2023 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 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Direct emissions (tons) | tons | 21.83 | 28.03 | 35.59 | 62 |
| Electricity (indirect emissions) | tons | 822.71 | 772.95 | 1077.65 | 62 |
| Fuel of company vehicles (direct emissions) | tons | 21.83 | 28.03 | 35.59 | 62 |
| Greenhouse gas emissions per capita (tons/person) | tons/person | 2.41 | 3.7 | 2.99 | 62 |
| Greenhouse gas emissions per unit of office area (tons/m²) | tons/m² | 0.058 | 0.098 | 0.07 | 62 |
| Heat (indirect emissions) | tons | 571.42 | 22.45 | 62 | |
| Indirect emissions (tons) | tons | 822.71 | 1344.37 | 1100.11 | 62 |
| Total greenhouse gas emissions (tons) | tons | 844.54 | 1372.41 | 1135.69 | 62 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Total hazardous waste disposal (tons) | tons | 0.48 | 0.6 | 0.39 | 62 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Non-hazardous waste disposal per capita (tons/person) | tons/person | 0.18 | 0.19 | 0.19 | 62 |
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 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste disposal per capita (tons) | tons | 0.0014 | 0.002 | 0.001 | 62 |
| Total non-hazardous waste disposal (tons) | tons | 61.25 | 69.47 | 72.62 | 62 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Direct energy consumption (MWh) | MWh | 81.94 | 105.18 | 133.51 | 63 |
| Electricity (MWh) | MWh | 1416.02 | 1355.33 | 1889.62 | 63 |
| Energy consumption per capita (MWh/person) | MWh/person | 4.28 | 4.02 | 5.32 | 63 |
| Energy consumption per unit of office area (MWh/m²) | MWh/m² | 0.1 | 0.1 | 0.13 | 63 |
| Fuel of company vehicles (MWh) | MWh | 81.94 | 105.18 | 133.51 | 63 |
| Indirect energy consumption (MWh) | MWh | 1416.02 | 1355.33 | 1889.62 | 63 |
| Total energy consumption (MWh) | MWh | 1497.96 | 1460.51 | 2023.14 | 63 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|
| Total water consumption (tons) | tons | 12341 | 8115 | 6135 | 63 |
| Water consumption per capita (ton/person) | ton/person | 35.26 | 22.32 | 16.15 | 63 |
| Water consumption per unit of office area (ton/m²) | ton/m² | 0.85 | 0.58 | 0.38 | 63 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Male to female ratio | 1.37 : 1 | 1.29 : 1 | 64 | |
| Number of company leaders | 12 | 47 | ||
| Number of employees | 377 | 330 | 64 | |
| Number of employees aged 25 or below | 9 | 45 | ||
| Number of employees aged 26-29 | 45 | 45 | ||
| Number of employees aged 30-39 | 189 | 45 | ||
| Number of employees aged 40 or above | 87 | 45 | ||
| Number of employees in Dalian | 6 | 45 | ||
| Number of employees in Jinan | 265 | 45 | ||
| Number of employees in Others (regions) | 65 | 45 | ||
| Number of employees in Qingdao | 6 | 45 | ||
| Number of employees in Shanghai | 26 | 45 | ||
| Number of employees in Shenzhen | 10 | 45 | ||
| Number of employees in Wuhan | 7 | 45 | ||
| Number of employees in Xi'an | 7 | 45 | ||
| Number of employees in Zhengzhou | 3 | 45 | ||
| Number of employees with Bachelor degree | 76 | 45 | ||
| Number of employees with Master degree | 243 | 45 | ||
| Number of employees with PhD | 6 | 45 | ||
| Number of employees with Vocation degree | 5 | 45 | ||
| Number of female employees | 144 | 45, 47 | ||
| Number of full-time employees | 330 | 45 | ||
| Number of general staff | 272 | 47 | ||
| Number of male employees | 186 | 45, 47 | ||
| Number of middle management | 46 | 47 | ||
| Operating revenue (RMB100 million) | RMB100 million | 15.09 | 11.9 | 64 |
| Percentage of employees aged 25 or below | % | 2.73 | 45 | |
| Percentage of employees aged 26-29 | % | 13.64 | 45 | |
| Percentage of employees aged 30-39 | % | 57.27 | 45 | |
| Percentage of employees aged 40 or above | % | 26.36 | 45 | |
