Environmental, Social and Governance (ESG) Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Ammonia nitrogen emissions | tonnes | 0.004 | 0.002 | 115 |
| Ammonia nitrogen emissions (tonnes) | tonnes | 44.19 | 5.48 | 112, 113 |
| Chemical oxygen demand (COD) emissions | tonnes | 0.06 | 0.1 | 115 |
| Chemical oxygen demand (COD) emissions (tonnes) | tonnes | 93.07 | 635.57 | 112, 113 |
| Nitrogen oxide (NOx) emissions | tonnes | 39.56 | 51.95 | 115 |
| Nitrogen oxide (NOx) emissions (tonnes) | tonnes | 2.75 | 133.41 | 112, 114 |
| Nitrogen oxide (NOx) emissions (tonnes) - Headquarters | tonnes | 0.01 | 0.01 | 110 |
| Nitrogen oxide (NOₓ) emissions (tonnes) | tonnes | 0.37 | 11116.6 | 111, 113 |
| Particulate matter emissions | tonnes | 26.75 | 5.45 | 115 |
| Particulate matter emissions (tonnes) | tonnes | 6340.12 | 79.61 | 112, 113 |
| Sulphur dioxide (SO2) emissions | tonnes | 26.55 | 16.74 | 115 |
| Sulphur dioxide (SO2) emissions (tonnes) | tonnes | 0.03 | 0.03 | 112, 114 |
| Sulphur dioxide (SO2) emissions (tonnes) - Headquarters | tonnes | 0.0008 | 0.0009 | 110 |
| Sulphur dioxide (SO₂) emissions (tonnes) | tonnes | 3588.63 | 0.02 | 111, 113 |
| Total phosphorus emissions (tonnes) | tonnes | 1.17 | 1.76 | 112, 113 |
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 | 2023 | 2024 | 2025 | 2035 | Report Pages |
|---|---|---|---|---|---|---|
| Annual carbon dioxide emissions reduction from coal power units (CITIC Pacific Energy Investment) | tons | 70000 | 39 | |||
| Carbon dioxide emissions intensity of subordinate thermal power plant (CITIC Pacific Energy Investment) | tons/MWh | 0.835 | 39 | |||
| Coal gas consumption (greenhouse gases) | 1.97 | 22.9 | 115 | |||
| Direct GHG emissions (Scope 1) (tonnes) | tonnes | 260466.32 | 245571.32 | 112 | ||
| Direct GHG emissions (Scope 1) - Diesel (tonnes) | tonnes | 1392.06 | 498.74 | 112 | ||
| Direct GHG emissions (Scope 1) - Gasoline (tonnes) | tonnes | 598.83 | 544.69 | 112 | ||
| Direct GHG emissions (Scope 1) - Liquefied petroleum gas (tonnes) | tonnes | 45.36 | 24.5 | 112 | ||
| Direct GHG emissions (Scope 1) - Natural gas (tonnes) | tonnes | 258430.08 | 244503.39 | 112 | ||
| Direct greenhouse gas emissions (Scope 1) (tonnes) | tonnes | 48066355.24 | 4773.95 | 111, 113, 114, 116 | ||
| Direct greenhouse gas emissions (Scope 1) (tonnes) - Headquarters | tonnes | 118.4 | 135.23 | 110 | ||
| Direct greenhouse gas emissions (Scope 1) - Coal (tonnes) | tonnes | 42072928.1 | 41738700.46 | 113 | ||
| Direct greenhouse gas emissions (Scope 1) - Coal gas (tonnes) | tonnes | 12.04 | 1.24 | 116 | ||
| Direct greenhouse gas emissions (Scope 1) - Coke (tonnes) | tonnes | 3521498.96 | 13753503.76 | 113 | ||
| Direct greenhouse gas emissions (Scope 1) - Diesel (tonnes) | tonnes | 5.04 | 2889.72 | 111, 113, 114, 116 | ||
| Direct greenhouse gas emissions (Scope 1) - Gasoline (tonnes) | tonnes | 6796.18 | 1706.95 | 111, 113, 114, 116 | ||
| Direct greenhouse gas emissions (Scope 1) - Gasoline (tonnes) - Headquarters | tonnes | 118.4 | 135.23 | 110 | ||
| Direct greenhouse gas emissions (Scope 1) - Intermediate process emissions (tonnes) | tonnes | 2141062.36 | 1864497.64 | 113 | ||
| Direct greenhouse gas emissions (Scope 1) - Liquefied petroleum gas (tonnes) | tonnes | 53212.06 | 26808.4 | 111, 113, 116 | ||
| Direct greenhouse gas emissions (Scope 1) - Natural gas (tonnes) | tonnes | 25218.93 | 4615.61 | 111, 113, 116 | ||
| GHG emissions per 100 million RMB of income (tonnes/100 million RMB) | tonnes/100 million RMB | 1393.52 | 1394.36 | 112 | ||
| Greenhouse gas emissions per RMB100 million of revenue (tonnes/RMB) | tonnes/RMB | 187.66 | 183.23 | 114 | ||
