CITIC Securities Sustainability Report 2024
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Direct emissions (Scope 1) | tons | 1466.73 | 1063.25 | 1264.64 | 112 |
| GHG emissions per square meter | tons per square meter | 0.18 | 0.15 | 0.15 | 112 |
| Greenhouse gases (GHG) emissions per square meter | tonnes per square meter | 0.15 | 10 | ||
| Indirect emissions (Scope 2) | tons | 31530.90 | 26207.69 | 26101.41 | 112 |
| Total GHG Emissions (Scope 1 and 2) | tons | 32997.63 | 27270.95 | 27366.05 | 112 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste | tons | 1.18 | 1.36 | 1.48 | 112 |
| Hazardous waste per capita | tons per capita | 0.0001 | 0.0002 | 0.0002 | 112 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste | tons | 37.17 | 51.29 | 42.91 | 112 |
| Non-hazardous waste per capita | tons per capita | 0.0042 | 0.0059 | 0.0049 | 112 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Carbon offset purchases (China Certified Emission Reduction, CCER) for daily operations | tonnes | 5000 | 51 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Energy consumption per square meter | MWh per square meter | 0.28 | 10 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Water consumption per square meter | tonnes per square meter | 0.84 | 10 |
| Year-on-year decrease in total water consumption of the Beijing Head Office building | % | 5 | 53 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Expected energy saving rate for cooling after central air conditioning system upgrade (Beijing Head Office) | percent | 20 | 51 |
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 | 2024 | Report Pages |
|---|---|---|---|
| Total underwriting amount of Green bonds (including carbon neutrality) | RMB billion | 51.7 | 10 |
| Total underwriting amount of overseas ESG bonds | USD billion | 1.399 | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Total number of employees | 26781 | 10 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Employee training coverage | % | 100 | 10 | ||
| Percentage of trained female employees | % | 100 | 100 | 100 | 116 |
| Percentage of trained male employees | % | 100 | 100 | 100 | 116 |
| Percentage of trained management personnel | % | 100 | 100 | 100 | 116 |
| Percentage of trained non-management personnel | % | 100 | 100 | 100 | 116 |
| Professional integrity training coverage | % | 100 | 10 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Average training hours | 123 | 10 | |||
| Average training hours completed by female employees | Hour | 125.78 | 119.96 | 123 | 116 |
| Average training hours completed by male employees | Hour | 125.79 | 119.83 | 123 | 116 |
| Average training hours completed by management personnel | Hour | 117.55 | 112.2 | 183 | 116 |
| Average training hours completed by non-management personnel | Hour | 126.03 | 120.1 | 121 | 116 |
Number of suppliers by geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Underwriting bonds scale of rural revitalization, the development of agriculture, rural areas and farmers, and the old revolutionary base area | RMB billion | 9.733 | 10 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Overall customer satisfaction rate | % | 99.4 | 10 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Anti-money laundering training coverage | % | 100 | 10 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Number of farmer households that benefited from the Insurance + Futures project | 41300 | 10 | |
| The social contribution per share | RMB | 5.37 | 10 |
| Total amount of donations throughout the year | RMB million | 34.5 | 10 |
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 | 2024 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 1466.73 | 1063.25 | 1264.64 |
| Indirect Energy Emissions (Scope 2) | tons | 31530.9 | 26207.69 | 26101.41 |
| Total GHG Emissions | tons | 32997.63 | 27270.95 | 27366.05 |
| Total GHG Emissions Intensity (By Area) | tons per square meter | 0.18 | 0.15 | 0.15 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Hazardous Waste | tons | 1.18 | 1.36 | 1.48 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tons | 37.17 | 51.29 | 42.91 |
| Total Non-Hazardous Waste Intensity (By Employee) | tons per capita | 0.0042 | 0.0059 | 0.0049 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| GHG Emissions Reduction Compared to Last Year | tonnes | 5000 |
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 | 2024 |
|---|---|---|
| Energy Consumption Intensity (By Area) | MWh per square meter | 0.28 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Water Consumption Intensity (By Revenue) | tonnes per square meter | 0.84 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Target Energy Consumption Reduction Percentage Compared to Last Year | percent | 20 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Investment in Climate Change Management | RMB billion | 51.7 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Total Employees | 26781 |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | Day |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Percentage of Employees Trained | % | 100 | ||
| Percentage of Trained Female Employees | % | 100 | 100 | 100 |
| Percentage of Trained General Employees | % | 100 | 100 | 100 |
| Percentage of Trained Male Employees | % | 100 | 100 | 100 |
| Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Average Training Hours (Female) | Hour | 125.78 | 119.96 | 123 |
| Average Training Hours (General Staff) | Hour | 126.03 | 120.1 | 121 |
| Average Training Hours (Male) | Hour | 125.79 | 119.83 | 123 |
| Average Training Hours (Senior Management) | Hour | 117.55 | 112.2 | 183 |
| Average Training Hours per Employee | Hour | 123 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Coverage of Anti-corruption Training for Employees | % | 100 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Public Welfare Donations | RMB million | 34.5 |