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 |
---|---|---|---|---|
Nitrogen oxides emissions | Kg | 626 | 790 | 31, 38 |
Particulate matter emissions | Kg | 59 | 75 | 31, 38 |
Sulfur oxides emissions | Kg | 2.51 | 2.92 | 31, 38 |
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 |
---|---|---|---|---|
Direct greenhouse gas emissions (Scope 1) | Tonnes CO2e | 389 | 2637 | 31, 38 |
Greenhouse gas emission intensity | Tonnes CO2e / million sq.m., Tonnes CO2e/million sq.m. | 6.3 | 820 | 31, 38 |
Greenhouse gas emissions (Scope 1 + Scope 2) | Tonnes CO2e | 311543 | 31 | |
Greenhouse gas emissions (Scope 1 and Scope 2) | Tonnes CO2e | 50521 | 311543 | 38 |
Indirect greenhouse gas emissions (Scope 2) | Tonnes CO2e | 49682 | 308906 | 31, 38 |
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 |
---|---|---|---|---|
Hazardous waste intensity | Kg/million sq.m., kg/million sq.m. | Newly disclosed data in 2020 | 74 | 33, 38 |
Total hazardous waste produced | Kg | Newly disclosed data in 2020 | 28146 | 33, 38 |
Waste lamp | Kg, pcs | Newly disclosed data in 2020 | 18891 | 33, 38 |
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 |
---|---|---|---|---|
Food waste | Tonnes | 2080 | 33, 39 | |
Non-hazardous waste intensity | Tonnes/million sq.m. | 6 | 33 | |
Office paper waste | Tonnes | 21 | 62 | 33, 39 |
Total non-hazardous waste intensity | Tonnes/million sq. m. | 0.07 | 6 | 39 |
Total non-hazardous waste produced | T, Tonnes | 21 | 2143 | 33, 38 |
Waste ink cartridge | Kg, pcs | 619 | 2083 | 33, 38 |
Waste printer cartridge | pcs | 638 | 1712 | 38 |
Waste printer toner cartridge | Kg | 7172 | 33 |
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 |
---|---|---|---|---|
Diesel | Litre | 106014 | 39 | |
Diesel consumption | Litre | 106014 | 32 | |
Direct energy consumption | MWh | 1530 | 13385 | 32, 39 |
Gasoline | Litre | 171039 | 198428 | 39 |
Gasoline consumption | Litre | 198423 | 32 | |
Indirect energy consumption | MWh | 63015 | 362473 | 32, 39 |
Natural gas | m³ | 771419 | 39 | |
Natural gas consumption | m³ | 771419 | 32 | |
Piped gas | m³ | 8256 | 39 | |
Piped gas consumption | m³ | 2856 | 32 | |
Purchased electricity | MWh | 54057 | 323267 | 32, 39 |
Purchased heat | MWh | 39207 | 32 | |
Purchased heating | MWh | 8958 | 39207 | 39 |
Tankd LPG consumption | Kg | 208260 | 32 | |
Tanked LPG | Kg | 208280 | 39 | |
Total energy consumption | MWh | 64545 | 375858 | 32, 39 |
Total energy consumption intensity | MWh / million sq.m., MWh/million sq. m. | 225 | 989 | 32, 39 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Total water consumption | m³ | 8112096 | 32 | |
Water consumption in total | m³ | 1778670 | 8112096 | 39 |
Water consumption intensity | m³/million sq. m., m³/million sq.m. | 6197 | 21342 | 32, 39 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Employees aged 30 and under | Headcount | 10711 | 10930 | 39 |
Employees aged 31-50 | Headcount | 18775 | 21706 | 39 |
Employees aged 51 and above | Headcount | 2928 | 3325 | 39 |
Employees in Central China | Headcount | 5295 | 39 | |
Employees in Eastern China | Headcount | 3731 | 39 | |
Employees in Greater Bay Area | Headcount | 8113 | 39 | |
Employees in Mid-south China | Headcount | 4104 | 39 | |
Employees in Northeastern China | Headcount | 1827 | 39 | |
Employees in Northern China | Headcount | 5367 | 39 | |
Employees in Northwestern China | Headcount | 6189 | 39 | |
Employees in Southeastern China | Headcount | 4561 | 39 | |
Employees in Southern China | Headcount | 4864 | 39 | |
Managerial staff | Headcount | 1395 | 1439 | 39 |
Non-managerial staff | Headcount | 37379 | 42912 | 39 |
Number of female employees | Headcount | 14376 | 16874 | 39 |
