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 |
|---|---|---|---|
| Number of feeder bus fleet upgraded to EURO V emission standard | buses | 130 | 33 |
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 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| MTR Nordic - CO2e compensated through Gold Standard Clean Development Mechanism project | tonnes CO2e | 367 | 35 | ||
| MTR Nordic - Scope 1 and Scope 3 emissions from business travel compensated | 100% | 35 | |||
| Number of vehicles replaced with new EURO V emission standard | vehicles | 32 | 33 | ||
| Scope 1 Emissions Breakdown - Corporate Support Functions and Main Office Buildings | tonnes CO2e | 153 | 123 | 31 | |
| Scope 1 Emissions Breakdown - Network Expansion | tonnes CO2e | 3062 | 3844 | 31 | |
| Scope 1 Emissions Breakdown - Properties and Other Business | tonnes CO2e | 7121 | 5230 | 31 | |
| Scope 1 Emissions Breakdown - Transport Operations | tonnes CO2e | 33775 | 36487 | 31 | |
| Scope 1 Emissions in Hong Kong | tonnes CO2e | 48924 | 44102 | 46134 | 31 |
| Scope 2 Emissions Breakdown - Corporate Support Functions and Main Office Buildings | tonnes CO2e | 13609 | 13328 | 31 | |
| Scope 2 Emissions Breakdown - Network Expansion | tonnes CO2e | 2033 | 1070 | 31 | |
| Scope 2 Emissions Breakdown - Properties and Other Business | tonnes CO2e | 221622 | 226390 | 31 | |
| Scope 2 Emissions Breakdown - Transport Operations | tonnes CO2e | 1025186 | 1091724 | 31 | |
| Scope 2 Emissions in Hong Kong | tonnes CO2e | 1257663 | 1262450 | 1332512 | 31 |
| Scope 3 Emissions Breakdown - Corporate Support Functions and Main Office Buildings | tonnes CO2e | 542 | 623 | 31 | |
| Scope 3 Emissions Breakdown - Network Expansion | tonnes CO2e | 808 | 869 | 31 | |
| Scope 3 Emissions Breakdown - Properties and Other Business | tonnes CO2e | 2620 | 2228 | 31 | |
| Scope 3 Emissions Breakdown - Transport Operations | tonnes CO2e | 11647 | 6444 | 31 | |
| Scope 3 Emissions in Hong Kong | tonnes CO2e | 27806 | 15617 | 10165 | 31 |
| Total GHG Emissions in Hong Kong (Scope 1, 2, 3) | tonnes CO2e | 1334293 | 1322169 | 1388811 | 31 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Reduction in hazardous waste generated by MTR (Shenzhen) | percent | 31 | 36 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average recycling rate of waste generated from MTR Elizabeth line operations | percent | 13 | 36 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2025 | Report Pages |
|---|---|---|---|
| MTR Nordic target: reduction in CO2 by 2025 (baseline 2018) | % | 50 | 34 |
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 |
|---|---|---|---|---|
| Number of chemicals left to be phased out by 2020 in MTR Nordic | 1 | 36 | ||
| Number of chemicals on MTR Nordic phase-out list | 57 | 39 | 36 |
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 | 2017 | 2018 | 2019 | 2020 | 2023 | Report Pages |
|---|---|---|---|---|---|---|---|
| Electricity Consumption in Hong Kong - Properties | MWh | 395323 | 387909 | 400824 | 32 | ||
| Electricity Consumption in Hong Kong - Railway Operations - Heavy Rail | MWh | 1573174 | 1580443 | 1559734 | 32 | ||
| Electricity Consumption in Hong Kong - Railway Operations - Light Rail and Bus | MWh | 55170 | 55099 | 53341 | 32 | ||
| Electricity Consumption in Hong Kong - Railway Operations - Total | MWh | 1628344 | 1635542 | 1613075 | 32 | ||
| Electricity Consumption in Hong Kong - Total | MWh | 2023667 | 2023451 | 2013899 | 32 | ||
| Electricity Consumption of Heavy Rail Operations - Hong Kong | GWh | 1580.44 | 1559.73 | 32 | |||
| Electricity Consumption of Heavy Rail Operations - Melbourne's Metropolitan Rail Services | GWh | 462.59 | 468.78 | 32 | |||
| Electricity Consumption of Heavy Rail Operations - Shenzhen Metro Line 4 | GWh | 93.77 | 98.29 | 32 | |||
| Electricity Consumption of Heavy Rail Operations - Stockholm Metro | GWh | 168.48 | 165.77 | 32 | |||
| Electricity Consumption of Heavy Rail Operations - Stockholm's MTR Express | GWh | 18.73 | 19.24 | 32 | |||
| Electricity Consumption of Heavy Rail Operations - Stockholms Pendeltåg | GWh | 215.19 | 194.94 | 32 | |||
