2022 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
COD | m³ | 1.76 | 107 |
Number of emission monitoring conducted at Innovent's Suzhou base | monitoring | 4 | 94 |
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 | 2022 | Report Pages |
---|---|---|---|
Density of direct GHG emissions | Tons of carbon dioxide equivalent/million revenue | 0.01 | 107 |
Density of direct GHG emissions (Scope 1, per million revenue) | Tons of carbon dioxide equivalent/million revenue | 0.01 | 97 |
Density of indirect GHG emissions | Tons of carbon dioxide equivalent/million revenue | 4.88 | 107 |
Density of indirect GHG emissions (Scope 2, per million revenue) | Tons of carbon dioxide equivalent/million revenue | 4.88 | 97 |
Density of total GHG emissions | Tons of carbon dioxide equivalent/million revenue | 4.89 | 107 |
Density of total GHG emissions (per million revenue) | Tons of carbon dioxide equivalent/million revenue | 4.89 | 97 |
Scope 1 GHG emissions | Tons of carbon dioxide equivalent | 66.74 | 97 |
Scope 1: Direct GHG emissions | Tons of carbon dioxide equivalent | 66.74 | 107 |
Scope 2 GHG emissions | Tons of carbon dioxide equivalent | 22236.21 | 97 |
Scope 2: Indirect GHG emissions | Tons of carbon dioxide equivalent | 22236.21 | 107 |
Total GHG emissions | Tons of carbon dioxide equivalent | 22302.95 | 97, 107 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Density of hazardous waste emission (Innovent) | Ton/million revenue | 0.13 | 98 |
Density of hazardous waste emissions | Ton/million revenue | 0.13 | 107 |
Number of annual soil and groundwater monitoring conducted at Innovent's Suzhou base | monitoring | 1 | 94 |
Total Hazardous waste discharged (Innovent) | Ton | 570.00 | 98 |
Total hazardous waste | Ton | 570 | 107 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Density of non-hazardous waste emission (Innovent) | Ton/million revenue | 0.08 | 98 |
Density of non-hazardous waste emissions | Ton/million revenue | 0.08 | 107 |
Total Non-hazardous waste discharged (Innovent) | Ton | 366.00 | 98 |
Total non-hazardous waste | Ton | 366 | 107 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2030 | Report Pages |
---|---|---|---|
Greenhouse gas emissions reduction target per unit of production compared to 2020 | % | 10 | 92 |
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 | 2022 | Report Pages |
---|---|---|---|
Comprehensive energy consumption | Tons of standard coal | 6928.33 | 97, 107 |
Density of electricity consumption | MWh/million revenue | 0.01 | 107 |
Density of electricity consumption (per million revenue) | MWh/million revenue | 0.01 | 97 |
Density of energy consumption (per million revenue) | Tons of standard coal/million revenue | 1.52 | 97 |
Density of heat consumption | KJ/million revenue | 44304720.83 | 107 |
Density of heat consumption (per million revenue) | KJ/million revenue | 44304720.83 | 97 |
Density of natural gas consumption | 0’000 standard m³/million revenue | 0.0007 | 107 |
Density of natural gas consumption (per million revenue) | 0'000 standard m³/million revenue | 0.0007 | 97 |
Electricity consumption | MWh | 53.50 | 97, 107 |
Energy consumption density | Tons of standard coal/million revenue | 1.52 | 107 |
Heat consumption | KJ | 201870030000.00 | 97, 107 |
Natural gas consumption | 0'000 standard m³, 0’000 standard m³ | 3.09 | 97, 107 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Density of water consumption | m³/million revenue | 141.76 | 107 |
Discharge of domestic wastewater | m³ | 161474.75 | 107 |
Discharge of industrial wastewater | m³ | 92799 | 107 |
Number of wastewater tests conducted at Innovent's Suzhou base | tests | 12 | 94 |
Recycled water consumption | m³ | 23857 | 107 |
Tap water consumption | m³ | 645899 | 107 |
Water resources utilisation - Density of water use | m³/million revenue | 141.76 | 95 |
Water resources utilisation - Tap water | m³ | 645899 | 95 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2022 | 2030 | Report Pages |
---|---|---|---|---|
Energy consumption per unit product decline compared with 2021 | % | 51 | 6 | |
Energy consumption reduction target per unit of production | % per year | 5 | 92 | |
