SUSTAINABILITY REPORT 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| NOx emission | kg | 170 | 93 |
| SOx emission | kg | 95164 | 93 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| GHG emissions for Scope 1 | tonnes CO2e | 335694 | 93 | |
| GHG emissions for Scope 2 | tonnes CO2e | 84607 | 93 | |
| Per employee GHG emission decrease for scope 1 (2018 vs 2014) | 7.5% | 10 | ||
| Per employee GHG emission decrease for scope 2 (2018 vs 2014) | 24.2% | 10 | ||
| Reduction in greenhouse gas emissions compared with 2018 | 16.0% | 12 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Batteries (hazardous waste) | tonnes | 3.9 | 94 |
| Fluorescent lamps (hazardous waste) | tonnes | 1.1 | 94 |
| Toner cartridges (hazardous waste) | pieces | 381 | 94 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2014 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Environmental Bags recycled | pieces | 218 | 51 | ||
| General waste to landfill / incineration | tonnes | 8599.2 | 94 | ||
| Glass recycled | tonnes | 11.1 | 51 | ||
| Metals recycled | tonnes | 32.9 | 51, 94 | ||
| Paper recycled | tonnes | 526.1 | 51, 94 | ||
| Per employee paper use decrease (2018 vs 2014) | 34.5% | 10 | |||
| Reduction in newspaper distributed on vessels due to WiFi availability | percent | over 80% | 77 | ||
| Ticket size reduction and paper consumption reduction by TurboJET | percent | 40 | 78 |
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 | 2017 | 2019 | Report Pages |
|---|---|---|---|---|
| Batteries recycled | tonnes | 3.9 | 51 | |
| Fluorescent Lamps recycled | tonnes | 1.1 | 51 | |
| Food Waste recycled | tonnes | 2.5 | 51 | |
| Old Books recycled | pieces | 914 | 51 | |
| Paper saved from ticket printout after eBoarding introduction | kg | 120 | 78 | |
| Plastics recycled | tonnes | 7.4 | 51, 94 | |
| Toner Cartridges recycled | pieces | 381 | 51 | |
| Used Clothes recycled | tonnes | 15.7 | 51 | |
| Used Furniture and Electronic Equipment recycled | pieces | 530 | 51 | |
| Used clothes recycled | tonnes | 15.7 | 94 | |
| Waste Oil recycled | litres | 22280 | 51 |
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 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Diesel | ‘000 kWh | 1152013 | 92 | ||||||
| Electricity | ‘000 kWh | 106545 | 92 | ||||||
| Electricity Consumption in Hong Kong Offices | kWh | 900000 | 870000 | 860000 | 860000 | 860000 | 860000 | 830000 | 58 |
| Liquefied petroleum gas | ‘000 kWh | 3022 | 92 | ||||||
| Piped natural gas | ‘000 kWh | 241 | 92 | ||||||
| Reduction in energy consumption compared with 2018 | 18.9% | 12 | |||||||
| Total energy use | ‘000 kWh | 1262016 | 92 | ||||||
| Towngas | ‘000 kWh | 77 | 92 | ||||||
| Unleaded petrol | ‘000 kWh | 118 | 92 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Amount of greywater recycled at Grand Coloane | m3 | 21627 | 59 |
| Cubic metre of greywater recycled | cubic metre | 21627 | 12 |
| Municipal water use | cubic metre | 1081934 | 93 |
| Paper use | tonnes | 35.9 | 93 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2014 | 2014 to 2019 | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Cumulative percentage of fuel saved for TriCat vessels (2018 vs 2014) | 37.7% | 10 | |||||||
| Cumulative reduction in electricity consumption of offices since 2014 | 41.2% | 12 | |||||||
| Cumulative reduction in fuel consumption for TriCat vessels against 2011 baseline | 43% | 12 | |||||||
| Per employee overall energy use decrease (2018 vs 2014) | 18.5% | 10 | |||||||
| Per employee overall energy use reduction | percent | 29 | 19 | ||||||
| Reduction in Electricity Consumption in Hong Kong Offices | % | 4 | 5 | 5 | 5 | 5 | 9 | 58 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2014 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Attributable operating profit | million HKD | 6284 | 12 | ||
| Gender Distribution Entry level Female | percentage | 38% | 64 | ||
| Gender Distribution Entry level Male | percentage | 62% | 64 | ||
