2020 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
NOx emissions | Kg | 74.8 | 95.5 | 32 |
PM emissions | Kg | 12.1 | 9.2 | 32 |
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 | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Electricity consumption emissions (Scope 2) | CO2 equivalent (t) | 3156.8 | 456.7 | 32 |
SO2 emissions | Kg | 2.3 | 2.4 | 32 |
Total GHG emissions | CO2 equivalent (t) | 3457.5 | 500.5 | 32 |
Total GHG emissions intensity | CO2 equivalent t/person | 1.2 | 0.2 | 32 |
Vehicle emissions (Scope 1) | CO2 equivalent (t) | 300.7 | 43.8 | 32 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Toner and ink cartridge intensity | Number/person | 0.23 | 0.05 | 32 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Office and household waste | Kg | 22181.4 | 23120.3 | 32 |
Office and household waste intensity | Kg/person | 7.8 | 9.6 | 32 |
Office waste recycled | Kg | 3626.9 | 3174.5 | 32 |
Toner density | Number/person | 0.1 | 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).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Electricity consumption | kWh | 5721411.3 | 506650 | 32 |
Electricity consumption per person | kWh/person | 2018.1 | 206.5 | 32 |
Gasoline consumption | L | 144386.1 | 16187 | 32 |
Gasoline consumption per person | L/person | 51.1 | 6.6 | 32 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Water consumption | Ton | 35630.7 | 3958.8 | 32 |
Water consumption per person | Tons/person | 12.6 | 1.6 | 32 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Environmental protection input | RMB 10000 | 4.6 | 12.8 | 10 | 33 |
Number of employees participating in environmental protection activities | No. | 1556 | 1600 | 1750 | 33 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Labor contract signing rate | % | 100 | 100 | 100 | 33 |
Number of employees aged 50 and above | No. | 106 | 115 | 139 | 33 |
Number of employees aged between 20 and 30 | No. | 692 | 553 | 469 | 33 |
Number of employees aged between 30 and 40 | No. | 1111 | 1231 | 1244 | 33 |
Number of employees aged between 40 and 50 | No. | 566 | 579 | 575 | 33 |
Number of employees at branches in Zhengzhou | No. | 237 | 232 | 229 | 33 |
Number of employees at branches outside Zhengzhou | No. | 1393 | 1366 | 1317 | 33 |
Number of employees from ethnic groups | No. | 84 | 81 | 79 | 33 |
Number of employees with a bachelor's degree | No. | 1697 | 1721 | 1712 | 33 |
Number of employees with a master's degree or higher | No. | 553 | 577 | 555 | 33 |
Number of employees with other academic qualifications | No. | 225 | 180 | 160 | 33 |
Number of female employees | No. | 1080 | 1081 | 1073 | 33 |
Number of male employees | No. | 1395 | 1397 | 1354 | 33 |
Number of new employees | No. | 383 | 223 | 215 | 33 |
Proportion of employees with a bachelor's degree | % | 68.6 | 69.5 | 70.5 | 33 |
Proportion of employees with a master's degree or higher | % | 22.3 | 23.2 | 22.9 | 33 |
Proportion of employees with other academic qualifications | % | 9.1 | 7.3 | 6.5 | 33 |
Ratio of female employees | % | 43.4 | 43.6 | 44.2 | 33 |
Ratio of male employees | % | 56.4 | 56.4 | 55.8 | 33 |
Total number of employees | No. | 2475 | 2478 | 2427 | 33 |
Total number of employees of the headquarters | No. | 845 | 880 | 881 | 33 |
Total number of employees of the headquarters (percentage) | % | 34.1 | 35.5 | 36.3 | 33 |
Total number of foreign employees | No. | 1 | 1 | 1 | 33 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Employee turnover rate of branches in Zhengzhou | % | 0.7 | 0.8 | 0.5 | 33 |
Employee turnover rate of branches outside Zhengzhou | % | 5.7 | 4.1 | 5.3 | 33 |
Turnover rate of the Head Office | % | 5.5 | 4 | 4.5 | 33 |
Lost days due to work injury.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Lost days due to work injury | Day | 553 | 33 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Healthcare benefit allowance cap | RMB 10000 | 13.8 | 10 | 33 | |
Number of pregnant and breast-feeding female employees being visited | No. | 19 | 16 | 20 | 33 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of information technology training sessions | No. | 6 | 6 | 32 | |
Organizing security training sessions | No. | 11 | 12 | 6 | 33 |
Number of suppliers by geographical region.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Aggregate Financing for clients | RMB 100 million | 133.7 | 202.5 | 32 |
Amount of toner | No. | 255 | 32 | |
Amount of toner and ink cartridge | No. | 647 | 124 | 32 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Complaint handling satisfaction rate | % | 78.57 | 32 |
Number of complaints received during the reporting period | No. | 42 | 32 |
The number of individual clients | No. | 1793034 | 32 |
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 | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Number of contract suits | No. | 34 | 29 | 32 |
Number of corruption events violating law or internal regulatory requirements during the reporting period | No. | 4 | 5 | 32 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Number of compliance management regulations developed and revised | No. | 17 | 18 | 32 |
Number of compliance promotion activities | No. | 143 | 168 | 32 |
Number of compliance supervisions | No. | 240 | 213 | 32 |
