2022 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Emissions from stationary fuel combustion | metric tonnes CO2e, metric tonnes of CO2e | 5282 | 5237 | 4972 | 26, 78 |
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 | 2020 | 2021 | 2022 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Biogenic emissions | metric tonnes CO2e, metric tonnes of CO2e | 150 | 264 | 212 | 26, 78 | |
| Emissions from mobile fuel combustion | metric tonnes CO2e, metric tonnes of CO2e | 5965 | 5095 | 7467 | 26, 78 | |
| Fugitive emissions from refrigerants | metric tonnes CO2e, metric tonnes of CO2e | 5095 | 4510 | 4713 | 26, 78 | |
| Scope 1 and 2 GHG emissions intensity reduction | tCO2e/m² | 5 | 22 | |||
| Scope 1 and 2 GHG emissions intensity reduction (tCO2e/m2) | reduction | 0.22 | 112 | |||
| Scope 1 emissions | metric tonnes CO2e, metric tonnes of CO2e | 16331 | 14842 | 17152 | 26, 78 | |
| Scope 2 emissions (location-based) | metric tonnes CO2e, metric tonnes of CO2e | 207018 | 212111 | 210353 | 26, 78 | |
| Scope 2 emissions (market-based) | metric tonnes CO2e, metric tonnes of CO2e | 665 | 280 | 112 | 26, 78 | |
| Scope 3 GHG Emissions - Category 13: Downstream leased assets | metric tonnes of CO2e | 31175 | 27 | |||
| Scope 3 GHG Emissions - Category 1: Purchased goods and services | metric tonnes of CO2e | 81164 | 27 | |||
| Scope 3 GHG Emissions - Category 2: Capital goods | metric tonnes of CO2e | 200438 | 27 | |||
| Scope 3 GHG Emissions - Category 3: Fuel and energy-related activity (FERA) | metric tonnes of CO2e | 56034 | 27 | |||
| Scope 3 GHG Emissions - Category 4: Upstream transportation | metric tonnes of CO2e | 414 | 27 | |||
| Scope 3 GHG Emissions - Category 5: Waste | metric tonnes of CO2e | 1181 | 27 | |||
| Scope 3 GHG Emissions - Category 6: Business travel | metric tonnes of CO2e | 612 | 27 | |||
| Scope 3 GHG Emissions - Category 7: Employee travel | metric tonnes of CO2e | 6412 | 27 | |||
| Scope 3 GHG Emissions - Category 8: Upstream leased assets | metric tonnes of CO2e | 195 | 27 | |||
| Scope 3 GHG Emissions - Total Scope 3 emission intensity by floor area | metric tonnes of CO2e/m2 | 0.27 | 27 | |||
| Scope 3 GHG Emissions - Total Scope 3 emissions | metric tonnes of CO2e | 377625 | 27 | |||
| Scope 3 emissions, Category 13: Downstream leased assets | metric tonnes CO2e | 30579 | 32697 | 31175 | 79 | |
| Scope 3 emissions, Category 1: Purchased goods and services | metric tonnes CO2e | 81164 | 79 | |||
| Scope 3 emissions, Category 2: Capital goods | metric tonnes CO2e | 200438 | 79 | |||
| Scope 3 emissions, Category 3: Fuel and energy-related activity (FERA) | metric tonnes CO2e | 35588 | 56882 | 56034 | 79 | |
| Scope 3 emissions, Category 4: Upstream transportation | metric tonnes CO2e | 414 | 79 | |||
| Scope 3 emissions, Category 6: Business travel | metric tonnes CO2e | 612 | 79 | |||
| Scope 3 emissions, Category 7: Employee commuting | metric tonnes CO2e | 6412 | 79 | |||
| Scope 3 emissions, Category 8: Upstream leased assets | metric tonnes CO2e | 195 | 79 | |||
| Total Scope 1 and 2 emission (market-based) intensity by floor area | metric tonnes of CO2e/m2, metric tonnes of CO2e/m² | 0.01 | 0.01 | 0.01 | 26, 78 | |
| Total Scope 1 and 2 emissions (location-based) | metric tonnes CO2e | 223499 | 227217 | 227929 | 78 | |
| Total Scope 1 and 2 emissions (market-based) | metric tonnes CO2e, metric tonnes of CO2e | 16996 | 15123 | 17264 | 26, 78 | |
| Total Scope 3 emission intensity by floor area | metric tonnes of CO2e/m2 | 0.27 | 79 | |||
