2020 Environmental, Responsibility and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Chemical oxygen demand (10 thousand tonnes) | 10 thousand tonnes | 0.083 | 0.09 | 0.086 | 96 |
Emission of coal gangue (10 thousand tonnes) | 10 thousand tonnes | 2242.29 | 2021.53 | 2429.44 | 96 |
Gas extracted at Baode Coal Mine | million m³ | 35.23 | 66 | ||
Mine gas drainage | tonnes | 27231 | 25252 | 62 | |
Temperature for unmanned grouping operation project of large-scale mining dump trucks | degrees Celsius | -50 | 45 | ||
Total NOx emission (10 thousand tonnes) | 10 thousand tonnes | 3.86 | 3.48 | 3.26 | 95 |
Total SO2 emission (10 thousand tonnes) | 10 thousand tonnes | 1.96 | 1.5 | 1.16 | 95 |
Total emission of NOx from thermal power generation (10 thousand tonnes) | 10 thousand tonnes | 3.82 | 2.02 | 1.87 | 95 |
Total emission of SO2 from thermal power generation (10 thousand tonnes) | 10 thousand tonnes | 1.85 | 1.04 | 0.89 | 95 |
Total emission of soot (10 thousand tonnes) | 10 thousand tonnes | 0.703 | 0.43 | 0.222 | 95 |
Total emission of soot from thermal power generation (10 thousand tonnes) | 10 thousand tonnes | 0.289 | 0.179 | 0.147 | 95 |
dust emission performance (atmospheric emissions performance) | g/kWh | 0.0104 | 0.0121 | 0.0108 | 71 |
emission of dust (total atmospheric emissions) | 10000 tonnes | 0.289 | 0.179 | 0.147 | 71 |
emission of nitrogen dioxide (total atmospheric emissions) | 10000 tonnes | 3.82 | 2.02 | 1.87 | 71 |
emission of sulfur dioxide (total atmospheric emissions) | 10000 tonnes | 1.85 | 1.04 | 0.89 | 71 |
nitrogen dioxide emission performance (atmospheric emissions performance) | g/kWh | 0.14 | 0.14 | 0.14 | 71 |
sulfur dioxide emission performance (atmospheric emissions performance) | g/kWh | 0.07 | 0.07 | 0.065 | 71 |
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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Carbon emission intensity | tonnes of CO2 eq/RMB 10000 output value | 13.67 | 11.1 | 9.35 | 62 |
Carbon emissions - Carbon capture technology | High | 104 | |||
Carbon emissions - Energy use management and energy efficiency improvement | Medium | 104 | |||
Carbon emissions - Other carbon reduction measures (such as carbon compensation) | High | 104 | |||
Carbon emissions - Using clean energy | High | 104 | |||
Carbon emissions reduction by Xinshuo Railway | tonnes | 12000 | 75 | ||
Emission intensity (10 thousand tonnes of CO2 equivalent/RMB10000 output value) | 10 thousand tonnes/RMB10000 | 13.67 | 11.1 | 9.35 | 95 |
Performance of NOx emission from thermal power generation (g/kWh) | g/kWh | 0.14 | 0.14 | 0.14 | 95 |
Performance of SO2 emission from thermal power generation (g/kWh) | g/kWh | 0.07 | 0.07 | 0.065 | 95 |
Performance of soot emission from thermal power generation (g/kWh) | g/kWh | 0.0104 | 0.0121 | 0.0108 | 95 |
Scope 1 emission (10 thousand tonnes of CO2 equivalent) | 10 thousand tonnes | 24577 | 15151 | 12668 | 95 |
Scope 2 emission (10 thousand tonnes of CO2 equivalent) | 10 thousand tonnes | 489 | 589 | 822 | 95 |
Total carbon emission | 10000 tonnes of CO2 eq | 25066 | 24577 | 22668 | 62 |
Total emission (10 thousand tonnes of CO2 equivalent) | 10 thousand tonnes | 25066 | 15741 | 13490 | 95 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Fly ash production volume | 10 thousand tonnes | 562.59 | 703.93 | 73 | |
Gangue production volume | 10 thousand tonnes | 2021.53 | 3683.49 | 73 | |
Hazardous waste production - Asbestos waste | tonne | 100 | 72 | ||
Hazardous waste production - waste catalysts | tonne | 1711.52 | 72 | ||
Hazardous waste production - waste engine oil | tonne | 2721.06 | 72 | ||
Hazardous waste production - waste resin | tonne | 76.35 | 72 | ||
Hazardous wastes emissions per RMB10000 output value (kg/RMB10000) | kg/RMB10000 | 0.081 | 0.3324 | 0.3196 | 96 |
Total amount of hazardous waste produced | tonne | 1477.94 | 2176.16 | 2806.66 | 73 |
Total emission of hazardous wastes (tonne) | tonne | 1477.94 | 5483.49 | 4608.93 | 96 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Emission volume of harmless solid wastes (10 thousand tonnes) | 10 thousand tonnes | 2185.84 | 2176.16 | 2806.66 | 96 |
Fly ash utilization rate | 86.82% | 71.16% | 73 | ||
Fly ash utilization volume | 10 thousand tonnes | 488.47 | 500.95 | 73 | |
Gangues utilization rate | 43.62% | 34.05% | 73 | ||
Gangues utilization volume | 10 thousand tonnes | 1564.07 | 1254.05 | 73 | |
Harmless solid wastes emissions per RMB10000 output value (tonne/RMB10000) | tonne/RMB10000 | 1.2 | 1.5 | 2 | 96 |
