Environmental, Social and Governance Report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Amount of significant spill | tonnes | N.A. | N.A. | - | 17 |
| Dust | tonnes | 1.68 | 15 | ||
| Exhaust gas emission concentration after standard upgrade for 1# and 2# Boilers (NOx) | mg/m³ | ≤50 | 20 | ||
| Exhaust gas emission concentration after standard upgrade for 1# and 2# Boilers (SO2) | mg/m³ | ≤35 | 20 | ||
| Exhaust gas emission concentration after standard upgrade for 1# and 2# Boilers (dust) | mg/m³ | ≤10 | 20 | ||
| Nitrogen oxides (NOx) | tonnes | 13.63 | 15 | ||
| Number of significant spill | number | N.A. | N.A. | - | 17 |
| Sulphur dioxide (SO2) | tonnes | 3.78 | 15 | ||
| Total emission of exhaust gases | tonnes | 25.04 | 19.09 | 20 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Direct GHG emissions (Scope 1) | tCO2e | 111082 | 15 | |
| GHG Intensity (tCO2e/EBITDA in RMB'000000) | tCO2e/EBITDA (in RMB'000000) | 170.664 | 15 | |
| GHG Intensity (tCO2e/employee) | tCO2e/employee | 39.31 | 15 | |
| GHG Intensity (tCO2e/sales in RMB'000000) | tCO2e/sales (in RMB'000000) | 53.63 | 15 | |
| Indirect GHG emissions (Scope 2) | tCO2e | 9492 | 15 | |
| Indirect GHG emissions (Scope 3) | tCO2e | 24561 | 15 | |
| Total GHG emissions | tCO2e | 145465 | 145135 | 20 |
| Total GHG emissions (Scope 1, 2 and 3) | tCO2e | 145135 | 15 | |
| Total GHG emissions per employee | tCO2e/employee | 39.86 | 39.31 | 20 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Hazardous waste intensity (tonnes/EBITDA, in RMB'000000) | tonnes/EBITDA | 0.001 | 16 | |
| Hazardous waste intensity (tonnes/employee) | tonnes/employee | 0.0002 | 16 | |
| Hazardous waste intensity (tonnes/sales, in RMB'000000) | tonnes/sales | 0.0003 | 16 | |
| Hazardous waste liquid | tonnes | 0.88 | 16 | |
| Total hazardous waste | tonnes | 0.88 | 16 | |
| Total wastewater discharge per employee | tonnes/employee | 106 | 21 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Boiler slag (non-hazardous waste) | tonnes | 2164 | 16 | |
| Chinese medicine waste residue (non-hazardous waste) | tonnes | 13473 | 16 | |
| Non-hazardous waste intensity (tonnes/EBITDA, in RMB'000000) | tonnes/EBITDA | 18.39 | 16 | |
| Non-hazardous waste intensity (tonnes/employee) | tonnes/employee | 4.24 | 16 | |
| Non-hazardous waste intensity (tonnes/sales, in RMB'000000) | tonnes/sales | 5.78 | 16 | |
| Total amount of non-hazardous waste generated | tonnes | 11600 | 21 | |
| Total amount of non-hazardous waste generated per employee | tonnes/employee | 3.18 | 21 | |
| Total non-hazardous waste (comprehensive utilisation) | tonnes | 15637 | 16 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Wastewater intensity (tonnes/EBITDA, in RMB'000000) | tonnes/EBITDA | 358.78 | 16 |
| Wastewater intensity (tonnes/employee) | tonnes/employee | 82.64 | 16 |
| Wastewater intensity (tonnes/sales, in RMB'000000) | tonnes/sales | 112.75 | 16 |
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 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Electricity consumption | kWh | 10591800 | 16 | |
| Electricity consumption per employee | kWh/employee | 4377.42 | 23 | |
| Electricity intensity (kWh/EBITDA, in RMB'000000) | kWh/EBITDA | 12454.93 | 16 | |
| Electricity intensity (kWh/employee) | kWh/employee | 2868.85 | 16 | |
| Electricity intensity (kWh/sales, in RMB'000000) | kWh/sales | 3914.2 | 16 | |
| Purchased electricity | kWh | 15973000 | 23 | |
| Steam consumption | tonnes | 273260 | 16 | |
| Steam consumption per employee | tonnes/employee | 70.79 | 23 | |
| Steam intensity (tonnes/EBITDA, in RMB'000000) | tonnes/EBITDA | 321.33 | 16 | |
