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 | 2019 | 2020 | Report Pages |
---|---|---|---|---|
GHG Emission – Scope 3 – Corporate Offices | tCO2-e | 0.174 | 94 | |
GHG Emission – Scope 3 – ISP | tCO2-e | 1.74 | 94 | |
GHG Emission – Scope 3 – PFM | tCO2-e | 1.495 | 94 | |
GHG Emission – Scope 3 – Total | tCO2-e | 3.409 | 94 | |
NOx Emissions – Corporate Offices | kg | 173.743 | 94 | |
NOx Emissions – ISP | kg | 20.664 | 94 | |
NOx Emissions – Total | kg | 194.407 | 94 | |
NOx emissions from exhaust gas (all corporate vehicles) | kg | 219.421 | 194.407 | 82 |
PM Emissions – Corporate Offices | kg | 16.056 | 94 | |
PM Emissions – ISP | kg | 1.859 | 94 | |
PM Emissions – Total | kg | 17.915 | 94 | |
PM emissions from exhaust gas (all corporate vehicles) | kg | 20.238 | 17.915 | 82 |
SOx Emissions – Corporate Offices | kg | 0.64 | 94 | |
SOx Emissions – ISP | kg | 0.251 | 94 | |
SOx Emissions – Total | kg | 0.891 | 94 | |
SOx emissions from exhaust gas (all corporate and employee vehicles) | kg | 0.601 | 0.891 | 82 |
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 |
---|---|---|---|---|
GHG Emission Intensity by Area | tCO2-e/m2 | 0.005 | 94 | |
GHG Emission Intensity by Workforce | tCO2-e/person | 0.111 | 94 | |
GHG Emission – Scope 1 – Corporate Offices | tCO2-e | 147.106 | 94 | |
GHG Emission – Scope 1 – ISP | tCO2-e | 45.283 | 94 | |
GHG Emission – Scope 1 – Total | tCO2-e | 192.389 | 94 | |
GHG Emission – Scope 2 – Corporate Offices | tCO2-e | 164.946 | 94 | |
GHG Emission – Scope 2 – ISP | tCO2-e | 18.053 | 94 | |
GHG Emission – Scope 2 – PFM | tCO2-e | 138.085 | 94 | |
GHG Emission – Scope 2 – Total | tCO2-e | 321.084 | 94 | |
Scope 1 Direct Emissions | tonnes of CO2e | 201.973 | 192.389 | 83 |
Scope 2 Indirect Emissions | tonnes of CO2e | 257.567 | 321.084 | 83 |
Scope 3 Other Indirect Emissions | tonnes of CO2e | 4.836 | 3.409 | 83 |
Total GHG Emissions (Scope 1–3) | tonnes of CO2e | 464.376 | 516.882 | 83 |
Total GHG Emissions (Scope 1–3) – Corporate Offices | tCO2-e | 312.226 | 94 | |
Total GHG Emissions (Scope 1–3) – ISP | tCO2-e | 65.076 | 94 | |
Total GHG Emissions (Scope 1–3) – PFM | tCO2-e | 139.58 | 94 | |
Total GHG Emissions (Scope 1–3) – Total | tCO2-e | 516.882 | 94 |
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 - Corporate Offices | Tonnes | N/A | 96 |
Non-Hazardous Waste - ISP | Tonnes | 2767.1 | 96 |
Non-Hazardous Waste - PFM | Tonnes | N/A | 96 |
Non-Hazardous Waste - Total | Tonnes | 2767.1 | 96 |
Recycled Paper - Corporate Offices | kg | 1268000 | 96 |
Recycled Paper - ISP | kg | N/A | 96 |
Recycled Paper - PFM | kg | N/A | 96 |
Recycled Paper - Total | kg | 1268000 | 96 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Compliance with all environmental legal requirements and regulations (ISP Interior Special Projects) | % | >90 | 77 |
Compliance with all environmental legal requirements and regulations (PFM Property and Facility Management) | % | 100 | 77 |
Provision of environmental training to staff (ISP Interior Special Projects, Monthly) | % | 100 | 77 |
Provision of environmental training to staff (PFM Property and Facility Management, Bi-monthly) | % | 100 | 77 |
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 Usage | L | 25422.21 | 22681 | 85 |
Diesel Usage - Corporate Offices | Litre | 21932920 | 95 | |
Diesel Usage - ISP | Litre | 748550 | 95 | |
Diesel Usage - PFM | Litre | N/A | 95 | |
Diesel Usage - Total | Litre | 22681470 | 95 | |
Electricity Usage | kWh | 505032 | 404307 | 85 |
Electricity Usage - Corporate Offices | kWh | 329891250 | 95 | |
Electricity Usage - ISP | kWh | 361065350 | 95 | |