Integrated utilization of coal gangue (10 thousand tonnes) | 10 thousand tonnes | 1163.02 | 1564.07 | 1254.05 | 96 |
Overall sewage and wastewater recycle rate | % | 79.43 | 83.2 | 74.84 | 69 |
Total amount of general waste discharged | 10 thousand tonnes | 2185.84 | 5483.49 | 4608.93 | 73 |
Total sewage and wastewater production | million tonnes | 170.85 | 154.48 | 168.74 | 69 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | 2025 | Report Pages |
---|---|---|---|---|
Carbon emissions - Company set aggressive emission reduction targets | Medium | 104 | ||
Carbon emissions - Outstanding performance in achieving carbon reduction targets | High | 104 | ||
Carbon emissions - Participate in CDP | High | 104 | ||
Emission performance of thermal power dust (reduction target from 2020 base year) | g/kwh | reduce by 3% | 70 | |
Emission performance of thermal power nitrogen dioxide (reduction target from 2020 base year) | g/kwh | reduce by 2% | 70 | |
Emission performance of thermal power sulfur dioxide (reduction target from 2020 base year) | g/kwh | reduce by 2% | 70 | |
Hazardous emissions and wastes - Disclosure of progress in achieving hazardous gas emission targets | Medium | 104 |
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 | 2020 | Report Pages |
---|---|---|---|
Dump rehabilitation rate for open-pit mines | % | 94.69 | 78 |
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 | 2018 | 2019 | 2020 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Coal consumption for electricity generation (g/kWh) | g/kWh | 308 | 307 | 307 | 96 | |
Coal consumption for power supply (g/kwh) | reduce by 1% from 2020 | 74 | ||||
Comprehensive energy consumption | 10 thousand tonnes of standard coal | 4958.44 | 4394.49 | 4324.04 | 75 | |
Comprehensive energy consumption (10 thousand tonnes of standard coal) | 10 thousand tonnes of standard coal | 4958.44 | 4394.49 | 4324.04 | 96 | |
Comprehensive energy consumption per RMB10 thousand output value | tonne/RMB 10000 | 2.72 | 2.96 | 3.05 | 75, 96 | |
Comprehensive energy consumption per RMB10000 output value (tonne of standard coal/RMB10000) | reduce by 0.8% from 2020 | 74 | ||||
East Lake storage capacity (Shengli Energy) | cubic meters | 130000 | 69 | |||
Electricity generated | billion kWh | 136.33 | 42 | |||
Gas utilized at Baode Coal Mine | million m³ | 29.91 | 66 | |||
Heat generated | million GJ | 39.038 | 42 | |||
Installed emergency electric boilers at Shigetai Coal Mine | sets | 19 | 64 | |||
Installed steam tube and shell heat exchangers at Shigetai Coal Mine | sets | 29 | 64 | |||
Installed ultra-low temperature air source heat pump units at Shigetai Coal Mine | sets | 48 | 64 | |||
Mine gas utilization | tonnes | 20256 | 21439 | 62 | ||
Number of unmanned mining dump trucks in operation at Open-pit Coal Mine of Shenbao Energy | trucks | 5 | 45 | |||
Total electricity consumption (100 million kWh) | 100 million kWh | 226.61 | 173.04 | 169.06 | 96 | |
Total electricity consumption (Indirect energy) | 100 million Kwh | 226.61 | 173.04 | 169.06 | 75 | |
Total natural gas consumption (100 million m³) | 100 million m³ | 11.79 | 8.44 | 8.41 | 96 | |
Total natural gas consumption (Direct Energy) | 100 million m³ | 11.79 | 8.44 | 8.41 | 75 | |
Total oil consumption (10 thousand tonnes) | 10 thousand tonnes | 35.91 | 38.32 | 39.88 | 96 | |
Total oil consumption (Direct Energy) | 10 thousand tonnes | 35.91 | 38.32 | 39.88 | 75 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Consumption of recycled water and other alternative water sources as percentage of total water consumption | % | 17 | 76 | ||
Domestic sewage production volume | million tonnes | 8.2 | 10.75 | 68 | |
Domestic sewage utilization rate | 56% | 63% | 68 | ||
Domestic sewage utilization volume | million tonnes | 4.56 | 6.75 | 68 | |
Fresh water consumption | million tonnes | 132.3 | 130.89 | 77 | |
Industrial wastewater production volume | million tonnes | 21.48 | 25.17 | 68 | |
Industrial wastewater utilization rate | 83% | 80% | 68 | ||
Industrial wastewater utilization volume | million tonnes | 17.74 | 20.23 | 68 | |
Integrated utilization rate of sewage water (%) | % | 79.43 | 83.2 | 74.84 | 96 |
Land surface water consumption | million tonnes | 106.48 | 92.93 | 77 | |
Mine (pit) water production volume | million tonnes | 124.8 | 132.82 | 68 | |
Mine (pit) water utilization rate | 85% | 75% | 68 | ||
Mine (pit) water utilization volume | million tonnes | 106.21 | 99.29 | 68 | |
Mine water recycle rate at Yushen Energy coal mines | 100% | 70 | |||
Other water (such as desalinated water) consumption | million tonnes | 4.33 | 15.13 | 77 | |
