Environmental, Social & Governance Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
High-purity Iron Business Nitrogen oxides concentration of emission | mg/m³ | <300 | <300 | 36 |
High-purity Iron Business Nitrogen oxides discharge amount | ton | 227.27 | 347.42 | 36 |
High-purity Iron Business Nitrogen oxides discharge per metric ton | 10^(-4) ton/ton | 3.42 | 3.99 | 36 |
High-purity Iron Business Particulate matter concentration of emission | mg/m³ | <40 | <40 | 36 |
High-purity Iron Business Particulate matter discharge amount | ton | 199.29 | 252.39 | 36 |
High-purity Iron Business Particulate matter discharge per metric ton | 10^(-4) ton/ton | 3 | 2.9 | 36 |
High-purity Iron Business Sulphur dioxide concentration of emission | mg/m³ | <180 | <180 | 36 |
High-purity Iron Business Sulphur dioxide discharge amount | ton | 64.63 | 118.96 | 36 |
High-purity Iron Business Sulphur dioxide discharge per metric ton | 10^(-4) ton/ton | 0.97 | 1.37 | 36 |
Iron Ore Business Particulate matter concentration of emission | mg/m³ | <20 | <20 | 36 |
Iron Ore Business Particulate matter discharge amount | ton | 68.47 | 90.11 | 36 |
Iron Ore Business Particulate matter discharge per metric ton | 10^(-4) ton/ton | 0.89 | 0.9 | 36 |
Number of dioxin monitoring activities carried out by High-purity Iron Business | dioxin monitoring | 1 | 34 |
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 |
---|---|---|---|---|---|
GHG emission density per RMB 1000000 operating income | tCO2e/RMB'000000 operating income | 381 | 507 | 634 | 38 |
GHG emission density per metric ton of high-purity iron | tCO2e/metric ton of high-purity iron | 1.945 | 1.974 | 2.148 | 38 |
GHG emission density per metric ton of iron ore concentrates | tCO2e/metric ton of iron ore concentrates | 0.054 | 0.05 | 0.049 | 38 |
GHG emission intensity | tCO2e/RMB'000000 operating income | 634 | 9 | ||
Scope 1 GHG emissions | tCO2e | 964641 | 1191926 | 1635874 | 38 |
Scope 2 GHG emissions | tCO2e | 227165 | 127841 | 284432 | 38 |
Scope 3 GHG emissions | tCO2e | 66 | 13 | 60 | 38 |
Total GHG emissions | tCO2e | 1191872 | 1319780 | 1920366 | 9, 38 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of solid waste monitoring activities carried out by High-purity Iron Business | solid waste monitoring | 1 | 34 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
GHG emissions reduced by tree planting (Iron Ore Business) | tCO2e | 1779.88 | 38 |
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 | Report Pages |
---|---|---|---|---|---|
Coal (metric tons) | metric tons | 56100 | 63956 | 93119 | 44 |
Coke (metric tons) | metric tons | 262623 | 380785 | 471033 | 44 |
Coke powder (metric tons) | metric tons | 25870 | 10717 | 6111 | 44 |
Diesel (liters) | liters | 1914349 | 2112968 | 1207690 | 44 |
Energy consumption intensity | tce/0'000 operating income | 1.07 | 1.68 | 1.8 | 44 |
Gasoline (liters) | liters | 143264 | 106829 | 109867 | 44 |
Output of high-purity iron | metric tons | 871000 | 9 | ||
Output of iron ore concentrates | metric tons | 1000000 | 9 | ||
Power consumption (GWH) | GWH | 200 | 212 | 263 | 44 |
Total energy consumption | 0'000 tce | 33.36 | 43.74 | 54.52 | 44 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|
Municipal water supply (metric tons) | metric tons | 641104 | 692044 | 914778 | 45 |
Surface water (metric tons) | metric tons | 683206 | 201320 | 155380 | 45 |
Total water drawn from source (metric tons) | metric tons | 1442186 | 1288979 | 1695883 | 45 |
Underground water (metric tons) | metric tons | 117876 | 395615 | 625725 | 45 |
Water consumption intensity (metric tons/000000 operating income) | metric tons/000000 operating income | 461 | 495 | 560 | 45 |
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 |
---|---|---|---|
New trees | 77386 | 9 | |
Number of environmental monitoring reports issued by High-purity Iron Business | reports | 18 | 34 |
