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 | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Ammonia-nitrogen discharge | Tons | 2.07 | 3.65 | 75 |
Ammonia-nitrogen discharge (tons) | tons | 2.07 | 3.65 | 44 |
Cumulative nitrogen oxides emissions year-on-year change | -44% | 44 | ||
Cumulative sulphur dioxide emissions year-on-year change | -57% | 44 | ||
Nitrogen oxides emissions | Tons, tons | 96.45 | 54.13 | 46, 75 |
Particulate matter concentration reduction from coal-to-gas boiler conversion at Jilin Zhen'ao | % | -61 | 45 | |
Particulate matter emissions | Tons, tons | 27.53 | 9.08 | 46, 75 |
Particulate matter emissions year-on-year change | -67% | 44 | ||
Sulphur dioxide concentration reduction from coal-to-gas boiler conversion at Jilin Zhen'ao | % | -100 | 45 | |
Sulphur dioxide emissions | Tons, tons | 110.11 | 47.39 | 46, 75 |
Total chemical oxygen demand | Tons | 96.93 | 40.22 | 75 |
Total chemical oxygen demand (tons) | tons | 96.93 | 40.22 | 44 |
Total exhaust gas emissions | 10000 standard cubic meters | 26814.69 | 60920.68 | 46, 75 |
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 |
---|---|---|---|---|
Greenhouse gas emission intensity | Tons of carbon dioxide equivalent/thousand RMB revenue | 0.03 | 0.03 | 75 |
Greenhouse gas emissions (Scope 1) | Tons of carbon dioxide equivalent | 55110.19 | 39605.97 | 75 |
Greenhouse gas emissions (Scope 2) | Tons of carbon dioxide equivalent | 36269.07 | 53065.02 | 75 |
Intensity (tons of carbon dioxide equivalent / thousand RMB revenue) | tons of carbon dioxide equivalent / thousand RMB revenue | 0.03 | 0.03 | 48 |
Scope 1: Direct emissions (tons of carbon dioxide equivalent) | tons of carbon dioxide equivalent | 55110.19 | 39605.97 | 48 |
Scope 2: Indirect emissions (tons of carbon dioxide equivalent) | tons of carbon dioxide equivalent | 36269.07 | 53065.02 | 48 |
Total greenhouse gas emissions | Tons of carbon dioxide equivalent | 91379.26 | 92670.99 | 75 |
Total greenhouse gas emissions (tons of carbon dioxide equivalent) | tons of carbon dioxide equivalent | 91379.26 | 92670.99 | 48 |
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 | Tons | 118.87 | 848.53 | 76 |
Hazardous waste (tons) | tons | 118.87 | 848.53 | 47 |
Intensity of hazardous waste | Kg/thousand RMB revenue | 0.04 | 0.29 | 76 |
Intensity of hazardous waste (kg/thousand RMB revenue) | kg/thousand RMB revenue | 0.04 | 0.29 | 47 |
Liquid hazardous waste | Tons | Undisclose | 706.9 | 76 |
Liquid hazardous waste (tons) | tons | Undisclose | 706.9 | 47 |
Solid hazardous waste | Tons | Undisclose | 141.63 | 76 |
Solid hazardous waste (tons) | tons | Undisclose | 141.63 | 47 |
Total wastewater discharge (tons) | tons | 357486.41 | 344490.39 | 44 |
Total wastewater discharged | Tons | 357486.41 | 344490.39 | 75 |
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 |
---|---|---|---|---|
Daily garbage | Tons | 887.9 | 809.64 | 76 |
Daily garbage (tons) | tons | 887.9 | 809.64 | 47 |
General industrial solid waste | Tons | 9831.13 | 6586.51 | 76 |
General industrial solid waste (tons) | tons | 9831.13 | 6586.51 | 47 |
Intensity of non-hazardous waste | Kg/thousand RMB revenue | 3.67 | 2.56 | 76 |
Intensity of non-hazardous waste (kg/thousand RMB revenue) | kg/thousand RMB revenue | 3.67 | 2.56 | 47 |
Non-hazardous waste | Tons | 10719.03 | 7396.15 | 76 |
Non-hazardous waste (tons) | tons | 10719.03 | 7396.15 | 47 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Nitrogen oxides concentration reduction from coal-to-gas boiler conversion at Jilin Zhen'ao | % | -55 | 45 |
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 |
---|---|---|---|---|
Coal consumption | Tons | 13664.4 | 77 | |
Diesel consumption | Liter | 26182.34 | 77 | |
Direct energy consumption | KWh | 124731346.06 | 77 | |
Energy consumption density | kWh/thousand RMB revenue | 77.8 | 68.51 | 52 |
Energy consumption intensity | KWh/thousand RMB revenue | 77.8 | 68.51 | 77 |
Gasoline consumption | Liter | 184852.23 | 77 | |
Indirect energy consumption | KWh | 73058094.27 | 77 | |
Liquefied petroleum gas consumption | cubic meter | 10264.59 | 77 | |
Pipeline natural gas consumption | cubic meter | 4392075.8 | 77 | |
Purchased heat | GJ | 83886.57 | 77 | |
Total electricity consumption | KWh | 49914563.6 | 77 | |
Total energy consumption | KWh, kWh | 227039500 | 197789440.33 | 52, 77 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Total water consumption | cubic meter | 842959 | 709639.34 | 52, 77 |
