Environmental, Social and Governance Report 2022
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 | 85 |
Solid waste emission per tonne of linen yarn produced | Kilogram | 140 | 85 |
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 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
CH4 emissions | kg | 1142 | 1342 | 1528 | 1307 | 1451 | 1625 | 93 | |
CO2 emissions | tonnes | 101021 | 117860 | 134280 | 114613 | 128051 | 144067 | 93 | |
CO2 equivalent - Scope 1: Direct emissions | tonnes | 5955 | 8472 | 9561 | 8365 | 8152 | 8193 | 93 | |
CO2 equivalent - Scope 2: Indirect emissions | tonnes | 95548 | 109945 | 125353 | 106789 | 120507 | 135874 | 93 | |
CO2 equivalent - Total | tonnes | 101503 | 118417 | 134914 | 115153 | 128659 | 144067 | 93 | |
GHG Emission Intensity - Electricity (tonnes of CO2 equivalent per tonne of yarn) | tonnes CO2e/tonne yarn | 5.05 | 5.06 | 5.25 | 5.38 | 5.19 | 5.37 | 94 | |
GHG Emission Intensity - Natural gas (tonnes of CO2 equivalent per tonne of yarn) | tonnes CO2e/tonne yarn | 0.92 | 0.95 | 0.92 | 1 | 0.78 | 0.76 | 94 | |
GHG Emission Intensity - Steam (tonnes of CO2 equivalent per tonne of yarn) | tonnes CO2e/tonne yarn | 2.08 | 1.69 | 1.67 | 2.02 | 1.77 | 2.21 | 94 | |
Greenhouse gas emission per tonne of linen yarn produced | Tonnes of CO2 equivalent | 6.4 | 85 | ||||||
N2O emissions | kg | 1481 | 1703 | 1940 | 1656 | 1864 | 2111 | 93 | |
Overall GHG Emission Intensity (tonnes of CO2 equivalent per tonne of yarn) | tonnes CO2e/tonne yarn | 6.6 | 6.4 | 6.54 | 6.89 | 6.45 | 6.67 | 94 |
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 | Report Pages |
---|---|---|---|---|---|---|
Total Sludge (tonnes) | tonnes | 3293 | 2425 | 2744 | 4282 | 92 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|---|
Sewage discharged per tonne of yarn produced | 113 | 105 | 111 | 125 | 105 | 122 | 91 | |
Sludge per tonne of yarn produced | kg | 160 | 145 | 137 | 216 | 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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Change in natural gas consumption per tonne of yarn produced compared to previous year | -2.5% | 90 | ||||||||
Change in total natural gas used compared to previous year | 0.6% | 90 | ||||||||
Coal consumption | tonnes | 3731 | 86 | |||||||
Electricity consumption | kWh | 95800000 | 98494243 | 118941540 | 137555406 | 114057276 | 131421765 | 147818306 | 86 | |
Electricity consumption per tonne of linen yarn produced | kWh | 6400 | 85 | |||||||
Electricity used per tonne of yarn produced | kWh/tonne | 6406 | 6425 | 6661 | 6828 | 6585 | 6811 | 87 | ||
Natural gas consumption | cubic meters | 902959 | 2751799 | 3914568 | 4417766 | 3864953 | 3766793 | 3789013 | 86 | |
Natural gas used per tonne of yarn produced | cubic metres per tonne | 424 | 439 | 425 | 463 | 362 | 353 | 90 | ||
PV as % of total electricity used | 4.1% | 3.7% | 3.6% | 4.3% | 3.8% | 3.6% | 87 | |||
Photovoltaic (PV) solar energy (kWh) generated | kWh | 4067780 | 4430102 | 4956767 | 4887467 | 5003557 | 5394517 | 63 | ||
Photovoltaic (PV) solar energy as % of total electricity consumption | % | 4.1% | 3.7% | 3.6% | 4.3% | 3.8% | 3.6% | 63 | ||
Photovoltaic (PV) solar energy used | kWh | 4067780 | 4430120 | 4956767 | 4887467 | 5003557 | 5394517 | 87 | ||
Solar generation as % of all Kingdom factories' electricity consumption | % | 3.6% | 63 | |||||||
Steam consumption | tonnes | 48528 | 45842 | 41443 | 43733 | 43418 | 43031 | 51296 | 86 | |
Steam consumption per tonne of yarn produced | 6.5 | 11 | ||||||||
Steam used per tonne of yarn produced | tonnes | 5.2 | 4.3 | 4.3 | 5.2 | 4.5 | 6.5 | 89 | ||
Total consumption of natural gas | million tonnes | 3.79 | 90 | |||||||