| Total Scope 3 emissions | metric tonnes CO2e | 66167 | 89579 | 377625 | 79 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Hazardous waste - Batteries | metric tonnes | 10 | 81 | ||
| Hazardous waste - Contaminated containers | metric tonnes | 2 | 81 | ||
| Hazardous waste - E-waste | metric tonnes | 17 | 81 | ||
| Hazardous waste - Ink toners | metric tonnes | 0.35 | 81 | ||
| Hazardous waste - Light fixtures | metric tonnes | 0.07 | 81 | ||
| Hazardous waste by intensity | metric tonnes/m³ | 0.00008 | 0.00002 | 81 | |
| Material diversion - Batteries | % | 0.96% | 31 | ||
| Material diversion - Metal | % | 6.37% | 31 | ||
| Material diversion - Others (e.g. e-waste, ink toners, light fixtures, coffee capsules) | % | 4.45% | 31 | ||
| Material diversion - Plastic | % | 8.05% | 31 | ||
| Material diversion - Used cooking oil | % | 7.37% | 31 | ||
| Recycling - Batteries | metric tonnes | 0.96 | 1.58 | 9.62 | 80 |
| Recycling - Others (e.g. e-waste, ink toners, light fixtures and coffee capsules) | metric tonnes | 54.35 | 122.87 | 44.36 | 80 |
| Scope 3 emissions, Category 5: Waste | metric tonnes CO2e | 1181 | 79 | ||
| Total hazardous waste | metric tonnes | 110 | 30 | 81 | |
| Total waste | metric tonnes | 9695 | 7680 | 81 | |
| Total waste generated | metric tonnes | 7926 | 8787 | 6683 | 30, 80 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Composting (material diversion) | metric tonnes | 36 | 192 | 262 | 30 |
| Composting (total materials diverted) | metric tonnes | 36 | 192 | 262 | 80 |
| Composting - Food waste | metric tonnes | 36.24 | 191.93 | 262.06 | 80 |
| Incineration | metric tonnes | 6786 | 7624 | 5657 | 80 |
| Incineration (waste generation) | metric tonnes | 6786 | 7624 | 5657 | 30 |
| Landfill | metric tonnes | 1140 | 1163 | 1026 | 80 |
| Landfill (waste generation) | metric tonnes | 1140 | 1163 | 1026 | 30 |
| Material diversion - Food waste | % | 26.28% | 31 | ||
| Material diversion - Glass bottles | % | 15.25% | 31 | ||
| Material diversion - Paper | % | 31.10% | 31 | ||
| Material diversion - Soap | % | 0.16% | 31 | ||
| Materials diverted and waste generation intensity | metric tonnes/m² | 0.01 | 0.01 | 0.01 | 80 |
| Non-hazardous waste by intensity | metric tonnes/m³ | 0.007 | 0.005 | 81 | |
| Recycling (material diversion) | metric tonnes | 313 | 720 | 735 | 30 |
| Recycling (total materials diverted) | metric tonnes | 313 | 720 | 735 | 80 |
| Recycling - Glass bottles | metric tonnes | 12.43 | 66.33 | 152.08 | 80 |
| Recycling - Metal | metric tonnes | 23.79 | 42.26 | 63.49 | 80 |
| Recycling - Paper | metric tonnes | 210.2 | 326.3 | 310.13 | 80 |
| Recycling - Plastic | metric tonnes | 4.04 | 102.08 | 80.29 | 80 |
| Recycling - Soap | metric tonnes | 1.85 | 3.21 | 1.56 | 80 |
| Recycling - Used cooking oil | metric tonnes | 9.89 | 55.01 | 73.52 | 80 |
| Single-use plastic (SUP) bottles eliminated at City of Dreams Manila and Macau properties | million bottles | 1.4 | 29 | ||
| Single-use plastic (SUP) bottles eliminated at Studio City Towers, NÜWA Macau, Altira Macau and City of Dreams Manila | million bottles | 4.2 | 29 | ||
| Total materials diverted | metric tonnes | 349 | 912 | 997 | 30, 80 |
| Total materials diverted and waste generated | metric tonnes | 8275 | 9699 | 7680 | 30, 80 |
| Total non-hazardous waste | metric tonnes | 9585 | 7650 | 81 | |
| Waste generation intensity | metric tonnes/m² | 0.01 | 0.01 | 0.01 | 30 |
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 | 2030 | Report Pages |
|---|---|---|---|
| Ambition for diverting useful materials from disposal against 2019 baseline | % | 24 | 28 |
