2019 Corporate social responsibility Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Ammonia nitrogen/ton | ton | 10.88 | 31 | ||
| CODCr for chemical oxygen demand/ton | ton | 111.4 | 31 | ||
| NOx emission | t | 24.59 | 20.14 | 15.72 | 21 |
| NOx/ton | ton | 15.72 | 31 | ||
| SO2/ton | ton | 3.45 | 31 |
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 | 2016 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Intensity of greenhouse gas emissions/ton/industrial production (ten-thousand yarn) | 0.02 | 31 | |||
| SO2 emission | t | 7.44 | 4.85 | 3.45 | 21 |
| Total greenhouse gas emissions/ton | ton | 108435.19 | 31 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Other hazardous waste/ton | ton | 1010.65 | 31 |
| Pharmaceutical waste (HW02) and Waste drugs (HW03)/ton | ton | 284.85 | 31 |
| Total amount of hazardous waste discharging/ton | ton | 1295.7 | 31 |
| Waste kettle bottom liquid reduced | t | 52.6 | 21 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Industrial waste/ton | ton | 1797.73 | 31 |
| Intensity of industrial waste/ kg /industrial production (ten-thousand yarn) | kg/ten-thousand yarn | 0.28 | 31 |
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 |
|---|---|---|---|
| Waste carbon paper reduced | t | 16.48 | 21 |
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 | Report Pages |
|---|---|---|---|
| Comprehensive energy consumption | ton | 86740.14 | 32 |
| Diesel consumption | l, liter | 495769.12 | 20, 32 |
| Gasoline consumption | l, liter | 412654.38 | 20, 32 |
| Intensity of electricity consumed per unit industrial production | kWh/ten-thousand yuan | 15.96 | 32 |
| Natural gas consumption | 10000 m3, ten-thousand m³ | 1866.48 | 20, 32 |
| Purchased electricity | kWh | 103635035.21 | 32 |
| Purchased steam | 8845.94 | 32 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Industrial waste water/ton | ton | 1776125.6 | 31 |
| Intensity of industrial waste water/ton/industrial | 0.27 | 31 | |
| Intensity of water consumed per unit industrial production | ton/ten-thousand yuan | 0.51 | 32 |
| Water consumption | ton | 3323766.3 | 32 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Municipal and district-level science and technology awards won | 32 | 11 | |
| National scientific research platforms accumulated | 10 | 11 | |
| Provincial and ministerial science and technology awards won | 41 | 11 | |
| Provincial scientific research platforms accumulated | 39 | 11 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of employees between 30 to 50 years old | persons | 16589 | 32 |
| Number of employees over 50 years old | persons | 1672 | 32 |
| Number of employees under 30 years old | persons | 7592 | 32 |
| Number of female employees | persons | 9471 | 32 |
| Number of male employees | persons | 16382 | 32 |
| Social insurance coverage rate | 100% | 24 | |
| Total number of employees | persons | 25853 | 32 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee turnover rate | % | 10.5 | 32 |
| Employee turnover rate 50 years old or above | % | 0.5 | 32 |
| Employee turnover rate between 30 and 50 years old | % | 9.44 | 32 |
| Employee turnover rate under 30 years old | % | 7.06 | 32 |
| Female staff turnover | % | 3.77 | 32 |
| Male staff turnover | % | 12.8 | 32 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of deaths due to work | 1 | 32 |
Lost days due to work injury.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Safety award | million RMB | 6.266 | 25 |
| Total days of work injury | 747 | 32 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Comprehensive investment in occupational health and safety | million RMB | 18.19 | 25 |
| Emergency drill investment | RMB | 360000 | 25 |
| Firefighting equipment investment | million RMB | 6.76 | 25 |
| Hazard notification investment | million RMB | 7.6 | 25 |
| Labor protection investment | million RMB | 9.6 | 25 |
| Number of safety drills | time | 2534 | 32 |
| Number of safety-related training | time | 4648 | 32 |
