2024 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2023/24 | Report Pages |
|---|---|---|---|
| Nitrogen oxides (NOx) | kg | 12.77 | 39 |
| Particulate matter (PM) | kg | 0.94 | 39 |
| Sulphur oxides (SOx) | kg | 0.94 | 39 |
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 | 2023/24 | Report Pages |
|---|---|---|---|
| Direct emissions (Scope 1) | tCO2e | 834.88 | 39 |
| Energy indirect emissions (Scope 2) | tCO2e | 3744.49 | 39 |
| GHG emissions intensity | tCO2e/m² | 0.01 | 39 |
| Total GHG emissions | tCO2e | 4579.37 | 39 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023/24 | Report Pages |
|---|---|---|---|
| Non-hazardous waste | Tonne | 2963.31 | 39 |
| Non-hazardous waste intensity | Tonne/m² | 0.01 | 39 |
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 | 2023/24 | Report Pages |
|---|---|---|---|
| Energy intensity | MWh/m² | 0.05 | 39 |
| Energy use - Diesel | MWh | 27.83 | 39 |
| Energy use - Gasoline | MWh | 121.12 | 39 |
| Energy use - Natural gas | MWh | 284.48 | 39 |
| Energy use - Purchased electricity | MWh | 6968.48 | 39 |
| Total energy consumption | MWh | 15840.74 | 39 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2023/24 | Report Pages |
|---|---|---|---|
| Water use | m³ | 260630 | 39 |
| Water use intensity | m³/m² | 0.77 | 39 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2022 | 2023 | Report Pages |
|---|---|---|---|---|
| First Prize in The 10th National University Student New Generation Information and Communication Technology Competition – Provincial Division | First Prize | 7 | ||
| First Prize in The 13th Market Research and Analysis Competition | First Prize | 7 | ||
| First Prize in The 14th National College Student Mathematics Competition | First Prize | 7 | ||
| First Prize in the 2nd Transportation Tech Competition for University Students | First Prize | 7 | ||
| First Prize in the National Big Data Analytics Skills Competition | First Prize | 7 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2023/24 | 2024 | Report Pages |
|---|---|---|---|---|
| Total workforce | Number | 1052 | 40 | |
| Total workforce by age - Age 30–50 | Number | 633 | 40 | |
| Total workforce by age - Over age 50 | Number | 173 | 40 | |
| Total workforce by age - Under 30 | Number | 246 | 40 | |
| Total workforce by age group - 30–50 | employees | 246 | 14 | |
| Total workforce by age group - <30 | employees | 633 | 14 | |
| Total workforce by age group - >50 | employees | 173 | 14 | |
| Total workforce by employee category - Accounting and finance staff | Number | 8 | 40 | |
| Total workforce by employee category - Accounting and staff | employees | 58 | 14 | |
| Total workforce by employee category - Administrative staff | Number, employees | 226 | 226 | 14, 40 |
| Total workforce by employee category - Logistics personnel | Number, employees | 58 | 8 | 14, 40 |
| Total workforce by employee category - Management | Number, employees | 11 | 11 | 14, 40 |
| Total workforce by employee category - Student accommodation staff | Number, employees | 26 | 26 | 14, 40 |
| Total workforce by employee category - Teachers | Number, employees | 723 | 723 | 14, 40 |
| Total workforce by employment category - Full-time | Number | 755 | 40 | |
| Total workforce by employment category - Part-time | Number | 297 | 40 | |
| Total workforce by employment type - Full-time | employees | 755 | 14 | |
| Total workforce by employment type - Part-time | employees | 297 | 14 | |
| Total workforce by gender - Female | Number, employees | 660 | 660 | 14, 40 |
| Total workforce by gender - Male | Number, employees | 392 | 392 | 14, 40 |
| Total workforce by geographical region - Hong Kong | Number | 1 | 40 | |
| Total workforce by geographical region - Mainland China | Number | 1051 | 40 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2023/24 | Report Pages |
|---|---|---|---|
| Employee turnover age 30–50 | % | 18.2 | 41 |
| Employee turnover by gender - Female | % | 15.2 | 40 |
| Employee turnover by gender - Male | % | 16.8 | 40 |
| Employee turnover in China | % | 15.8 | 41 |
| Employee turnover over age 50 | % | 21.4 | 41 |
| Employee turnover under age 30 | % | 5.7 | 41 |
| Total employee turnover | Number | 166 | 40 |
| Turnover rate | % | 15.8 | 40 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2023 | 2023/24 | Report Pages |
|---|---|---|---|---|
| Gold Medal in The 9th China International ‘Internet+’ University Student Innovation and Entrepreneurship Competition – Heilongjiang Province | Gold Medal | 6 | ||
| Percentage of accounting and finance staff trained | % | 75 | 41 | |
| Percentage of administrative staff trained | % | 50 | 41 | |
| Percentage of employees trained | % | 51.9 | 41 | |
| Percentage of employees trained (female) | % | 55.6 | 41 | |
| Percentage of employees trained (male) | % | 45.7 | 41 | |
| Percentage of logistics personnel trained | % | 10.3 | 41 | |
| Percentage of management trained | % | 9.1 | 41 | |
| Percentage of teachers trained | % | 58.1 | 41 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2023/24 | Report Pages |
|---|---|---|---|
| Average hours of employee training | Hour | 29.7 | 41 |
| Average training hours per employee (Accounting and finance staff) | Hour | 12.5 | 42 |
| Average training hours per employee (Administrative staff) | Hour | 16.4 | 42 |
| Average training hours per employee (Logistics personnel) | Hour | 2.48 | 42 |
| Average training hours per employee (Management) | Hour | 2.18 | 42 |
| Average training hours per employee (Teachers) | Hour | 37.8 | 42 |
| Average training hours per employee (female) | Hour | 33.3 | 41 |
| Average training hours per employee (male) | Hour | 23.7 | 41 |
| Total hours of employee training | Hour | 31280 | 41 |
Number of suppliers by geographical region.