| Greenhouse gas emissions per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 19035.73 | 19349.05 | 111, 113, 116 | ||
| Implicit emissions of carbon sequestration product (deductible) (tonnes) | tonnes | -1772191.86 | -1450312.84 | 113 | ||
| Indirect GHG emissions (Scope 2) (tonnes) | tonnes | 442341 | 462665.99 | 112 | ||
| Indirect GHG emissions (Scope 2) - Purchased electricity (tonnes) | tonnes | 423356.87 | 443709.54 | 112 | ||
| Indirect GHG emissions (Scope 2) - Purchased steam (tonnes) | tonnes | 18984.13 | 18956.45 | 112 | ||
| Indirect greenhouse gas emissions (Scope 2) | tonnes | 91686.63 | 86606.28 | 115 | ||
| Indirect greenhouse gas emissions (Scope 2) (tonnes) | tonnes | 384081.74 | 514606.73 | 111, 113, 116 | ||
| Indirect greenhouse gas emissions (Scope 2) (tonnes) - Headquarters | tonnes | 1422.89 | 1467.3 | 110 | ||
| Indirect greenhouse gas emissions (Scope 2) - Purchased electricity (tonnes) | tonnes | 3937787.4 | 514606.73 | 111, 113, 116 | ||
| Indirect greenhouse gas emissions (Scope 2) - Purchased electricity (tonnes) - Headquarters | tonnes | 1422.89 | 1467.3 | 110 | ||
| Indirect greenhouse gas emissions (Scope 2) - Purchased steam (tonnes) | tonnes | 151698.72 | 105599.86 | 113 | ||
| Natural gas consumption (greenhouse gases) | 22.1 | 23.62 | 115 | |||
| Per capita greenhouse gas emissions from headquarters (tonnes/person) | tonnes/person | 3.13 | 3.28 | 110 | ||
| Purchased electricity (greenhouse gases) | 91686.63 | 86606.28 | 115 | |||
| Reduction in annual carbon emissions from photovoltaic (Nanjing Iron & Steel) | tons | 30000 | 39 | |||
| Reduction in carbon emissions (CITIC Pacific Special Steel) | 20% | 39 | ||||
| Reduction in carbon emissions (Nanjing Iron & Steel) | 30% | 39 | ||||
| Reduction in carbon emissions by energy management (CITIC Heye Investment) | tons | 660 | 39 | |||
| Total GHG emissions (Scope 1 and 2) (tonnes) | tonnes | 702807.33 | 708237.32 | 112 | ||
| Total greenhouse gas emissions (Scope 1 and Scope 2) (tonnes) | tonnes | 96499.1 | 91380.23 | 111, 113, 114, 116 | ||
| Total greenhouse gas emissions (Scope 1 and Scope 2) (tonnes) - Headquarters | tonnes | 1541.29 | 1602.54 | 110 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Hazardous Waste per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 56.31 | 83.44 | 116 |
| Hazardous waste generation | tonnes | 580.76 | 600.36 | 115 |
| Hazardous waste generation per RMB100 million of revenue | tonnes/RMB | 1.13 | 1.2 | 115 |
| Hazardous waste per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 0.02 | 1.1 | 111, 114 |
| Hazardous waste total (tonnes) | tonnes | 66.32 | 3577.54 | 111, 114, 116 |
| Per capita hazardous waste emissions from headquarters (tonnes/person) | tonnes/person | 0.0006 | 0.0005 | 110 |
| Total amount of hazardous waste (tonnes) - Headquarters | tonnes | 0.28 | 0.23 | 110 |
| Total hazardous waste (tonnes) | tonnes | 13351.91 | 475.99 | 112 |
| Total hazardous waste per 100 million RMB of income (tonnes/100 million RMB) | tonnes/100 million RMB | 26.47 | 0.94 | 112 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Non-Hazardous Waste Total (tonnes) | tonnes | 7346.9 | 48094.08 | 116 |
| Non-Hazardous Waste per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 16.94 | 102.36 | 116 |
| Non-hazardous waste generation | tonnes | 1147.46 | 1021.31 | 115 |
| Non-hazardous waste generation per RMB100 million of revenue | tonnes/RMB | 2.23 | 2.05 | 115 |
| Non-hazardous waste per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 1008.01 | 5680.36 | 111, 114 |
| Non-hazardous waste total (tonnes) | tonnes | 2696557.64 | 1869.51 | 111, 114 |
