SUSTAINABILITY REPORT 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|
Nitrogen oxide (NOx) emissions | Tonnes | 2665 | 2604 | 51 |
Particulate matter (PM10) emissions | Tonnes | 111 | 110 | 51 |
Sulphur oxide (SOx) emissions | Tonnes | 2.6 | 2.53 | 51 |
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 | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|---|
Carbon emissions (total) | tonnes CO2e | 366869 | 37 | ||
Carbon emissions - Construction | % | 10 | 37 | ||
Carbon emissions - Facilities Management | % | 13 | 37 | ||
Carbon emissions - Roads | % | 1 | 37 | ||
Carbon emissions - Transport | % | 76 | 37 | ||
Scope 1 GHG emissions | tCO2e | 295209 | 287969 | 51 | |
Scope 2 GHG emissions | tCO2e | 70986 | 78899 | 51 | |
Total GHG emissions (scope 1 & 2) | tCO2e | 366195 | 366869 | 51 | |
Total GHG emissions (scope 1 & 2) intensity | tCO2e/HK$’m revenue | 16 | 16 | 51 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|
Total chemical waste disposed | Tonnes | 661 | 688 | 51 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|---|
Aluminium Cans recycled | Kilograms | 174 | 1327 | 51 | |
C&D materials reused for site-formation and other construction works at Hip Hing | million tonnes | 1.27 | 42 | ||
C&D waste (to public fill facility) recycled | Tonnes | 782741 | 695513 | 51 | |
C&D waste to sorting facility | Tonnes | 42127 | 36126 | 51 | |
General waste to landfill | Tonnes | 55665 | 56376 | 51 | |
General waste to landfill (total) | tonnes | 56376 | 37 | ||
General waste to landfill - Construction | % | 93 | 37 | ||
General waste to landfill - Facilities Management | % | 7 | 37 | ||
Glass Bottles recycled | Tonnes | 40 | 35 | 51 | |
Paper recycled | Tonnes | 323 | 262 | 51 | |
Percentage of C&D (construction and demolition) wastes recycled at Hip Hing | % | 90% | 42 | ||
Plastics Bottles recycled | Kilograms | 1929 | 2640 | 51 | |
Total materials recycled | Tonnes | 783127 | 696056 | 51 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | FY2030 | Report Pages |
---|---|---|---|
Greenhouse gas (GHG) intensity reduction target (baseline FY2013, target FY2030) | percent | -30 | 36 |
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 | FY2018 | FY2019 | FY2030 | Report Pages |
---|---|---|---|---|---|
Asphalt pavement materials collected and sold for reuse at Hangzhou Guoyi | tonnes | 44000 | 42 | ||
Chemical waste disposed (liquid) | Tonnes | 603 | 627 | 51 | |
Chemical waste disposed (solid) | Tonnes | 58 | 62 | 51 | |
Cooking Oil recycled | Litres | 10495 | 9442 | 51 | |
Food Waste recycled | Tonnes | 11 | 233 | 51 | |
Reuse of construction and demolition (C&D) materials target by FY2030 | percent | at least 90 | 36 | ||
Total non-hazardous waste disposed | Tonnes | 97792 | 92502 | 51 |
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 | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|---|
Biodiesel consumption | GJ | 230990 | 199808 | 51 | |
Biodiesel share of total diesel usage in construction sites | % | 80 | 40 | ||
Diesel consumption | GJ | 4051119 | 3969299 | 51 | |
Energy consumption (total) | GJ | 4610688 | 37 | ||
Energy consumption - Construction | % | 8 | 37 | ||
Energy consumption - Facilities Management | % | 5 | 37 | ||
Energy consumption - Roads | % | 1 | 37 | ||
Energy consumption - Transport | % | 86 | 37 | ||
Liquefied petroleum gas consumption | GJ | 669 | 551 | 51 | |
On-site generated renewable energy consumption | GJ | 22 | 51 | ||
Purchased electricity consumption | GJ | 352265 | 405007 | 51 | |
Total energy consumption | GJ | 4672283 | 4610688 | 51 | |
Total energy consumption intensity | GJ/HK$’m revenue | 202 | 201 | 51 | |
Towngas consumption | GJ | 25294 | 23541 | 51 | |
Unleaded petrol consumption | GJ | 11946 | 12482 | 51 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|---|
Municipal Freshwater used | m3 | 1165175 | 1274208 | 51 | |
Water consumption (total) | m3 | 1274208 | 37 | ||
Water consumption - Construction | % | 59 | 37 | ||
Water consumption - Facilities Management | % | 20 | 37 | ||
Water consumption - Roads | % | 7 | 37 | ||
Water consumption - Transport | % | 14 | 37 | ||
Water intensity | m3/HK$’m revenue | 50 | 55 | 51 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | FY2030 | Report Pages |
---|---|---|---|
Energy intensity reduction target (baseline FY2013, target FY2030) | percent | -25 | 36 |