| Electricity Consumption of Heavy Rail Operations - TfL Rail/Elizabeth line | GWh | 60.36 | 74.14 | 32 | |||
| Electricity Consumption of Heavy Rail Operations - Total | GWh | 2599.56 | 2580.89 | 32 | |||
| Electricity consumption per passenger-kilometre in heavy rail network (reduction target compared with 2008 level) | percent | -21% | 30 | ||||
| LED lighting units replaced in Comeng fleet (Metro Trains Melbourne) | train units | 136 | 34 | ||||
| Number of umbrella dryers to be installed at office buildings | 20 | 36 | |||||
| Reduction in energy consumption from LED upgrade in Comeng fleet (Metro Trains Melbourne) | MWh | 3570 | 34 | ||||
| Reduction in energy consumption in depots and stations - district heating | percent | 10 | 35 | ||||
| Reduction in energy consumption in depots and stations - electricity consumption | percent | 4.5 | 35 | ||||
| Taipa Line, Macau - length of line | km | 9.3 | 50 | ||||
| Target reduction in energy use for investment properties portfolio (compared to 2013) | % | 12 | 33 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | 2023 | 2025 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption reduction achieved for Hong Kong investment properties portfolio (compared to 2013) | % | 12 | 33 | ||
| Electricity savings from vehicle replacement | GWh | 7.2 | 33 | ||
| Energy consumption reduction by replacing fluorescent light tubes with LED | % | more than 50 | 33 | ||
| Energy use in investment properties portfolio (reduction target compared with 2013 level) | percent | -12% | 30 | ||
| MTR Nordic target: reduction in total energy by 2025 (baseline 2018) | % | 15 | 34 | ||
| MTR Nordic target: renewable electricity by 2019 | % | 100 | 34 | ||
| MTR Nordic target: renewable fuels in own cars and replacement traffic by 2025 | % | 100 | 34 | ||
| Number of fluorescent light tubes planned for replacement with LED at Headquarters | light tubes | 10000 | 33 | ||
| Number of traditional downlights in Kowloon Bay Depot canteen replaced by LED lamps | downlights | 400 | 33 | ||
| Percentage of fluorescent light tubes at Headquarters replaced by end of 2019 | % | 13 | 33 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| BEAM Plus Standard Awarded for Austin Station (Site C Residential) (The Austin) | BEAM Plus Gold (Final Assessment) | 33 | ||||
| BEAM Plus Standard Awarded for Austin Station (Site D Residential) (Grand Austin) | BEAM Plus Gold (Final Assessment) | 33 | ||||
| BEAM Plus Standard Awarded for Long Ping Station North (Residential) (the Spectra) | BEAM Plus Gold (Final Assessment) | 33 | ||||
| BEAM Plus Standard Awarded for Maritime Square Extension Retail | BEAM Plus Silver (Final Assessment) | 33 | ||||
| BEAM Plus Standard Awarded for Nam Cheong Station (Residential) (Cullinan West) | BEAM Plus Gold (Final Assessment) | 33 | ||||
| BEAM Plus Standard Awarded for Tsuen Wan West Station (Bayside Residential) (Ocean Pride) | BEAM Plus Gold (Final Assessment) | 33 | ||||
| BEAM Plus Standard Awarded for Tsuen Wan West Station (Cityside Residential) (Parc City) | BEAM Plus Gold (Final Assessment) | 33 | ||||
| BEAM Plus Standard Awarded for Tsuen Wan West Station (Tsuen Wan 6 Residential) (Pavillia Bay) | BEAM Plus Gold (Final Assessment) | 33 | ||||
| Hangzhou Metro Line 5, China - initial phase length | km | 17.76 | 50 | |||
| Hangzhou Metro Line 5, China - initial phase number of stations | stations | 12 | 50 | |||
| Hangzhou Metro Line 5, China - total length when completed | km | 51.5 | 50 | |||
| Hangzhou Metro Line 5, China - total number of stations when completed | stations | 38 | 50 | |||
| High Speed Rail (Hong Kong Section) - number of Mainland stations covered | stations | 58 | 50 | |||
| High Speed Rail (Hong Kong Section) - number of long-haul trains per day | trains per day | 17 | 50 | |||
| High Speed Rail (Hong Kong Section) - number of long-haul trains per day (previous) | trains per day | 13 | 50 | |||
| High Speed Rail (Hong Kong Section) - number of new destinations without interchange | destinations | 14 | 50 | |||