| Per capita non-hazardous waste emissions from headquarters (tonnes/person) | tonnes/person | 0.52 | 0.54 | 110 |
| Total amount of non-hazardous waste (tonnes) - Headquarters | tonnes | 258.79 | 265.88 | 110 |
| Total non-hazardous waste (tonnes) | tonnes | 22053.04 | 41609.42 | 112 |
| Total non-hazardous waste per 100 million RMB of income (ton/100 million RMB) | ton/100 million RMB | 43.73 | 81.92 | 112 |
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 | 2023 | 2024 | 2025 | Report Pages |
|---|---|---|---|---|---|
| Coal gas consumption (energy) | MWh | 14.69 | 170.45 | 115 | |
| Comprehensive energy consumption per ton of steel (CITIC Pacific Special Steel) | kg of standard coal per ton of steel | 535 | 39 | ||
| Cumulative installed photovoltaic capacity (Nanjing Iron & Steel) | MW | 55 | 39 | ||
| Diesel consumption (energy) | MWh | 10784.16 | 10996.17 | 115 | |
| Direct energy consumption | MWh | 18893.02 | 18792.08 | 115 | |
| Direct energy consumption (MWh) | MWh | 1329578.82 | 36901.8 | 111, 112, 114, 116 | |
| Direct energy consumption (MWh) - Headquarters | MWh | 483.51 | 552.25 | 110 | |
| Direct energy consumption - Coal (MWh) | MWh | 133937230.41 | 132482821.28 | 114 | |
| Direct energy consumption - Coal gas (MWh) | MWh | 89.65 | 9.21 | 116 | |
| Direct energy consumption - Coke (MWh) | MWh | 9724083.26 | 37978206.78 | 114 | |
| Direct energy consumption - Diesel (MWh) | MWh | 4715.51 | 64919.65 | 111, 112, 114, 116 | |
| Direct energy consumption - Gasoline (MWh) | MWh | 6732.63 | 12337.15 | 111, 112, 114, 116 | |
| Direct energy consumption - Gasoline (MWh) - Headquarters | MWh | 483.51 | 552.25 | 110 | |
| Direct energy consumption - Liquefied petroleum gas (MWh) | MWh | 216.97 | 120857.27 | 111, 112, 114, 116 | |
| Direct energy consumption - Natural gas (MWh) | MWh | 4073327.74 | 23604.6 | 111, 112, 114, 116 | |
| Electricity consumption per capita at headquarters (MWh/person) | MWh/person | 5.06 | 5.26 | 110 | |
| Energy consumption per 100 million RMB of income (MWh/100 million RMB) | MWh/100 million RMB | 4203.23 | 4096.12 | 112 | |
| Energy consumption per RMB100 million of revenue | MWh/RMB | 334.51 | 379.09 | 115 | |
| Energy consumption per RMB100 million of revenue (MWh/RMB100 million) | MWh/RMB100 million | 60237.82 | 2147.59 | 111, 114, 116 | |
| Gasoline consumption (energy) | MWh | 7981.14 | 7504.68 | 115 | |
| Gasoline consumption per capita at headquarters (Litre/person) | Litre/person | 112.93 | 130.04 | 110 | |
| Indirect energy consumption | MWh | 153121.23 | 170269.67 | 115 | |
| Indirect energy consumption (MWh) | MWh | 13088370.15 | 825898.13 | 111, 112, 114, 116 | |
| Indirect energy consumption (MWh) - Headquarters | MWh | 2494.98 | 2572.86 | 110 | |
| Indirect energy consumption - Purchased Electricity (MWh) | MWh | 673325.85 | 902214.38 | 116 | |
| Indirect energy consumption - Purchased electricity (MWh) | MWh | 6904751.55 | 11050339.9 | 111, 112, 114 | |
| Indirect energy consumption - Purchased electricity (MWh) - Headquarters | MWh | 2494.98 | 2572.86 | 110 | |
| Indirect energy consumption - Purchased steam (MWh) | MWh | 47939.72 | 47869.83 | 112, 114 | |
| Indirect energy consumption - Renewable energy electricity (MWh) | MWh | 3101.35 | 648289.19 | 114, 116 | |
| Natural gas consumption (energy) | MWh | 113.03 | 120.79 | 115 | |
| Per capita energy consumption from headquarters (MWh/person) | MWh/person | 6.04 | 6.39 | 110 | |
| Purchased electricity (energy) | MWh | 153121.23 | 170269.67 | 115 | |
| Total energy consumption | MWh | 172014.25 | 189061.75 | 115 | |
| Total energy consumption (MWh) | MWh | 161144024.62 | 2080540.34 | 111, 112, 114, 116 | |
