greenhouse Gas Emissions (Tons of Carbon Dioxide Equivalent) | Tons of CO2e | 382852 | 386671 | 401831 | 36 |
| Scope 2 emissions | tons of CO₂ equivalent | 401831 | 17 | ||
| Scope 3 Greenhouse Gas Emissions (Tons of Carbon Dioxide Equivalent) | Tons of CO2e | 45 | 116 | 116 | 36 |
| Scope 3 emissions | tons of CO₂ equivalent | 116 | 17 | ||
| Total Greenhouse Gas Emissions (Tons of Carbon Dioxide Equivalent) | Tons of CO2e | 386450 | 391217 | 409966 | 36 |
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 Intensity (Tons Per 10000 Yuan of Revenue) | Tons/10000 Yuan | 0.06 | 0.06 | 0.06 | 36 |
| Total Amount of Hazardous Waste (Tons) | Tons | 29300 | 29632 | 29888 | 36 |
| Total hazardous waste | tons | 138900 | 5 | ||
| Total sludge disposed of harmfully | tons | 762000 | 5 |
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 Intensity (Tons Per 10000 Yuan of Revenue) | Tons/10000 Yuan | 2.24 | 2.3 | 2.38 | 36 |
| Paper Consumption Intensity (Tons Per 10000 Yuan of Revenue) | Tons/10000 Yuan | 0.00003 | 36 | ||
| Total Amount of Non-hazardous Waste (Tons) | Tons | 1011165 | 1072238 | 1148215 | 36 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Carbon emissions reduced by Dongjiao Wastewater Treatment Plant photovoltaic project | tons | 5736 | 17 |
| Group reduced emissions through photovoltaic power generation | tons of CO₂ equivalent | 14895 | 17 |
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 |
|---|---|---|---|---|---|
| Acetylene Use (MWh) | MWh | 14 | 15 | 36 | |
| Amount of cooling capacity sold externally | megawatt-hours | 59976 | 5 | ||
| Amount of heat sold externally | megawatt-hours | 185452 | 5 | ||
| Annual power generation from Dongjiao Wastewater Treatment Plant photovoltaic project | million kWh | 6.5 | 17 | ||
| Cooling Capacity Sold (MWh) | MWh | 55011 | 59976 | 36 | |
| Diesel Use (MWh) | MWh | 601 | 1105 | 4077 | 36 |
| Energy Intensity (Megawatt-Hours Per 10000 Yuan of Revenue) | MWh/10000 Yuan | 1.23 | 1.24 | 1.35 | 36 |
| Gasoline Use (MWh) | MWh | 1670 | 1738 | 1525 | 36 |
| Heat Sold (MWh) | MWh | 66981 | 63374 | 185452 | 36 |
| Liquefied Petroleum Gas Use (MWh) | MWh | 160 | 103 | 36 | |
| Natural Gas Use (MWh) | MWh | 5922 | 13990 | 25503 | 36 |
| Photovoltaic installed capacity at Dongjiao Wastewater Treatment Plant | MWp | 6.13 | 17 | ||
| Purchased Electricity (MWh) | MWh | 648246 | 670526 | 614062 | 36 |
| Purchased Heat (MWh) | MWh | 15711 | 10783 | 130310 | 36 |
| Total Energy Consumption (MWh) | MWh | 554109 | 579871 | 652514 | 36 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total Water Consumption (m³) | m³ | 2102488 | 9772933 | 9837907 | 36 |
| Volume of reclaimed water sold externally | million cubic meters | 91.13 | 5 | ||
| Volume of tap water sold externally | million cubic meters | 58.46 | 5 | ||
| Water Consumption Intensity (Cubic Meters Per 10000 Yuan of Revenue) | m³/10000 Yuan | 4.65 | 20.95 | 20.38 | 36 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Volume of wastewater treated | cubic meters | 1706278299 | 5 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Paper Consumption (Tons) | Tons | 16.06 | 36 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Number of Board of Directors' meetings held | 24 | 5 | |||
| Number of Middle Management | 79 | 79 | 119 | 38 | |
| Number of Other Managers and Employees | 44 | 49 | 62 | 38 | |