Overall sewage and wastewater utilization rate | % | 74.84 | 67 | ||
Recycled water (reclaimed water) consumption | million tonnes | 43.05 | 11.22 | 77 | |
Sewage and wastewater generation volume (million tonnes) | million tonnes | 170.85 | 154.48 | 168.74 | 96 |
Tap water consumption | million tonnes | 20.2 | 35.31 | 77 | |
Total fresh water | million tonnes | 169.31 | 132.3 | 130.89 | 97 |
Total water consumption | million tonnes | 252.3 | 179.68 | 157.24 | 77, 97 |
Underground water consumption | million tonnes | 5.62 | 2.65 | 77 | |
Water consumption per RMB10 thousand output value | tonne/RMB10000 | 13.84 | 11.49 | 10.68 | 77, 97 |
West Lake storage capacity (Shengli Energy) | cubic meters | 270000 | 69 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Coal consumption for power supply reduction at Guohua Power | g/kWh | 1.4 | 65 | ||
Coal consumption reduction by Fujian Energy | 4.35g/Kwh | 75 | |||
Coal consumption reduction by Xinshuo Railway | tonnes | 6000 | 75 | ||
Mechanization rate of coal mining and excavation (%) | % | 99.34 | 100 | 100 | 98 |
Percentage of mechanisation rate of coal mining and tunneling | 100% | 50 | |||
Raw coal saved by gas power generation and heat supply at Baode Coal Mine | tonnes | 30000 | 66 | ||
Supercritical units put into operation to improve operational efficiency and reduce energy consumption | MW | 660 | 64 |
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 | 2018 | 2019 | 2020 | 2025 | Report Pages |
---|---|---|---|---|---|---|
CDP Water Security questionnaire rating | B | 67 | ||||
Utilization rate of industrial wastewater (%) | % | 85.56 | 82.58 | 80.38 | 96 | |
Utilization rate of sewage water (target increase over 2020 base year by 2025) | % | 5 | 76 | |||
Utilization rate of underground mine water (%) | % | 83.22 | 85.11 | 74.76 | 96 | |
Utilization volume of sewage and wastewater (million tonnes) | million tonnes | 135.7 | 128.52 | 126.27 | 96 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
2020 ESG Rating of Petrochemical Industry Listed Companies in the PRC | AAA (Top of the List) | 10 | |||
Accumulated rehabilitation area of waste dump in open-pit coal mine | 10 thousand m² | 1840.52 | 78 | ||
Accumulated subsidence treatment area | 10 thousand m² | 14506.82 | 78 | ||
Annual new land rehabilitation area of open pit mine | 10 thousand m² | 307.85 | 78 | ||
Annual new land treatment area of mine subsidence area | 10 thousand m² | 4171.89 | 78 | ||
Area covered by ecological restoration projects | square kilometers | 45 | 80 | ||
Ballast water recovered by Tianjin Coal Dock | tonnes | 260000 | 69 | ||
Biodiversity and land use - Biodiversity impact assessment before the project | High | 104 | |||
Biodiversity and land use - Disclosure of projects to protect the natural ecological environment | High | 104 | |||
Biodiversity and land use - Formulate policies for sustainable management of natural resources and raw materials | High | 104 | |||
Biodiversity and land use - Formulate policies on land destruction | High | 104 | |||
Biodiversity and land use - Formulate policies to minimize interference in business and operation | High | 104 | |||
Biodiversity and land use - Restoration or repair of disturbed areas through continuous operations | High | 104 | |||
Carbon sink conversion volume of newly increased green area | 10 thousand tonnes | 114.87 | 53.97 | 39.72 | 67 |
Demonstration area built for ecological restoration of coal-fired power base in Eastern Grassland Area of Shengli Energy | mu | 8324.1 | 79 | ||
Hazardous emissions and wastes - Evidence of annual compliance audit | High | 104 | |||
Hazardous emissions and wastes - Evidence of audit at all operating locations | High | 104 | |||
Hazardous emissions and wastes - Evidence of regular environmental impact audit | High | 104 | |||
Hazardous emissions and wastes - With EMS management system (such as ISO14001) | High | 104 | |||
Investment in ecological construction | RMB100 million | 4.7 | 5.01 | 7.54 | 97 |
Investment in environmental protection | RMB100 million | 14.22 | 14.24 | 20.99 | 97 |
New afforestation area | 10 thousand m³ | 3133 | 1472 | 1083 | 97 |
Newly afforested area | 10 thousand square meters | 3133 | 1472 | 1083 | 67 |
Number of China Shenhua coal mines in provincial/district green mine list | mines | 5 | 66 | ||
Number of China Shenhua coal mines recorded in the national green mine list | mines | 15 | 66 | ||
Number of ecological restoration projects arranged by Shendong Coal | projects | 69 | 80 | ||