| Total energy consumption (MWh) - Headquarters | MWh | 2978.49 | 3125.12 | 110 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Total water consumption | m³ | 1781716.5 | 1697148.52 | 115 |
| Total water consumption (m³) | m³ | 11317489.41 | 62522219.94 | 111, 113, 114, 116 |
| Total water consumption (m³) - Headquarters | m³ | 23227 | 25785 | 110 |
| Wastewater discharge | m³ | 517388957.96 | 525061302.75 | 115 |
| Wastewater discharge (m³) | m³ | 659061 | 26244475.77 | 112, 113 |
| Water consumption per 100 million RMB of income (m³/100 million RMB) | m³/100 million RMB | 5394.09 | 5680.9 | 113 |
| Water consumption per RMB100 million of revenue | m³/RMB | 3464.87 | 3403.01 | 115 |
| Water consumption per RMB100 million of revenue (m³/RMB100 million) | m³/RMB100 million | 26097.01 | 45186.23 | 111, 114, 116 |
| Water consumption per capita at headquarters (m³/person) | m³/person | 47.11 | 52.73 | 110 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Electricity saved by energy management (CITIC Heye Investment) | kWh | 363000 | 39 |
| Heat saved by energy management (CITIC Heye Investment) | GJ | 4000 | 39 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Amount of packaging material used per 100 million RMB of income (tonnes/100 million RMB) | tonnes/100 million RMB | 36.61 | 43.56 | 113 |
| Packaging materials used per RMB100 million of revenue | tonnes/RMB100 million | 9.55 | 11.84 | 115 |
| Packaging materials used per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 4.4 | 0.4 | 114, 116 |
| Paper consumption at headquarters (tonnes) | tonnes | 1397.34 | 1661.18 | 111 |
| Total packaging material used for finished goods (tonnes) | tonnes | 18462.46 | 22126.63 | 113 |
| Total packaging materials used for finished products | tonnes | 4909.27 | 5903.33 | 115 |
| Total packaging materials used for finished products (tonnes) | tonnes | 11763.8 | 6210.18 | 114 |
| Total packaging materials used in manufacturing (tonnes) | tonnes | 312.4 | 187.82 | 116 |
| Total paper consumption | tonnes | 6887.32 | 449.34 | 115 |
| Total paper consumption (tonnes) | tonnes | 98.47 | 41.25 | 113, 114, 116 |
| Total paper consumption at headquarters (tonnes) | tonnes | 17.75 | 12.91 | 110 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Female employees (person) | person | 67437 | 67651 | 117 |
| Male employees (person) | person | 121425 | 123112 | 117 |
| Number of employees aged 30 or below (person) | person | 47015 | 46928 | 117 |
| Number of employees aged 31-35 (person) | person | 42814 | 40289 | 117 |
| Number of employees aged 36-40 (person) | person | 38006 | 40234 | 117 |
| Number of employees aged 41-45 (person) | person | 22781 | 25128 | 117 |
| Number of employees aged 46-50 (person) | person | 16195 | 16160 | 117 |
| Number of employees aged 51-55 (person) | person | 15391 | 14602 | 117 |
| Number of employees aged 56 or above (person) | person | 6660 | 7422 | 117 |
| Number of employees in Hong Kong, Macau and Taiwan (person) | person | 10071 | 10017 | 117 |
| Number of employees in other countries and regions (person) | person | 11018 | 13828 | 117 |
| Number of employees in the Chinese Mainland (person) | person | 167773 | 166918 | 117 |
| Number of employees with a PhD degree (person) | person | 989 | 958 | 117 |
| Number of employees with a bachelor's degree (person) | person | 84081 | 85437 | 117 |
| Number of employees with a master's degree (person) | person | 37736 | 39617 | 117 |
| Number of employees with an associate degree or below (person) | person | 66056 | 64751 | 117 |
