2018 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Paper consumption per HK$100 million of revenue (all construction sites) | packs of A4 paper | 350 | 350 | 84 |
| Reinforcing bar loss rate (Civil and mechanical engineering construction sites) | % | Below 3.0 | Below 3.0 | 85 |
| Reinforcing bar loss rate (Foundation construction sites) | % | Below 4.0 | Below 4.0 | 85 |
| Reinforcing bar loss rate (Housing construction sites) | % | Below 4.5 | Below 4.5 | 85 |
| Timber consumption per HK$100 million of revenue (all construction sites) | cubic metres | 131 | 130 | 84 |
| Transported truckloads of trash | truckloads | 421 | 74 | |
| Waste recycling (offices) | Recycle all waste paper, computers, monitors, printer toner cartridges, hard drives and other accessories | Recycle all waste paper, computers, monitors, printer toner cartridges, hard drives and other accessories | 85 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Prevent climate change risks environmental expenditure | HK$ | 6653497 | 86 |
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 | Report Pages |
|---|---|---|---|---|
| Air emissions handling environmental expenditure | HK$ | 1574886 | 86 | |
| Concrete loss rate (bored pile construction sites) | % | 6 | 6 | 84 |
| Concrete loss rate (general construction sites) | % | 2 | 2 | 84 |
| Total paper consumption reduction (offices) | % compared to 2015-2017, % compared to 2016-2018 | 3 | 3 | 85 |
| Waste handling environmental expenditure | HK$ | 88271664 | 86 |
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 | Report Pages |
|---|---|---|---|---|
| Electricity consumption (offices) | kWh per square metre | Below 120 | 85 | |
| Electricity tariff per HK$100 million of revenue (all construction sites) | HKD | 240000 | 230000 | 84 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Sewage discharge handling environmental expenditure | HK$ | 9424234 | 86 | |
| Water tariff per HK$100 million of revenue (bored pile construction sites) | HKD | 65000 | 64000 | 84 |
| Water tariff per HK$100 million of revenue (general construction sites) | HKD | 56000 | 59000 | 84 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Total electricity consumption reduction (offices) | % compared to 2017, % compared to 2018 | 1.0 | 1.0 | 85 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Cleared fallen trees | fallen trees | 817 | 74 |
| Cleared sea sand | cubic metres | 700 | 74 |
| Dredging of villages and rivers (Shandong flood) | km | 10 | 75 |
| Environmental facilities expenditure | HK$ | 55578072 | 86 |
| Hire professional environmental personnel expenditure | HK$ | 9197545 | 86 |
| Landslides cleaned up in village towns (Shandong flood) | 28 | 75 | |
| Landslides cleared (Shandong flood) | 240 | 75 | |
| Locations repaired in factory (Shandong flood) | 19 | 75 | |
| Main river dredging (Shandong flood) | km | 7.9 | 75 |
| River slope protection (Shandong flood) | km | 2.66 | 75 |
| River trash cleaned up (Shandong flood) | km | 2 | 75 |
| Streets cleaned up in village towns (Shandong flood) | km | 9.75 | 75 |
| Total environmental expenditure | HK$ | 170699898 | 86 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015-2020 | 2018 | Report Pages |
|---|---|---|---|---|
| Number of Hong Kong construction workers over 55 years old | persons | 190000 | 37 | |
| Proportion of Hong Kong construction workers over 55 years old | % | 40 | 37 | |
| Proportion of global population aged over 60 | % | 12–22 | 37 | |
| Total number of global population aged over 60 | 900 million–2 billion | 37 |
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 | 2018 | Report Pages |
|---|---|---|---|
| Supplier satisfaction level (average) | % | 87.8 | 56 |
| Supplier satisfaction survey distributed questionnaires | questionnaires | 100 | 56 |
| Supplier satisfaction survey response rate | responses | 50 | 56 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Cleared metred roads | metres | 88000 | 74 |
| Cleared public space | square metre | 260283 | 74 |
| Equipment sets used for disaster relief | sets | 460 | 74 |
| Households helped by disaster relief (Shandong flood) | households | 1900 | 75 |
| Important agricultural production roads repaired (Shandong flood) | km | 42 | 75 |
| Major obstacles cleared (Shandong flood) | 55 | 75 | |
| People affected by Shandong floods | persons | 52648 | 75 |
| Villages helped by disaster relief (Shandong flood) | villages | 22 | 75 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Participation in disaster relief | people | 1627 | 74 |
| Value of basic supplies provided for Shandong flood relief | RMB | 200000 | 75 |
| Volunteer team size for Shandong flood relief | employees | 130 | 75 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit |
|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes |
| NOâ‚“ Emissions | tonnes |
| SOâ‚“ Emissions | tonnes |
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 |
|---|---|
| Direct GHG Emissions (Scope 1) | tonne of CO2-e |
| GHG Emissions from Natural Gas | tonne of CO2-e |
| GHG Emissions from Purchased Electricity | tonne of CO2-e |
| HFC Emissions | tonne of CO2-e |
| Indirect Energy Emissions (Scope 2) | tonne of CO2-e |
| Scope 3 GHG Emissions (Business Travel) | tonne of CO2-e |
| Scope 3 GHG Emissions (Waste Generated in Operations) | tonne of CO2-e |
| Total GHG Emissions | tonne of CO2-e |
| Total GHG Emissions Intensity (By Revenue) | tonne of CO2-e/million HK$ |