| Safety month investment | RMB | 540000 | 25 |
| Safety-related training duration | hour | 148634.75 | 32 |
| Safety-related training person-time | person-time | 41931 | 32 |
| Total investment in work safety | million RMB | 85.47 | 25 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of people receiving vocational training | person/time | 199 | 28 |
| Publicity and training investment | million RMB | 1.35 | 25 |
| Total number of trainees | person-time | 142098 | 32 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Staff training hours per person | hour | 40.53 | 32 |
| Total staff training duration | hour | 1047793.3 | 32 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Materials trade | RMB 10000 | 3.51 | 28 |
| Production approvals (including supplementary application approvals) | 13 | 11 | |
| Production approvals - Baiyunshan Pharmaceutical General Factory | 1 | 11 | |
| Production approvals - Chemical Pharmaceutical Factory | 1 | 11 | |
| Production approvals - Cheng Li | 1 | 11 | |
| Production approvals - Guang Xi Ying Kang | 3 | 11 | |
| Production approvals - Guangzhou Han Fang | 1 | 11 | |
| Production approvals - Qi Xing | 5 | 11 | |
| Production approvals - Tian Xin | 1 | 11 | |
| Production approvals and supplementary application approvals applied for | 80 | 11 | |
| Production approvals and supplementary application approvals obtained | 5 | 11 | |
| Supply chain management - Central China | % | 8.18 | 32 |
| Supply chain management - East China | % | 28.12 | 32 |
| Supply chain management - North China | % | 8.75 | 32 |
| Supply chain management - Northeast China | % | 1.72 | 32 |
| Supply chain management - Northwest China | % | 2.73 | 32 |
| Supply chain management - South China | % | 4.33 | 32 |
| Supply chain management - Southwest China | % | 5.16 | 32 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Clinical approval obtained | 1 | 11 | |
| Complaints (involving product quality, service quality) | time | 3064 | 32 |
| Equipment modification investment | million RMB | 4.8 | 25 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Domestic patents | 450 | 11 | |
| Foreign invention patents granted | 1 | 11 | |
| Foreign patents | 14 | 11 | |
| National invention patents applied for | 44 | 11 | |
| National invention patents granted | 17 | 11 | |
| Total invention patents | 464 | 11 | |
| Utility model patents applied for | 17 | 11 | |
| Utility model patents granted | 8 | 11 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number industrial poverty alleviation projects | piece | 12 | 28 |
| Second prize of national technical invention award won | 1 | 11 | |
| Second prizes of national scientific and technological award won | 2 | 11 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Amount invested in industrial poverty alleviation projects | RMB 10000 | 14.34 | 28 |
| Amount invested in subsidizing poor students | RMB 10000 | 3.99 | 28 |
| Donations | ten-thousand yuan | 581.56 | 32 |
| Fund | RMB 10000 | 164.55 | 28 |
| Number of poor people helped to be removed from administrative record for poverty registering | person | 27 | 28, 29 |
| Number of poor people helped to be removed from administrative record for poverty registering (industrial poverty alleviation) | person | 10 | 28 |
| Number of poor people helped to obtain employment in administrative record for poverty registering | person | 72 | 28 |
| Number of students receiving allowance | person | 57 | 28 |
| Number of volunteers | persons | 2683 | 32 |
| Value of items donated | ten-thousand yuan | 851.37 | 32 |
| Volunteer hours | hour | 10391 | 32 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| NOₓ Emissions | t | 24.59 | 20.14 | 15.72 |
| SOₓ Emissions | ton | 3.45 |
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 | 2019 |
|---|---|---|
| Total GHG Emissions | ton | 108435.19 |
| Total GHG Emissions Intensity (By Product Volume) | ton/ten-thousand yarn | 0.02 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Hazardous Waste | ton | 1295.7 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Non-Hazardous Waste Intensity (By Unit Product) | kg/ten-thousand yarn | 0.28 |
