2024 Environmental, Social and Governance Report
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 (tons) | tons | 28.03 | 35.59 | 19.11 | 55 |
| Electricity indirect emissions (tons) | tons | 772.95 | 1077.65 | 573.84 | 55 |
| Greenhouse gas emissions per capita (tons/person) | tons/person | 3.7 | 2.99 | 1.99 | 55 |
| Greenhouse gas emissions per unit of office area (tons/m²) | tons/m² | 0.098 | 0.07 | 0.03 | 55 |
| Heat indirect emissions (tons) | tons | 571.42 | 22.45 | 22.45 | 55 |
| Indirect emissions (tons) | tons | 1344.37 | 1100.11 | 596.3 | 55 |
| Total greenhouse gas emissions (tons) | tons | 1372.41 | 1135.69 | 615.41 | 55 |
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 |
|---|---|---|---|---|---|
| Total hazardous waste disposal (tons) | tons | 0.6 | 0.39 | 1.3 | 55 |
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 disposal per capita (tons/person) | tons/person | 0.19 | 0.19 | 0.19 | 55 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste disposal per capita (tons) | tons | 0.002 | 0.001 | 0.004 | 55 |
| Total non-hazardous waste disposal (tons) | tons | 69.47 | 72.62 | 66.89 | 55 |
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 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Direct energy consumption | MWh | 105.18 | 133.51 | 71.7 | 56 |
| Electricity (indirect energy consumption) | MWh | 1355.33 | 1889.62 | 1069.4 | 56 |
| Energy consumption per capita | MWh/person | 4.02 | 5.32 | 3.69 | 56 |
| Energy consumption per unit of office area | MWh/m² | 0.1 | 0.13 | 0.06 | 56 |
| Fuel of company vehicles | MWh | 105.18 | 133.51 | 71.7 | 56 |
| Fuel of company vehicles (tons) | tons | 28.03 | 35.59 | 19.11 | 55 |
| Indirect energy consumption | MWh | 1355.33 | 1889.62 | 1069.4 | 56 |
| Total energy consumption | MWh | 1460.51 | 2023.14 | 1141.1 | 56 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption | tons | 8115 | 6135 | 3248 | 56 |
| Water consumption per capita | ton/person | 22.32 | 16.15 | 10.51 | 56 |
| Water consumption per unit of office area | ton/m² | 0.58 | 0.38 | 0.16 | 56 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| Scale of green bond investment | RMB100 million | 15.81 | 47 | ||
| Scale of green trust business | RMB100 million | 36.59 | 47 | ||
| Scale of new green trust business | RMB100 million | 14.33 | 17.71 | 25.75 | 47 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Employees aged 25 and below | employees | 29 | 39 |
| Employees aged 26-29 | employees | 160 | 39 |
| Employees aged 30-39 | employees | 94 | 39 |
| Employees aged 40 and above | employees | 5 | 39 |
| Employees in Jinan | employees | 6 | 39 |
| Employees in Qingdao | employees | 3 | 39 |
| Employees in Shanghai | employees | 6 | 39 |
| Employees in Shenzhen | employees | 6 | 39 |
| Employees in Wuhan | employees | 5 | 39 |
| Employees in Xi'an | employees | 17 | 39 |
| Employees in Zhengzhou | employees | 245 | 39 |
| Employees with bachelor degree | employees | 226 | 39 |
| Employees with doctorate degree | employees | 6 | 39 |
| Employees with master degree | employees | 50 | 39 |
| Employees with vocational education | employees | 6 | 39 |
| Female employees | employees | 160 | 39 |
| Full-time employees | employees | 288 | 39 |
| Male employees | employees | 128 | 39 |
| Number of employees (Female) | 128 | 42 | |
| Number of employees (General staff) | 236 | 42 | |
| Number of employees (Male) | 160 | 42 | |
| Number of employees (Management of the Company) | 10 | 42 | |
| Number of employees (Middle management) | 42 | 42 | |
| Total number of employees | employees | 288 | 39 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Employee turnover by age: Aged 25-29 | persons | 25 | 40 |
| Employee turnover by age: Aged 30-39 | persons | 9 | 40 |
| Employee turnover by age: Aged 40 and above | persons | 1 | 40 |
| Employee turnover by age: Aged below 25 | persons | 7 | 40 |
| Employee turnover by gender: Female | persons | 25 | 40 |
| Employee turnover by gender: Male | persons | 17 | 40 |
| Employee turnover by region: Dalian | persons | 24 | 40 |
| Employee turnover by region: Ji'nan | persons | 6 | 40 |
| Employee turnover by region: Qingdao | persons | 1 | 40 |
| Employee turnover by region: Shanghai | persons | 4 | 40 |
| Employee turnover by region: Shenzhen | persons | 6 | 40 |
| Employee turnover by region: Xi'an | persons | 1 | 40 |
| Employee turnover rate | % | 13.59 | 39 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Percentage of employees who received training (Female) | 100% | 42 | |
| Percentage of employees who received training (General staff) | 100% | 42 | |
| Percentage of employees who received training (Male) | 100% | 42 | |
| Percentage of employees who received training (Management of the Company) | 100% | 42 | |
| Percentage of employees who received training (Middle management) | 100% | 42 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Average training duration (Female) | hours | 20.64 | 42 |
| Average training duration (General staff) | hours | 20 | 42 |
| Average training duration (Male) | hours | 20.64 | 42 |
| Average training duration (Management of the Company) | hours | 24 | 42 |
| Average training duration (Middle management) | hours | 22 | 42 |
| Number of employees who received training (Female) | 128 | 42 | |
| Number of employees who received training (General staff) | 236 | 42 | |