Number of male employees | Headcount | 24398 | 27477 | 39 |
Total number of employees | Headcount | 38774 | 44351 | 39 |
Lost days due to work injury.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Lost days due to work injury | Days | 5026 | 513 | 39 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Female employees trained (percentage) | Headcount (%) | 14376(37%) | 16874(38%) | 24, 39 |
Male employees trained (percentage) | Headcount (%) | 24398(63%) | 27477(62%) | 24, 39 |
Management employees trained (percentage) | Headcount (%) | 1439 | 24 | |
Managerial staff trained (percentage) | Headcount (%) | 1395(4%) | 1439(3%) | 39 |
Non-management employees trained (percentage) | Headcount (%) | 42912 | 24 | |
Non-managerial staff trained (percentage) | Headcount (%) | 37379(96%) | 42912(97%) | 39 |
Total number of employees trained (percentage) | Headcount (%) | 38774(100%) | 44531 | 24, 39 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Average training hours of employees | hour | 48 | 24 | |
Average training hours of female employees | hour | 41 | 24 | |
Average training hours of male employees | hour | 51 | 24 | |
Average training hours of management | hour | 39 | 24 | |
Average training hours of non-management | hour | 49 | 24 | |
The average training hours completed per employee | Hours | 16 | 48 | 40 |
The average training hours completed per employee by employment category: Management | Hours | 21 | 39 | 40 |
The average training hours completed per employee by employment category: Non management | Hours | 15 | 49 | 40 |
The average training hours completed per employee by gender: Female | Hours | 16 | 41 | 40 |
The average training hours completed per employee by gender: Male | Hours | 15 | 51 | 40 |
Total training hours | Hours | 605883 | 2147704 | 40 |
Total training hours of employees | hour | 2147704 | 24 | |
Total training hours of female employees | hour | 697199 | 24 | |
Total training hours of male employees | hour | 1399925 | 24 | |
Total training hours of management | hour | 56377 | 24 | |
Total training hours of non-management | hour | 2091327 | 24 |
Number of suppliers by geographical region.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Number of suppliers by geographical region | Entity | 6093 | 8135 | 40 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Engineering complaints received in the property category | Times | Not disclosed | 2732 | 40 |
Other complaints received in the property category | Times | Not disclosed | 1692 | 40 |
Safety complaints received in the property category | Times | Not disclosed | 2890 | 40 |
Service complaints received in the property category | Times | Not disclosed | 8996 | 40 |
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 | Report Pages |
---|---|---|---|
Number of Supervisory Committee Meetings | 2 | 6 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of Meetings of the Board | 7 | 6 | |
Number of Meetings of the Board Committees | 7 | 6 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Employee participation in voluntary activities | Person-time | 12825 | 7076 | 40 |
Number of Shareholders' General Meetings | 2 | 6 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Amount in targeted poverty alleviation | Thousand RMB | 273 | 40 | 40 |
Other charity donations | Thousand RMB | 85 | 12 | 40 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | Kg | 59 | 75 |
NOₓ Emissions | Kg | 626 | 790 |
SOₓ Emissions | Kg | 2.51 | 2.92 |
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) | Tonnes CO2e | 389 | 2637 |
Indirect Energy Emissions (Scope 2) | Tonnes CO2e | 49682 | 308906 |
Total GHG Emissions | Tonnes CO2e | 50521 | 311543 |