Total electricity used (including PV solar energy) | kWh | 98494243 | 118941540 | 137355406 | 114057276 | 131421765 | 147818306 | 87 | ||
Total natural gas used | cubic metres | 2751799 | 3914568 | 4417766 | 3864953 | 3766793 | 3789103 | 90 | ||
Total steam used | tonnes | 45842 | 41443 | 43733 | 43218 | 43301 | 51296 | 89 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Tap Water used | tonnes | 714634 | 1175855 | 1942081 | 2001435 | 2141474 | 2096906 | 88 | ||
Total sewage discharged | cubic meters | 1743582 | 1939770 | 2285103 | 2091628 | 2095592 | 2424678 | 91 | ||
Total water used | tonnes | 1965213 | 2226222 | 2792775 | 2473360 | 2532516 | 2696912 | 88 | ||
Underground Water used | tonnes | 1250579 | 1050367 | 850694 | 471925 | 391042 | 600006 | 88 | ||
Water consumption | tonnes | 1732000 | 1965213 | 2226222 | 2792775 | 2473360 | 2532516 | 2696912 | 86 | |
Water consumption per tonne of linen yarn produced | Tonne | 120 | 85 | |||||||
Water used per tonne of yarn produced | tonnes | 128 | 120 | 135 | 148 | 127 | 124 | 88 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|---|---|
Average number of employees | 3948 | 109 | |||||||
Headcount % (Ethiopia Kingdom, Female) | 23% | 108 | |||||||
Headcount % (Ethiopia Kingdom, Male) | 4% | 108 | |||||||
Headcount % (Heilongjiang Kingdom, Female) | 6% | 108 | |||||||
Headcount % (Heilongjiang Kingdom, Male) | 9% | 108 | |||||||
Headcount % (Jiangsu Jinyuan, Female) | 11% | 108 | |||||||
Headcount % (Jiangsu Jinyuan, Male) | 8% | 108 | |||||||
Headcount % (Other locations, Female) | 0% | 108 | |||||||
Headcount % (Other locations, Male) | 0% | 108 | |||||||
Headcount % (Total, Female) | 60% | 108 | |||||||
Headcount % (Total, Male) | 40% | 108 | |||||||
Headcount % (Zhejiang Jinyuan, Female) | 15% | 108 | |||||||
Headcount % (Zhejiang Jinyuan, Male) | 12% | 108 | |||||||
Headcount % (Zhejiang Kingdom, Female) | 6% | 108 | |||||||
Headcount % (Zhejiang Kingdom, Male) | 4% | 108 | |||||||
Headcount (Ethiopia Kingdom, Female) | 950 | 108 | |||||||
Headcount (Ethiopia Kingdom, Male) | 198 | 108 | |||||||
Headcount (Heilongjiang Kingdom, Female) | 298 | 108 | |||||||
Headcount (Heilongjiang Kingdom, Male) | 373 | 108 | |||||||
Headcount (Jiangsu Jinyuan, Female) | 463 | 108 | |||||||
Headcount (Jiangsu Jinyuan, Male) | 315 | 108 | |||||||
Headcount (Other locations, Female) | 6 | 108 | |||||||
Headcount (Total, Female) | 3061 | 108 | |||||||
Headcount (Total, Male) | 2026 | 108 | |||||||
Headcount (Zhejiang Jinyuan, Female) | 602 | 108 | |||||||
Headcount (Zhejiang Jinyuan, Male) | 478 | 108 | |||||||
Headcount (Zhejiang Kingdom, Female) | 236 | 108 | |||||||
Headcount (Zhejiang Kingdom, Male) | 162 | 108 | |||||||
Headcount at the beginning of the year - Ethiopia Kingdom Female | 81 | 109 | |||||||
Headcount at the beginning of the year - Ethiopia Kingdom Male | 191 | 109 | |||||||
Headcount at the beginning of the year - Heilongjiang Kingdom Female | 261 | 109 | |||||||
Headcount at the beginning of the year - Heilongjiang Kingdom Male | 317 | 109 | |||||||
Headcount at the beginning of the year - Jiangsu Jinyuan Female | 459 | 109 | |||||||
Headcount at the beginning of the year - Jiangsu Jinyuan Male | 286 | 109 | |||||||
Headcount at the beginning of the year - Office Female | 2 | 109 | |||||||
Headcount at the beginning of the year - Office Male | 3 | 109 | |||||||
Headcount at the beginning of the year - Total | 3080 | 109 | |||||||
Headcount at the beginning of the year - Zhejiang Jinyuan Female | 641 | 109 | |||||||
Headcount at the beginning of the year - Zhejiang Jinyuan Male | 444 | 109 | |||||||
Headcount at the beginning of the year - Zhejiang Kingdom Female | 247 | 109 | |||||||
