2021 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Emissions from stationary fuel combustion | metric tonnes of CO2e | 8766 | 5282 | 5237 | 23 |
Scope 3 emissions - Fuel and energy-related activity | metric tonnes of CO2e | 49516 | 35688 | 56882 | 23 |
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 | 2019 | 2020 | 2021 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Biogenic emissions | metric tonnes of CO2e | 310 | 150 | 264 | 23, 74 | |
Downstream leased assets (tenants) Scope 3 emissions | metric tonnes of CO2e | 33405 | 30579 | 32697 | 74 | |
Emissions from mobile fuel combustion | metric tonnes of CO2e | 12883 | 5955 | 5095 | 23 | |
Emissions from mobile fuel combustion (Scope 1) | metric tonnes of CO2e | 12883 | 5965 | 5095 | 74 | |
Emissions from stationary fuel combustion (Scope 1) | metric tonnes of CO2e | 8766 | 5282 | 5237 | 74 | |
Equivalent number of passenger cars taken off the road by PV panel project on roof of City of Dreams Macau and Studio City | million passenger cars annually | 12.6 | 22 | |||
Fuel and energy-related activity Scope 3 emissions | metric tonnes of CO2e | 49516 | 35588 | 56882 | 74 | |
Fugitive emissions from refrigerants | metric tonnes of CO2e | 8677 | 5095 | 4510 | 23 | |
Fugitive emissions from refrigerants (Scope 1) | metric tonnes of CO2e | 8677 | 5095 | 4510 | 74 | |
Number of EV shuttle buses in Macau | 30 | 22 | ||||
Scope 1 emissions | metric tonnes of CO2e | 30327 | 16331 | 14842 | 23, 74 | |
Scope 2 emissions (location-based) | metric tonnes of CO2e | 264983 | 207018 | 212111 | 23, 74 | |
Scope 2 emissions (market-based) | metric tonnes of CO2e | 2034 | 665 | 280 | 23, 74 | |
Scope 3 emissions - Downstream leased assets (tenants) | metric tonnes of CO2e | 33405 | 30579 | 32697 | 23 | |
Total Scope 1 and 2 emissions (location-based) | metric tonnes of CO2e | 296620 | 223499 | 227217 | 23, 74 | |
Total Scope 1 and 2 emissions (market-based) | metric tonnes of CO2e | 32360 | 16996 | 15123 | 23, 74 | |
Total Scope 1 and 2 emissions (market-based) intensity by floor area | metric tonnes of CO2e/m² | 0.02 | 0.01 | 0.01 | 74 | |
Total Scope 1 and 2 emissions (market-based) intensity by floor area at facilities in Cyprus | metric tonnes of CO2e/m2 | 0.02 | 0.01 | 0.01 | 23 | |
tCO2e/m2 intensity reduction in Scope 1 and 2 GHG emissions (ambition) | % | 22 | 18 | |||
tCO2e/m2 intensity reduction in Scope 1 and 2 GHG emissions by 2030 | % | 5 | 18 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Hazardous materials generated | tonnes | 54 | 90 | ||
Material diversion by type - Batteries | % | 0.17 | 27 | ||
Material diversion by type - Coffee Capsules | % | 1.42 | 27 | ||
Material diversion by type - Metal | % | 4.64 | 27 | ||
Material diversion by type - Others (e.g. e-waste, ink toners and light fixtures) | % | 12.07 | 27 | ||
Material diversion by type - Plastic | % | 11.22 | 27 | ||
Material diversion by type - Used Cooking Oil | % | 6.05 | 27 | ||
Total hazardous waste produced (comprising batteries, e-waste, ink toners and light bulbs) | tonnes | 110 | 78 | ||
Total waste generated | metric tonnes | 17682 | 7926 | 8787 | 26 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Additional plastic bottles eliminated annually by water refilling dispensers in Macau, Manila and Cyprus (2021 enablement) | million bottles | 2.8 | 25 | ||
Composting | metric tonnes | 88 | 36 | 192 | 26 |
Food waste diverted from disposal through composting and vermiculture | tonnes | 192 | 15 | ||
Incineration | metric tonnes | 15415 | 6786 | 7624 | 26 |