Reduction in energy consumption per unit of product compared to 2021 | % | 51 | 11, 93 |
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 | 2022 | 2030 | Report Pages |
---|---|---|---|---|
Annual freshwater consumption reduction target per unit of production | % | 5 | 92 | |
Water resources utilisation - Amount of water recycled | m³ | 23857 | 95 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Packaging material - Carton | Ton | 80.21 | 108 |
Packaging material - Density | Ton/million revenue | 0.06 | 108 |
Packaging material - Others | Ton | 90 | 108 |
Packaging material - Small box | Ton | 105 | 108 |
Packaging material - Total | Ton | 294.1 | 108 |
Packaging material - Tray | Ton | 18.89 | 108 |
Packaging material utilisation - Cartons | Tons | 80.21 | 95 |
Packaging material utilisation - Density | Tons/million revenue | 0.06 | 95 |
Packaging material utilisation - Others | Tons | 90 | 95 |
Packaging material utilisation - Small box | Tons | 105 | 95 |
Packaging material utilisation - Total | Tons | 294.1 | 95 |
Packaging material utilisation - Tray | Tons | 18.89 | 95 |
Packaging specification adjustment - number of boxes per case (after adjustment) | boxes per case | 48 | 94 |
Packaging specification adjustment - number of boxes per case (before adjustment) | boxes per case | 24 | 94 |
Reduction in number of outer boxes used due to packaging specification adjustment | boxes | 80000 | 94 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
ISO 14001:2015 environmental management system certification (BSI audit) | Passed | 93 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of employees by age: 30 years old and below | Person | 2552 | 68 |
Number of employees by age: 31 to 49 years old | Person | 2661 | 68 |
Number of employees by age: 50 years old and above | Person | 81 | 68 |
Number of employees by gender: Female | Person | 2654 | 68 |
Number of employees by gender: Male | Person | 2640 | 68 |
Number of employees by rank: General staff | Person | 4268 | 68 |
Number of employees by rank: Middle management | Person | 969 | 68 |
Number of employees by rank: Senior management | Person | 57 | 68 |
Number of employees by region: Beijing | Person | 205 | 68 |
Number of employees by region: Others (including America and Europe) | Person | 2799 | 68 |
Number of employees by region: Shanghai | Person | 120 | 68 |
Number of employees by region: Suzhou | Person | 2560 | 68 |
Number of full-time employees | Person | 5294 | 68 |
Total number of employees | Person | 5294 | 108 |
Total number of employees by age - 30 to 50 years old | Person | 2681 | 108 |
Total number of employees by age - 30 years old and below | Person | 2552 | 108 |
Total number of employees by age - 50 years old and above | Person | 61 | 108 |
Total number of employees by employment type - Full-time employees | Person | 5294 | 108 |
Total number of employees by gender - Female | Person | 2654 | 108 |
Total number of employees by gender - Male | Person | 2640 | 108 |
Total number of employees by rank - General staff | Person | 4268 | 108 |
Total number of employees by rank - Middle management | Person | 970 | 108 |
Total number of employees by rank - Senior management | Person | 56 | 108 |
Total number of employees by region - Beijing | Person | 205 | 108 |
Total number of employees by region - Others (including America and Europe) | Person | 2779 | 108 |
Total number of employees by region - Shanghai | Person | 470 | 108 |
Total number of employees by region - Suzhou | Person | 1820 | 108 |
Total number of new hires by age - 30 years old and below | Person | 1010 | 108 |
Total number of new hires by age - 31 to 49 years old | Person | 851 | 108 |
Total number of new hires by age - 50 years old and above | Person | 20 | 108 |
Total number of new hires by employment type - Full-time employees | Person | 1881 | 109 |
Total number of new hires by gender - Female | Person | 864 | 108 |
Total number of new hires by gender - Male | Person | 1017 | 108 |
Total number of new hires by rank - General staff | Person | 1600 | 109 |
Total number of new hires by rank - Middle management | Person | 267 | 109 |
Total number of new hires by rank - Senior management | Person | 14 | 109 |
