2020 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Emissions from stationary fuel combustion | metric tonnes of CO2e | 8449 | 8766 | 5832 | 12 |
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 |
|---|---|---|---|---|---|
| Biogenic emissions | metric tonnes of CO2e | 175 | 310 | 150 | 12 |
| Emissions from mobile fuel combustion | metric tonnes of CO2e | 9201 | 12883 | 5965 | 12 |
| Fugitive emissions from refrigerants | metric tonnes of CO2e | 3998 | 8725 | 5095 | 12 |
| GHG emissions avoided due to electricity reduction | CO2-e tonnes | 24000 | 11 | ||
| GHG emissions avoided due to electricity reduction (equivalent to cars taken off the road for a year) | cars | 5200 | 11 | ||
| Main properties share of Melco International total GHG emissions | % | over 95 | 11 | ||
| Scope 1 emissions | metric tonnes of CO2e | 21668 | 30374 | 16331 | 12 |
| Scope 2 emissions (location-based) | metric tonnes of CO2e | 270660 | 264983 | 207018 | 12 |
| Scope 2 emissions (market-based) | metric tonnes of CO2e | 4382 | 2 | 655 | 12 |
| Total Scope 1 and 2 emissions (market-based) | metric tonnes of CO2e | 26000 | 30428 | 16986 | 12 |
| Total Scope 1 and 2 emissions intensity (market-based) (in metric tonnes of CO2e/m2) | 0.02 | 0.02 | 0.01 | 12 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Total waste generated | metric tonnes | 15162 | 18394 | 8275 | 15 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Composting waste diversion | metric tonnes | 71 | 88 | 36 | 15 |
| Food waste composted as percentage of total waste stream | % | 14 | 14 | ||
| Food waste composted in Macau | tonnes | 36 | 14 | ||
| Food waste diverted from landfill at City of Dreams Macau | kg | 7800 | 14 | ||
| Food waste diverted from landfill at City of Dreams Macau as percentage of total food waste | % | 67 | 14 | ||
| Food waste diverted from landfill at City of Dreams Manila | tonnes CO2-eq | 300 | 14 | ||
| Number of smartphones equivalent to food waste diverted from landfill at City of Dreams Manila | smartphones | 35000000 | 14 | ||
| Recycling waste diversion | metric tonnes | 1112 | 1536 | 313 | 15 |
| Reduction in average grams per cover of food waste in Macau | % | 13 | 14 | ||
| Single-use plastic (SUP) disposable items properly recycled in Macau F&B operations | kg | 6480 | 14 | ||
| Waste generation % change | -55% | 15 | |||
| Waste generation intensity | tonnes/m² | 0.01 | 0.01 | 0.01 | 15 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| GHG emissions decrease (main properties, absolute) | % | -23 | 11 |
| GHG emissions decrease (main properties, intensity) | % | -4 | 11 |
| Group GHG emissions reduction (absolute and intensity terms) | % | -24 | 11 |
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 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Incineration waste diversion | metric tonnes | 15862 | 15415 | 6786 | 15 |
| Landfill waste diversion | metric tonnes | 2102 | 2267 | 1140 | 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 | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Electricity consumption from non-renewable sources | MWh | 426777 | 416996 | 326937 | 12 |
| Energy intensity (in MWh/m2) | 0.36 | 0.37 | 0.27 | 12 | |
| Fuel consumption from non-renewable sources | MWh | 89827 | 106173 | 51911 | 12 |
| Total energy consumption | MWh | 508604 | 518668 | 378848 | 12 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Municipal water use | cubic metres | 3300118 | 3440473 | 2128685 | 15 |
| Recycled water use | cubic metres | 50718 | 50718 | 63120 | 15 |
| Total water consumption | cubic metres | 3356836 | 3531191 | 2192805 | 15 |
