Environmental, Social and Governance (ESG) Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Advanced Materials - Ammonia nitrogen emissions | tonnes | 44.19 | 108 |
Advanced Materials - Chemical oxygen demand (COD) emissions | tonnes | 628.52 | 108 |
Advanced Materials - Nitrogen oxide (NOx) emissions | tonnes | 8322.57 | 108 |
Advanced Materials - Particulate matter emissions | tonnes | 6340.12 | 108 |
Advanced Materials - Sulphur dioxide (SO₂) emissions | tonnes | 3588.63 | 108 |
Advanced Materials - Total phosphorus emissions | tonnes | 3.11 | 108 |
Ammonia nitrogen emissions (tonnes) | tonnes | 0.004 | 111 |
Ammonia nitrogen emissions (tonnes) - Advanced Intelligent Manufacturing | tonnes | 5.55 | 106 |
Chemical oxygen demand (COD) emissions (tonnes) | tonnes | 0.06 | 111 |
Chemical oxygen demand (COD) emissions (tonnes) - Advanced Intelligent Manufacturing | tonnes | 93.07 | 106 |
Nitrogen oxide (NOx) emissions | tonnes | 2.75 | 110 |
Nitrogen oxide (NOx) emissions (tonnes) | tonnes | 0.01 | 104, 105, 111 |
Nitrogen oxide (NOx) emissions (tonnes) - Advanced Intelligent Manufacturing | tonnes | 123.33 | 106 |
Particulate matter emissions (tonnes) | tonnes | 26.75 | 111 |
Particulate matter emissions (tonnes) - Advanced Intelligent Manufacturing | tonnes | 82.66 | 106 |
Sulphur dioxide (SO2) emissions | tonnes | 0.03 | 110 |
Sulphur dioxide (SO2) emissions (tonnes) | tonnes | 0.0008 | 104 |
Sulphur dioxide (SO₂) emissions (tonnes) | tonnes | 0.02 | 105, 111 |
Sulphur dioxide (SO₂) emissions (tonnes) - Advanced Intelligent Manufacturing | tonnes | 16.61 | 106 |
Total phosphorus emissions (tonnes) | tonnes | 1.17 | 107 |
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 | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|
Advanced Intelligent Manufacturing - Indirect GHG emissions (Scope 2) | tonnes | 790280.37 | 108 | ||
Advanced Intelligent Manufacturing - Indirect GHG emissions (Scope 2) - Purchased electricity | tonnes | 742340.65 | 108 | ||
Advanced Intelligent Manufacturing - Indirect GHG emissions (Scope 2) - Purchased steam | tonnes | 47939.72 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) | tonnes | 48606355.24 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) - Coal | tonnes | 42072928.1 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) - Coke | tonnes | 3521498.96 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) - Diesel | tonnes | 19003.72 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) - Gasoline | tonnes | 2157.07 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) - Intermediate process emissions | tonnes | 2141062.36 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) - Liquefied petroleum gas | tonnes | 53212.06 | 108 | ||
Advanced Materials - Direct greenhouse gas emissions (Scope 1) - Natural gas | tonnes | 796492.98 | 108 | ||
Advanced Materials - Greenhouse gas emissions per RMB100 million of revenue | tonnes/RMB100 million | 19035.73 | 108 | ||
Advanced Materials - Total greenhouse gas emissions (Scope 1 and Scope 2) | tonnes | 50923049.5 | 108 | ||
CITIC Metal carbon emissions reduction per unit of titanium dioxide | percent | 13 | 40 | ||
CITIC Pacific Special Steel - carbon emission reduction | tons | 78000 | 44 | ||
CITIC Pacific Special Steel carbon reduction realized | tons | 78000 | 40 | ||
Carbon allowances purchased by CITIC Jinzhou Metal in the trading market | tons | 27757 | 48 | ||
Cumulative carbon dioxide emission reduction by CITIC Carbon Account users | tons | 10000 | 48 | ||
Direct GHG emissions (Scope 1) (tonnes) | tonnes | 260468.32 | 107 | ||
Direct GHG emissions (Scope 1) - Diesel (tonnes) | tonnes | 1392.06 | 107 | ||
Direct GHG emissions (Scope 1) - Gasoline (tonnes) | tonnes | 598.83 | 107 | ||
Direct GHG emissions (Scope 1) - Liquefied petroleum gas (tonnes) | tonnes | 45.36 | 107 | ||
Direct GHG emissions (Scope 1) - Natural gas (tonnes) | tonnes | 258430.08 | 107 | ||
Direct greenhouse gas emissions (Scope 1) | tonnes | 4812.47 | 110 | ||
Direct greenhouse gas emissions (Scope 1) (tonnes) | tonnes | 6495.12 | 104, 105, 111 | ||
Direct greenhouse gas emissions (Scope 1) - Coal gas | tonnes | 1.97 | 110 | ||
Direct greenhouse gas emissions (Scope 1) - Coal gas (tonnes) | tonnes | 12.04 | 105, 111 | ||
Direct greenhouse gas emissions (Scope 1) - Diesel | tonnes | 2834 | 110 | ||