| Indicator | Unit | 2023/24 | Report Pages |
|---|---|---|---|
| Number of main suppliers by geographical region (Mainland China) | Number | 7 | 42 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | 2023 | 2024 | Report Pages |
|---|---|---|---|---|---|
| 2022 Heilongjiang Province ‘Youth University Study’ Online Themed Lessons | Awarded | 6 | |||
| 20th Provincial Civilized Campus | Awarded | 7 | |||
| First Prize in 16th ICAN Innovation Competition for University Students – Provincial Division | First Prize | 7 | |||
| First Prize in 2022 Heilongjiang Province 1st Tian Jia Bing Cup Showcase of Art Education | First Prize | 6 | |||
| National General University Innovation and Entrepreneurship Competition Index – Top Ranking | Top Ranking | 6 | |||
| National University Student ‘Back to Hometown’, ‘Activity on Three Rural Areas’, Social Practice and Safety Education Livestream Talk | Awarded | 7 | |||
| Outstanding Maker Space in Chinese Universities | Outstanding | 6 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2023/24 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 0.94 |
| NOₓ Emissions | kg | 12.77 |
| SOₓ Emissions | kg | 0.94 |
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 | 2023/24 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 834.88 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 3744.49 |
| Total GHG Emissions | tCO2e | 4579.37 |
| Total GHG Emissions Intensity (By Area) | tCO2e/m² | 0.01 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023/24 |
|---|---|---|
| Total Non-Hazardous Waste Intensity (By Area) | Tonne/m² | 0.01 |
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 | 2023/24 |
|---|---|---|
| Diesel Fuel Consumption | MWh | 27.83 |
| Energy Consumption Intensity (By Area) | MWh/m² | 0.05 |
| Gasoline Consumption | MWh | 121.12 |
| Natural Gas Consumption | MWh | 284.48 |
| Purchased Electricity | MWh | 6968.48 |
| Total Energy Consumption | MWh | 15840.74 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2023/24 |
|---|---|---|
| Total Water Withdrawal | m³ | 260630 |
| Water Withdrawal Intensity | m³/m² | 0.77 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2023/24 | 2024 |
|---|---|---|---|
| Number of Employees Aged 30-50 | employees | 633 | 246 |
| Number of Employees Aged Above 50 | Number | 173 | 173 |
| Number of Employees Aged Below 30 | Number | 246 | 633 |
| Number of Employees in Hong Kong | Number | 1 | |
| Number of Employees in Hong Kong and Mainland China | Number | 1052 | |
| Number of Employees in Mainland China | Number | 1051 | |
| Number of Female Employees | Number | 660 | 660 |
| Number of Full-time Employees | Number | 755 | 755 |
| Number of Male Employees | Number | 392 | 392 |
| Number of Part-time Employees | employees | 297 | 297 |
| Number of Total Employees | Number | 1052 | |
| Percentage of Employees Aged 30-50 | Percent | 60.17 | |
| Percentage of Employees Aged Above 50 | Percent | 16.44 | |
| Percentage of Employees Aged Below 30 | Percent | 23.39 | |
| Percentage of Employees in Hong Kong | Percent | 0.1 | |
| Percentage of Employees in Hong Kong and Mainland China | Percent | 100 | |
| Percentage of Employees in Mainland China | Percent | 99.9 | |
| Percentage of Female Employees | Percent | 62.73 | |
| Percentage of Full-time Employees | Percent | 71.82 | |
| Percentage of Male Employees | Percent | 37.27 | |
| Percentage of Part-time Employees | Percent | 28.18 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2023/24 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 18.2 |
| Turnover Rate of Employees Aged Above 50 | % | 21.4 |
| Turnover Rate of Employees Aged Below 30 | % | 5.7 |
| Turnover Rate of Employees in Mainland China | % | 15.8 |
| Turnover Rate of Female Employees | % | 15.2 |
| Turnover Rate of Male Employees | % | 16.8 |
| Turnover Rate of Total Employees | % | 15.8 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2023/24 |
|---|---|---|
| Percentage of Employees Trained | % | 51.9 |
| Percentage of Trained Administrative Employees | % | 50 |
| Percentage of Trained Female Employees | % | 55.6 |
| Percentage of Trained Male Employees | % | 45.7 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2023/24 |
|---|---|---|
| Average Training Hours (Administrative Employees) | Hour | 16.4 |
| Average Training Hours (Female) | Hour | 33.3 |
| Average Training Hours (Male) | Hour | 23.7 |
| Average Training Hours per Employee | Hour | 29.7 |
| Total Training Hours | Hour | 31280 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2023/24 |
|---|---|---|
| Number of Suppliers in Mainland China | Number | 7 |