Total GHG Emissions Intensity (By Area) | Tonnes CO2e/million sq.m. | 6.3 | 32 |
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 | Kg | 28146 |
Total Hazardous Waste Intensity (By Area) | kg/million sq.m. | 74 |
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 |
---|---|---|---|
Paper Waste | Tonnes | 21 | 62 |
Total Non-Hazardous Waste Intensity (By Area) | Tonnes/million sq. m. | 0.07 | 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 |
---|---|---|---|
Diesel Fuel Consumption | Litre | 106014 | |
Energy Consumption Intensity (By Area) | MWh/million sq. m. | 225 | 989 |
Gasoline Consumption | Litre | 171039 | 198428 |
LPG Consumption | Kg | 208280 | |
Natural Gas Consumption | m³ | 771419 | |
Purchased Electricity | MWh | 54057 | 323267 |
Purchased Heating | MWh | 8958 | 39207 |
Total Direct Energy Consumption | MWh | 1530 | 13385 |
Total Energy Consumption | MWh | 64545 | 375858 |
Total Indirect Energy Consumption | MWh | 63015 | 362673 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Water Consumption | m³ | 1778670 | 8112096 |
Water Consumption Intensity (By Revenue) | m³/million sq. m. | 6197 | 21342 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Number of Employees Aged 30-50 | Headcount | 18775 | 21706 |
Number of Employees Aged Above 50 | Headcount | 2928 | 3325 |
Number of Employees Aged Below 30 | Headcount | 10711 | 10930 |
Number of Employees in Central China | Headcount | 5295 | |
Number of Employees in East China | Headcount | 3731 | |
Number of Employees in Greater Bay Area | Headcount | 8113 | |
Number of Employees in Mid-south China | Headcount | 4104 | |
Number of Employees in North China | Headcount | 5367 | |
Number of Employees in Northeast China | Headcount | 1827 | |
Number of Employees in Northwest China | Headcount | 6189 | |
Number of Employees in South China | Headcount | 4864 | |
Number of Employees in Southeast China | Headcount | 4561 | |
Number of Female Employees | Headcount | 14376 | 16874 |
Number of Male Employees | Headcount | 24398 | 27477 |
Number of Total Employees | Headcount | 38774 | 44351 |
Percentage of Employees Aged 30-50 | Percent | 48.41 | 48.95 |
Percentage of Employees Aged Above 50 | Percent | 7.55 | 7.5 |
Percentage of Employees Aged Below 30 | Percent | 27.62 | 24.65 |
Percentage of Female Employees | Percent | 37.06 | 38.04 |
Percentage of Male Employees | Percent | 62.94 | 61.96 |
Lost days due to work injury.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Lost Days Due to Work-related Injuries | Days | 5026 | 513 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Percentage of Employees Trained | % | 100 | 100 |
Percentage of Trained Female Employees | % | 37 | 38 |
Percentage of Trained General Employees | % | 96 | 97 |
Percentage of Trained Male Employees | % | 63 | 62 |
Percentage of Trained Senior Management | % | 4 | 3 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Average Training Hours (Female) | Hours | 16 | 41 |
Average Training Hours (General Staff) | Hours | 15 | 49 |
Average Training Hours (Male) | Hours | 15 | 51 |
Average Training Hours (Senior Management) | Hours | 21 | 39 |
Average Training Hours per Employee | Hours | 16 | 48 |
Total Training Hours | Hours | 605883 | 697199 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Number of Total Suppliers | Entity | 6093 | 8135 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Product Health and Safety Complaints | Times | 2890 |
Number of Products and Service Related Complaints | Times | 8996 |
Total Number of Customer Complaints | Times | 16310 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Investment in Targeted Poverty Alleviation | Thousand RMB | 273 | 40 |
Total Social Investment | Thousand RMB | 358 | 52 |