Number of contracts reviewed | No. | 4020 | 3933 | 32 |
Number of drills on information systems, networks and infrastructure | No. | 4 | 3 | 32 |
Number of employees covered by compliance education | No. | Over 2000 | Over 2000 | 32 |
Number of reminders, warnings, admonishments and penalties | No. | 3 | 8 | 32 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Hours of internal risk management training | No. | 138 | 66 | 32 |
Number of anti-corruption training sessions | No. | 6 | 6 | 32 |
Number of anti-money laundering training | No. | 6 | 13 | 32 |
Number of employees participating in anti-corruption training | No. | 504 | 600 | 32 |
Number of employees participating in internal risk management training | No. | 121 | 143 | 32 |
Number of employees participating in legal training | No. | 7200 | 8000 | 32 |
Number of internal risk management training sessions | No. | 17 | 22 | 32 |
Number of legal affairs training sessions | No. | 8 | 8 | 32 |
Number of legal training sessions | No. | 3 | 4 | 32 |
Number of people participating in anti-money laundering training | No. | Over 250 | Over 500 | 32 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of attendees covered by financial literacy development and investor education | No. | 248562 | 32 | ||
Poverty alleviation team building | No. | 13 | 13 | 13 | 33 |
Total investment in financial literacy development and investor education | RMB 10000 | 113.9 | 125.9 | 32 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Funds raised for inclusive finance | RMB 100 million | 4.9 | 7.4 | 32 | |
Number of retired employees being visited | No. | 7 | 4 | 5 | 33 |
Value of products purchased from poor areas | RMB 10000 | 21 | 35 | 75.6 | 33 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | Kg | 12.1 | 9.2 |
NOâ‚“ Emissions | Kg | 74.8 | 95.5 |
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 | 2019 | 2020 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | CO2 equivalent (t) | 300.7 | 43.8 |
GHG Emissions from Purchased Electricity | CO2 equivalent (t) | 3156.8 | 456.7 |
Indirect Energy Emissions (Scope 2) | CO2 equivalent (t) | 3156.8 | 456.7 |
Mobile Combustion Emissions | CO2 equivalent (t) | 300.7 | 43.8 |
Total GHG Emissions | CO2 equivalent (t) | 3457.5 | 500.5 |
Total GHG Emissions Intensity (By Employee) | CO2 equivalent t/person | 1.2 | 0.2 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Total Hazardous Waste Intensity (By Employee) | Number/person | 0.23 | 0.05 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Non-Hazardous Waste (Office Waste) | Kg | 22181.4 | 23120.3 |
Non-Hazardous Waste Recycled | Kg | 3626.9 | 3174.5 |
Total Non-Hazardous Waste Intensity (By Employee) | Kg/person | 7.8 | 9.6 |
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 | 2019 | 2020 |
---|---|---|---|
Gasoline Consumption | L | 144386.1 | 16187 |
Purchased Electricity | kWh | 5721411.3 | 506650 |
Purchased Electricity Intensity (By Employee) | kWh/person | 2018.1 | 206.5 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Water Consumption | Ton | 35630.7 | 3958.8 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Investment in Ecological Restoration | RMB 10000 | 4.6 | 12.8 | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Bachelor's Degree Employees | No. | 1697 | 1721 | 1712 |
Number of Below Junior College Employees | No. | 225 | 180 | 160 |
Number of Employees Aged 30-50 | No. | 1677 | 1810 | 1819 |
Number of Employees Aged Above 50 | No. | 106 | 115 | 139 |
Number of Employees Aged Below 30 | No. | 692 | 553 | 469 |
Number of Female Employees | No. | 1080 | 1081 | 1073 |
Number of Male Employees | No. | 1395 | 1397 | 1354 |
Number of Master's Degree Employees | No. | 553 | 577 | 555 |
Number of New Employees | No. | 383 | 223 | 215 |
Number of Total Employees | No. | 2475 | 2478 | 2427 |
Percentage of Bachelor's Degree Employees | % | 68.6 | 69.5 | 70.5 |
Percentage of Below Junior College Employees | % | 9.1 | 7.3 | 6.5 |
Percentage of Female Employees | % | 43.4 | 43.6 | 44.2 |
Percentage of Male Employees | % | 56.4 | 56.4 | 55.8 |
Percentage of Master's Degree Employees | % | 22.3 | 23.2 | 22.9 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Turnover Rate of Total Employees | % | 0.7 | 0.8 | 0.5 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 |
---|---|---|
Lost Days Due to Work-related Injuries | Day | 553 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Health Check Coverage for Employees | No. | 19 | 16 | 20 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Number of Training Sessions | No. | 11 | 18 | 12 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 |
---|---|---|
Satisfaction Rate of Customer Complaint Handling | % | 78.57 |
Total Number of Customer Complaints | No. | 42 |
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.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Number of Confirmed Incidents of Corruption | No. | 4 | 5 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Number of Anti-corruption Training Session | No. | 6 | 6 |
Number of People Participated in Ethical Standards and Anti-corruption Training | No. | 504 | 600 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Investment in Targeted Poverty Alleviation | RMB | 210000 | 350000 | 756000 |