Sustainability Report 2020
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Carbon emissions saved by Carbon Footprint Challenge campaign | tonnes CO2 | 4940 | 44 | ||
| Scope 1 Emissions - Corporate Support Functions and Main Office Buildings | tCO2e | 5290 | 7571 | 43 | |
| Scope 1 Emissions - Network Expansion | tCO2e | 3844 | 3374 | 43 | |
| Scope 1 Emissions - Properties and Other Business | tCO2e | 123 | 126 | 43 | |
| Scope 1 Emissions - Transport Operations | tCO2e | 36876 | 29878 | 43 | |
| Scope 1 GHG Emissions in Hong Kong | tonnes CO2e | 44102 | 46134 | 40949 | 43 |
| Scope 2 Emissions - Corporate Support Functions and Main Office Buildings | tCO2e | 226390 | 167097 | 43 | |
| Scope 2 Emissions - Network Expansion | tCO2e | 13928 | 10163 | 43 | |
| Scope 2 Emissions - Properties and Other Business | tCO2e | 1070 | 750 | 43 | |
| Scope 2 Emissions - Transport Operations | tCO2e | 1091724 | 798564 | 43 | |
| Scope 2 GHG Emissions in Hong Kong | tonnes CO2e | 1262450 | 1332512 | 976574 | 43 |
| Scope 3 Emissions - Corporate Support Functions and Main Office Buildings | tCO2e | 869 | 397 | 43 | |
| Scope 3 Emissions - Network Expansion | tCO2e | 2228 | 512 | 43 | |
| Scope 3 Emissions - Properties and Other Business | tCO2e | 623 | 649 | 43 | |
| Scope 3 Emissions - Transport Operations | tCO2e | 6444 | 5732 | 43 | |
| Scope 3 GHG Emissions in Hong Kong | tonnes CO2e | 15617 | 10615 | 7290 | 43 |
| Total GHG Emissions in Hong Kong | tonnes CO2e | 1324169 | 1389261 | 1024813 | 43 |
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 | 2025 | Report Pages |
|---|---|---|---|---|---|---|---|
| Capacity of solar PV system at MTR Headquarters | kW | 93.24 | 47 | ||||
| Electricity Consumption in Hong Kong - Properties | MWh | 387909 | 400824 | 376220 | 44 | ||
| Electricity Consumption in Hong Kong - Railway Operations - Heavy Rail | MWh | 1580443 | 1559734 | 1484030 | 44 | ||
| Electricity Consumption in Hong Kong - Railway Operations - Light Rail and Bus | MWh | 55099 | 53341 | 50461 | 44 | ||
| Electricity Consumption in Hong Kong - Railway Operations - Total | MWh | 1635542 | 1613073 | 1534491 | 44 | ||
| Electricity Consumption in Hong Kong - Total | MWh | 2023451 | 2013899 | 1910711 | 44 | ||
| Electricity Consumption of Heavy Rail Operations - Australia - Metropolitan Rail Service | GWh | 468.78 | 445.75 | 44 | |||
| Electricity Consumption of Heavy Rail Operations - Australia - Sydney Metro North West Line | GWh | 87.74 | 44 | ||||
| Electricity Consumption of Heavy Rail Operations - Hong Kong Operating Network | GWh | 1559.73 | 1484.03 | 44 | |||
| Electricity Consumption of Heavy Rail Operations - Mainland of China - Shenzhen Metro Line 4 | GWh | 98.29 | 101.66 | 44 | |||
| Electricity Consumption of Heavy Rail Operations - Sweden - MTRX | GWh | 19.24 | 14.56 | 44 | |||
| Electricity Consumption of Heavy Rail Operations - Sweden - Stockholm Metro | GWh | 165.77 | 168.53 | 44 | |||
| Electricity Consumption of Heavy Rail Operations - Sweden - Stockholm Pendeltåg | GWh | 194.94 | 201.29 | 44 | |||
| Electricity Consumption of Heavy Rail Operations - Total | GWh | 2580.89 | 2615.69 | 44 | |||
| Electricity Consumption of Heavy Rail Operations - United Kingdom - TfL Rail/Elizabeth line | GWh | 74.14 | 112.13 | 44 | |||
| Electricity consumed per passenger-kilometre in heavy rail network (compared with 2008 level) | percent | -21% | 42 | ||||
| Electricity consumption in heavy rail network compared to 2018 | percent | -6.1 | 45 | ||||
| Electricity consumption per passenger-kilometre increase compared with base year | percent | 21.2 | 45 | ||||
| Electricity consumption per passenger-kilometre reduction in heavy rail network (2017) | percent | 15.1 | 45 | ||||
| Electricity consumption per passenger-kilometre reduction in heavy rail network (2018) | percent | 17 | 45 | ||||
| Electricity consumption worldwide (MTR) | GWh | 3000 | 44 | ||||
