Environmental, Social and Governance Report 2023
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2025 | Report Pages |
---|---|---|---|
Sewage emission per tonne of linen yarn produced | Cubic Meters | 105 | 97 |
Solid waste emission per tonne of linen yarn produced | Kilogram | 140 | 97 |
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 | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
CH4 emissions | kg | 1528 | 1307 | 1451 | 1625 | 1500 | 105 | |
CO2 Equivalent - Scope 1: Direct emissions | tonnes | 9561 | 8365 | 8152 | 8200 | 7642 | 105 | |
CO2 Equivalent - Scope 2: Indirect emissions | tonnes | 125353 | 106789 | 120507 | 136555 | 125914 | 105 | |
CO2 Equivalent - Total | tonnes | 134914 | 115153 | 128659 | 144756 | 133556 | 105 | |
CO2 emissions | tonnes | 134280 | 114613 | 128051 | 144067 | 132921 | 105 | |
GHG Emission Intensity - Electricity (tonnes of CO2 equivalent, per tonne of yarn) | tonnes CO2e/tonne yarn | 5.25 | 5.38 | 5.19 | 5.37 | 5.52 | 106 | |
GHG Emission Intensity - Natural gas (tonnes of CO2 equivalent, per tonne of yarn) | tonnes CO2e/tonne yarn | 0.92 | 1 | 0.78 | 0.76 | 0.87 | 106 | |
GHG Emission Intensity - Steam (tonnes of CO2 equivalent, per tonne of yarn) | tonnes CO2e/tonne yarn | 1.67 | 2.02 | 1.77 | 2.21 | 2.03 | 106 | |
Greenhouse gas emission per tonne of linen yarn produced | Tonnes of CO₂ equivalent | 6.4 | 97 | |||||
N2O emissions | kg | 1940 | 1656 | 1864 | 2111 | 1946 | 105 | |
Overall GHG Emission Intensity (tonnes of CO2 equivalent, per tonne of yarn) | tonnes CO2e/tonne yarn | 6.54 | 6.89 | 6.45 | 6.67 | 6.8 | 106 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Total Sludge (tonnes) | tonnes | 3293 | 2425 | 2744 | 4282 | 4881 | 104 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Sewage discharged per tonne of yarn produced | cubic meters per tonne | 111 | 125 | 107 | 105 | 105 | 103 |
Sludge per tonne of yarn produced | kg | 160 | 145 | 137 | 197 | 248 | 104 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
As % of total electricity consumption | % | 3.6% | 4.3% | 3.8% | 3.6% | 3.8% | 71 | |
Electricity consumption | kWh | 137555406 | 114057276 | 131421765 | 147818306 | 137488813 | 98 | |
Electricity consumption per tonne of linen yarn produced | kWh | 6400 | 97 | |||||
Electricity used per tonne of yarn produced | kWh | 6661 | 6828 | 6585 | 6811 | 6999 | 99 | |
Natural gas consumption | cubic meters | 4117766 | 3864953 | 3766793 | 3789013 | 3531197 | 98 | |
Natural gas used per tonne of yarn produced (Zhejiang Jinyuan and Heilongjiang Kingdom only) | cubic metres | 425 | 463 | 362 | 353 | 401 | 102 | |
PV as % of total electricity used | 3.6% | 4.3% | 3.8% | 3.6% | 3.8% | 99 | ||
Photovoltaic (PV) solar energy | kWh | 4956767 | 4887467 | 5003557 | 5394517 | 5286156 | 99 | |
Steam consumption | tonnes | 43733 | 43218 | 43031 | 51296 | 44400 | 98 | |
Steam used per tonne of yarn produced (Jiangsu Jinyuan and Zhejiang Kingdom only) | tonnes | 4.3 | 5.2 | 4.5 | 5.6 | 5.2 | 101 | |
Total PV power consumption (kWh) | kWh | 4956767 | 4887467 | 5003557 | 5394517 | 5286156 | 71 | |
Total electricity used (including PV solar energy) | kWh | 137355406 | 114057276 | 131421765 | 147818306 | 137488813 | 99 | |
Total natural gas used | cubic metres | 4417766 | 3864953 | 3766793 | 3789013 | 3531197 | 102 | |
Total steam used | tonnes | 43733 | 43218 | 43031 | 51296 | 44900 | 101 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|
Tap water used | tonnes | 1942081 | 2001435 | 2141474 | 2096096 | 2072012 | 100 | |
Total sewage discharged | cubic meters | 2285103 | 2091628 | 2142305 | 2280135 | 2067564 | 103 | |
Total water used | tonnes | 2792775 | 2473360 | 2532516 | 2696912 | 2531895 | 100 | |
Underground water used | tonnes | 850694 | 471925 | 391042 | 600006 | 459883 | 100 | |
Water consumption | tonnes | 2792775 | 2473360 | 2532516 | 2696912 | 2531895 | 98 | |
Water consumption per tonne of linen yarn produced | Tonne | 120 | 97 | |||||
Water used per tonne of yarn produced | tonnes | 135 | 148 | 127 | 124 | 129 | 100 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Average number of employees | 3894 | 118 | |||||