| Total number of employees (person) | person | 188862 | 190763 | 117 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| CITIC Telecom International Employee turnover rate (%) | % | 12.12 | 11.74 | 119 |
| CITIC Telecom International Employee turnover rate in Hong Kong, China (%) | % | 13.47 | 13.33 | 119 |
| CITIC Telecom International Employee turnover rate in Macau, China (%) | % | 12.59 | 10.12 | 119 |
| CITIC Telecom International Employee turnover rate in the Chinese Mainland (%) | % | 9.39 | 9.04 | 119 |
| CITIC Telecom International Employee turnover rate of those aged 30 and below (%) | % | 22.18 | 21.21 | 119 |
| CITIC Telecom International Employee turnover rate of those aged 31-40 (%) | % | 9.1 | 10.49 | 119 |
| CITIC Telecom International Employee turnover rate of those aged 41-50 (%) | % | 6.73 | 6.98 | 119 |
| CITIC Telecom International Employee turnover rate of those aged 51-59 (%) | % | 7.3 | 4.15 | 119 |
| CITIC Telecom International Female employee turnover rate (%) | % | 11.05 | 11.54 | 119 |
| CITIC Telecom International Male employee turnover rate (%) | % | 12.89 | 12.1 | 119 |
| CSC Financial Employee turnover rate (%) | % | 11.73 | 9.05 | 119 |
| CSC Financial Employee turnover rate in the Chinese Mainland (%) | % | 11.64 | 8.88 | 119 |
| CSC Financial Employee turnover rate of those aged below 30 (%) | % | 19.86 | 15.63 | 119 |
| CSC Financial Female employee turnover rate (%) | % | 13.18 | 7.96 | 119 |
| CSC Financial Male employee turnover rate (%) | % | 10.65 | 9.86 | 119 |
| Employee turnover rate (CITIC Bank) | % | 2.58 | 2.14 | 118 |
| Employee turnover rate (Headquarters) | % | 0.6 | 1.8 | 118 |
| Employee turnover rate in Hong Kong, Macao, and Taiwan regions (Headquarters) | % | 0.2 | 118 | |
| Employee turnover rate in the Chinese Mainland (Headquarters) | % | 0.41 | 1.9 | 118 |
| Employee turnover rate of those aged 30 and below (CITIC Bank) | % | 4.47 | 4.53 | 118 |
| Employee turnover rate of those aged 31-40 (Headquarters) | % | 0.93 | 4.6 | 118 |
| Employee turnover rate of those aged 31-50 (CITIC Bank) | % | 2.12 | 1.55 | 118 |
| Employee turnover rate of those aged 41-50 (Headquarters) | % | 0.9 | 118 | |
| Employee turnover rate of those aged 50 and above (CITIC Bank) | % | 0.29 | 0.32 | 118 |
| Female employee turnover rate (CITIC Bank) | % | 2.4 | 2.12 | 118 |
| Female employee turnover rate (Headquarters) | % | 0.64 | 1.2 | 118 |
| Male employee turnover rate (CITIC Bank) | % | 2.81 | 2.16 | 118 |
| Male employee turnover rate (Headquarters) | % | 0.59 | 2.1 | 118 |
| Turnover rate of employees in the Circum-Bohai Sea Region (CITIC Bank) | % | 1.42 | 1.09 | 118 |
| Turnover rate of employees in the Pearl River Delta and West Side of the Taiwan Straits (CITIC Bank) | % | 3.64 | 3.19 | 118 |
| Turnover rate of employees in the Yangtze River Delta (CITIC Bank) | % | 3.12 | 2.8 | 118 |
| Turnover rate of employees in the central region (CITIC Bank) | % | 2.06 | 1.57 | 118 |
| Turnover rate of employees in the northeastern region (CITIC Bank) | % | 1.53 | 2.45 | 118 |
| Turnover rate of employees in the western region (CITIC Bank) | % | 3.29 | 2.33 | 118 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2022 | 2024 | Report Pages |
|---|---|---|---|---|
| CITIC Bank - Number of work-related fatalities (person) | person | 1 | 117 | |
| CITIC Bank - Rate of work-related fatalities (%) | % | 0.0016 | 117 | |
| CITIC Pacific Special Steel - Number of work-related fatalities (person) | person | - | 117 | |
| CITIC Pacific Special Steel - Rate of work-related fatalities (%) | % | - | 117 |
Lost days due to work injury.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Lost days due to work injury (CITIC Bank) | day | 391 | 118 |