Water intensity reduction target (baseline FY2013, target FY2030) | percent | -30 | 36 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | FY2019 | Report Pages |
---|---|---|---|
Number of active construction sites certified for ISO 14001 Environmental Management System | sites | 42 | 38 |
Number of active construction sites certified for ISO 50001 Energy Management System | sites | 42 | 38 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | FY2019 | Report Pages |
---|---|---|---|---|
Employees 30–50 years old Hangzhou Male | No. of employees | 529 | 53 | |
Employees 30–50 years old Hong Kong Male | No. of employees | 3843 | 53 | |
Employees above 50 years old Hangzhou Male | No. of employees | 69 | 53 | |
Employees above 50 years old Hong Kong Male | No. of employees | 4990 | 53 | |
Employees taken parental leave Hangzhou Female | No. of employees | 20 | 53 | |
Employees taken parental leave Hangzhou Male | No. of employees | 12 | 53 | |
Employees taken parental leave Hong Kong Female | No. of employees | 24 | 53 | |
Employees taken parental leave Hong Kong Male | No. of employees | 75 | 53 | |
Employees under 30 years old Hangzhou Male | No. of employees | 55 | 53 | |
Employees under 30 years old Hong Kong Male | No. of employees | 1312 | 53 | |
Female workforce in Construction industry | % | 17 | 22 | |
Female workforce in Corporate Office | % | 52 | 22 | |
Female workforce in Facilities Management industry | % | 47 | 22 | |
Female workforce in Roads industry | % | 43 | 22 | |
Female workforce in Transport industry | % | 7 | 22 | |
Fixed-term or temporary contract employees Hong Kong Female | No. of employees | 134 | 53 | |
Fixed-term or temporary contract employees Hong Kong Male | No. of employees | 1202 | 53 | |
Full-time employees Hangzhou Female | No. of employees | 281 | 53 | |
Full-time employees Hangzhou Male | No. of employees | 372 | 53 | |
Full-time employees Hong Kong Female | No. of employees | 1525 | 53 | |
Full-time employees Hong Kong Male | No. of employees | 8310 | 53 | |
Incidents of discrimination and corrective actions taken | There are no reported incidents of workplace discrimination in FY2019 | 59 | ||
Male workforce in Construction industry | % | 83 | 22 | |
Male workforce in Corporate Office | % | 48 | 22 | |
Male workforce in Facilities Management industry | % | 53 | 22 | |
Male workforce in Roads industry | % | 57 | 22 | |
Male workforce in Transport industry | % | 93 | 22 | |
Number of New Hires Hangzhou Female | No. of employees | 15 | 53 | |
Number of New Hires Hangzhou Male | No. of employees | 15 | 53 | |
Number of New Hires Hong Kong Female | No. of employees | 263 | 53 | |
Number of New Hires Hong Kong Male | No. of employees | 1057 | 53 | |
Part-time employees Hong Kong Female | No. of employees | 104 | 53 | |
Part-time employees Hong Kong Male | No. of employees | 207 | 53 | |
Permanent contract employees Hangzhou Female | No. of employees | 281 | 53 | |
Permanent contract employees Hangzhou Male | No. of employees | 372 | 53 | |
Permanent contract employees Hong Kong Female | No. of employees | 1494 | 53 | |
Permanent contract employees Hong Kong Male | No. of employees | 7315 | 53 | |
Rate of New Hires 30–50 years old Hangzhou Female | % | 40 | 53 | |
Rate of New Hires 30–50 years old Hangzhou Male | % | 17 | 53 | |
Rate of New Hires 30–50 years old Hong Kong Female | % | 9 | 53 | |
Rate of New Hires 30–50 years old Hong Kong Male | % | 25 | 53 | |
Rate of New Hires above 50 years old Hong Kong Female | % | 5 | 53 | |
Rate of New Hires above 50 years old Hong Kong Male | % | 29 | 53 | |
Rate of New Hires under 30 years old Hangzhou Female | % | 10 | 53 | |
Rate of New Hires under 30 years old Hangzhou Male | % | 33 | 53 | |
Rate of New Hires under 30 years old Hong Kong Female | % | 6 | 53 | |
Rate of New Hires under 30 years old Hong Kong Male | % | 26 | 53 | |
Total Employees | No. of employees | 10798 | 53 | |
Total workforce | employees | 10798 | 22 | |
Workforce aged 30-50 years | % | 40 | 22 | |
Workforce in Construction industry | % | 24 | 22 | |
Workforce in Corporate Office | % | 2 | 22 | |
Workforce in Facilities Management industry | % | 13 | 22 | |
Workforce in Roads industry | % | 6 | 22 | |
Workforce in Transport industry | % | 55 | 22 | |
Workforce over 50 years old | % | 47 | 22 | |