| Steam intensity (tonnes/employee) | tonnes/employee | 74.01 | 16 | |
| Steam intensity (tonnes/sales, in RMB'000000) | tonnes/sales | 100.98 | 16 | |
| Total steam consumption | tonnes | 258272 | 23 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total sewage discharge | tonnes | 385750 | 21 | ||
| Wastewater (sewage discharge) | tonnes | 305112 | 16 | ||
| Water consumption | tonnes | 735000 | 530000 | 350555 | 17 |
| Water consumption intensity (tonnes/EBITDA in RMB'000000) | tonnes/EBITDA (in RMB'000000) | N.A. | N.A. | 412.22 | 17 |
| Water consumption intensity (tonnes/employee) | tonnes/employee | 213.54 | 145.25 | 94.95 | 17 |
| Water consumption intensity (tonnes/sales in RMB'000000) | tonnes/sales (in RMB'000000) | N.A. | N.A. | 129.55 | 17 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Carton packaging material used | boxes | 1553187 | 1603861 | 1490211 | 17 |
| Instructions packaging material used | pieces | 189554951 | 203026433 | 179131232 | 17 |
| Packing box packaging material used | boxes | 184577852 | 195801489 | 172646006 | 17 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Environmental fine | RMB | - | - | - | 17 |
| Environmental non-compliance cases | number | - | - | - | 17 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Department heads (number) | employees | 179 | 28 |
| Department heads (percentage) | percent | 4.8% | 28 |
| Employees 30-39 years old (number) | employees | 1782 | 28 |
| Employees 30-39 years old (percentage) | percent | 48.3% | 28 |
| Employees 40-49 years old (number) | employees | 379 | 28 |
| Employees 40-49 years old (percentage) | percent | 10.3% | 28 |
| Employees 50-59 years old (number) | employees | 94 | 28 |
| Employees 50-59 years old (percentage) | percent | 2.5% | 28 |
| Employees 60 years old or above (number) | employees | 3 | 28 |
| Employees 60 years old or above (percentage) | percent | 0.1% | 28 |
| Employees below 30 years old (number) | employees | 1434 | 28 |
| Employees below 30 years old (percentage) | percent | 38.8% | 28 |
| Employees distribution by age group: 30-39 years old | % | 48.3 | 32 |
| Employees distribution by age group: 40-49 years old | % | 10.3 | 32 |
| Employees distribution by age group: 50-59 years old | % | 2.5 | 32 |
| Employees distribution by age group: 60 years old or above | % | 0.1 | 32 |
| Employees distribution by age group: below 30 years old | % | 38.8 | 32 |
| Employees distribution by category: Company representative | % | 0.2 | 32 |
| Employees distribution by category: Department head | % | 4.8 | 32 |
| Employees distribution by category: Frontline employees (non-technical) | % | 33.2 | 32 |
| Employees distribution by category: Frontline employees (technical) | % | 43.4 | 32 |
| Employees distribution by category: Office employees | % | 18.4 | 32 |
| Employees distribution by geographical region: Beijing | % | 0.1 | 32 |
| Employees distribution by geographical region: Guangdong | % | 0.1 | 32 |
| Employees distribution by geographical region: Hebei | % | 73.6 | 32 |
| Employees distribution by geographical region: Others | % | 14.4 | 32 |
| Employees distribution by geographical region: Shandong | % | 2.1 | 32 |
| Employees distribution by geographical region: Sichuan | % | 3.9 | 32 |
| Employees distribution by geographical region: Yunnan | % | 5.8 | 32 |
| Employees in Beijing (number) | employees | 5 | 28 |
| Employees in Beijing (percentage) | percent | 0.1% | 28 |
| Employees in Guangdong (number) | employees | 4 | 28 |
| Employees in Guangdong (percentage) | percent | 0.1% | 28 |
| Employees in Hebei (number) | employees | 2715 | 28 |