Headcount % - Ethiopia Kingdom - Female | 2% | 117 | |||||
Headcount % - Ethiopia Kingdom - Male | 7% | 117 | |||||
Headcount % - Heilongjiang Kingdom - Female | 7% | 117 | |||||
Headcount % - Heilongjiang Kingdom - Male | 8% | 117 | |||||
Headcount % - Jiangsu Jinyuan - Female | 12% | 117 | |||||
Headcount % - Jiangsu Jinyuan - Male | 8% | 117 | |||||
Headcount % - Other locations (Hong Kong, Italy and Shanghai) - Female | 0% | 117 | |||||
Headcount % - Other locations (Hong Kong, Italy and Shanghai) - Male | 6% | 117 | |||||
Headcount % - Total | 100% | 117 | |||||
Headcount % - Zhejiang Jinyuan - Female | 14% | 117 | |||||
Headcount % - Zhejiang Jinyuan - Male | 12% | 117 | |||||
Headcount % - Zhejiang Kingdom - Female | 6% | 117 | |||||
Headcount % - Zhejiang Kingdom - Male | 4% | 117 | |||||
Headcount - Ethiopia Kingdom - Female | persons | 84 | 117 | ||||
Headcount - Ethiopia Kingdom - Male | persons | 265 | 117 | ||||
Headcount - Heilongjiang Kingdom - Female | persons | 247 | 117 | ||||
Headcount - Heilongjiang Kingdom - Male | persons | 308 | 117 | ||||
Headcount - Jiangsu Jinyuan - Female | persons | 444 | 117 | ||||
Headcount - Jiangsu Jinyuan - Male | persons | 303 | 117 | ||||
Headcount - Other locations (Hong Kong, Italy and Shanghai) - Female | persons | 15 | 117 | ||||
Headcount - Other locations (Hong Kong, Italy and Shanghai) - Male | persons | 205 | 117 | ||||
Headcount - Total | persons | 3700 | 117 | ||||
Headcount - Zhejiang Jinyuan - Female | persons | 535 | 117 | ||||
Headcount - Zhejiang Jinyuan - Male | persons | 443 | 117 | ||||
Headcount - Zhejiang Kingdom - Female | persons | 205 | 117 | ||||
Headcount - Zhejiang Kingdom - Male | persons | 146 | 117 | ||||
Number of employees | employees | 3700 | 18 | ||||
Number of employees who have returned to work after maternity leave | 11 | 11 | 4 | 4 | 4 | 114 | |
Number of maternity leave applicants | 11 | 13 | 6 | 5 | 8 | 114 | |
Percentage of female employees | % | 62 | 110 | ||||
Ratio of annual total compensation for highest-paid individual to median annual total compensation (excluding highest-paid individual) | times | 4.7 | 110 | ||||
Total number of employees | persons | 3700 | 110 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Average employee entry ratio | 15.69% | 118 | |||||
Employee exit ratio | 25.62% | 118 | |||||
Number of employees who should return to work after maternity leave | 11 | 11 | 4 | 4 | 5 | 114 | |
Return rate of employees who have returned to work after maternity leave | % | 100% | 100% | 100% | 100% | 80% | 114 |
Staff Turnover Entry Rate | % | 28.39% | 22.47% | 43.62% | 24.95% | 25.62% | 119 |
Staff Turnover Exit Rate | % | 25.91% | 14.21% | 16.21% | 17.88% | 15.69% | 119 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2022 | 2023 | Report Pages |
---|---|---|---|---|
Accidents inside the production bases (Ethiopia Kingdom, Male) | cases | 1 | 120 | |
Accidents inside the production bases (Heilongjiang Kingdom, Female) | cases | 1 | 120 | |
Accidents inside the production bases (Heilongjiang Kingdom, Male) | cases | 1 | 120 | |
Accidents inside the production bases (Jiangsu Jinyuan, Female) | cases | 1 | 120 | |
Accidents inside the production bases (Jiangsu Jinyuan, Male) | cases | 3 | 120 | |
Accidents inside the production bases (Zhejiang Jinyuan, Female) | cases | 3 | 120 | |
Accidents inside the production bases (Zhejiang Jinyuan, Male) | cases | 5 | 120 | |
Accidents inside the production bases (Zhejiang Kingdom, Female) | cases | 1 | 120 | |
Accidents inside the production bases (Zhejiang Kingdom, Male) | cases | 4 | 120 | |
Number of work related injury cases - Ethiopia Kingdom | cases | 1 | 121 | |
Number of work related injury cases - Heilongjiang Kingdom | cases | 1 | 121 | |
Number of work related injury cases - Jiangsu Jinyuan | cases | 4 | 121 | |
Number of work related injury cases - Overall | cases | 19 | 121 | |
Number of work related injury cases - Zhejiang Jinda | cases | 5 | 121 | |
Number of work related injury cases - Zhejiang Jinyuan | cases | 8 | 121 | |
Number of work-related fatalities (total) | 1 | 120 | ||
Number of work-related injuries (total) | cases | 14 | 19 | 120 |
