2019 Environmental Social Responsibility and Corporate Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 to 2022 (every year) | Report Pages |
|---|---|---|---|---|---|
| COD emission | tonne | Lower than 3700 | 30 | ||
| Carbon Emissions Key Issue Score | 2 | 88 | |||
| Chemical oxygen demand | 10 thousand tonnes | 0.083 | 0.09 | 81 | |
| Emission of coal gangue | 10 thousand tonnes | 2242.29 | 2021.53 | 81 | |
| Gas drainage volume of China Shenhua Mines | tonnes | 27231 | 47 | ||
| Investment in pollution governance | million RMB | 921 | 53 | ||
| Nitrogen oxide emission | thousand tonnes | Lower than 145 | 30 | ||
| Qualification rate of dust detection of Baotou Chemical | % increase | 8 | 67 | ||
| Qualification rate of noise of Baotou Chemical | % increase | 9.3 | 67 | ||
| Smoke emission | thousand tonnes | Lower than 23 | 30 | ||
| Sulfur dioxide emission | thousand tonnes | Lower than 88 | 30 | ||
| Total emission of NOx from thermal power generation | 10 thousand tonnes | 3.82 | 2.02 | 81 | |
| Total emission of SO2 from thermal power generation | 10 thousand tonnes | 1.85 | 1.04 | 81 | |
| Total emission of soot from thermal power generation | 10 thousand tonnes | 0.289 | 0.179 | 81 |
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 | 2017 | 2018 | 2019 | 2020 to 2022 (every year) | Report Pages |
|---|---|---|---|---|---|---|
| CCUS demonstration project CO2 capture capacity at Jinjie Energy | tonnes/year | 150000 | 48 | |||
| Carbon emission intensity | tonne/RMB10000, tonnes/10 thousand yuan output value | 14.11 | 13.67 | 14 | 30, 47 | |
| Carbon emission volume | thousand tonnes | 22577 | 22059 | 47 | ||
| Carbon emission volume - Power and coal chemical segments | thousand tonnes | 21262 | 23774 | 47 | ||
| Carbon emission volume - coal-mining and transportation segments | thousand tonnes | 1315 | 1292 | 47 | ||
| Gas emission volume of China Shenhua Mines | tonnes | 60234 | 47 | |||
| Performance of NOx emission from thermal power generation | g/kWh | 0.14 | 0.14 | 81 | ||
| Performance of SO2 emission from thermal power generation | g/kWh | 0.07 | 0.07 | 81 | ||
| Performance of soot emission from thermal power generation | g/kWh | 0.0104 | 0.0121 | 81 | ||
| Programs or actions to reduce the emissions intensity of core operations - CDP disclosure | Mid | 88 | ||||
| Programs or actions to reduce the emissions intensity of core operations - Capture GHG emissions | Mid | 88 | ||||
| Scope 1 carbon emission | thousand tonnes | 25066 | 24577 | 47 | ||
| Scope 2 carbon emission | thousand tonnes | 518 | 489 | 47 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 to 2022 (every year) | Report Pages |
|---|---|---|---|---|---|---|
| Hazardous solid waste compliance disposal rate | 100% | 54 | ||||
| Hazardous solid waste production volume | tonnes | 304.52 | 1477.94 | 5483.49 | 55 | |
| Hazardous wastes emissions per RMB10000 output value | kg/RMB10000 | 0.081 | 0.3324 | 81 | ||
| Safe disposal rate of hazardous waste | % | 100 | 30 | |||
| Total emission of hazardous wastes | tonne | 1477.94 | 5483.49 | 81 | ||
| Toxic Emissions & Waste Key Issue Score | 5.5 | 91 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Emission volume of harmless solid wastes | 10 thousand tonnes | 2185.84 | 2176.16 | 81 | |
| Harmless solid wastes emissions per RMB10000 output value | tonne/RMB10000 | 1.2 | 1.5 | 81 | |
| Integrated utilization of coal gangue | 10 thousand tonnes | 1163.02 | 1564.07 | 81 | |
| Normal solid waste emission | ten thousand tonnes | 3449.91 | 2185.84 | 2176.16 | 55 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Accumulated carbon sink | thousand tonnes | 4062.7 | 49 |
| CO2 capture rate of coal-fired flue gas in CCUS demonstration project | over 90% | 48 | |
| CO2 density in CCUS demonstration project | over 99% | 48 | |
| Payment performance rate of control and emission enterprises | % | 100% | 46 |
| Programs or actions to reduce the emissions intensity of core operations - Other initiatives (e.g. carbon offsets) | Top | 88 | |
| Target - Aggressiveness of the company's reduction target in the context of its current performance | Mid | 88 | |