| Employees in Hebei (percentage) | percent | 73.6% | 28 |
| Employees in Shandong (number) | employees | 78 | 28 |
| Employees in Shandong (percentage) | percent | 2.1% | 28 |
| Employees in Sichuan (number) | employees | 144 | 28 |
| Employees in Sichuan (percentage) | percent | 3.9% | 28 |
| Employees in Yunnan (number) | employees | 213 | 28 |
| Employees in Yunnan (percentage) | percent | 5.8% | 28 |
| Employees in other regions (number) | employees | 533 | 28 |
| Employees in other regions (percentage) | percent | 14.4% | 28 |
| Ethnic minorities (number of employees) | employees | 114 | 28 |
| Ethnic minorities (percentage of total employees) | percent | 3.1% | 28 |
| Female employees (number) | employees | 1832 | 28 |
| Female employees (percentage) | percent | 49.6% | 28 |
| Frontline employees (non-technical, number) | employees | 1224 | 28 |
| Frontline employees (non-technical, percentage) | percent | 33.2% | 28 |
| Frontline employees (technical, number) | employees | 1599 | 28 |
| Frontline employees (technical, percentage) | percent | 43.4% | 28 |
| Male employees (number) | employees | 1860 | 28 |
| Male employees (percentage) | percent | 50.4% | 28 |
| New employee percentage (30-39 years old) | 21% | 29 | |
| New employee percentage (40-49 years old) | 7% | 29 | |
| New employee percentage (50-59 years old) | 3% | 29 | |
| New employee percentage (60 years old or above) | 0% | 29 | |
| New employee percentage (Beijing) | 19% | 29 | |
| New employee percentage (Guangdong) | 39% | 29 | |
| New employee percentage (Hebei) | 4% | 29 | |
| New employee percentage (Others) | 66% | 29 | |
| New employee percentage (Shandong) | 5% | 29 | |
| New employee percentage (Sichuan) | 28% | 29 | |
| New employee percentage (Yunnan) | 40% | 29 | |
| New employee percentage (below 30 years old) | 43% | 29 | |
| New employee percentage (female) | 25% | 29 | |
| New employee percentage (male) | 30% | 29 | |
| New employee percentage (total) | 27% | 29 | |
| Number of female employees | 1832 | 32 | |
| Number of male employees | 1860 | 32 | |
| Number of new employees (30-39 years old) | 381 | 29 | |
| Number of new employees (40-49 years old) | 27 | 29 | |
| Number of new employees (50-59 years old) | 3 | 29 | |
| Number of new employees (Beijing) | 5 | 29 | |
| Number of new employees (Guangdong) | 8 | 29 | |
| Number of new employees (Hebei) | 405 | 29 | |
| Number of new employees (Others) | 468 | 29 | |
| Number of new employees (Shandong) | 5 | 29 | |
| Number of new employees (Sichuan) | 37 | 29 | |
| Number of new employees (Yunnan) | 79 | 29 | |
| Number of new employees (below 30 years old) | 596 | 29 | |
| Number of new employees (female) | 455 | 29 | |
| Number of new employees (male) | 552 | 29 | |
| Number of new employees (total) | 1007 | 29 | |
| Office employees (number) | employees | 681 | 28 |
| Office employees (percentage) | percent | 18.4% | 28 |
| Percentage of female employees | % | 49.6 | 32 |
| Percentage of female in middle and senior management | % | 36.7 | 32 |
| Percentage of male employees | % | 50.4 | 32 |
| Total employees | employees | 3692 | 28 |
| Total number of employees | 3692 | 32 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee turnover percentage (30-39 years old) | 23% | 29 | |
| Employee turnover percentage (40-49 years old) | 17% | 29 | |
| Employee turnover percentage (50-59 years old) | 20% | 29 | |
| Employee turnover percentage (60 years old or above) | 25% | 29 | |
| Employee turnover percentage (Beijing) | 30% | 29 | |
| Employee turnover percentage (Guangdong) | 20% | 29 | |
| Employee turnover percentage (Hebei) | 5% | 29 | |