Direct greenhouse gas emissions (Scope 1) - Diesel (tonnes) | tonnes | 1239.2 | 105, 111 | ||
Direct greenhouse gas emissions (Scope 1) - Gasoline | tonnes | 1954.39 | 110 | ||
Direct greenhouse gas emissions (Scope 1) - Gasoline (tonnes) | tonnes | 1648.66 | 105, 111 | ||
Direct greenhouse gas emissions (Scope 1) - Liquefied petroleum gas (tonnes) | tonnes | 50.38 | 105, 111 | ||
Direct greenhouse gas emissions (Scope 1) - Natural gas | tonnes | 22.1 | 110 | ||
Direct greenhouse gas emissions (Scope 1) - Natural gas (tonnes) | tonnes | 25218.93 | 105, 111 | ||
Direct greenhouse gas emissions (Scope 1) – Gasoline (tonnes) | tonnes | 118.4 | 104 | ||
Estimated reduction in CO2 emissions from niobium-containing steel application (CITIC Metal Holdings, China, 2022) | million tons | 18 | 46 | ||
GHG emissions per 100 million RMB of income (tonnes/100 million RMB) | tonnes/100 million RMB | 1393.52 | 107 | ||
Greenhouse gas emissions per RMB100 million of revenue | tonnes/RMB | 187.66 | 110 | ||
Greenhouse gas emissions per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 950.6 | 105, 111 | ||
Implicit emissions of carbon sequestration product (deductible) | tonnes | -1772791.86 | 109 | ||
Indirect GHG emissions (Scope 2) (tonnes) | tonnes | 442341 | 107 | ||
Indirect GHG emissions (Scope 2) - Purchased electricity (tonnes) | tonnes | 423356.87 | 107 | ||
Indirect GHG emissions (Scope 2) - Purchased steam (tonnes) | tonnes | 18984.13 | 107 | ||
Indirect greenhouse gas emissions (Scope 2) | tonnes | 91686.63 | 110 | ||
Indirect greenhouse gas emissions (Scope 2) (tonnes) | tonnes | 1422.89 | 104, 109, 111 | ||
Indirect greenhouse gas emissions (Scope 2) (tonnes) - Comprehensive Financial Services | tonnes | 185597.52 | 106 | ||
Indirect greenhouse gas emissions (Scope 2) - Purchased electricity | tonnes | 91686.63 | 110 | ||
Indirect greenhouse gas emissions (Scope 2) - Purchased electricity (tonnes) | tonnes | 384081.74 | 111 | ||
Indirect greenhouse gas emissions (Scope 2) – Purchased electricity (tonnes) | tonnes | 1422.89 | 104 | ||
Per capita greenhouse gas emissions from headquarters (tonnes/person) | tonnes/person | 3.13 | 104 | ||
Purchased electricity (Scope 2 GHG emissions) | tonnes | 3937787.4 | 109 | ||
Purchased electricity - Indirect greenhouse gas emissions (Scope 2) (tonnes) - Comprehensive Financial Services | tonnes | 185597.52 | 106 | ||
Purchased steam (Scope 2 GHG emissions) | tonnes | 151698.72 | 109 | ||
Reduction in carbon emissions per unit of output compared to 2020 levels | % | -18 | 39 | ||
Total GHG emissions (Scope 1 and 2) (tonnes) | tonnes | 702807.33 | 107 | ||
Total greenhouse gas emissions (Scope 1 and Scope 2) | tonnes | 96499.1 | 110 | ||
Total greenhouse gas emissions (Scope 1 and Scope 2) (tonnes) | tonnes | 192092.63 | 104, 105, 111 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Estimated reduction in low-strength steel consumption from niobium-containing steel application (CITIC Metal Holdings, China, 2022) | million tons | 9 | 46 | |
Hazardous Waste per RMB100 million of revenue | tonnes/RMB100 million | 56.31 | 112 | |
Hazardous waste generation | tonnes | 580.76 | 110 | |
Hazardous waste generation per RMB100 million of revenue | tonnes/RMB | 1.13 | 110 | |
Hazardous waste per RMB100 million of revenue | tonnes/RMB100 million | 16.36 | 109 | |
Hazardous waste per RMB100 million of revenue - Comprehensive Financial Services | 0.13 | 106 | ||
Hazardous waste total | tonnes | 43758.3 | 109, 112 | |
Hazardous waste total (tonnes/RMB100 million) - Comprehensive Financial Services | tonnes/RMB100 million | 339.16 | 106 | |
Per capita hazardous waste emissions from headquarters (tonnes/person) | tonnes/person | 0.0006 | 104 | |
Total amount of hazardous waste (tonnes) | tonnes | 0.28 | 104 | |
Total hazardous waste (tonnes) | tonnes | 13351.91 | 107 | |
Total hazardous waste per 100 million RMB of income (tonnes/100 million RMB) | tonnes/100 million RMB | 26.47 | 107 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Advanced Intelligent Manufacturing - Total paper consumption | tonnes | 45.68 | 108 |
Non-Hazardous Waste Total | tonnes | 7346.9 | 112 |
Non-Hazardous Waste per RMB100 million of revenue | tonnes/RMB100 million | 16.94 | 112 |
Non-hazardous waste generation | tonnes | 1147.46 | 110 |
Non-hazardous waste generation per RMB100 million of revenue | tonnes/RMB | 2.23 | 110 |
