ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Nitrogen Oxides (NOₓ) air emission of vehicles | kilogram (kg) | 107.81 | 55 |
| Particulate Matter (PM) air emission of vehicles | kilogram (kg) | 8.98 | 55 |
| Sulphur Oxides (SOₓ) air emission of vehicles | kilogram (kg) | 0.29 | 55 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Direct greenhouse gas emissions (Scope 1) | tonnes carbon dioxide equivalent (CO₂-e) | 242.85 | 55 |
| Greenhouse gas emissions in total (Scopes 1 and 2) | tonnes carbon dioxide equivalent (CO₂-e) | 13437 | 55 |
| Indirect greenhouse gas emissions (Scope 2) | tonnes carbon dioxide equivalent (CO₂-e) | 13194.15 | 55 |
| Intensity of greenhouse gas emissions (Scopes 1 and 2) per metre square | tonnes carbon dioxide equivalent (CO₂-e)/metre square (m²) | 0.0086 | 55 |
| Intensity of greenhouse gas emissions (Scopes 1 and 2) per person | tonnes carbon dioxide equivalent (CO₂-e)/person | 0.33 | 55 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Hazardous waste produced | tonnes | 2.55 | 55 |
| Hazardous waste produced intensity | tonnes/person | 0.0014 | 55 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Non-hazardous waste produced | tonnes | 13116.32 | 55 |
| Non-hazardous waste produced intensity | tonnes/person | 0.32 | 55 |
| Paper consumption | kilogram (kg) | 14583.75 | 55 |
| Paper consumption intensity | kilogram (kg)/person | 0.35 | 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 | 2020 | Report Pages |
|---|---|---|---|
| Diesel consumption for vehicles | litre (L) | 8804 | 56 |
| Electricity consumption | kilowatt hour (kWh) | 21626203.94 | 56 |
| Electricity consumption intensity (kilowatt hour (kWh)/metre square (m²)) | kilowatt hour (kWh)/metre square (m²) | 13.82 | 56 |
| Electricity consumption intensity (kilowatt hour (kWh)/person) | kilowatt hour (kWh)/person | 526.21 | 56 |
| Gasoline consumption for vehicles | litre (L) | 10157.3 | 56 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Reclaimed water consumption | tonnes | 45623 | 56 |
| Water consumption in total | tonnes | 916894 | 56 |
| Water consumption intensity (tonnes/metre square (m²)) | tonnes/metre square (m²) | 0.59 | 56 |
| Water consumption intensity (tonnes/person) | tonnes/person | 22.31 | 56 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Average salary for graduates of bachelor degree programmes of Chengdu University | RMB | 5228 | 20 | |
| Average salary for graduates of bachelor degree programmes of Dalian University | RMB | 5579 | 20 | |
| Average salary for graduates of bachelor degree programmes of Guangdong University | RMB | 5285 | 20 | |
| Average salary for graduates of junior college diploma programmes of Chengdu University | RMB | 4836 | 20 | |
| Average salary for graduates of junior college diploma programmes of Dalian University | RMB | 5045 | 20 | |
| Average salary for graduates of junior college diploma programmes of Guangdong University | RMB | 4045 | 20 | |
| Employment rate of 2020 graduates of Chengdu University | % | 94.6 | 20 | |
| Employment rate of 2020 graduates of Dalian University | % | 91.3 | 20 | |
| Employment rate of 2020 graduates of Guangdong University | % | 91.2 | 20 | |
| Ranking of Tianjin Ruidao among IT and internet technology vocational training providers in China in terms of revenues generated from offering IT training services | ranking | seventh | 5 | |
| Student enrolment of formal continuing education in universities | students | 6849 | 20 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Turnover rate of work force | % | 17.49 | 58 |
| Turnover rate of work force (Employees aged above 50 years old) | % | 10.08 | 58 |
| Turnover rate of work force (Employees aged below 30 years old) | % | 26.08 | 58 |
| Turnover rate of work force (Employees aged between 30-50 years old) | % | 13.44 | 58 |
| Turnover rate of work force (Employees in Central China) | % | 12.94 | 58 |
| Turnover rate of work force (Employees in Eastern China) | % | 27.64 | 58 |
| Turnover rate of work force (Employees in Northeast China) | % | 16.95 | 58 |
| Turnover rate of work force (Employees in Northern China) | % | 22.47 | 58 |
| Turnover rate of work force (Employees in Northwest China) | % | 33.33 | 58 |
| Turnover rate of work force (Employees in Southern China) | % | 17.4 | 58 |
| Turnover rate of work force (Female employees) | % | 15.15 | 58 |
| Turnover rate of work force (Male employees) | % | 19.77 | 58 |
Lost days due to work injury.
