SUSTAINABLE DEVELOPMENT REPORT 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Emissions from vehicles - NOx | kg | .15 | 289.63 | 58 | |
Emissions from vehicles - SOx | kg | 1.81 | 1.42 | 0.95 | 58 |
Fire extinguishers emissions | kg | 15773 | 59 | ||
Refrigerant - R134a emissions | kg | 43212 | 59 | ||
Refrigerant - R410a emissions | kg | 654 | 59 |
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 | 2011 | 2018 | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|---|---|
CH4 (methane) emissions | 116047 | 59 | |||||
Decrease in Scope 1 and 2 carbon emissions intensity from 2011 baseline | % | 41 | 21 | ||||
Decrease in Scope 1 and 2 carbon emissions intensity from 2019 | % | 15 | 11 | 21, 25 | |||
Decrease in Scope 1 and 2 carbon emissions intensity from baseline year 2011 | % | 41 | 25 | ||||
Decrease in carbon emissions intensity | % | 3.33 | 33.3 | 21, 25 | |||
Decrease in carbon emissions intensity compared to 2011 baseline | % | -32 | 6 | ||||
GHG emissions Scope 1 & Scope 2 combined | kgCO2 equivalent | 107166819 | 101966028 | 106311948 | 58 | ||
GHG emissions from purchased electricity (Scope 2) | kgCO2 equivalent | 97923674 | 91483559 | 90328178 | 58 | ||
GHG emissions from stationary combustion (Scope 1) | kgCO2 equivalent | 9243145 | 10482469 | 15983770 | 58 | ||
Increase in overall Scope 1 carbon emissions from 2019 | % | 52 | 25 | ||||
Scope 1 & Scope 2 per square metre of floor area | kgCO2 equivalent/m² | 64.23 | 62.6 | 52.91 | 58 |
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 | .16 | 58 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Discharge density of non-hazardous waste | Tonne/1000m² | 16.17 | 17.18 | 13.42 | 58 |
Dry garbage | tonnes | 41764 | 58 | ||
Recycled materials | tonnes | 3764 | 58 | ||
Sewage discharge | m³ | 1303165 | 1197088 | 1040512 | 58 |
Tonnes of waste diverted from landfill and sent to recycling | tonnes | 3746 | 21, 25 | ||
Total discharge of construction waste | 37776 | 39125 | 29711 | 58 | |
Total discharge of household garbage | tonnes | 68853 | 80144 | 63697 | 58 |
Total discharge of non-hazardous waste | tonnes | 106629 | 119270 | 93407 | 58 |
Wet garbage | tonnes | 21933 | 58 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Value of first Green Bond issued | US dollars | 300000000 | 6 |
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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Compliant handling rate | % | 100% | 100% | 100% | 61 |
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 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Decrease in energy intensity from 2019 | % | 18 | 17 | 21, 25 | |
Diesel consumption | 122 | 112 | 536 | 58 | |
Diesel consumption within the organization | Litre | 12442 | 59 | ||
Electricity consumption within the organization | MWh | 106156 | 59 | ||
Electricity purchased from the grid | MWh | 93814 | 104196 | 106156 | 58 |
Energy Intensity - Chongqing Project | MWh/1000m² | 25.57 | 59 | ||
Energy Intensity - Foshan Project | MWh/1000m² | 11.8 | 59 | ||
Energy Intensity - Hongqiao Project | MWh/1000m² | 23.2 | 59 | ||
Energy Intensity - Rui Hong Project | MWh/1000m² | 13.04 | 59 | ||
Energy Intensity - Shanghai KIC | MWh/1000m² | 19.28 | 59 | ||
Energy Intensity - Taipingqiao Project | MWh/1000m² | 15.31 | 59 | ||
Energy Intensity - Wuhan Project | MWh/1000m² | 28.85 | 59 | ||
Gasoline consumption | 887 | 733 | 1849 | 58 | |
Gasoline consumption within the organization | 50505 | 59 | |||
Intensity of energy consumption | MWh/1000m² | 72.71 | 75.65 | 62.16 | 58 |
Natural gas consumption | 26576 | 18171 | 16349 | 58 | |
Natural gas consumption within the organization | 1548873 | 59 | |||
Total energy consumption | 121340 | 123212 | 124889 | 58 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Decrease in water intensity from 2019 | % | 30 | 30 | 21, 25 | |
Total water consumption | m³ | 1449626 | 1330098 | 1156125 | 58 |
Water consumption intensity | m³/1000m² | 868.25 | 816.64 | 679.52 | 58 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Water withdrawal (Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency initiatives and results achieved) | No issues related to sourcing water that was fit for purpose | 68 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Percentage of completed commercial projects that were green certified | % | over 80 | 6 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Diversity of governance body by age group - 30–50 years old | % | 11.1% | 63 | ||