Non-hazardous waste per RMB100 million of revenue | tonnes/RMB100 million | 1008.01 | 109 |
Non-hazardous waste per RMB100 million of revenue (tonnes/RMB100 million) - Comprehensive Financial Services | tonnes/RMB100 million | 0.55 | 106 |
Non-hazardous waste total | tonnes | 2696557.64 | 109 |
Non-hazardous waste total (tonnes) - Comprehensive Financial Services | tonnes | 1487.32 | 106 |
Per capita non-hazardous waste emissions from headquarters (tonnes/person) | tonnes/person | 0.52 | 104 |
Total amount of non-hazardous waste (tonnes) | tonnes | 258.79 | 104 |
Total non-hazardous waste (tonnes) | tonnes | 22053.04 | 107 |
Total non-hazardous waste per 100 million RMB of income (tonnes/100 million RMB) | tonnes/100 million RMB | 43.73 | 107 |
Total recycled aluminium utilised by end of 2023 (CITIC Dicastal) | tons | 11636 | 43 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2025 | 2030 | 2035 | 2050 | 2060 | Report Pages |
---|---|---|---|---|---|---|---|
CITIC Heye carbon neutrality target (CITIC Tower) | carbon neutrality | 40 | |||||
CITIC Pacific Energy unit emissions intensity target | tons/MWh | 0.835 | 40 | ||||
CITIC Pacific Special Steel carbon emissions reduction target | percent | 20 | 40 | ||||
CITIC Pacific Special Steel carbon neutrality target | carbon neutrality | 40 | |||||
CITIC Pacific Special Steel carbon peaking target | carbon peaking | 40 |
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 | Report Pages |
---|---|---|---|
Annual green electrolytic aluminium usage (CITIC Dicastal) | tons | 332500 | 46 |
CITIC Dicastal - total annual power capacity of distributed rooftop photovoltaic power stations | million kilowatt hours | 6 | 44 |
CITIC Dicastal green power aluminium utilised | tons | 332500 | 40 |
CITIC Pacific Energy - increase in wind and solar new energy power generation capacity year on year | 200% | 44 | |
CITIC Pacific Energy - wind and solar new energy power generation capacity | million kilowatt hours | 427 | 44 |
CITIC Pacific Mining - number of 1600-watt solar panels and energy storage battery systems installed | sets | 18 | 44 |
CITIC Pacific Special Steel - annual output of green electricity | million kilowatt hours | 135 | 44 |
CITIC Pacific Special Steel - total installed PV capacity | MW | 123 | 44 |
CITIC Pacific Special Steel annual output of green electricity | kWh | 135000000 | 40 |
CITIC Pacific Special Steel total installed capacity of photovoltaic | MW | 123 | 40 |
Coal consumption | MWh | 133937230.41 | 109 |
Coal gas - Direct energy consumption (MWh) - Comprehensive Financial Services | MWh | 19.56 | 106 |
Coke consumption | MWh | 9724083.26 | 109 |
Diesel - Direct energy consumption (MWh) - Comprehensive Financial Services | MWh | 41.51 | 106 |
Diesel consumption | MWh | 72314.35 | 109 |
Direct energy consumption | MWh | 140726.34 | 109, 110, 112 |
Direct energy consumption (MWh) | MWh | 1329578.82 | 107 |
Direct energy consumption (MWh) - Comprehensive Financial Services | MWh | 30117.79 | 106 |
Direct energy consumption - Coal gas | MWh | 14.69 | 110, 112 |
Direct energy consumption - Diesel | MWh | 4715.51 | 110, 112 |
Direct energy consumption - Diesel (MWh) | MWh | 5297.16 | 107 |
Direct energy consumption - Gasoline | MWh | 6732.63 | 110, 112 |
Direct energy consumption - Gasoline (MWh) | MWh | 2445.42 | 107 |
Direct energy consumption - Liquefied petroleum gas | MWh | 216.97 | 112 |
Direct energy consumption - Liquefied petroleum gas (MWh) | MWh | 204.48 | 107 |
Direct energy consumption - Natural gas | MWh | 128971.57 | 110, 112 |
Direct energy consumption - Natural gas (MWh) | MWh | 1321631.75 | 107 |
Direct energy consumption at headquarters (MWh) | MWh | 483.51 | 105 |
Direct energy consumption at headquarters - Gasoline (MWh) | MWh | 483.51 | 105 |
Electricity consumption per capita at headquarters (MWh/person) | MWh/person | 5.06 | 105 |
Energy consumption per 100 million RMB of income (MWh/100 million RMB) | MWh/100 million RMB | 4203.23 | 107 |
Energy consumption per RMB100 million of revenue | MWh/RMB, MWh/RMB100 million | 1884.28 | 109, 110, 112 |
Energy consumption per RMB100 million of revenue (MWh/RMB100 million) - Comprehensive Financial Services | MWh/RMB100 million | 132.18 | 106 |
Gasoline - Direct energy consumption (MWh) - Comprehensive Financial Services | MWh | 12127.85 | 106 |