Work-related injury frequency (cases per 1 million working hours) | cases per 1 million working hours | 1.93 | 2.09 | 120 |
Work-related injury frequency per million work hours - Ethiopia Kingdom | times | 0.37 | 121 | |
Work-related injury frequency per million work hours - Heilongjiang Kingdom | times | 0.72 | 121 | |
Work-related injury frequency per million work hours - Jiangsu Jinyuan | times | 2.08 | 121 | |
Work-related injury frequency per million work hours - Overall | times | 2.09 | 121 | |
Work-related injury frequency per million work hours - Zhejiang Jinda | times | 5.76 | 121 | |
Work-related injury frequency per million work hours - Zhejiang Jinyuan | times | 3.6 | 121 |
Lost days due to work injury.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Lost day rate (LDR) - Ethiopia Kingdom | 0.04% | 121 | |
Lost day rate (LDR) - Heilongjiang Kingdom | 0.05% | 121 | |
Lost day rate (LDR) - Jiangsu Jinyuan | 0.19% | 121 | |
Lost day rate (LDR) - Overall | 0.16% | 121 | |
Lost day rate (LDR) - Zhejiang Jinda | 0.33% | 121 | |
Lost day rate (LDR) - Zhejiang Jinyuan | 0.27% | 121 | |
Lost days - Ethiopia Kingdom | days | 122 | 121 |
Lost days - Heilongjiang Kingdom | days | 95 | 121 |
Lost days - Jiangsu Jinyuan | days | 448 | 121 |
Lost days - Overall | days | 1768 | 121 |
Lost days - Zhejiang Jinda | days | 354 | 121 |
Lost days - Zhejiang Jinyuan | days | 749 | 121 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Employees received training % (Management) | 6% | 118 | |
Employees received training % (Non-management) | 94% | 118 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Average training hours of each staff (Management) | hours | 24 | 118 |
Average training hours of each staff (Non-management) | hours | 19 | 118 |
Average training hours of each staff - Ethiopia Kingdom - Female | hours | 21 | 117 |
Average training hours of each staff - Ethiopia Kingdom - Male | hours | 21 | 117 |
Average training hours of each staff - Heilongjiang Kingdom - Female | hours | 18 | 117 |
Average training hours of each staff - Heilongjiang Kingdom - Male | hours | 18 | 117 |
Average training hours of each staff - Jiangsu Jinyuan - Female | hours | 19 | 117 |
Average training hours of each staff - Jiangsu Jinyuan - Male | hours | 17 | 117 |
Average training hours of each staff - Other locations (Hong Kong, Italy and Shanghai) - Female | hours | 21 | 117 |
Average training hours of each staff - Other locations (Hong Kong, Italy and Shanghai) - Male | hours | 21 | 117 |
Average training hours of each staff - Total | hours | 19 | 117 |
Average training hours of each staff - Zhejiang Jinyuan - Female | hours | 19 | 117 |
Average training hours of each staff - Zhejiang Jinyuan - Male | hours | 18 | 117 |
Average training hours of each staff - Zhejiang Kingdom - Female | hours | 20 | 117 |
Average training hours of each staff - Zhejiang Kingdom - Male | hours | 17 | 117 |
Number of employees who received training (Management) | 220 | 118 | |
Number of employees who received training (Non-management) | 3480 | 118 | |
Total training hours (Management) | hours | 5317 | 118 |
Total training hours (Non-management) | hours | 65384 | 118 |
Total training hours - Ethiopia Kingdom - Female | hours | 1169 | 117 |
Total training hours - Ethiopia Kingdom - Male | hours | 5544 | 117 |
Total training hours - Heilongjiang Kingdom - Female | hours | 4446 | 117 |
Total training hours - Heilongjiang Kingdom - Male | hours | 5544 | 117 |
Total training hours - Jiangsu Jinyuan - Female | hours | 8436 | 117 |
Total training hours - Jiangsu Jinyuan - Male | hours | 5151 | 117 |
Total training hours - Other locations (Hong Kong, Italy and Shanghai) - Female | hours | 211 | 117 |
Total training hours - Other locations (Hong Kong, Italy and Shanghai) - Male | hours | 2118 | 117 |
Total training hours - Zhejiang Jinyuan - Female | hours | 10162 | 117 |
Total training hours - Zhejiang Jinyuan - Male | hours | 7974 | 117 |
Total training hours - Zhejiang Kingdom - Female | hours | 4100 | 117 |
Total training hours - Zhejiang Kingdom - Male | hours | 2482 | 117 |
Total work time - Ethiopia Kingdom | days | 335092 | 121 |
