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 |
|---|---|---|---|---|---|
| Average NOₓ emission density over the past three years | kg/RMB 10 thousand | 0.31 | 77 | ||
| Average SO₂ emission density over the past three years | kg/RMB 10 thousand | 0.12 | 77 | ||
| Average particulate matter emission density over the past three years | kg/RMB 10 thousand | 0.04 | 77 | ||
| NOₓ emission density | kg/RMB 10 thousand | 0.29 | 0.30 | 0.34 | 77 |
| NOₓ emission density increase/decrease | Percentage | 13.92 | 77 | ||
| Particle emission density | kg/RMB 10 thousand | 0.05 | 0.05 | 0.04 | 77 |
| SO₂ emission density | kg/RMB 10 thousand | 0.10 | 0.12 | 0.13 | 77 |
| Total COD discharge | Ton | 343.67 | 545.78 | 467.98 | 77 |
| Total NOₓ emissions | Ton | 1136.84 | 1256.29 | 1621.84 | 77 |
| Total SO₂ emissions | Ton | 380.71 | 497.06 | 617.84 | 77 |
| Total ammonia nitrogen discharge | Ton | 9.51 | 17.03 | 16.22 | 77 |
| Total particle emission | Ton | 184.87 | 191.10 | 175.18 | 77 |
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 reduction from hydrogen sales | thousand tons, tons | 20700 | 12, 18 | ||
| China's contribution to global coking coal production | tons | 550 million | 86 | ||
| China's share of global coke production and consumption | tons | 490 million | 86 | ||
| China's share of global coke production and consumption (percentage) | percent | 68 | 86 | ||
| China's share of global coking coal consumption | percent | 62 | 86 | ||
| China's share of global coking coal production | percent | 53 | 86 | ||
| Comprehensive carbon emissions of industry clean hydrogen standards | kgCO₂/kgH₂ | 0.49 | 18 | ||
| Greenhouse gas emission density (location-based) | Ton of CO2e/RMB 10 thousand | 1.28 | 2.10 | 2.02 | 63 |
| Greenhouse gas emission intensity (Market-based) | Ton of CO2e/RMB 10 thousand | 1.94 | 63 | ||
| Indirect greenhouse gas emissions (Market-based) | tons of CO2e | 1015777.72 | 63 | ||
| Indirect greenhouse gas emissions (location-based) | tons of CO2e | 661571.43 | 788345.55 | 1409472.96 | 63 |
| Total emission of greenhouse gas | tons of CO2e | 4386131.17 | 8104456.65 | 8282411.78 | 63 |
| Total greenhouse gas emissions (Market-based) | tons of CO2e | 9298189.51 | 63 | ||
| Total greenhouse gas emissions (location-based) | tons of CO2e | 5047702.61 | 8892802.20 | 9691884.74 | 63 |
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 |
|---|---|---|---|---|---|
| Amount of hazardous waste | Ton | 308742.74 | 332969.52 | 334997.99 | 77 |
| Production density of hazardous wastes | Ton/RMB 10 thousand | 0.08 | 0.08 | 0.07 | 77 |
| Treatment rate of hazardous waste | Percentage | 100 | 100 | 100 | 77 |
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 production | Ton | 343112.98 | 555385.12 | 748195.51 | 77 |
| Production density of non-hazardous wastes | Ton/RMB 10 thousand | 0.09 | 0.13 | 0.16 | 77 |
| Treatment rate of non-hazardous waste | Percentage | 100 | 100 | 100 | 77 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Particulate matter emission density increase/decrease | Percentage | -19.11 | 77 |
| SO₂ emission density increase/decrease | Percentage | 9.68 | 77 |
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 |
|---|---|---|---|---|---|
| Carbon reduction from green electricity procurement | tons | 35000 | 12 | ||
| Coal consumption | Ton | 7882441.98 | 11660898.69 | 12873596.99 | 68 |
| Comprehensive energy consumption | Ton of standard coal | 9337280.81 | 9179882.01 | 12844058.97 | 68 |
| Comprehensive energy consumption density | Ton of standard coal/RMB ten thousand | 2.36 | 2.17 | 2.68 | 68 |
| Diesel consumption | Ton | 1982.01 | 3180.31 | 2906.87 | 68 |
| Gasoline consumption | Ton | 47.48 | 45.41 | 40.76 | 68 |
| Global coke production and consumption | tons | 720 million | 86 | ||
| Global coking coal production | tons | 1.05 billion | 86 | ||
| Green electricity procurement ratio in Tangshan and Hohhot bases | % | 70 | 12 | ||
