ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|
| Average particulate matter emission density over the past three years | kg/RMB 10 thousand | 0.05 | 86 | |||
| Concentration of sulfuric acid from desulfurization waste liquid | no less than 92.5% | 15 | ||||
| Decrease of particulate matter emissions at Dingzhou Base | tonnes | 355 | 15 | |||
| Lowered VOCs emissions at Dingzhou Base | tonnes | 73.91 | 15 | |||
| NOx emission concentration | mg/m3 | 25 | 87 | |||
| NOx emission density | kg/RMB 10 thousand | 0.32 | 0.29 | 0.3 | 85 | |
| NOx emission density increase/decrease | Percentage | 3.25 | 85 | |||
| Particle emission density | kg/RMB 10 thousand | 0.05 | 0.05 | 0.05 | 86 | |
| Pollutant emission concentration (SO2, NOx, particulate matter and other pollutants) compared to ultra-low emission standard | percent | lower than 20 | 81 | |||
| SO2 emission concentration | mg/m3 | 15 | 87 | |||
| SO2 emission density increase/decrease | Percentage | 21.99 | 85 | |||
| Total COD discharge | Ton | 402.7 | 343.67 | 545.78 | 86 | |
| Total NOx emissions | Ton | 1173.69 | 1136.84 | 1256.29 | 85 | |
| Total SO2 emissions | Ton | 296.6 | 380.71 | 497.06 | 85 | |
| Total ammonia nitrogen discharge | Ton | 9.41 | 9.51 | 17.03 | 86 | |
| Total particle emission | Ton | 166.26 | 184.87 | 191.1 | 86 | |
| particulate matter emission concentration | mg/m3 | 10 | 87 |
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 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Direct emissions of greenhouse gases | tons of CO2e | 3824537.41 | 4386131.17 | 7789855.81 | 70 |
| Greenhouse gas emission density | Ton of CO2e/RMB 10 thousand | 1.22 | 1.28 | 2.03 | 70 |
| Indirect emissions of greenhouse gases | tons of CO2e | 597590.37 | 661571.43 | 787487.53 | 70 |
| Reduction in carbon emissions due to hydrogen sales | tons | 9700 | 71 | ||
| Reduction in greenhouse gas emissions from hydrogen sales | tonnes | 9700 | 21 | ||
| Reduction in greenhouse gas emissions through energy-saving technological reforms | million tons | 3.78 | 49 | ||
| Reduction of carbon dioxide emission at Tangshan Risun Chemical’s Hydrogen Production Plant | tonnes/year | 3251 | 15 | ||
| SO2 emission density | kg/RMB 10 thousand | 0.08 | 0.1 | 0.12 | 85 |
| Total emission of greenhouse gas | tons of CO2e | 4422127.78 | 5047702.61 | 8577343.34 | 70 |
| Whole process GHG emission for hydrogen | COâ‚‚/kgHâ‚‚ | 0.49 | 21 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Amount of hazardous waste | Ton | 245550.13 | 308742.74 | 332969.52 | 86 |
| Production density of hazardous wastes | Ton/RMB 10 thousand | 0.07 | 0.08 | 0.08 | 86 |
| Treatment rate of hazardous waste | % | 100 | 100 | 100 | 86 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste production | Ton | 320266.02 | 343112.98 | 555385.12 | 86 |
| Production density of non-hazardous wastes | Ton/RMB 10 thousand | 0.09 | 0.09 | 0.13 | 86 |
| Solid waste disposal in accordance with relevant provisions | Completed | 81 | |||
| Treatment rate of non-hazardous waste | % | 100 | 100 | 100 | 86 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Annual carbon dioxide emission reduction | million tonnes | 3.78 | 21 |
| Carbon dioxide emission reduction | million tonnes | 3.78 | 9 |
| NOx emissions reduction for Dingzhou Base | tons | 188 | 82 |
| NOx emissions reduction target for Dingzhou Base | percent decrease | 30 | 82 |
| Particulate matter emission density increase/decrease | Percentage | -3.41 | 86 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Chemical industry sector zero discharge technology utilization | Completed | 81 |
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 | 2021 | 2022 | 2023 | 2023-2024 | Report Pages |
|---|---|---|---|---|---|---|
| Annual target achievement rate for hydrogen sales | % | 122 | 21 | |||
| Annual target for hydrogen sales | million Nm³ | 7.65 | 71 | |||
| Coal consumption | Ton | 7961688.16 | 7882441.98 | 11660898.69 | 80 | |
| Comprehensive energy consumption | Ton of standard coal | 10475170.75 | 9337280.81 | 9179882.01 | 80 | |