| Number of employees who received training (Male) | 160 | 42 | |
| Number of employees who received training (Management of the Company) | 10 | 42 | |
| Number of employees who received training (Middle management) | 42 | 42 |
Number of suppliers by geographical region.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Existing scale of green trust business | RMB100 million | 36.59 | 47 |
| Scale of additional business in the fourth quarter targeting small and micro enterprises | billion RMB | 1.937 | 25 |
| Scale of the existing trust business targeting small and micro enterprises | billion RMB | 38.48 | 25 |
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 | 2020-2024 | Report Pages |
|---|---|---|---|
| Total tax contributions over the last five years | billion RMB | 3.356 | 25 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|---|---|
| Delivery scale of newly established charitable trusts by SITC | RMB10000 | 134.33 | 15.05 | 1800 | 1905.16 | 2500.02 | 50 |
| Number of new charitable trusts of SITC | 2 | 2 | 4 | 20 | 21 | 50 | |
| Number of new trust projects targeting small and micro enterprises established in the fourth quarter | 33 | 25 | |||||
| Scale of new charitable trusts | million RMB | 30 | 50 | ||||
| Tax contribution | hundred million RMB | 10.97 | 7.26 | 4.72 | 6.38 | 4.23 | 25 |
| Tax contributions in 2024 | million RMB | 423 | 25 | ||||
| Total number of charitable trusts established and filed by SITC | 56 | 50 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2024 | Report Pages |
|---|---|---|---|
| Cumulative delivered funds of charitable trusts | million RMB | 170 | 50 |
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 | 28.03 | 35.59 | 19.11 |
| GHG Emissions from Purchased Electricity | tons | 772.95 | 1077.65 | 573.84 |
| Indirect Energy Emissions (Scope 2) | tons | 1344.37 | 1100.11 | 596.3 |
| Total GHG Emissions | tons | 1372.41 | 1135.69 | 615.41 |
| Total GHG Emissions Intensity (By Area) | tons/m² | 0.098 | 0.07 | 0.03 |
| Total GHG Emissions Intensity (By Employee) | tons/person | 3.7 | 2.99 | 1.99 |
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 |
|---|---|---|---|---|
| Hazardous Waste Disposed | tons | 0.6 | 0.39 | 1.3 |
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 |
|---|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Employee) | tons/person | 0.19 | 0.19 | 0.19 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| CO2 Emissions Reduction Percentage Compared to Last Year | % per year |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2023 | 2024 |
|---|---|---|---|
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | -50 | 300 |
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | -4.54 | -7.89 |
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 | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | MWh/m² | 0.1 | 0.13 | 0.06 |
| Energy Consumption Intensity (By Employee) | MWh/person | 4.02 | 5.32 | 3.69 |
| Total Direct Energy Consumption | MWh | 105.18 | 133.51 | 71.7 |
| Total Energy Consumption | MWh | 1460.51 | 2023.14 | 1141.1 |
| Total Indirect Energy Consumption | MWh | 1355.33 | 1889.62 | 1069.4 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Water Consumption | tons | 8115 | 6135 | 3248 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2022 | 2023 | 2024 |
|---|---|---|---|---|
| Total Investment in Ecological Restoration | RMB100 million | 14.33 | 17.71 | 25.75 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Number of Bachelor's Degree Employees | employees | 226 |
| Number of Doctoral Degree Employees | employees | 6 |
| Number of Employees Aged 30-50 | employees | 94 |
| Number of Employees Aged Below 30 | employees | 189 |
| Number of Female Employees | employees | 160 |
| Number of Full-time Employees | employees | 288 |
| Number of General Employees | employees | 236 |
| Number of Male Employees | employees | 128 |
| Number of Master's Degree Employees | employees | 50 |
| Number of Middle Management Employees | employees | 42 |
| Number of Total Employees | employees | 288 |
| Percentage of Bachelor's Degree Employees | % | 78.47 |
| Percentage of Doctoral Degree Employees | % | 2.08 |
| Percentage of Employees Aged 30-50 | % | 32.64 |
| Percentage of Employees Aged Below 30 | % | 65.62 |
| Percentage of Female Employees | % | 55.56 |
| Percentage of Full-time Employees | % | 100 |
| Percentage of General Employees | % | 81.94 |
| Percentage of Male Employees | % | 44.44 |
| Percentage of Master's Degree Employees | % | 17.36 |
| Percentage of Middle Management Employees | % | 14.58 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Turnover Rate of Total Employees | % | 13.59 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Percentage of Trained Female Employees | % | 100 |
| Percentage of Trained General Employees | % | 100 |
| Percentage of Trained Male Employees | % | 100 |
| Percentage of Trained Middle Management | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Average Training Hours (Female) | hours | 20.64 |
| Average Training Hours (General Staff) | hours | 20 |
| Average Training Hours (Male) | hours | 20.64 |
| Average Training Hours (Middle Management) | hours | 22 |
| Average Training Hours (Senior Management) | hours | 24 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2024 |
|---|---|---|
| Total Social Investment | million RMB | 170 |