Workforce under 30 years old | % | 13 | 22 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2019 | FY2019 | Report Pages |
---|---|---|---|---|
Employee turnover rate | % | 11 | 22 | |
Employees returned after parental leave ended Hangzhou Female | No. of employees | 19 | 53 | |
Employees returned after parental leave ended Hangzhou Male | No. of employees | 12 | 53 | |
Employees returned after parental leave ended Hong Kong Female | No. of employees | 19 | 53 | |
Employees returned after parental leave ended Hong Kong Male | No. of employees | 72 | 53 | |
New hire rate | % | 14 | 22 | |
Number of Turnover Hangzhou Female | No. of employees | 24 | 53 | |
Number of Turnover Hangzhou Male | No. of employees | 25 | 53 | |
Number of Turnover Hong Kong Female | No. of employees | 284 | 53 | |
Number of Turnover Hong Kong Male | No. of employees | 844 | 53 | |
Rate of Turnover 30–50 years old Hangzhou Female | % | 29 | 53 | |
Rate of Turnover 30–50 years old Hangzhou Male | % | 37 | 53 | |
Rate of Turnover 30–50 years old Hong Kong Female | % | 12 | 53 | |
Rate of Turnover 30–50 years old Hong Kong Male | % | 21 | 53 | |
Rate of Turnover above 50 years old Hangzhou Female | % | 14 | 53 | |
Rate of Turnover above 50 years old Hangzhou Male | % | 4 | 53 | |
Rate of Turnover above 50 years old Hong Kong Female | % | 8 | 53 | |
Rate of Turnover above 50 years old Hong Kong Male | % | 39 | 53 | |
Rate of Turnover under 30 years old Hangzhou Female | % | 6 | 53 | |
Rate of Turnover under 30 years old Hangzhou Male | % | 10 | 53 | |
Rate of Turnover under 30 years old Hong Kong Female | % | 6 | 53 | |
Rate of Turnover under 30 years old Hong Kong Male | % | 15 | 53 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2019 | FY2019 | Report Pages |
---|---|---|---|---|
Fatalities | No. of fatality | 1 | 53 | |
Fatality rate | % | 0.01 | 53 | |
Number of fatalities due to traffic accident involving Citybus (March 2019) | fatalities | 2 | 54 | |
Number of injuries due to traffic accident involving Citybus (March 2019) | injuries | >10 | 54 | |
Reportable injuries (sick leave > 3 days) | No. of case | 274 | 53 |
Lost days due to work injury.
Indicator | Unit | FY2019 | Report Pages |
---|---|---|---|
Lost-time injuries (sick leave > 0 day) | No. of case | 362 | 53 |
Lost-time injury rate (LTIR) | per 100 employees | 2.68 | 53 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | FY2019 | Report Pages |
---|---|---|---|
Return to work rate Hangzhou Female | % | 95 | 53 |
Return to work rate Hangzhou Male | % | 100 | 53 |
Return to work rate Hong Kong Female | % | 79 | 53 |
Return to work rate Hong Kong Male | % | 96 | 53 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | FY2019 | Report Pages |
---|---|---|---|
Average Training Hours by Employees per Category - Assistant General Manager/Assistant Director and above | hours | 11.8 | 24 |
Average Training Hours by Employees per Category - Assistant Manager | hours | 17.3 | 24 |
Average Training Hours by Employees per Category - General Staff | hours | 12.9 | 24 |
Average Training Hours by Employees per Category - Operational Staff | hours | 16.4 | 24 |
Average Training Hours by Employees per Category - Senior Manager and Manager | hours | 10.6 | 24 |
Average Training Hours by Gender per Category - Female | hours | 17.1 | 24 |
Average Training Hours by Gender per Category - Male | hours | 15.8 | 24 |
Total training hours Anti-corruption | No. of hours | 667 | 53 |
Total training hours Corporate culture | No. of hours | 13147 | 53 |
Total training hours Environmental protection | No. of hours | 2483 | 53 |
Total training hours Occupational health and safety | No. of hours | 26362 | 53 |
Total training hours Professional development | No. of hours | 130064 | 53 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Number of passengers carried by NWFB and Citybus fleets | 370000000 | 36 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Increase in number of bus routes eligible for interchange fare discount | bus routes | 5% to 179 | 36 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | FY2018 | FY2019 | Report Pages |
---|---|---|---|---|
Revenue | HK$’m revenue | 23123 | 22967 | 51 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
NOₓ Emissions | Tonnes | 2665 | 2604 |
PM10 Emissions | Tonnes | 111 | 110 |
SOₓ Emissions | Tonnes | 2.6 | 2.53 |
