Environmental, Social and Governance Report 2021 of First Pacific Company Limited
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 | 2000 | 2001 | 2020 | 2021 | 2030 | Report Pages |
---|---|---|---|---|---|---|---|
2021 GHG Emissions Breakdown by Scope - Scope 1 (Direct energy emissions) | 8% | 32 | |||||
2021 GHG Emissions Breakdown by Scope - Scope 2 (Indirect energy emissions) | 78% | 32 | |||||
2021 GHG Emissions Breakdown by Scope - Scope 3 (Indirect emissions from paper waste disposal and business travel) | 14% | 32 | |||||
Decrease in GHG emissions compared to 2013 at Head Office in Hong Kong | % | 73.7 | 33 | ||||
Decrease in GHG emissions compared to 2020 at Head Office in Hong Kong | % | 16.5 | 33 | ||||
GHG emissions (Newly Certified, ND) | Not available | Not available | 52 | ||||
GHG emissions (Scope 1), Consumer Food Products | tCO2e | 384 | 315 | 51 | |||
GHG emissions (Scope 1), Indofood | tCO2e | 365 | 362 | 51 | |||
GHG emissions (Scope 1), MPIC Head Office | tCO2e | 553 | 200 | 51 | |||
GHG emissions (Scope 1), Power | tCO2e | 1797689 | 1628069 | 51 | |||
GHG emissions (Scope 1), Telecommunications | tCO2e | 3368265 | 3268312 | 51 | |||
GHG emissions (Scope 1+2) | 18 | 18 | 52 | ||||
GHG emissions (Scope 1+2+3) | 399 | 399 | 52 | ||||
GHG emissions (Scope 2), Consumer Food Products | tCO2e | 0.1 | 0.1 | 51 | |||
GHG emissions (Scope 2), Indofood | tCO2e | 80 | 80 | 51 | |||
GHG emissions (Scope 2), MPIC Head Office | tCO2e | 27 | 51 | ||||
GHG emissions (Scope 2), Power | tCO2e | 982040 | 914656 | 51 | |||
GHG emissions (Scope 2), Telecommunications | tCO2e | 626630 | 668831 | 51 | |||
GHG emissions (Scope 3) | 238 | 238 | 52 | ||||
GHG emissions (Scope 3), Indofood | Not disclosed | Not disclosed | 51 | ||||
GHG emissions (Scope 3), MPIC Head Office | tCO2e | 127 | 100 | 51 | |||
GHG emissions (Scope 3), Power | tCO2e | 7971 | 272687 | 51 | |||
GHG emissions (Scope 3), Telecommunications | tCO2e | 3044505 | 2647481 | 51 | |||
GHG intensity by gross floor area at Head Office in Hong Kong | kg CO2-e/ft² | 6.2 | 33 | ||||
Scope 1 GHG emissions as percentage of total at Head Office in Hong Kong | % | 7.8 | 33 | ||||
Scope 2 GHG emissions as percentage of total at Head Office in Hong Kong | % | 77.9 | 33 | ||||
Scope 3 GHG emissions as percentage of total at Head Office in Hong Kong | % | 14.3 | 33 | ||||
Target reduction in Scope 1 and Scope 2 greenhouse gas emissions | 40% | 40 | |||||
Total GHG emissions at Head Office in Hong Kong | tonnes CO2-e | 79.7 | 33 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Total amount of recyclable paper collected by contractor | kg | 1536 | 2532 | 34 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2021 | 2022 | 2030 | Report Pages |
---|---|---|---|---|---|
Emission intensity reduction target compared to 2019 baseline | percent | 30 | 45 | ||
GHG emissions reduction target compared with 2019 total | 10% | 15% | 34 |
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 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|---|
Electricity consumption at the First Pacific head office - Energy use | kWh | 91298 | 92027 | 86930 | 84519 | 87519 | 32 | |
Renewable energy certificates (RECs) purchased from HK Electric | kWh | 10000 | 34 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Low intensity data - Water withdrawal (municipal water supplied) | m3 | 8456 | 43 | 54 |
