2020 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022-2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Ammonia nitrogen | tonne | 27.8 | 19.2 | 13 | 125 | |||
Ammonia nitrogen (API segment) | tonne | 12.27 | 78 | |||||
Ammonia nitrogen (Drug preparation segment) | tonne | 0.77 | 78 | |||||
Ammonia nitrogen (Total) | tonne | 13.04 | 78 | |||||
Amount of chemical oxygen demand emission per RMB10000 of output value | 2.2% lower than 2020 | 2.2% lower than previous year | 10% lower than 2020 | 65 | ||||
Chemical Oxygen Demand (COD) | tonne | 366.2 | 343.2 | 338.5 | 125 | |||
Chemical Oxygen Demand (CODcr) (API segment) | tonne | 307.22 | 78 | |||||
Chemical Oxygen Demand (CODcr) (Drug preparation segment) | tonne | 31.29 | 78 | |||||
Chemical Oxygen Demand (CODcr) (Total) | tonne | 338.51 | 78 | |||||
NO₂ | tonne | 133.6 | 141.1 | 86.2 | 125 | |||
SO₂ | tonne | 91.2 | 76.3 | 47.8 | 125 |
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 | 2020 | 2021 | 2022-2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Amount of sulfur dioxide emission per RMB10000 of output value | 2.2% lower than 2020 | 2.2% lower than previous year | 10% lower than 2020 | 65 | ||||
Decrease in total greenhouse gas emissions compared with 2019 | % | approximately 3 | 14 | |||||
Greenhouse gas emissions (Scope 1) | tonne of CO₂ equivalent | 162712.4 | 183982 | 30427.8 | 125 | |||
Greenhouse gas emissions (Scope 1, API segment) | tonne of CO2 equivalent | 23933.9 | 68 | |||||
Greenhouse gas emissions (Scope 1, Drug preparation segment) | tonne of CO2 equivalent | 6493.89 | 68 | |||||
Greenhouse gas emissions (Scope 1, Total) | tonne of CO2 equivalent | 30427.79 | 68 | |||||
Greenhouse gas emissions (Scope 2) | tonne of CO₂ equivalent | 422894.3 | 407325.5 | 543952.5 | 125 | |||
Greenhouse gas emissions (Scope 2, API segment) | tonne of CO2 equivalent | 457028.95 | 68 | |||||
Greenhouse gas emissions (Scope 2, Drug preparation segment) | tonne of CO2 equivalent | 86923.51 | 68 | |||||
Greenhouse gas emissions (Scope 2, Total) | tonne of CO2 equivalent | 543952.46 | 68 | |||||
Intensity of greenhouse gas emissions | tonne of CO₂ equivalent/RMB10000 | 0.7 | 0.6 | 0.5 | 125 | |||
Intensity of greenhouse gas emissions (API segment) | tonne of CO2 equivalent/RMB10000 of output value | 1.52 | 68 | |||||
Intensity of greenhouse gas emissions (Drug preparation segment) | tonne of CO2 equivalent/RMB10000 of output value | 0.11 | 68 | |||||
Intensity of greenhouse gas emissions (Total) | tonne of CO2 equivalent/RMB10000 of output value | 0.5 | 68 | |||||
Total greenhouse gas emissions | tonne of CO₂ equivalent | 585606.7 | 591307.5 | 574380.3 | 125 | |||
Total greenhouse gas emissions (API segment) | tonne of CO2 equivalent | 480962.85 | 68 | |||||
Total greenhouse gas emissions (Drug preparation segment) | tonne of CO2 equivalent | 93417.4 | 68 | |||||
Total greenhouse gas emissions (Total) | tonne of CO2 equivalent | 574380.25 | 68 | |||||
Total greenhouse gas emissions (scope 1 and 2) | tonne of CO2 equivalent | 574380.25 | 14 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022-2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Amount of disposal of hazardous waste per RMB10000 of output value | 0.5% lower than 2020 | 0.5% lower than previous year | 2% lower than 2020 | 65 | ||||
Amount of treatment of hazardous waste per RMB10000 of operating income (target) | decreases by 3% over 2019 | 78 | ||||||
Amount of treatment of hazardous waste per RMB10000 of operating income (year-on-year change) | increased by 2.78% over 2019 | 78 | ||||||
Intensity of hazardous waste produced | kg/RMB10000 | 2 | 2.8 | 2.6 | 125 | |||