| Ambition for intensity reduction in non-hazardous waste generation (tonnes/m2) against 2019 baseline | % | 24 | 28 |
| Diverting useful materials from disposal against 2019 baseline | % | 5 | 28 |
| Intensity reduction in non-hazardous waste generation (tonnes/m2) against 2019 baseline | % | 5 | 28 |
| Non-hazardous waste generation intensity reduction (tonnes/m2) | reduction | 0.24 | 112 |
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 | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption from non-renewable sources | MWh | 326937 | 334380 | 330337 | 25, 80 |
| Electricity consumption from renewable sources | MWh | 1555 | 1478 | 1525 | 25, 80 |
| Energy intensity | MWh/m² | 0.27 | 0.27 | 0.28 | 80 |
| Energy intensity (in MWh/m²) | MWh/m² | 0.27 | 0.27 | 0.28 | 25 |
| Fuel consumption from non-renewable sources | MWh | 51911 | 47770 | 58416 | 25, 80 |
| Total energy consumption | MWh | 380403 | 383628 | 390278 | 25, 80 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Municipal water | m³ | 2129685 | 2119732 | 2104523 | 81 |
| Municipal water consumption | m³ | 2129685 | 2119732 | 2104523 | 33 |
| Recycled water | m³ | 63120 | 147549 | 217714 | 81 |
| Recycled water consumption | m³ | 63120 | 147549 | 217714 | 33 |
| Total water consumption | m³ | 2192806 | 2267281 | 2322237 | 33, 81 |
| Water intensity by floor area | m³/m² | 1.56 | 1.6 | 1.65 | 33, 81 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | 2021 | 2022 | 2030 | Report Pages |
|---|---|---|---|---|---|---|
| Calculated kWh savings, Altira Macau | kWh | 4890185 | 5428746 | 5964319 | 79 | |
| Calculated kWh savings, City of Dreams Macau | kWh | 14482900 | 19569473 | 21758934 | 79 | |
| Calculated kWh savings, City of Dreams Manila | kWh | 2166354 | 2340704 | 2492435 | 79 | |
| Calculated kWh savings, Studio City | kWh | 9634885 | 16300899 | 21116985 | 79 | |
| Fuel and electricity consumption intensity reduction | kWh/m² | 3 | 22 | |||
| Fuel and electricity consumption intensity reduction (kWh/m2) | reduction | 0.22–0.28 | 112 | |||
| Total calculated kWh savings | kWh | 31174324 | 43629282 | 51332673 | 79 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2022 | 2030 | Report Pages |
|---|---|---|---|---|
| Annualised water savings from water efficiency measures at Macau and Manila properties | m³ | over 463600 | 33 | |
| Intensity reduction in water consumption (m3/m2) | % | 19 | 28 | |
| Water consumption intensity reduction (m3/m2) | reduction | 0.19 | 112 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| % of Employees in Corporate and Centralised Services (Including Hong Kong, Singapore, Macau and Japan) | 3% | 4% | 3% | 73 | |
| % of Employees in Cyprus Property | 4% | 4% | 6% | 73 | |
| % of Employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 70% | 71% | 69% | 73 | |
| % of Employees in Manila Property | 23% | 21% | 22% | 73 | |
| Board Members by Age - Between the age of 30 and 50 | % | 35% | 30% | 29% | 77 |
| Board Members by Age - Over 50 years of age | % | 65% | 70% | 71% | 77 |
| Board Members by Age - Under 30 years of age | % | 0% | 0% | 0% | 77 |
| Board Members by Gender - Female | % | 25% | 24% | 24% | 77 |
| Board Members by Gender - Male | % | 75% | 76% | 76% | 77 |
| Change in workforce | % | 6 | 91 | ||
| Corporate Executive Committees by Age - Between the age of 30 and 50 | % | 47% | 44% | 38% | 77 |
| Corporate Executive Committees by Age - Over 50 years of age | % | 53% | 56% | 63% | 77 |
| Corporate Executive Committees by Age - Under 30 years of age | % | 0% | 0% | 0% | 77 |