Low intensity data - Water withdrawal (rainwater) | m3 | 29 | 78106 | 54 |
Low intensity data - Water withdrawal (seawater) | m3 | 42398 | 48905 | 54 |
Low intensity data - Water withdrawal (surface water) | m3 | 12384 | 13911 | 54 |
Low intensity data - Water withdrawal (total) | m3 | 63267 | 92000 | 54 |
Low intensity data - Water withdrawal (wastewater recycled) | m3 | 60759 | 45487 | 54 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | end of decade | Report Pages |
---|---|---|---|
Meralco target for clean electricity generation | MW | 1500 | 45 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2000 | 2001 | 2020 | 2021 | Report Pages |
---|---|---|---|---|---|---|
Forest land (hectares) | ha | 29 | 29 | 52 | ||
Forest land (hectares) - B) Source: Government forest statistics | ha | 1086.212 | 1086.212 | 52 | ||
Forest land (hectares) - By type: Planted | ha | 239 | 239 | 52 | ||
Mineral Reserves | US$ million | 483.5 | 447.7 | 54 | ||
Natural Resources Indogiri | 388.8 | 370.5 | 54 |
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 | 2021 | Report Pages |
---|---|---|---|---|
Total borrowings, Consumer Food Products | US$ million | 6.7 | 1.9 | 51 |
Total borrowings, First Pacific | US$ million | 0.6 | 1.1 | 51 |
Total borrowings, Indofood | US$ million | 121.1 | 153.5 | 51 |
Total borrowings, MPIC Head Office | US$ million | 637 | 187 | 51 |
Total borrowings, Power | US$ million | 1542 | 1942 | 51 |
Total borrowings, R-P | US$ million | 8 | 8 | 51 |
Total borrowings, Telecommunications | US$ million | 2021 | 1837 | 51 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Business Retail Outlets - 30-50 years old | % | 59 | 59 | 58 |
Business Retail Outlets - Female | % | 8 | 8 | 58 |
Business Retail Outlets - Male | % | 92 | 92 | 58 |
Business Retail Outlets - Number of employees | number | 477 | 480 | 58 |
Business Retail Outlets - Over 50 years old | % | 41 | 41 | 58 |
Consolidated Real Estates - 30 years old and below | % | 41 | 24 | 57 |
Consolidated Real Estates - 30-50 years old | % | 48 | 41 | 57 |
Consolidated Real Estates - 50 years old and over | % | 1 | 5 | 57 |
Consolidated Real Estates - Female | %, number | 27 | 21 | 57 |
Consolidated Real Estates - Male | %, number | 77 | 183 | 57 |
Employees 30-50 years old | number | 965 | 635 | 62 |
Employees Full Time | number | 1721 | 1432 | 62 |
Employees by employment type - Full time (Industrial) | number | 94339 | 94339 | 56 |
Employees by employment type - Full time (MVP Head Office) | number | 39 | 39 | 56 |
Employees by employment type - Full time (Manila Water) | number | 11406 | 13211 | 56 |
Employees by employment type - Full time (Mediaquest) | number | 140 | 140 | 56 |
Employees by employment type - Full time (PLDT) | number | 17571 | 17571 | 56 |
Employees by employment type - Full time (PXP) | number | 50 | 50 | 56 |
Employees by employment type - Full time (Philex) | number | 140 | 140 | 56 |
Employees by employment type - Full time (RHI) | number | 294 | 294 | 56 |
Employees over 50 years old | number | 47 | 132 | 62 |
Employees under 30 years old | number | 709 | 665 | 62 |
Employees under management contract | number | 1721 | 1432 | 62 |
Employees with disabilities | number | 37 | 37 | 62 |
Employees with life contract | number | 1721 | 1432 | 62 |
Employees, Consumer Food Products | 67 | 57 | 51 | |