| Number of Other Workers - Female | 35 | 24 | 37 | ||
| Number of Other Workers - Male | 77 | 51 | 37 | ||
| Number of Other Workers - Total | 112 | 75 | 37 | ||
| Number of Senior Management | 170 | 131 | 128 | 38 | |
| Number of Staff - Age 20–29 Years Old | 399 | 342 | 326 | 37 | |
| Number of Staff - Age 30–39 Years Old | 893 | 903 | 958 | 37 | |
| Number of Staff - Age 40–49 Years Old | 704 | 723 | 731 | 37 | |
| Number of Staff - Age 50 Years Old or Older | 269 | 282 | 306 | 37 | |
| Number of Staff - Education Bachelor's Degree | 1332 | 37 | |||
| Number of Staff - Education Doctor's Degree | 5 | 37 | |||
| Number of Staff - Education Junior College Degree or Below | 755 | 37 | |||
| Number of Staff - Education Master's Degree | 229 | 37 | |||
| Number of Staff - Female | 712 | 718 | 747 | 37 | |
| Number of Staff - Job Level Middle Management | 140 | 37 | |||
| Number of Staff - Job Level Other Managers and Employees | 2172 | 37 | |||
| Number of Staff - Job Level Senior Management | 9 | 37 | |||
| Number of Staff - Male | 1553 | 1532 | 1574 | 37 | |
| Number of Staff - Region Beijing-Tianjin-Hebei Region | 439 | 430 | 37 | ||
| Number of Staff - Region Caring Company | 268 | 269 | 37 | ||
| Number of Staff - Region Green Energy Company | 83 | 88 | 37 | ||
| Number of Staff - Region Guangdong-Hong Kong-Macao Greater Bay Area Region | 207 | 218 | 37 | ||
| Number of Staff - Region Headquarters | 164 | 163 | 37 | ||
| Number of Staff - Region Southwest Region | 249 | 253 | 37 | ||
| Number of Staff - Region Tianchuang Environment | 12 | 37 | |||
| Number of Staff - Region Yangtze River Delta Region | 393 | 418 | 37 | ||
| Number of Staff - Region Yellow River Basin Region | 303 | 328 | 37 | ||
| Number of Staff - Region Zhongshui Company | 144 | 142 | 37 | ||
| Number of Staff - Total | 2265 | 2250 | 2321 | 37 | |
| Number of employees | 2312 | 5 | |||
| Number of workers' congresses held | 9 | 5 | |||
| Total Number of Employees | 46 | 52 | 65 | 38 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee Turnover Rate - Age 19 Years Old or Younger | 0% | 0% | 0% | 37 | |
| Employee Turnover Rate - Age 20–29 Years Old | 9.5% | 10.5% | 5.2% | 37 | |
| Employee Turnover Rate - Age 30–39 Years Old | 4.6% | 4.2% | 3.1% | 37 | |
| Employee Turnover Rate - Age 40–49 Years Old | 1.7% | 1.8% | 2.5% | 37 | |
| Employee Turnover Rate - Age 50 Years Old or Older | 9.3% | 9.6% | 13.1% | 37 | |
| Employee Turnover Rate - Female | 4.1% | 3.5% | 3.6% | 37 | |
| Employee Turnover Rate - Male | 5.6% | 5.8% | 5.0% | 37 | |
| Employee Turnover Rate - Region Beijing-Tianjin-Hebei Region | 3.2% | 3.5% | 37 | ||
| Employee Turnover Rate - Region Caring Company | 3.4% | 2.2% | 37 | ||
| Employee Turnover Rate - Region Green Energy Company | 6.0% | 6.8% | 37 | ||
| Employee Turnover Rate - Region Guangdong-Hong Kong-Macao Greater Bay Area Region | 2.4% | 5.5% | 37 | ||
| Employee Turnover Rate - Region Headquarters | 13.4% | 9.2% | 37 | ||
| Employee Turnover Rate - Region Southwest Region | 3.6% | 3.6% | 37 | ||
| Employee Turnover Rate - Region Tianchuang Environment | 0% | 37 | |||
| Employee Turnover Rate - Region Yangtze River Delta Region | 9.9% | 4.6% | 37 | ||
| Employee Turnover Rate - Region Yellow River Basin Region | 1.7% | 5.8% | 37 | ||
| Employee Turnover Rate - Region Zhongshui Company | 4.2% | 2.8% | 37 | ||