Intensity of hazardous waste produced - API segment | kg/RMB10000 of output value | 8.95 | 79 | |||||
Intensity of hazardous waste produced - Drug preparation segment | kg/RMB10000 of output value | 0.17 | 79 | |||||
Intensity of hazardous waste produced - Total | kg/RMB10000 of output value | 2.57 | 79 | |||||
Medical waste (HW02) and waste medicine (HW03) | tonne | 1782.5 | 1564.5 | 1826.9 | 125 | |||
Medical waste (HW02) and waste medicine (HW03) - API segment | tonne | 1743.97 | 79 | |||||
Medical waste (HW02) and waste medicine (HW03) - Drug preparation segment | tonne | 82.91 | 79 | |||||
Medical waste (HW02) and waste medicine (HW03) - Total | tonne | 1826.87 | 79 | |||||
Other hazardous waste | tonne | 489.3 | 1018.5 | 1153.5 | 125 | |||
Other hazardous waste - API segment | tonne | 1095.03 | 79 | |||||
Other hazardous waste - Drug preparation segment | tonne | 58.49 | 79 | |||||
Other hazardous waste - Total | tonne | 1153.52 | 79 | |||||
Total general industrial waste - API segment | tonne | 42085.66 | 79 | |||||
Total general industrial waste - Drug preparation segment | tonne | 13904.54 | 79 | |||||
Total general industrial waste - Total | tonne | 55990.2 | 79 | |||||
Total general industrial waste produced | tonne | 97771.9 | 99881.5 | 55990.2 | 126 | |||
Total hazardous waste | tonne | 2271.8 | 2583 | 2980.4 | 125 | |||
Total hazardous waste - API segment | tonne | 2839 | 79 | |||||
Total hazardous waste - Drug preparation segment | tonne | 141.4 | 79 | |||||
Total hazardous waste - Total | tonne | 2980.4 | 79 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Intensity of general industrial waste produced | kg/RMB10000 | 110.3 | 106.4 | 48.3 | 126 |
Intensity of general industrial waste produced - API segment | kg/RMB10000 of output value | 132.64 | 79 | ||
Intensity of general industrial waste produced - Drug preparation segment | kg/RMB10000 of output value | 16.53 | 79 | ||
Intensity of general industrial waste produced - Total | kg/RMB10000 of output value | 48.32 | 79 |
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 | 2020 | 2021 | 2022-2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Alcohol based liquid fuel consumption (Drug preparation segment) | tonne | 20.2 | 68 | |||||
Alcohol based liquid fuel consumption (Total) | tonne | 20.2 | 68 | |||||
Coal consumption (API segment) | tonne | 4336.5 | 68 | |||||
Coal consumption (Total) | tonne | 4336.5 | 68 | |||||
Diesel consumption (API segment) | liter | 259532.63 | 68 | |||||
Diesel consumption (Drug preparation segment) | liter | 96660 | 68 | |||||
Diesel consumption (Total) | liter | 356192.63 | 68 | |||||
Direct energy consumption - Alcohol based liquid fuel | tonne | 17.2 | 18.5 | 20.2 | 126 | |||
Direct energy consumption - Biomass fuel | tonne | 7625.7 | 6466 | 126 | ||||
Direct energy consumption - Coal | tonne | 63140 | 72714.2 | 4336.5 | 126 | |||
Direct energy consumption - Diesel | litre | 506185.9 | 362836.3 | 356192.6 | 126 | |||
Direct energy consumption - Gasoline | litre | 286800.3 | 365628.3 | 278223.1 | 126 | |||
Direct energy consumption - Natural gas | 10000 cubic meters | 973.9 | 1111.5 | 917.9 | 126 | |||
Electricity consumption per RMB10000 of output value | 3% lower than 2020 | 3% lower than previous year | 14% lower than 2020 | 65 | ||||
Electricity consumption reduction, Fuzhou Fuxing, Renovation of blower system for water treatment | reduction | 30% | 67 | |||||
Electricity consumption reduction, Livzon Hecheng, Central air-conditioning cloud monitoring system | reduction | 5% | 67 | |||||
Electricity consumption reduction, Livzon Hecheng, Replacement of compressor of refrigeration unit | reduction | 3% | 67 | |||||