| Gender Distribution Middle level Female | percentage | 37% | 64 | ||
| Gender Distribution Middle level Male | percentage | 63% | 64 | ||
| Gender Distribution Senior level Female | percentage | 39% | 64 | ||
| Gender Distribution Senior level Male | percentage | 61% | 64 | ||
| New Hire - 30–50 years old | no. (%) | 370 | 95 | ||
| New Hire - Female | no. (%) | 426 | 95 | ||
| New Hire - Group overall | no. (%) | 805 | 95 | ||
| New Hire - Hong Kong | no. (%) | 270 | 95 | ||
| New Hire - Macau | no. (%) | 475 | 95 | ||
| New Hire - Mainland China | no. (%) | 58 | 95 | ||
| New Hire - Male | no. (%) | 379 | 95 | ||
| New Hire - Over 50 years old | no. (%) | 142 | 95 | ||
| New Hire - Singapore | no. (%) | 2 | 95 | ||
| New Hire - Under 30 years old | no. (%) | 293 | 95 | ||
| Percentage of female employees in total workforce | % | 32 | 38 | 18 | |
| Total Number of Employees | 4252 | 64 | |||
| Total Workforce - 30–50 years old | no. (%) | 1938 | 95 | ||
| Total Workforce - Entry level | no. (%) | 3455 | 95 | ||
| Total Workforce - Middle level | no. (%) | 618 | 95 | ||
| Total Workforce - Over 50 years old | no. (%) | 1617 | 95 | ||
| Total Workforce - Senior level | no. (%) | 179 | 95 | ||
| Total Workforce - Under 30 years old | no. (%) | 697 | 95 | ||
| Total Workforce Female | employees | 1601 | 64 | ||
| Total Workforce Female China | employees | 73 | 64 | ||
| Total Workforce Female Hong Kong | employees | 691 | 64 | ||
| Total Workforce Female Macau | employees | 830 | 64 | ||
| Total Workforce Female Singapore | employees | 7 | 64 | ||
| Total Workforce Male | employees | 2651 | 64 | ||
| Total Workforce Male China | employees | 70 | 64 | ||
| Total Workforce Male Hong Kong | employees | 1475 | 64 | ||
| Total Workforce Male Macau | employees | 1103 | 64 | ||
| Total Workforce Male Singapore | employees | 3 | 64 | ||
| Total workforce - Female | no. (%) | 1601 (37.7%) | 94 | ||
| Total workforce - Hong Kong | no. (%) | 2166 (50.9%) | 94 | ||
| Total workforce - Macau | no. (%) | 1933 (45.5%) | 94 | ||
| Total workforce - Mainland China | no. (%) | 143 (3.4%) | 94 | ||
| Total workforce - Male | no. (%) | 2651 (62.3%) | 94 | ||
| Total workforce - Singapore | no. (%) | 10 (0.2%) | 94 | ||
| Total workforce increase compared to 2014 | 17% | 11 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Turnover - 30–50 years old | no. (%) | 378 | 95 |
| Turnover - Female | no. (%) | 392 | 95 |
| Turnover - Group overall | no. (%) | 986 | 95 |
| Turnover - Hong Kong | no. (%) | 513 | 95 |
| Turnover - Macau | no. (%) | 422 | 95 |
| Turnover - Mainland China | no. (%) | 48 | 95 |
| Turnover - Male | no. (%) | 594 | 95 |
| Turnover - Over 50 years old | no. (%) | 325 | 95 |
| Turnover - Singapore | no. (%) | 3 | 95 |
| Turnover - Under 30 years old | no. (%) | 283 | 95 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Injury rate (Female) | Per 1000 employees | 8.23 | 96 | |
| Injury rate (Male) | Per 1000 employees | 9.17 | 96 | |
| Injury rate decrease for female employees compared to 2015 | 34% | 11 | ||
| Injury rate decrease for male employees compared to 2015 | 36% | 11 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Absentee rate (Female) | % | 0.49 | 96 |
| Absentee rate (Male) | % | 0.97 | 96 |
| Lost day rate (Female) | % | 0.09 | 96 |
| Lost day rate (Male) | % | 0.09 | 96 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of employees who got full marks in the TurboJET OHS Quiz competition | employees | 44 | 73 |
| Number of employees who joined the TurboJET OHS Quiz competition | employees | 763 | 73 |
| Percentage of employees who got more than 90% of the total mark in the TurboJET OHS Quiz competition | percent | Over 20% | 73 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of participants in Macau Tower Learning Tour (including students from Mainland China and Macau studying property management) | participants | 60 | 67 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2014-2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Accumulated hours of training taken by employees | hours | 183279 | 11 | |