Diversity of governance body by age group - < 30 years old | % | 0% | 63 | ||
Diversity of governance body by age group - > 50 years old | % | 88.9% | 63 | ||
Diversity of governance body by gender - Female | % | 11.1% | 63 | ||
Diversity of governance body by gender - Male | % | 88.9% | 63 | ||
Employment by age group - 30-50 years | # employees | 2069 | 2251 | 2206 | 60 |
Employment by age group - 50 years and above | # employees | 372 | 357 | 365 | 60 |
Employment by age group - Under 30 years | # employees | 673 | 629 | 570 | 60 |
Employment by contract type - Permanent contract | # employees | 876 | 60 | ||
Employment by contract type - Temporary contract | # employees | 2265 | 60 | ||
Employment by employee category - Middle Management | # employees | 271 | 289 | 60 | |
Employment by employee category - Operational staff | # employees | 164 | 180 | 60 | |
Employment by employee category - Senior Management | # employees | 126 | 122 | 60 | |
Employment by employee category - Staff | # employees | 2676 | 2550 | 60 | |
Employment by employment type - Full time | # employees | 3141 | 60 | ||
Employment by gender - Female | # employees | 1467 | 1532 | 1479 | 60 |
Employment by gender - Male | # employees | 1647 | 1705 | 1662 | 60 |
Employment by gender - Total | # employees | 3114 | 3237 | 3141 | 60 |
Employment by geographical region - Hong Kong | # employees | 7 | 8 | 60 | |
Employment by geographical region - Mainland China | # employees | 3230 | 3133 | 60 | |
Gender split - male/female average ratio | 53.7/46.3 | 21 | |||
Total number of employees that returned to work after parental leave ended that were still employed 12 months after their return to work - Female | # | 75 | 63 | ||
Total number of employees that returned to work after parental leave ended that were still employed 12 months after their return to work - Male | # | 26 | 63 | ||
Total number of employees that returned to work after parental leave ended that were still employed 12 months after their return to work - Total | # | 101 | 63 | ||
Total number of employees that took parental leave - Female | # | 75 | 63 | ||
Total number of employees that took parental leave - Male | # | 26 | 63 | ||
Total number of employees that took parental leave - Total | # | 101 | 63 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Decrease in turnover rate from previous year | percentage points | 3 | 21 | ||
Employee turnover rate by age group - 30-50 years | % | 21% | 21% | 17% | 60 |
Employee turnover rate by age group - 50 years and above | % | 25% | 17% | 26% | 60 |
Employee turnover rate by age group - Under 30 years | % | 35% | 27% | 24% | 60 |
Employee turnover rate by gender - Female | % | 25% | 20% | 17% | 60 |
Employee turnover rate by gender - Male | % | 31% | 23% | 21% | 60 |
Employee turnover rate by geographical region - Hong Kong | % | 13% | 60 | ||
Employee turnover rate by geographical region - Mainland China | % | 28% | 22% | 19% | 60 |
Retention rates of employees that took parental leave - Female | % | 100% | 63 | ||
Retention rates of employees that took parental leave - Male | % | 100% | 63 | ||
Retention rates of employees that took parental leave - Total | % | 100% | 63 | ||
Turnover rate | % | 19 | 21 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of fatalities as a result of work-related injury - Workers | # | 1 | 63 | ||
Number of recordable work-related injuries | # | 13 | 63 | ||
Number of workplace fatalities - Employees | # employees | 1 | 60 | ||
Number of workplace fatalities - Workers | # employees | 1 | 60 | ||
Rate of workplace fatalities | % | 0.03% | 60 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Number of lost days due to work injury | # days | 305 | 493 | 483 | 61 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Female employees attended training sessions | % | 88.6 | 21 | ||
Male employees attended training sessions | % | 94.5 | 21 | ||
Operational staff received job-specific training | % | 100 | 21 | ||
Percentage of employees trained by employee category - Middle Management | % | 82.3% | 90.1% | 96.9% | 61 |
Percentage of employees trained by employee category - Operational staff | % | 100% | 61 | ||
Percentage of employees trained by employee category - Senior Management | % | 74.3% | 78.7% | 95.9% | 61 |
Percentage of employees trained by employee category - Staff | % | 84.4% | 86.5% | 90.5% | 61 |