Electricity Usage - PFM | kWh | 38039667 | 95 | |
Electricity Usage - Total | kWh | 404307470 | 95 | |
Energy Consumption | kWh | 505032 | 404307 | 85 |
Energy Usage Intensity by Area - Corporate Offices | MJ/m² | 670.034 | 95 | |
Energy Usage Intensity by Area - ISP | MJ/m² | 7.684 | 95 | |
Energy Usage Intensity by Area - PFM | MJ/m² | 3280.56 | 95 | |
Energy Usage Intensity by Area - Total | MJ/m² | 48.01 | 95 | |
Energy Usage Intensity by Revenue - Corporate Offices | MJ/HK$'000 | N/A | 95 | |
Energy Usage Intensity by Revenue - ISP | MJ/HK$'000 | 1.88 | 95 | |
Energy Usage Intensity by Revenue - PFM | MJ/HK$'000 | 1.619 | 95 | |
Energy Usage Intensity by Revenue - Total | MJ/HK$'000 | 4.091 | 95 | |
Energy Usage Intensity by Workforce - Corporate Offices | MJ/person | N/A | 95 | |
Energy Usage Intensity by Workforce - ISP | MJ/person | N/A | 95 | |
Energy Usage Intensity by Workforce - PFM | MJ/person | N/A | 95 | |
Energy Usage Intensity by Workforce - Total | MJ/person | 987.774 | 95 | |
Natural Gas Usage | m³ | - | 27722 | 85 |
Natural Gas Usage - Corporate Offices | m³ | N/A | 95 | |
Natural Gas Usage - ISP | m³ | N/A | 95 | |
Natural Gas Usage - PFM | m³ | 27722581 | 95 | |
Natural Gas Usage - Total | m³ | 27722581 | 95 | |
Petroleum Usage | L | 49921 | 35756 | 85 |
Petroleum Usage - Corporate Offices | Litre | 19504560 | 95 | |
Petroleum Usage - ISP | Litre | 16252140 | 95 | |
Petroleum Usage - PFM | Litre | N/A | 95 | |
Petroleum Usage - Total | Litre | 35756700 | 95 | |
Total Energy Usage | MJ | 4468926 | 4612902 | 85 |
Total Energy Usage - Corporate Offices | MJ | 2689182346 | 95 | |
Total Energy Usage - ISP | MJ | 704624483 | 95 | |
Total Energy Usage - PFM | MJ | 1219095448 | 95 | |
Total Energy Usage - Total | MJ | 4612092277 | 95 | |
Total distance travelled by Group's vehicles | km | 268336 | 82 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Water Usage - Corporate Offices | m³ | 313000 | 96 |
Water Usage - ISP | m³ | 3122645 | 96 |
Water Usage - PFM | m³ | 2683381 | 96 |
Water Usage - Total | m³ | 6119026 | 96 |
Water Usage Intensity by Area - Corporate Offices | m³/m² | 0.424 | 96 |
Water Usage Intensity by Area - ISP | m³/m² | 0.084 | 96 |
Water Usage Intensity by Area - PFM | m³/m² | 7.221 | 96 |
Water Usage Intensity by Area - Total | m³/m² | 0.16 | 96 |
Water Usage Intensity by Revenue - Corporate Offices | m³/HKS'000 | N/A | 96 |
Water Usage Intensity by Revenue - ISP | m³/HKS'000 | 0.008 | 96 |
Water Usage Intensity by Revenue - PFM | m³/HKS'000 | 0.004 | 96 |
Water Usage Intensity by Revenue - Total | m³/HKS'000 | 0.005 | 96 |
Water Usage Intensity by Workforce - Corporate Offices | m³/person | N/A | 96 |
Water Usage Intensity by Workforce - ISP | m³/person | N/A | 96 |
Water Usage Intensity by Workforce - PFM | m³/person | N/A | 96 |
Water Usage Intensity by Workforce - Total | m³/person | 1.31 | 96 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Promotion of environmental protection (ISP Interior Special Projects, Biannually) | % | 100 | 77 |
Promotion of environmental protection (PFM Property and Facility Management, Quarterly) | % | 100 | 77 |
Response to environmental non-compliance reports within 14 days (ISP Interior Special Projects) | % | 100 | 77 |
Response to environmental non-compliance reports within 14 days (PFM Property and Facility Management) | % | 100 | 77 |
Total number of awards for Programme on Source Separation of Domestic Waste Commendation Scheme increase | % | 19.5 | 9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Workforce by Age - 30–50 Years Old | Person | 1334 | 97 |