| Target - Demonstrated track record of achieving its carbon reduction targets | Mid | 88 | |
| Targets - Aggressiveness of Toxic Emissions Reduction Target | Mid | 91 | |
| Targets - Demonstrated track record of achieving its toxic emissions targets | Mid | 91 |
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 to 2022 (every year) | Report Pages |
|---|---|---|---|
| Comprehensive utilization rate of fly ash | % | Not lower than 75 | 30 |
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 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 to 2022 (every year) | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Annual coal consumption ratio for power supply of Guohua Power | g/kWh | 298.8 | 48 | |||||
| Average energy consumption of power sales | g/kWh | 308 | 30 | |||||
| Comprehensive energy consumption (10 thousand tonnes of standard coal) | 10 thousand tonnes of standard coal | 4958.44 | 4394.49 | 82 | ||||
| Comprehensive energy consumption per 10 thousand yuan output value | tonnes of standard coal/10 thousand yuan | 3 | 30 | |||||
| Comprehensive energy consumption per RMB10 thousand output value | 2.72 | 2.96 | 82 | |||||
| Decrease in coal consumption ratio for power supply after steam path transformation of No. 4 steam turbine of Taishan power plant | g/kWh | 10 | 48 | |||||
| Energy consumption of absorbent regeneration in CCUS demonstration project | GJ/tCO2 | 2.4 | 48 | |||||
| Gas utilization volume of China Shenhua Mines | tonnes | 20256 | 47 | |||||
| Mengjin power plant contributed power supply for heating | GJ | 219100 | 48 | |||||
| Programs or actions to reduce the emissions intensity of core operations - Use of cleaner sources of energy | Mid | 88 | ||||||
| Proportion of consumption of coal in the PRC to the total energy consumption | % | 63.7 | 62 | 60.4 | 59 | 57.7 | 45 | |
| Reduction in coal consumption ratio for power supply by transforming multi-stage heating system at Mengjin power plant | g/kWh | 1.3 | 48 | |||||
| Total electricity consumption (100 million Kwh) | 100 million Kwh | 226.61 | 173.04 | 82 | ||||
| Total natural gas consumption (100 million m³) | 100 million m³ | 11.79 | 8.44 | 82 | ||||
| Total oil consumption (10 thousand tonnes) | 10 thousand tonnes | 35.91 | 38.32 | 82 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 to 2022 (every year) | Report Pages |
|---|---|---|---|---|---|---|
| Comprehensive water consumption per 10 thousand yuan output value | tonne/10 thousand yuan | 13 | 30 | |||
| Domestic sewage consumption volume | million tonnes | 18.42 | 56 | |||
| Domestic sewage production volume | million tonnes | 8.2 | 54 | |||
| Domestic sewage utilization rate | % | 56 | 54 | |||
| Domestic sewage utilization volume | million tonnes | 4.56 | 54 | |||
| Fresh water consumption volume | million tonnes | 132.3 | 56 | |||
| Governance and Strategy - Percentage of water consumption from alternative water sources (i.e. grey water, rainwater, sewage) | Mid | 89 | ||||
| Governance and Strategy - Water recirculation/recycling rate | Top | 89 | ||||
| Industrial sewage consumption volume | million tonnes | 11.74 | 56 | |||
| Industrial waste water production volume | million tonnes | 82.58 | 54 | |||
| Integrated utilization rate of sewage water | % | 79.43 | 83.2 | 81 | ||
| Land surface water consumption volume | million tonnes | 106.48 | 56 | |||
| Mine (pit) water production volume | million tonnes | 124.8 | 54 | |||
| Mine (pit) water utilization rate | % | 52 | 54 | |||
| Mine (pit) water utilization volume | million tonnes | 65.11 | 54 | |||
| Mine water (drainage water) consumption volume | million tonnes | 12.89 | 56 | |||
| Other water in total consumption volume | million tonnes | 4.33 | 56 | |||
| Recycled water (reclaimed water) consumption volume | million tonnes | 43.05 | 56 | |||
| Recycling rate of underground mine water | % | 83.22 | 85.11 | 81 | ||
| Sewage and wastewater generation volume | million tonnes | 170.85 | 154.48 | 81 | ||
| Tap water consumption volume | million tonnes | 20.2 | 56 | |||
| Total fresh water (million tonnes) | million tonnes | 169.31 | 132.3 | 82 | ||