Total number of new hires by region - Beijing | Person | 84 | 109 |
Total number of new hires by region - Others | Person | 1286 | 109 |
Total number of new hires by region - Shanghai | Person | 218 | 109 |
Total number of new hires by region - Suzhou | Person | 293 | 109 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Employee turnover rate by age - 30 years old and below | % | 19.89 | 109 |
Employee turnover rate by age - 31 to 49 years old | % | 21.25 | 109 |
Employee turnover rate by age - 50 years old and above | % | 17.24 | 109 |
Employee turnover rate by gender - Female | % | 20.07 | 109 |
Employee turnover rate by gender - Male | % | 20.99 | 109 |
Employee turnover rate by region - Beijing | % | 25.22 | 109 |
Employee turnover rate by region - Others | % | 19.43 | 109 |
Employee turnover rate by region - Shanghai | % | 26.95 | 109 |
Employee turnover rate by region - Suzhou | % | 19.98 | 109 |
Number of employee turnover by age - 30 years old and below | Person | 539 | 109 |
Number of employee turnover by age - 31 to 49 years old | Person | 566 | 109 |
Number of employee turnover by age - 50 years old and above | Person | 10 | 109 |
Number of employee turnover by gender - Female | Person | 548 | 109 |
Number of employee turnover by gender - Male | Person | 567 | 109 |
Number of employee turnover by region - Beijing | Person | 58 | 109 |
Number of employee turnover by region - Others | Person | 544 | 109 |
Number of employee turnover by region - Shanghai | Person | 128 | 109 |
Number of employee turnover by region - Suzhou | Person | 385 | 109 |
Lost days due to work injury.
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Lost days due to work injury | day | 52 | 2 | 88 |
Number of working days lost due to work injury | Day | 2 | 110 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Employee training percentage by gender - Female | % | 100 | 110 |
Employee training percentage by gender - Male | % | 100 | 110 |
Employee training percentage by rank - General staff | % | 100 | 110 |
Employee training percentage by rank - Middle management | % | 100 | 110 |
Employee training percentage by rank - Senior management | % | 100 | 110 |
Number of Cedar Class lectures for high potential middle managers | lectures | 4 | 72 |
Number of Innovent Vision courses conducted for new employees | courses | 46 | 72 |
Number of academic education and clinical practice guidance sessions under 'Xinhua China' Program | 200 | 58 | |
Number of basic training camps conducted for newly promoted/recruited cadres | camps | 14 | 72 |
Number of employees covered by Innovent Vision courses for new employees | employees | 1881 | 72 |
Number of employees covered by basic training camps for newly promoted/recruited cadres | employees | 489 | 72 |
Number of employees covered by middle-manager training camps for newly promoted/recruited cadres | employees | 193 | 72 |
Number of exchanges and seminars conducted with medical and healthcare professionals | 15000 | 58 | |
Number of healthcare practitioners covered by Oncology Immunization Xinhua China Oncology Immunology Standardized Diagnosis and Treatment Enhancement Training Program | practitioners | nearly 1000 | 5 |
Number of high potential training sessions conducted for high potential middle managers | sessions | 11 | 72 |
Number of leadership training sessions conducted for high potential and in-service employees | sessions | 20 | 72 |
Number of medical and healthcare professionals participating in exchanges and seminars | 8000 | 58 | |
Number of middle-manager training camps conducted for newly promoted/recruited cadres | camps | 8 | 72 |
Number of new leadership courses added for high potential and in-service employees | courses | 10 | 72 |
Number of participants in leadership training sessions for high potential and in-service employees | participants | 528 | 72 |
Percentage of trained female employees | % | 100 | 76 |
Percentage of trained general employees | % | 100 | 76 |
Percentage of trained male employees | % | 100 | 76 |
Percentage of trained middle management | % | 100 | 76 |
Percentage of trained senior management | % | 100 | 76 |