Workforce by Age - <30 Years Old | Person | 556 | 97 |
Workforce by Age - >50 Years Old | Person | 2780 | 97 |
Workforce by Category - Executive | Person | 5 | 97 |
Workforce by Category - General Staff | Person | 4089 | 97 |
Workforce by Category - Manager-Grade | Person | 157 | 97 |
Workforce by Category - Officer-Grade | Person | 419 | 97 |
Workforce by Employment - Contract | Person | 516 | 97 |
Workforce by Employment - Full-time | Person | 3165 | 97 |
Workforce by Employment - Part-time | Person | 989 | 97 |
Workforce by Gender - Female | Person | 2174 | 97 |
Workforce by Gender - Male | Person | 2496 | 97 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Employee Turnover Rate by Age Group - 30–50 Years Old | Person | 263 | 98 |
Employee Turnover Rate by Age Group - <30 Years Old | Person | 86 | 98 |
Employee Turnover Rate by Age Group - >50 Years Old | Person | 459 | 98 |
Employee Turnover Rate by Gender - Female | Person | 401 | 98 |
Employee Turnover Rate by Gender - Male | Person | 407 | 98 |
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 |
---|---|---|---|---|---|
Work Related Injury Rate (ISP) | Per 1000 Employees | 5.03 | 99 | ||
Work Related Injury Rate (PFM) | Per 1000 Employees | 15.7 | 99 | ||
Work Related Injury Rate (Total) | Per 1000 Employees | N/A | 99 | ||
Work-related Injury Rate per 1000 employees (ISP) | below 5.5 | 9 | |||
Work-related Injury Rate per 1000 employees (PFM Business) | below 16 | 9 | |||
Work-related injury rate (ISP) | Per 1000 employees | 8.77 | 15.31 | 5 | 56 |
Work-related injury rate (PFM) | Per 1000 employees | 16 | 18.1 | 15.7 | 56 |
Work-related injury rate target (ISP) | Per 1000 employees | 7.5 | 7.5 | 16 | 56 |
Work-related injury rate target (PFM) | Per 1000 employees | 17 | 17 | 16 | 56 |
Lost days due to work injury.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Lost Days due to Work-Related Injury (ISP) | No. of Days | 316 | 99 | ||
Lost Days due to Work-Related Injury (PFM) | No. of Days | 4085 | 99 | ||
Lost Days due to Work-Related Injury (Total) | No. of Days | 4401 | 99 | ||
Lost days (ISP) | No. of days | 1860 | 1201 | 316¹ | 56 |
Lost days (PFM) | No. of days | 5629 | 5938 | 4085 | 56 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Successful transition to ISO 45001 Occupational Health and Safety Management System (PFM Business) | ISO 45001 | 9 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total Number of Attendees | Person | 12935 | 98 |
Usage of E-learning platform increase | % | 13 | 9 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
External Training Hours | Hours, hours | 1164 | 752 | 63, 98 |
Internal Training Hours | Hours, hours | 8350 | 14306 | 63, 98 |
Total internal training hours increase | % | 71 | 9 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Increase in user installation of Synergis Community Application (SCA) | % | 25 | 39 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Percentage of PFM sites actively using Synergis Community Application (SCA) | % | 60 | 39 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Installation of the Synergis Community Application increase | % | 25 | 9 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Total Amount of Donation (ISP) | HK$'000 | N/A | 99 |
Total Amount of Donation (PFM) | HK$'000 | 37 | 99 |
Total Amount of Donation (Total) | HK$'000 | 37 | 99 |
Total Number of Volunteering Hours (ISP) | Hour | 46 | 99 |
Total Number of Volunteering Hours (PFM) | Hour | 106 | 99 |
Total Number of Volunteering Hours (Total) | Hour | 152 | 99 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | kg | 20.238 | 17.915 |