Number of enterprises with ISO50001 system certification | enterprises | 5 | 57 | ||
Number of member enterprises with ISO14001 certification of environmental management system | enterprises | 6 | 57 | ||
Number of mining areas rated as high-yield and efficient mining areas | mining areas | 5 | 50 | ||
Number of plant species (after restoration) | species | 100 | 80 | ||
Number of plant species (before restoration) | species | 16 | 80 | ||
Pollution control funds invested | million RMB | 996 | 67 | ||
Promise not to work in the reserve | High | 105 | |||
Total ecological area treated by the company | square kilometers | 376 | 80 | ||
Treatment rate of subsided land | % | 41.97 | 78 | ||
Vegetation coverage rate increase | percentage | from 39% to more than 64% | 80 | ||
Vegetation coverage rate increase in demonstration area compared with 2017 (Eastern Grassland Area of Shengli Energy) | % | 35 | 79 | ||
Waste land reclaimed, afforested or effectively utilized in demonstration area (Eastern Grassland Area of Shengli Energy) | % | >96 | 79 | ||
Water pressure - CEO is responsible for water management strategy and performance | High | 104 | |||
Water pressure - CSR or Sustainable Development Committees are responsible for water management strategy and performance | High | 104 | |||
Water pressure - Evidence of the use of alternative water sources | High | 104 | |||
Water pressure - Senior Executive or Executive Committee are responsible for water management strategy and performance | High | 104 |
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 | 2020 | Report Pages |
---|---|---|---|
CDP Climate Change questionnaire rating | D | 67 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Board meetings | 7 | 20 | |||
Board of Directors | High | 105 | |||
Employee productivity (profit before tax/total number of employee) | 10 thousand/person | 77.92 | 87 | ||
Employment stock ownership plan or employment stock purchase plan | Medium | 105 | |||
Evidence of collective agreement | High | 105 | |||
Local employment | High | 105 | |||
Non-compensatory benefits, including pension and retirement benefits | High | 105 | |||
Number of employee representative Supervisors in Supervisory Committee | 1 | 22 | |||
Ownership and Control | High | 105 | |||
Pay policy based on performance | High | 105 | |||
Percentage of labor force covered by trade union/collective agreement disclosed | High | 105 | |||
Proportion of employed professional and technical personnel | % | 14.34 | 87 | ||
Remuneration | Medium | 105 | |||
Shareholding proportion of controlling shareholders at the end of the period (%) | % | 73.06 | 69.45 | 69.45 | 98 |
Total assets | billion RMB | 562.9 | 8 | ||
Total number of employed professional and technical personnel | person | 10927 | 87 | ||
Total number of employees | persons | 86856 | 75620 | 76182 | 8, 83, 97 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Turnover of cargo transportation provided to external customers | billion tonne kilometers | 27.8 | 42 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|---|
Additional employees with occupational disease | cases | 19 | 54 | 11 | 97 | |||
Death of employees | 4 | 2 | 1 | 51 | ||||
Death ratio of employees (person/hundred persons) | person/hundred persons | 0.0046 | 0.0013 | 0.0002 | 51 | |||
Mortality rate per million tonnes of raw coal production - China Shenhua | per million tonnes | 0.003 | 0.0126 | 0.0034 | 51 | |||
Mortality rate per million tonnes of raw coal production - Domestic coal | per million tonnes | 0.181 | 0.156 | 0.106 | 0.093 | 0.083 | 0.058 | 51 |
New occupational diseases (case) | case | 11 | 53 | |||||
Number of serious accidents and above | 1 | 98 | ||||||
Total recordable injury rate (%) | % | 0.2 | 53 |
Lost days due to work injury.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Days of work suspended due to occupational diseases | days | 10961.1 | 52 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2018-2019 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Capital investment in occupational health | RMB100 million | 3.06 | 6.52 | 6.75 | 97 | |
Certification and evidence of occupational health and safety | High | 105 | ||||
Employee health examination coverage (%) | % | 100 | 53 | |||
First-level compliance units in safety production | 14 | 18 | 7 | 98 | ||
Goal of improving H & S performance | Medium | 105 | ||||
H&S policy applies to contractors | High | 105 | ||||
H&S policy covers all dimensions | High | 105 | ||||
Investment in safety production (RMB100 million) | RMB100 million | 54.46 | 42.89 | 38.15 | 98 | |