Number of monthly environmental monitoring activities carried out by High-purity Iron Business | monthly testing | 12 | 34 |
Number of quarterly environmental monitoring activities carried out by High-purity Iron Business | quarterly monitoring | 4 | 34 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Board members aged 41-50 | 2 | 13 | ||
Board members aged 51-60 | 4 | 13 | ||
Board members aged over 61 | 2 | 13 | ||
Board members from Australia | 1 | 13 | ||
Board members from Hong Kong | 2 | 13 | ||
Board members from Mainland China | 5 | 13 | ||
Board members in enterprise management and risk management and control | 3 | 13 | ||
Board members in financial, investment and financing professions | 3 | 13 | ||
Board members in mineral exploration, development and geological exploration professions | 2 | 13 | ||
Board members with Doctorate degree | 2 | 13 | ||
Board members with Master's degree | 5 | 13 | ||
Board members with Undergraduate degree | 1 | 13 | ||
Male board members | 8 | 13 | ||
Number of board members | 8 | 13 | ||
Number of employees (Female) | 292 | 56 | ||
Number of employees (Male) | 1470 | 56 | ||
Number of employees aged 30 and below | 138 | 56 | ||
Number of employees aged 51 and above | 603 | 56 | ||
Number of employees aged between 31 to 50 | 1021 | 56 | ||
Number of employees in Australia | 6 | 56 | ||
Number of employees in Mainland China | 1756 | 56 | ||
Number of executive directors on board | 3 | 13 | ||
Number of independent non-executive directors on board | 3 | 13 | ||
Number of non-executive directors on board | 2 | 13 | ||
Proportion of employees aged 30 and below to total number of employees | % | 7.83 | 56 | |
Proportion of employees aged 51 and above to total number of employees | % | 34.22 | 56 | |
Proportion of employees aged between 31 to 50 to total number of employees | % | 57.95 | 56 | |
Proportion of employees in Australia to total number of employees | % | 0.34 | 56 | |
Proportion of employees in Mainland China to total number of employees | % | 99.66 | 56 | |
Proportion of female employees to total number of employees | % | 16.57 | 56 | |
Proportion of male employees to total number of employees | % | 83.43 | 56 | |
Proportion of non-executive directors and independent non-executive directors | 62.5% | 13 | ||
Total number of employees | 1760 | 1762 | 9, 56 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Total employees' turnover rate | % | 1.93 | 56 |
Turnover rate (30 and below) | % | 7.25 | 56 |
Turnover rate (31 to 50) | % | 1.37 | 56 |
Turnover rate (51 and above) | % | 1.66 | 56 |
Turnover rate (Australia) | % | 33.33 | 56 |
Turnover rate (Female) | % | 0.34 | 56 |
Turnover rate (Mainland China) | % | 1.82 | 56 |
Turnover rate (Male) | % | 1.59 | 56 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Safety education training rate for employees | % | 100 | 9 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Percentage of training employees (Female) | % | 99.65% | 61 |
Percentage of training employees (Male) | % | 99.79% | 61 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Per capita hours of training completed by employees (Female) | hours | 8.05 | 61 |
Per capita hours of training completed by employees (Male) | hours | 6.9 | 61 |
Total hours of training completed by employees (Female) | hours | 2309 | 61 |
Total hours of training completed by employees (Male) | hours | 10051 | 61 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of suppliers | 510 | 9 |
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 | 2023 | Report Pages |
---|---|---|---|
Total tax | million | 255 | 9 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Total donations | million | 1.805 | 9 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | ton | 267.76 | 342.5 |
NOₓ Emissions | ton | 227.27 | 347.42 |