Increase in food waste diverted from disposal over previous year | % | 430 | 15 | ||
Landfill | metric tonnes | 2267 | 1140 | 1163 | 26 |
Material diversion by type - Food Waste | % | 21.1 | 27 | ||
Material diversion by type - Glass Bottles | % | 7.29 | 27 | ||
Material diversion by type - Paper | % | 35.86 | 27 | ||
Material diversion by type - Soap | % | 0.35 | 27 | ||
Materials diverted and waste generation intensity | metric tonnes/m² | 0.01 | 0.01 | 0.01 | 26 |
Recycling | metric tonnes | 624 | 313 | 720 | 26 |
Reduction in number of chemical products used in Macau and Manila | percent | 23% | 54 | ||
Reduction in number of chemical products used in Macau and Manila (Green category) | percent | -51% | -23% | 54 | |
Total materials diverted | metric tonnes | 713 | 349 | 912 | 26 |
Total materials diverted and waste generated | metric tonnes | 18395 | 8275 | 9699 | 26 |
Total non-hazardous waste produced (in tonnes) | tonnes | 9589 | 79 | ||
Waste diverted from disposal through onsite composting | tonnes | 192 | 27 | ||
Waste diverted from disposal through recycling | tonnes | 720 | 27 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2021 | 2030 | Report Pages |
---|---|---|---|---|
CO2e reduction capacity of PV panel project on roof of City of Dreams Macau and Studio City | tCO2e annually | 5100 | 22 | |
Scope 1 and 2 GHG emissions intensity reduction ambition | % | 22 | 16 | |
Scope 1 and 2 GHG emissions intensity reduction target | tCO2e/m2 | 5 | 16 |
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 | 2020 | 2021 | 2030 | Report Pages |
---|---|---|---|---|---|
Ambition for intensity reduction in non-hazardous waste generation against 2019 baseline | percent | 24 | 24 | ||
Intensity reduction in non-hazardous waste generation | tonnes/m2 | 5 | 24 | ||
Non-hazardous waste generation intensity reduction ambition | % | 24 | 16 | ||
Non-hazardous waste generation intensity reduction target | tonnes/m2 | 5 | 16 | ||
Plastic for recycling captured in F&B operations | tonnes | 4 | 102 | 25 | |
Plate waste reduction during five-month trial monitoring period | % | 35 | 15 |
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 | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Annual generation of PV panel project on roof of City of Dreams Macau and Studio City | MWh | 7000 | 22 | ||
Annual generation of PV solar panel project in City of Dreams Manila | MW at full capacity, MWh | 1.2 | 22 | ||
Annual generation of PV solar panels in City of Dreams Mediterranean | MW at full capacity | 1.2 | 22 | ||
Capacity of PV panel project on roof of City of Dreams Macau and Studio City | PV panel | 18000 | 22 | ||
Capacity of PV solar panel project in City of Dreams Manila | PV panel | 3120 | 22 | ||
Capacity of PV solar panels in City of Dreams Mediterranean | PV panel | 4000 | 22 | ||
Electricity consumption from non-renewable sources | MWh | 416996 | 326937 | 334380 | 22, 75 |
Electricity consumption from renewable sources | MWh | 1555 | 1478 | 22, 75 | |
Energy intensity | MWh/m² | 0.367 | 0.27 | 0.27 | 22, 75 |
Equivalent number of smartphones charged by PV solar panel project in City of Dreams Manila | million smartphones annually | 139 | 22 | ||
Fuel consumption from non-renewable sources | MWh | 101673 | 51911 | 47770 | 22, 75 |
Number of EV chargers in Macau | 70 | 80 | 22 | ||
Number of EV charging ports in Cyprus (planned) | 6 | 22 | |||
Number of EV charging stations in City of Dreams Mediterranean (provisions for at least) | 60 | 22 | |||
Number of EV golf carts in Macau | 4 | 22 | |||
Number of diesel-powered shuttle buses in Macau | 20 | 22 | |||