| Hydrogen sales | million Nm³ | 20.1 | 12 | ||
| Hydrogen sold | million Nm³ | 20.1 | 18 | ||
| Net purchased electricity | MWh | 933756.03 | 1465659.66 | 1772647.41 | 68 |
| Net purchased heat | GJ | 1173185.15 | -442735.25 | 2068476.02 | 68 |
| PEM electrolyzer prototype manufacturing capacity | m³/h | 0.5 | 18 | ||
| Process energy consumption in coking sector | kgce/t | 110 | 64 | ||
| Purchased clean electricity | MWh | 430000 | 68 | ||
| Self-generated electricity | MWh | 1765468.05 | 2109854.60 | 68 | |
| Total operational management capacity (Risun Group) | million tons per year | 8.86 | 85 | ||
| Total procurement of green electricity | million kWh | 430 | 12 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average waste water discharge density over the past three years | Ton/RMB 10 thousand | 1.46 | 77 | ||
| Fresh water consumption density (first line of table) | Ton/RMB 10 thousand | 6.46 | 9.88 | 5.28 | 70 |
| Fresh water consumption density (second line of table) | Ton/RMB 10 thousand | 8.24 | 3.93 | 70 | |
| Sewage discharge density | Ton/RMB 10 thousand | 1.40 | 1.58 | 1.40 | 77 |
| Total fresh water consumption (first line of table) | Ten thousand tons | 2552.96 | 4178.71 | 2529.67 | 70 |
| Total fresh water consumption (second line of table) | Ten thousand tons | 3487.48 | 1884.88 | 70 | |
| Total sewage discharge | Ton | 5550279.45 | 6697847.94 | 6730520.41 | 77 |
| Waste water discharge density increase/decrease | Percentage | -11.33 | 77 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | 2025 | 2030 | Report Pages |
|---|---|---|---|---|---|
| 2025 Hydrogen sales target | million Nm³ | 50 | 18 | ||
| Average steam savings from Leting Base desulfurization slurry waste heat recovery project | tons/hour | over 3 | 66 | ||
| Electrification rate target for non-electrifiable applications | % | 20 | 55 | ||
| Hydrogen fuel cell buses delivered in Dingzhou | 10 | 18 | |||
| Hydrogen fuel cell cleaning vehicles delivered in Dingzhou | 2 | 18 |
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 |
|---|---|---|---|---|
| Proportion of regions subject to extremely high baseline water pressure | Percentage | 87.50 | 87.50 | 70 |
| Proportion of regions subject to high baseline water pressure | Percentage | 12.50 | 12.50 | 70 |
| Utilization rate of circulating water in all plants | % | >98 | 68 | |
| Utilization rate of circulating water in all plants (highest) | % | 98.7 | >99 | 68 |
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 |
|---|---|---|---|
| Industry standards drafted related to hydrogen energy | 1 | 18 | |
| Local standards drafted related to hydrogen energy | 1 | 18 |
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 doctors recruited | 20 | 12 | |||
| Number of foreign language talents recruited | 113 | 12 | |||
| Total assets | 100 million RMB | 461.0 | 538.4 | 598.4 | 7 |
| Total number of contract labors | person | 7389 | 91 | ||
| Total number of employees | person | 7389 | 91 | ||
| Total number of employees above 50 years old | person | 462 | 91 | ||
| Total number of employees from 31 to 40 years old | person | 3061 | 91 | ||
| Total number of employees from 41 to 50 years old | person | 1527 | 91 | ||
| Total number of employees in Hebei Province | person | 4757 | 91 | ||
| Total number of employees in regions outside Hebei Province | person | 2632 | 91 | ||
| Total number of employees of ethnic minorities | person | 186 | 91 | ||
| Total number of employees under 30 years old | person | 2339 | 91 | ||
| Total number of employees with junior titles | person | 1760 | 91 | ||
| Total number of employees with medium titles | person | 621 | 91 | ||
| Total number of employees with senior titles | person | 131 | 91 | ||
| Total number of female employees | person | 1210 | 91 | ||
| Total number of male employees | person | 6179 | 91 | ||