| New LRVs commenced service on 17 November 2020 | LRVs | 2 | 35 | ||||
| New LRVs delivered to Hong Kong as of December 2020 | LRVs | 10 | 35 | ||||
| New heavy rail 8-car trains delivered to Hong Kong as of December 2020 | trains | 11 | 35 | ||||
| Percentage of Hong Kong operations in total electricity consumption | % | 80 | 44 | ||||
| Percentage of property division in total electricity consumption | % | 20 | 44 | ||||
| Reduction of electricity consumption in Hong Kong investment property portfolio compared with 2013 as baseline | percent | 15 | 46 | ||||
| Reduction of energy used in investment property portfolio compared to target | percent | 12 | 46 | ||||
| Solar PV panels installed at MTR Headquarters | panels | 296 | 47 | ||||
| Target reduction of total energy consumption in MTR Nordic by 2025 | % | 15 | 47 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2023 | Report Pages |
|---|---|---|---|---|
| Chillers replaced at stations and depots (up to 2020) | chillers | 92 | 45 | |
| Electricity consumption reduction in Hong Kong heavy rail network in 2020 compared to 2018 | % | -6.1 | 39 | |
| Energy consumption reduction in MTR Nordic compared to 2018 baseline | % | 6 | 47 | |
| Energy use in investment property portfolio (compared with 2013 as the base year) | percent | -12% | 42 | |
| Fluorescent light tubes at Headquarters replaced by LED lights | tubes | 10000 | 47 | |
| Fluorescent light tubes at Headquarters replaced by LED lights (percentage) | % | 20 | 47 | |
| Proportion of chiller replacement works completed (up to 2020) | percent | 60 | 45 | |
| Traditional downlights in Kowloon Bay Depot canteen replaced by LED lights | downlights | 400 | 47 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|---|
| BEAM Plus Gold (Final Assessment) accreditation for Austin Station Residential Development (The Austin and Grand Austin) | accreditation | 1 | 46 | |||
| BEAM Plus Gold (Final Assessment) accreditation for Long Ping Station (North) Residential Development (The Spectra) | accreditation | 1 | 46 | |||
| BEAM Plus Gold (Final Assessment) accreditation for Nam Cheong Station (Residential) (Cullinan West, Cullinan West II, and Cullinan West III) | accreditation | 1 | 46 | |||
| BEAM Plus Gold (Final Assessment) accreditation for Tsuen Wan West Station (Cityside) Residential Development (PARC CITY) | accreditation | 1 | 46 | |||
| BEAM Plus Gold (Final Assessment) accreditation for Tsuen Wan West Station (Tsuen Wan 6) Residential Development (THE PAVILIA BAY) | accreditation | 1 | 46 | |||
| Hong Kong Business Sustainability Index (HKBSI) - MTR ranking | 5 | 19 | ||||
| Solar panels installed at MTR Headquarters Building | panels | 296 | 39 | |||
| Total BEAM Plus Gold accreditations for investment property portfolio up to 2020 | accreditations | 5 | 46 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| CDP Climate Change Assessment - Asia average score | B | 19 | |
| CDP Climate Change Assessment - MTR score | B | 19 | |
| Greater Bay Area Business Sustainability Index (GBABSI) - MTR ranking | 3 | 19 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | past two financial years | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Average number of passenger journeys carried by MTR railway networks worldwide every weekday | million | 8.2 | 19 | ||||||
| Economic Value Retained from Prior Years and Reinvested in 2020 | HK$ million | 3923 | 23 | ||||||
| Fixed & Variable Annual Payments (KCRC) | HK$ million | 988 | 23 | ||||||
| Full-time employees in Hong Kong | employees | 17288 | 51 | ||||||
| Full-time employees in London | employees | 4414 | 51 | ||||||
| Full-time employees in Melbourne | employees | 205 | 51 | ||||||
| Full-time employees in Shenzhen | employees | 5584 | 51 | ||||||
| Full-time employees in Stockholm | employees | 1171 | 51 | ||||||
| Full-time employees in Sydney | employees | 1938 | 51 | ||||||
| Full-time female employees in Hong Kong with continuous contracts | percent | 85.5% | 51 | ||||||