Number of coal mines awarded Special-grade Safe and Efficient Coal Mine | mines | 22 | 6 | |||
Number of companies with ISO45001/OSHAS18001 certification | company | 1 | 57 | |||
Number of super-safe and efficient mines | 17 | 20 | 22 | 98 | ||
Number of tonnes heavy-haul trains inspected for hazards of level crossing | tonnes | 20000 | 50 | |||
Number of tonnes steep ramp operation inspected for hidden dangers | tonnes | 10000 | 50 | |||
Occupational health investment (RMB million) | RMB million | 675 | 53 | |||
Safety production input (RMB million) | RMB million | 3815 | 53 | |||
Strategy and performance of occupational health and safety managed by Sustainable Development Committee or H & S team or risk leader | High | 105 | ||||
Total number of work-related injuries (person) | person | 149 | 53 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Capital investment in research and development (RMB100 million) | RMB100 million | 8.6 | 12.45 | 21.49 | 98 |
Employee training (number of employees) | employees | 74784 | 87 | ||
Number of mental health lectures and mental quality development courses organized by Shengli Energy | sessions | 4 | 88 | ||
Number of participants in special training sessions at China Shenhua Headquarters | participants | 1623 | 86 | ||
Persons received training - Female employees | person | 13695 | 87 | ||
Persons received training - General staff | person | 71274 | 87 | ||
Persons received training - Male employees | person | 61089 | 87 | ||
Persons received training - Middle management | person | 3303 | 87 | ||
Persons received training - Senior management | person | 220 | 87 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of special training sessions held by China Shenhua Headquarters | sessions | 12 | 86 |
Total training hours | hours | 6702074.98 | 87 |
Training hours - Female employees | hours | 1136497.13 | 87 |
Training hours - General staff | hours | 6328096.87 | 87 |
Training hours - Male employees | hours | 5565577.85 | 87 |
Training hours - Middle management | hours | 341134.64 | 87 |
Training hours - Senior management | hours | 32843.27 | 87 |
Training hours per capita | hours | 89.6 | 87 |
Description of measures to review employment practices to avoid child and forced labour.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Human rights policy | High | 105 | |
Violence and conflict policy | Medium | 105 |
Description of steps taken to eliminate such practices when discovered.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Companies monitor the effectiveness of their human rights policies | High | 105 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of compliance suppliers (Asia excluding China) | 37 | 30 | |||
Number of compliance suppliers (China excluding Hong Kong, Macau and Taiwan areas) | 115223 | 30 | |||
Number of compliance suppliers (Europe) | 29 | 30 | |||
Number of compliance suppliers (Hong Kong, Macau and Taiwan areas) | 68 | 30 | |||
Number of compliance suppliers (North America) | 11 | 30 | |||
Number of compliance suppliers (Oceania) | 3 | 30 | |||
Total market value | billion USD | 52.3 | 8 | ||
Total suppliers (ten thousand ones) | ten thousand ones | 6.4 | 9.3 | 11.5 | 98 |
purchased and delivered books | 26162 | 92 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Local procurement policy | High | 105 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of on-site inspections and investigations organised | more than 10 | 50 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Customer satisfaction of commercial coal - Customer service attitude (Direct sales) | % | 100% | 43 |
Customer satisfaction of commercial coal - Customer service attitude (Launch sales) | % | 98.4% | 43 |
Customer satisfaction of commercial coal - Fulfillment of contract (Direct sales) | % | 96.7% | 43 |
Customer satisfaction of commercial coal - Fulfillment of contract (Launch sales) | % | 93% | 43 |
Customer satisfaction of commercial coal - Logistics - Planned connection (Direct sales) | N/A | 43 | |
Customer satisfaction of commercial coal - Logistics - Planned connection (Launch sales) | % | 93.2% | 43 |
Customer satisfaction of commercial coal - Logistics - Quasi liner service (Direct sales) | N/A | 43 | |
Customer satisfaction of commercial coal - Logistics - Quasi liner service (Launch sales) | % | 93.2% | 43 |
Customer satisfaction of commercial coal - Logistics - Self-owned port operation service (Direct sales) | N/A | 43 | |
Customer satisfaction of commercial coal - Logistics - Self-owned port operation service (Launch sales) | % | 88.2% | 43 |