| Lost days due to work injury (CITIC Pacific Special Steel) | day | 148 | 118 |
| Lost days due to work injury (CITIC Securities) | day | 624 | 118 |
| Lost days due to work injury (CSC Financial) | day | 549 | 118 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Number of employee training programs (Headquarters) | 84 | 71 | 120 | |
| Percentage of female employees participating in training (%) - CITIC Telecom International | % | 80.58 | 98.72 | 121 |
| Percentage of female employees participating in training (CITIC Bank) | % | 100 | 100 | 120 |
| Percentage of female employees participating in training (CSC Financial) | % | 92.6 | 86.61 | 120 |
| Percentage of female employees participating in training (Headquarters) | % | 87 | 100 | 120 |
| Percentage of first-line managerial employees participating in training (%) - CITIC Telecom International | % | 93 | 99 | 121 |
| Percentage of general employees participating in training (%) - CITIC Telecom International | % | 86 | 97 | 121 |
| Percentage of male employees participating in training (%) - CITIC Telecom International | % | 90.97 | 96.91 | 121 |
| Percentage of male employees participating in training (CITIC Bank) | % | 100 | 100 | 120 |
| Percentage of male employees participating in training (CSC Financial) | % | 95.09 | 91.5 | 120 |
| Percentage of male employees participating in training (Headquarters) | % | 92 | 100 | 120 |
| Percentage of managerial employees participating in training (CITIC Bank) | % | 100 | 100 | 120 |
| Percentage of managerial employees participating in training (CSC Financial) | % | 100 | 100 | 120 |
| Percentage of managerial employees participating in training (Headquarters) | % | 100 | 100 | 120 |
| Percentage of middle managerial employees participating in training (%) - CITIC Telecom International | % | 91 | 96 | 121 |
| Percentage of non-managerial employees participating in training (CITIC Bank) | % | 100 | 100 | 120 |
| Percentage of non-managerial employees participating in training (CSC Financial) | % | 94 | 89.33 | 120 |
| Percentage of non-managerial employees participating in training (Headquarters) | % | 89.7 | 100 | 120 |
| Percentage of senior managerial employees participating in training (%) - CITIC Telecom International | % | 100 | 100 | 121 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | 2024 | Report Pages |
|---|---|---|---|---|
| Per capita training hours received by female employees (CITIC Bank) | hours/person | 80 | 160 | 120 |
| Per capita training hours received by female employees (CSC Financial) | hours/person | 46.62 | 48.66 | 120 |
| Per capita training hours received by female employees (Headquarters) | hours/person | 70.3 | 64 | 120 |
| Per capita training hours received by female employees (hours/person) - CITIC Telecom International | hours/person | 11 | 14.4 | 121 |
| Per capita training hours received by first-line managerial employees (hours/person) - CITIC Telecom International | hours/person | 16.1 | 19.9 | 121 |
| Per capita training hours received by general employees (hours/person) - CITIC Telecom International | hours/person | 11.6 | 14.4 | 121 |
| Per capita training hours received by male employees (CITIC Bank) | hours/person | 72 | 160 | 120 |
| Per capita training hours received by male employees (CSC Financial) | hours/person | 50.18 | 48.7 | 120 |
| Per capita training hours received by male employees (Headquarters) | hours/person | 80 | 79 | 120 |
| Per capita training hours received by male employees (hours/person) - CITIC Telecom International | hours/person | 13.3 | 16 | 121 |
| Per capita training hours received by managerial employees (CITIC Bank) | hours/person | 48 | 184 | 120 |