| Corporate Executive Committees by Gender - Female | % | 18% | 19% | 19% | 77 |
| Corporate Executive Committees by Gender - Male | % | 82% | 81% | 81% | 77 |
| Interns participating in DSAL-organised internship programme for local students with special needs | 119 | 40 | |||
| Interns placed in permanent positions from DSAL-organised internship programme for local students with special needs | 53 | 40 | |||
| Management by Age - Between the age of 30 and 50 | % | 82% | 81% | 80% | 77 |
| Management by Age - Over 50 years of age | % | 17% | 19% | 20% | 77 |
| Management by Age - Under 30 years of age | % | 1% | 1% | 1% | 77 |
| Management by Gender - Female | % | 41% | 40% | 41% | 77 |
| Management by Gender - Male | % | 59% | 60% | 59% | 77 |
| New Hires by Gender - Female | number, rate | 3.08% | 3.31% | 535 | 75 |
| New Hires by Gender - Male | number, rate | 317 | 500 | 652 | 75 |
| New Hires by Location - Cyprus | number, rate | 327 | 75 | ||
| New Hires by Location - Hong Kong | number, rate | 15.86% | 13.53% | 14.59% | 75 |
| New Hires by Location - Macau | number, rate | 386 | 505 | 479 | 75 |
| New Hires by Location - Manila | number, rate | 2.72% | 50 | 351 | 75 |
| New Hires by Location - Other locations | number, rate | 7.72% | 25.47% | 60.00% | 75 |
| New Hires by Location - Singapore | number, rate | 1 | 75 | ||
| Non-management by Age - Between the age of 30 and 50 | % | 60% | 64% | 67% | 77 |
| Non-management by Age - Over 50 years of age | % | 17% | 18% | 18% | 77 |
| Non-management by Age - Under 30 years of age | % | 23% | 18% | 15% | 77 |
| Non-management by Gender - Female | % | 49% | 49% | 49% | 77 |
| Non-management by Gender - Male | % | 51% | 51% | 51% | 77 |
| Number of employees | 17897 | 16911 | 91 | ||
| Number of female employees in Corporate and Centralised Services (Including Hong Kong, Singapore, Macau and Japan) | 310 | 281 | 250 | 73 | |
| Number of female employees in Cyprus Property | 289 | 304 | 405 | 73 | |
| Number of female employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 6969 | 6499 | 5920 | 73 | |
| Number of female employees in Manila Property | 2032 | 1559 | 1540 | 73 | |
| Number of male employees in Corporate and Centralised Services (Including Hong Kong, Singapore, Macau and Japan) | 413 | 366 | 283 | 73 | |
| Number of male employees in Cyprus Property | 422 | 456 | 568 | 73 | |
| Number of male employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 6815 | 6261 | 5772 | 73 | |
| Number of male employees in Manila Property | 2519 | 2171 | 2173 | 73 | |
| Reduction in business volume | % | 40 | 91 | ||
| Total employees in Corporate and Centralised Services (Including Hong Kong, Singapore, Macau and Japan) | 723 | 647 | 533 | 73 | |
| Total employees in Cyprus Property | 711 | 760 | 973 | 73 | |
| Total employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 13784 | 12760 | 11692 | 73 | |
| Total employees in Manila Property | 4561 | 3730 | 3713 | 73 | |
| Vice President level and above positions filled locally | percent | 69% | 40 | ||
| Women as percentage of global workforce | percent | 48% | 40 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Employee Turnover by Age - Between the age of 30 and 50 | number, rate | 2258 | 13.21% | 10.14% | 75 |
| Employee Turnover by Age - Over 50 years of age | number, rate | 339 | 15.84% | 549 | 75 |
| Employee Turnover by Age - Under 30 years of age | number, rate | 1462 | 25.43% | 423 | 75 |
| Employee Turnover by Gender - Female | number, rate | 19.08% | 14.96% | 1051 | 75 |