| Full-time female employees in Hong Kong with renewable contracts | percent | 14.3% | 51 | ||||||
| Full-time female employees in Hong Kong with temporary contracts | percent | 0.2% | 51 | ||||||
| Full-time male employees in Hong Kong with continuous contracts | percent | 86.8% | 51 | ||||||
| Full-time male employees in Hong Kong with renewable contracts | percent | 12.9% | 51 | ||||||
| Full-time male employees in Hong Kong with temporary contracts | percent | 0.3% | 51 | ||||||
| Gender distribution of full-time employees in Hong Kong, Female | percent | 21% | 51 | ||||||
| Gender distribution of full-time employees in Hong Kong, Male | percent | 79% | 51 | ||||||
| Gender distribution of full-time employees in London, Female | percent | 23% | 51 | ||||||
| Gender distribution of full-time employees in London, Male | percent | 77% | 51 | ||||||
| Gender distribution of full-time employees in Melbourne, Female | percent | 25% | 51 | ||||||
| Gender distribution of full-time employees in Melbourne, Male | percent | 75% | 51 | ||||||
| Gender distribution of full-time employees in Shenzhen, Female | percent | 23% | 51 | ||||||
| Gender distribution of full-time employees in Shenzhen, Male | percent | 77% | 51 | ||||||
| Gender distribution of full-time employees in Stockholm, Female | percent | 29% | 51 | ||||||
| Gender distribution of full-time employees in Stockholm, Male | percent | 71% | 51 | ||||||
| Gender distribution of full-time employees in Sydney, Female | percent | 34% | 51 | ||||||
| Gender distribution of full-time employees in Sydney, Male | percent | 66% | 51 | ||||||
| Metro Trains Melbourne engineering, project management, and IT teams female representation | % | 22–36 | 52 | ||||||
| Number of Joint Consultative Committees (JCCs) | committees | 45 | 53 | ||||||
| Number of colleagues recognised for Long Service Awards | colleagues | 1147 | 53 | ||||||
| Number of employees | 50000 | 4 | |||||||
| Number of managers attended Management Communication Meeting (MCM) | managers | 2200 | 53 | ||||||
| Number of staff representatives in Joint Consultative Committees (JCCs) | representatives | 1000 | 53 | ||||||
| Ordinary Dividends (HKSAR Government) | HK$ million | 5700 | 23 | ||||||
| Ordinary Dividends (Other Shareholders) | HK$ million | 1881 | 23 | ||||||
| Persons with Disabilities Employed in Hong Kong | % | 1.6 | 1.7 | 2 | 2.4 | 2.7 | 3.4 | 52 | |
| Staff Costs (Employees) | HK$ million | 15138 | 23 | ||||||
| Total female workforce in Hong Kong, full time | percent | 72% | 51 | ||||||
| Total female workforce in Hong Kong, part time | percent | 28% | 51 | ||||||
| Total full-time employees | employees | 30567 | 51 | ||||||
| Total male workforce in Hong Kong, full time | percent | 96% | 51 | ||||||
| Total male workforce in Hong Kong, part time | percent | 4% | 51 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Voluntary turnover rate - Hong Kong | % | 3.4 | 55 |
| Voluntary turnover rate - MTRX | % | 9.7 | 55 |
| Voluntary turnover rate - Melbourne's Metropolitan Rail Services | % | 4.1 | 55 |
| Voluntary turnover rate - Shenzhen Metro Line 4 | % | 74 | 55 |
| Voluntary turnover rate - Stockholm Metro | % | 4.1 | 55 |
| Voluntary turnover rate - Stockholms Pendeltåg | % | 3.2 | 55 |
| Voluntary turnover rate - Sydney Metro North West Line | % | 8.4 | 55 |
| Voluntary turnover rate - TfL Rail/Elizabeth line | % | 3.3 | 55 |
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 |
|---|---|---|---|---|---|
| Customer and public safety – Fatalities in Hong Kong - Heavy Rail | 1 | 28 | |||
| Customer and public safety – Fatalities in Hong Kong - Light Rail | 1 | 28 | |||
| Number of customer and public injuries requiring hospitalisation in Hong Kong - Bus | 1 | 6 | 2 | 28 | |
| Number of customer and public injuries requiring hospitalisation in Hong Kong - Heavy Rail | 83 | 62 | 29 | 28 | |