Employees, First Pacific | 48 | 80 | 51 | |
Employees, Indofood | 26717 | 28417 | 51 | |
Employees, MPIC Head Office | 27 | 24 | 51 | |
Employees, Power | 2849 | 2941 | 51 | |
Employees, R-P | 282 | 225 | 51 | |
Employees, Telecommunications | 15379 | 15455 | 51 | |
Female Employees | number | 681 | 635 | 62 |
Female employees (Industrial) | number | 38419 | 39184 | 56 |
Female employees (MVP Head Office) | number | 19 | 19 | 56 |
Female employees (Manila Water) | number | 3938 | 4065 | 56 |
Female employees (Mediaquest) | number | 50 | 50 | 56 |
Female employees (PLDT) | number | 5367 | 5367 | 56 |
Female employees (PXP) | number | 17 | 17 | 56 |
Female employees (Philex) | number | 51 | 51 | 56 |
Female employees (RHI) | number | 294 | 294 | 56 |
First Pacific Head Office Employee Compensation Mean | US dollars | 381196 | 68 | |
First Pacific Head Office Employee Compensation Median | US dollars | 143912 | 68 | |
First Pacific Head Office Gender Bonus Gap Mean | percent | 74.6% | 68 | |
First Pacific Head Office Gender Bonus Gap Median | percent | 52.5% | 68 | |
First Pacific Head Office Gender Pay Gap Median | percent | 43.5% | 68 | |
First Pacific Head Office Gender Salary Gap Lower Middle Salary Quartile | percent | 13.4% | 5.3% | 68 |
First Pacific Head Office Gender Salary Gap Lower Salary Quartile | percent | 2.6% | 4.7% | 68 |
First Pacific Head Office Gender Salary Gap Top Salary Quartile | percent | 48.6% | 65.2% | 68 |
First Pacific Head Office Gender Salary Gap Upper Middle Salary Quartile | percent | -19.0% | 8.6% | 68 |
First Pacific Head Office Mean Gender Salary Gap | percent | 68.6% | 71.5% | 68 |
First Pacific Head Office Ratio of CEO Compensation to Median | times | 25.25 | 68 | |
First Pacific Head Office Workforce Employees Aged 30-50 | employees | 10 | 68 | |
First Pacific Head Office Workforce Employees Older than 50 | employees | 29 | 68 | |
First Pacific Head Office Workforce Employees in Hong Kong SAR | employees | 35 | 68 | |
First Pacific Head Office Workforce Employees in The Philippines | employees | 4 | 68 | |
First Pacific Head Office Workforce Total Employees | employees | 39 | 68 | |
Head office - 30-50 years old | % | 48 | 58 | |
Head office - Female | %, number | 2 | 39 | 57 |
Head office - Male | %, number | 1650 | 100 | 57, 58 |
Head office - Over 50 years old | % | 52 | 58 | |
MREIT Head Office - 30 years old and below | % | 29 | 27 | 57 |
MREIT Head Office - 30-50 years old | % | 71 | 73 | 57 |
MREIT Head Office - Female | %, number | 2 | 33 | 57 |
MREIT Head Office - Male | %, number | 5 | 67 | 57 |
MREIT Head office - 30-50 years old | % | 54 | 58 | |
MREIT Head office - Female | % | 38 | 58 | |
MREIT Head office - Male | % | 62 | 58 | |
MREIT Head office - Number of employees | number | 13 | 58 | |
MREIT Head office - Over 50 years old | % | 46 | 58 | |
Male Employees | number | 661 | 635 | 62 |
Male employees (Industrial) | number | 55920 | 55155 | 56 |
Male employees (MVP Head Office) | number | 35 | 35 | 56 |
Male employees (Manila Water) | number | 7468 | 9146 | 56 |
Male employees (Mediaquest) | number | 90 | 90 | 56 |
Male employees (PLDT) | number | 12204 | 12204 | 56 |
Male employees (PXP) | number | 33 | 33 | 56 |
Male employees (Philex) | number | 89 | 89 | 56 |
Male employees (RHI) | number | 1374 | 1374 | 56 |
Manufacture - 30-50 years old | % | 29 | 58 | |