Total work time - Heilongjiang Kingdom | days | 172906 | 121 |
Total work time - Jiangsu Jinyuan | days | 240117 | 121 |
Total work time - Overall | days | 1133975 | 121 |
Total work time - Zhejiang Jinda | days | 108453 | 121 |
Total work time - Zhejiang Jinyuan | days | 277407 | 121 |
Number of suppliers by geographical region.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Share of China's pure linen yarn exports by volume | percentage | over 40% | 18 |
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 | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Inclusion of Heilongjiang Kingdom in 2022 ESG Report | ✓ | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2023 ESG Report | ✓ | 8 | |||||
Inclusion of Jiangsu Jinyuan in 2019 ESG Report | ✓ | 8 | |||||
Inclusion of Jiangsu Jinyuan in 2020 ESG Report | ✓ | 8 | |||||
Inclusion of Jiangsu Jinyuan in 2021 ESG Report | ✓ | 8 | |||||
Inclusion of Jiangsu Jinyuan in 2022 ESG Report | ✓ | 8 | |||||
Inclusion of Jiangsu Jinyuan in 2023 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Jinyuan in 2019 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Jinyuan in 2020 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Jinyuan in 2021 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Jinyuan in 2022 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Jinyuan in 2023 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Kingdom in 2019 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Kingdom in 2020 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Kingdom in 2021 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Kingdom in 2022 ESG Report | ✓ | 8 | |||||
Inclusion of Zhejiang Kingdom in 2023 ESG Report | ✓ | 8 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Delivery - Amount reliability (average customer rating) | 4.61 | 63 | |
Delivery - Timeliness (average customer rating) | 4.68 | 63 | |
Product - Offerings (average customer rating) | 4.44 | 63 | |
Product - Packaging (average customer rating) | 4.63 | 63 | |
Product - Pricing (average customer rating) | 3.88 | 63 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Delivery - Speed of invoicing (average customer rating) | 4.63 | 63 | ||||||||||
Handling of Complaints - Effectiveness (average customer rating) | 4.56 | 63 | ||||||||||
Handling of Complaints - Reaction time (average customer rating) | 4.66 | 63 | ||||||||||
Satisfaction Value (SV) of key customers | 4.18 | 4.43 | 4.52 | 4.5 | 4.6 | 4.54 | 4.55 | 4.53 | 4.58 | 4.55 | 62 | |
Services - After-sale services (average customer rating) | 4.68 | 63 | ||||||||||
Services - Order follow-up and communication (average customer rating) | 4.76 | 63 | ||||||||||
Services - Other services (average customer rating) | 4.66 | 63 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2023 | Report Pages |
---|---|---|---|
Product - Quality (average customer rating) | 4.46 | 63 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | Report Pages |
---|---|---|---|---|---|---|---|
Inclusion of Ethiopia Kingdom in 2019 ESG Report | n/a | 8 | |||||
Inclusion of Ethiopia Kingdom in 2020 ESG Report | n/a | 8 | |||||
Inclusion of Ethiopia Kingdom in 2021 ESG Report | X | 8 | |||||
Inclusion of Ethiopia Kingdom in 2022 ESG Report | ✓ | 8 | |||||
Inclusion of Ethiopia Kingdom in 2023 ESG Report | ✓ | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2019 ESG Report | X | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2020 ESG Report | ✓ | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2021 ESG Report | ✓ | 8 | |||||
Overall Satisfaction Value (SV) of 41 major customers | 4.55 | 63 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 |
---|---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2e | 9561 | 8365 | 8152 | 8200 | 7642 | |
Indirect Energy Emissions (Scope 2) | tonnes CO2e | 125353 | 106789 | 120507 | 136555 | 125914 | |
Total GHG Emissions | tonnes CO2e | 134914 | 115153 | 128659 | 144756 | 133556 | |