| Comprehensive energy consumption density | Ton of standard coal/ RMB ten thousand | 2.88 | 2.36 | 2.17 | 80 | |
| Decrease in energy consumption per unit of revenue | % | 8.14 | 49 | |||
| Diesel consumption | Ton | 1533.57 | 1982.01 | 3180.31 | 80 | |
| Energy consumption per unit of revenue | tons of standard coal per million yuan | 2.17 | 49 | |||
| Gasoline consumption | Ton | 49.25 | 47.48 | 45.41 | 80 | |
| Hydrogen sales | million Nm³ | 9.3 | 48, 71 | |||
| Net purchased electricity | MWh | 801258.21 | 933756.03 | 1465659.66 | 80 | |
| Net purchased heat | GJ | 1267254.05 | 1173185.15 | -442735.25 | 80 | |
| Process energy consumption, Coke sector | kg standard coal/ton | 110 | 108.49 | 76 | ||
| Process energy consumption, Coke sector, industry standard admission level | kg standard coal/ton | 140 | 76 | |||
| Reduction of energy consumption at Tangshan Risun Chemical’s Hydrogen Production Plant | tonnes of standard coal/year | 1530 | 15 | |||
| Self-generated electricity | MWh | 1765468.05 | 80 | |||
| Urban centralized heating supply by Risun Dingzhou Base in 2023-2024 heating season | GJ | 620000 | 139 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2021-2025 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|
| Average waste water discharge density over the past three years | Ton/RMB 10 thousand | 1.49 | 86 | ||||
| Coke sector wastewater recovery rate | percent | more than 80 | 81 | ||||
| Fresh water consumption density | Ton/RMB 10 thousand | 7.1 | 6.46 | 9.88 | 89 | ||
| Fresh water consumption density (excluding new metrics) | Ton/RMB 10 thousand | 8.24 | 89 | ||||
| Fresh water utilization rate of all plants | 98% | 49 | |||||
| Highest fresh water utilization rate among plants | 98.7% | 49 | |||||
| Recycling of wastewater at Dingzhou Base | million tonnes | 1.752 | 15 | ||||
| Sewage discharge density | Ton/RMB 10 thousand | 1.47 | 1.4 | 1.58 | 86 | ||
| Total fresh water consumption | Ten thousand tons | 2579.73 | 2552.96 | 4178.71 | 89 | ||
| Total fresh water consumption (excluding new metrics) | Ten thousand tons | 3487.48 | 89 | ||||
| Total sewage discharge | Ton | 5354834.96 | 5550279.45 | 6697847.94 | 86 | ||
| Waste water discharge density increase/decrease | Percentage | 12.76 | 86 | ||||
| Water recycling rate (five-year goal) | % | greater than 98 | 88 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2021-2025 | 2023 | Report Pages |
|---|---|---|---|---|
| Automatic commissioning rate of chemical devices | % | 100 | 23 | |
| Automatic control rate for all chemical equipment and devices | 100% | 19 | ||
| Automatic control rate for all equipment and devices | 98% | 19 | ||
| Automatic control rate of all devices | % | over 98 | 23 | |
| Automation level of coking equipment | leading position in the industry | 23 | ||
| Number of educational training sessions on energy conservation and environmental protection | sessions | 60 | 21, 48, 52 | |
| Process energy consumption, Coke sector, five-year goal | kg standard coal/ton | < 115 | 76 |
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 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Proportion of regions subject to extremely high baseline water pressure | Percentage | 87.5 | 89 | |
| Proportion of regions subject to high baseline water pressure | Percentage | 12.5 | 89 | |
| Water recycling rate | % | 98.5 | 98.7 | 88 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of provincial-level scientific and technological progress awards | 6 | 9, 110 | |
| Number of trainees in educational training sessions on energy conservation and environmental protection | persons, trainees | 8414 | 21, 48, 52 |
| Provincial key laboratory | laboratory | 1 | 22 |
| Provincial new R&D institutions | institutions | 7 | 22 |
| Provincial technology innovation centers | centers | 3 | 22 |
| Total investment in sustainable development practices | million US dollars | 700 | 49 |
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 | 2023 | Report Pages |
|---|---|---|---|
| Annual investment in environmental protection | billion RMB, billion yuan | 2.51 | 9, 21 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|
