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 |
|---|---|---|---|---|
| Boiler's Air Pollutant Emissions - NOx Emission | Tonnes | 9.9 | 4.8 | 55 |
| Boiler's Air Pollutant Emissions - PM Emission | Tonnes | 17.4 | 1.4 | 55 |
| Boiler's Air Pollutant Emissions - SOx Emission | Tonnes | 6.5 | 2.1 | 55 |
| Vehicle's Air Pollutant Emissions - CO Emission | kg | 1751 | 1295 | 55 |
| Vehicle's Air Pollutant Emissions - NOx Emission | kg | 1452 | 950 | 55 |
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 | Report Pages |
|---|---|---|---|
| Greenhouse gas emission density (Group) | tons/RMB 10000 of income | 0.13 | 42 |
| Total greenhouse gas emissions (Group) | tons | 23233 | 42 |
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 Intensity | Tonnes/ RMB 10000 of income | 0.036 | 0.038 | 55 |
| Diesel Consumption Intensity (Vehicle) | Liters/ vehicle | 2881 | 2693 | 55 |
| Electricity Consumption Intensity | kWh/ RMB 10000 of income | 80 | 70 | 55 |
| Gasoline Consumption Intensity (Vehicle) | Liters/ vehicle | 2268 | 3095 | 55 |
| Industrial Stream Consumption Intensity | Tonnes/ RMB 10000 of income | 0.18 | 0.17 | 55 |
| Specification Consumption Intensity | Thousand Pieces/ RMB 10000 of income | 0.5 | 0.4 | 55 |
| Total Coal Consumption | Tonnes | 5985 | 7055 | 55 |
| Total Diesel Consumption (Vehicle) | Liters | 34569 | 32314 | 55 |
| Total Electricity Consumption | kWh | 13209272 | 12943040 | 55 |
| Total Gasoline Consumption (Vehicle) | Liters | 79371 | 102136 | 55 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Total Industrial Stream Consumption | Tonnes | 29866 | 31921 | 55 |
| Total Water Consumption | Tonnes | 411375 | 384007 | 55 |
| Water Consumption Intensity | Tonnes/ RMB 10000 of income | 2.5 | 2.1 | 55 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Packing Box Consumption Intensity | Thousand Units/ RMB 10000 of income | 0.8 | 0.5 | 55 |
| Paper Box Consumption | Unit/ RMB 10000 of income | 3.9 | 2.8 | 55 |
| Total Packing Box Consumption | Thousand Units | 125051 | 92571 | 55 |
| Total Paper Box Consumption | Unit | 648905 | 520470 | 55 |
| Total Specification Consumption | Thousand Pieces | 80715 | 82841 | 55 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Ms. Li Qian, CEO of Consun Pharmaceutical, ranked on Forbes China Top 10 Women CEOs | rank | 4 | 7 |
| Number of Employees ((Deputy) Director Level) | persons | 73 | 29 |
| Number of Employees ((Deputy) Manager Level) | persons | 352 | 29 |
| Number of Employees ((Vice) President Level) | persons | 10 | 29 |
| Number of Employees (20-25 years old) | persons | 314 | 29 |
| Number of Employees (26-30 years old) | persons | 624 | 29 |
| Number of Employees (31-35 years old) | persons | 684 | 29 |
| Number of Employees (36-40 years old) | persons | 477 | 29 |
| Number of Employees (41-50 years old) | persons | 336 | 29 |
| Number of Employees (50 years old or above) | persons | 232 | 29 |
| Number of Employees (Chairman) | persons | 2 | 29 |
| Number of Employees (Female) | persons | 1193 | 29 |
| Number of Employees (General Staff Level) | persons | 2087 | 29 |
| Number of Employees (Male) | persons | 1474 | 29 |
| Number of Employees (Officer Level) | persons | 143 | 29 |
| Total Number of Employees | persons | 2667 | 29 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Percentage of employees trained (Director/Deputy Director Level) | % | 26 | 32 |
| Percentage of employees trained (Female) | % | 43 | 32 |
| Percentage of employees trained (Male) | % | 57 | 32 |
| Percentage of employees trained (Manager/Deputy Manager Level) | % | 31 | 32 |
| Percentage of employees trained (Officer Level) | % | 21 | 32 |
| Percentage of employees trained (Staff Level) | % | 22 | 32 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Average training hours per employee | hours | 4.5 | 32 |
| Total training hours of the Group | hours | 9687 | 32 |
Number of suppliers by geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of suppliers in Anhui | 10 | 26 | |
| Number of suppliers in Beijing | 4 | 26 | |
| Number of suppliers in Chongqing | 1 | 26 | |
| Number of suppliers in Guangdong | 26 | 26 | |
| Number of suppliers in Guangxi | 14 | 26 | |
| Number of suppliers in Hainan | 1 | 26 | |
| Number of suppliers in Hebei | 5 | 26 | |
| Number of suppliers in Henan | 2 | 26 | |
| Number of suppliers in Hubei | 3 | 26 | |
| Number of suppliers in Hunan | 4 | 26 | |
| Number of suppliers in Inner Mongolia | 4 | 26 | |
| Number of suppliers in Jiangsu | 6 | 26 | |
| Number of suppliers in Jiangxi | 2 | 26 | |
| Number of suppliers in Jilin | 5 | 26 | |
| Number of suppliers in Liaoning | 12 | 26 | |
| Number of suppliers in Shaanxi | 1 | 26 | |
| Number of suppliers in Shandong | 8 | 26 | |
| Number of suppliers in Shanghai | 5 | 26 | |
| Number of suppliers in Sichuan | 2 | 26 | |
| Number of suppliers in Tianjin | 1 | 26 | |