Gasoline consumption | MWh | 8808.78 | 109 |
Gasoline consumption per capita at headquarters (litre/person) | litre/person | 112.93 | 105 |
Indirect energy consumption | MWh | 676427.2 | 109, 110, 112 |
Indirect energy consumption (MWh) - Comprehensive Financial Services | MWh | 324191.53 | 106 |
Indirect energy consumption - Purchased Electricity | MWh | 673325.85 | 112 |
Indirect energy consumption - Purchased electricity | MWh | 153121.23 | 110 |
Indirect energy consumption - Renewable energy electricity | MWh | 3101.35 | 112 |
Indirect energy consumption at headquarters (MWh) | MWh | 2494.98 | 105 |
Indirect energy consumption at headquarters - Purchased electricity (MWh) | MWh | 2494.98 | 105 |
Liquefied petroleum gas - Direct energy consumption (MWh) - Comprehensive Financial Services | MWh | 227.11 | 106 |
Liquefied petroleum gas consumption | MWh | 239889.92 | 109 |
Natural gas - Direct energy consumption (MWh) - Comprehensive Financial Services | MWh | 17701.77 | 106 |
Natural gas consumption | MWh | 4073327.74 | 109 |
Per capita energy consumption from headquarters (MWh/person) | MWh/person | 6.04 | 105 |
Purchased electricity (indirect energy consumption) | MWh | 6904751.55 | 109 |
Purchased electricity - Indirect energy consumption (MWh) - Comprehensive Financial Services | MWh | 324191.53 | 106 |
Purchased steam (indirect energy consumption) | MWh | 383077.58 | 109 |
Renewable energy electricity (indirect energy consumption) | MWh | 5800541.02 | 109 |
Total energy consumption | MWh | 172014.25 | 109, 110, 112 |
Total energy consumption (MWh) | MWh | 2119859.19 | 107 |
Total energy consumption (MWh) - Comprehensive Financial Services | MWh | 354309.32 | 106 |
Total energy consumption at headquarters (MWh) | MWh | 2978.49 | 105 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Advanced Intelligent Manufacturing - Total water consumption | m³ | 2720456.68 | 108 |
Advanced Intelligent Manufacturing - Water consumption per 100 million RMB of income | m³/100 million RMB | 5394.09 | 108 |
Advanced Materials - Wastewater discharge | m³ | 11326338.95 | 108 |
Total water consumption | m³ | 11317489.41 | 109, 112 |
Total water consumption (m³) | m³ | 1781716.5 | 111 |
Total water consumption (m³) - Comprehensive Financial Services | m³ | 2526794.89 | 106 |
Total water consumption at headquarters (m³) | m³ | 23227 | 105 |
Wastewater discharge (m³) | m³ | 517388957.96 | 107, 111 |
Water consumption per RMB100 million of revenue | m³/RMB100 million | 22488.07 | 109, 112 |
Water consumption per RMB100 million of revenue (m³/RMB) | m³/RMB100 million | 3464.87 | 111 |
Water consumption per RMB100 million of revenue (m³/RMB100 million) - Comprehensive Financial Services | m³/RMB100 million | 942.67 | 106 |
Water consumption per capita at headquarters (m³/person) | m³/person | 47.11 | 105 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2021–2025 | 2023 | 2025 | 2030 | Report Pages |
---|---|---|---|---|---|---|
CITIC Pacific Energy installed photovoltaic power capacity target | MW | 1500 | 40 | |||
CITIC Pacific Energy installed wind power capacity target | MW | 1500 | 40 | |||
CITIC Pacific Special Steel comprehensive energy consumption target | kg of standard coal/tonne of steel | 535 | 40 | |||
CITIC Securities headquarters building clean energy consumption target (Beijing) | percent | 100 | 40 | |||
Number of CITIC Carbon Account users | 8000000 | 48 |
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 | 2023 | Report Pages |
---|---|---|---|
CITIC Dicastal - target for reuse of reclaimed water at industrial park | percent | 50 | 49 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Advanced Intelligent Manufacturing - Amount of packaging material used per 100 million RMB of income | tonnes/100 million RMB | 36.61 | 108 |
Advanced Intelligent Manufacturing - Total packaging material used for finished goods | tonnes | 18462.46 | 108 |
Annual usage of recycled aluminium (CITIC Dicastal) | tons | 11636 | 46 |
Packaging materials used per RMB100 million of revenue | tonnes/RMB100 million | 0.72 | 109, 112 |
Packaging materials used per RMB100 million of revenue (tonnes/RMB100 million) | tonnes/RMB100 million | 9.55 | 111 |
Paper consumption at headquarters (tonnes) - Comprehensive Financial Services | tonnes | 1326.99 | 106 |