Customer satisfaction of commercial coal - Logistics - Turn time (Direct sales) | N/A | 43 | |
Customer satisfaction of commercial coal - Logistics - Turn time (Launch sales) | % | 70.9% | 43 |
Customer satisfaction of commercial coal - Pricing (Direct sales) | % | 94% | 43 |
Customer satisfaction of commercial coal - Pricing (Launch sales) | % | 87.3% | 43 |
Customer satisfaction of commercial coal - Product (Direct sales) | % | 100% | 43 |
Customer satisfaction of commercial coal - Product (Launch sales) | % | 97.6% | 43 |
Number of complaints received about products and services | 13 | 42 | |
Resolutions approved | 72 | 20 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Accumulated number of authorised patents | items | 5261 | 46 | ||
Accumulated number of patents | items | 1163 | 46 | ||
Company ranking among PRC enterprises by Platts | rank | 2 | 6 | ||
Company ranking among Top 250 Global Energy Companies | rank | 10 | 6 | ||
Number of authorisations for patents during the year | items | 915 | 46 | ||
Number of invention patents obtained | 113 | 155 | 198 | 98 | |
Number of newly added applications for patents | items | 704 | 46 | ||
Number of patents invented during the year | items | 198 | 46 | ||
Number of patents obtained | 581 | 556 | 915 | 98 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
No.6 on the List of Substantial Returns of Listed Companies | rank | 6 | 10 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of information disclosure documents released | 222 | 211 | 382 | 98 |
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 | 2019–2020 | 2020 | Report Pages |
---|---|---|---|---|
Business ethics policy covering contract security providers | Medium | 105 | ||
Class A Evaluation on Information Disclosure of Listed Companies on the Main Board of SSE | Class A | 10 | ||
Executive body responsible for managing business ethics and corruption issues | High | 105 | ||
Material litigations and arbitrations involvement | None | 22 | ||
Number of Supervisory Committee meetings convened | 5 | 22 | ||
Number of matters considered by related party transaction team | matters | 39 | 23 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Annual audit rate for legal audits | 100% | 22 | |||
Anti-corruption and fraud policy system | High | 105 | |||
Audit | High | 105 | |||
External auditing expenses (RMB million) | RMB million | 10.5 | 8.55 | 8.55 | 98 |
Localization policy | High | 105 | |||
Number of Party committee meetings organised | meetings | 25 | 28 | ||
Number of Supervisors in Supervisory Committee | 3 | 22 | |||
Number of issues reviewed by Party committee | issues | 284 | 28 | ||
Number of legal audits regulated (major operational decisions, economic contracts, and regulatory system) | 3 | 22 | |||
Number of members of the Board concurrently serving as CEO of other companies (personnel) | 1 | 98 | |||
Number of pre-settlement matters reviewed by Party committee | matters | 166 | 28 | ||
Number of related party transaction team meetings convened | meetings | 8 | 23 | ||
Regular business ethics audit | Medium | 105 | |||
Special committee meetings | 16 | 20 | |||
Whistleblower protection policy and its practice | High | 105 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Hours of training in integrity education for Directors | hours | 31 | 20 | ||
Number of directors, supervisors and senior executives received anti-corruption training | persons | 26 | 27 | ||
Number of employees received anti-corruption training | persons | 57541 | 27 | ||
Number of financial experts in Audit Committee (personnel) | 2 | 2 | 1 | 98 | |
Number of management from subsidiaries and branches received anti-corruption training | persons | 228 | 27 | ||
Number of other employees received anti-corruption training | persons | 57287 | 27 | ||
Scope of staff ethics training | Medium | 105 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Actions to support local community development | High | 105 | ||||
Community impact assessment before entering the community | High | 105 | ||||
Donations to society | RMB million | 460 | 279 | 178 | 97 | |
Dust-free teaching blackboards installed for 24 primary and secondary schools in Mizhi County | sets | 596 | 93 | |||
Investment in construction of standardized library in Abu Zelu Primary School | RMB | 300000 | 93 | |||
Investment in purchase of spring and winter school uniforms for Abu Zelu Primary School | RMB | 852000 | 93 | |||
Local community participation | High | 105 | ||||