| Water intensity (per floor area) | cubic metres/m² | 2.36 | 2.49 | 1.56 | 15 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Electricity consumption reduction | MWh | 34342 | 11 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Properties in Macau and Hong Kong with ISO 14001 and ISO 50001 certifications | entire portfolio | 11 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | 2020 | 2030 | Report Pages |
|---|---|---|---|---|---|
| % of Employees in Corporate and Centralized Services (including Hong Kong, Macau and Japan) | 3% | 19 | |||
| % of Employees in Cyprus Operations | 4% | 19 | |||
| % of Employees in Macau Properties (including City of Dreams, Studio City, Altira and Mocha Clubs) | 70% | 19 | |||
| % of Employees in Manila Property | 23% | 19 | |||
| Board Members by Age - Between the age of 30 and 50 | % | 91 | 89 | 21 | |
| Board Members by Age - Over 50 years of age | % | 9 | 11 | 21 | |
| Board Members by Gender - Female | % | 24 | 25 | 21 | |
| Board Members by Gender - Male | % | 76 | 75 | 21 | |
| Corporate Executive Committees by Age - Between the age of 30 and 50 | % | 39 | 47 | 21 | |
| Corporate Executive Committees by Age - Over 50 years of age | % | 61 | 53 | 21 | |
| Corporate Executive Committees by Gender - Female | % | 28 | 28 | 21 | |
| Corporate Executive Committees by Gender - Male | % | 72 | 72 | 21 | |
| Management by Age - Between the age of 30 and 50 | % | 81 | 82 | 21 | |
| Management by Age - Over 50 years of age | % | 17 | 17 | 21 | |
| Management by Age - Under 30 years of age | % | 2 | 1 | 21 | |
| Management by Gender - Female | % | 39 | 41 | 21 | |
| Management by Gender - Male | % | 61 | 59 | 21 | |
| Management roles filled with female candidates | 50% | 18 | |||
| Managers hired from the local community | 95% | 18 | |||
| New Hires by Gender - Female | 296 | 19 | |||
| New Hires by Gender - Male | 317 | 19 | |||
| New Hires by Location - Hong Kong | 45 | 19 | |||
| New Hires by Location - Hong Kong Rate | 15.80% | 19 | |||
| New Hires by Location - Macau | 386 | 19 | |||
| New Hires by Location - Macau Rate | 2.70% | 19 | |||
| New Hires by Location - Manila | 124 | 19 | |||
| New Hires by Location - Manila Rate | 2.70% | 19 | |||
| New Hires by Location - Other locations | 58 | 19 | |||
| New Hires by Location - Other locations Rate | 1.70% | 19 | |||
| Non-management by Age - Between the age of 30 and 50 | % | 57 | 60 | 21 | |
| Non-management by Age - Over 50 years of age | % | 14 | 17 | 21 | |
| Non-management by Age - Under 30 years of age | % | 29 | 23 | 21 | |
| Non-management by Gender - Female | % | 40 | 40 | 21 | |
| Non-management by Gender - Male | % | 60 | 60 | 21 | |
| Number of employees in Corporate and Centralized Services (including Hong Kong, Macau and Japan) - Female | 310 | 19 | |||
| Number of employees in Corporate and Centralized Services (including Hong Kong, Macau and Japan) - Male | 413 | 19 | |||
| Number of employees in Cyprus Operations - Female | 289 | 19 | |||
| Number of employees in Cyprus Operations - Male | 422 | 19 | |||
| Number of employees in Macau Properties (including City of Dreams, Studio City, Altira and Mocha Clubs) - Female | 6969 | 19 | |||
| Number of employees in Macau Properties (including City of Dreams, Studio City, Altira and Mocha Clubs) - Male | 6815 | 19 | |||
| Number of employees in Manila Property - Female | 2092 | 19 | |||
| Number of employees in Manila Property - Male | 2459 | 19 | |||
| Senior Management Representation from Local Communities - Cyprus | 40% | 19 | |||
| Senior Management Representation from Local Communities - Hong Kong | 69% | 19 | |||
| Senior Management Representation from Local Communities - Macau | 82% | 19 | |||
| Senior Management Representation from Local Communities - Manila | 43% | 19 | |||
| Senior Management Representation from Local Communities - Non-local Cyprus | 60% | 19 | |||