Manufacture - Female | % | 15 | 58 | |
Manufacture - Male | % | 85 | 58 | |
Manufacture - Number of employees | number | 105 | 94 | 58 |
Manufacture - Over 50 years old | % | 63 | 58 | |
Manufacture - Under 30 years old | % | 8 | 58 | |
Manufacture Industrial - 30 years old and below | % | 36 | 35 | 57 |
Manufacture Industrial - 30-50 years old | % | 50 | 56 | 57 |
Manufacture Industrial - 50 years old and over | % | 14 | 9 | 57 |
Manufacture Industrial - Female | %, number | 185 | 386 | 57 |
Manufacture Industrial - Male | %, number | 86 | 2841 | 57 |
Marine sector, Marine Engineer, number | number | 197 | 283 | 64 |
Marine sector, Master Mariner, number | number | 116 | 115 | 64 |
Marine sector, Total head WPE, number | number | 523 | 605 | 64 |
New Hires - MVP - By Age - 30-50 years old | number | 36 | 43 | 63 |
New Hires - MVP - By Age - Over 50 years old | number | 3 | 3 | 63 |
New Hires - MVP - By Age - Under 30 years old | number | 34 | 35 | 63 |
New Hires - MVP - By Gender - Female | number | 28 | 25 | 63 |
New Hires - MVP - By Gender - Male | number | 45 | 56 | 63 |
New Hires - Martell - By Age - 30-50 years old | number | 45 | 12 | 63 |
New Hires - Martell - By Age - Over 50 years old | number | 2 | 1 | 63 |
New Hires - Martell - By Age - Under 30 years old | number | 38 | 72 | 63 |
New Hires - Martell - By Gender - Female | number | 36 | 24 | 63 |
New Hires - Martell - By Gender - Male | number | 49 | 61 | 63 |
New Hires - Martell Insurance - By Age - 30-50 years old | number | 48 | 88 | 63 |
New Hires - Martell Insurance - By Age - Over 50 years old | number | 4 | 5 | 63 |
New Hires - Martell Insurance - By Age - Under 30 years old | number | 125 | 157 | 63 |
New Hires - Martell Insurance - By Gender - Female | number | 25 | 57 | 63 |
New Hires - Martell Insurance - By Gender - Male | number | 152 | 233 | 63 |
New Hires - Plant - By Age - 30-50 years old | number | 8 | 24 | 63 |
New Hires - Plant - By Age - Over 50 years old | number | 1 | 2 | 63 |
New Hires - Plant - By Age - Under 30 years old | number | 23 | 43 | 63 |
New Hires - Plant - By Gender - Female | number | 4 | 4 | 63 |
New Hires - Plant - By Gender - Male | number | 28 | 65 | 63 |
New Hires - RME - By Age - 30-50 years old | number | 13 | 6 | 63 |
New Hires - RME - By Age - Over 50 years old | number | 1 | 1 | 63 |
New Hires - RME - By Age - Under 30 years old | number | 16 | 13 | 63 |
New Hires - RME - By Gender - Female | number | 10 | 9 | 63 |
New Hires - RME - By Gender - Male | number | 20 | 11 | 63 |
PJP - 30-50 years old | % | 43 | 58 | |
PJP - Female | % | 16 | 58 | |
PJP - Male | % | 84 | 58 | |
PJP - Number of employees | number | 18 | 19 | 58 |
PJP - Over 50 years old | % | 48 | 58 | |
PJP - Under 30 years old | % | 9 | 58 | |
Power - 30-50 years old | % | 43 | 58 | |
Power - Female | % | 14 | 58 | |
Power - Male | % | 86 | 58 | |
Power - Number of employees | number | 156 | 149 | 58 |
Power - Over 50 years old | % | 51 | 58 | |
Power - Under 30 years old | % | 6 | 58 | |
Power P2 - 30 years old and below | % | 67 | 29 | 57 |
Power P2 - 30-50 years old | % | 33 | 71 | 57 |
Power P2 - Female | %, number | 1 | 2 | 57 |
Power P2 - Male | %, number | 8 | 17 | 57 |
Revenue, Consumer Food Products | US$ million | 1838.8 | 1903.9 | 51 |
Revenue, First Pacific | US$ million | 186.5 | 2044.1 | 51 |
Revenue, Indofood | US$ million | 5894.9 | 6549.5 | 51 |