| Employee Turnover by Gender - Male | number, rate | 21.90% | 16.47% | 1087 | 75 |
| Employee Turnover by Location - Cyprus | number, rate | 13.42% | 75 | ||
| Employee Turnover by Location - Hong Kong | number, rate | 76.76% | 35.27% | 67 | 75 |
| Employee Turnover by Location - Macau | number, rate | 2300 | 1691 | 1575 | 75 |
| Employee Turnover by Location - Manila | number, rate | 31.75% | 24.08% | 9.85% | 75 |
| Employee Turnover by Location - Other Locations | number, rate | 12.78% | 18.90% | 20.00% | 75 |
| Employee Turnover by Location - Singapore | rate | 0% | 75 | ||
| New Hires by Age - Between the age of 30 and 50 | number, rate | 2.29% | 358 | 621 | 75 |
| New Hires by Age - Over 50 years of age | number, rate | 2.37% | 1.82% | 2.08% | 75 |
| New Hires by Age - Under 30 years of age | number, rate | 6.08% | 12.30% | 503 | 75 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Reduction in work-related injuries across Macau compared to pre-pandemic 2019 base year | % | 77.4 | 61 | ||
| Reduction in work-related injuries throughout the pandemic compared to 2019 base year | % | 54.3 | 63.7 | 61 | |
| Total Recordable Injury Rate - 40-hour work week/total cases | 1.59 | 1.69 | 2.02 | 76 | |
| Total Recordable Injury Rate - 48-hour work week/total cases | 1.33 | 1.41 | 1.69 | 76 | |
| Total Recordable Injury Rate - Average | 1.46 | 1.55 | 1.86 | 76 |
Lost days due to work injury.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| The Group's Total Lost-time Incident Frequency Rate (Group average) | per 1000000 hours | 7.31 | 7.75 | 9.27 | 43 |
| The Group's Total Recordable Injury Frequency Rate (Group average) | per 200000 hours | 1.46 | 1.55 | 1.86 | 43 |
| Total Lost-time Injury Frequency Rate - 40-hour work week/total cases | 7.97 | 8.45 | 10.11 | 76 | |
| Total Lost-time Injury Frequency Rate - 48-hour work week/total cases | 6.64 | 7.04 | 8.43 | 76 | |
| Total Lost-time Injury Frequency Rate - Average | 7.31 | 7.75 | 9.27 | 76 | |
| Total lost days due to work injury | days | 1414 | 1339 | 1390 | 76 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of colleagues who completed training courses on nutrition and healthy eating in Macau | 1826 | 61 | |
| Percentage of Macau colleagues who completed Government Patriotic Exhibit | % | 90 | 49 |
| Percentage of employees who received training (overall) | percent | 96.4 | 86 |
| Percentage of management employees who received training | percent | 95.2 | 86 |
| Percentage of non-management employees who received training | percent | 96.5 | 86 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2020 | 2021 | 2022 | Report Pages |
|---|---|---|---|---|---|
| Average training hours completed per employee - Management - Female | hours | 15.74 | 24.5 | 20.03 | 76 |
| Average training hours completed per employee - Management - Male | hours | 24.65 | 20.14 | 15.33 | 76 |
| Average training hours completed per employee - Non Management - Female | hours | 104.29 | 131.5 | 204.82 | 76 |
| Average training hours completed per employee - Non Management - Male | hours | 95.26 | 105.01 | 161.64 | 76 |
| Average training hours completed per employee, Management, Female | hours | 15.74 | 24.5 | 20.03 | 40 |
| Average training hours completed per employee, Management, Male | hours | 24.65 | 20.14 | 15.33 | 40 |
| Average training hours completed per employee, Non-management, Female | hours | 104.29 | 131.5 | 204.82 | 40 |
| Average training hours completed per employee, Non-management, Male | hours | 95.26 | 105.01 | 161.64 | 40 |
Number of suppliers by geographical region.