Total packaging materials used for finished products | tonnes | 11763.8 | 109 |
Total packaging materials used for finished products (tonnes) | tonnes | 4909.27 | 111 |
Total packaging materials used in manufacturing | tonnes | 312.4 | 112 |
Total paper consumption | tonnes | 169.64 | 109, 112 |
Total paper consumption (tonnes) | tonnes | 6887.32 | 111 |
Total paper consumption at headquarters (tonnes) | tonnes | 17.75 | 105 |
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 |
---|---|---|---|
CITIC Securities investment in green bonds and rural revitalisation bonds in its own asset management portfolio | RMB billion | 42.297 | 47 |
CITIC Securities number of green bonds underwritten | bonds | 150 | 40 |
CITIC Securities value of green bonds underwritten | RMB billion | 16 | 40 |
CITIC Securities year-over-year increase in green bonds and rural revitalisation bonds in its own asset management portfolio | % | 10.61 | 47 |
CITIC Trust green finance-related trust projects raised | RMB billion | 10 | 47 |
Share of overseas production bases using qualified green electrolytic aluminium resources (CITIC Dicastal) | % | 100 | 46 |
Share of production lines in Chinese mainland using qualified green electrolytic aluminium resources (CITIC Dicastal) | % | 50 | 46 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Female employees (person) | person | 67437 | 113 |
Male employees (person) | person | 121425 | 113 |
Number of employees aged 30 or below (person) | person | 47015 | 113 |
Number of employees aged 31-35 (person) | person | 42814 | 113 |
Number of employees aged 36-40 (person) | person | 38006 | 113 |
Number of employees aged 41-45 (person) | person | 22781 | 113 |
Number of employees aged 46-50 (person) | person | 16195 | 113 |
Number of employees aged 51-55 (person) | person | 15391 | 113 |
Number of employees aged 56 or above (person) | person | 6660 | 113 |
Number of employees in Hong Kong, Macau and Taiwan (person) | person | 10071 | 113 |
Number of employees in other countries and regions (person) | person | 11018 | 113 |
Number of employees in the Chinese Mainland (person) | person | 167773 | 113 |
Number of employees with a PhD degree (person) | person | 989 | 113 |
Number of employees with a bachelor's degree (person) | person | 84081 | 113 |
Number of employees with a master's degree (person) | person | 37736 | 113 |
Number of employees with an associate degree or below (person) | person | 66056 | 113 |
Total number of employees (person) | person | 188862 | 113 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
CITIC Bank - Employee turnover rate | % | 2.58 | 114 |
CITIC Bank - Employee turnover rate in the central region | % | 2.06 | 114 |
CITIC Bank - Employee turnover rate in the eastern region | % | 2.63 | 114 |
CITIC Bank - Employee turnover rate in the northeastern region | % | 1.51 | 114 |
CITIC Bank - Employee turnover rate in the western region | % | 3.29 | 114 |
CITIC Bank - Employee turnover rate of those aged 30 and below | % | 4.47 | 114 |
CITIC Bank - Employee turnover rate of those aged 31-40 | % | 2.46 | 114 |
CITIC Bank - Employee turnover rate of those aged 41-50 | % | 1.02 | 114 |
CITIC Bank - Employee turnover rate of those aged 51-59 | % | 0.29 | 114 |
CITIC Bank - Female employee turnover rate | % | 2.4 | 114 |
CITIC Bank - Male employee turnover rate | % | 2.81 | 114 |
CITIC Resources Employee turnover rate | % | 21.91 | 115 |
CITIC Resources Employee turnover rate in Hong Kong, Macao, and Taiwan regions | % | 36 | 115 |
CITIC Resources Employee turnover rate in the Chinese Mainland | % | 14.86 | 115 |
CITIC Resources Employee turnover rate of those aged 30 and below | % | 33.33 | 115 |
CITIC Resources Employee turnover rate of those aged 31-40 | % | 7.69 | 115 |
CITIC Resources Employee turnover rate of those aged 41-50 | % | 29.09 | 115 |
CITIC Resources Employee turnover rate of those aged 51-59 | % | 27.49 | 115 |
CITIC Resources Female employee turnover rate | % | 16.44 | 115 |
CITIC Resources Male employee turnover rate | % | 27.04 | 115 |
CITIC Telecom International Employee turnover rate | % | 12.12 | 115 |
CITIC Telecom International Employee turnover rate in Hong Kong, Macao, and Taiwan regions | % | 12.91 | 115 |
CITIC Telecom International Employee turnover rate in other countries and regions | % | 14.91 | 115 |