| Employees with doctor’s degree | persons | 38 | 22 | ||||
| Employees with master’s degree | persons | 298 | 22 | ||||
| Labor contract signing rate of full-time employees | % | 100 | 23 | ||||
| Number of employees | 7601 | 23 | |||||
| Proportion of R&D personnel | % | 2.31 | 3.52 | 16 | |||
| Proportion of digital personnel | % | 0.79 | 0.88 | 16 | |||
| Proportion of doctoral talents | % | 0.07 | 0.37 | 16 | |||
| Proportion of international talents | % | 0.94 | 4.11 | 16 | |||
| Total assets | 367.8 | 461 | 538.4 | 7 | |||
| Total employees of Risun Group | 3836 | 4407 | 7678 | 7434 | 7601 | 16 | |
| Total number of contract labors | Person | 7601 | 123 | ||||
| Total number of employees | Person | 7601 | 123 | ||||
| Total number of employees above 50 years old | Person | 468 | 123 | ||||
| Total number of employees from 31 to 40 years old | Person | 3351 | 123 | ||||
| Total number of employees from 41 to 50 years old | Person | 1307 | 123 | ||||
| Total number of employees in Hebei Province | Person | 4780 | 123 | ||||
| Total number of employees in regions outside Hebei Province | Person | 2821 | 123 | ||||
| Total number of employees of ethnic minorities | Person | 194 | 123 | ||||
| Total number of employees under 30 years old | Person | 2475 | 123 | ||||
| Total number of employees with junior titles | Person | 1792 | 123 | ||||
| Total number of employees with medium titles | Person | 582 | 123 | ||||
| Total number of employees with senior titles | Person | 95 | 123 | ||||
| Total number of female employees | Person | 1326 | 123 | ||||
| Total number of male employees | Person | 6275 | 123 | ||||
| Total operating revenue | 100 million RMB | 393.7 | 431.4 | 460.7 | 6 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Annual turnover rate of regular employees | % | 19.67 | 124 |
| Turnover percentage of employees above 51 years old | % | 0.65 | 124 |
| Turnover percentage of employees from 31 to 40 years old | % | 5.37 | 124 |
| Turnover percentage of employees from 41 to 50 years old | % | 1.6 | 124 |
| Turnover percentage of employees in Hebei Province | % | 8.85 | 124 |
| Turnover percentage of employees outside Hebei Province | % | 10.83 | 124 |
| Turnover percentage of employees under 30 years old (inclusive) | % | 12.05 | 124 |
| Turnover percentage of female employees | % | 2.99 | 124 |
| Turnover percentage of male employees | % | 16.68 | 124 |
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 | 125 |
| Number of deaths due to work-related injuries | Person | 2 | 125 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Frequency of safety education and training | Times | 1346 | 262 | 102 |
| Frequency of safety emergency drills | Times | 4307 | 1354 | 102 |
| Number of persons participating in the safety education and training | Person | 105932 | 74939 | 102 |
| Number of persons participating in the safety emergency drill | Person | 76144 | 11782 | 102 |
| Occupational disease physical examination coverage rate | % | 100 | 23 | |
| Physical examination rate of employees | % | 100 | 23 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of bases and subsidiaries developing courses independently | bases and subsidiaries | 22 | 130 |
| Number of courses developed independently by Risun University | courses | 95 | 130 |
| Number of employees trained | Person | 370977 | 131 |
| Number of institutes set up by Risun University (Leadership, General Management, Professional Skill) | institutes | 3 | 130 |
| Number of offline training sessions conducted by Risun University | sessions | 18228 | 130 |
| Number of participants in offline training sessions by Risun University | participants | 351000 | 130 |
| Number of skill training and appraisal centers set up by Risun University | centers | 12 | 130 |
| Percentage of employees trained | % | 100 | 131 |
| Percentage of employees with junior titles trained | % | 100 | 131 |
| Percentage of employees with medium titles trained | % | 100 | 131 |
| Percentage of employees with senior titles trained | % | 100 | 131 |