SOₓ Emissions | ton | 64.63 | 118.96 |
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) | tCO2e | 964641 | 1191926 | 1635874 |
Indirect Energy Emissions (Scope 2) | tCO2e | 227165 | 127841 | 284432 |
Total GHG Emissions | tCO2e | 1191872 | 1319780 | 1920366 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB'000000 operating income | 381 | 507 | 634 |
Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 66 | 13 | 60 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2023 |
---|---|---|
GHG Emissions Reduction Compared to Last Year | tCO2e | 1779.88 |
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 |
---|---|---|---|---|
Diesel Fuel Consumption | liters | 1914349 | 2112968 | 1207690 |
Energy Consumption Intensity (By Revenue) | tce/0'000 operating income | 1.07 | 1.68 | 1.8 |
Gasoline Consumption | liters | 143264 | 106829 | 109867 |
Purchased Electricity | GWH | 200 | 212 | 263 |
Total Energy Consumption | 0'000 tce | 33.36 | 43.74 | 54.52 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Groundwater Withdrawal | metric tons | 117876 | 395615 | 625725 |
Municipal Water Consumption | metric tons | 641104 | 692044 | 914778 |
Surface Water Withdrawal | metric tons | 683206 | 201320 | 155380 |
Total Water Withdrawal | metric tons | 1442186 | 1288979 | 1695883 |
Water Consumption Intensity (By Revenue) | metric tons/000000 operating income | 461 | 495 | 560 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Number of Employees Aged 30-50 | employees | 1021 | |
Number of Employees Aged Above 50 | employees | 603 | |
Number of Employees Aged Below 30 | employees | 138 | |
Number of Employees in Australia | employees | 6 | |
Number of Employees in Mainland China | employees | 1756 | |
Number of Female Employees | employees | 292 | |
Number of Male Employees | employees | 1470 | |
Number of Total Employees | employees | 1760 | 1762 |
Percentage of Employees Aged 30-50 | percent | 57.95 | |
Percentage of Employees Aged Above 50 | percent | 34.22 | |
Percentage of Employees Aged Below 30 | percent | 7.83 | |
Percentage of Employees in Australia | percent | 0.34 | |
Percentage of Employees in Mainland China | percent | 99.66 | |
Percentage of Female Employees | percent | 16.57 | |
Percentage of Male Employees | percent | 83.43 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 1.37 |
Turnover Rate of Employees Aged Above 50 | % | 1.66 |
Turnover Rate of Employees Aged Below 30 | % | 7.25 |
Turnover Rate of Employees in Australia | % | 33.33 |
Turnover Rate of Employees in Mainland China | % | 1.82 |
Turnover Rate of Female Employees | % | 0.34 |
Turnover Rate of Male Employees | % | 1.59 |
Turnover Rate of Total Employees | % | 1.93 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2023 |
---|---|---|
Participation Rate of Safety Training | % | 100 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 |
---|---|---|
Percentage of Trained Female Employees | % | 99.65 |
Percentage of Trained Male Employees | % | 99.79 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 |
---|---|---|
Average Training Hours (Female) | hours | 8.05 |
Average Training Hours (General Staff) | hours | 7 |
Average Training Hours (Male) | hours | 6.9 |
Average Training Hours (Middle Management) | hours | 16.5 |
Average Training Hours (Senior Management) | hours | 16.5 |
Total Training Hours | hours | 12360 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Total Suppliers | 510 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Number of Suppliers Participated in Sustainability Risk Assessment |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Standard Indicator | Unit |
---|---|
Number of Recalled Products for Safety and Health Reasons |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2023 |
---|---|---|
Total Public Welfare Donations | million | 1.805 |
Total Social Investment | million | 1.805 |