Number of extremely poor Baoshen Railway employees assisted and consoled | employees | 15 | 88 | |||
Number of poor Baoshen Railway employees assisted and consoled | employees | 16 | 88 | |||
Number of scientific projects approved by the headquarter | 134 | 69 | 105 | 98 | ||
Second New Fortune Best Listed Company | rank | 2 | 10 | |||
Sixth 'National Modern Unit' | rank | 6 | 10 | |||
Teaching materials purchased for primary and middle school students in the county | sets | 43957 | 93 | |||
Total investment to help local development (as of 31 December 2020) | million RMB | 33.42 | 16 | |||
benefited newborns | 13590 | 92 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | 2018 | 2018-2019 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|
Accumulated cash dividend | RMB million | 239975 | 265036 | 300998 | 97 | ||
Baoshen Railway consolation fund distributed | RMB | 138000 | 88 | ||||
Investment in Abu Zelu Primary School by Sichuan Energy | RMB | 11890000 | 93 | ||||
Local jobs provided (as of 31 December 2020) | jobs | 7000 | 16 | ||||
Medical equipment purchased for local hospital in Wubao County | yuan | 13805000 | 93 | ||||
Number of Baoshen Railway employees assisted and consoled | employees | 31 | 88 | ||||
Number of China Shenhua volunteers | volunteers | 9668 | 91 | ||||
Number of books distributed for study and learning activities | books | 2191 | 28 | ||||
Social contributions per share (Chinese Accounting Standards) | RMB/share | 6.648 | 5.95 | 5.69 | 97 | ||
Social contributions per share (International Financial Reporting Standards) | RMB/share | 6.661 | 5.87 | 5.52 | 97 | ||
Volunteer Service time | hours | 48412.5 | 91 | ||||
children with sickness were funded | 954 | 92 | |||||
funded schools to develop health education system | 13 | 92 | |||||
funded schools to improve school conditions | 17 | 92 | |||||
schools was aided to equip with digital book reading system | 9 | 92 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Airborne Particulate Matter (PM) Emissions | 10 thousand tonnes | 0.703 | 0.43 | 0.222 |
NOₓ Emissions | 10 thousand tonnes | 3.86 | 3.48 | 3.26 |
SOₓ Emissions | 10 thousand tonnes | 1.96 | 1.5 | 1.16 |
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 | 2018 | 2019 | 2020 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | 10 thousand tonnes CO2 eq | 24577 | 15151 | 12668 |
Indirect Energy Emissions (Scope 2) | 10 thousand tonnes CO2 eq | 489 | 589 | 822 |
Total GHG Emissions | 10 thousand tonnes CO2 eq | 25066 | 24577 | 22668 |
Total GHG Emissions Intensity (By Revenue) | tonnes CO2 eq/RMB 10000 output value | 13.67 | 11.1 | 9.35 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Hazardous Waste | tonne | 1477.94 | 2176.16 | 2806.66 |
Total Hazardous Waste Intensity (By Revenue) | kg/RMB10000 | 0.081 | 0.3324 | 0.3196 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Non-Hazardous Waste Intensity (By Revenue) | tonne/RMB10000 | 1.2 | 1.5 | 2 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2025 |
---|---|---|
Dust Reduction Compared to Last Year | % | 3 |
NOx Emissions Reduction Compared to Last Year | % | 2 |
SO2 Emissions Reduction Compared to Last Year | % | 2 |
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 | 2018 | 2019 | 2020 |
---|---|---|---|---|
Comprehensive Energy Consumption Intensity (By Revenue) | tonne/RMB 10000 | 2.72 | 2.96 | 3.05 |
Fossil Fuel Consumption | 10 thousand tonnes (oil + natural gas) | 47.7 | 46.76 | 48.29 |
Natural Gas Consumption | 100 million m³ | 11.79 | 8.44 | 8.41 |
Total Direct Energy Consumption | 10 thousand tonnes (oil + natural gas) | 47.7 | 46.76 | 48.29 |
Total Energy Consumption | 10 thousand tonnes of standard coal | 4958.44 | 4394.49 | 4324.04 |
Total Indirect Energy Consumption | 100 million kWh | 226.61 | 173.04 | 169.06 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Discharge of Domestic Wastewater | million tonnes | 8.2 | 10.75 | |
Discharge of Industrial Wastewater | million tonnes | 21.48 | 25.17 | |
Groundwater Consumption | million tonnes | 5.62 | 2.65 | |
Municipal Water Consumption | million tonnes | 20.2 | 35.31 | |
Recycled Water Percentage | % | 17 | ||
Recycled Water Usage | million tonnes | 43.05 | 11.22 | |
Surface Water Consumption | million tonnes | 106.48 | 92.93 | |
Total Wastewater Discharge | million tonnes | 170.85 | 154.48 | 168.74 |
Total Water Withdrawal | million tonnes | 252.3 | 179.68 | 157.24 |
Water Consumption | million tonnes | 252.3 | 179.68 | 157.24 |
Water Consumption Intensity (By Revenue) | tonne/RMB10000 | 13.84 | 11.49 | 10.68 |
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 | 2019 | 2020 | 2025 |