| Percentage of female employees trained | % | 100 | 131 |
| Percentage of male employees trained | % | 100 | 131 |
| Provincial engineering technology R&D centers | centers | 3 | 22 |
| Provincial enterprise technology centers | centers | 8 | 22 |
| Researchers and developers as percentage of total employees | % | 3.52 | 22 |
| Researchers and developers with doctor’s degree | persons | 25 | 22 |
| Researchers and developers with doctor’s degree as percentage of researchers and developers | % | 6.96 | 22 |
| Researchers and developers with master’s degree | persons | 112 | 22 |
| Researchers and developers with master’s degree as percentage of researchers and developers | % | 31.2 | 22 |
| Total researchers and developers | persons | 359 | 22 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Average training hours of senior employees and above | hour/person | 51.78 | 131 |
| Average training time per employee | hour/person | 56.56 | 131 |
| Average training time per female employee | hour/person | 55.85 | 131 |
| Average training time per junior employee | hour/person | 57.01 | 131 |
| Average training time per male employee | hour/person | 57.27 | 131 |
| Average training time per middle-level employee | hour/person | 52.41 | 131 |
| Number of employee training sessions | 16712 | 23 | |
| Total hours of offline courses by Risun University | hours | 33921.1 | 130 |
| Total hours of online courses by Risun University | hours | 389865.28 | 130 |
| Total length of employee training | hours | 429891.41 | 23 |
| Total number of trainings | Times | 16712 | 131 |
| Total training hours of employees | Hour | 429891.41 | 131 |
| Total training hours of junior employees | Hour | 102165.05 | 131 |
| Total training hours of middle-level employees | Hour | 30501.2 | 131 |
| Total training hours of senior employees and above | Hour | 4919.31 | 131 |
| Training expense | RMB10000 | 66.44 | 131 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of suppliers in Central China | 340 | 115 | |
| Number of suppliers in East China | 591 | 115 | |
| Number of suppliers in North China | 995 | 115 | |
| Number of suppliers in Northeast China | 283 | 115 | |
| Number of suppliers in Northwest China | 157 | 115 | |
| Number of suppliers in South China | 302 | 115 | |
| Number of suppliers in Southwest China | 146 | 115 | |
| Percentage of suppliers in Central China | % | 12% | 115 |
| Percentage of suppliers in East China | % | 21% | 115 |
| Percentage of suppliers in North China | % | 35% | 115 |
| Percentage of suppliers in Northeast China | % | 10% | 115 |
| Percentage of suppliers in Northwest China | % | 6% | 115 |
| Percentage of suppliers in South China | % | 11% | 115 |
| Percentage of suppliers in Southwest China | % | 5% | 115 |
| Total number of suppliers | 2814 | 115 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of producers covered in the review | 2397 | 115 | |
| Number of producers having passed the ESG review | 2157 | 115 | |
| Percentage of producers covered in the review | % | 85% | 115 |
| Percentage of producers having passed the ESG review | % | 77% | 115 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Annual output of concentrated sulfuric acid from desulfurization waste liquid | tonnes | 36000 | 15 | ||
| Increase in efficiency of daily financial accounting | % | more than 50 | 23 | ||
| Increase in efficiency of in-plant logistics | % | over 50 | 23 | ||
| Increase in efficiency of weighing | % | 450 | 23 | ||
| Net income attributable to the parent company | 100 million RMB | 26.1 | 18.6 | 8.6 | 6 |
| Sales of hydrogen | million Nm³ | 9.3 | 21 | ||
| Total production capacity of high-purity hydrogen (Beijing-Tianjin-Hebei Region) | cubic meters per year | 56000000 | 13 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of digital projects completed | 98 | 23 | |
| Number of national, provincial, and municipal-level technological innovation achievements | 40 | 9, 110 | |
| Number of patents | 277 | 9 | |
| Number of property technologies granted | 529 | 9 | |
| Total patents granted | 277 | 22 | |