Revenue, MPIC Head Office | US$ million | 317.2 | 314.5 | 51 |
Revenue, Power | US$ million | 5148.8 | 5435.5 | 51 |
Revenue, R-P | US$ million | 1138.4 | 1394.4 | 51 |
Revenue, Telecommunications | US$ million | 1969.7 | 2544.1 | 51 |
Telecommunications PLDT - 30 years old and below | % | 12 | 22 | 57 |
Telecommunications PLDT - 30-50 years old | % | 86 | 76 | 57, 58 |
Telecommunications PLDT - 50 years old and over | % | 1 | 1 | 57 |
Telecommunications PLDT - Female | %, number | 15 | 299 | 57, 58 |
Telecommunications PLDT - Male | %, number | 85 | 61 | 57, 58 |
Telecommunications PLDT - Number of employees | number | 4651 | 4654 | 58 |
Telecommunications PLDT - Over 50 years old | % | 35 | 58 | |
Telecommunications PLDT - Under 30 years old | % | 10 | 58 | |
Total Head Count (HPC) | number | 1721 | 1432 | 62 |
Total Head Count (HPC) Mineral Processing | number | 1028 | 922 | 62 |
Total Head Count (HPC) Mining | number | 1633 | 1541 | 62 |
Total Head Count (HPC) Natural Resources | number | 39450 | 39388 | 62 |
Total Head Count (HPC) Natural Resources Mining | number | 39450 | 39388 | 62 |
Total Head Count (HPC) Plant | number | 1884 | 1910 | 62 |
Total Head Count (HPC) Transportation RME | number | 1189 | 1122 | 62 |
Total assets, Consumer Food Products | US$ million | 119.8 | 113 | 51 |
Total assets, First Pacific | US$ million | 179.2 | 193.3 | 51 |
Total assets, Indofood | US$ million | 6901 | 8530.3 | 51 |
Total assets, MPIC Head Office | US$ million | 316 | 315 | 51 |
Total assets, Power | US$ million | 5948.5 | 6545.7 | 51 |
Total assets, R-P | US$ million | 137 | 117.5 | 51 |
Total assets, Telecommunications | US$ million | 5138 | 5360 | 51 |
Total employees (Industrial) | number | 94339 | 94339 | 56 |
Total employees (MVP Head Office) | number | 54 | 54 | 56 |
Total employees (Manila Water) | number | 11406 | 13211 | 56 |
Total employees (Mediaquest) | number | 140 | 140 | 56 |
Total employees (PLDT) | number | 17571 | 17571 | 56 |
Total employees (PXP) | number | 50 | 50 | 56 |
Total employees (Philex) | number | 140 | 140 | 56 |
Total employees (RHI) | number | 665 | 665 | 56 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Business Retail Outlets - Turnover | % | 3 | 3 | 58 |
Marine sector, Turnover, % | % | 0% | 0% | 64 |
Telecommunications PLDT - Turnover | % | 5 | 5 | 58 |
Turnover - MVP - By Age - 30-50 years old | number | 61 | 86 | 63 |
Turnover - MVP - By Age - Over 50 years old | number | 37 | 45 | 63 |
Turnover - MVP - By Age - Under 30 years old | number | 53 | 88 | 63 |
Turnover - MVP - By Gender - Female | number | 46 | 70 | 63 |
Turnover - MVP - By Gender - Male | number | 105 | 149 | 63 |
Turnover - Martell - By Age - 30-50 years old | number | 56 | 75 | 63 |
Turnover - Martell - By Age - Over 50 years old | number | 28 | 30 | 63 |
Turnover - Martell - By Age - Under 30 years old | number | 35 | 92 | 63 |
Turnover - Martell - By Gender - Female | number | 35 | 51 | 63 |
Turnover - Martell - By Gender - Male | number | 84 | 146 | 63 |
Turnover - Martell Insurance - By Age - 30-50 years old | number | 85 | 173 | 63 |
Turnover - Martell Insurance - By Age - Over 50 years old | number | 61 | 27 | 63 |
Turnover - Martell Insurance - By Age - Under 30 years old | number | 86 | 133 | 63 |
Turnover - Martell Insurance - By Gender - Female | number | 57 | 119 | 63 |