| Employee turnover percentage (Others) | 55% | 29 | |
| Employee turnover percentage (Shandong) | 7% | 29 | |
| Employee turnover percentage (Sichuan) | 22% | 29 | |
| Employee turnover percentage (Yunnan) | 24% | 29 | |
| Employee turnover percentage (below 30 years old) | 32% | 29 | |
| Employee turnover percentage (female) | 22% | 29 | |
| Employee turnover percentage (male) | 29% | 29 | |
| Employee turnover percentage (total) | 26% | 29 | |
| Number of employee turnover (30-39 years old) | 421 | 29 | |
| Number of employee turnover (40-49 years old) | 63 | 29 | |
| Number of employee turnover (50-59 years old) | 18 | 29 | |
| Number of employee turnover (60 years old or above) | 1 | 29 | |
| Number of employee turnover (Beijing) | 8 | 29 | |
| Number of employee turnover (Guangdong) | 4 | 29 | |
| Number of employee turnover (Hebei) | 452 | 29 | |
| Number of employee turnover (Others) | 389 | 29 | |
| Number of employee turnover (Shandong) | 7 | 29 | |
| Number of employee turnover (Sichuan) | 29 | 29 | |
| Number of employee turnover (Yunnan) | 48 | 29 | |
| Number of employee turnover (below 30 years old) | 434 | 29 | |
| Number of employee turnover (female) | 408 | 29 | |
| Number of employee turnover (male) | 529 | 29 | |
| Number of employee turnover (total) | 937 | 29 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Number of work injuries | 2 | 4 | 29 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Lost days due to work injuries | 268 | 198 | 29 | |
| Lost time from accidents | 1584 | 29 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Training cost (RMB) | RMB | 1102870 | 30 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average training hours (company representative) | hours | 26.2 | 30 |
| Average training hours (company representative) percentage | 100% | 30 | |
| Average training hours (department head) | hours | 5.2 | 30 |
| Average training hours (department head) percentage | 99% | 30 | |
| Average training hours (female) | hours | 1.2 | 30 |
| Average training hours (female) percentage | 98% | 30 | |
| Average training hours (frontline employees, non-technical) | hours | 0.7 | 30 |
| Average training hours (frontline employees, non-technical) percentage | 98% | 30 | |
| Average training hours (frontline employees, technical) | hours | 0.8 | 30 |
| Average training hours (frontline employees, technical) percentage | 97% | 30 | |
| Average training hours (male) | hours | 1.2 | 30 |
| Average training hours (male) percentage | 97% | 30 | |
| Average training hours (office employees) | hours | 1.5 | 30 |
| Average training hours (office employees) percentage | 99% | 30 | |
| Training hours (total) | hours | 4347 | 30 |
| Training hours completion percentage | 98% | 30 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Total number of qualified suppliers | 239 | 30 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Total authorized invention patents | 94 | 30 | |
| Total foreign invention patents | 11 | 30 | |
| Total invention patents applied | 236 | 30 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | tonnes | 1.68 |
| NOₓ Emissions | tonnes | 13.63 |
| SOₓ Emissions | tonnes | 3.78 |
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 | 111082 | |
| Indirect Energy Emissions (Scope 2) | tCO2e | 9492 | |
| Total GHG Emissions | tCO2e | 145465 | 145135 |
| Total GHG Emissions Intensity (By Employee) | tCO2e/employee | 39.86 | 39.31 |
| Total Other Indirect Energy Emissions (Scope 3) | tCO2e | 24561 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Hazardous Waste (Liquid Waste) | tonnes | 0.88 |
