2018 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Ammonium | Tonnes | 0.71 | 38 | |
| Chemical oxygen demand | Tonnes | 39 | 40 | 38 |
| Nitrogen Oxides (NOx) Air Emissions | tonnes | 51 | 46 | 21 |
| Nitrogen oxides emission | Tonnes | 51 | 46 | 38 |
| Particulate Matter (PM) Air Emissions | tonnes | 23 | 11 | 21 |
| Particulate matters emission | Tonnes | 23 | 11 | 38 |
| Sulfur Oxides (SOx) Air Emissions | tonnes | 31 | 18 | 21 |
| Sulfur dioxide emission | Tonnes | 31 | 18 | 38 |
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 |
|---|---|---|---|---|
| Direct GHG emissions (Scope 1) | tCO2e | 50450 | 101875 | 23 |
| Direct emission (Scope 1) | tCO₂e | 50450 | 101875 | 38 |
| Emission intensity | tCO₂e/thousand RMB revenue | 0.019 | 38 | |
| GHG emissions intensity | tCO2e per thousand RMB revenue | 0.019 | 23 | |
| Indirect GHG emissions (Scope 2) | tCO2e | 67648 | 113098 | 23 |
| Indirect emission (Scope 2) | tCO₂e | 67648 | 113098 | 38 |
| Total GHG emission | tCO₂e | 118098 | 214973 | 38 |
| Total GHG emissions | tCO2e | 214973 | 23 |
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 |
|---|---|---|---|---|
| Hazardous waste | Tonnes | 28 | 31.5 | 38 |
| Hazardous waste intensity | Kg/thousand RMB revenue | 0.003 | 38 |
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 |
|---|---|---|---|---|
| Non-hazardous waste | Tonnes | 27140 | 23499.3 | 38 |
| Non-hazardous waste intensity | Kg/thousand RMB revenue | 2.09 | 38 |
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 |
|---|---|---|---|---|
| Coal consumption | Tonnes | 17171 | 44953 | 38 |
| Diesel consumption | Liter | 76959 | 71414 | 38 |
| Electricity consumption | kWh | 72508246 | 108004347 | 38 |
| Energy composition - Coal | MWh | 325912 | 23 | |
| Energy composition - Diesel | MWh | 846 | 23 | |
| Energy composition - Electricity | MWh | 108004 | 23 | |
| Energy composition - Natural Gas | MWh | 112400 | 23 | |
| Energy composition - Petrol | MWh | 3859 | 23 | |
| Energy composition - Purchased Steam | MWh | 117811 | 23 | |
| Energy density | kWh per thousand RMB revenue | 59 | 23 | |
| Natural gas consumption | m³ | 8693518 | 10393728 | 38 |
| Petrol consumption | Liter | 452509 | 322553 | 38 |
| Purchased steam consumption | Tonnes | 82108 | 159057 | 38 |
| Total energy consumption | MWh, kWh | 358543 | 668831 | 23, 38 |
| Total energy intensity | kWh/thousand RMB revenue | 43 | 59 | 38 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Tap water consumption | Tonnes | 1668332 | 2023991 | 38 |
| Water consumption intensity | Tonnes/thousand RMB revenue | 0.2 | 0.18 | 38 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Packaging Materials - Composite film | Tonnes | 953 | 3676 | 39 |
| Packaging Materials - Glass | Tonnes | 222 | 39 | |
| Packaging Materials - Metal | Tonnes | 4085 | 405 | 39 |
| Packaging Materials - Others | Tonnes | 89 | 39 | |
| Packaging Materials - Paper | Tonnes | 46023 | 7406 | 39 |
| Packaging Materials - Plastics | Tonnes | 3003 | 10836 | 39 |
| Packaging Materials - Total | Tonnes | 54064 | 22634 | 39 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Age Distribution - 30-50 | 5757 | 5908 | 39 | |
| Age Distribution - <30 | 4038 | 4105 | 39 | |
| Age Distribution - >50 | 793 | 1440 | 39 | |
| Employees above age 50 | employees | 4105 | 29 | |
| Employees above age 50 (percentage) | % | 36 | 29 | |
| Employees aged 30-50 | employees | 5908 | 29 | |
| Employees aged 30-50 (percentage) | % | 52 | 29 | |
| Employees below age 30 | employees | 1440 | 29 | |
| Employees below age 30 (percentage) | % | 12 | 29 | |
| Employees below undergraduate education | employees | 5360 | 29 | |
| Employees below undergraduate education (percentage) | % | 47 | 29 | |
| Employees from minority communities | employees | 429 | 29 | |
| Employees from minority communities (percentage) | % | 4 | 29 | |
| Employees with undergraduate or above education | employees | 6093 | 29 | |
| Employees with undergraduate or above education (percentage) | % | 53 | 29 | |
| Female employees | employees | 5948 | 29 | |
| Female employees (percentage) | % | 52 | 29 | |
| Frontline employees | employees | 8677 | 29 | |
| Frontline employees (percentage) | % | 76 | 29 | |
| Functional Distribution - Frontline | 8338 | 8677 | 39 | |
| Functional Distribution - Manager | 2250 | 2776 | 39 | |
| Gender Distribution - Female | 5148 | 5505 | 39 | |
| Gender Distribution - Male | 5440 | 5948 | 39 | |
| Male employees | employees | 5505 | 29 | |
| Male employees (percentage) | % | 48 | 29 | |
| Management employees | employees | 2776 | 29 | |
| Management employees (percentage) | % | 24 | 29 | |
| New hire rate - Female | 36% | 40 | ||
| New hire rate - Male | 31% | 40 | ||
| New hire rate below age 30 | % | 51 | 29 | |
| New hire rate female | % | 36 | 29 | |
| New hire rate male | % | 31 | 29 | |
| Number of new employees - 30-50 | 1593 | 39 | ||
| Number of new employees - <30 | 2102 | 39 | ||
| Number of new employees - >50 | 95 | 39 | ||
| Number of new employees - Female | 1973 | 40 | ||
| Number of new employees - Male | 1817 | 40 | ||
| Regional Distribution - Hong Kong | 1 | 39 | ||
| Regional Distribution - Mainland China | 10588 | 11452 | 39 | |
| Total Number of Employees | 10588 | 11453 | 39 | |
| Total workforce | employees | 11453 | 29 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| New hire rate - 30-50 | 27% | 39 | |