| Average hours of training per employee by employment category (Entry level) | hours | 5.3 | 96 | |
| Average hours of training per employee by employment category (Middle level) | hours | 4.6 | 96 | |
| Average hours of training per employee by employment category (Senior level) | hours | 12.3 | 96 | |
| Average hours of training per employee by gender (Female) | hours | 4.1 | 96 | |
| Average hours of training per employee by gender (Male) | hours | 6.3 | 96 | |
| Average hours of training received per employee | hours | 5.5 | 96 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Suppliers by Geographical Region (Hong Kong) | no. (%) | 1607 (46.3%) | 96 |
| Suppliers by Geographical Region (Macau) | no. (%) | 1185 (34.1%) | 96 |
| Suppliers by Geographical Region (Other regions) | no. (%) | 679 (19.6%) | 96 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2015-2018 | 2016-2018 | Report Pages |
|---|---|---|---|---|
| Average passenger satisfaction rate at TurboJET | 93% | 11 | ||
| Average resident / tenant satisfaction rate at property management | 91.6% | 11 | ||
| Average visitor satisfaction rate at Macau Tower | 89.7% | 11 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2014–2018 | 2016-2017 | 2016-2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Economic value distributed | HK$’000 | 9985171 | 92 | |||
| Economic value retained | HK$’000 | 5108949 | 92 | |||
| No. of beneficiaries served (Community Work) | no. | 8165 | 96 | |||
| No. of programmes (Community Work) | no. | 142 | 96 | |||
| Number of beneficiaries served | 48809 | 8165 | 10, 12 | |||
| Number of programmes participated | 142 | 12 | ||||
| Number of students from St. Mary's Canossian College visiting Group headquarters and TurboJET's Control Centre | students | 10 | 67 | |||
| Partnership with Association of Parents of the People with Intellectual Disabilities of Macau - Number of beneficiaries | persons | 152 | 42 | |||
| Tutorial Service (language, art, mass games) for Ethnic Minority Children - Number of beneficiaries | persons | 32 | 42 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2014–2018 | 2015 | 2016-2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|
| Accumulated amount of monetary and in-kind donations | HKD | 21480032 | 10 | ||||
| Accumulated hours of community service | hours | 28054 | 10 | ||||
| Amount of charity in-kind donations (Community Work) | HK$ | 1656648 | 96 | ||||
| Amount raised in TWGHs Halloween Charity Run for Ho Yuk Ching Educational Psychology Service Centre | HKD | 139000 | 41 | ||||
| Amount raised in Tung Wah Flag Day by volunteers | HKD | 30000 | 41 | ||||
| Direct economic value generated | HK$’000 | 15094120 | 92 | ||||
| No. of volunteer hours (Community Work) | hours | 4955 | 96 | ||||
| Number of staff and family members volunteering in Tung Wah Flag Day | people | 50 | 41 | ||||
| Revenue | million HKD | 14649 | 12 | ||||
| Total amount of monetary and in-kind donations to charity | HKD | 1656648 | 12 | ||||
| Total hours of community service contributed | hours | 4955 | 12 | ||||
| Total number of volunteers | 1195 | 12 | |||||
| Tutorial Service (language, art, mass games) for Ethnic Minority Children - Number of volunteers | persons | 22 | 42 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| NOâ‚“ Emissions | kg | 170 |
| SOâ‚“ Emissions | kg | 95164 |
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 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 335694 | |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 84607 | |
| Scope 1 GHG Emissions Intensity (By Employee) | % decrease vs 2014 | -7.5 | |
| Scope 2 GHG Emissions Intensity (By Employee) | % decrease vs 2014 | -24.2 | |
| Total GHG Emissions | tonnes CO2e | 420301 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Hazardous Waste (Used Batteries) | tonnes | 3.9 |
| Total Hazardous Waste | tonnes | 5 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Glass Waste | tonnes | 11.1 |