Headcount at the beginning of the year - Zhejiang Kingdom Male | 168 | 109 | |||||||
Headcount at the end of the year - Ethiopia Kingdom Female | 950 | 109 | |||||||
Headcount at the end of the year - Ethiopia Kingdom Male | 198 | 109 | |||||||
Headcount at the end of the year - Heilongjiang Kingdom Female | 298 | 109 | |||||||
Headcount at the end of the year - Heilongjiang Kingdom Male | 373 | 109 | |||||||
Headcount at the end of the year - Jiangsu Jinyuan Female | 463 | 109 | |||||||
Headcount at the end of the year - Jiangsu Jinyuan Male | 315 | 109 | |||||||
Headcount at the end of the year - Office Female | 6 | 109 | |||||||
Headcount at the end of the year - Office Male | 6 | 109 | |||||||
Headcount at the end of the year - Total | 4087 | 109 | |||||||
Headcount at the end of the year - Zhejiang Jinyuan Female | 602 | 109 | |||||||
Headcount at the end of the year - Zhejiang Jinyuan Male | 478 | 109 | |||||||
Headcount at the end of the year - Zhejiang Kingdom Female | 236 | 109 | |||||||
Headcount at the end of the year - Zhejiang Kingdom Male | 162 | 109 | |||||||
Number of employees | employees | 4087 | 98 | ||||||
Number of employees (Kingdom, Haiyan County, Zhejiang Province, PRC) | employees | 4087 | 18 | ||||||
Number of employees who have returned to work after maternity leave | 11 | 11 | 7 | 11 | 11 | 4 | 4 | 102 | |
Number of hirings - Ethiopia Kingdom Female | 128 | 109 | |||||||
Number of hirings - Ethiopia Kingdom Male | 138 | 109 | |||||||
Number of hirings - Heilongjiang Kingdom Female | 90 | 109 | |||||||
Number of hirings - Heilongjiang Kingdom Male | 81 | 109 | |||||||
Number of hirings - Jiangsu Jinyuan Female | 65 | 109 | |||||||
Number of hirings - Jiangsu Jinyuan Male | 88 | 109 | |||||||
Number of hirings - Office Female | 5 | 109 | |||||||
Number of hirings - Office Male | 2 | 109 | |||||||
Number of hirings - Total | 985 | 109 | |||||||
Number of hirings - Zhejiang Jinyuan Female | 64 | 109 | |||||||
Number of hirings - Zhejiang Jinyuan Male | 88 | 109 | |||||||
Number of hirings - Zhejiang Kingdom Female | 64 | 109 | |||||||
Number of hirings - Zhejiang Kingdom Male | 40 | 109 | |||||||
Number of maternity leave applicants | 12 | 13 | 8 | 11 | 13 | 6 | 5 | 102 | |
Percentage of female staff | % | 63 | 98 | ||||||
Percentage of male staff | % | 37 | 98 | ||||||
Percentage of staff aged 30 or below | % | 23 | 98 | ||||||
Percentage of staff aged 31-50 | % | 42 | 98 | ||||||
Percentage of staff aged above 50 | % | 35 | 98 | ||||||
Ratio of annual total compensation of highest-paid individual to median annual total compensation for all employees (excluding highest-paid individual) | times | 4.5 | 98 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Average employee entry ratio | % | 4.95 | 109 | |||||||
Employee exit ratio | % | 17.88 | 109 | |||||||
Number of employees who should return to work after maternity leave | 11 | 11 | 7 | 11 | 11 | 4 | 4 | 102 | ||
Number of exits - Ethiopia Kingdom Female | 151 | 109 | ||||||||
Number of exits - Ethiopia Kingdom Male | 79 | 109 | ||||||||
Number of exits - Heilongjiang Kingdom Female | 53 | 109 | ||||||||
Number of exits - Heilongjiang Kingdom Male | 25 | 109 | ||||||||
Number of exits - Jiangsu Jinyuan Female | 61 | 109 | ||||||||
Number of exits - Jiangsu Jinyuan Male | 59 | 109 | ||||||||
Number of exits - Office Female | 6 | 109 | ||||||||
Number of exits - Total | 706 | 109 | ||||||||
Number of exits - Zhejiang Jinyuan Female | 103 | 109 | ||||||||
Number of exits - Zhejiang Jinyuan Male | 54 | 109 | ||||||||
Number of exits - Zhejiang Kingdom Female | 75 | 109 | ||||||||
Number of exits - Zhejiang Kingdom Male | 46 | 109 | ||||||||