NOₓ Emissions | kg | 219.421 | 194.407 |
SOₓ Emissions | kg | 0.601 | 0.891 |
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 of CO2e | 201.973 | 192.389 |
Indirect Energy Emissions (Scope 2) | tonnes of CO2e | 257.567 | 321.084 |
Total GHG Emissions | tonnes of CO2e | 464.376 | 516.882 |
Total GHG Emissions Intensity (By Area) | tCO2-e/m2 | 0.005 | |
Total GHG Emissions Intensity (By Employee) | tCO2-e/person | 0.111 | |
Total Other Indirect Energy Emissions (Scope 3) | tonnes of CO2e | 4.836 | 3.409 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Non-Hazardous Waste Disposed | Tonnes | 2767.1 |
Non-Hazardous Waste Recycled | Tonnes | 1268 |
Paper Waste | Tonnes | 1268 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
GHG Emissions Reduction Compared to Last Year | kg |
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 | L | 25422.21 | 22681470 |
Electricity Consumption | kWh | 505032 | 404307470 |
Energy Consumption Intensity (By Area) | MJ/m² | 48.01 | |
Energy Consumption Intensity (By Employee) | MJ/person | 987.774 | |
Energy Consumption Intensity (By Revenue) | MJ/HK$'000 | 4.091 | |
Natural Gas Consumption | m³ | 27722581 | |
Petroleum Consumption | L | 49921 | 35756700 |
Total Energy Consumption | MJ | 4468926 | 4612092277 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 |
---|---|---|
Total Water Withdrawal | m³ | 6119026 |
Water Consumption Intensity (By Revenue) | m³/HKS'000 | 0.005 |
Water Consumption in Office | m³ | 313000 |
Water Consumption in Production and Operation | m³ | 5806026 |
Water Withdrawal Intensity | m³/m² | 0.16 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Number of Contractors | Person | 516 |
Number of Employees Aged 30-50 | Person | 1334 |
Number of Employees Aged Above 50 | Person | 2780 |
Number of Employees Aged Below 30 | Person | 556 |
Number of Female Employees | Person | 2174 |
Number of Full-time Employees | Person | 3165 |
Number of Male Employees | Person | 2496 |
Number of Part-time Employees | Person | 989 |
Number of Total Employees | Person | 4670 |
Percentage of Contractors | % | 11.05 |
Percentage of Employees Aged 30-50 | % | 28.57 |
Percentage of Employees Aged Above 50 | % | 59.52 |
Percentage of Employees Aged Below 30 | % | 11.91 |
Percentage of Female Employees | % | 46.53 |
Percentage of Full-time Employees | % | 67.8 |
Percentage of Male Employees | % | 53.47 |
Percentage of Part-time Employees | % | 21.18 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2020 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | Person | 263 |
Turnover Rate of Employees Aged Above 50 | Person | 459 |
Turnover Rate of Employees Aged Below 30 | Person | 86 |
Turnover Rate of Female Employees | Person | 401 |
Turnover Rate of Male Employees | Person | 407 |
Lost days due to work injury.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | No. of Days | 7489 | 7139 | 4401 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of Trained Administrative Employees | % | 7 |
Percentage of Trained General Employees | % | 4 |
Percentage of Trained Operational Employees | % | 86 |
Percentage of Trained Technical Employees | % | 3 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Total Training Hours | hours | 9514 | 15808.5 |
Number of suppliers by geographical region.
Standard Indicator | Unit |
---|---|
Number of Local Suppliers | |
Number of Total Suppliers | |
Proportion of Spending on Local Suppliers | percent |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 |
---|---|---|
Total Public Welfare Donations | HK$'000 | 37 |
Total Social Investment | HK$'000 | 37 |
Total Volunteer Service Hours | Hour | 152 |