| Total water consumption (million tonnes) | million tonnes | 252.3 | 179.68 | 82 | ||
| Underground water consumption volume | million tonnes | 5.62 | 56 | |||
| Water consumption per RMB10 thousand output value (tonne/RMB10000) | tonne/RMB10000 | 13.84 | 11.49 | 82 | ||
| Water consumption volume per 10 thousand output | tonne/RMB10000 | 15.57 | 13.84 | 11.49 | 56 | |
| Water utilization rate of mine (pit) | % | 85 | 30 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Governance and Strategy - Implementation of water efficient production processes | Top | 89 | ||
| ISO 50001:2011 Certificates received by China Shenhua and its subsidiaries | certificates | 1 | 51 | |
| Mechanization rate of coal mining and excavation (%) | % | 99.34 | 100 | 83 |
| Programs or actions to reduce the emissions intensity of core operations - Energy consumption management and operational efficiency enhancements | Mid | 88 |
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 | Report Pages |
|---|---|---|---|---|
| Executive body responsible for water management strategy and performance - CEO is responsible for water management strategy and performance | Top | 89 | ||
| Executive body responsible for water management strategy and performance - CSR or Sustainability Committees are responsible for water management strategy and performance | Top | 89 | ||
| Executive body responsible for water management strategy and performance - Senior Executive or Executive Committee are responsible for water management strategy and performance | Top | 89 | ||
| Governance and Strategy - Evidence of using alternative water sources | Top | 89 | ||
| Industrial waste water utilization rate | % | 26 | 54 | |
| Industrial waste water utilization volume | million tonnes | 21.48 | 54 | |
| Utilization rate of industrial wastewater | % | 85.56 | 82.58 | 81 |
| Utilization volume of sewage and wastewater | million tonnes | 135.7 | 128.52 | 81 |
| Water Stress Key Issue Score | 4 | 89 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Accumulated afforestation area | 10 thousand square meters | 99727 | 49 | |
| Additional reclamation and afforestation areas | million square meters | 3.5495 | 49 | |
| Carbon sink conversion volume | 10 thousand tonnes | 406.27 | 49 | |
| Ecological environment investments | million RMB | 882.44 | 49 | |
| Environmental Pillar Score | 3.5 | 88 | ||
| Environmental protection taxes paid | million RMB | 335 | 53 | |
| Governance and Strategy - Disclosure around the number or percentage of sites with HAZWOPER or ISO 14001 certification | Mid | 91 | ||
| Governance and Strategy - Existence of Environmental Management System (EMS) | Top | 91 | ||
| ISO 14001 Certificates received by China Shenhua and its subsidiaries | certificates | 11 | 51 | |
| Investment in environmental protection (RMB100 million) | RMB100 million | 14.22 | 14.24 | 82 |
| Investment on ecological construction (RMB100 million) | RMB100 million | 4.7 | 5.01 | 82 |
| Land treatment area in mine shaft subsidence area | 10 thousand square meters | 1029.6 | 49 | |
| New afforestation area (10 thousand m²) | 10 thousand m² | 3133 | 1472 | 82 |
| Newly afforested area during the year | 10 thousand square meters | 1472 | 49 | |
| Number of ecological environment improvement projects | 9 | 49 | ||
| Plants of pine trees | plants | 30088 | 49 | |
| Plants of sea-buckthorn | million plants | 8.2253 | 49 | |
| Reclamation area of opencast mine land | 10 thousand square meters | 383.7 | 49 | |
| Reclamation investment by Zhunneng Group | billion RMB | 1.52 | 57 | |
| Reclamation rate of mining areas by Zhunneng Group | % | 100 | 57 | |
| Total reclamation area completed by Zhunneng Group | hectares | 3040 | 57 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Number of most influential key ESG topics selected | 10 | 27 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Chairman | person | 1 | 14 | |
| Directors with business management background | persons | 2 | 14 | |
| Directors with economics background | person | 1 | 14 | |
| Directors with engineering background | person | 1 | 14 | |
| Directors with geology background | person | 1 | 14 | |