Turnover - Martell Insurance - By Gender - Male | number | 175 | 214 | 63 |
Turnover - Plant - By Age - 30-50 years old | number | 13 | 16 | 63 |
Turnover - Plant - By Age - Over 50 years old | number | 1 | 4 | 63 |
Turnover - Plant - By Age - Under 30 years old | number | 15 | 25 | 63 |
Turnover - Plant - By Gender - Female | number | 3 | 2 | 63 |
Turnover - Plant - By Gender - Male | number | 26 | 43 | 63 |
Turnover - RME - By Age - 30-50 years old | number | 18 | 9 | 63 |
Turnover - RME - By Age - Over 50 years old | number | 4 | 1 | 63 |
Turnover - RME - By Age - Under 30 years old | number | 11 | 13 | 63 |
Turnover - RME - By Gender - Female | number | 8 | 7 | 63 |
Turnover - RME - By Gender - Male | number | 25 | 16 | 63 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Fatality rate (per 1000000 hours worked) | 0.015 | 38 | ||
High-consequence injury rate (per 1000000 hours worked) | 0.025 | 38 | ||
Occupational Health and Safety - Fatality rate | 0.0025 | 0.0015 | 59 | |
Occupational Health and Safety - High-consequence injury rate (total workforce) | 0.4 | 0.1 | 59 | |
Types of injury and rates of injury, occupational diseases, lost days, and absenteeism, and number of work-related fatalities | No fatalities and work-related injury were recorded | 80 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Employees operating sites obtaining at least one safety certification (internationally based standard) | number | 156 | 148 | 58 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Trainees | number | 379 | 162 | 62 |
Trainees (Female) | number | 150 | 68 | 62 |
Trainees (Male) | number | 229 | 94 | 62 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Average training hours per employee - Customer Fixed Network (Indocel) | hours | 9 | 4.2 | 59 |
Average training hours per employee - Head Office | hours | 5 | 13 | 59 |
Average training hours per employee - MPK Head Office | hours | 24 | 21.6 | 59 |
Average training hours per employee - Materials | hours | 16.1 | 22.7 | 59 |
Average training hours per employee - P2P | hours | 3.3 | 7.2 | 59 |
Average training hours per employee - Power | hours | 10.6 | 18.7 | 59 |
Average training hours per employee - RM | hours | 4.2 | 8.3 | 59 |
Percentage of employees receiving training - Customer Fixed Network (Indocel) | % | 29% | 47% | 59 |
Percentage of employees receiving training - Head Office | % | 98% | 100% | 59 |
Percentage of employees receiving training - MPK Head Office | % | 98.20% | 99.80% | 59 |
Percentage of employees receiving training - Materials | % | 31% | 35% | 59 |
Percentage of employees receiving training - P2P | % | 68% | 62% | 59 |
Percentage of employees receiving training - Power | % | 78% | 77% | 59 |
Percentage of employees receiving training - RM | % | 47% | 65% | 59 |
Number of suppliers by geographical region.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Net Asset Value (NAV) | US$ million | 259.6 | 376.1 | 54 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2020 | 2021 | Report Pages |
---|---|---|---|---|
Transhipment DWT | Mt | 25.5 | 23 | 54 |
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 | 2030 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 5167256 | 7.8 | 40 |
Indirect Energy Emissions (Scope 2) | tCO2e | 1608777.1 | 1583567.1 | 40 |
Scope 1 GHG Emissions Intensity (By Area) | None | |||
Scope 2 GHG Emissions Intensity (By Area) | None | |||