| Per capita training hours received by managerial employees (CSC Financial) | hours/person | 331.89 | 265.51 | 120 |
| Per capita training hours received by managerial employees (Headquarters) | hours/person | 99 | 133 | 120 |
| Per capita training hours received by middle managerial employees (hours/person) - CITIC Telecom International | hours/person | 21.7 | 23.7 | 121 |
| Per capita training hours received by non-managerial employees (CITIC Bank) | hours/person | 160 | 160 | 120 |
| Per capita training hours received by non-managerial employees (CSC Financial) | hours/person | 48.5 | 47.13 | 120 |
| Per capita training hours received by non-managerial employees (Headquarters) | hours/person | 75 | 69 | 120 |
| Per capita training hours received by senior managerial employees (hours/person) - CITIC Telecom International | hours/person | 28.8 | 41.4 | 121 |
Number of suppliers by geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of suppliers from Hong Kong, Macau, Taiwan, and overseas (supplier) - CITIC Bank | 65 | 121 | |
| Number of suppliers from Hong Kong, Macau, Taiwan, and overseas (supplier) - CITIC Pacific Special Steel | 32 | 121 | |
| Number of suppliers from Hong Kong, Macau, Taiwan, and overseas (supplier) - CSC Financial | 12 | 121 | |
| Number of suppliers from the mainland of China (supplier) - CITIC Bank | 19135 | 121 | |
| Number of suppliers from the mainland of China (supplier) - CITIC Pacific Special Steel | 339 | 121 | |
| Number of suppliers from the mainland of China (supplier) - CSC Financial | 841 | 121 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 6449.53 | 8866.97 |
| NOₓ Emissions | tonnes | 8488.59 | 11308.69 |
| SOₓ Emissions | tonnes | 3631.85 | 4850.76 |
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 | 2023 | 2024 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes | 48066355.24 | 58046104.46 |
| GHG Emissions from Natural Gas | tonnes | 796492.98 | 643826.81 |
| GHG Emissions from Purchased Electricity | tonnes | 3937787.4 | 6302113 |
| Indirect Energy Emissions (Scope 2) | tonnes | 4089486.12 | 6407611.16 |
| Total GHG Emissions | tonnes | 50923049.5 | 63030402.78 |
| Total GHG Emissions Intensity (By Revenue) | tonnes/RMB100 million | 19035.73 | 19349.05 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Hazardous Waste | tonnes | 580.76 | 600.36 |
| Total Hazardous Waste Intensity (By Employee) | tonnes/person | 0.0006 | 0.0005 |
| Total Hazardous Waste Intensity (By Revenue) | tonnes/RMB | 1.13 | 1.2 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/100 million RMB | 43.73 | 81.92 |
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 | 2023 | 2024 | 2025 |
|---|---|---|---|---|
| Diesel Fuel Consumption | MWh | 10784.16 | 10996.17 | |
| Energy Consumption Intensity (By Product Weight) | kg of standard coal per ton of steel | 535 | ||
| Energy Consumption Intensity (By Revenue) | MWh/100 million RMB | 4203.23 | 4096.12 | |
| Gasoline Consumption | MWh | 7981.14 | 7504.68 | |
| LPG Consumption | MWh | 279.4 | 133.55 | |
| Natural Gas Consumption | MWh | 113.03 | 120.79 | |
| Purchased Electricity | MWh | 153121.23 | 170269.67 | |
| Purchased Steam | MWh | 47939.72 | 47869.83 | |
| Renewable Energy Consumption | MWh | 5800541.02 | 648289.19 | |
| Total Direct Energy Consumption | MWh | 148055654.47 | 173946356.59 | |
| Total Energy Consumption | MWh | 161144024.62 | 185911652 | |
| Total Indirect Energy Consumption | MWh | 13088370.15 | 11965295.41 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Total Wastewater Discharge | m³ | 517388957.96 | 525061302.75 |