---|---|---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % | 5 | ||
Wastewater Reduction Compared to Last Year | million tonnes | 7.18 | 2.25 | |
Wastewater Reduction Percentage Compared to Last Year | % | 5.29 | 1.75 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Investment in Ecological Restoration | RMB100 million | 4.7 | 5.01 | 7.54 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Contractors | 20443 | |||
Number of Employed Professional and Technical Personnel | person | 10927 | ||
Number of Employees Aged 30-50 | person | 53795 | ||
Number of Employees Aged Above 50 | person | 13500 | ||
Number of Employees Aged Below 30 | person | 8887 | ||
Number of Employees in Hong Kong | person | 4 | ||
Number of Employees in Mainland China | person | 75867 | ||
Number of Employees in Overseas | person | 315 | ||
Number of Total Employees | persons | 86856 | 75620 | 76182 |
Percentage of Employed Professional and Technical Personnel | % | 14.34 | ||
Percentage of Female Employees | % | 18.66 | ||
Percentage of General Employees | % | 95.24 | ||
Percentage of Male Employees | % | 81.34 | ||
Percentage of Middle Management Employees | % | 4.46 | ||
Percentage of Senior Management Employees | % | 0.3 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit |
---|---|
Turnover Rate of Employees Aged 30-50 | % |
Turnover Rate of Employees Aged Above 50 | % |
Turnover Rate of Employees Aged Below 30 | % |
Turnover Rate of Employees in Mainland China | % |
Turnover Rate of Female Employees | % |
Turnover Rate of Male Employees | % |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2015 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Number of Work-related Fatalities | persons | 4 | 2 | 1 | |
Work-related Fatalities Rate | person/hundred persons | 0.0046 | 0.0013 | 0.0002 | |
Work-related Fatalities Rate (Per Unit Product) | per million tonnes | 0.003 | 0.0126 | 0.0034 |
Lost days due to work injury.
Standard Indicator | Unit | 2020 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 10961.1 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Health Check Coverage for Employees | % | 100 | ||
Investment in Work Safety | RMB100 million | 54.46 | 42.89 | 38.15 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Percentage of Trained Female Employees | % | 18.3 | ||
Percentage of Trained General Employees | % | 95.29 | ||
Percentage of Trained Male Employees | % | 81.7 | ||
Percentage of Trained Middle Management | % | 4.42 | ||
Percentage of Trained Senior Management | % | 0.29 | ||
Total Cost of Training | RMB | 860000000 | 1245000000 | 2149000000 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2020 |
---|---|---|
Average Training Hours (Female) | hours | None |
Average Training Hours (General Staff) | hours | None |
Average Training Hours (Male) | hours | None |
Average Training Hours (Middle Management) | hours | None |
Average Training Hours (Senior Management) | hours | None |
Average Training Hours per Employee | hours | 89.6 |
Total Training Hours | hours | 6702074.98 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Suppliers in Asia (Excluding China) | suppliers | 37 | ||
Number of Suppliers in Europe | suppliers | 29 | ||
Number of Suppliers in Hong Kong | suppliers | 68 | ||
Number of Suppliers in Mainland China | suppliers | 115223 | ||
Number of Suppliers in North America | suppliers | 11 | ||
Number of Suppliers in Oceania | suppliers | 3 | ||
Number of Total Suppliers | suppliers | 64000 | 93000 | 115000 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Complaints Dealt with | 72 | |
Number of Products and Service Related Complaints | 13 | |
Total Number of Customer Complaints | 13 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Accumulative Number of Patents Granted | items | 5261 | ||
Number of Invention Patents | items | 113 | 155 | 198 |
Number of New Patent Applications | items | 704 | ||
Number of Patents Granted | items | 581 | 556 | 915 |
Number of Patents Held | items | 1163 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2020 |
---|---|---|
Board Anti-corruption Training Duration | hours | 31 |
Number of Directors and Management Attendance for Anti-corruption Training | persons | 26 |
Number of General Employees Attendance for Anti-corruption Training | persons | 57287 |
Number of People Participated in Ethical Standards and Anti-corruption Training | persons | 57541 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Registered Volunteers | volunteers | 9668 |
Total Volunteer Service Hours | hours | 48412.5 |