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 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2e | 295209 | 287969 |
Indirect Energy Emissions (Scope 2) | tCO2e | 70986 | 78899 |
Total GHG Emissions | tCO2e | 366195 | 366869 |
Total GHG Emissions Intensity (By Revenue) | tCO2e/HK$’m revenue | 16 | 16 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Hazardous Waste Disposed | Tonnes | 661 | 688 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Diversion Rate of Non-Hazardous Waste | % | 80.1 | 75.3 |
Glass Waste | tonnes | 40 | 35 |
Non-Hazardous Waste (Kitchen Waste) | tonnes | 11 | 233 |
Non-Hazardous Waste Disposed | tonnes | 97792 | 92502 |
Non-Hazardous Waste Landfilling | tonnes | 55665 | 56376 |
Non-Hazardous Waste Recycled | tonnes | 783127 | 696056 |
Paper Waste | tonnes | 323 | 262 |
Plastic Waste | tonnes | 1.929 | 2.64 |
Recycling Rate of Non-Hazardous Waste | % | 80.1 | 75.3 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2030 |
---|---|---|
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2013 | percent | -30 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | -3.23 | 3.23 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Diesel Fuel Consumption | GJ | 4051119 | 3969299 |
Energy Consumption Intensity (By Revenue) | GJ/HK$’m revenue | 202 | 201 |
LPG Consumption | GJ | 669 | 551 |
Purchased Electricity | GJ | 352265 | 405007 |
Total Energy Consumption | GJ | 4672283 | 4610688 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Municipal Water Consumption | m3 | 1165175 | 1274208 |
Water Consumption | m3 | 1274208 | |
Water Consumption Intensity (By Revenue) | m3/HK$’m revenue | 50 | 55 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2030 |
---|---|---|
Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | percent | -25 |
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 |
---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Employees Aged 30-50 (Male) | employees | 4372 |
Number of Employees Aged Above 50 (Male) | employees | 5059 |
Number of Employees Aged Below 30 (Male) | employees | 1367 |
Number of Full-time Employees | employees | 10488 |
Number of Full-time Employees (Female) | employees | 1806 |
Number of Full-time Employees (Male) | employees | 8682 |
Number of New Employees | employees | 1350 |
Number of New Employees (Female) | employees | 278 |
Number of New Employees (Hong Kong) | employees | 1320 |
Number of New Employees (Mainland China) | employees | 30 |
Number of New Employees (Male) | employees | 1072 |
Number of Part-time Employees | employees | 311 |
Number of Part-time Employees (Female) | employees | 104 |
Number of Part-time Employees (Male) | employees | 207 |
Number of Temporary Workers | employees | 1336 |
Number of Temporary Workers (Female) | employees | 134 |
Number of Temporary Workers (Male) | employees | 1202 |
Number of Total Employees | employees | 10798 |
Percentage of Employees Aged 30-50 | % | 40 |
Percentage of Employees Aged Above 50 | % | 47 |
Percentage of Employees Aged Below 30 | % | 13 |
Percentage of Full-time Employees | % | 97.13 |
Percentage of Part-time Employees | % | 2.88 |
Percentage of Temporary Workers | % | 12.37 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 12 |
Turnover Rate of Employees Aged Above 50 | % | 8 |
Turnover Rate of Employees Aged Below 30 | % | 6 |
Turnover Rate of Total Employees | % | 11 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2019 |
---|---|---|
Fatalities Rate as a Result of Work-related Injuries | % | 0.01 |
Number of Fatalities as a Result of Work-related Injuries | No. of fatality | 1 |
Number of Work-related Fatalities | No. of fatality | 1 |
Work-related Fatalities Rate | % | 0.01 |
Lost days due to work injury.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Work-related Injuries | No. of case | 362 |
Rate of Work-related Injuries | per 100 employees | 2.68 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2019 |
---|---|---|
Average Training Hours (Female) | hours | 17.1 |
Average Training Hours (General Staff) | hours | 12.9 |
Average Training Hours (Male) | hours | 15.8 |
Average Training Hours (Middle Management) | hours | 10.6 |
Average Training Hours (Operational Employees) | hours | 16.4 |
Average Training Hours (Senior Management) | hours | 11.8 |
Training Hours of Anti-corruption | No. of hours | 667 |
Training Hours of Professional Skills Development | No. of hours | 130064 |