| New hire rate - <30 | 51% | 39 | |
| New hire rate - >50 | 7% | 39 | |
| New hire rate above age 50 | % | 7 | 29 |
| New hire rate age 30-50 | % | 27 | 29 |
| Overall new hire rate | % | 33 | 29 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of work-related injuries | 49 | 40 |
Lost days due to work injury.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Lost days due to work injury | 656 | 1066 | 40 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Total training coverage - Female | 95% | 40 | |
| Total training coverage - Frontline | 97% | 40 | |
| Total training coverage - Male | 93% | 40 | |
| Total training coverage - Management | 84% | 40 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Average training hours - Female | 15 | 18 | 40 | |
| Average training hours - Frontline | 18 | 13 | 40 | |
| Average training hours - Male | 16 | 16 | 40 | |
| Average training hours - Management | 12 | 29 | 40 | |
| Total training hours | 10641 | 26696 | 40 | |
| Total training person-time | 8326 | 16540 | 40 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Volunteering | Hour | 3119 | 503 | 40 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Public welfare donation | 100000 RMB | 453 | 608 | 40 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 23 | 11 |
| NOₓ Emissions | tonnes | 51 | 46 |
| SOₓ Emissions | tonnes | 31 | 18 |
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) | tCO2e | 50450 | 101875 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 67648 | 113098 |
| Total GHG Emissions | tCO2e | 118098 | 214973 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e per thousand RMB revenue | 0.019 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Total Hazardous Waste | Tonnes | 28 | 31.5 |
| Total Hazardous Waste Intensity (By Revenue) | Kg/thousand RMB revenue | 0.003 |
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 Disposed | Tonnes | 27140 | 23499.3 |
| Recycling Rate of Non-Hazardous Waste | % | ||
| Total Non-Hazardous Waste Intensity (By Revenue) | Kg/thousand RMB revenue | 2.09 |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | Liter | 76959 | 71414 |
| Energy Consumption Intensity (By Revenue) | kWh/thousand RMB revenue | 43 | 59 |
| Gasoline Consumption | Liter | 452509 | 322553 |
| Natural Gas Consumption | m³ | 8693518 | 10393728 |
| Purchased Electricity | kWh | 72508246 | 108004347 |
| Purchased Steam | Tonnes | 82108 | 159057 |
| Total Energy Consumption | MWh | 358543 | 668831 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Water Consumption | Tonnes | 1668332 | 2023991 |
| Water Consumption Intensity (By Revenue) | Tonnes/thousand RMB revenue | 0.2 | 0.18 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Office Electricity Consumption Reduction Compared to Last Year | kWh |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Packaging Material Consumption (Glass) | tonnes | 222 | |
| Packaging Material Consumption (Metal) | tonnes | 4085 | 405 |
| Packaging Material Consumption (Paper) | tonnes | 46023 | 7406 |
| Packaging Material Consumption (Plastic) | tonnes | 3003 | 10836 |
| Packaging Materials Consumed | tonnes | 54064 | 22634 |
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 | employees | 5757 | 5908 |
| Number of Employees Aged Above 50 | employees | 793 | 4105 |
| Number of Employees Aged Below 30 | employees | 4038 | 1440 |
| Number of Employees in Hong Kong | employees | 1 | |
| Number of Employees in Mainland China | employees | 10588 | 11452 |
| Number of Female Employees | employees | 5148 | 5948 |
| Number of Male Employees | employees | 5440 | 5505 |
| Number of New Employees (Above 50) | employees | 95 | |
| Number of New Employees (Aged 30-50) | employees | 1593 | |
| Number of New Employees (Aged Below 30) | employees | 2102 | |
| Number of New Employees (Female) | employees | 1973 | |
| Number of New Employees (Male) | employees | 1817 | |
| Number of Total Employees | employees | 10588 | 11453 |
| Percentage of Employees Aged 30-50 | % | 52 | |
| Percentage of Employees Aged Above 50 | % | 36 | |
| Percentage of Employees Aged Below 30 | % | 12 | |
| Percentage of Female Employees | % | 52 | |
| Percentage of Male Employees | % | 48 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | None |
| Turnover Rate of Employees Aged Above 50 | % | None |
| Turnover Rate of Employees Aged Below 30 | % | None |
| Turnover Rate of Female Employees | % | None |
| Turnover Rate of Male Employees | % | None |
| Turnover Rate of Total Employees | % | None |
Lost days due to work injury.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 656 | 1066 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Employees Trained | % | 97 |
| Percentage of Trained Female Employees | % | 95 |
| Percentage of Trained Male Employees | % | 93 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 15 | 18 |
| Average Training Hours (General Staff) | hours | 18 | 13 |
| Average Training Hours (Male) | hours | 16 | 16 |
| Average Training Hours (Senior Management) | hours | 12 | 29 |
| Total Training Hours | hours | 10641 | 26696 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit |
|---|---|
| Number of Patents Applied | patent applications |
| Number of Patents Granted | patents |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Total Public Welfare Donations | RMB | 45300000 | 60800000 |