| Indicator | Unit | 2021 | 2022 | Report Pages |
|---|---|---|---|---|
| Global chemical spend by sustainability rating for Macau and Manila | HK$ million | 11.84 | 9.15 | 57 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Percentage change in global chemical spend by sustainability rating for Macau and Manila | -23% | 57 | |
| Proportion of chemicals rated Green or Amber | close to 90% | 57 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Increase in sustainable seafood purchased by weight in Manila compared to 2021 | % | 12 | 57 |
| Proportion of sustainable seafood purchased by weight for Macau and Manila | % | 19 | 57 |
| Proportion of sustainable seafood purchased by weight in Manila | % | 34 | 57 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2022 | Report Pages |
|---|---|---|---|
| Number of Macau schools participating in Youth Star Talent Contest | 56 | 49 | |
| Number of children benefiting from volunteer activities in Macau | 400 | 49 | |
| Number of youth from Macau schools participating in Youth Star Talent Contest | 900 | 49 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2008-2021 (cumulative) | 2022 | Report Pages |
|---|---|---|---|---|
| Charitable contributions (HK$) | million HK$ | 181.1 | 63.9 | 49 |
| Number of colleagues who attended National Security Exhibit in Macau | 1200 | 49 | ||
| Number of colleagues who completed Government Patriotic Exhibit in Macau | 10000 | 49 | ||
| Number of volunteering initiatives across Macau, Manila, and Cyprus | 2000 | 49 | ||
| Number of volunteering participants across Macau, Manila, and Cyprus | 22000 | 49 | ||
| Surplus linen donated to people in need in Manila through Bahay Aruga | kg | 4100 | 49 |
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 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | metric tonnes CO2e | 16331 | 14842 | 17152 |
| HFC Emissions | metric tonnes CO2e | 5095 | 4510 | 4713 |
| Indirect Energy Emissions (Scope 2) | metric tonnes CO2e | 207018 | 212111 | 210353 |
| Mobile Combustion Emissions | metric tonnes CO2e | 5965 | 5095 | 7467 |
| Scope 3 GHG Emissions (Business Travel) | metric tonnes CO2e | 612 | ||
| Scope 3 GHG Emissions (Capital Goods) | metric tonnes CO2e | 200438 | ||
| Scope 3 GHG Emissions (Downstream Leased Assets) | metric tonnes CO2e | 30579 | 32697 | 31175 |
| Scope 3 GHG Emissions (Employee Commuting) | metric tonnes CO2e | 6412 | ||
| Scope 3 GHG Emissions (Fuel and Energy-related Activities (Not Included in Scope 1 or Scope 2)) | metric tonnes CO2e | 35588 | 56882 | 56034 |
| Scope 3 GHG Emissions (Purchased Goods/Services) | metric tonnes CO2e | 81164 | ||
| Scope 3 GHG Emissions (Upstream Leased Assets) | metric tonnes CO2e | 195 | ||
| Scope 3 GHG Emissions (Upstream Transportation and Distribution) | metric tonnes CO2e | 414 | ||
| Scope 3 GHG Emissions (Waste Generated in Operations) | metric tonnes CO2e | 1181 | ||
| Scope 3 GHG Emissions Intensity (By Area) | metric tonnes CO2e/m2 | 0.27 | ||
| Total GHG Emissions Intensity (By Area) | metric tonnes CO2e/m2 | 0.01 | 0.01 | 0.01 |
| Total Other Indirect Energy Emissions (Scope 3) | metric tonnes CO2e | 66167 | 89579 | 377625 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2021 | 2022 |
|---|---|---|---|
| Hazardous Electronic Waste | metric tonnes | 17 | |
| Hazardous Waste (Used Batteries) | metric tonnes | 10 | |
| Total Hazardous Waste | metric tonnes | 110 | 30 |
| Total Hazardous Waste Intensity (By Product Volume) | metric tonnes/m³ | 0.00008 | 0.00002 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Glass Waste | metric tonnes | 12.43 | 66.33 | 152.08 |
| Non-Hazardous Waste Incineration | metric tonnes | 6786 | 7624 | 5657 |
| Non-Hazardous Waste Landfilling | metric tonnes | 1140 | 1163 | 1026 |
| Non-Hazardous Waste Recycled | metric tonnes | 313 | 720 | 735 |
| Paper Waste | metric tonnes | 210.2 | 326.3 | 310.13 |
| Plastic Waste | metric tonnes | 4.04 | 102.08 | 80.29 |
| Total Non-Hazardous Waste Incineration | metric tonnes | 6786 | 7624 | 5657 |
| Total Non-Hazardous Waste Intensity (By Area) | metric tonnes/m² | 0.01 | 0.01 | 0.01 |
| Total Non-Hazardous Waste Intensity (By Unit Product) | metric tonnes/m³ | 0.007 | 0.005 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| GHG Emissions Reduction Compared to Last Year | metric tonnes of CO2e |