| Total operating revenue | 100 million RMB | 431.4 | 460.7 | 475.4 | 7 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Annual turnover rate of regular employees | % | 13.93 | 91 |
| Number of masters recruited | 64 | 12 | |
| Turnover percentage of employees above 50 years old | % | 18.61 | 91 |
| Turnover percentage of employees from 31 to 40 years old | % | 9.77 | 91 |
| Turnover percentage of employees from 41 to 50 years old | % | 6.55 | 91 |
| Turnover percentage of employees in Hebei Province | % | 10.78 | 91 |
| Turnover percentage of employees outside Hebei Province | % | 19.60 | 91 |
| Turnover percentage of employees under 30 years old (inclusive) | % | 23.26 | 91 |
| Turnover percentage of female employees | % | 15.29 | 91 |
| Turnover percentage of male employees | % | 13.66 | 91 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Death rate due to work-related injuries | % | 0.03 | 92 |
| Number of deaths due to work-related injuries | Person | 2 | 92 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of employees trained | Person | 277683 | 93 |
| Operational management capacity - chemicals (Risun Group) | tons per year | 660000 | 85 |
| Operational management capacity - coke (Risun Group) | million tons per year | 8.2 | 85 |
| Percentage of employees trained | % | 100 | 93 |
| Percentage of employees with junior titles trained | % | 100 | 93 |
| Percentage of employees with medium titles trained | % | 100 | 93 |
| Percentage of employees with senior titles trained | % | 100 | 93 |
| Percentage of female employees trained | % | 100 | 93 |
| Percentage of male employees trained | % | 100 | 93 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Average training hours of senior employees and above | hour/person | 31.72 | 94 |
| Average training time per employee | hour/person | 50.11 | 93 |
| Average training time per female employee | hour/person | 49.48 | 93 |
| Average training time per junior employee | hour/person | 51.7 | 94 |
| Average training time per male employee | hour/person | 50.74 | 93 |
| Average training time per middle-level employee | hour/person | 40.79 | 94 |
| Total number of trainings | Times | 16009 | 93 |
| Total training hours of employees | Hour | 370244.00 | 93 |
| Total training hours of junior employees | Hour | 90994 | 94 |
| Total training hours of middle-level employees | Hour | 25329 | 94 |
| Total training hours of senior employees and above | Hour | 4155 | 94 |
| Training expense | RMB10000 | 24.90 | 93 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Chinese coke exports as percentage of international coke trade volume | percent | 50 | 86 | |
| Number of countries and regions worldwide reached by Chinese coke exports | countries/regions | 20 | 86 | |
| Number of suppliers by geographical region - Central China | 372 | 87 | ||
| Number of suppliers by geographical region - East China | 633 | 87 | ||
| Number of suppliers by geographical region - North China | 1085 | 87 | ||
| Number of suppliers by geographical region - Northeast China | 290 | 87 | ||
| Number of suppliers by geographical region - Northwest China | 169 | 87 | ||
| Number of suppliers by geographical region - South China | 324 | 87 | ||
| Number of suppliers by geographical region - Southwest China | 151 | 87 | ||
| Percentage of suppliers by geographical region - Central China | % | 12 | 87 | |
| Percentage of suppliers by geographical region - East China | % | 21 | 87 | |
| Percentage of suppliers by geographical region - North China | % | 36 | 87 | |
| Percentage of suppliers by geographical region - Northeast China | % | 10 | 87 | |
| Percentage of suppliers by geographical region - Northwest China | % | 5 | 87 | |
| Percentage of suppliers by geographical region - South China | % | 11 | 87 | |
| Percentage of suppliers by geographical region - Southwest China | % | 5 | 87 | |
| Total number of suppliers | 3024 | 87 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of producers covered in the review | 2726 | 87 | |