| Total Water Withdrawal | m³ | 60158521.88 | 62522219.94 |
| Water Consumption | m³ | 1781716.5 | 1697148.52 |
| Water Consumption Intensity (By Revenue) | m³/100 million RMB | 5394.09 | 5680.9 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | kWh | 363000 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Packaging Material Intensity (By Revenue) | tonnes/100 million RMB | 36.61 | 43.56 |
| Packaging Materials Consumed | tonnes | 18462.46 | 22126.63 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | person | 84081 | 85437 |
| Number of Below Junior College Employees | person | 66056 | 64751 |
| Number of Doctoral Degree Employees | person | 989 | 958 |
| Number of Employees Aged 30-50 | person | 119796 | 131413 |
| Number of Employees Aged Above 50 | person | 22051 | 22022 |
| Number of Employees Aged Below 30 | person | 47015 | 46928 |
| Number of Employees in Mainland China | person | 167773 | 166918 |
| Number of Female Employees | person | 67437 | 67651 |
| Number of Male Employees | person | 121425 | 123112 |
| Number of Master's Degree Employees | person | 37736 | 39617 |
| Number of Total Employees | person | 188862 | 190763 |
| Percentage of Bachelor's Degree Employees | % | 44.53 | 44.79 |
| Percentage of Below Junior College Employees | % | 34.97 | 33.95 |
| Percentage of Doctoral Degree Employees | % | 0.52 | 0.5 |
| Percentage of Employees Aged 30-50 | % | 63.47 | 68.91 |
| Percentage of Employees Aged Above 50 | % | 11.67 | 11.54 |
| Percentage of Employees Aged Below 30 | % | 24.9 | 24.6 |
| Percentage of Female Employees | % | 35.69 | 35.47 |
| Percentage of Male Employees | % | 64.31 | 64.53 |
| Percentage of Master's Degree Employees | % | 19.99 | 20.77 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 8.925 | 8.735 |
| Turnover Rate of Employees Aged Above 50 | % | 7.3 | 4.15 |
| Turnover Rate of Employees Aged Below 30 | % | 22.18 | 21.21 |
| Turnover Rate of Employees in Hong Kong | % | 13.47 | 13.33 |
| Turnover Rate of Employees in Macau | % | 12.59 | 10.12 |
| Turnover Rate of Employees in Mainland China | % | 9.39 | 9.04 |
| Turnover Rate of Female Employees | % | 11.05 | 11.54 |
| Turnover Rate of Male Employees | % | 12.89 | 12.1 |
| Turnover Rate of Total Employees | % | 12.12 | 11.74 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Work-related Fatalities | person | 1 |
| Work-related Fatalities Rate | % | 0.0016 |
Lost days due to work injury.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Lost Days Due to Work-related Injuries | day | 1712 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Percentage of Trained Female Employees | % | 80.58 | 100 |
| Percentage of Trained First-Line Management | % | 93 | 99 |
| Percentage of Trained General Employees | % | 86 | 97 |
| Percentage of Trained Male Employees | % | 100 | 100 |
| Percentage of Trained Managerial Employees | % | 100 | 100 |
| Percentage of Trained Middle Management | % | 91 | 96 |
| Percentage of Trained Non-Managerial Employees | % | 94 | 89.33 |
| Percentage of Trained Senior Management | % | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Average Training Hours (Female) | hours/person | 80 | 48.66 |
| Average Training Hours (General Employees) | hours/person | 75 | 160 |
| Average Training Hours (General Staff) | hours/person | 11.6 | 14.4 |
| Average Training Hours (Male) | hours/person | 50.18 | 16 |
| Average Training Hours (Middle Management) | hours/person | 21.7 | 23.7 |
| Average Training Hours (Senior Management) | hours/person | 331.89 | 41.4 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Suppliers in Mainland China | 20315 | |
| Number of Total Suppliers | 20524 |