| Total Hazardous Waste | tonnes | 0.88 |
| Total Hazardous Waste Intensity (By Employee) | tonnes/employee | 0.0002 |
| Total Hazardous Waste Intensity (By Revenue) | tonnes/EBITDA | 0.001 |
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 |
|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Employee) | tonnes/employee | 3.18 | 4.24 |
| Total Non-Hazardous Waste Intensity (By Revenue) | tonnes/EBITDA | 5.78 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Dust Reduction Compared to Last Year | mg/m³ |
| NOx Emissions Reduction Compared to Last Year | mg/m³ |
| SO2 Emissions Reduction Compared to Last Year | mg/m³ |
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 |
|---|---|---|---|
| Purchased Electricity | kWh | 15973000 | 10591800 |
| Purchased Electricity Intensity (By EBITDA) | kWh/EBITDA | 12454.93 | |
| Purchased Electricity Intensity (By Employee) | kWh/employee | 4377.42 | 2868.85 |
| Purchased Electricity Intensity (By Revenue) | kWh/sales | 3914.2 | |
| Purchased Steam | tonnes | 258272 | 273260 |
| Purchased Steam Intensity (By EBITDA) | tonnes/EBITDA | 321.33 | |
| Purchased Steam Intensity (By Employee) | tonnes/employee | 70.79 | 74.01 |
| Purchased Steam Intensity (By Revenue) | tonnes/sales | 100.98 | |
| Total Energy Consumption | kWh | 10591800 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Wastewater Discharge | tonnes | 305112 | 385750 | 305112 |
| Water Consumption | tonnes | 735000 | 530000 | 350555 |
| Water Consumption Intensity (By Revenue) | tonnes/sales (in RMB'000000) | None | None | 129.55 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Packaging Materials Consumed | units | 371026990 | 400831783 | 353267449 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit |
|---|---|
| Total Investment in Ecological Restoration | million RMB |
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 | employees | 2161 |
| Number of Employees Aged Above 50 | employees | 97 |
| Number of Employees Aged Below 30 | employees | 1434 |
| Number of Female Employees | employees | 1832 |
| Number of Male Employees | employees | 1860 |
| Number of New Employees | employees | 1007 |
| Number of New Employees (Above 50) | employees | 3 |
| Number of New Employees (Aged 30-50) | employees | 408 |
| Number of New Employees (Aged Below 30) | employees | 596 |
| Number of New Employees (Female) | employees | 455 |
| Number of New Employees (Male) | employees | 552 |
| Number of Total Employees | employees | 3692 |
| Percentage of Employees Aged 30-50 | % | 58.6 |
| Percentage of Employees Aged Above 50 | % | 2.6 |
| Percentage of Employees Aged Below 30 | % | 38.8 |
| Percentage of Female Employees | % | 49.6 |
| Percentage of Male Employees | % | 50.4 |
| Percentage of New Employees | % | 27 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 23 |
| Turnover Rate of Employees Aged Above 50 | % | 22.5 |
| Turnover Rate of Employees Aged Below 30 | % | 32 |
| Turnover Rate of Female Employees | % | 22 |
| Turnover Rate of Male Employees | % | 29 |
| Turnover Rate of Total Employees | % | 26 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 268 | 198 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Cost of Training | RMB | 1102870 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours (Female) | hours | 1.2 |
| Average Training Hours (Male) | hours | 1.2 |
| Average Training Hours per Employee | hours | 26.2 |
| Total Training Hours | hours | 4347 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Total Suppliers | 239 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Invention Patents | 94 | |
| Number of Patents Applied | 236 |