| Number of producers having passed the ESG review | 2588 | 87 | |
| Percentage of producers covered in the review | % | 90 | 87 |
| Percentage of producers having passed the ESG review | % | 86 | 87 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Market value of China's coking industry | yuan | 150 billion | 86 | ||
| Market value of China's coking industry (USD equivalent) | USD | 21.8 billion | 86 | ||
| Net income attributable to the parent company | 100 million RMB | 18.6 | 8.6 | 0.2 | 7 |
| Syndicated sustainability-linked loan facility, April 2024 | million USD | 500 | 61 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Patents filed related to hydrogen energy | 5 | 18 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Group standards drafted related to hydrogen energy | 2 | 18 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Total number of labor-related appeals filed through formal appeal mechanism | case | 3 | 91 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of anti-corruption training sessions conducted by position: Directors | Times | 29 | 35 |
| Number of anti-corruption training sessions conducted by position: Employees | Times | 98 | 35 |
| Number of anti-corruption training sessions conducted by position: Management | Times | 161 | 35 |
| Number of persons participating in anti-corruption training sessions by position: Directors | Person | 460 | 35 |
| Number of persons participating in anti-corruption training sessions by position: Employees | Person | 20632 | 35 |
| Number of persons participating in anti-corruption training sessions by position: Management | Person | 9104 | 35 |
| Total hours of anti-corruption training | Hour | 60 | 35 |
| Total number of anti-corruption training sessions | Times | 288 | 35 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Beneficiaries of volunteer activities (Risun Weishan Indonesian Base) | Person-time | 10000 | 105 |
| Number of volunteer activities (Risun Weishan Indonesian Base) | periods | 14 | 105 |
| Volunteer hours (Risun Weishan Indonesian Base) | hours | 112 | 105 |
| Volunteer participation (Risun Weishan Indonesian Base) | Person-time | 50 | 105 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Ton | 184.87 | 191.1 | 175.18 |
| NOₓ Emission Intensity (By Revenue) | kg/RMB 10 thousand | 0.29 | 0.3 | 0.34 |
| NOₓ Emissions | Ton | 1136.84 | 1256.29 | 1621.84 |
| PM Emission Intensity (By Revenue) | kg/RMB 10 thousand | 0.05 | 0.05 | 0.04 |
| SOₓ Emission Intensity (By Revenue) | kg/RMB 10 thousand | 0.1 | 0.12 | 0.12 |
| SOₓ Emissions | Ton | 380.71 | 497.06 | 617.84 |
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 |
|---|---|---|---|---|
| Indirect Energy Emissions (Scope 2) | tons of CO2e | 661571.43 | 788345.55 | 1409472.96 |
| Total GHG Emissions | tons of CO2e | 4386131.17 | 8104456.65 | 8282411.78 |
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 |
|---|---|---|---|---|
| Disposal Rate of Hazardous Waste | Percentage | 100 | 100 | 100 |
| Total Hazardous Waste | Ton | 308742.74 | 332969.52 | 334997.99 |
| Total Hazardous Waste Intensity (By Revenue) | Ton/RMB 10 thousand | 0.08 | 0.08 | 0.07 |
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 | Ton | 343112.98 | 555385.12 | 748195.51 |
| Total Non-Hazardous Waste Intensity (By Revenue) | Ton/RMB 10 thousand | 0.09 | 0.13 | 0.16 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| PM Emissions Reduction Compared to Last Year | Percentage | -19.11 |
| PM Emissions Reduction Percentage Compared to Last Year | % | 83 |
| SO2 Emissions Reduction Compared to Last Year | Percentage | 9.68 |
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 |
|---|---|
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % |
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 |
|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | Ton of standard coal/RMB ten thousand | 2.36 | 2.17 | 2.68 |
| Diesel Fuel Consumption | Ton | 1982.01 | 3180.31 | 2906.87 |