| Directors with legal background | person | 1 | 14 | |
| Directors with thermal power background | persons | 2 | 14 | |
| Directors with transportation background | person | 1 | 14 | |
| Employee stock ownership plan (ESOP) or employee stock purchase plan (ESPP) | Low | 93 | ||
| Evidence of collective agreements | Top | 93 | ||
| Executive directors | persons | 3 | 14 | |
| Female Directors on Board | 33% | 14 | ||
| Geographic Exposure Score | 6.2 | 88, 89, 91, 93 | ||
| Independent non-executive directors | persons | 4 | 14 | |
| Male Directors on Board | 67% | 14 | ||
| Non-compensation benefits including pension and retirement | Top | 93 | ||
| Non-executive director | person | 1 | 14 | |
| Number of Directors in Safety, Health and Environmental Protection Committee | persons | 5 | 14 | |
| Percentage of workforce covered by trade unions/collective agreements | Top | 93 | ||
| Shareholding proportion of controlling shareholders at the end of the period (%) | % | 73.06 | 69.45 | 83 |
| Total number of employees (persons) | persons | 86856 | 75620 | 82 |
| Variable performance-based component to pay | Mid | 93 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 to 2022 (every year) | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Additional employees with occupational disease (cases) | cases | 19 | 54 | 82 | |||||
| Liability accident of railway traffic collision (per million running kilometers) | Lower than 0.2 | 30 | |||||||
| Mortality rate of production of one million tonnes of raw coal | % | Lower than 0.005 | 30 | ||||||
| Mortality rate per million tonnes of raw coal production - China Shenhua | 0.009 | 0.003 | 0.003 | 0.0126 | 37 | ||||
| Mortality rate per million tonnes of raw coal production - Coal mines in the PRC | 0.255 | 0.181 | 0.156 | 0.106 | 0.093 | 0.083 | 37 | ||
| Number of serious accidents and above | 1 | 83 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of working days lost due to work-related injuries (China Shenhua) | days | 5797 | 65 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Annual special fund for occupational diseases | RMB million | 652.18 | 64 | |
| Capital investment in occupational health (RMB100 million) | RMB100 million | 3.06 | 6.52 | 82 |
| First-level compliance units in safety production | 14 | 18 | 83 | |
| Health & Safety Key Issue Score | 1.8 | 91 | ||
| Increase in person-times of person-to-person mental consultation at Shendong Coal compared to 2018 | person-times | 25 | 67 | |
| Investment in safety production (RMB100 million) | RMB100 million | 54.46 | 42.89 | 83 |
| Number of super-safe and efficient mines | 17 | 20 | 83 | |
| Number of workplaces with serious occupational hazards governed | 553 | 64 | ||
| Total number of work-related injuries (China Shenhua) | 76 | 65 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Capital investment in research and development (RMB100 million) | RMB100 million | 8.6 | 12.45 | 83 |
| Employee training sessions | million times | 1.3236 | 64 | |
| Management Score | 5.5 | 88, 89, 91, 93 | ||
| Number of completed ESG substantive issue questionnaires collected | 145 | 27 | ||
| Number of trainings on 'Improving Employees' Happiness' conducted by Shendong Coal | trainings | 21 | 67 | |
| Proportion of appointed professional technicians received training | % | 17.91 | 64 | |
| Proportion of female employees received training | % | 19.32 | 64 | |
| Proportion of male employees received training | % | 80.68 | 64 | |
| Proportion of management employees received training | % | 16.63 | 64 | |
| Proportion of other employees received training | % | 4.74 | 64 | |
| Proportion of technicians received training | % | 60.72 | 64 | |
| Staff participation rate in 2019 Legal Quiz on Emergency Management and Tenth National Legal Quiz | percent | 100% | 18 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Accumulate training hours | million hours | 13.1155 | 64 |
| Performance Score | 7.5 | 88, 89, 91, 93 | |
| Proportion of training of Company's employees | 95.86% | 64 | |
| Training hours per capita for appointed professional technicians | hours | 86.24 | 64 |