CITIC Telecom International Employee turnover rate in the Chinese Mainland | % | 9.39 | 115 |
CITIC Telecom International Employee turnover rate of those aged 30 and below | % | 22.18 | 115 |
CITIC Telecom International Employee turnover rate of those aged 31-40 | % | 9.1 | 115 |
CITIC Telecom International Employee turnover rate of those aged 41-50 | % | 6.73 | 115 |
CITIC Telecom International Employee turnover rate of those aged 51-59 | % | 7.3 | 115 |
CITIC Telecom International Employee turnover rate of those aged 60 and above | % | 58.33 | 115 |
CITIC Telecom International Female employee turnover rate | % | 11.05 | 115 |
CITIC Telecom International Male employee turnover rate | % | 12.89 | 115 |
CSC Financial - Employee turnover rate | % | 11.73 | 114 |
CSC Financial - Employee turnover rate in the Chinese Mainland | % | 11.64 | 114 |
CSC Financial - Employee turnover rate of those aged 30 and below | % | 19.86 | 114 |
CSC Financial - Female employee turnover rate | % | 13.18 | 114 |
CSC Financial - Male employee turnover rate | % | 10.65 | 114 |
Headquarters - Employee turnover rate | % | 0.6 | 114 |
Headquarters - Employee turnover rate in the Chinese Mainland | % | 0.41 | 114 |
Headquarters - Employee turnover rate of those aged 31-40 | % | 0.93 | 114 |
Headquarters - Employee turnover rate of those aged 41-50 | % | 0.9 | 114 |
Headquarters - Female employee turnover rate | % | 0.64 | 114 |
Headquarters - Male employee turnover rate | % | 0.59 | 114 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
CITIC Bank - Percentage of female employees participating in training | % | 100 | 116 |
CITIC Bank - Percentage of male employees participating in training | % | 100 | 116 |
CITIC Bank - Percentage of managerial employees participating in training | % | 100 | 116 |
CITIC Bank - Percentage of non-managerial employees participating in training | % | 100 | 116 |
CITIC Resources - Percentage of female employees participating in training | % | 70.83 | 117 |
CITIC Resources - Percentage of male employees participating in training | % | 92.28 | 117 |
CITIC Resources - Percentage of managerial employees participating in training | % | 90.48 | 117 |
CITIC Resources - Percentage of non-managerial employees participating in training | % | 88.64 | 117 |
CITIC Telecom International - Percentage of female employees participating in training | % | 80.58 | 117 |
CITIC Telecom International - Percentage of male employees participating in training | % | 90.97 | 117 |
CITIC Telecom International - Percentage of managerial employees participating in training | % | 92.8 | 117 |
CITIC Telecom International - Percentage of non-managerial employees participating in training | % | 86.27 | 117 |
CSC Financial - Percentage of female employees participating in training | % | 92.6 | 116 |
CSC Financial - Percentage of male employees participating in training | % | 95.09 | 116 |
CSC Financial - Percentage of managerial employees participating in training | % | 100 | 116 |
CSC Financial - Percentage of non-managerial employees participating in training | % | 94 | 116 |
Headquarters - Percentage of female employees participating in training | % | 87 | 116 |
Headquarters - Percentage of male employees participating in training | % | 92 | 116 |
Headquarters - Percentage of managerial employees participating in training | % | 100 | 116 |
Headquarters - Percentage of non-managerial employees participating in training | % | 89.7 | 116 |
Number of employee training programs | 84 | 116 | |
Professional training sessions hosted by CSC Financial | 73 | 59 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
CITIC Bank - Per capita training hours received by female employees | hours/person | 80 | 116 |
CITIC Bank - Per capita training hours received by male employees | hours/person | 72 | 116 |
CITIC Resources - Per capita training hours received by female employees | hours/person | 21.28 | 117 |
CITIC Resources - Per capita training hours received by male employees | hours/person | 60.91 | 117 |
CITIC Resources - Per capita training hours received by managerial employees | hours/person | 67.33 | 117 |
CITIC Resources - Per capita training hours received by non-managerial employees | hours/person | 33.73 | 117 |
CITIC Telecom International - Per capita training hours received by female employees | hours/person | 11.04 | 117 |