| Total propriety technologies granted | 529 | 22 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| National testing centers | centers | 3 | 22 |
| Reduction in manufacturing cost per tonne of major products due to automation and information | % | over 10 | 23 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Total investment in digital projects | billion RMB | 10.6 | 19, 23 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Total number of labor-related appeals filed through formal appeal mechanism | case | 2 | 124 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of anti-corruption training sessions conducted by position: Directors | Times | 18 | 45 |
| Number of anti-corruption training sessions conducted by position: Employees | Times | 47 | 45 |
| Number of anti-corruption training sessions conducted by position: Management | Times | 151 | 45 |
| Number of persons participating in anti-corruption training sessions by position: Directors | Person | 321 | 45 |
| Number of persons participating in anti-corruption training sessions by position: Employees | Person | 7552 | 45 |
| Number of persons participating in anti-corruption training sessions by position: Management | Person | 5230 | 45 |
| Total hours of anti-corruption training | Hour | 15.3 | 45 |
| Total number of anti-corruption training sessions | Times | 261 | 45 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of municipal-level scientific and technological progress awards | 11 | 9, 110 | |
| Number of provincial and municipal-level honors | 216 | 9 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Sustainable development credit approved | million US dollars | 700 | 21 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Ton | 166.26 | 184.87 | 191.1 |
| NOâ‚“ Emission Intensity (By Revenue) | kg/RMB 10 thousand | 0.32 | 0.29 | 0.3 |
| NOâ‚“ Emissions | Ton | 1173.69 | 1136.84 | 1256.29 |
| PM Emission Intensity (By Revenue) | kg/RMB 10 thousand | 0.05 | 0.05 | 0.05 |
| SOâ‚“ Emission Intensity (By Revenue) | kg/RMB 10 thousand | 0.08 | 0.1 | 0.12 |
| SOâ‚“ Emissions | Ton | 296.6 | 380.71 | 497.06 |
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 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons of CO2e | 3824537.41 | 4386131.17 | 7789855.81 |
| Indirect Energy Emissions (Scope 2) | tons of CO2e | 597590.37 | 661571.43 | 787487.53 |
| Total GHG Emissions | tons of CO2e | 4422127.78 | 5047702.61 | 8577343.34 |
| Total GHG Emissions Intensity (By Revenue) | Ton of CO2e/RMB 10 thousand | 1.22 | 1.28 | 2.03 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Disposal Rate of Hazardous Waste | % | 100 | 100 | 100 |
| Total Hazardous Waste | Ton | 245550.13 | 308742.74 | 332969.52 |
| Total Hazardous Waste Intensity (By Revenue) | Ton/RMB 10 thousand | 0.07 | 0.08 | 0.08 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | Ton | 320266.02 | 343112.98 | 555385.12 |
| Total Non-Hazardous Waste Intensity (By Revenue) | Ton/RMB 10 thousand | 0.09 | 0.09 | 0.13 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| CO2 Emissions Reduction Compared to Last Year | million tonnes | 3.78 |
| NOx Emissions Reduction Compared to Last Year | tons | 188 |
| NOx Emissions Reduction Percentage Compared to Last Year | percent | 30 |
| PM Emissions Reduction Percentage Compared to Last Year | percent | 3.41 |
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 | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | Ton of standard coal/ RMB ten thousand | 2.88 | 2.36 | 2.17 |
| Diesel Fuel Consumption | Ton | 1533.57 | 1982.01 | 3180.31 |
| Energy Consumption Intensity (By Revenue) | Ton of standard coal/ RMB ten thousand | 2.88 | 2.36 | 2.17 |
| Fossil Fuel Consumption | Ton | 7961688.16 | 7882441.98 | 11660898.69 |
| Gasoline Consumption | Ton | 49.25 | 47.48 | 45.41 |
| Purchased Electricity | MWh | 801258.21 | 933756.03 | 1465659.66 |
| Purchased Heating | GJ | 1267254.05 | 1173185.15 | -442735.25 |
| Total Energy Consumption | Ton of standard coal | 10475170.75 | 9337280.81 | 9179882.01 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Recycled Water Percentage | % | 98.5 | 98.7 | |