Electricity purchased (API segment) | kWh | 322337597 | 68 | |||||
Electricity purchased (Drug preparation segment) | kWh | 78112505.9 | 68 | |||||
Electricity purchased (Total) | kWh | 400450102.9 | 68 | |||||
Gasoline consumption (API segment) | liter | 141737.56 | 68 | |||||
Gasoline consumption (Drug preparation segment) | liter | 136485.57 | 68 | |||||
Gasoline consumption (Total) | liter | 278223.13 | 68 | |||||
Indirect energy consumption - Electricity purchased | kWh | 407384975 | 374098694.8 | 400450102.9 | 126 | |||
Indirect energy consumption - Steam purchased | tonne | 237117.8 | 284016.2 | 666196.9 | 126 | |||
Intensity of electricity consumption | kWh/RMB10000 | 459.8 | 398.6 | 345.6 | 126 | |||
Intensity of electricity consumption (API segment) | kWh/RMB10000 of output value | 1015.92 | 68 | |||||
Intensity of electricity consumption (Drug preparation segment) | kWh/RMB10000 of output value | 92.84 | 68 | |||||
Intensity of electricity consumption (Total) | kWh/RMB10000 of output value | 345.62 | 68 | |||||
Natural gas consumption (API segment) | 10000 cubic meters | 645.23 | 68 | |||||
Natural gas consumption (Drug preparation segment) | 10000 cubic meters | 272.64 | 68 | |||||
Natural gas consumption (Total) | 10000 cubic meters | 917.87 | 68 | |||||
Photovoltaic power generation, Pharmaceutical Factory, Solar photovoltaic power generation project | kWh | 230000 | 67 | |||||
Steam purchased (API segment) | tonne | 594067.3 | 68 | |||||
Steam purchased (Drug preparation segment) | tonne | 72129.55 | 68 | |||||
Steam purchased (Total) | tonne | 666196.85 | 68 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022-2024 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Industrial wastewater | tonne | 4329594 | 4368313.4 | 4285515 | 125 | |||
Industrial wastewater (API segment) | tonne | 3631648.38 | 78 | |||||
Industrial wastewater (Drug preparation segment) | tonne | 653866.59 | 78 | |||||
Industrial wastewater (Total) | tonne | 4285514.97 | 78 | |||||
Intensity of water consumption | tonne/RMB10000 | 7.2 | 6.8 | 5.4 | 126 | |||
Intensity of water consumption (API segment) | tonne/RMB10000 of output value | 15.78 | 71 | |||||
Intensity of water consumption (Drug preparation segment) | tonne/RMB10000 of output value | 1.49 | 71 | |||||
Intensity of water consumption (Total) | tonne/RMB10000 of output value | 5.41 | 71 | |||||
Total water consumption | tonne | 6416763.6 | 6385615.3 | 6264353.1 | 126 | |||
Total water consumption (API segment) | tonne | 5007301.5 | 71 | |||||
Total water consumption (Drug preparation segment) | tonne | 1257051.6 | 71 | |||||
Total water consumption (Total) | tonne | 6264353.1 | 71 | |||||
Water consumption per RMB10000 of output value | 3% lower than 2020 | 3% lower than previous year | 14% lower than 2020 | 65 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Electricity saved per month, Fuzhou Fuxing, Renovation of blower system for water treatment | kWh/month | 50000 | 67 |
Natural gas consumption reduction, Livzon Hecheng, Replacement of energy saver for 5T boiler | reduction | 3% | 67 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Intensity of outer paper packaging materials used | kg/RMB10000 | 3.8 | 3.3 | 3.1 | 127 |
Intensity of outer paper packaging materials used (API segment) | kg/RMB10000 of output value | 1.98 | 72 | ||
Intensity of outer paper packaging materials used (Drug preparation segment) | kg/RMB10000 of output value | 3.57 | 72 | ||
Intensity of outer paper packaging materials used (Total) | kg/RMB10000 of output value | 3.13 | 72 | ||