Total energy consumption | MWh | 518668 | 380403 | 383628 | 22, 75 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Increase in amount of water recycled in 2021 over previous year | 134% | 28 | |||
Municipal water consumption | m³ | 3480473 | 2129685 | 2119732 | 29 |
Recycled water consumption | m³ | 50718 | 63120 | 147549 | 29 |
Reused treated wastewater in City of Dreams Manila's cooling tower | m3 | 14000 | 28 | ||
Total water consumption | m³ | 3531191 | 2192805 | 2267281 | 29 |
Water intensity by floor area (in m³/m²) | m³/m² | 1.56 | 1.6 | 29 | |
Water intensity by floor area (in m³/m²), facilities in Cyprus | m³/m² | 2.47 | 29 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | 2020 | 2021 | 2030 | Report Pages |
---|---|---|---|---|---|---|
Annualised energy savings from Energy-efficiency Measures (EEMs), Altira Macau | kWh | 5428746 | 21 | |||
Annualised energy savings from Energy-efficiency Measures (EEMs), City of Dreams Macau | kWh | 19559473 | 21 | |||
Annualised energy savings from Energy-efficiency Measures (EEMs), City of Dreams Manila | kWh | 5577569 | 21 | |||
Annualised energy savings from Energy-efficiency Measures (EEMs), Studio City | kWh | 16300899 | 21 | |||
Calculated kWh savings based on annualised energy-efficiency measures (EEMs) - Altira Macau | kWh | 967325 | 4890185 | 5428746 | 75 | |
Calculated kWh savings based on annualised energy-efficiency measures (EEMs) - City of Dreams Macau | kWh | 3112560 | 14482900 | 19559473 | 75 | |
Calculated kWh savings based on annualised energy-efficiency measures (EEMs) - City of Dreams Manila | kWh | 2166350 | 2166354 | 5577569 | 75 | |
Calculated kWh savings based on annualised energy-efficiency measures (EEMs) - Studio City | kWh | 5653690 | 9634885 | 16300899 | 75 | |
Calculated kWh savings based on annualised energy-efficiency measures (EEMs) - Total | kWh | 11799925 | 31174324 | 46866687 | 75 | |
Energy intensity reduction compared to 2019 | 26% | 21 | ||||
Fuel and electricity consumption intensity reduction ambition | % | 22–28 | 16 | |||
Fuel and electricity consumption intensity reduction target | kWh/m2 | 3 | 16 | |||
kWh/m2 intensity reduction in fuel and electricity consumption by 2030 | % | 3 | 18 |
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 | 2021 | 2030 | Report Pages |
---|---|---|---|---|
Annualised water savings from water efficiency measures at properties in Macau and Manila since 2019 | m3 | 432000 | 28 | |
Intensity reduction in water consumption | m3/m2 | 19 | 24 | |
Water consumption intensity reduction target | m3/m2 | 19 | 16 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2021 | Report Pages |
---|---|---|---|
Vermicast harvested at City of Dreams Manila | kg | 4731 | 27 |
Vermitea harvested at City of Dreams Manila | litres | 2684 | 27 |
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 | 2021 | Report Pages |
---|---|---|---|
Carbon Disclosure Project (CDP) - overall score | score | B | 5 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
% of Employees in Corporate and Centralised Services (Including Hong Kong, Macau and Japan) | 4% | 3% | 4% | 69 | |
% of Employees in Cyprus Property | 4% | 4% | 4% | 69 | |
% of Employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 67% | 70% | 71% | 69 | |
% of Employees in Manila Property | 25% | 23% | 21% | 69 | |
Board Members by Age - Between the age of 30 and 50 | % | 37% | 35% | 30% | 73 |
Board Members by Age - Over 50 years of age | % | 63% | 65% | 70% | 73 |
Board Members by Age - Under 30 years of age | % | 0% | 0% | 0% | 73 |
