SUSTAINABILITY REPORT 2018
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Nitrogen oxides (NOx) | tonne | 1374 | 2348 | 51 |
Particulate matter (PM) | tonne | 46 | 69 | 51 |
Sulphur dioxide (SO2) | tonne | 228 | 237 | 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 | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Carbon dioxide equivalent emissions offset by Operating Projects | tonnes | 2296680 | 35 | |
GHG Emissions Intensity (tonne CO2 equivalent/tonne of MSW processed) | 0.787 | 36 | ||
GHG emissions intensity | tonne CO2e/tonne of MSW processed | 0.643 | 0.787 | 51 |
Net GHG Emissions | tonne CO2 equivalent | 1606893 | 36 | |
Net GHG Emissions Intensity (tonne CO2 equivalent/tonne of MSW processed) | 0.324 | 36 | ||
Net GHG emissions | tonne CO2e | 1010138 | 1606893 | 51 |
Net GHG emissions intensity | tonne CO2e/tonne of MSW processed | 0.286 | 0.324 | 51 |
Scope 1 (Direct Emissions) | tonne CO2 equivalent, tonne CO2e | 2163801 | 3900993 | 36, 51 |
Scope 2 (Energy Indirect Emissions) | tonne CO2 equivalent, tonne CO2e | 101230 | 2463 | 36, 51 |
Scope 3 (Other Indirect Emissions) | tonne CO2 equivalent, tonne CO2e | 158 | 117 | 36, 51 |
Total GHG Emissions | tonne CO2 equivalent | 3903573 | 36 | |
Total GHG emissions | tonne CO2e | 2265189 | 3903573 | 51 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Activated carbon consumption | tonne | 1471 | 2249 | 52 |
Activated carbon used | tonne | 2249 | 33 | |
Fly ash produced | tonne | 57085 | 92264 | 52 |
Leachate produced | tonne | 273735 | 431015 | 52 |
Sodium bicarbonate consumption | tonne | Figures not available | 100 | 52 |
Sodium bicarbonate used | tonne | 100 | 33 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Bottom ash produced | tonne | 691045 | 1030569 | 52 |
Intensity (kg of material used/tonne of MSW treated) | kg/tonne | 8.051 | 33 | |
MSW treated by Operating Projects | tonnes | 4959040 | 35 | |
Percentage of recycled materials used (MSW) in operation | % | 37.48 | 67 | |
Total materials used | tonne | 39925 | 33 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
GHG Emissions Offset | tonne CO2 equivalent | 2296680 | 36 | |
GHG emissions offset | tonne CO2e | 1255051 | 2296680 | 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 | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Electricity consumption | GJ | 620378 | 867603 | 33, 51 |
Energy intensity | GJ/tonne of MSW processed | 0.182 | 0.182 | 51 |
Energy intensity (GJ of energy consumed/tonne of MSW treated) | GJ/tonne | 0.182 | 33 | |
Fuel oil consumption | GJ | 11396 | 14299 | 33, 51 |
Green electricity supplied to grid by Operating Projects | kWh | 1779716088 | 35 | |
Hydrochloric acid consumption | tonne | Figures not available | 344 | 52 |
Hydrochloric acid used | tonne | 344 | 33 | |
Lime consumption | tonne | 17862 | 30313 | 52 |
Lime used | tonne | 30313 | 33 | |
Natural gas consumption | GJ | 9987 | 20764 | 33, 51 |
Total energy consumed | GJ | 641761 | 902666 | 33, 51 |
Urea consumption | tonne | 2136 | 4612 | 52 |
Urea used | tonne | 4612 | 33 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Ammonia water consumption | tonne | 1603 | 2198 | 52 |
Ammonia water used | tonne | 2198 | 33 | |
Total water consumption | m³ | 6380293 | 8230218 | 52 |
Water consumption (Group) | m3 | 8230218 | 33 | |
Water intensity | m³/MWh | 5.012 | 4.624 | 52 |
Water intensity (Group) | m3/MWh | 4.624 | 33 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Coagulant & flocculant consumption | tonne | Figures not available | 110 | 52 |
Coagulant & flocculant used | tonne | 110 | 33 | |
Standard coal saved by Operating Projects | tonnes | 609466 | 35 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Employee total entry by age group: 30 years old or below | 88 | 39 | ||
Employee total entry by age group: 31–50 years old | 98 | 39 | ||
Employee total entry by age group: Over 50 years old | 9 | 39 | ||
Employee total entry by ethnicity: Ethnic minorities | 12 | 39 | ||
Employee total entry by ethnicity: Han | 183 | 39 | ||
Employee total entry by gender: Female | 43 | 39 | ||
Employee total entry by gender: Male | 152 | 39 | ||
Employee total entry by region: Guangdong | 102 | 39 | ||
Employee total entry by region: Guangxi | 71 | 39 | ||
Employee total entry by region: Guizhou | 15 | 39 | ||
Employee total entry by region: Hong Kong | 7 | 39 | ||
New employees as percentage of total workforce | percentage | 21% | 39 | |
Number of employees entitled to maternity/paternity leave (Female) | 178 | 41 | ||
Number of employees entitled to maternity/paternity leave (Male) | 761 | 41 | ||