Outer paper packaging materials (API segment) | tonne | 627.09 | 72 | ||
Outer paper packaging materials (Drug preparation segment) | tonne | 3000.98 | 72 | ||
Outer paper packaging materials (Total) | tonne | 3628.08 | 72 | ||
Outer paper packaging materials used | tonne | 3331.3 | 3095.7 | 3628.1 | 127 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Capitalized R&D investment as percentage of total R&D investment | % | 8.14 | 10.66 | 14 |
EHS investment | million RMB | 102.59 | 110.24 | 14 |
EHS investment in environmental protection | million RMB | 89.88 | 14 | |
EHS investment in environmental protection facilities maintenance | million RMB | 63.6 | 14 | |
EHS investment in renovation of environmental protection facilities | million RMB | 30.28 | 14 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Employees with Below post-secondary education | persons | 3267 | 83 | |||
Employees with Doctor degree | persons | 67 | 83 | |||
Employees with Post-secondary education | persons | 2271 | 83 | |||
Employees with Postgraduate degree | persons | 430 | 83 | |||
Employees with Undergraduate degree | persons | 2332 | 83 | |||
Female employees | persons | 3975 | 83 | |||
Male employees | persons | 4392 | 83 | |||
Number of R&D employees | 586 | 721 | 729 | 911 | 14, 54 | |
Number of administrative staff | employees | 445 | 82 | |||
Number of employees aged 30 and below | person | 3344 | 3780 | 3303 | 127 | |
Number of employees aged 31-49 | person | 3906 | 4838 | 4651 | 127 | |
Number of employees aged 50 and above | person | 421 | 401 | 413 | 127 | |
Number of employees at director level | person | 201 | 127 | |||
Number of employees at general manager level and above | person | 73 | 127 | |||
Number of employees at manager level | person | 900 | 127 | |||
Number of employees in Hong Kong, Macau and Taiwan | person | 2 | 1 | 4 | 127 | |
Number of employees in Mainland China | person | 7654 | 9012 | 8353 | 127 | |
Number of employees overseas | person | 15 | 6 | 10 | 127 | |
Number of female employees | person | 3494 | 4223 | 3975 | 127 | |
Number of financial staff | employees | 171 | 82 | |||
Number of male employees | person | 4177 | 4796 | 4392 | 127 | |
Number of other employees | person | 7193 | 127 | |||
Number of production staff | employees | 4729 | 82 | |||
Number of sales staff | employees | 1809 | 82 | |||
Number of technical staff | employees | 1213 | 82 | |||
Percentage of R&D employees | 8.42% | 9.40% | 8.08% | 10.89% | 54 | |
Percentage of R&D investment to total operating income | 6.75% | 7.76% | 8.82% | 9.41% | 54 | |
Percentage of female employees | % | 44.0% | 45.5% | 46.8% | 47.5% | 85 |
Total number of employees | employees, person, persons | 6963 | 7671 | 9019 | 8367 | 82, 83, 127 |
Total number of female employees | persons | 3061 | 3494 | 4223 | 3975 | 85 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Average monthly turnover rate | % | 1.23 | 82 | |||
Employee turnover rate | % | 19.00% | 19.25% | 16.81 | 14.8 | 82, 83 |
Employee turnover rate - Age 30 and below | percentage | 19.22 | 128 | |||
Employee turnover rate - Age 31-49 | percentage | 12.6 | 128 | |||
Employee turnover rate - Age 50 and above | percentage | 4.12 | 128 | |||
Employee turnover rate - Female | percentage | 15.02 | 128 | |||
Employee turnover rate - Hong Kong, Macau and Taiwan | percentage | 25 | 128 | |||
Employee turnover rate - Mainland China | percentage | 14.79 | 128 | |||
Employee turnover rate - Male | percentage | 14.59 | 128 | |||
Employee turnover rate - Overseas | percentage | 20 | 128 | |||
Overall employee turnover rate | percentage | 19.25 | 16.81 | 14.8 | 128 |
Lost days due to work injury.