Board Members by Gender - Female | % | 24% | 25% | 24% | 73 |
Board Members by Gender - Male | % | 76% | 75% | 76% | 73 |
Corporate Executive Committees by Age - Between the age of 30 and 50 | % | 39% | 47% | 44% | 73 |
Corporate Executive Committees by Age - Over 50 years of age | % | 61% | 53% | 56% | 73 |
Corporate Executive Committees by Age - Under 30 years of age | % | 0% | 0% | 0% | 73 |
Corporate Executive Committees by Gender - Female | % | 28% | 18% | 19% | 73 |
Corporate Executive Committees by Gender - Male | % | 72% | 82% | 81% | 73 |
Management by Age - Between the age of 30 and 50 | % | 81% | 82% | 81% | 73 |
Management by Age - Over 50 years of age | % | 17% | 17% | 19% | 73 |
Management by Age - Under 30 years of age | % | 2% | 1% | 1% | 73 |
Management by Gender - Female | % | 39% | 41% | 40% | 73 |
Management by Gender - Male | % | 61% | 59% | 60% | 73 |
Management workforce between the age of 30 and 50 | % | 81% | 82% | 81% | 70 |
Management workforce over 50 years of age | % | 17% | 17% | 19% | 70 |
Management workforce under 30 years of age | % | 2% | 1% | 1% | 70 |
New Hires by Gender - Female - Number | 1889 | 296 | 286 | 71 | |
New Hires by Gender - Male - Number | 1830 | 317 | 500 | 71 | |
New Hires by Location - Hong Kong - Number | 94 | 45 | 28 | 71 | |
New Hires by Location - Hong Kong - Rate | 23.80% | 15.85% | 13.53% | 71 | |
New Hires by Location - Macau - Number | 2425 | 386 | 505 | 71 | |
New Hires by Location - Macau - Rate | 15.17% | 2.72% | 3.84% | 71 | |
New Hires by Location - Manila - Number | 963 | 124 | 50 | 71 | |
New Hires by Location - Manila - Rate | 16.41% | 2.72% | 1.34% | 71 | |
New Hires by Location - Other locations - Number | 237 | 58 | 203 | 71 | |
New Hires by Location - Other locations - Rate | 29.92% | 7.72% | 25.47% | 71 | |
Non-Management workforce between the age of 30 and 50 | % | 57% | 60% | 64% | 70 |
Non-Management workforce over 50 years of age | % | 14% | 17% | 18% | 70 |
Non-Management workforce under 30 years of age | % | 29% | 23% | 18% | 70 |
Non-management by Age - Between the age of 30 and 50 | % | 57% | 60% | 64% | 73 |
Non-management by Age - Over 50 years of age | % | 14% | 17% | 18% | 73 |
Non-management by Age - Under 30 years of age | % | 29% | 23% | 18% | 73 |
Non-management by Gender - Female | % | 49% | 49% | 49% | 73 |
Non-management by Gender - Male | % | 51% | 51% | 51% | 73 |
Number of female employees in Corporate and Centralised Services (Including Hong Kong, Macau and Japan) | 364 | 310 | 281 | 69 | |
Number of female employees in Cyprus Property | 393 | 289 | 304 | 69 | |
Number of female employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 7684 | 6969 | 6499 | 69 | |
Number of female employees in Manila Property | 2706 | 2032 | 1559 | 69 | |
Number of male employees in Corporate and Centralised Services (Including Hong Kong, Macau and Japan) | 494 | 413 | 366 | 69 | |
Number of male employees in Cyprus Property | 572 | 422 | 456 | 69 | |
Number of male employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 7886 | 6815 | 6261 | 69 | |
Number of male employees in Manila Property | 3162 | 2519 | 2171 | 69 | |
Percentage of colleagues in Macau who completed their passport | 89% | 45 | |||
Senior Management representation from local communities in Cyprus | % | 40% | 40% | 57% | 70 |
Senior Management representation from local communities in Hong Kong | % | 66% | 69% | 73% | 70 |
Senior Management representation from local communities in Macau | % | 73% | 82% | 77% | 70 |
Senior Management representation from local communities in Manila | % | 44% | 43% | 67% | 70 |