| Percentage of Reduction in GHG Intensity Compared to Last Year | percent |
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 | 2030 |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Compared to Last Year (By Area) | reduction | 0.24 |
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 24 |
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 | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | MWh/m² | 0.27 | 0.27 | 0.28 |
| Percentage of Renewable Energy Consumption | % | 0.41 | 0.39 | 0.39 |
| Renewable Energy Consumption | MWh | 1555 | 1478 | 1525 |
| Total Energy Consumption | MWh | 380403 | 383628 | 390278 |
| Total Non-Renewable Fuel Consumption | MWh | 51911 | 47770 | 58416 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Municipal Water Consumption | m³ | 2129685 | 2119732 | 2104523 |
| Recycled Water Percentage | % | 2.88 | 6.51 | 9.37 |
| Recycled Water Usage | m³ | 63120 | 147549 | 217714 |
| Water Consumption | m³ | 2192805 | 2267281 | 2322237 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 | 2021 | 2022 | 2030 |
|---|---|---|---|---|---|
| Energy Consumption Reduction Compared to Last Year | kWh | 31174324 | 43629282 | 51332673 | |
| Energy Consumption Reduction Percentage Compared to Last Year | % | ||||
| Target Energy Consumption Reduction Percentage Compared to Last Year | percent | ||||
| Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | reduction | 0.22–0.28 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2030 |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | % | 19 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Number of Female Employees | 8643 | 8115 | ||
| Number of Interns | 119 | |||
| Number of Male Employees | 9254 | 8796 | ||
| Number of New Employees (Female) | 296 | 286 | 535 | |
| Number of New Employees (Hong Kong) | 45 | 28 | 27 | |
| Number of New Employees (Male) | 317 | 500 | 652 | |
| Number of New Employees in Macau | 386 | 505 | 479 | |
| Number of New Employees in Overseas | 192 | 253 | 682 | |
| Number of Total Employees | 19779 | 17897 | 16911 | |
| Percentage of Employees Aged 30-50 | % | 60 | 64 | 67 |
| Percentage of Employees Aged Above 50 | % | 17 | 18 | 18 |
| Percentage of Employees Aged Below 30 | % | 23 | 18 | 15 |
| Percentage of Employees in Hong Kong | % | 3 | 4 | 3 |
| Percentage of Employees in Macau | % | 70 | 71 | 69 |
| Percentage of Employees in Overseas | % | 27 | 25 | 28 |
| Percentage of Female Employees | percent | 49 | 49 | 48 |
| Percentage of Male Employees | % | 51 | 51 | 52 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 18.47 | 13.21 | 10.14 |
| Turnover Rate of Employees Aged Above 50 | % | 10.03 | 15.84 | 17.84 |
| Turnover Rate of Employees Aged Below 30 | % | 35.14 | 25.43 | 18.16 |
| Turnover Rate of Employees in Hong Kong | % | 76.76 | 35.27 | 35.26 |
| Turnover Rate of Employees in Macau | % | 16.22 | 12.87 | 13.08 |
| Turnover Rate of Employees in Singapore | % | None | None | |
| Turnover Rate of Female Employees | % | 19.08 | 14.96 | 12.94 |
| Turnover Rate of Male Employees | % | 21.9 | 16.47 | 12.37 |
Lost days due to work injury.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 1414 | 1339 | 1390 |
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | per 1000000 hours | 7.31 | 7.75 | 9.27 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Percentage of Employees Trained | percent | 96.4 |
| Percentage of Trained General Employees | percent | 96.5 |
| Percentage of Trained Senior Management | percent | 95.2 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2020 | 2021 | 2022 |
|---|---|---|---|---|
| Average Training Hours (Female) | hours | 60.015 | 78 | 112.425 |
| Average Training Hours (General Staff) | hours | 99.775 | 118.255 | 183.23 |
| Average Training Hours (Male) | hours | 59.955 | 62.575 | 88.485 |
| Average Training Hours per Employee | hours | 59.985 | 70.2875 | 100.455 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2022 |
|---|---|---|
| Number of Participations in Volunteer Activities | 22000 | |
| Number of Volunteer Activities Sessions | 2000 | |
| Total In-kind Donations | kg | 4100 |
| Total Public Welfare Donations | million HK$ | 63.9 |
| Total Social Investment | million HK$ | 63.9 |