| Senior Management Representation from Local Communities - Non-local Hong Kong | 31% | 19 | |||
| Senior Management Representation from Local Communities - Non-local Macau | 18% | 19 | |||
| Senior Management Representation from Local Communities - Non-local Manila | 57% | 19 | |||
| Senior Management Representation from Local Communities - Total Local | 71% | 19 | |||
| Senior Management Representation from Local Communities - Total Non-local | 29% | 19 | |||
| Total employees in Corporate and Centralized Services (including Hong Kong, Macau and Japan) | 723 | 19 | |||
| Total employees in Cyprus Operations | 711 | 19 | |||
| Total employees in Macau Properties (including City of Dreams, Studio City, Altira and Mocha Clubs) | 13784 | 19 | |||
| Total employees in Manila Property | 4551 | 19 | |||
| Total workforce, Female | 6964 | 6222 | 18 | ||
| Total workforce, Male | 15114 | 13548 | 18 | ||
| Total workforce, Total | 22078 | 19770 | 18 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Employee Turnover by Age - Between the age of 30 and 50 | 2568 | 19 | |
| Employee Turnover by Age - Between the age of 30 and 50 Rate | 18.50% | 19 | |
| Employee Turnover by Age - Over 50 years of age | 339 | 19 | |
| Employee Turnover by Age - Over 50 years of age Rate | 10.00% | 19 | |
| Employee Turnover by Age - Under 30 years of age | 1462 | 19 | |
| Employee Turnover by Age - Under 30 years of age Rate | 35.10% | 19 | |
| Employee Turnover by Gender - Female | 1832 | 19 | |
| Employee Turnover by Gender - Female Rate | 19.10% | 19 | |
| Employee Turnover by Gender - Male | 2227 | 19 | |
| Employee Turnover by Gender - Male Rate | 21.90% | 19 | |
| Employee Turnover by Location - Hong Kong | 218 | 19 | |
| Employee Turnover by Location - Hong Kong Rate | 76.80% | 19 | |
| Employee Turnover by Location - Macau | 2300 | 19 | |
| Employee Turnover by Location - Macau Rate | 16.90% | 19 | |
| Employee Turnover by Location - Manila | 1445 | 19 | |
| Employee Turnover by Location - Manila Rate | 31.80% | 19 | |
| Employee Turnover by Location - Other Locations | 96 | 19 | |
| Employee Turnover by Location - Other Locations Rate | 12.80% | 19 | |
| New Hires by Age - Between the age of 30 and 50 | 280 | 19 | |
| New Hires by Age - Between the age of 30 and 50 Rate | 2.30% | 19 | |
| New Hires by Age - Over 50 years of age | 80 | 19 | |
| New Hires by Age - Over 50 years of age Rate | 2.40% | 19 | |
| New Hires by Age - Under 30 years of age | 253 | 19 | |
| New Hires by Age - Under 30 years of age Rate | 6.10% | 19 | |
| New Hires by Gender - Female Rate | 3.10% | 19 | |
| New Hires by Gender - Male Rate | 3.10% | 19 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
|---|---|---|---|---|---|
| The Group's Total Lost-time Injury Frequency Rate | 1.74 | 1.54 | 0.83 | 23 | |
| The Group's Total Recordable Injury Rate | 3.48 | 3.05 | 1.48 | 23 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Properties in Macau and Hong Kong with ISO 41001 certification | entire portfolio | 11 |
Number of suppliers by geographical region.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Number of suppliers by geographical region | suppliers | 4000 | 40 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2020 | Report Pages |
|---|---|---|---|
| Description of consumer data protection and privacy policies, how they are implemented and monitored | No significant data breaches or substantiated complaints | 41 |
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) | metric tonnes of CO2e | 21668 | 30374 | 16331 |
| HFC Emissions | metric tonnes of CO2e | 3998 | 8725 | 5095 |
| Indirect Energy Emissions (Scope 2) | metric tonnes of CO2e | 270660 | 264983 | 207018 |
| Mobile Combustion Emissions | metric tonnes of CO2e | 9201 | 12883 | 5965 |