Indicator | Unit | 2019 | 2020 | Report Pages |
---|---|---|---|---|
Lost days due to work injury | day | 547 | 155 | 128 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
EHS investment in safe production | million RMB | 16.36 | 14 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Annual training completion rate (online training) | % | 98 | 90 | |||
Livzon Business School Management Trainee Program - learning completion rate | % | 96 | 90 | |||
Number of trainees (online training) | 2000 | 90 | ||||
Percentage of employees trained | percentage | 99.56 | 128 | |||
Percentage of female employees trained | percentage | 47.88 | 128 | |||
Percentage of male employees trained | percentage | 52.12 | 128 | |||
Percentage of other employees trained | percentage | 90.67 | 128 | |||
Percentage of trained employees at director level | percentage | 1.94 | 128 | |||
Percentage of trained employees at general manager level and above | percentage | 0.35 | 128 | |||
Percentage of trained employees at manager level | percentage | 7.03 | 128 | |||
R&D employees as percentage of total employees | % | 8.08 | 10.89 | 14 | ||
R&D investment | RMB million | 575.5 | 687.24 | 827.73 | 989.59 | 54 |
R&D investment as percentage of operating income | % | 8.82 | 9.41 | 14 | ||
Total R&D expenditure | million RMB | 827.73 | 989.59 | 14 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Average training hours per employee | hour | 33.5 | 65 | 42.3 | 129 |
Average training hours per employee at director level | hour | 23.9 | 129 | ||
Average training hours per employee at general manager level and above | hour | 7.7 | 129 | ||
Average training hours per employee at manager level | hour | 23.4 | 129 | ||
Average training hours per female employee | hour | 34.6 | 59.4 | 42.2 | 129 |
Average training hours per male employee | hour | 32.6 | 70 | 42.4 | 129 |
Average training hours per other employee | hour | 45.5 | 129 |
Number of suppliers by geographical region.
Indicator | Unit | 2014-2019 | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|---|
Accumulated cash dividends of the Company (2014 to 2019) | million RMB | 3485.6 | 23 | ||||
Number of countries and regions where Livzon's Diagnostic Kit for IgM/IgG Antibody to Coronavirus (2019-nCoV) was sold | 38 | 58 | |||||
Number of countries where Livzon's Diagnostic Kit for IgM/IgG Antibody to Coronavirus (2019-nCoV) was permitted for market launch | 15 | 58 | |||||
Number of qualification certificates for in vitro diagnostic reagents (ISO system certification) | certificate | 1 | 31 | ||||
Number of qualification certificates for preparations (Limin Factory, Pharmaceutical Factory) | certificates | 2 | 31 | ||||
Number of qualification certificates obtained by Livzon Diagnostics | 1 | 58 | |||||
Number of suppliers Overseas | percentage | 1 | 1 | 1 | 129 | ||
Number of suppliers in Central China | percentage | 7 | 8 | 7 | 129 | ||
Number of suppliers in Eastern China | percentage | 43 | 41 | 38 | 129 | ||
Number of suppliers in Northeastern China | percentage | 2 | 1 | 1 | 129 | ||
Number of suppliers in Northern China | percentage | 10 | 9 | 9 | 129 | ||
Number of suppliers in Northwestern China | percentage | 6 | 7 | 5 | 129 | ||
Number of suppliers in Southern China | percentage | 28 | 31 | 36 | 129 | ||
Number of suppliers in Southwestern China | percentage | 3 | 2 | 2 | 129 | ||
Number of system qualification certificates for APIs (Xinbeijiang Pharmaceutical, Fuzhou Fuxing) | certificates | 2 | 31 | ||||
Overseas principal businesses income | million RMB | 1725.15 | 14 | ||||
Overseas principal businesses income as percentage of principal businesses income | % | 16.49 | 14 | ||||
Percentage of income from overseas principal businesses to total income from principal businesses | 12.17% | 12.38% | 13.24% | 16.49% | 108 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of pharmaceutical vendors audited for drug quality by quality management head office | pharmaceutical vendors | 3 | 51 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of preparation enterprises passed GMP certification | enterprises | 4 | 31 |
Number of preparation varieties passed international certification | variety | 1 | 31 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|---|
Income from overseas principal businesses | RMB million | 1032.77 | 1092.39 | 1233.65 | 1725.15 | 108 |
Number of product and service related complaints received - Consultation on medicines | time | Not disclosed | 8 | 8 | 130 | |