Senior Management representation from local communities total | % | 66% | 71% | 73% | 70 |
Senior Management representation from non-local communities in Cyprus | % | 60% | 60% | 43% | 70 |
Senior Management representation from non-local communities in Hong Kong | % | 34% | 31% | 27% | 70 |
Senior Management representation from non-local communities in Macau | % | 27% | 18% | 23% | 70 |
Senior Management representation from non-local communities in Manila | % | 56% | 57% | 33% | 70 |
Senior Management representation from non-local communities total | % | 34% | 29% | 27% | 70 |
Total employees in Corporate and Centralised Services (Including Hong Kong, Macau and Japan) | 858 | 723 | 647 | 69 | |
Total employees in Cyprus Property | 965 | 711 | 760 | 69 | |
Total employees in Macau Properties (Including City of Dreams, Studio City, Altira Macau and Mocha Clubs) | 15570 | 13784 | 12760 | 69 | |
Total employees in Manila Property | 5868 | 4551 | 3730 | 69 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Employee Turnover by Age - Between the age of 30 and 50 - Number | 1423 | 2258 | 1537 | 71 | |
Employee Turnover by Age - Between the age of 30 and 50 - Rate | 10.57% | 18.47% | 13.21% | 71 | |
Employee Turnover by Age - Over 50 years of age - Number | 223 | 339 | 513 | 71 | |
Employee Turnover by Age - Over 50 years of age - Rate | 6.88% | 10.03% | 15.84% | 71 | |
Employee Turnover by Age - Under 30 years of age - Number | 1262 | 1462 | 763 | 71 | |
Employee Turnover by Age - Under 30 years of age - Rate | 19.93% | 35.14% | 25.43% | 71 | |
Employee Turnover by Gender - Female - Number | 1358 | 1832 | 1291 | 71 | |
Employee Turnover by Gender - Female - Rate | 12.30% | 19.08% | 14.95% | 71 | |
Employee Turnover by Gender - Male - Number | 1550 | 2227 | 1522 | 71 | |
Employee Turnover by Gender - Male - Rate | 12.92% | 21.90% | 16.47% | 71 | |
Employee Turnover by Location - Hong Kong - Number | 88 | 218 | 73 | 71 | |
Employee Turnover by Location - Hong Kong - Rate | 22.28% | 76.76% | 35.27% | 71 | |
Employee Turnover by Location - Macau - Number | 1951 | 2300 | 1691 | 71 | |
Employee Turnover by Location - Macau - Rate | 12.21% | 16.22% | 12.87% | 71 | |
Employee Turnover by Location - Manila - Number | 725 | 1445 | 898 | 71 | |
Employee Turnover by Location - Manila - Rate | 12.36% | 31.75% | 24.08% | 71 | |
Employee Turnover by Location - Other Locations - Number | 144 | 96 | 151 | 71 | |
Employee Turnover by Location - Other Locations - Rate | 18.18% | 12.78% | 18.90% | 71 | |
New Hires by Age - Between the age of 30 and 50 - Number | 1576 | 280 | 358 | 71 | |
New Hires by Age - Between the age of 30 and 50 - Rate | 11.70% | 2.29% | 3.08% | 71 | |
New Hires by Age - Over 50 years of age - Number | 147 | 80 | 59 | 71 | |
New Hires by Age - Over 50 years of age - Rate | 4.54% | 2.37% | 1.82% | 71 | |
New Hires by Age - Under 30 years of age - Number | 1996 | 253 | 369 | 71 | |
New Hires by Age - Under 30 years of age - Rate | 31.53% | 6.08% | 12.30% | 71 | |
New Hires by Gender - Female - Rate | 17.12% | 3.08% | 3.31% | 71 | |
New Hires by Gender - Male - Rate | 16.24% | 3.12% | 5.41% | 71 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Number of work-related injury cases reported | 306 | 294 | 39 | ||
Total Recordable Injury Rate - 40-hour work week/total cases | 3.32 | 1.59 | 1.69 | 72 | |
Total Recordable Injury Rate - 48-hour work week/total cases | 2.77 | 1.33 | 1.41 | 72 | |
Total Recordable Injury Rate - Average | 3.05 | 1.46 | 1.55 | 72 |
Lost days due to work injury.