Total R&D investment | RMB2.871 billion | 42 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Average hours of employee training by gender - Female | Hour | 53.12 | 110 |
Average hours of employee training by gender - Male | Hour | 52.01 | 110 |
Average hours of employee training by rank - General staff | Hour | 43.30 | 110 |
Average hours of employee training by rank - Middle management | Hour | 55.29 | 110 |
Average hours of employee training by rank - Senior management | Hour | 52.07 | 110 |
Average training hours completed by female employee | hours | 53.67 | 76 |
Average training hours completed by general employees | hours | 54.74 | 76 |
Average training hours completed by male employee | hours | 55.79 | 76 |
Average training hours completed by middle management | hours | 55.23 | 76 |
Average training hours completed by senior management | hours | 44.09 | 76 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of supplier by region - Central China | Unit | 24 | 110 |
Number of supplier by region - Eastern China | Unit | 576 | 110 |
Number of supplier by region - North East | Unit | 9 | 110 |
Number of supplier by region - North West | Unit | 2 | 110 |
Number of supplier by region - Northern China | Unit | 112 | 110 |
Number of supplier by region - Outside China (including Hong Kong, Macau and Taiwan) | Unit | 45 | 110 |
Number of supplier by region - South West | Unit | 13 | 110 |
Number of supplier by region - Southern China | Unit | 32 | 110 |
Number of supplier by type - Clinical | Unit | 79 | 110 |
Number of supplier by type - Engineering | Unit | 107 | 110 |
Number of supplier by type - Fixed asset | Unit | 150 | 110 |
Number of supplier by type - Material | Unit | 193 | 110 |
Number of supplier by type - Ordinary | Unit | 230 | 110 |
Number of supplier by type - R&D | Unit | 54 | 110 |
Number of suppliers by region: Central China | Per unit | 24 | 65 |
Number of suppliers by region: East China | Per unit | 576 | 65 |
Number of suppliers by region: North China | Per unit | 112 | 65 |
Number of suppliers by region: Northeast China | Per unit | 9 | 65 |
Number of suppliers by region: Northwest China | Per unit | 2 | 65 |
Number of suppliers by region: Outside China (including Hong Kong, Macau and Taiwan) | Per unit | 45 | 65 |
Number of suppliers by region: South China | Per unit | 32 | 65 |
Number of suppliers by region: Southwest China | Per unit | 13 | 65 |
Number of suppliers by type: Clinical | Per unit | 79 | 65 |
Number of suppliers by type: Engineering | Per unit | 107 | 65 |
Number of suppliers by type: Fixed assets | Per unit | 150 | 65 |
Number of suppliers by type: Materials | Per unit | 193 | 65 |
Number of suppliers by type: Ordinary | Per unit | 230 | 65 |
Number of suppliers by type: R&D | Per unit | 54 | 65 |
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 | 2022 | Report Pages |
---|---|---|---|
Number of GDP supplier audits conducted (mainly quality audits) | 24 | 66 | |
Number of GMP supplier audits conducted | 82 | 66 | |
Number of causal GMP supplier audits | 3 | 66 | |
Number of qualification GMP supplier audits | 40 | 66 | |
Number of regular GMP supplier audits | 39 | 66 | |
Pass rate of GDP supplier audits | % | 100 | 66 |
Pass rate of GMP supplier audits | % | 97.6 | 66 |
Description of practices used to promote environmentally preferable products and services when selecting suppliers, and how they are implemented and monitored.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of high-value pipelines established | 35 | 42 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
First clinical patient dosing of IBI343 (CLDN 18.2 antibody coupling) in Australia | patient | 1 | 57 | |
First clinical patient dosing of PD-1/IL-2 bi-specific antibody fusion protein IBI363 in Australia | patient | 1 | 57 | |
Number of clinical research data presented at industrial conferences | around 20 | 42 | ||
Number of high-quality academic articles published | more than 10 | 42 | ||
Number of new products with clinical studies started | 19 | 42 | ||
Number of products approved for marketing | 8 | 5, 42 | ||
Number of products entered phase III or pivotal clinical trials | 5 | 42 | ||
Product and service complaints | Case | 88 | 110 | |