| Employee Turnover Rate - Total | 5.1% | 5.1% | 4.5% | 37 | |
| Number of Staff - Age 20–29 Years Old (Turnover) | 21 | 6 | 37 | ||
| Number of Staff - Age 30–39 Years Old (Turnover) | 17 | 6 | 37 | ||
| Number of Staff - Age 40–49 Years Old (Turnover) | 29 | 24 | 37 | ||
| Number of Staff - Age 50 Years Old or Older (Turnover) | 45 | 39 | 37 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee satisfaction rate | 100% | 5 | |||
| Percentage of Trained Employees - Female | 99.4% | 94.6% | 99.1% | 37 | |
| Percentage of Trained Employees - Male | 99.1% | 90.2% | 94.8% | 37 | |
| Percentage of Trained Employees - Middle Management | 100% | 78.3% | 100% | 37 | |
| Percentage of Trained Employees - Other Managers and Employees | 97.5% | 92.6% | 95.9% | 37 | |
| Percentage of Trained Employees - Senior Management | 100% | 90.0% | 100% | 37 | |
| Percentage of Trained Employees - Total | 99.2% | 91.6% | 96.2% | 37 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average Training Hours (Directors) | Hours | 12 | 15 | 28 | 38 |
| Average Training Hours (Employees) | Hours | 12 | 15 | 30 | 38 |
| Average Training Hours Per Employee (Hours) - Female | hours | 46 | 50 | 59 | 37 |
| Average Training Hours Per Employee (Hours) - Male | hours | 47 | 53 | 68 | 37 |
| Total class hours of legal compliance training | class hours | 28 | 5 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Cumulative total of valid patents obtained | 213 | 5 | |
| Software copyrights obtained | 34 | 5 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Director attendance rate at Board meetings | 100% | 5 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of legal compliance training sessions conducted | 4 | 5 | |
| Total person-times participating in legal compliance training | person-times | 300 | 5 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Value of 'Green + Rural Revitalization' dual-labeled bills issued | million yuan | 500 | 5 |
| Value of poverty alleviation products purchased | yuan | 160200 | 5 |
| Volunteer service hours carried out by the Group | hours | 876 | 5 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tons | 1.319 | 1.573 | 1.944 |
| NOₓ Emissions | Tons | 29.441 | 22.675 | 29.061 |
| SOₓ Emissions | Tons | 2.341 | 3.132 | 0.406 |
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) | Tons of CO2e | 3553 | 4430 | 7019 |
| Indirect Energy Emissions (Scope 2) | Tons of CO2e | 382852 | 386671 | 401831 |
| Total GHG Emissions | Tons of CO2e | 386450 | 391217 | 409966 |
| Total GHG Emissions Intensity (By Revenue) | Tons CO2e/10000 Yuan | 0.85 | 0.84 | 0.85 |
| Total Other Indirect Energy Emissions (Scope 3) | Tons of CO2e | 45 | 116 | 116 |
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 | Tons | 29300 | 29632 | 29888 |
| Total Hazardous Waste Intensity (By Revenue) | Tons/10000 Yuan | 0.06 | 0.06 | 0.06 |
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 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | Tons | 1011165 | 1072238 | 1148215 |
| Total Non-Hazardous Waste Intensity (By Revenue) | Tons/10000 Yuan | 2.24 | 2.3 | 2.38 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | tons | 5736 |
| GHG Emissions Reduction Compared to Last Year | tons of CO₂ equivalent | 14895 |
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 |
|---|---|---|---|---|