Number of employees took maternity/paternity leave in 2018 (Female) | 12 | 41 | ||
Number of employees took maternity/paternity leave in 2018 (Male) | 36 | 41 | ||
Number of employees who returned to work after maternity/paternity leave in 2017 and still employed by the end of 2018 (Female) | 6 | 41 | ||
Number of employees who returned to work after maternity/paternity leave in 2017 and still employed by the end of 2018 (Male) | 42 | 41 | ||
Number of full-time permanent staff | No. | 817 | 939 | 53 |
Number of full-time permanent staff (30 years old or below) | No. | 277 | 284 | 53 |
Number of full-time permanent staff (31–50 years old) | No. | 515 | 601 | 53 |
Number of full-time permanent staff (Female) | No. | 155 | 178 | 53 |
Number of full-time permanent staff (General and technical staff) | No. | 748 | 869 | 53 |
Number of full-time permanent staff (Guangdong) | No. | 614 | 633 | 53 |
Number of full-time permanent staff (Guangxi) | No. | 92 | 190 | 53 |
Number of full-time permanent staff (Guizhou) | No. | 91 | 89 | 53 |
Number of full-time permanent staff (Hong Kong) | No. | 20 | 27 | 53 |
Number of full-time permanent staff (Male) | No. | 662 | 761 | 53 |
Number of full-time permanent staff (Middle-level management) | No. | 42 | 43 | 53 |
Number of full-time permanent staff (Over 50 years old) | No. | 25 | 54 | 53 |
Number of full-time permanent staff (Senior management) | No. | 27 | 27 | 53 |
Ratio of entry-level wage to local minimum wage - Guangdong - Female | 3.26 | 40 | ||
Ratio of entry-level wage to local minimum wage - Guangdong - Male | 4.77 | 40 | ||
Ratio of entry-level wage to local minimum wage - Guangxi - Female | 2.15 | 40 | ||
Ratio of entry-level wage to local minimum wage - Guangxi - Male | 3.29 | 40 | ||
Ratio of entry-level wage to local minimum wage - Guizhou - Female | 2 | 40 | ||
Ratio of entry-level wage to local minimum wage - Guizhou - Male | 2.53 | 40 | ||
Senior management from local regions (Operating Projects) | percentage | over 29% | 39 | |
Total Workforce | employees | 939 | 37 | |
Total Workforce by Age Group - 30 years old or below | employees | 601 | 37 | |
Total Workforce by Age Group - 31–50 years old | employees | 284 | 37 | |
Total Workforce by Age Group - Over 50 years old | employees | 54 | 37 | |
Total Workforce by Employee Category - General and technical staff | employees | 869 | 37 | |
Total Workforce by Employee Category - Middle-level management | employees | 43 | 37 | |
Total Workforce by Employee Category - Senior management | employees | 27 | 37 | |
Total Workforce by Gender - Female | employees | 761 | 37 | |
Total Workforce by Gender - Male | employees | 178 | 37 | |
Total Workforce by Region - Guangdong | employees | 633 | 37 | |
Total Workforce by Region - Guangxi | employees | 190 | 37 | |
Total Workforce by Region - Guizhou | employees | 89 | 37 | |
Total Workforce by Region - Hong Kong | employees | 27 | 37 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Employee total turnover by age group: 30 years old or below | 36 | 39 | |
Employee total turnover by age group: 31–50 years old | 56 | 39 | |
Employee total turnover by age group: Over 50 years old | 13 | 39 | |
Employee total turnover by ethnicity: Ethnic minorities | 7 | 39 | |
Employee total turnover by ethnicity: Han | 98 | 39 | |
Employee total turnover by gender: Female | 33 | 39 | |
Employee total turnover by gender: Male | 72 | 39 | |
Employee total turnover by region: Guangdong | 55 | 39 | |
Employee total turnover by region: Guangxi | 31 | 39 | |
Employee total turnover by region: Guizhou | 17 | 39 | |
Employee total turnover by region: Hong Kong | 2 | 39 | |
Number of employees who returned to work after maternity/paternity leave ended (Female) | 12 | 41 | |
Number of employees who returned to work after maternity/paternity leave ended (Male) | 34 | 41 | |
Retention rate (%) (Female) | % | 85.71 | 41 |
Retention rate (%) (Male) | % | 84 | 41 |
Return to work rate (%) (Female) | % | 100 | 41 |
Return to work rate (%) (Male) | % | 94.44 | 41 |
Staff turnover and retirement as percentage of total workforce | percentage | 11% | 39 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Number of work-related injuries | No. | 5 | 2 | 53 |
Number of work-related injuries (Employees) | 2 | 44 | ||
Rate of work-related injuries | Figures not available | 0.22 | 53 | |
Rate of work-related injuries (Employees) | 0.22 | 44 |
Lost days due to work injury.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Lost days due to work-related injuries | days | 705 | 52 | 53 |