| Percentage of employees in Dalian | % | 1.82 | 45 | |
| Percentage of employees in Jinan | % | 80.3 | 45 | |
| Percentage of employees in Others (regions) | % | 19.7 | 45 | |
| Percentage of employees in Qingdao | % | 1.82 | 45 | |
| Percentage of employees in Shanghai | % | 7.88 | 45 | |
| Percentage of employees in Shenzhen | % | 3.03 | 45 | |
| Percentage of employees in Wuhan | % | 2.12 | 45 | |
| Percentage of employees in Xi'an | % | 2.12 | 45 | |
| Percentage of employees in Zhengzhou | % | 0.91 | 45 | |
| Percentage of employees with Bachelor degree | % | 23.03 | 45 | |
| Percentage of employees with Master degree | % | 73.64 | 45 | |
| Percentage of employees with PhD | % | 1.82 | 45 | |
| Percentage of employees with Vocation degree | % | 1.51 | 45 | |
| Percentage of female employees | % | 43.64 | 45 | |
| Percentage of full-time employees | % | 100 | 45 | |
| Percentage of male employees | % | 56.36 | 45 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| 2023 Employee turnover rate Beijing | % | 20 | 45 |
| 2023 Employee turnover rate Dongguan | % | 2.5 | 45 |
| 2023 Employee turnover rate Jinan | % | 37.5 | 45 |
| 2023 Employee turnover rate Qingdao | % | 7.5 | 45 |
| 2023 Employee turnover rate Shanghai | % | 5 | 45 |
| 2023 Employee turnover rate Shenzhen | % | 7.5 | 45 |
| 2023 Employee turnover rate Xi'an | % | 15 | 45 |
| 2023 Employee turnover rate Xiamen | % | 5 | 45 |
| 2023 Employee turnover rate aged 25-29 | % | 7.5 | 45 |
| 2023 Employee turnover rate aged 30-39 | % | 62.5 | 45 |
| 2023 Employee turnover rate aged 40 or above | % | 27.5 | 45 |
| 2023 Employee turnover rate aged below 25 | % | 2.5 | 45 |
| 2023 Employee turnover rate female | % | 37.5 | 45 |
| 2023 Employee turnover rate male | % | 62.5 | 45 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Number of company leaders who received training | 12 | 47 | |
| Number of female employees who received training | 144 | 47 | |
| Number of male employees who received training | 186 | 47 | |
| Number of middle management who received training | 46 | 47 | |
| Percentage of company leaders who received training | 100% | 47 | |
| Percentage of female employees who received training | 100% | 47 | |
| Percentage of general staff who received training | 100% | 47 | |
| Percentage of middle management who received training | 100% | 47 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023 | Report Pages |
|---|---|---|---|
| Average training duration for company leaders | hours | 14 | 47 |
| Average training duration for female employees | hours | 25.18 | 47 |
| Average training duration for general staff | hours | 25.87 | 47 |
| Average training duration for male employees | hours | 25.18 | 47 |
| Average training duration for middle management | hours | 24 | 47 |
| Number of general staff who received training | 272 | 47 | |
| Percentage of male employees who received training | 100% | 47 |
Number of suppliers by geographical region.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Number of shortlisted projects throughout the year | 12 | 34 | ||
| Size of actively managed trust assets (RMB100 million) | RMB100 million | 1106.85 | 1285.7 | 64 |
| Size of trust assets (RMB100 million) | RMB100 million | 2154.01 | 2014.21 | 64 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|
| Number of subjects awarded | 7 | 6 | 9 | 9 | 12 | 34 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | 2021 | 2022 | 2023 | Report Pages |
|---|---|---|---|---|---|---|
| Individuals directly benefited from charitable trust | 871 | 56 | ||||
| Number of articles published in 2023 | articles | 184 | 34 | |||
| Number of new charitable trusts | 2 | 2 | 3 | 20 | 56 | |