Percentage of employees trained by gender - Female | % | 75.9% | 81.3% | 88.8% | 61 |
Percentage of employees trained by gender - Male | % | 87.9% | 91.4% | 94.5% | 61 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Average hours of employee development training provided | hours | 21.8 | 21 | ||
Average training hours completed by employee category - Middle Management | Hour | 14.4 | 18.2 | 23.9 | 61 |
Average training hours completed by employee category - Operational staff | Hour | 22.2 | 61 | ||
Average training hours completed by employee category - Senior Management | Hour | 12 | 12.1 | 16.9 | 61 |
Average training hours completed by employee category - Staff | Hour | 15.3 | 16.8 | 21.8 | 61 |
Average training hours completed by gender - Female | Hours | 13.4 | 12.9 | 16.4 | 61 |
Average training hours completed by gender - Male | Hours | 18 | 20.6 | 26.7 | 61 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
New suppliers from Mainland China | 545 | 21 | |||
Number of increased Chinese Mainland contractors | 36 | 172 | 248 | 61 | |
Number of increased Chinese Mainland suppliers | 55 | 398 | 297 | 61 | |
Percentage of products and services purchased locally | % | 100% | 63 | ||
Suppliers from China | 3901 | 4299 | 4627 | 61 | |
Suppliers from Hong Kong | # | 52 | 61 | ||
Suppliers from elsewhere | 64 | 67 | 61 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
New suppliers that were screened using social criteria - Contractors | # | 248 | 63 |
New suppliers that were screened using social criteria - Government Supporting Facilities | # | 10 | 63 |
New suppliers that were screened using social criteria - Suppliers | # | 297 | 63 |
Suppliers screened using social criteria | % | 100 | 21 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Office building customer satisfaction | # out of 100 | 95.7 | 94.7 | 93.8 | 61 |
Overall customer satisfaction of the properties | 91.7 | 94.1 | 94.7 | 61 | |
Residential customer satisfaction | # out of 100 | 90.8 | 94.8 | 95.1 | 61 |
Shopping mall customer satisfaction | 91.1 | 92.8 | 95.2 | 61 | |
Total services related complaints received | # | 317 | 352 | 285 | 61 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Communicated about organization's anti-corruption policies & procedures | % | 100% | 63 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Trained on Organization's anti-corruption policies and procedures | % | 100% | 63 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Overall residential customer satisfaction rate | % | 95 | 21 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
RMB donated to Wuhan Red Cross for COVID-19 relief | million RMB | 10 | 21 | ||
RMB donated to local charities | million RMB | 13 | 21 | ||
Total charitable donations (in cash) | 3184071 | 3773800 | 13419899 | 61 | |
Total charitable donations by company | RMB | 3090000 | 3750000 | 13353671 | 61 |
Total charitable donations by employees | 94071 | 23800 | 66228 | 61 | |
Total hours of employee volunteering contributed | Hours | 460 | 360 | 2192 | 61 |
Volunteer hours contributed | hours | 2100 | 21 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
NOₓ Emissions | kg | 0.15 | 289.63 | |
SOₓ Emissions | kg | 1.81 | 1.42 | 0.95 |
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 | 2018 | 2019 | 2020 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | kgCO2 equivalent | 9243145 | 10482469 | 15983770 |
GHG Emissions from Purchased Electricity | kgCO2 equivalent | 97923674 | 91483559 | 90328178 |
Indirect Energy Emissions (Scope 2) | kgCO2 equivalent | 97923674 | 91483559 | 90328178 |
Stationary Combustion Emissions | kgCO2 equivalent | 9243145 | 10482469 | 15983770 |
Total GHG Emissions | kgCO2 equivalent | 107166819 | 101966028 | 106311948 |
Total GHG Emissions Intensity (By Area) | kgCO2 equivalent/m² | 64.23 | 62.6 | 52.91 |
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 | 0.16 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Non-Hazardous Waste (Construction Waste) | tonnes | 37776 | 39125 | 29711 |
Non-Hazardous Waste (Domestic Waste) | tonnes | 68853 | 80144 | 63697 |
Non-Hazardous Waste Disposed | tonnes | 106629 | 119270 | 93407 |
Non-Hazardous Waste Recycled | tonnes | 3746 | ||
Total Non-Hazardous Waste Intensity (By Area) | Tonne/1000m² | 16.17 | 17.18 | 13.42 |
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 | 2018 | 2019 | 2020 |
---|---|---|---|---|
Diesel Fuel Consumption | 122 | 112 | 536 | |