Water consumption intensity | cubic meter/thousand RMB revenue | 0.29 | 0.25 | 52, 77 |
Water saved by precise washing machine project | tons | 6107 | 52 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Investment in gas-fired boiler conversion at Jilin Zhen'ao | million RMB | 3.55 | 45 |
Jilin Jinsheng: Number of days system operated for recovery and conversion of condensate water into heat | days | 207 | 51 |
Jilin Jinsheng: Steam saved by recovery and conversion of condensate water into heat | tons | 1691.6 | 51 |
Jilin Zhen'ao: Coal saved by utility system upgrade in terms of exhaust gas and waste water recycling | tons | 51 | 51 |
Jilin Zhen'ao: Steam saved by utility system upgrade in terms of exhaust gas and waste water recycling | tons | 204 | 51 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Jilin Zhen'ao: Water saved by utility system upgrade in terms of exhaust gas and waste water recycling | tons | 200 | 51 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Office paper consumption | Kg | 270643.98 | 77 | |
Packaging material consumption intensity | Kg/thousand RMB revenue, kg/thousand RMB revenue | 1.09 | 1.11 | 52, 77 |
Total packaging material consumption | tons | 3180.47 | 3198.9 | 52 |
Total packaging materials consumption | Tons | 3180.47 | 3198.9 | 77 |
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 |
---|---|---|---|
Ecological environmental protection project construction area | m² | 42497 | 74 |
Ecological environmental protection project floor area | m² | 211758.52 | 74 |
Ecological environmental protection project number of individual buildings | 30 | 74 | |
Ecological environmental protection project total investment | million RMB | 350 | 74 |
Number of internal EHS audit exercises completed | 14 | 38 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Total workforce by academic qualification - Academy or below | % | 52.28 | 56 |
Total workforce by academic qualification - Bachelor degree | % | 36.69 | 56 |
Total workforce by academic qualification - Doctor degree | % | 1.2 | 56 |
Total workforce by academic qualification - Master degree | % | 9.83 | 56 |
Total workforce by age - 31–50 years old | % | 60.59 | 56 |
Total workforce by age - Above 50 years old | % | 4.11 | 56 |
Total workforce by age - Below 30 years old | % | 35.3 | 56 |
Total workforce by employment type - Dispatched employee | % | 0.52 | 56 |
Total workforce by employment type - Full-time employee | % | 98.98 | 56 |
Total workforce by employment type - Intern | % | 0.47 | 56 |
Total workforce by employment type - Part-time employee | % | 0.03 | 56 |
Total workforce by gender - Female | % | 57.62 | 56 |
Total workforce by gender - Male | % | 42.38 | 56 |
Total workforce by geographical region - Employees in China | % | 99.68 | 56 |
Total workforce by geographical region - Overseas employees | % | 0.32 | 56 |
Total workforce by grade - Director or above | % | 2.57 | 56 |
Total workforce by grade - General staff | % | 87.53 | 56 |
Total workforce by grade - Manager or head | % | 9.9 | 56 |
Total workforce headcount | persons | 4009 | 79 |
Total workforce proportion, 30 years old or below | proportion | 35.30% | 79 |
Total workforce proportion, 31–50 years old | proportion | 60.59% | 79 |
Total workforce proportion, 50 years old or above | proportion | 4.11% | 79 |
Total workforce proportion, Academy or below | proportion | 52.28% | 79 |
Total workforce proportion, Bachelor degree | proportion | 36.69% | 79 |
Total workforce proportion, China region employee | proportion | 99.68% | 79 |
Total workforce proportion, Director or above | proportion | 2.57% | 79 |
Total workforce proportion, Dispatched employee | proportion | 0.52% | 79 |
Total workforce proportion, Doctor degree | proportion | 1.20% | 79 |
Total workforce proportion, Female | proportion | 57.62% | 79 |
Total workforce proportion, Full-time employee | proportion | 98.98% | 79 |
Total workforce proportion, General staff | proportion | 87.53% | 79 |
Total workforce proportion, Intern | proportion | 0.47% | 79 |
Total workforce proportion, Male | proportion | 42.38% | 79 |
Total workforce proportion, Manager or head | proportion | 9.90% | 79 |
Total workforce proportion, Master degree | proportion | 9.83% | 79 |
Total workforce proportion, Overseas region employee | proportion | 0.32% | 79 |
Total workforce proportion, Part-time employee | proportion | 0.03% | 79 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Injury accidents with a loss of less than 30 working days ≤ 1 person | person | 1 | 36 |