| Training hours per capita for female employees | hours | 170.75 | 64 |
| Training hours per capita for male employees | hours | 174.1 | 64 |
| Training hours per capita for management employees | hours | 198.29 | 64 |
| Training hours per capita for other employees | hours | 30.19 | 64 |
| Training hours per capita for technicians | hours | 209.54 | 64 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of compliance suppliers (China Shenhua) | 93232 | 73 | ||
| Number of suppliers in East China (China Shenhua) | 22451 | 73 | ||
| Number of suppliers in North China (China Shenhua) | 31191 | 73 | ||
| Number of suppliers in Northeast China (China Shenhua) | 6184 | 73 | ||
| Number of suppliers in Northwest China (China Shenhua) | 17283 | 73 | ||
| Number of suppliers in Others (China Shenhua) | 556 | 73 | ||
| Number of suppliers in South Central China (China Shenhua) | 8703 | 73 | ||
| Number of suppliers in Southwest China (China Shenhua) | 6864 | 73 | ||
| Total suppliers (ten thousand ones) | ten thousand ones | 6.4 | 9.3 | 83 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Practices Score | 4 | 88, 89, 91, 93 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Business Segment Exposure Score | 8 | 88, 89, 91, 93 | |
| Company-Specific Exposure Score | 10 | 93 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | 2020 to 2022 (every year) | Report Pages |
|---|---|---|---|---|
| Customer satisfaction rate in direct sales | % | 94.5 | 71 | |
| Customer satisfaction rate in seaborne sale | % | 97.06 | 71 | |
| Number of unplanned outages of thermal power units | Times | 0.3 | 30 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Invention patents granted | 155 | 40 | ||
| Number of employees attended intellectual property training programs | employees | 528 | 22 | |
| Number of invention patents obtained | 113 | 155 | 83 | |
| Number of patents obtained | 581 | 556 | 83 | |
| Patents granted | 556 | 40 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Disclosure of customer privacy and information in China Shenhua | none | 71 | ||
| Number of information disclosure documents released | 222 | 211 | 83 |
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 | Report Pages |
|---|---|---|---|
| Corruption & Instability Key Issue Score | 0.2 | 93 | |
| Exposure Score | 9.9 | 88, 89, 91, 93 | |
| Losses recovered from anti-bribery, fraud and embezzlement work | RMB10000 | 18.41 | 20 |
| Major litigation or arbitration matters involving the company | None | 17 | |
| Number of Board resolutions considered | resolutions | 77 | 14 |
| Number of Supervisory Committee meetings convened | times | 4 | 16 |
| Number of disciplinary sanctions imposed on employees for misconduct | employees | 86 | 19 |
| Persons who have received disciplinary or administrative penalties (persons) | persons | 86 | 20 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Convening of Board meetings | times | 8 | 14 | |
| Convening of special committee meetings | times | 17 | 14 | |
| Corruption reports received (pieces) | pieces | 367 | 20 | |
| Corruption reports verified (pieces) | pieces | 351 | 20 | |
| External auditing expenses (RMB million) | RMB million | 10.5 | 8.55 | 83 |
| Governance Pillar Score | 3.5 | 93 | ||
| Governance and Strategy - Evidence of annual compliance audits | Mid | 91 | ||
| Governance and Strategy - Evidence of audits across all locations of operations | Mid | 91 | ||
| Governance and Strategy - Evidence of regular environmental impact audits | Top | 91 | ||
| Number of Supervisors in Supervisory Committee | 3 | 16 | ||
| Number of alternative ESG substantive topics proposed | 54 | 27 | ||
| Number of branches with new quota requirements for related party transactions | 14 | 17 | ||
| Number of members of the Board concurrently serving as CEO of other companies (personnel) | personnel | 1 | 83 | |
| Number of persons for whom opinions on Party style and clean government were issued during internal inspection | persons | 232 | 19 | |