CITIC Telecom International - Per capita training hours received by male employees | hours/person | 13.32 | 117 |
CITIC Telecom International - Per capita training hours received by managerial employees | hours/person | 17.04 | 117 |
CITIC Telecom International - Per capita training hours received by non-managerial employees | hours/person | 11.64 | 117 |
CSC Financial - Per capita training hours received by female employees | hours/person | 46.62 | 116 |
CSC Financial - Per capita training hours received by male employees | hours/person | 50.18 | 116 |
CSC Financial - Per capita training hours received by managerial employees | hours/person | 331.89 | 116 |
CSC Financial - Per capita training hours received by non-managerial employees | hours/person | 48.5 | 116 |
Headquarters - Per capita training hours received by female employees | hours/person | 70.3 | 116 |
Headquarters - Per capita training hours received by male employees | hours/person | 80 | 116 |
Headquarters - Per capita training hours received by managerial employees | hours/person | 99 | 116 |
Headquarters - Per capita training hours received by non-managerial employees | hours/person | 75 | 116 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Balance of CITIC Easy Loans | billion RMB | 545.076 | 59 |
CITIC Bank balance of green credit | RMB billion | 459.022 | 40 |
CITIC Bank green credit increase over previous year | percent | 37.4 | 40 |
CITIC Bank green financial bond deposit products issued | products | 191 | 47 |
CITIC Bank green financial bonds issued | RMB billion | 108.385 | 47 |
CITIC Bank new energy vehicle loans released | RMB billion | 8.687 | 47 |
CITIC Financial asset management department investment in ESG-themed bonds | RMB billion | 49.649 | 47 |
CITIC Financial asset management department investment in ESG-themed stock | RMB billion | 3.445 | 47 |
CITIC Pacific Energy - new energy business operating income | million RMB | 180.91 | 44 |
CITIC Pacific Energy - number of new energy projects completed | projects | 71 | 44 |
Credits released by CITIC Trust | billion RMB | 40.2 | 59 |
Number of new clients with outstanding CITIC Easy Loans | 53600 | 59 | |
Technology SMEs served by CITIC Securities | 52 | 59 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
ABS products participated by CITIC Securities | 4 | 59 | |
Claims paid by CSC Financial | million RMB | 107 | 59 |
Number of clients with outstanding CITIC Easy Loans | 283600 | 59 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Intellectual property pledges completed by CITIC Securities | 107 | 59 |
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 |
---|---|---|---|
Number of typical violations of discipline and laws reported in warning education campaign | 14 | 24 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of employees who made a self-review of Code of Conduct fulfilment | employees | 180000 | 26 |
Number of functional departments issued notice of rectification for Code of Conduct | departments | 13 | 26 |
Number of promotional videos on integrity-based culture produced | 5 | 24 | |
Number of subsidiaries issued notice of rectification for Code of Conduct | subsidiaries | 22 | 26 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Number of special integrity courses introduced during training sessions for newly recruited personnel and young to middle-aged cadres | 14 | 24 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
CITIC Holdings R&D expenses increase compared to previous year | increase | >100% | 98 |
Insurance and futures projects launched by CSC Financial | 76 | 59 | |
Investments in technology | increase | 26% | 98 |
Risk protection for agricultural production by CSC Financial | billion RMB | 5.523 | 59 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Change in technological investment intensity compared to 2022 | percentage points | 0.62 | 98 |
Increase in balance of CITIC Easy Loans over previous year | billion RMB | 99.084 | 59 |
Technological investment intensity | % | 3.34 | 98 |
Total value of ABS products participated by CITIC Securities | billion RMB | 1 | 59 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2023 |
---|---|---|
Airborne Particulate Matter (PM) Emissions | tonnes | 6449.53 |
NOₓ Emissions | tonnes | 8488.39 |
SOₓ Emissions | tonnes | 3631.81 |
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).