Safety and environmental accident with direct economic losses of less than RMB100000 ≤ 1 time | time | 1 | 36 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Ambest Pharmaceutical Level-3 (Pharmaceutical) Enterprise of Work Safety Standardization certificate date | January 2019 | 38 | ||
Annual occupational health checkups | Undisclose | 1191 | 80 | |
Annual regular medical checkups | 1971 | 2548 | 80 | |
Beijing Sihuan Level-3 (Pharmaceutical) Enterprise of Work Safety Standardization certificate date | January 2019 | 38 | ||
Jilin Jinsheng Level-3 (Pharmaceutical) Enterprise of Work Safety Standardization certificate date | December 2018 | 38 | ||
Jilin Sichang Level-3 (Pharmaceutical) Enterprise of Work Safety Standardization certificate date | June 2019 | 38 | ||
Jilin Sihuan Level-3 (Pharmaceutical) Enterprise of Work Safety Standardization certificate date | October 2018 | 38 | ||
Jilin Zhen'ao Level-3 (Pharmaceutical) Enterprise of Work Safety Standardization certificate date | May 2019 | 38 | ||
Safety drills | 25 | 40 | 80 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Increase in R&D and relevant activities expenditure compared to previous year | % | 45.7 | 20 | |
Participants in safety drills | 2073 | 3297 | 80 | |
Percentage of employees trained (Director or above) | %, percent | 85.16 | 62, 80 | |
Percentage of employees trained (Female) | %, percent | 97.28 | 62, 80 | |
Percentage of employees trained (General staff) | %, percent | 99.55 | 62, 80 | |
Percentage of employees trained (Male) | %, percent | 96.85 | 62, 80 | |
Percentage of employees trained (Manager or head) | %, percent | 82.72 | 62, 80 | |
R&D and relevant activities expenditure as percentage of total revenue | % | 26.9 | 20 | |
Total employees trained | 14668 | 80 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Average training hours per employee | hours | 25 | 80 | |
Average training hours per employee (Director or above) | hours | 46.97 | 62, 80 | |
Average training hours per employee (Female) | hours | 16.95 | 62, 80 | |
Average training hours per employee (General staff) | hours | 32.77 | 62, 80 | |
Average training hours per employee (Male) | hours | 20.44 | 62, 80 | |
Average training hours per employee (Manager or head) | hours | 34.11 | 62, 80 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Number of suppliers - Central China | suppliers | 6 | 7 | 32, 81 |
Number of suppliers - East China | suppliers | 31 | 32 | 32, 81 |
Number of suppliers - North China | suppliers | 37 | 35 | 32, 81 |
Number of suppliers - Northeast China | 31 | 33 | 81 | |
Number of suppliers - Northeastern China | suppliers | 33 | 32 | |
Number of suppliers - Overseas | suppliers | 4 | 4 | 32, 81 |
Number of suppliers - South China | suppliers | 6 | 6 | 32, 81 |
Number of suppliers - Southwest China | 8 | 9 | 81 | |
Number of suppliers - Southwestern China | suppliers | 9 | 32 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Expenditure for R&D and relevant activities | million RMB | 777 | 20 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2018 | 2019 | Report Pages |
---|---|---|---|---|
Number of suppliers who signed the 'Integrity Agreement' | Undisclose | 126 | 81 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Airborne Particulate Matter (PM) Emissions | tons | 27.53 | 9.08 |
NOâ‚“ Emissions | tons | 96.45 | 54.13 |
SOâ‚“ Emissions | tons | 110.11 | 47.39 |
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) | tons of carbon dioxide equivalent | 55110.19 | 39605.97 |
Indirect Energy Emissions (Scope 2) | tons of carbon dioxide equivalent | 36269.07 | 53065.02 |
Total GHG Emissions | tons of carbon dioxide equivalent | 91379.26 | 92670.99 |
Total GHG Emissions Intensity (By Revenue) | tons of carbon dioxide equivalent/thousand RMB revenue | 0.03 | 0.03 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Hazardous Waste (Liquid Waste) | tons | None | 706.9 |
Hazardous Waste (Solid Waste) | tons | None | 141.63 |
Total Hazardous Waste | tons | 118.87 | 848.53 |
Total Hazardous Waste Intensity (By Revenue) | kg/thousand RMB revenue | 0.04 | 0.29 |
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 |
---|---|---|---|
Non-Hazardous Waste (Domestic Waste) | tons | 887.9 | 809.64 |
Total Non-Hazardous Waste Intensity (By Revenue) | kg/thousand RMB revenue | 3.67 | 2.56 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