Number of product and service related complaints received - Product related complaints | time | Not disclosed | 121 | 137 | 130 | |
Number of varieties of APIs enterprises passed GMP certification | varieties | 31 | 31 | |||
Number of varieties of APIs enterprises passed veterinary drug GMP certification | varieties | 5 | 31 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of API products registered overseas | products | 28 | 108 |
Number of API registration projects completed overseas | projects | 84 | 108 |
Number of countries/regions with API product registrations | countries/regions | 49 | 108 |
Number of internationally recognized certificates for APIs within validity period | certificates | 48 | 31 |
Number of internationally recognized certificates for in vitro diagnostic reagents | certificate | 1 | 31 |
Number of internationally recognized certificates for preparations | certificates | 2 | 31 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of API varieties obtained CEP certificates | varieties | 12 | 31, 108 |
Number of API varieties obtained qualification certificates | varieties | 2 | 108 |
Number of API varieties passed FDA on-site inspection | varieties | 4 | 31 |
Number of API varieties passed FDA on-site inspections | varieties | 4 | 108 |
Number of API varieties passed international certification on-site inspection | varieties | 16 | 31 |
Number of Livzon Diagnostics products with CE certification from European Union | 16 | 58 | |
Number of certificates for international certification obtained | certificates | 48 | 108 |
Number of diagnostic reagent enterprises passed GMP certificate | enterprise | 1 | 31 |
Number of drug insert sheet varieties printed with information of drug marketing authorization holder | varieties | 11 | 51 |
Number of drug insert sheet varieties with amendments to [Adverse Reactions], [Contraindications] and [Precautions] | varieties | 16 | 51 |
Number of drug insert sheets reviewed and screened by Limin Factory | drug insert sheets | 150 | 51 |
Number of in vitro diagnostic reagent varieties passed TUV on-site inspection | varieties | 8 | 31 |
Number of in vitro diagnostic reagent varieties passed international certification | varieties | 8 | 31 |
Number of on-site inspections of international certification passed | inspections | 16 | 108 |
Number of production lines of diagnostic reagent enterprise passed GMP certificate | production lines | 2 | 31 |
Number of production lines of preparation enterprises passed GMP certification | production lines | 30 | 31 |
Number of technology platforms passed TUV on-site inspections | 8 | 58 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Number of poverty alleviation agreements | 12 | 14 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | 2019 | 2020 | Report Pages |
---|---|---|---|---|---|
Charitable donation | million RMB | 10.81 | 14 | ||
Charitable donation - funds | million RMB | 7.15 | 14 | ||
Charitable donation - materials | million RMB | 3.66 | 14 | ||
Number of registered people in need | 5000 | 14 | |||
Resources contributed to the focus areas - Funds donation | RMB10000 | 335.5 | 154.2 | 714.6 | 130 |
Resources contributed to the focus areas - Materials donation value | RMB10000 | 57.1 | 220.4 | 366.4 | 130 |
The types of emissions and respective emissions data.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
NOₓ Emissions | tonne | 133.6 | 141.1 | 86.2 |
SOₓ Emissions | tonne | 91.2 | 76.3 | 47.8 |
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 | 2020 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonne of CO₂ equivalent | 162712.4 | 183982 | 30427.8 |
Indirect Energy Emissions (Scope 2) | tonne of CO₂ equivalent | 422894.3 | 407325.5 | 543952.5 |
Total GHG Emissions | tonne of CO₂ equivalent | 585606.7 | 591307.5 | 574380.3 |
Total GHG Emissions Intensity (By Revenue) | tonne of CO₂ equivalent/RMB10000 | 0.7 | 0.6 | 0.5 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Hazardous Waste | tonne | 2271.8 | 2583 | 2980.4 |
Total Hazardous Waste Intensity (By Revenue) | kg/RMB10000 | 2 | 2.8 | 2.6 |
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 | 2020 |
---|---|---|---|---|
Total Non-Hazardous Waste Intensity (By Revenue) | kg/RMB10000 | 110.3 | 106.4 | 48.3 |
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 | 2020 |
---|---|---|---|---|
Biomass Energy | tonne | 7625.7 | 6466 | |
Diesel Fuel Consumption | litre | 506185.9 | 362836.3 | 356192.6 |