| Total Other Indirect Energy Emissions (Scope 3) | tonne of CO2-e |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Total Hazardous Waste | tonne |
| Total Hazardous Waste Intensity (By Revenue) | tonne/million HK$ |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Non-Hazardous Waste (Construction Waste) | tonne |
| Non-Hazardous Waste (Office Waste) | tonne |
| Non-Hazardous Waste Disposed | tonne |
| Non-Hazardous Waste Landfilling | tonne |
| Non-Hazardous Waste Reused | tonne |
| Paper Waste | tonne |
| Plastic Waste | tonne |
| Total Non-Hazardous Waste Intensity (By Revenue) | tonne/million HK$ |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 3 | 3 |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | MWh-e | ||
| Energy Consumption Intensity (By Revenue) | MWh-e/million HK$ | ||
| Gasoline Consumption | MWh-e | ||
| LPG Consumption | MWh-e | ||
| Natural Gas Consumption | MWh-e | ||
| Purchased Electricity | MWh-e | ||
| Purchased Electricity Intensity (By Revenue) | HKD | 240000 | 230000 |
| Renewable Energy Consumption | MWh-e | ||
| Sold Electricity | MWh-e | ||
| Total Energy Consumption | MWh-e |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Recycled Water Usage | cubic metre |
| Total Wastewater Discharge | cubic metre |
| Total Water Withdrawal | cubic metre |
| Water Consumption | cubic metre |
| Water Consumption Intensity (By Revenue) | cubic metre/million HK$ |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 1 | 1 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit |
|---|---|
| Packaging Material Consumption (Glass) | tonne |
| Packaging Material Intensity (By Revenue) | tonne/million HK$ |
| Packaging Materials Consumed | tonne |
| Usage of Packaging Materials (Wood) | tonne |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Investment in Ecological Restoration | HK$ | 170699898 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Employees in Canada | 71 | |
| Number of Employees in Hong Kong | 5016 | |
| Number of Employees in Macau | 707 | |
| Number of Employees in Mainland China | 7054 | |
| Number of Employees in United States | 62 | |
| Number of Female Employees | 2531 | |
| Number of Full-time Employees | 13253 | |
| Number of Full-time Employees (Female) | 2531 | |
| Number of Full-time Employees (Male) | 10722 | |
| Number of Male Employees | 10722 | |
| Number of New Employees | 4462 | |
| Number of New Employees (Above 50) | 631 | |
| Number of New Employees (Aged 30-50) | 2024 | |
| Number of New Employees (Aged Below 30) | 1807 | |
| Number of New Employees (Female) | 757 | |
| Number of New Employees (Hong Kong) | 2429 | |
| Number of New Employees (Mainland China) | 1724 | |
| Number of New Employees (Male) | 3705 | |
| Number of Part-time Employees | 3 | |
| Number of Part-time Employees (Female) | 1 | |
| Number of Part-time Employees (Male) | 2 | |
| Number of Temporary Workers (Female) | 44 | |
| Number of Temporary Workers (Male) | 138 | |
| Number of Total Employees | 10521 | |
| Percentage of Female Employees | % | 24.1 |
| Percentage of Full-time Employees | % | 126 |
| Percentage of Male Employees | % | 101.9 |
| Percentage of New Employees | % | 34 |
| Percentage of Part-time Employees | % | 0.03 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Employees Aged 30-50 | % |
| Turnover Rate of Employees Aged Above 50 | % |
| Turnover Rate of Employees Aged Below 30 | % |
| Turnover Rate of Employees in Canada | % |
| Turnover Rate of Employees in Hong Kong | % |
| Turnover Rate of Employees in Macau | % |
| Turnover Rate of Employees in Mainland China | % |
| Turnover Rate of Employees in United States | % |
| Turnover Rate of Female Employees | % |
| Turnover Rate of Male Employees | % |
| Turnover Rate of Total Employees | % |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | days |
| Lost Days Due to Work-related Injuries (Hong Kong) | days |
| Lost Days Due to Work-related Injuries (Mainland China) | days |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Trained Executive Employees | % |
| Percentage of Trained Female Employees | % |
| Percentage of Trained General Employees | % |
| Percentage of Trained Hong Kong Employees | % |
| Percentage of Trained Mainland China Employees | % |
| Percentage of Trained Male Employees | % |
| Percentage of Trained Middle Management | % |
| Percentage of Trained Senior Management | % |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Executive Employees) | hours |
| Average Training Hours (Female) | hours |
| Average Training Hours (General Staff) | hours |
| Average Training Hours (Hong Kong Employees) | hours |
| Average Training Hours (Mainland China Employees) | hours |
| Average Training Hours (Male) | hours |
| Average Training Hours (Middle Management) | hours |
| Average Training Hours (Senior Management) | hours |
| Average Training Hours per Employee | hours |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers in Hong Kong | |
| Number of Suppliers in Mainland China | |
| Number of Suppliers in United States | |
| Number of Total Suppliers |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit |
|---|---|
| Percentage of Recalled Products for Safety and Health Reasons |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit |
|---|---|
| Number of Patents Granted |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | RMB | 200000 |
| Number of Employees Participating in Volunteer Activities | employees | 130 |
| Number of Participations in Volunteer Activities | person-times | 1627 |