Ratio of sales and marketing expenses (annual) | % | 65.5 | 62.6 | 38 |
Ratio of sales and marketing expenses (first half) | % | 68.5 | 38 | |
Ratio of sales and marketing expenses (second half) | % | 56.9 | 38 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Ranking in Top 100 Global Biomedical Invention Patents by incoPat Innovation Index Research Center | rank | Top 100 | 43 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of awards for innovation capabilities (Nature Index Top Company, Forbes China, Jiangsu Province) | 4 | 5 | |
Number of products under NMPA's review | 3 | 42 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of medical workers benefitted by 'Xinhua China' Primary Oncology Diagnosis and Treatment Capacity Enhancement Project | 1000 | 58 | |
Number of people reached by 'Xinhua China' Primary Oncology Diagnosis and Treatment Capacity Enhancement Project | 1.3 million | 58 | |
Number of platforms for science popularization and medical education cooperation | 20 | 58 | |
Number of students in Cedar Class lectures for high potential middle managers | students | 40 | 72 |
Number of students in PICEA Leadership Program 1 for high potential middle managers | students | 20 | 72 |
Number of students in PICEA Leadership Program 2 for high potential middle managers | students | 31 | 72 |
Ranking in Forbes Top 50 Innovative Companies in China | rank | Top 50 | 43 |
Ranking in Nature Index for most powerful companies in life sciences in China | rank | 2 | 43 |
Ranking of Dr. Liu Yongjun in China’s life science field (Stanford University list) | rank | 2 | 43 |
Ranking of Dr. Liu Yongjun in China’s pharmaceutical field (Stanford University list) | rank | 1 | 43 |
Sanofi initial strategic equity investment in Innovent | million EUR | 300 | 43 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Number of Chinese cities covered by Oncology Immunization Xinhua China Oncology Immunology Standardized Diagnosis and Treatment Enhancement Training Program | cities | 100 | 5 |
Number of cities covered by 'Xinhua China' Primary Oncology Diagnosis and Treatment Capacity Enhancement Project | 100 | 58 | |
Number of hospitals covered by Oncology Immunization Xinhua China Oncology Immunology Standardized Diagnosis and Treatment Enhancement Training Program | hospitals | nearly 1000 | 5 |
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 | 2022 |
---|---|---|
Direct GHG Emissions (Scope 1) | Tons of carbon dioxide equivalent | 66.74 |
Indirect Energy Emissions (Scope 2) | Tons of carbon dioxide equivalent | 22236.21 |
Scope 1 GHG Emissions Intensity (By Revenue) | Tons of carbon dioxide equivalent/million revenue | 0.01 |
Scope 2 GHG Emissions Intensity (By Revenue) | Tons of carbon dioxide equivalent/million revenue | 4.88 |
Total GHG Emissions | Tons of carbon dioxide equivalent | 22302.95 |
Total GHG Emissions Intensity (By Revenue) | Tons of carbon dioxide equivalent/million revenue | 4.89 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 |
---|---|---|
Total Hazardous Waste | Ton | 570 |
Total Hazardous Waste Intensity (By Revenue) | Ton/million revenue | 0.13 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 |
---|---|---|
Total Non-Hazardous Waste | Ton | 366 |
Total Non-Hazardous Waste Intensity (By Revenue) | Ton/million revenue | 0.08 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2030 |
---|---|---|
Target Reduction in GHG Intensity Percentage by 2030 Compared to 2020 | % | 10 |
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 | 2022 |
---|---|---|
Comprehensive Energy Consumption Intensity (By Revenue) | Tons of standard coal/million revenue | 1.52 |
Energy Consumption Intensity (By Revenue) | Tons of standard coal/million revenue | 1.52 |
Natural Gas Consumption | 0'000 standard m³ | 3.09 |
Purchased Electricity | MWh | 53.5 |
Purchased Electricity Intensity (By Revenue) | MWh/million revenue | 0.01 |
Purchased Heating | KJ | 201870030000 |
Total Energy Consumption | Tons of standard coal | 6928.33 |
Total Indirect Energy Consumption | MWh | 53.5 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2022 |
---|---|---|
Municipal Water Consumption | m³ | 645899 |
Recycled Water Usage | m³ | 23857 |