| Number of customer and public injuries requiring hospitalisation in Hong Kong - Light Rail | 12 | 10 | 2 | 28 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Bus (Performance) | 1.57 | 9.52 | 3.99 | 28 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Bus (Target) | 6.88 | 6.88 | 6.85 | 28 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Heavy Rail (Performance) | 4.6 | 3.67 | 2.51 | 28 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Heavy Rail (Target) | 9.26 | 8.56 | 7.6 | 28 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Light Rail (Performance) | 6.69 | 6.41 | 1.79 | 28 | |
| Number of injuries requiring hospitalisation per 100 million passenger journeys in Hong Kong - Light Rail (Target) | 13.66 | 13.08 | 11.67 | 28 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Corporate Support Functions | 0.74 | 0.62 | 0.32 | 31 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Investment Property | 0.03 | 0.18 | 0.21 | 31 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Management Property | 0.11 | 0.18 | 0.19 | 31 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Operations Railway | 0.26 | 0.25 | 0.24 | 31 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Projects Construction – Network Improvement Projects | 0.06 | 31 | |||
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Projects Construction – Railway Extension Projects | 0.23 | 0.26 | 0.49 | 31 | |
| Lost Time Injuries per 100000 man-hours for Contractors in Hong Kong - Property Development and Investment Projects | 0.02 | 0.05 | 0.03 | 31 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Corporate Support Functions | 0.16 | 0.2 | 0.04 | 30 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Operations Division | 0.38 | 0.65 | 0.43 | 30 | |
| Lost Time Injuries per 100000 man-hours in Hong Kong - Projects Division | 0.16 | 0.04 | 30 | ||
| Lost Time Injuries per 100000 man-hours in Hong Kong - Property Division | 0.04 | 0.16 | 30 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of work improvement projects submitted by Work Improvement Team (WIT) | projects | 1000 | 53 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of colleagues attended SOC webinars | colleagues | 500 | 53 |
| Number of colleagues attended team-building workshops at High Speed Rail and Intercity operations | colleagues | 240 | 53 |
| Number of trainees who completed SCL Contractors Cooperative Training Scheme | trainees | 520 | 66 |
| Number of trainees who underwent SCL Contractors Cooperative Training Scheme | trainees | 764 | 66 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total Staff Training in Hong Kong - Management training | man day | 15264 | 14671 | 7674 | 54 |
| Total Staff Training in Hong Kong - Operation Training | man day | 127587 | 109156 | 74195 | 54 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Other Operating Costs (Suppliers & Business Partners) | HK$ million | 16905 | 23 |
| Percentage of spending on Cleaning, Security & Clubhouse Services (Property Management) | % | 30 | 65 |
| Percentage of spending on General Goods & Services (Transport Operations) | % | 22 | 65 |
| Percentage of spending on Goods, Services & Spares (Transport Operations) | % | 12 | 65 |
| Percentage of spending on Other Goods & Services (Property Management) | % | 28 | 65 |
| Percentage of spending on Works & Maintenance Services (Property Management) | % | 42 | 65 |
| Percentage of spending on Works & Maintenance Services (Transport Operations) | % | 66 | 65 |
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 |
|---|---|---|---|
| Green bond issuance (largest single-tranche green bond for corporates in Asia-Pacific) | USD | 1200000000 | 5 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Face mask production capacity at Siu Ho Wan Depot | masks per month | 300000 | 9 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Revenue from Hong Kong Property Rental and Management Businesses | HK$ million | 5054 | 23 |