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Lost days due to work injury | lost days | 1339 | 81 | ||
Number of lost days due to work injury | days | 1339 | 39 | ||
The Group’s Total Lost-time Injury Frequency Rate | per 1000000 hours | 15.24 | 7.31 | 7.75 | 39 |
The Group’s Total Recordable Injury Rate | per 200000 hours | 3.05 | 1.46 | 1.55 | 39 |
Total Lost-time Injury Frequency Rate - 40-hour work week/total cases | 16.62 | 7.97 | 8.45 | 72 | |
Total Lost-time Injury Frequency Rate - 48-hour work week/total cases | 13.85 | 6.64 | 7.04 | 72 | |
Total Lost-time Injury Frequency Rate - Average | 15.24 | 7.31 | 7.75 | 72 | |
Total lost days due to work injury | days | 3477 | 1414 | 1339 | 72 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2021 | Report Pages |
---|---|---|---|
Number of employees trained in Hotel and Catering Safety Card Training Programme | employees | 10405 | 39 |
Number of participants in Micro-Enterprise mentorship and skill training | 90 | 45 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|
Average training hours completed per employee - Management - Female | hours | 24.43 | 15.74 | 24.5 | 72 |
Average training hours completed per employee - Management - Male | hours | 24.54 | 24.65 | 20.14 | 72 |
Average training hours completed per employee - Non Management - Female | hours | 27.31 | 104.29 | 131.5 | 72 |
Average training hours completed per employee - Non Management - Male | hours | 24.1 | 95.26 | 105.01 | 72 |
Average training hours completed per employee, Management, Female | hours | 24.43 | 15.74 | 24.5 | 35 |
Average training hours completed per employee, Management, Male | hours | 24.54 | 24.65 | 20.14 | 35 |
Average training hours completed per employee, Non-management, Female | hours | 27.31 | 104.29 | 131.5 | 35 |
Average training hours completed per employee, Non-management, Male | hours | 24.1 | 95.26 | 105.01 | 35 |
Total hours of mentoring provided in Micro-Enterprise program | hours | 200 | 45 |
Number of suppliers by geographical region.
Indicator | Unit | 2021 | Report Pages |
---|---|---|---|
Number of suppliers for Chef's Table experiments | suppliers | 54 | 15 |
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 | 2021 | Report Pages |
---|---|---|---|
Carbon Disclosure Project (CDP) - A- score for climate-related supplier engagement strategy | score | A- | 5 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2019 | 2020 | 2021 | 2025 | Report Pages |
---|---|---|---|---|---|---|
Increase in sustainable seafood items by weight | percent | 73% | 54 | |||
Number of chemical products used in Macau and Manila (Green category) | Number of Products | 217 | 107 | 82 | 54 | |
Percentage of total seafood procured by weight that is sustainable in Macau | % | 8 | 16 | 15 | ||
Share of sustainable seafood in total seafood procured | percent | 16% | 54 | |||
Target percentage of seafood to be procured from sustainable, local and/or certified sources | % | 20 | 15 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2021 | Report Pages |
---|---|---|---|
Total number of shuttle buses in Macau | 50 | 22 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Number of owned and operated restaurants in Macau with vegetarian and sustainable seafood icons on menus | restaurants | 16 | 15 | |
Number of sustainable products brought to Chef's Table for experiments every other month | products | 20 | 15 | |
Number of sustainable seafood varieties available in Macau | varieties | 26 | 57 | 15 |
Number of sustainable seafood varieties available on Macau menus | Number of Varieties | 26 | 57 | 54 |