| Non-Hazardous Waste Landfilling | tonnes | 8599.2 |
| Non-Hazardous Waste Recycled | tonnes | 570.1 |
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 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|---|---|---|
| Diesel Fuel Consumption | kWh | 1152013000 | ||||||
| Gasoline Consumption | kWh | 118000 | ||||||
| LPG Consumption | kWh | 3022000 | ||||||
| Natural Gas Consumption | kWh | 241000 | ||||||
| Purchased Electricity | kWh | 900000 | 870000 | 860000 | 860000 | 860000 | 860000 | 830000 |
| Total Energy Consumption | kWh | 1262016000 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Municipal Water Consumption | cubic metre | 1081934 |
| Recycled Water Usage | cubic metre | 21627 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 4 | 5 | 5 | 5 | 5 | 9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees Aged 30-50 | employees | 1938 |
| Number of Employees Aged Above 50 | employees | 1617 |
| Number of Employees Aged Below 30 | employees | 697 |
| Number of Employees in Hong Kong | employees | 2166 |
| Number of Employees in Macau | employees | 1933 |
| Number of Employees in Mainland China | employees | 143 |
| Number of Employees in Singapore | employees | 10 |
| Number of Female Employees | employees | 1601 |
| Number of Male Employees | employees | 2651 |
| Number of New Employees | employees | 805 |
| Number of New Employees (Above 50) | employees | 142 |
| Number of New Employees (Aged 30-50) | employees | 370 |
| Number of New Employees (Aged Below 30) | employees | 293 |
| Number of New Employees (Female) | employees | 426 |
| Number of New Employees (Hong Kong) | employees | 270 |
| Number of New Employees (Mainland China) | employees | 58 |
| Number of New Employees (Male) | employees | 379 |
| Number of Total Employees | employees | 4252 |
| Percentage of Employees Aged 30-50 | % | 45.6 |
| Percentage of Employees Aged Above 50 | % | 38 |
| Percentage of Employees Aged Below 30 | % | 16.4 |
| Percentage of Employees in Hong Kong | % | 50.9 |
| Percentage of Employees in Macau | % | 45.5 |
| Percentage of Employees in Mainland China | % | 3.4 |
| Percentage of Employees in Singapore | % | 0.2 |
| Percentage of Female Employees | % | 37.7 |
| Percentage of Male Employees | % | 62.3 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | no. (%) | 378 |
| Turnover Rate of Employees Aged Above 50 | no. (%) | 325 |
| Turnover Rate of Employees Aged Below 30 | no. (%) | 283 |
| Turnover Rate of Employees in Hong Kong | no. (%) | 513 |
| Turnover Rate of Employees in Macau | no. (%) | 422 |
| Turnover Rate of Employees in Mainland China | no. (%) | 48 |
| Turnover Rate of Employees in Singapore | no. (%) | 3 |
| Turnover Rate of Female Employees | no. (%) | 392 |
| Turnover Rate of Male Employees | no. (%) | 594 |
| Turnover Rate of Total Employees | no. (%) | 986 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | % | 0.18 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of People Receiving Training on Work Safety | employees | 763 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Trained General 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 | 2014-2018 | 2019 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 4.1 | |
| Average Training Hours (General Staff) | hours | 5.3 | |
| Average Training Hours (Male) | hours | 6.3 | |
| Average Training Hours (Middle Management) | hours | 4.6 | |
| Average Training Hours (Senior Management) | hours | 12.3 | |
| Average Training Hours per Employee | hours | 5.5 | |
| Total Training Hours | hours | 183279 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Suppliers in Hong Kong | no. | 1607 |
| Number of Total Suppliers | no. | 3471 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Registered Volunteers | persons | 1195 |
| Total In-kind Donations | HKD | 1656648 |
| Total Public Welfare Donations | HKD | 1656648 |
| Total Social Investment | HKD | 1656648 |
| Total Volunteer Service Hours | hours | 4955 |