| Scale of new charitable trusts | RMB'000 | 134 | 215 | 1826 | 5000 | 56 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| Charitable trust spending | million RMB | 7.6 | 56 | |
| Cumulative disbursement of charitable trusts | million RMB | 140 | 56 | |
| Total charitable trusts established and filed | 34 | 56 | ||
| Total equity (RMB100 million) | RMB100 million | 109.34 | 110.89 | 64 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 21.83 | 28.03 | 35.59 |
| GHG Emissions from Purchased Electricity | tons | 822.71 | 772.95 | 1077.65 |
| Indirect Energy Emissions (Scope 2) | tons | 822.71 | 1344.37 | 1100.11 |
| Mobile Combustion Emissions | tons | 21.83 | 28.03 | 35.59 |
| Total GHG Emissions | tons | 844.54 | 1372.41 | 1135.69 |
| Total GHG Emissions Intensity (By Area) | tons/m² | 0.058 | 0.098 | 0.07 |
| Total GHG Emissions Intensity (By Employee) | tons/person | 2.41 | 3.7 | 2.99 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Hazardous Waste Disposed | tons | 0.48 | 0.6 | 0.39 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Non-Hazardous Waste Disposed | tons/person | 0.18 | 0.19 | 0.19 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Target GHG Emissions Reduction Percentage Compared to Last Year | percent 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 | 2022 | 2023 |
|---|---|---|---|
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 42.86 | 50 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | MWh/m² | 0.1 | 0.1 | 0.13 |
| Energy Consumption Intensity (By Employee) | MWh/person | 4.28 | 4.02 | 5.32 |
| Purchased Electricity | MWh | 1416.02 | 1355.33 | 1889.62 |
| Total Direct Energy Consumption | MWh | 81.94 | 105.18 | 133.51 |
| Total Energy Consumption | MWh | 1497.96 | 1460.51 | 2023.14 |
| Total Indirect Energy Consumption | MWh | 1416.02 | 1355.33 | 1889.62 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 | 2023 |
|---|---|---|---|---|
| Water Consumption | tons | 12341 | 8115 | 6135 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2022 | 2023 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | 76 | ||
| Number of Below Junior College Employees | 5 | ||
| Number of Doctoral Degree Employees | 6 | ||
| Number of Employees Aged 30-50 | 189 | ||
| Number of Employees Aged Below 30 | 54 | ||
| Number of Female Employees | 144 | ||
| Number of Full-time Employees | 330 | ||
| Number of General Employees | 272 | ||
| Number of Male Employees | 186 | ||
| Number of Master's Degree Employees | 243 | ||
| Number of Middle Management Employees | 46 | ||
| Number of Total Employees | 377 | 330 | |
| Percentage of Bachelor's Degree Employees | % | 23.03 | |
| Percentage of Below Junior College Employees | % | 1.51 | |
| Percentage of Doctoral Degree Employees | % | 1.82 | |
| Percentage of Employees Aged Below 30 | % | 16.37 | |
| Percentage of Female Employees | % | 43.64 | |
| Percentage of Full-time Employees | % | 100 | |
| Percentage of Male Employees | % | 56.36 | |
| Percentage of Master's Degree Employees | % | 73.64 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 62.5 |
| Turnover Rate of Employees Aged Below 30 | % | 10 |
| Turnover Rate of Employees in Mainland China | % | 100 |
| Turnover Rate of Female Employees | % | 37.5 |
| Turnover Rate of Male Employees | % | 62.5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Percentage of Trained Female Employees | % | 100 |
| Percentage of Trained General Employees | % | 100 |
| Percentage of Trained Middle Management | % | 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 | 25.18 |
| Average Training Hours (General Staff) | hours | 25.87 |
| Average Training Hours (Male) | hours | 25.18 |
| Average Training Hours (Middle Management) | hours | 24 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2023 |
|---|---|---|
| Total Social Investment | million RMB | 7.6 |