| Total GHG Emissions | metric tonnes of CO2e | 26050 | 30376 | 16986 |
| Total GHG Emissions Intensity (By Area) | metric tonnes of CO2e/m2 | 0.02 | 0.02 | 0.01 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Total Hazardous Waste | metric tonnes | 15162 | 18394 | 8275 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Non-Hazardous Waste Recycled | metric tonnes | 1112 | 1536 | 313 |
| Total Non-Hazardous Waste Intensity (By Area) | tonnes/m² | 0.01 | 0.01 | 0.01 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| GHG Emissions Reduction Percentage Compared to Last Year | % | -23 |
| Percentage of Reduction in GHG Intensity Compared to Last Year | % | -4 |
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 | 2019 | 2020 |
|---|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 3 | 56.6 |
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 |
|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | MWh/m2 | 0.36 | 0.37 | 0.27 |
| Purchased Electricity | MWh | 426777 | 416996 | 326937 |
| Total Direct Energy Consumption | MWh | 89827 | 106173 | 51911 |
| Total Energy Consumption | MWh | 508604 | 518668 | 378848 |
| Total Indirect Energy Consumption | MWh | 426777 | 416996 | 326937 |
| Total Non-Renewable Fuel Consumption | MWh | 89827 | 106173 | 51911 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Municipal Water Consumption | cubic metres | 3300118 | 3440473 | 2128685 |
| Recycled Water Percentage | percent | 1.51 | 1.44 | 2.88 |
| Recycled Water Usage | cubic metres | 50718 | 50718 | 63120 |
| Water Consumption | cubic metres | 3356836 | 3531191 | 2192805 |
| Water Consumption Intensity (By Revenue) | cubic metres/m² | 2.36 | 2.49 | 1.56 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Electricity Usage Reduction Compared to Last Year | MWh | 34342 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 | 2020 |
|---|---|---|---|
| Number of Employees in Asia | 19059 | ||
| Number of Employees in Asia (Excluding China) | 4551 | ||
| Number of Employees in Cyprus | 711 | ||
| Number of Employees in Europe | 711 | ||
| Number of Employees in Hong Kong | 723 | ||
| Number of Employees in Japan | 723 | ||
| Number of Employees in Macau | 13784 | ||
| Number of Employees in Philippines | 4551 | ||
| Number of Female Employees | 6964 | 6222 | |
| Number of Male Employees | 15114 | 13548 | |
| Number of New Employees | 613 | ||
| Number of New Employees (Female) | 296 | ||
| Number of New Employees (Hong Kong) | 45 | ||
| Number of New Employees (Male) | 317 | ||
| Number of Total Employees | 22078 | 19770 | |
| Percentage of Employees Aged 30-50 | % | 57 | 60 |
| Percentage of Employees Aged Above 50 | % | 14 | 17 |
| Percentage of Employees Aged Below 30 | % | 29 | 23 |
| Percentage of Employees in Asia (Excluding China) | % | 23 | |
| Percentage of Employees in Europe | % | 4 | |
| Percentage of Employees in Hong Kong | % | 3 | |
| Percentage of Employees in Macau | % | 70 | |
| Percentage of Female Employees | % | 31.55 | 31.46 |
| Percentage of Male Employees | % | 68.45 | 68.54 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 18.5 |
| Turnover Rate of Employees Aged Above 50 | % | 10 |
| Turnover Rate of Employees Aged Below 30 | % | 35.1 |
| Turnover Rate of Employees in Hong Kong | % | 76.8 |
| Turnover Rate of Employees in Macau | % | 16.9 |
| Turnover Rate of Female Employees | % | 19.1 |
| Turnover Rate of Male Employees | % | 21.9 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 | 2020 |
|---|---|---|---|---|
| Lost Time Injury Frequency Rate (LTIFR/LTIR) | 1.74 | 1.54 | 0.83 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit |
|---|---|
| Percentage of Employees Trained | percent |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Number of Total Suppliers | suppliers | 4000 |