| Revenue from Hong Kong Station Commercial Businesses | HK$ million | 3269 | 23 |
| Revenue from Hong Kong Transport Operations | HK$ million | 11896 | 23 |
| Revenue from Mainland of China and International Subsidiaries | HK$ million | 21428 | 23 |
| Revenue from Other Businesses | HK$ million | 1499 | 23 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| ASTM Level 2 protection laboratory tests for MTR face masks | passed | 9 | |
| ISO 14644-1 Class 8 sterilisation certification for face mask production cleanroom | certified | 9 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of SOC webinars broadcast | webinars | 6 | 53 |
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 | 2020 | Report Pages |
|---|---|---|---|
| Interest & Finance Costs (Lenders) | HK$ million | 701 | 23 |
| Whistle-blowing Panel cases evaluated | cases | 256 | 20 |
| Whistle-blowing Panel cases not meeting definition of whistle-blowing | cases | 215 | 20 |
| Whistle-blowing cases completed investigations | cases | 32 | 20 |
| Whistle-blowing cases partially substantiated | cases | 4 | 20 |
| Whistle-blowing cases substantiated | cases | 2 | 20 |
| Whistle-blowing cases under investigation as of 31 December 2020 | cases | 9 | 20 |
| Whistle-blowing cases unsubstantiated | cases | 26 | 20 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| ISS ESG Corporate Rating - MTR status | Prime Status | 19 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Total staff anti-corruption training hours | hours | 260 | 20 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Donation of surgical masks | masks | 100000 | 4 |
| Donation to Victorian Bushfire Relief Appeal by Metro Trains Melbourne | AUD | 220000 | 58 |
| Donation to Victorian Bushfire Relief Appeal by Metro Trains Melbourne (HKD equivalent) | HKD | 1310000 | 58 |
| Donation to non-governmental and charity organisations | million HKD | 4.3 | 4 |
| Investment in community programmes by the Corporation | million HKD | 22 | 58 |
| MSCI ESG Ratings - MTR rating | AAA | 19 | |
| Number of Certificates of Merit for Outstanding Contribution | certificates | 12 | 53 |
| Number of Grand Awards for Outstanding Contribution | awards | 7 | 53 |
| Number of MTR School Talk Programme talks conducted | talks | 13 | 58 |
| Number of Special Recognition projects for Outstanding Contribution | projects | 4 | 53 |
| Number of children selected for Corporation Scholarship Scheme | 88 | 55 | |
| Number of nominations for MTR Grand Awards for Outstanding Contribution | nominations | 50 | 53 |
| Number of students reached by MTR School Talk Programme | students | 2700 | 58 |
| Number of team-building workshops at High Speed Rail and Intercity operations | workshops | 11 | 53 |
| Registered users in Carbon Footprint Challenge campaign | 53000 | 44 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Community grants for bushfire response and recovery by Metro Trains Melbourne | AUD | 10000 | 58 |
| Community grants for bushfire response and recovery by Metro Trains Melbourne (HKD equivalent) | HKD | 59000 | 58 |
| Maintenance, Renewal and Upgrade Expenditure on Existing Hong Kong Railway System | HK$ million | 10985 | 23 |
| Number of volunteering projects by Hong Kong employees | projects | 64 | 58 |
| Profit from Hong Kong Property Development | HK$ million | 6509 | 23 |
| Sustainable Finance Framework bond issuance | billion USD | 1.2 | 4 |
| Taxes (Governments) | HK$ million | 1258 | 23 |
| Value of in-kind donations by the Corporation | million HKD | 20 | 58 |
| Volunteer hours contributed by Hong Kong employees | hours | 6344 | 58 |
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) | tonnes CO2e | 44102 | 46134 | 40949 |
| Indirect Energy Emissions (Scope 2) | tonnes CO2e | 1262450 | 1332512 | 976574 |
| Total GHG Emissions | tonnes CO2e | 1324169 | 1389261 | 1024813 |
| Total Other Indirect Energy Emissions (Scope 3) | tonnes CO2e | 15617 | 10615 | 7290 |