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 | 2019 |
|---|---|---|
| Diesel Fuel Consumption | liter | 495769.12 |
| Gasoline Consumption | liter | 412654.38 |
| Grid Electricity Consumption | kWh | 103635035.21 |
| Natural Gas Consumption | ten-thousand m³ | 1866.48 |
| Purchased Electricity | kWh | 103635035.21 |
| Purchased Steam | ton | 8845.94 |
| Total Electricity Consumption Intensity (By Revenue) | kWh/ten-thousand yuan | 15.96 |
| Total Energy Consumption | ton | 86740.14 |
| Total Indirect Energy Consumption | kWh | 103635035.21 |
| Total Purchased Energy | kWh | 103635035.21 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Discharge of Domestic Wastewater | ton | 455132.49 |
| Discharge of Industrial Wastewater | ton | 1776125.6 |
| Total Wastewater Discharge | ton | 2231258.09 |
| Total Water Withdrawal | ton | 3323766.3 |
| Wastewater Discharge Intensity | ton/ten-thousand yuan | 0.27 |
| Water Consumption | ton | 3323766.3 |
| Water Consumption Intensity (By Revenue) | ton/ten-thousand yuan | 0.51 |
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 | persons | 16589 |
| Number of Employees Aged Above 50 | persons | 1672 |
| Number of Employees Aged Below 30 | persons | 7592 |
| Number of Female Employees | persons | 9471 |
| Number of Male Employees | persons | 16382 |
| Number of Total Employees | persons | 25853 |
| Percentage of Employees Aged 30-50 | % | 64.19 |
| Percentage of Employees Aged Above 50 | % | 6.46 |
| Percentage of Employees Aged Below 30 | % | 29.37 |
| Percentage of Female Employees | % | 36.62 |
| Percentage of Male Employees | % | 63.38 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 9.44 |
| Turnover Rate of Employees Aged Above 50 | % | 0.5 |
| Turnover Rate of Employees Aged Below 30 | % | 7.06 |
| Turnover Rate of Female Employees | % | 3.77 |
| Turnover Rate of Male Employees | % | 12.8 |
| Turnover Rate of Total Employees | % | 10.5 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | 1 | |
| Number of Work-related Fatalities | 1 |
Lost days due to work injury.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 747 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Work Safety | million RMB | 85.47 |
| Number of People Receiving Training on Work Safety | person-time | 41931 |
| Number of Production Safety Emergency Drills | time | 2534 |
| Total Hours of Safety Training for Employees | hour | 148634.75 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Cost of Training | million RMB | 1.35 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours per Employee | hour | 40.53 |
| Total Training Hours | hour | 1047793.3 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Suppliers in Central China | % | 8.18 |
| Number of Suppliers in East China | % | 28.12 |
| Number of Suppliers in North China | % | 8.75 |
| Number of Suppliers in Northeast China | % | 1.72 |
| Number of Suppliers in Northwest China | % | 2.73 |
| Number of Suppliers in South China | % | 4.33 |
| Number of Suppliers in Southwest China | % | 5.16 |
| Proportion of Spending on Local Suppliers | % | 100 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Products and Service Related Complaints | time | 3064 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Authorised Utility Model Patents | 8 | |
| Number of Invention Patents | 17 | |
| Number of New Patent Applications | 61 | |
| Number of Patents Applied | 61 | |
| Number of Patents Granted | 26 | |
| Number of Patents Held | 464 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Education Donation | RMB 10000 | 3.99 |
| Investment in Targeted Poverty Alleviation | RMB 10000 | 21.83 |
| Number of Registered Volunteers | persons | 2683 |
| Total In-kind Donations | ten-thousand yuan | 851.37 |
| Total Public Welfare Donations | ten-thousand yuan | 581.56 |
| Total Volunteer Service Hours | hour | 10391 |