| Gasoline Consumption | Ton | 47.48 | 45.41 | 40.76 |
| Purchased Electricity | MWh | 933756.03 | 1465659.66 | 1772647.41 |
| Purchased Heating | GJ | 1173185.15 | -442735.25 | 2068476.02 |
| Total Energy Consumption | Ton of standard coal | 9337280.81 | 9179882.01 | 12844058.97 |
| Total Indirect Energy Consumption | MWh | 933756.03 | 1465659.66 | 1772647.41 |
| Total Non-Renewable Fuel Consumption | Ton | 7882441.98 | 11660898.69 | 12873596.99 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Wastewater Discharge Intensity | Ton/RMB 10 thousand | 1.4 | 1.58 | 1.4 |
| Water Consumption | Ten thousand tons | 2552.96 | 4178.71 | 2529.67 |
| Water Consumption Intensity (By Revenue) | Ton/RMB 10 thousand | 6.46 | 9.88 | 5.28 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | million kWh | 8.6858 |
| Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | |
| Number of Energy-saving and Carbon Reduction Demonstration Projects Achieved |
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 | person | 4588 |
| Number of Employees Aged Above 50 | person | 462 |
| Number of Employees Aged Below 30 | person | 2339 |
| Number of Female Employees | person | 1210 |
| Number of Male Employees | person | 6179 |
| Number of Total Employees | person | 7389 |
| Percentage of Employees Aged 30-50 | % | 62.08 |
| Percentage of Employees Aged Above 50 | % | 6.25 |
| Percentage of Employees Aged Below 30 | % | 31.67 |
| Percentage of Female Employees | % | 16.37 |
| Percentage of Male Employees | % | 83.64 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 9.77 |
| Turnover Rate of Employees Aged Above 50 | % | 18.61 |
| Turnover Rate of Employees Aged Below 30 | % | 23.26 |
| Turnover Rate of Female Employees | % | 15.29 |
| Turnover Rate of Male Employees | % | 13.66 |
| Turnover Rate of Total Employees | % | 13.93 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Fatalities Rate as a Result of Work-related Injuries | % | 0.03 |
| Number of Fatalities as a Result of Work-related Injuries | Person | 2 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Percentage of Trained Female Employees | % | 100 |
| Percentage of Trained Male Employees | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Average Training Hours (Female) | hour/person | 49.48 |
| Average Training Hours (General Staff) | hour/person | 51.7 |
| Average Training Hours (Male) | hour/person | 50.74 |
| Average Training Hours (Middle Management) | hour/person | 40.79 |
| Average Training Hours (Senior Management) | hour/person | 31.72 |
| Average Training Hours per Employee | hour/person | 50.11 |
| Total Training Hours | Hour | 370244 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Suppliers in Central China | 372 | |
| Number of Suppliers in East China | 633 | |
| Number of Suppliers in North China | 1085 | |
| Number of Suppliers in Northeast China | 290 | |
| Number of Suppliers in Northwest China | 169 | |
| Number of Suppliers in South China | 324 | |
| Number of Suppliers in Southwest China | 151 | |
| Number of Total Suppliers | 3024 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | 2726 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Intellectual Property Rights Obtained by the Company | ||
| Number of Patents Applied | 5 | |
| Number of Patents Held |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Anti-corruption Training Session | Times | 288 |
| Number of Directors and Management Attendance for Anti-corruption Training | Person | 9564 |
| Number of General Employees Attendance for Anti-corruption Training | Person | 20632 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | Person | 30296 |
| Total Hours of Anti-corruption Training | Hour | 60 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Participations in Volunteer Activities | Person-time | 50 |
| Number of Volunteer Activities Sessions | periods | 14 |
| Total Volunteer Service Hours | hours | 112 |