Total GHG Emissions Intensity (By Product Weight) | tonnes CO2e/tonne yarn | 6.54 | 6.89 | 6.45 | 6.67 | 6.8 | 6.4 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Total Hazardous Waste | tonnes | 3293 | 2425 | 2744 | 4282 | 4881 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Total Non-Hazardous Waste Intensity (By Product Weight) | kg per tonne | 160 | 145 | 137 | 197 | 248 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 | 2025 |
---|---|---|---|---|---|---|---|
Natural Gas Consumption | cubic meters | 4117766 | 3864953 | 3766793 | 3789013 | 3531197 | |
Purchased Electricity | kWh | 137555406 | 114057276 | 131421765 | 147818306 | 137488813 | |
Purchased Steam | tonnes | 43733 | 43218 | 43031 | 51296 | 44400 | |
Solar Energy | kWh | 4956767 | 4887467 | 5003557 | 5394517 | 5286156 | |
Total Electricity Consumption Intensity (By Product Weight) | kWh | 6661 | 6828 | 6585 | 6811 | 6999 | 6400 |
Total Natural Gas Used | cubic metres | 4417766 | 3864953 | 3766793 | 3789013 | 3531197 | |
Total PV Power Consumption (kWh) | kWh | 4956767 | 4887467 | 5003557 | 5394517 | 5286156 | |
Total Steam Used | tonnes | 43733 | 43218 | 43031 | 51296 | 44900 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Groundwater Withdrawal | tonnes | 850694 | 471925 | 391042 | 600006 | 459883 |
Total Wastewater Discharge | cubic meters | 2285103 | 2091628 | 2142305 | 2280135 | 2067564 |
Total Water Withdrawal | tonnes | 2792775 | 2473360 | 2532516 | 2696912 | 2531895 |
Water Consumption | tonnes | 2792775 | 2473360 | 2532516 | 2696912 | 2531895 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit |
---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % |
Steam Usage Reduction Percentage Compared to Last Year | % |
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 |
---|---|
Water Consumption Reduction Percentage Compared to Last Year | % |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit |
---|---|
Total Investment in Ecological Restoration | million RMB |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2023 |
---|---|---|
Number of Employees Aged 30-50 | persons | 1530 |
Number of Employees Aged 30-50 (Female) | persons | 873 |
Number of Employees Aged 30-50 (Male) | persons | 657 |
Number of Employees Aged Above 50 | persons | 821 |
Number of Employees Aged Above 50 (Female) | persons | 466 |
Number of Employees Aged Above 50 (Male) | persons | 355 |
Number of Employees Aged Below 30 | persons | 1349 |
Number of Employees Aged Below 30 (Female) | persons | 948 |
Number of Employees Aged Below 30 (Male) | persons | 401 |
Number of Female Employees | persons | 2293 |
Number of Male Employees | persons | 1407 |
Number of New Employees | persons | 611 |
Number of Total Employees | persons | 3700 |
Percentage of Employees Aged 30-50 | % | 41 |
Percentage of Employees Aged Above 50 | % | 22 |
Percentage of Employees Aged Below 30 | % | 37 |
Percentage of Female Employees | % | 62 |
Percentage of Male Employees | % | 38 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Turnover Rate of Total Employees | % | 25.91 | 14.21 | 16.21 | 17.88 | 25.62 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2021 | 2022 | 2023 |
---|---|---|---|---|
Number of Fatalities as a Result of Work-related Injuries | cases | 1 | ||
Number of Fatalities of the Last 3 Years | cases | 1 | 1 | 1 |
Number of Work-related Fatalities | cases | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2023 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 1768 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2023 |
---|---|---|
Percentage of Trained General Employees | % | 94 |
Percentage of Trained Senior Management | % | 6 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2023 |
---|---|---|
Average Training Hours (Female) | hours | 19 |
Average Training Hours (General Staff) | hours | 19 |
Average Training Hours (Male) | hours | 19 |
Average Training Hours per Employee | hours | 19 |
Total Training Hours | hours | 70701 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2023 |
---|---|---|
Satisfaction Rate of Customer Complaint Handling | out of 5 | 4.56 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit |
---|---|
Number of Intellectual Property Rights Obtained by the Company | |
Number of Patents Held |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit |
---|---|
Total Social Investment | million RMB |