Water Consumption Intensity (By Revenue) | m³/million revenue | 141.76 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2022 | 2030 |
---|---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % | 51 | |
Target Energy Consumption Reduction Percentage Compared to Last Year | % | 5 | |
Target Energy Consumption Reduction Percentage by 2030 Compared to 2021 | % per year | 5 |
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 | 2030 |
---|---|---|
Target Water Consumption Reduction Percentage Compared to Last Year | % | 5 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2022 |
---|---|---|
Packaging Material Intensity (By Revenue) | Ton/million revenue | 0.06 |
Packaging Materials Consumed | Ton | 294.1 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Employees Aged 30-50 | Person | 2681 |
Number of Employees Aged Above 50 | Person | 61 |
Number of Employees Aged Below 30 | Person | 2552 |
Number of Female Employees | Person | 2654 |
Number of Full-time Employees | Person | 5294 |
Number of General Employees | Person | 4268 |
Number of Male Employees | Person | 2640 |
Number of Middle Management Employees | Person | 970 |
Number of New Employees | Person | 1881 |
Number of New Employees (Above 50) | Person | 20 |
Number of New Employees (Aged 30-50) | Person | 851 |
Number of New Employees (Aged Below 30) | Person | 1010 |
Number of New Employees (Female) | Person | 864 |
Number of New Employees (Male) | Person | 1017 |
Number of New Employees (Middle Management) | Person | 267 |
Number of New Employees (Senior Management) | Person | 14 |
Number of Senior Management Employees | Person | 56 |
Number of Total Employees | Person | 5294 |
Percentage of Employees Aged 30-50 | % | 50.65 |
Percentage of Employees Aged Above 50 | % | 1.15 |
Percentage of Employees Aged Below 30 | % | 48.22 |
Percentage of Female Employees | % | 50.13 |
Percentage of Full-time Employees | % | 100 |
Percentage of General Employees | % | 80.61 |
Percentage of Male Employees | % | 49.87 |
Percentage of Middle Management Employees | % | 18.33 |
Percentage of New Employees | % | 35.54 |
Percentage of Senior Management Employees | % | 1.06 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 21.25 |
Turnover Rate of Employees Aged Above 50 | % | 17.24 |
Turnover Rate of Employees Aged Below 30 | % | 19.89 |
Turnover Rate of Female Employees | % | 20.07 |
Turnover Rate of Male Employees | % | 20.99 |
Lost days due to work injury.
Standard Indicator | Unit | 2021 | 2022 |
---|---|---|---|
Lost Days Due to Work-related Injuries | day | 52 | 2 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 |
---|---|---|
Percentage of Employees Trained | % | 100 |
Percentage of Trained Female Employees | % | 100 |
Percentage of Trained General Employees | % | 100 |
Percentage of Trained Male Employees | % | 100 |
Percentage of Trained Middle Management | % | 100 |
Percentage of Trained Senior Management | % | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2022 |
---|---|---|
Average Training Hours (Female) | hours | 53.67 |
Average Training Hours (General Employees) | hours | 54.74 |
Average Training Hours (General Staff) | Hour | 43.3 |
Average Training Hours (Male) | Hour | 53.12 |
Average Training Hours (Middle Management) | Hour | 55.29 |
Average Training Hours (Senior Management) | Hour | 52.07 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Suppliers in Central China | Unit | 24 |
Number of Suppliers in East China | Unit | 576 |
Number of Suppliers in Mainland China | Unit | 768 |
Number of Suppliers in North China | Unit | 112 |
Number of Suppliers in Northeast China | Unit | 9 |
Number of Suppliers in Northwest China | Unit | 2 |
Number of Suppliers in Overseas | Unit | 45 |
Number of Suppliers in South China | Unit | 32 |
Number of Suppliers in Southwest China | Unit | 13 |
Number of Total Suppliers | Unit | 813 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Products and Service Related Complaints | Case | 88 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Patents Applied | count | 735 |
Number of Trademark Applications | count | 891 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2022 |
---|---|---|
Total Social Investment | billion RMB | 2.871 |