| High Speed Rail (Hong Kong Section) - passenger trips since commencement of service | passenger trips | 22000000 | 50 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Economic Value Retained for Reinvestment | HK$ Million | 3879 | 11 | |||||
| Full-time employees in Hong Kong in 2019 | employees | 17742 | 41 | |||||
| Full-time employees in London in 2019 | employees | 1132 | 41 | |||||
| Full-time employees in Melbourne in 2019 | employees | 5478 | 41 | |||||
| Full-time employees in Shenzhen in 2019 | employees | 1625 | 41 | |||||
| Full-time employees in Stockholm in 2019 | employees | 4222 | 41 | |||||
| Full-time female employees in Hong Kong in 2019 with continuous contracts | employees | 3188 | 41 | |||||
| Full-time female employees in Hong Kong in 2019 with renewable contracts | employees | 580 | 41 | |||||
| Full-time female employees in Hong Kong in 2019 with temporary contracts | employees | 22 | 41 | |||||
| Full-time male employees in Hong Kong in 2019 with continuous contracts | employees | 11965 | 41 | |||||
| Full-time male employees in Hong Kong in 2019 with renewable contracts | employees | 1949 | 41 | |||||
| Full-time male employees in Hong Kong in 2019 with temporary contracts | employees | 38 | 41 | |||||
| Gender distribution of full-time employees in Hong Kong in 2019, Female | % | 21 | 41 | |||||
| Gender distribution of full-time employees in Hong Kong in 2019, Male | % | 79 | 41 | |||||
| Gender distribution of full-time employees in London in 2019, Female | % | 22 | 41 | |||||
| Gender distribution of full-time employees in London in 2019, Male | % | 78 | 41 | |||||
| Gender distribution of full-time employees in Melbourne in 2019, Female | % | 24 | 41 | |||||
| Gender distribution of full-time employees in Melbourne in 2019, Male | % | 76 | 41 | |||||
| Gender distribution of full-time employees in Shenzhen in 2019, Female | % | 24 | 41 | |||||
| Gender distribution of full-time employees in Shenzhen in 2019, Male | % | 76 | 41 | |||||
| Gender distribution of full-time employees in Stockholm in 2019, Female | % | 27 | 41 | |||||
| Gender distribution of full-time employees in Stockholm in 2019, Male | % | 73 | 41 | |||||
| Number of Apprentices | 102 | 43 | ||||||
| Number of Graduate Engineers | 12 | 43 | ||||||
| Number of Technician Associates | 25 | 43 | ||||||
| Number of colleagues recognised for long service of 20, 30 and 40 years | 510 | 43 | ||||||
| Number of individuals with disabilities employed | 468 | 43 | ||||||
| Ordinary Dividends - Other Shareholders | HK$ Million | 1813 | 11 | |||||
| Percentage of full-time female employees in Hong Kong in 2019 with continuous contracts | % | 84.1 | 41 | |||||
| Percentage of full-time female employees in Hong Kong in 2019 with renewable contracts | % | 15.3 | 41 | |||||
| Percentage of full-time female employees in Hong Kong in 2019 with temporary contracts | % | 0.6 | 41 | |||||
| Percentage of full-time male employees in Hong Kong in 2019 with continuous contracts | % | 85.8 | 41 | |||||
| Percentage of full-time male employees in Hong Kong in 2019 with renewable contracts | % | 13.9 | 41 | |||||
| Percentage of full-time male employees in Hong Kong in 2019 with temporary contracts | % | 0.3 | 41 | |||||
| Percentage of total female workforce in Hong Kong in 2019, full-time | % | 68.7 | 41 | |||||
| Percentage of total female workforce in Hong Kong in 2019, part-time | % | 31.3 | 41 | |||||
| Percentage of total male workforce in Hong Kong in 2019, full-time | % | 94.3 | 41 | |||||
| Percentage of total male workforce in Hong Kong in 2019, part-time | % | 5.7 | 41 | |||||
| Persons with Disabilities Employed in Hong Kong | % | 1.6 | 1.6 | 1.7 | 2 | 2.4 | 2.7 | 43 |
| Staff Costs - Employees | HK$ Million | 15418 | 11 | |||||
| Total female workforce in Hong Kong in 2019, full-time | employees | 3790 | 41 | |||||
| Total female workforce in Hong Kong in 2019, part-time | employees | 1723 | 41 | |||||
| Total full-time employees (all locations) in 2019 | employees | 30199 | 41 | |||||
| Total male workforce in Hong Kong in 2019, full-time | employees | 13952 | 41 | |||||