| Diesel Fuel Consumption | MWh | 601 | 1105 | 4077 |
| Energy Consumption Intensity (By Revenue) | MWh/10000 Yuan | 1.23 | 1.24 | 1.35 |
| Gasoline Consumption | MWh | 1670 | 1738 | 1525 |
| LPG Consumption | MWh | 160 | 103 | |
| Natural Gas Consumption | MWh | 5922 | 13990 | 25503 |
| Purchased Electricity | MWh | 648246 | 670526 | 614062 |
| Purchased Heating | MWh | 15711 | 10783 | 130310 |
| Solar Energy | million kWh | 6.5 | ||
| Sold Heating | MWh | 66981 | 63374 | 185452 |
| Total Energy Consumption | MWh | 554109 | 579871 | 652514 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | m³ | 2102488 | 9772933 | 9837907 |
| Water Consumption Intensity (By Revenue) | m³/10000 Yuan | 4.65 | 20.95 | 20.38 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Packaging Material Consumption (Paper) | Tons | 16.06 |
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 | persons | 1332 | ||
| Number of Below Junior College Employees | persons | 755 | ||
| Number of Doctoral Degree Employees | persons | 5 | ||
| Number of Employees Aged 30-50 | persons | 1597 | 1626 | 1689 |
| Number of Employees Aged Above 50 | persons | 269 | 282 | 306 |
| Number of Employees Aged Below 30 | persons | 399 | 342 | 326 |
| Number of Female Employees | persons | 712 | 718 | 747 |
| Number of General Employees | persons | 44 | 49 | 62 |
| Number of Male Employees | persons | 1553 | 1532 | 1574 |
| Number of Master's Degree Employees | persons | 229 | ||
| Number of Middle Management Employees | persons | 79 | 79 | 119 |
| Number of Senior Management Employees | persons | 170 | 131 | 128 |
| Number of Total Employees | persons | 2265 | 2250 | 2321 |
| Percentage of Employees Aged 30-50 | % | 54.5 | ||
| Percentage of Employees Aged Above 50 | % | 14 | ||
| Percentage of Employees Aged Below 30 | % | 31.5 | ||
| Percentage of Female Employees | % | 32.2 | ||
| Percentage of Male Employees | % | 67.8 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 4.6 | 4.2 | 3.1 |
| Turnover Rate of Employees Aged Above 50 | % | 9.3 | 9.6 | 13.1 |
| Turnover Rate of Employees Aged Below 30 | % | 9.5 | 10.5 | 5.2 |
| Turnover Rate of Female Employees | % | 4.1 | 3.5 | 3.6 |
| Turnover Rate of Male Employees | % | 5.6 | 5.8 | 5 |
| Turnover Rate of Total Employees | % | 5.1 | 5.1 | 4.5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 99.2 | 91.6 | 96.2 |
| Percentage of Trained Female Employees | % | 99.4 | 94.6 | 99.1 |
| Percentage of Trained Male Employees | % | 99.1 | 90.2 | 94.8 |
| Percentage of Trained Middle Management | % | 100 | 78.3 | 100 |
| Percentage of Trained Senior Management | % | 100 | 90 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Director and Above) | Hours | 12 | 15 | 28 |
| Average Training Hours (Female) | hours | 46 | 50 | 59 |
| Average Training Hours (Male) | hours | 47 | 53 | 68 |
| Average Training Hours per Employee | Hours | 12 | 15 | 30 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Accumulative Number of Patents Granted | 213 | |
| Number of Intellectual Property Rights Obtained by the Company | 247 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Anti-corruption Training Session | 4 | |
| Number of Attendance for Anti-corruption Training | person-times | 300 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | yuan | 160200 |
| Total Volunteer Service Hours | hours | 876 |