Environmental, Social and Governance 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 |
|---|---|---|---|---|
| Ammonia nitrogen in wastewater pollutant discharge | tons | 0.12 | 0.0375 | 7 |
| Chemical oxygen demand in wastewater pollutant discharge | tons | 7.36 | 4.54 | 7 |
| Nitrogen oxides emissions | tons | 153 | 148.22 | 7 |
| Soot and dust emissions | tons | 46 | 13.65 | 7 |
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 |
|---|---|---|---|---|
| Scope 1 greenhouse gas emissions (percentage of total) | 23% | 8 | ||
| Scope 2 greenhouse gas emissions (percentage of total) | 27% | 8 | ||
| Sulfur dioxide emissions | tons | 91 | 99.83 | 7 |
| Total greenhouse gas emissions (CO2 equivalent) | tons | 760594 | 8 |
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 |
|---|---|---|---|---|
| Internally recycled wasted filaments | tons | 9000 | 8539 | 9, 10 |
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 |
|---|---|---|---|---|
| General waste generated during production process | tons | 4343 | 8 | |
| Recycled paper rolls | piece (ten thousand), units | 543 | 1883 | 9, 10 |
| Recycled wasted films | tons | 5900 | 9688 | 9, 10 |
| Wasted film sales | tons | 1600 | 2241 | 9, 10 |
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 (direct energy) | tons | 98785 | 101616 | 23 |
| Coal consumption | tons (ten thousand) | 9.9 | 10.2 | 8 |
| Diesel (direct energy) | liters | 446868 | 402192 | 23 |
| Diesel consumption | liters (ten thousand) | 44.7 | 40.2 | 8 |
| Electricity consumption | Mw/h | 1027784 | 1106402 | 8 |
| Jinjiang power grid energy consumption (indirect energy) | kw/h | 1027784254 | 1106402203 | 23 |
| Photovoltaic power generation system installed capacity | kw | 22441291 | 8 | |
| Solar photovoltaic power consumption | kw/h | 13752285 | 22441291 | 23 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Municipal water | tons | 3445228 | 3743074 | 23 |
| Municipal water consumption | tons | 3445228 | 3743074 | 9 |
| Rooftop distributed photovoltaic power generation project capacity | MW | 30 | 8 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Bubble films consumed | kg | 40900 | 60400 | 9 |
| Foam boards consumed | piece | 9249100 | 12484500 | 9 |
| HD bags consumed | kg | 563900 | 631700 | 9 |
| Paper boxes consumed | piece | 17579900 | 19848300 | 9 |
| Paper rolls consumed | piece | 99525700 | 94763500 | 9 |
| Pear pads (Foam boards) consumed | piece | 234100 | 247100 | 9 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Age distribution of staff (30-50 years) | % | 44.77 | 11 |
| Age distribution of staff (<30 years) | % | 44.42 | 11 |
| Age distribution of staff (>50 years) | % | 10.81 | 11 |
| Gender distribution of staff (Female) | % | 69.52 | 11 |
| Gender distribution of staff (Male) | % | 30.48 | 11 |
| Number of employees below 30 years old in Chinese region | 2026 | 10 | |
| Number of employees between 30 to 50 years old in Chinese region | 2010 | 10 | |
| Number of employees in Chinese region | 4525 | 10 | |
| Number of employees over 50 years old in Chinese region | 489 | 10 | |
| Number of female staff in Chinese region | 1379 | 10 | |
| Number of female staff in Vietnam | 158 | 11 | |
| Number of male staff in Chinese region | 3146 | 10 | |
| Number of male staff in Vietnam | 300 | 11 | |
| Number of managerial staff in Vietnam | 35 | 11 | |
| Number of staff in Vietnam | 458 | 11 | |
| Number of staff in Vietnam aged 30-50 years | 127 | 11 | |
| Number of staff in Vietnam below 30 years old | 330 | 11 | |
| Number of staff in Vietnam over 50 years old | 1 | 11 | |
| Number of staff in Vietnam with junior college degree or higher | 57 | 11 | |
| Percentage of employees between 30 to 50 years old in Chinese region | 44.77% | 10 | |
| Percentage of female staff in Chinese region | 30.48% | 10 | |
| Percentage of female staff in Vietnam | % | 34.5 | 11 |
| Percentage of male staff in Chinese region | 69.52% | 10 | |
| Percentage of male staff in Vietnam | % | 65.5 | 11 |
| Percentage of managerial staff in Vietnam | % | 7.64 | 11 |
| Percentage of staff in Vietnam aged 30-50 years | % | 27.73 | 11 |
| Percentage of staff in Vietnam below 30 years old | % | 72.05 | 11 |
| Percentage of staff in Vietnam over 50 years old | % | 0.22 | 11 |
| Percentage of staff in Vietnam with junior college degree or higher | % | 12.45 | 11 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of managerial personnel attended trainings | staff | 6415 | 15 |
| Total number of staff attended trainings | staff | 16210 | 15 |
| Training coverage rate of general staff | % | 89.2 | 15 |
| Training coverage rate of male and female staff | % | >90 | 15 |
| Training coverage rate of managerial personnel | % | 85.8 | 15 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of general staff attended trainings | staff | 15771 | 15 |
| Per capita training hours | hours | 122 | 15 |
| Per capita training hours of general staff | hours | 139 | 15 |
| Per capita training hours of managerial personnel | hours | 82.5 | 15 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tons | 46 | 13.65 |
| NOâ‚“ Emissions | tons | 153 | 148.22 |
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 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 174936.62 |
| Indirect Energy Emissions (Scope 2) | tons | 205360.38 |
| Total GHG Emissions | tons | 760594 |
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 Recycled | tons | 9000 | 8539 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Non-Hazardous Waste Recycled | tons | 9688 |
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 | liters | 446868 | 402192 |
| Fossil Fuel Consumption | liters (diesel) | 446868 | 402192 |
| Grid Electricity Consumption | kWh | 1027784254 | 1106402203 |
| Renewable Energy Consumption | kWh (solar) | 13752285 | 22441291 |
| Solar Energy | kWh | 13752285 | 22441291 |
| Total Direct Energy Consumption | tons (coal) | 98785 | 101616 |
| Total Indirect Energy Consumption | kWh | 1027784254 | 1106402203 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Municipal Water Consumption | tons | 3445228 | 3743074 |
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 (Paper) | piece | 99525700 | 94763500 |
| Packaging Material Consumption (Plastic) | kg | 563900 | 631700 |
| Packaging Materials Consumed | piece | 17579900 | 247100 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Employees Aged 30-50 | 2137 | |
| Number of Employees Aged Above 50 | 490 | |
| Number of Employees Aged Below 30 | 2356 | |
| Number of Employees in Mainland China | 4525 | |
| Number of Employees in Vietnam | 458 | |
| Number of Female Employees | 1537 | |
| Number of Male Employees | 3446 | |
| Number of Total Employees | 4983 | |
| Percentage of Employees Aged 30-50 | % | 44.77 |
| Percentage of Employees Aged Above 50 | % | 10.81 |
| Percentage of Employees Aged Below 30 | % | 44.42 |
| Percentage of Female Employees | % | 69.52 |
| Percentage of Male Employees | % | 30.48 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Employees Trained | % | 89.2 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours (General Employees) | hours | 139 |
| Average Training Hours (General Staff) | hours | 139 |
| Average Training Hours (Senior Management) | hours | 82.5 |
| Average Training Hours per Employee | hours | 122 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit |
|---|---|
| Number of Invention Patents | patents |
| Number of New Patent Applications | patents |