Percentage of owned and operated restaurants in Macau with vegetarian and sustainable seafood icons on menus | % | 38 | 15 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2021 | Report Pages |
---|---|---|---|
Forbes Travel Guide Awards - five-star and four-star awards, Michelin Stars across restaurants | awards | 97 | 5 |
Number of acts into Melco Star Youth Talent Competition | 142 | 45 | |
Number of youth performers entered Melco Star Youth Talent Competition | 900 | 45 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2008-2020 | 2019 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|---|
Charitable contributions | million HK$ | 133.4 | 264 | 170.4 | 45 | |
Charitable contributions (cumulative) | million HK$ | 753.8 | 45 | |||
Disaster relief donation for flood control, emergency relief, and reconstruction work in Zhengzhou, China | million HK$ | 9.7 | 45 | |||
Number of NGOs, associations, schools, nurseries, government departments, and SMEs supported through volunteering | 1300 | 45 | ||||
Number of business units involved in Micro-Enterprise mentorship | 20 | 45 | ||||
Number of students provided with tuition subsidies for digital skills and employment pipeline | 3 | 45 | ||||
Number of students supported for Studio City staycation (Macao Institute for Tourism Studies) | 30 | 45 | ||||
Number of volunteer participants | 16000 | 45 |
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 | 2019 | 2020 | 2021 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | metric tonnes of CO2e | 30327 | 16331 | 14842 |
HFC Emissions | metric tonnes of CO2e | 8677 | 5095 | 4510 |
Indirect Energy Emissions (Scope 2) | metric tonnes of CO2e | 264983 | 207018 | 212111 |
Mobile Combustion Emissions | metric tonnes of CO2e | 12883 | 5965 | 5095 |
Scope 3 GHG Emissions (Downstream Leased Assets) | metric tonnes of CO2e | 33405 | 30579 | 32697 |
Stationary Combustion Emissions | metric tonnes of CO2e | 8766 | 5282 | 5237 |
Total GHG Emissions Intensity (By Area) | metric tonnes of CO2e/m² | 0.02 | 0.01 | 0.01 |
Total Other Indirect Energy Emissions (Scope 3) | metric tonnes of CO2e | 49516 | 35588 | 56882 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2021 |
---|---|---|---|
Total Hazardous Waste | tonnes | 54 | 110 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | 2021 |
---|---|---|---|---|
Diversion Rate of Non-Hazardous Waste | % | 21.1 | ||
Glass Waste | % | 7.29 | ||
Non-Hazardous Waste Incineration | metric tonnes | 15415 | 6786 | 7624 |
Non-Hazardous Waste Landfilling | metric tonnes | 2267 | 1140 | 1163 |
Non-Hazardous Waste Recycled | metric tonnes | 624 | 313 | 720 |
Paper Waste | % | 35.86 | ||
Total Non-Hazardous Waste Intensity (By Area) | metric tonnes/m² | 0.01 | 0.01 | 0.01 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2030 |
---|---|---|
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2021 | % | 22 |
Target Scope 1 and 2 Emissions Reduction Percentage by 2030 Compared to 2021 | % | 22 |
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 | 2021 | 2030 |
---|---|---|---|
Non-Hazardous Waste Intensity Reduction Compared to Last Year (By Area) | tonnes/m2 | 5 | |
Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 24 | |
Plastic Waste Reduction Percentage Compared to Last Year | % | 2429 |
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 | 2019 | 2020 | 2021 |
---|---|---|---|---|
Energy Consumption Intensity (By Area) | MWh/m² | 0.364 | 0.27 | 0.27 |
Percentage of Renewable Energy Consumption | % | 0.41 | 0.39 | |
Renewable Energy Consumption | MWh | 1560 | 1478 | |
Total Energy Consumption | MWh | 518668 | 380403 | 383628 |