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 |
|---|---|---|---|---|
| Percentage of Renewable Energy Consumption | percent | 100 | ||
| Purchased Electricity | GWh | 387909 | 400824 | 3000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % | -6.1 |
| Energy Consumption Reduction Percentage Compared to Last Year | % | 6 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit |
|---|---|
| Total Investment in Ecological Restoration | HKD |
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 Australia | employees | 2143 |
| Number of Employees in Europe | employees | 1171 |
| Number of Employees in Hong Kong | employees | 17288 |
| Number of Employees in Mainland China | employees | 5584 |
| Number of Employees in Melbourne | employees | 205 |
| Number of Employees in Stockholm | employees | 1171 |
| Number of Employees in Sydney | employees | 1938 |
| Number of Employees in United Kingdom | employees | 4414 |
| Number of Female Employees | employees | 6419.07 |
| Number of Full-time Employees | employees | 30567 |
| Number of Full-time Employees (Female) | employees | 6419.07 |
| Number of Full-time Employees (Male) | employees | 24147.93 |
| Number of Male Employees | employees | 24147.93 |
| Number of Total Employees | employees | 50000 |
| Percentage of Employees in Australia | percent | 4.286 |
| Percentage of Employees in Europe | percent | 2.342 |
| Percentage of Employees in Hong Kong | percent | 34.576 |
| Percentage of Employees in Mainland China | percent | 11.168 |
| Percentage of Employees in Melbourne | percent | 0.41 |
| Percentage of Employees in Stockholm | percent | 2.342 |
| Percentage of Employees in Sydney | percent | 3.876 |
| Percentage of Employees in United Kingdom | percent | 8.828 |
| Percentage of Female Employees | percent | 21 |
| Percentage of Full-time Employees | percent | 61.134 |
| Percentage of Full-time Employees (Female) | percent | 21 |
| Percentage of Full-time Employees (Male) | percent | 79 |
| Percentage of Male Employees | percent | 79 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Employees in Australia | % | 4.1 |
| Turnover Rate of Employees in Hong Kong | % | 3.4 |
| Turnover Rate of Employees in Mainland China | % | 74 |
| Turnover Rate of Employees in Sweden | % | 3.2 |
| Turnover Rate of Employees in Sydney | % | 8.4 |
| Turnover Rate of Employees in United Kingdom | % | 3.3 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Lost Time Injury Frequency Rate (Contractor) | per 100000 man-hours | 1.4500000000000002 | 1.54 | 1.48 |
| Lost Time Injury Frequency Rate (Employees) | per 100000 man-hours | 0.54 | 1.05 | 0.67 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Percentage of Employees Trained | percent | 65.99 |
| Percentage of New Employees Trained | percent | 68.09 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit |
|---|---|
| Average Training Hours (Hong Kong Employees) | hours |
| Average Training Hours per Employee | hours |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Proportion of Spending on Local Suppliers | % | 30 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | suppliers |
Description of quality assurance process and recall procedures.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Passing Rate of Third-party Accreditation Performed under the Quality Management System | percent | 100 |
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.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Confirmed Incidents of Corruption | cases | 2 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Total Hours of Anti-corruption Training | hours | 260 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Donations to Disaster Relief Contributions to Public Welfare | HKD | 10000 |
| Number of Volunteer Activities Sessions | projects | 64 |
| Total In-kind Donations | million HKD | 20 |
| Total Social Investment | HK$ million | 22 |
| Total Volunteer Service Hours | hours | 6344 |