| Indicator | Unit | FY2020 | Report Pages |
|---|---|---|---|
| Lost days due to work injury | days | 63.5 | 59 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | FY2020 | Report Pages |
|---|---|---|---|---|
| Number of provincial-level third prizes and above won by students in academic competitions | prizes | 1900 | 20 | |
| Number of third prizes won by students in academic competitions | prizes | 25 | 20 | |
| Number of virtual companies incubated by Neusoft universities | 80 | 17 | ||
| Percentage of employees trained (female employees) | % | 57.17 | 59 | |
| Percentage of employees trained (full-time general employees) | % | 90.37 | 59 | |
| Percentage of employees trained (full-time middle management) | % | 8.94 | 59 | |
| Percentage of employees trained (full-time senior management) | % | 0.69 | 59 | |
| Percentage of employees trained (male employees) | % | 42.83 | 59 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | FY2020 | Report Pages |
|---|---|---|---|
| Average training hours completed per employee (female employees) | hour | 27.99 | 59 |
| Average training hours completed per employee (full-time general employees) | hour | 23.55 | 59 |
| Average training hours completed per employee (full-time middle management) | hour | 23.38 | 59 |
| Average training hours completed per employee (full-time senior management) | hour | 11.5 | 59 |
| Average training hours completed per employee (male employees) | hour | 18.79 | 59 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of innovation and entrepreneurship projects supported by Neusoft universities | 400 | 17 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of computer software copyrights obtained by students | copyrights | 200 | 20 |
| Number of patents obtained by students | patents | 30 | 20 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018/2019 | 2020 | Report Pages |
|---|---|---|---|---|
| Increase in student enrolment of formal continuing education compared with 31 December 2019 | % | 25.53 | 20 | |
| Number of first prizes won by students in academic competitions | prize | 1 | 20 | |
| Number of physical companies incubated by Neusoft universities | 40 | 17 | ||
| Number of second prizes won by students in academic competitions | prizes | 4 | 20 | |
| Number of students enrolled in IT majors among all private higher education institutions in China (school year 2018/2019) | ranking | second | 5 | |
| Number of students enrolled in IT majors among all private higher education institutions in China (school year 2018/2019, after excluding independent colleges) | ranking | first | 5 | |
| Ranking in China among providers of IT value-added education services (as measured by cumulative number of schools using services as of 31 March 2020) | ranking | second | 5 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kilogram (kg) | 8.98 |
| NOₓ Emissions | kilogram (kg) | 107.81 |
| SOₓ Emissions | kilogram (kg) | 0.29 |
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 | 2020 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes carbon dioxide equivalent (CO₂-e) | 242.85 |
| Indirect Energy Emissions (Scope 2) | tonnes carbon dioxide equivalent (CO₂-e) | 13194.15 |
| Total GHG Emissions | tonnes carbon dioxide equivalent (CO₂-e) | 13437 |
| Total GHG Emissions Intensity (By Area) | tonnes carbon dioxide equivalent (CO₂-e)/metre square (m²) | 0.0086 |
| Total GHG Emissions Intensity (By Employee) | tonnes carbon dioxide equivalent (CO₂-e)/person | 0.33 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Hazardous Waste | tonnes | 2.55 |
| Total Hazardous Waste Intensity (By Employee) | tonnes/person | 0.0014 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Non-Hazardous Waste Intensity (By Employee) | tonnes/person | 0.32 |
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 | 2020 |
|---|---|---|
| Diesel Fuel Consumption | litre (L) | 8804 |
| Gasoline Consumption | litre (L) | 10157.3 |
| Purchased Electricity | kilowatt hour (kWh) | 21626203.94 |
| Total Electricity Consumption Intensity (By Area) | kilowatt hour (kWh)/metre square (m²) | 13.82 |
| Total Electricity Consumption Intensity (By Employee) | kilowatt hour (kWh)/person | 526.21 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Recycled Water Usage | tonnes | 45623 |
| Water Consumption | tonnes | 916894 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 13.44 |
| Turnover Rate of Employees Aged Above 50 | % | 10.08 |
| Turnover Rate of Employees Aged Below 30 | % | 26.08 |
| Turnover Rate of Employees in Central China | % | 12.94 |
| Turnover Rate of Employees in East China | % | 27.64 |
| Turnover Rate of Employees in North China | % | 22.47 |
| Turnover Rate of Employees in Northeast China | % | 16.95 |
| Turnover Rate of Employees in Northwest China | % | 33.33 |
| Turnover Rate of Employees in South China | % | 17.4 |
| Turnover Rate of Female Employees | % | 15.15 |
| Turnover Rate of Male Employees | % | 19.77 |
| Turnover Rate of Total Employees | % | 17.49 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 63.5 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | FY2020 |
|---|---|---|
| Percentage of Employees Trained | % | 90.37 |
| Percentage of Trained Female Employees | % | 57.17 |
| Percentage of Trained General Employees | % | 90.37 |
| Percentage of Trained Male Employees | % | 42.83 |
| Percentage of Trained Middle Management | % | 8.94 |
| Percentage of Trained Senior Management | % | 0.69 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | FY2020 |
|---|---|---|
| Average Training Hours (Female) | hour | 27.99 |
| Average Training Hours (General Staff) | hour | 23.55 |
| Average Training Hours (Male) | hour | 18.79 |
| Average Training Hours (Middle Management) | hour | 23.38 |
| Average Training Hours (Senior Management) | hour | 11.5 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Patents Granted | patents | 30 |