Total Non-Renewable Fuel Consumption | MWh | 101673 | 51911 | 47770 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | 2021 |
---|---|---|---|---|
Municipal Water Consumption | m³ | 3480473 | 2129685 | 2119732 |
Recycled Water Usage | m³ | 50718 | 63120 | 147549 |
Total Water Withdrawal | m³ | 3531191 | 2192805 | 2267281 |
Water Consumption | m³ | 3531191 | 2192805 | 2267281 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2021 | 2030 |
---|---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % | 26 | |
Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % | 22 |
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 | 2019 | 2020 | 2021 |
---|---|---|---|---|
Number of Employees in Asia | 23161 | 19769 | 18197 | |
Number of Employees in Asia (Excluding China) | 5868 | 4551 | 3730 | |
Number of Employees in Europe | 965 | 711 | 760 | |
Number of Employees in Hong Kong | 858 | 723 | 647 | |
Number of Employees in Macau | 15570 | 13784 | 12760 | |
Number of Employees in Overseas | 6833 | 5262 | 4437 | |
Number of Female Employees | 11147 | 9600 | 8643 | |
Number of Male Employees | 12014 | 10169 | 9254 | |
Number of New Employees | 4919 | 795 | 786 | |
Number of New Employees (Female) | 1889 | 296 | 286 | |
Number of New Employees (Hong Kong) | 94 | 45 | 28 | |
Number of New Employees (Male) | 1830 | 317 | 500 | |
Number of New Employees (Overseas) | 237 | 58 | 203 | |
Number of Total Employees | 23161 | 19769 | 18197 | |
Percentage of Employees in Asia | % | 100 | 100 | 100 |
Percentage of Employees in Asia (Excluding China) | % | 25.35 | 23.03 | 20.49 |
Percentage of Employees in Hong Kong | % | 3.71 | 3.66 | 3.56 |
Percentage of Employees in Macau | % | 67.23 | 69.75 | 70.13 |
Percentage of Employees in Overseas | % | 29.5 | 26.64 | 24.38 |
Percentage of Female Employees | % | 48.14 | 48.53 | 49.15 |
Percentage of Male Employees | % | 51.86 | 51.47 | 50.85 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2019 | 2020 | 2021 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 10.57 | 18.47 | 13.21 |
Turnover Rate of Employees Aged Above 50 | % | 6.88 | 10.03 | 15.84 |
Turnover Rate of Employees Aged Below 30 | % | 19.93 | 35.14 | 25.43 |
Turnover Rate of Employees in Hong Kong | % | 22.28 | 76.76 | 35.27 |
Turnover Rate of Employees in Macau | % | 12.21 | 16.22 | 12.87 |
Turnover Rate of Employees in Overseas | % | 12.36 | 31.75 | 24.08 |
Turnover Rate of Female Employees | % | 12.3 | 19.08 | 14.95 |
Turnover Rate of Male Employees | % | 12.92 | 21.9 | 16.47 |
Lost days due to work injury.
Standard Indicator | Unit | 2019 | 2020 | 2021 |
---|---|---|---|---|
Lost Days Due to Work-related Injuries | days | 3477 | 1414 | 1339 |
Lost Time Injury Frequency Rate (LTIFR/LTIR) | per 1000000 hours | 15.24 | 7.31 | 7.75 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2021 |
---|---|---|
Percentage of Employees Trained | % | 95 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 | 2020 | 2021 |
---|---|---|---|---|
Average Training Hours (Female) | hours | 25.87 | 60.02 | 78 |
Average Training Hours (General Staff) | hours | 25.71 | 99.78 | 118.26 |
Average Training Hours (Male) | hours | 24.32 | 59.96 | 62.58 |
Average Training Hours (Senior Management) | hours | 24.49 | 20.2 | 22.32 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2021 |
---|---|---|
Number of Total Suppliers | suppliers | 54 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2019 | 2020 | 2021 |
---|---|---|---|---|
Donations to Disaster Relief Contributions to Public Welfare | million HK$ | 9.7 | ||
Number of Participations in Volunteer Activities | 16000 | |||
Total Social Investment | million HK$ | 133.4 | 264 | 170.4 |