| Total male workforce in Hong Kong in 2019, part-time | employees | 845 | 41 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of customer and public injuries requiring hospitalisation in Hong Kong - Bus | 6 | 1 | 6 | 17 | |
| Number of customer and public injuries requiring hospitalisation in Hong Kong - Heavy Rail | 129 | 83 | 62 | 17 | |
| Number of customer and public injuries requiring hospitalisation in Hong Kong - Light Rail | 17 | 12 | 10 | 17 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Bus (Performance) | 9.44 | 1.57 | 9.52 | 17 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Bus (Target) | 6.88 | 6.88 | 6.88 | 17 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Heavy Rail (Performance) | 7.3 | 4.6 | 3.67 | 17 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Heavy Rail (Target) | 9.29 | 9.26 | 8.56 | 17 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Light Rail (Performance) | 9.52 | 6.69 | 6.41 | 17 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Light Rail (Target) | 13.66 | 13.66 | 13.08 | 17 | |
| Reportable accidents per 100000 man-hours for contractors in Hong Kong - Corporate Support Functions | 0.62 | 20 | |||
| Reportable accidents per 100000 man-hours for contractors in Hong Kong - Investment Property | 0.18 | 20 | |||
| Reportable accidents per 100000 man-hours for contractors in Hong Kong - Management Property | 0.11 | 20 | |||
| Reportable accidents per 100000 man-hours for contractors in Hong Kong - Operations Railway | 0.25 | 20 | |||
| Reportable accidents per 100000 man-hours for contractors in Hong Kong - Projects Construction – Railway Extension Projects | 0.26 | 20 | |||
| Reportable accidents per 100000 man-hours for contractors in Hong Kong - Property Development and Investment Projects | 0.18 | 20 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Lost Time Injuries per 100000 man-hours in Hong Kong - Corporate Support Functions | 0.2 | 20 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Operations Division | 0.65 | 20 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Projects Division | 0.1 | 20 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Property Division | 0.04 | 20 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of apprentice training schemes | 2 | 43 | |
| Number of graduate development programmes | 3 | 43 | |
| Number of graduates, apprentices, and technician associates trained | 139 | 43 | |
| Number of staff presented with Grand Awards for Outstanding Contribution | 11 | 43 | |
| Number of trainees who completed the SCL CCTS programme | 520 | 48 | |
| Number of trainees who received training under the SCL CCTS | 764 | 48 | |
| Self-learning videos hit rate | 13400 | 46 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total Staff Training in Hong Kong - Management Training | man day | 18474 | 15264 | 14671 | 45 |
| Total Staff Training in Hong Kong - Operation Training | man day | 103268 | 127587 | 109156 | 45 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Other Operating Costs - KCRC | HK$ Million | 3333 | 11 |
| Other Operating Costs - Suppliers & Business Partners | HK$ Million | 18549 | 11 |
| Percentage of Spending on Cleaning, Security & Clubhouse Services in Property Management | % | 35 | 48 |
| Percentage of Spending on General Goods & Services in Transport Operations | % | 28 | 48 |
| Percentage of Spending on Goods, Services & Spares in Transport Operations | % | 16 | 48 |
| Percentage of Spending on Other Goods & Services in Property Management | % | 13 | 48 |
| Percentage of Spending on Works & Maintenance Services in Property Management | % | 52 | 48 |
| Percentage of Spending on Works & Maintenance Services in Transport Operations | % | 56 | 48 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of product categories analysed in supplier segmentation | 100 | 48 | |
| Number of suppliers analysed in supplier segmentation | 2600 | 48 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Revenue from Hong Kong Property Rental and Management Businesses | HK$ Million | 5137 | 11 |