Scope 3 GHG Emissions Intensity (By Area) | None | |||
Total GHG Emissions | tCO2e | 79.7 | ||
Total GHG Emissions Intensity (By Area) | kg CO2-e/ft² | 6.2 | ||
Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 3052603 | 14.3 |
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 |
---|---|---|---|
Non-Hazardous Waste Recycled | kg | 1536 | 2532 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2021 | 2022 | 2030 | 2050 |
---|---|---|---|---|---|
Target GHG Emissions Reduction Percentage Compared to Last Year | percent | 10 | 15 | ||
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2019 | percent | 30 | |||
Target Scope 1 and 2 Emissions Reduction Percentage by 2050 Compared to 2019 | percent | 100 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|
Percentage of Renewable Energy Consumption | percent | ||||||
Purchased Electricity | kWh | 91298 | 92027 | 86930 | 84519 | 87519 | |
Renewable Energy Consumption | kWh | 10000 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2020 | 2021 |
---|---|---|---|
Recycled Water Usage | m3 | 60759 | 45487 |
Seawater Withdrawal | m3 | 42398 | 48905 |
Surface Water Withdrawal | m3 | 12384 | 13911 |
Total Water Withdrawal | m3 | 63267 | 92000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2020 | 2021 |
---|---|---|---|
Number of Employees Aged 30-50 | number | 965 | 635 |
Number of Employees Aged Above 50 | number | 47 | 132 |
Number of Employees Aged Below 30 | number | 709 | 665 |
Number of Employees in Hong Kong | employees | 35 | |
Number of Female Employees | number | 681 | 635 |
Number of Full-time Employees | number | 1721 | 1432 |
Number of Male Employees | number | 661 | 635 |
Number of New Employees | number | 505 | |
Number of New Employees (Above 50) | number | 12 | |
Number of New Employees (Aged 30-50) | number | 173 | |
Number of New Employees (Aged Below 30) | number | 320 | |
Number of New Employees (Female) | number | 119 | |
Number of New Employees (Male) | number | 426 | |
Number of Total Employees | number | 1721 | 1432 |
Percentage of Employees Aged 30-50 | % | 56.09 | 44.36 |
Percentage of Employees Aged Above 50 | % | 2.73 | 9.22 |
Percentage of Employees Aged Below 30 | % | 41.2 | 46.43 |
Percentage of Female Employees | % | 39.57 | 44.36 |
Percentage of Full-time Employees | % | 100 | 100 |
Percentage of Male Employees | % | 38.41 | 44.36 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2020 | 2021 |
---|---|---|---|
Turnover Rate of Employees Aged 30-50 | number | 56 | 75 |
Turnover Rate of Employees Aged Above 50 | number | 28 | 30 |
Turnover Rate of Employees Aged Below 30 | number | 35 | 92 |
Turnover Rate of Female Employees | number | 35 | 51 |
Turnover Rate of Male Employees | number | 84 | 146 |
Turnover Rate of Total Employees | % | 3 | 3 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2020 | 2021 |
---|---|---|---|
Work-related Fatalities Rate | 0.0025 | 0.0015 | |
Work-related Fatalities Rate (By Working Hours) | 0.0025 | 0.0015 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 | 2021 |
---|---|---|---|
Percentage of Trained Female Employees | percent | 39.58 | 41.98 |
Percentage of Trained Male Employees | percent | 60.42 | 58.02 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2020 | 2021 |
---|---|---|---|
Average Training Hours per Employee | hours | 10.314285714285715 | 13.1 |