| Number of related party transactions with new quota requirements approved in 14 branches | 33 | 17 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Date of launch and training session for ESG governance enhancement project of China Shenhua | October | 29 | ||
| Employees attending integrity education activities (person-times) | person-times | 103198 | 20 | |
| Excellence rate in 2019 Legal Quiz on Emergency Management and Tenth National Legal Quiz | percent | 99% | 18 | |
| Integrity education (sessions) | sessions | 2873 | 20 | |
| Number of financial experts in Audit Committee (personnel) | personnel | 2 | 2 | 83 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of poor employees helped | employees | 2815 | 68 | |
| Number of scientific projects approved by the headquarter | 134 | 69 | 83 | |
| Ranking among world’s top 250 energy companies (Platts) | 14 | 6 | ||
| Social Pillar Score | 3.5 | 91 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Accumulated cash dividend (RMB million) | RMB million | 239975 | 265036 | 82 |
| Donations to society (RMB million) | RMB million | 460 | 279 | 82 |
| Major disease relief aid payment | thousand RMB | 5451.5 | 68 | |
| Number of families of extremely poor employees and their family survivors provided with minimum living security benefit | families | 324 | 68 | |
| Number of families rescued from severe disease | families | 147 | 68 | |
| Person-times of person-to-person mental consultation at Shendong Coal | person-times | 89 | 67 | |
| Social contributions per share (RMB/share) (Chinese Accounting Standards) | RMB/share | 6.648 | 5.95 | 82 |
| Social contributions per share (RMB/share) (International Financial Reporting Standards) | RMB/share | 6.661 | 5.87 | 82 |
| Total amount of consolation fund, aid fund and minimum living security benefit for extremely poor employees and their family survivors | million RMB | 12.0279 | 68 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2018 | 2019 | 2020-2022 |
|---|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | 10 thousand tonnes | 0.289 | 0.179 | Lower than 23 |
| NOâ‚“ Emissions | 10 thousand tonnes | 3.82 | 2.02 | Lower than 145 |
| SOâ‚“ Emissions | 10 thousand tonnes | 1.85 | 1.04 | Lower than 88 |
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 | 2017 | 2018 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | thousand tonnes | 25066 | 24577 | |||
| Indirect Energy Emissions (Scope 2) | thousand tonnes | 518 | 489 | |||
| Total GHG Emissions | thousand tonnes | 22577 | 22059 | |||
| Total GHG Emissions Intensity (By Revenue) | tonne/RMB10000 | 14.11 | 13.67 | 14 | 14 | 14 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Disposal Rate of Hazardous Waste | % | 100 | ||
| Total Hazardous Waste | tonnes | 304.52 | 1477.94 | 5483.49 |
| Total Hazardous Waste Intensity (By Revenue) | kg/RMB10000 | 0.081 | 0.3324 |
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 |
|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | tonne/RMB10000 | 1.2 | 1.5 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Accumulated carbon sink | thousand tonnes | 4062.7 |
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 | 2021 | 2022 |
|---|---|---|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | tonnes of standard coal/10 thousand yuan | 2.72 | 2.96 | 3 | 3 | 3 |
| Fossil Fuel Consumption | 10 thousand tonnes | 35.91 | 38.32 | |||
| Natural Gas Consumption | 100 million m³ | 11.79 | 8.44 | |||
| Total Energy Consumption | 10 thousand tonnes of standard coal | 4958.44 | 4394.49 | |||
| Total Indirect Energy Consumption | 100 million Kwh | 226.61 | 173.04 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|
| Discharge of Domestic Wastewater | million tonnes | 8.2 | |||||
| Discharge of Industrial Wastewater | million tonnes | 82.58 | |||||
| Groundwater Consumption | million tonnes | 5.62 | |||||
| Municipal Water Consumption | million tonnes | 20.2 | |||||
| Recycled Water Usage | million tonnes | 43.05 | |||||
| Surface Water Consumption | million tonnes | 106.48 | |||||
| Total Wastewater Discharge | million tonnes | 170.85 | 154.48 | ||||
| Total Water Withdrawal | million tonnes | 252.3 | 179.68 | ||||
| Water Consumption | million tonnes | 252.3 | 179.68 | ||||