| Revenue from Hong Kong Station Commercial Businesses | HK$ Million | 6799 | 11 |
| Revenue from Hong Kong Transport Operations | HK$ Million | 19938 | 11 |
| Revenue from Mainland of China and International Subsidiaries | HK$ Million | 21085 | 11 |
| Revenue from Other Businesses | HK$ Million | 1833 | 11 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Interest & Finance Costs - Lenders | HK$ Million | 720 | 11 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Taipa Line, Macau - number of stations | stations | 11 | 50 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Community Investment (excludes fare concessions and in-kind donations) | HK$ Million | 21 | 11 |
| Maintenance, Renewal and Upgrade Expenditure on Existing Hong Kong Railway System | HK$ Million | 9845 | 11 |
| Profit from Hong Kong Property Development | HK$ Million | 5731 | 11 |
| Taxes - Governments | HK$ Million | 1384 | 11 |
| Taxes - HKSAR Government | HK$ Million | 5561 | 11 |
| Total Economic Value Distributed | HK$ Million | 56644 | 11 |
| Total Economic Value Generated | HK$ Million | 60523 | 11 |
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 | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes CO2e | 48924 | 44102 | 46134 |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 1257663 | 1262450 | 1332512 |
| Total GHG Emissions | tonnes CO2e | 1334293 | 1322169 | 1388811 |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 27806 | 15617 | 10165 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Diversion Rate of Hazardous Waste | percent | 31 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Plastic Waste | tonnes | |
| Recycling Rate of Non-Hazardous Waste | percent | 13 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2025 |
|---|---|---|
| Target GHG Emissions Reduction Percentage by 2030 Compared to 2018 | % | 50 |
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 | 2017 | 2018 | 2019 | 2023 |
|---|---|---|---|---|---|
| Energy Consumption Intensity (By Area per Year) | % | 12 | |||
| Grid Electricity Consumption | MWh | 2023667 | 2599.56 | 2013899 | |
| Percentage of Renewable Energy Consumption | percent | 61 | |||
| Purchased Electricity | MWh | 2023667 | 18.73 | 74.14 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2019 | 2023 | 2025 |
|---|---|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | 12 | ||
| Target Electricity Usage Reduction Percentage Compared to Last Year | % | 12 | ||
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 15 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees in Australia | employees | 5478 |
| Number of Employees in Europe | employees | 4222 |
| Number of Employees in Hong Kong | employees | 17742 |
| Number of Employees in Mainland China | employees | 1625 |
| Number of Employees in United Kingdom | employees | 1132 |
| Number of Full-time Employees | employees | 30199 |
| Number of Full-time Employees (Female) | employees | 3790 |
| Number of Full-time Employees (Male) | employees | 13952 |
| Number of Part-time Employees (Female) | employees | 1723 |
| Number of Part-time Employees (Male) | employees | 845 |
| Number of Total Employees | employees | 30199 |
| Percentage of Female Employees | % | 21 |
| Percentage of Full-time Employees | % | 94.3 |
| Percentage of Male Employees | % | 79 |
| Percentage of Part-time Employees | % | 5.7 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit |
|---|---|
| Turnover Rate of Employees in Australia | % |
| Turnover Rate of Employees in Europe | % |
| Turnover Rate of Employees in Hong Kong | % |
| Turnover Rate of Employees in Mainland China | % |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Time Injury Frequency Rate (Hong Kong) | per 100000 man-hours | 0.99 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Hong Kong Employees) | days |
| Average Training Hours per Employee | days |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Proportion of Spending on Local Suppliers | % | 35 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | 2600 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Social Investment | HK$ Million | 21 |