| Number of suppliers in Zhejiang | 9 | 26 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Uremic Clearance Granules awarded 2018 List of Healthy China’s Brands for third consecutive year | years | 3 | 7 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Inner Mongolia Consun products selected as 'Famous Branded Products of Autonomous Region' | products | 2 | 6 |
| Yulin Pharmaceutical awarded Top 100 Chinese National Medicine Brands | Top 100 | 7 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|
| Guangzhou Consun included as 'Guangdong Provincial Enterprise Technology Center' | certification | 1 | 6 | ||
| Guangzhou Consun recognized as 'Guangzhou Municipal Enterprise Technology Center' | certification | 1 | 6 | ||
| Inner Mongolia Consun awarded Certificate of 'High-tech Enterprise' | certificate | 1 | 6 | ||
| Yulin Pharmaceutical qualification as National Key Enterprise in Agricultural Industrialization | Qualified | 7 | |||
| Yulin Pharmaceutical ranking in Top 100 Chinese National Medicine Brands | rank | 51 | 33 | 7 | |
| Zheng Gu Shui of Yulin Pharmaceutical certified with CE marking of the European Union | certification | 1 | 6 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of Cosun Charity Association volunteers | volunteers | 106 | 49 |
| Number of poor families visited by poverty alleviation team in Tongliao City | families | 38 | 49 |
| Value of living materials provided to poor families in Tongliao City | RMB | 20000 | 49 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Airborne Particulate Matter (PM) Emissions | Tonnes | 17.4 | 1.4 |
| NOâ‚“ Emissions | Tonnes | 11.352 | 5.75 |
| PM10 Emissions | kg | ||
| PM2.5 Emissions | kg | ||
| SOâ‚“ Emissions | Tonnes | 6.5 | 2.1 |
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) | Tonnes | |
| GHG Emissions from Purchased Electricity | Tonnes | |
| GHG Removals from Newly Planted Trees | Tonnes | |
| HFC Emissions | Tonnes | |
| Indirect Energy Emissions (Scope 2) | Tonnes | |
| Mobile Combustion Emissions | Tonnes | |
| Stationary Combustion Emissions | Tonnes | |
| Total GHG Emissions | tons | 23233 |
| Total GHG Emissions Intensity (By Revenue) | tons/RMB 10000 of income | 0.13 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Disposal Rate of Hazardous Waste | % |
| Total Hazardous Waste Intensity (By Revenue) | Kg/ RMB 10000 of income |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Total Non-Hazardous Waste Intensity (By Employee) | kg/Employee |
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 | 34569 | 32314 |
| Fossil Fuel Consumption | Tonnes | 5985 | 7055 |
| Gasoline Consumption | Liters | 79371 | 102136 |
| Purchased Electricity | kWh | 13209272 | 12943040 |
| Total Electricity Consumption Intensity (By Revenue) | kWh/ RMB 10000 of income | 80 | 70 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Water Consumption | Tonnes | 411375 | 384007 |
| Water Consumption Intensity (By Revenue) | Tonnes/ RMB 10000 of income | 2.5 | 2.1 |
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) | Unit | 648905 | 520470 |
| Packaging Material Intensity (By Revenue) | Thousand Units/ RMB 10000 of income | 0.8 | 0.5 |
| Packaging Materials Consumed | Thousand Units | 125051 | 92571 |
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 | persons | 1497 |
| Number of Employees Aged Above 50 | persons | 232 |
| Number of Employees Aged Below 30 | persons | 938 |
| Number of Female Employees | persons | 1193 |
| Number of General Employees | persons | 2087 |
| Number of Junior Management Employees | persons | 143 |
| Number of Male Employees | persons | 1474 |
| Number of Middle Management Employees | persons | 425 |
| Number of Senior Management Employees | persons | 12 |
| Number of Total Employees | persons | 2667 |
| Percentage of Employees Aged 30-50 | % | 56.13 |
| Percentage of Employees Aged Above 50 | % | 8.7 |
| Percentage of Employees Aged Below 30 | % | 35.17 |
| Percentage of Female Employees | % | 44.74 |
| Percentage of General Employees | % | 78.25 |
| Percentage of Junior Management Employees | % | 5.36 |
| Percentage of Male Employees | % | 55.26 |
| Percentage of Middle Management Employees | % | 15.94 |
| Percentage of Senior Management Employees | % | 0.45 |
Lost days due to work injury.
| Standard Indicator | Unit |
|---|---|
| Lost Days Due to Work-related Injuries | Day |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Percentage of Employees Trained | % | 22 |
| Percentage of Trained Female Employees | % | 43 |
| Percentage of Trained General Employees | % | 22 |
| Percentage of Trained Male Employees | % | 57 |
| Percentage of Trained Middle Management | % | 31 |
| Percentage of Trained Operational Employees | % | 21 |
| Percentage of Trained Senior Management | % | 26 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Average Training Hours per Employee | hours | 4.5 |
| Total Training Hours | hours | 9687 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Suppliers in Mainland China | 120 | |
| Number of Total Suppliers | 120 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | RMB | 20000 |
| Number of Registered Volunteers | volunteers | 106 |