Standard Indicator | Unit | 2022 | 2023 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes | 28166.97 | |
GHG Emissions from Natural Gas | tonnes | 25218.93 | |
GHG Emissions from Purchased Electricity | tonnes | 185597.52 | |
Indirect Energy Emissions (Scope 2) | tonnes | 790280.37 | |
Total GHG Emissions | tonnes | 18000000 | 702807.33 |
Total GHG Emissions Intensity (By Revenue) | tonnes/RMB100 million | 71.66 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Total Hazardous Waste | tonnes | 0.28 |
Total Hazardous Waste Intensity (By Employee) | tonnes/person | 0.0006 |
Total Hazardous Waste Intensity (By Revenue) | tonnes/RMB100 million | 1.13 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Non-Hazardous Waste Disposed | tonnes | 1147.46 |
Non-Hazardous Waste Recycled | tons | 11636 |
Paper Waste | tonnes | 45.68 |
Total Non-Hazardous Waste Intensity (By Employee) | tonnes/person | 0.52 |
Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/RMB100 million | 2.23 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2035 |
---|---|---|
GHG Emissions Reduction Compared to Last Year | tons | |
Target GHG Emissions Reduction Percentage by 2030 Compared to 2021 | percent | 20 |
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 |
---|---|---|
Diesel Fuel Consumption | MWh | 72314.35 |
Energy Consumption Intensity (By Employee) | MWh/person | 6.04 |
Energy Consumption Intensity (By Revenue) | MWh/RMB100 million | 132.18 |
Fossil Fuel Consumption | MWh | 133937230.41 |
Gasoline Consumption | MWh | 8808.78 |
Grid Purchased Electricity Intensity (By Area) | % | 11.2 |
LPG Consumption | MWh | 239889.92 |
Natural Gas Consumption | MWh | 4073327.74 |
Percentage of Renewable Energy Consumption | % | 36.01 |
Purchased Electricity | MWh | 6904751.55 |
Purchased Steam | MWh | 383077.58 |
Renewable Energy Consumption | MWh | 5800541.02 |
Total Direct Energy Consumption | MWh | 148065654.47 |
Total Energy Consumption | MWh | 161144042.62 |
Total Indirect Energy Consumption | MWh | 13088370.15 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2023 |
---|---|---|
Total Wastewater Discharge | m³ | 517388957.96 |
Total Water Withdrawal | m³ | 60165521.88 |
Water Consumption | m³ | 60165521.88 |
Water Consumption Intensity (By Revenue) | m³/RMB100 million | 22488.07 |
Water Consumption in Office | m³ | 23227 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
Target Energy Consumption Reduction Percentage Compared to Last Year | percent |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2023 |
---|---|---|
Packaging Material Intensity (By Revenue) | tonnes/100 million RMB | 9.55 |
Packaging Materials Consumed | tonnes | 18462.46 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Bachelor's Degree Employees | person | 84081 |
Number of Below Junior College Employees | person | 66056 |
Number of Doctoral Degree Employees | person | 989 |
Number of Employees Aged 30-50 | person | 119796 |
Number of Employees Aged Above 50 | person | 22051 |
Number of Employees Aged Below 30 | person | 47015 |
Number of Employees in Hong Kong | person | 10071 |
Number of Employees in Hong Kong and Mainland China | person | 177844 |
Number of Employees in Mainland China | person | 167773 |
Number of Employees in Overseas | person | 11018 |
Number of Female Employees | person | 67437 |
Number of Male Employees | person | 121425 |
Number of Master's Degree Employees | person | 37736 |
Number of Total Employees | person | 188862 |
Percentage of Bachelor's Degree Employees | percent | 44.5 |
Percentage of Below Junior College Employees | percent | 35 |
Percentage of Doctoral Degree Employees | percent | 0.5 |
Percentage of Employees Aged 30-50 | percent | 63.5 |
Percentage of Employees Aged Above 50 | percent | 11.7 |
Percentage of Employees Aged Below 30 | percent | 24.9 |
Percentage of Employees in Hong Kong | percent | 5.3 |
Percentage of Employees in Hong Kong and Mainland China | percent | 94.2 |
Percentage of Employees in Mainland China | percent | 88.9 |
Percentage of Employees in Overseas | percent | 5.8 |
Percentage of Female Employees | percent | 35.7 |
Percentage of Male Employees | percent | 64.3 |
Percentage of Master's Degree Employees | percent | 20 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 1.02 |
Turnover Rate of Employees Aged Above 50 | % | 0.29 |
Turnover Rate of Employees Aged Below 30 | % | 4.47 |
Turnover Rate of Employees in Central China | % | 2.06 |
Turnover Rate of Employees in East China | % | 2.63 |
Turnover Rate of Employees in Mainland China | % | 11.64 |
Turnover Rate of Employees in Northeast China | % | 1.51 |
Turnover Rate of Employees in West China | % | 3.29 |
Turnover Rate of Female Employees | % | 2.4 |
Turnover Rate of Male Employees | % | 2.81 |
Turnover Rate of Total Employees | % | 2.58 |
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 | % | 100 |
Percentage of Trained General Employees | % | 100 |
Percentage of Trained Male Employees | % | 100 |
Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 |
---|---|---|
Average Training Hours (Female) | hours/person | 21.28 |
Average Training Hours (General Staff) | hours/person | 48.5 |
Average Training Hours (Male) | hours/person | 13.32 |
Average Training Hours (Senior Management) | hours/person | 99 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Anti-corruption Training Session | 14 |