| Water Consumption Intensity (By Revenue) | tonne/RMB10000 | 15.57 | 13.84 | 11.49 | 13 | 13 | 13 |
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 |
|---|---|---|
| Wastewater Reduction Compared to Last Year | million tonnes | 7.18 |
| Wastewater Reduction Percentage Compared to Last Year | % | 5.29 |
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 |
|---|---|---|---|
| Total Investment in Ecological Restoration | RMB100 million | 4.7 | 5.01 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Employees in East China | people | 1366 | |
| Number of Employees in Indonesia | persons | 700 | |
| Number of Employees in North China | people | 35379 | |
| Number of Employees in Northeast China | people | 553 | |
| Number of Employees in Northwest China | people | 33785 | |
| Number of Employees in Southwest China | people | 1881 | |
| Number of Total Employees | persons | 86856 | 75620 |
| Percentage of Employees Aged 30-50 | % | 70.91 | |
| Percentage of Employees Aged Above 50 | % | 18.18 | |
| Percentage of Employees Aged Below 30 | % | 10.91 | |
| Percentage of Employees in East China | % | 1.81 | |
| Percentage of Employees in North China | % | 46.78 | |
| Percentage of Employees in Northeast China | % | 0.73 | |
| Percentage of Employees in Northwest China | % | 44.68 | |
| Percentage of Employees in Southwest China | % | 2.49 | |
| Percentage of Female Employees | % | 19.62 | 33 |
| Percentage of Male Employees | % | 80.38 | 67 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Employees Aged 30-50 | person |
| Turnover Rate of Employees Aged Above 50 | person |
| Turnover Rate of Employees Aged Below 30 | person |
| Turnover Rate of Employees in East China | person |
| Turnover Rate of Employees in North China | person |
| Turnover Rate of Employees in Northeast China | person |
| Turnover Rate of Employees in Northwest China | person |
| Turnover Rate of Employees in Southwest China | person |
| Turnover Rate of Female Employees | person |
| Turnover Rate of Male Employees | person |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|---|---|---|
| Work-related Fatalities Rate (Per Unit Product) | % | 0.255 | 0.181 | 0.156 | 0.106 | 0.093 | 0.083 | Lower than 0.005 | Lower than 0.005 | Lower than 0.005 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 5797 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Health Check Coverage for Employees | % | 100 | |
| Investment in Work Safety | RMB100 million | 54.46 | 42.89 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Trained Female Employees | % | 19.32 |
| Percentage of Trained Male Employees | % | 80.68 |
| Percentage of Trained Senior Management | % | 16.63 |
| Percentage of Trained Technical Employees | % | 60.72 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours (Female) | hours | 170.75 |
| Average Training Hours (Male) | hours | 174.1 |
| Average Training Hours (Technical Employees) | hours | 209.54 |
| Total Training Hours | hours | 13115500 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Number of Suppliers in East China | ones | 22451 | |
| Number of Suppliers in North China | ones | 31191 | |
| Number of Suppliers in Northeast China | ones | 6184 | |
| Number of Suppliers in Northwest China | ones | 17283 | |
| Number of Suppliers in Southwest China | ones | 6864 | |
| Number of Total Suppliers | ones | 64000 | 93000 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Accumulative Number of Patents Granted | |||
| Number of Invention Patents | 113 | 155 | |
| Number of Patents Granted | 581 | 556 | |
| Number of Patents Held |
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.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Confirmed Incidents of Corruption | incidents | 86 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Anti-corruption Training Session | sessions | 2873 |
| Number of Attendance for Anti-corruption Training | person-times | 103198 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | million RMB | 62 | |
| Investment in Targeted Poverty Alleviation | million RMB | 12.0279 | |
| Total Public Welfare Donations | RMB million | 460 | 279 |