NOx Emissions Reduction Percentage Compared to Last Year | % | -55 |
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 |
---|---|---|---|
Diesel Fuel Consumption | Liter | 26182.34 | |
Energy Consumption Intensity (By Revenue) | kWh/thousand RMB revenue | 77.8 | 68.51 |
Fossil Fuel Consumption | Tons | 13664.4 | |
Gasoline Consumption | Liter | 184852.23 | |
LPG Consumption | cubic meter | 10264.59 | |
Natural Gas Consumption | cubic meter | 4392075.8 | |
Purchased Electricity | kWh | 49914563.6 | |
Purchased Heating | GJ | 83886.57 | |
Total Direct Energy Consumption | kWh | 124731346.06 | |
Total Energy Consumption | kWh | 227039500 | 197789440.33 |
Total Indirect Energy Consumption | kWh | 73058094.27 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Water Consumption | cubic meter | 842959 | 709639.34 |
Water Consumption Intensity (By Revenue) | cubic meter/thousand RMB revenue | 0.29 | 0.25 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
Investment in Energy-saving and Emission-reduction Technology Transformation | million RMB | 3.55 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2019 |
---|---|---|
Water Consumption Reduction Compared to Last Year | tons | 200 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Packaging Material Intensity (By Revenue) | kg/thousand RMB revenue | 1.09 | 1.11 |
Packaging Materials Consumed | tons | 3180.47 | 3198.9 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2019 |
---|---|---|
Total Investment in Ecological Restoration | million RMB | 350 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Bachelor's Degree Employees | persons | 1470 |
Number of Below Junior College Employees | persons | 2096 |
Number of Doctoral Degree Employees | persons | 48 |
Number of Employees Aged 30-50 | persons | 2431 |
Number of Employees Aged Above 50 | persons | 164 |
Number of Employees Aged Below 30 | persons | 1415 |
Number of Employees in Mainland China | persons | 3996 |
Number of Employees in Overseas | persons | 13 |
Number of Female Employees | persons | 2309 |
Number of Full-time Employees | persons | 3971 |
Number of General Employees | persons | 3507 |
Number of Interns | persons | 19 |
Number of Male Employees | persons | 1700 |
Number of Master's Degree Employees | persons | 394 |
Number of Part-time Employees | persons | 1 |
Number of Total Employees | persons | 4009 |
Percentage of Bachelor's Degree Employees | % | 36.69 |
Percentage of Below Junior College Employees | % | 52.28 |
Percentage of Doctoral Degree Employees | % | 1.2 |
Percentage of Employees Aged 30-50 | % | 60.59 |
Percentage of Employees Aged Above 50 | % | 4.11 |
Percentage of Employees Aged Below 30 | % | 35.3 |
Percentage of Employees in Mainland China | % | 99.68 |
Percentage of Employees in Overseas | % | 0.32 |
Percentage of Female Employees | % | 57.62 |
Percentage of Full-time Employees | % | 98.98 |
Percentage of General Employees | % | 87.53 |
Percentage of Interns | % | 0.47 |
Percentage of Male Employees | % | 42.38 |
Percentage of Master's Degree Employees | % | 9.83 |
Percentage of Part-time Employees | % | 0.03 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Number of Production Safety Emergency Drills | drills | 25 | 40 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Trained Female Employees | % | 97.28 |
Percentage of Trained General Employees | % | 99.55 |
Percentage of Trained Male Employees | % | 96.85 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Average Training Hours (Director and Above) | hours | 46.97 | |
Average Training Hours (Female) | hours | 16.95 | |
Average Training Hours (General Staff) | hours | 32.77 | |
Average Training Hours (Male) | hours | 20.44 | |
Average Training Hours (Middle Management) | hours | 34.11 | |
Average Training Hours per Employee | hours | 25 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2018 | 2019 |
---|---|---|---|
Number of Suppliers in Central China | suppliers | 6 | 7 |
Number of Suppliers in East China | suppliers | 31 | 32 |
Number of Suppliers in North China | suppliers | 37 | 35 |
Number of Suppliers in Northeast China | suppliers | 31 | 33 |
Number of Suppliers in Overseas | suppliers | 4 | 4 |
Number of Suppliers in South China | suppliers | 6 | 6 |
Number of Suppliers in Southwest China | suppliers | 8 | 9 |
Number of Total Suppliers | suppliers | 123 | 126 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit | 2019 |
---|---|---|
Percentage of Suppliers Accepting Anti-corruption Policies | suppliers | 126 |