Number of days lost due to work-related injuries (Employees) | 52 | 44 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Participated volunteers in community outreach | Figures not available | 473 | 54 | |
Voluntary hours in community outreach | hours | Figures not available | 1532 | 54 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | tonne | 46 | 69 |
NOâ‚“ Emissions | tonne | 1374 | 2348 |
SOâ‚“ Emissions | tonne | 228 | 237 |
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 | 2017 | 2018 |
---|---|---|---|
Direct GHG Emissions (Scope 1) | tonne CO2e | 2163801 | 3900993 |
Indirect Energy Emissions (Scope 2) | tonne CO2e | 101230 | 2463 |
Total GHG Emissions | tonne CO2e | 2265189 | 3903573 |
Total GHG Emissions Intensity (By Product Weight) | tonne CO2e/tonne of MSW processed | 0.643 | 0.787 |
Total Other Indirect Energy Emissions (Scope 3) | tonne CO2e | 158 | 117 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Hazardous Waste (Liquid Waste) | tonne | 273735 | 431015 |
Hazardous Waste (Solid Waste) | tonne | 57085 | 92264 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Non-Hazardous Waste (Domestic Waste) | tonne | 691045 | 1030569 |
Recycling Rate of Non-Hazardous Waste | % | 37.48 | |
Total Non-Hazardous Waste Intensity (By Unit Product) | kg/tonne | 8.051 |
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 |
---|---|---|---|
Energy Consumption Intensity (By Unit Product) | GJ/tonne | 0.182 | 0.182 |
Natural Gas Consumption | GJ | 9987 | 20764 |
Total Energy Consumption | GJ | 641761 | 902666 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Water Consumption | m³ | 6380293 | 8230218 |
Water Consumption Intensity (By Revenue) | m³/MWh | 5.012 | 4.624 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2018 |
---|---|---|
Energy Consumption Reduction Compared to Last Year | tonnes standard coal | 609466 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Number of Employees Aged 30-50 | No. | 515 | 601 |
Number of Employees Aged Above 50 | No. | 25 | 54 |
Number of Employees Aged Below 30 | No. | 277 | 284 |
Number of Employees in Hong Kong | No. | 20 | 27 |
Number of Employees in Mainland China | No. | 797 | 912 |
Number of Female Employees | No. | 155 | 178 |
Number of Full-time Employees | No. | 817 | 939 |
Number of General Employees | No. | 748 | 869 |
Number of Male Employees | No. | 662 | 761 |
Number of Middle Management Employees | No. | 42 | 43 |
Number of New Employees | No. | 195 | |
Number of New Employees (Above 50) | No. | 9 | |
Number of New Employees (Aged 30-50) | No. | 98 | |
Number of New Employees (Aged Below 30) | No. | 88 | |
Number of New Employees (Female) | No. | 43 | |
Number of New Employees (Hong Kong) | No. | 7 | |
Number of New Employees (Mainland China) | No. | 188 | |
Number of New Employees (Male) | No. | 152 | |
Number of Senior Management Employees | No. | 27 | 27 |
Number of Total Employees | No. | 817 | 939 |
Percentage of Employees Aged 30-50 | percentage | 63.04 | 64.03 |
Percentage of Employees Aged Above 50 | percentage | 3.06 | 5.75 |
Percentage of Employees Aged Below 30 | percentage | 33.89 | 30.24 |
Percentage of Employees in Hong Kong | percentage | 2.45 | 2.88 |
Percentage of Employees in Mainland China | percentage | 97.55 | 97.12 |
Percentage of Female Employees | percentage | 18.97 | 18.94 |
Percentage of General Employees | percentage | 91.55 | 92.54 |
Percentage of Male Employees | percentage | 81.03 | 81.06 |
Percentage of Middle Management Employees | percentage | 5.14 | 4.58 |
Percentage of New Employees | percentage | 21 | |
Percentage of Senior Management Employees | percentage | 3.31 | 2.88 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2018 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | |
Turnover Rate of Employees Aged Above 50 | % | |
Turnover Rate of Employees Aged Below 30 | % | |
Turnover Rate of Employees in Hong Kong | % | |
Turnover Rate of Female Employees | % | |
Turnover Rate of Male Employees | % | |
Turnover Rate of Total Employees | % | 11 |
Lost days due to work injury.
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Lost Days Due to Work-related Injuries | days | 705 | 52 |
Lost Working Days Due to Work-related Injuries (Employees) | days | 52 | |
Rate of Work-related Injuries | 0.22 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Health Check Coverage for Employees | percent |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit |
---|---|
Percentage of Employees Trained | percent |
Percentage of New Employees Trained | percent |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 |
---|---|---|
Number of Employees Participating in Volunteer Activities | 473 | |
Total Volunteer Service Hours | hours | 1532 |