| Total Water Withdrawal | Ten thousand tons | 2579.73 | 2552.96 | 3487.48 |
| Wastewater Discharge Intensity | Ton/RMB 10 thousand | 1.47 | 1.4 | 1.58 |
| Water Consumption Intensity (By Revenue) | Ton/RMB 10 thousand | 7.1 | 6.46 | 8.24 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 12960000 |
| Energy Consumption Reduction Compared to Last Year | metric tons standard coal equivalent | 84600 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Investment in Ecological Restoration | million US dollars | 700 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Investment in Climate Change Management | billion RMB | 2.51 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Doctoral Degree Employees | person | 38 |
| Number of Employees Aged 30-50 | person | 4658 |
| Number of Employees Aged Above 50 | person | 468 |
| Number of Employees Aged Below 30 | person | 2475 |
| Number of Female Employees | person | 1326 |
| Number of Full-time Employees | person | 7601 |
| Number of Male Employees | person | 6275 |
| Number of Master's Degree Employees | person | 298 |
| Number of Total Employees | person | 7601 |
| Percentage of Employees Aged 30-50 | % | 61.27 |
| Percentage of Employees Aged Above 50 | % | 6.16 |
| Percentage of Employees Aged Below 30 | % | 32.56 |
| Percentage of Female Employees | % | 17.46 |
| Percentage of Full-time Employees | % | 100 |
| Percentage of Male Employees | % | 82.54 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 6.97 |
| Turnover Rate of Employees Aged Above 50 | % | 0.65 |
| Turnover Rate of Employees Aged Below 30 | % | 12.05 |
| Turnover Rate of Female Employees | % | 2.99 |
| Turnover Rate of Male Employees | % | 16.68 |
| Turnover Rate of Total Employees | % | 19.67 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | Person | 2 |
| Number of Work-related Fatalities | Person | 2 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Health Check Coverage for Employees | % | 100 | |
| Number of People Receiving Training on Work Safety | Person | 105932 | 74939 |
| Number of Production Safety Emergency Drills | Times | 4307 | 1354 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| 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 | 2023 |
|---|---|---|
| Average Training Hours (Female) | hour/person | 55.85 |
| Average Training Hours (General Staff) | hour/person | 57.01 |
| Average Training Hours (Male) | hour/person | 57.27 |
| Average Training Hours (Middle Management) | hour/person | 52.41 |
| Average Training Hours (Senior Management) | hour/person | 51.78 |
| Average Training Hours per Employee | hour/person | 56.56 |
| Total Training Hours | hours | 429891.41 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Suppliers in Central China | 340 | |
| Number of Suppliers in East China | 591 | |
| Number of Suppliers in North China | 995 | |
| Number of Suppliers in Northeast China | 283 | |
| Number of Suppliers in Northwest China | 157 | |
| Number of Suppliers in South China | 302 | |
| Number of Suppliers in Southwest China | 146 | |
| Number of Total Suppliers | 2814 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | 2397 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Accumulative Number of Patents Granted | Number of patents | 529 |
| Number of Patents Granted | Number of patents | 277 |
Description of quality assurance process and recall procedures.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Passing Rate of Third-party Accreditation Performed under the Quality Management System | % | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Number of Anti-corruption Training Session | Times | 261 |
| Number of Directors and Management Attendance for Anti-corruption Training | Person | 5551 |
| Number of General Employees Attendance for Anti-corruption Training | Person | 7552 |
| Number of People Participated in Ethical Standards and Anti-corruption Training | Person | 13103 |
| Total Hours of Anti-corruption Training | Hour | 15.3 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit |
|---|---|
| Total Public Welfare Donations | RMB |