Energy Consumption Intensity (By Area) | MWh/1000m² | 72.71 | 75.65 | 62.16 |
Gasoline Consumption | 887 | 733 | 1849 | |
Natural Gas Consumption | 26576 | 18171 | 16349 | |
Purchased Electricity | MWh | 93814 | 104196 | 106156 |
Total Energy Consumption | 121340 | 123212 | 124889 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Water Consumption | m³ | 1449626 | 1330098 | 1156125 |
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 Employees Aged 30-50 | # employees | 2069 | 2251 | 2206 |
Number of Employees Aged Above 50 | # employees | 372 | 357 | 365 |
Number of Employees Aged Below 30 | # employees | 673 | 629 | 570 |
Number of Employees in Hong Kong | # employees | 7 | 8 | |
Number of Employees in Mainland China | # employees | 3230 | 3133 | |
Number of Female Employees | # employees | 1467 | 1532 | 1479 |
Number of Full-time Employees | # employees | 3141 | ||
Number of Male Employees | # employees | 1647 | 1705 | 1662 |
Number of Temporary Workers | # employees | 2265 | ||
Number of Total Employees | # employees | 3114 | 3237 | 3141 |
Percentage of Female Employees | % | 46.3 | ||
Percentage of Male Employees | % | 53.7 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Percentage of Employees still Employed 12 Months after Return to Work | % | 100 | ||
Percentage of Employees still Employed 12 Months after Return to Work (Female) | % | 100 | ||
Percentage of Employees still Employed 12 Months after Return to Work (Male) | % | 100 | ||
Turnover Rate of Employees Aged 30-50 | % | 21 | 21 | 17 |
Turnover Rate of Employees Aged Above 50 | % | 25 | 17 | 26 |
Turnover Rate of Employees Aged Below 30 | % | 35 | 27 | 24 |
Turnover Rate of Employees in Hong Kong | % | 13 | ||
Turnover Rate of Employees in Mainland China | % | 28 | 22 | 19 |
Turnover Rate of Female Employees | % | 25 | 20 | 17 |
Turnover Rate of Male Employees | % | 31 | 23 | 21 |
Turnover Rate of Total Employees | % | 19 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | # | 1 | ||
Number of Work-related Fatalities | # | 1 | 1 | 1 |
Work-related Fatalities Rate | % | 0.03 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | # days | 305 | 493 | 483 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Percentage of Trained Female Employees | % | 75.9 | 81.3 | 88.8 |
Percentage of Trained General Employees | % | 84.4 | 86.5 | 90.5 |
Percentage of Trained Male Employees | % | 87.9 | 91.4 | 94.5 |
Percentage of Trained Middle Management | % | 82.3 | 90.1 | 96.9 |
Percentage of Trained Operational Employees | % | 100 | ||
Percentage of Trained Senior Management | % | 74.3 | 78.7 | 95.9 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Average Training Hours (Female) | Hours | 13.4 | 12.9 | 16.4 |
Average Training Hours (General Staff) | Hour | 15.3 | 16.8 | 21.8 |
Average Training Hours (Male) | Hours | 18 | 20.6 | 26.7 |
Average Training Hours (Middle Management) | Hour | 14.4 | 18.2 | 23.9 |
Average Training Hours (Operational Employees) | Hour | 22.2 | ||
Average Training Hours (Senior Management) | Hour | 12 | 12.1 | 16.9 |
Average Training Hours per Employee | hours | 21.8 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Suppliers in Hong Kong | # | 52 | ||
Number of Suppliers in Mainland China | 3901 | 4299 | 4627 | |
Number of Suppliers in Overseas | 64 | 67 | ||
Proportion of Spending on Local Suppliers | % | 100 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Suppliers Participated in Sustainability Risk Assessment | # | 555 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Complaint Growth Rate | % | 11.04 | -19.03 | |
Number of Products and Service Related Complaints | # | 317 | 352 | 285 |
Total Number of Customer Complaints | # | 317 | 352 | 285 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of Employees Anti-corruption Policies have been Communicated to | % | 100 |
Description of anti-corruption training provided to directors and staff.
Standard Indicator | Unit | 2020 |
---|---|---|
Coverage Rate of Ethical Standards and Anti-corruption Training | % | 100 |
Coverage of Anti-corruption Training for Employees | % | 100 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Donations to Disaster Relief Contributions to Public Welfare | RMB | 10000000 | ||
Total Cash Donations | RMB | 3184071 | 3773800 | 13419899 |
Total Public Welfare Donations | RMB | 3184071 | 3773800 | 13419899 |
Total Volunteer Service Hours | Hours | 460 | 360 | 2192 |