Gasoline Consumption | litre | 286800.3 | 365628.3 | 278223.1 |
Natural Gas Consumption | 10000 cubic meters | 973.9 | 1111.5 | 917.9 |
Purchased Electricity | kWh | 407384975 | 374098694.8 | 400450102.9 |
Purchased Steam | tonne | 237117.8 | 284016.2 | 666196.9 |
Solar Energy | kWh | 230000 | ||
Total Electricity Consumption Intensity (By Revenue) | kWh/RMB10000 | 459.8 | 398.6 | 345.6 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Discharge of Industrial Wastewater | tonne | 4329594 | 4368313.4 | 4285515 |
Water Consumption | tonne | 6416763.6 | 6385615.3 | 6264353.1 |
Water Consumption Intensity (By Revenue) | tonne/RMB10000 | 7.2 | 6.8 | 5.4 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2020 |
---|---|---|
Electricity Usage Reduction Compared to Last Year | kWh/year | 600000 |
Energy Consumption Reduction Percentage Compared to Last Year | % | 3 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Packaging Material Consumption (Paper) | tonne | 3331.3 | 3095.7 | 3628.08 |
Packaging Material Intensity (By Revenue) | kg/RMB10000 | 3.8 | 3.3 | 3.13 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2020 |
---|---|---|
Total Investment in Ecological Restoration | million RMB | 89.88 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Number of Employees Aged 30-50 | person | 3906 | 4838 | 4651 | |
Number of Employees Aged Above 50 | person | 421 | 401 | 413 | |
Number of Employees Aged Below 30 | person | 3344 | 3780 | 3303 | |
Number of Employees in Hong Kong | person | 2 | 1 | 4 | |
Number of Employees in Mainland China | person | 7654 | 9012 | 8353 | |
Number of Employees in Overseas | person | 15 | 6 | 10 | |
Number of Female Employees | persons | 3061 | 3494 | 4223 | 3975 |
Number of Male Employees | persons | 4177 | 4796 | 4392 | |
Number of Total Employees | persons | 6963 | 7671 | 9019 | 8367 |
Percentage of Female Employees | % | 44 | 45.5 | 46.8 | 47.5 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 12.6 | |||
Turnover Rate of Employees Aged Above 50 | % | 4.12 | |||
Turnover Rate of Employees Aged Below 30 | % | 19.22 | |||
Turnover Rate of Employees in Hong Kong | % | 25 | |||
Turnover Rate of Employees in Mainland China | % | 14.79 | |||
Turnover Rate of Employees in Overseas | % | 20 | |||
Turnover Rate of Female Employees | % | 15.02 | |||
Turnover Rate of Male Employees | % | 14.59 | |||
Turnover Rate of Total Employees | % | 19 | 19.25 | 16.81 | 14.8 |
Lost days due to work injury.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Lost Days Due to Work-related Injuries | day | 547 | 155 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2020 |
---|---|---|
Investment in Work Safety | million RMB | 16.36 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2020 |
---|---|---|
Percentage of Employees Trained | % | 99.56 |
Percentage of Trained Female Employees | % | 47.88 |
Percentage of Trained Male Employees | % | 52.12 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Average Training Hours (Director and Above) | hour | 7.7 | ||
Average Training Hours (Female) | hour | 34.6 | 59.4 | 42.2 |
Average Training Hours (General Staff) | hour | 45.5 | ||
Average Training Hours (Male) | hour | 32.6 | 70 | 42.4 |
Average Training Hours (Middle Management) | hour | 23.4 | ||
Average Training Hours (Senior Management) | hour | 23.9 | ||
Average Training Hours per Employee | hour | 33.5 | 65 | 42.3 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Number of Suppliers in Central China | count | 7 | 8 | 7 |
Number of Suppliers in East China | count | 43 | 41 | 38 |
Number of Suppliers in North China | count | 10 | 9 | 9 |
Number of Suppliers in Northeast China | count | 2 | 1 | 1 |
Number of Suppliers in Northwest China | count | 6 | 7 | 5 |
Number of Suppliers in Overseas | count | 1 | 1 | 1 |
Number of Suppliers in South China | count | 28 | 31 | 36 |
Number of Suppliers in Southwest China | count | 3 | 2 | 2 |
Number of Total Suppliers | count | 100 | 100 | 99 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2019 | 2020 |
---|---|---|---|
Number of Products and Service Related Complaints | time | 129 | 145 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 | 2019 | 2020 |
---|---|---|---|---|
Total Cash Donations | RMB | 3355000 | 1542000 | 7150000 |
Total In-kind Donations | RMB | 571000 | 2204000 | 3660000 |
Total Public Welfare Donations | RMB | 3926000 | 3746000 | 10810000 |
Total Social Investment | RMB | 3926000 | 3746000 | 10810000 |