Ratio of percentage increase in annual total compensation of highest-paid individual to median percentage increase for all employees (excluding highest-paid individual) | times | 6.7 | 98 | |||||||
Return rate of employees who took maternity leave | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 102 | ||
Staff Turnover - Entry | % | 20.8 | 16 | 29.4 | 41.99 | 30.93 | 25.91 | 43.62 | 24.95 | 110 |
Staff Turnover - Exit | % | 18.3 | 12.3 | 16 | 21.6 | 28.39 | 14.21 | 16.21 | 17.88 | 110 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2021 | 2022 | Report Pages |
---|---|---|---|---|
Accidents inside the production bases - Jiangsu Jinyuan (Female) | 1 | 110 | ||
Accidents inside the production bases - Jiangsu Jinyuan (Male) | 1 | 110 | ||
Accidents inside the production bases - Total | 14 | 110 | ||
Accidents inside the production bases - Zhejiang Jinyuan (Female) | 3 | 110 | ||
Accidents inside the production bases - Zhejiang Jinyuan (Male) | 4 | 110 | ||
Accidents inside the production bases - Zhejiang Kingdom (Female) | 1 | 110 | ||
Accidents inside the production bases - Zhejiang Kingdom (Male) | 4 | 110 | ||
Number of work related injury cases - Jiangsu Jinyuan | cases | 2 | 111 | |
Number of work related injury cases - Overall | cases | 14 | 111 | |
Number of work related injury cases - Zhejiang Jinda | cases | 5 | 111 | |
Number of work related injury cases - Zhejiang Jinyuan | cases | 7 | 111 | |
Number of work-related fatalities | cases | 1 | 110 | |
Number of work-related fatality - Total | 1 | 110 | ||
Number of work-related injuries | cases | 13 | 14 | 110 |
Work-related injury frequency (cases per 1 million working hours) | cases/1 million working hours | 2.11 | 1.93 | 110 |
Work-related injury frequency per million work hours - Heilongjiang Kingdom | - | 111 | ||
Work-related injury frequency per million work hours - Jiangsu Jinyuan | times | 1.02 | 111 | |
Work-related injury frequency per million work hours - Overall | times | 1.93 | 111 | |
Work-related injury frequency per million work hours - Zhejiang Jinda | times | 3.34 | 111 | |
Work-related injury frequency per million work hours - Zhejiang Jinyuan | times | 3.16 | 111 |
Lost days due to work injury.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Lost day rate (LDR) - Heilongjiang Kingdom | 0.00% | 111 | |
Lost day rate (LDR) - Jiangsu Jinyuan | 0.05% | 111 | |
Lost day rate (LDR) - Overall | 0.13% | 111 | |
Lost day rate (LDR) - Zhejiang Jinda | 0.20% | 111 | |
Lost day rate (LDR) - Zhejiang Jinyuan | 0.24% | 111 | |
Lost days - Jiangsu Jinyuan | days | 120 | 111 |
Lost days - Overall | days | 1153 | 111 |
Lost days - Zhejiang Jinda | days | 368 | 111 |
Lost days - Zhejiang Jinyuan | days | 665 | 111 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Employees received training % (Management) | 6% | 108 | |
Employees received training % (Non-management) | 94% | 108 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Average training hours of each staff (Ethiopia Kingdom, Female) | hours | 20 | 108 |
Average training hours of each staff (Ethiopia Kingdom, Male) | hours | 21 | 108 |
Average training hours of each staff (Heilongjiang Kingdom, Female) | hours | 15 | 108 |
Average training hours of each staff (Heilongjiang Kingdom, Male) | hours | 15 | 108 |
Average training hours of each staff (Jiangsu Jinyuan, Female) | hours | 18 | 108 |
Average training hours of each staff (Jiangsu Jinyuan, Male) | hours | 18 | 108 |
Average training hours of each staff (Management) | hours | 21 | 108 |
Average training hours of each staff (Non-management) | hours | 17 | 108 |
Average training hours of each staff (Other locations, Female) | hours | 12 | 108 |
Average training hours of each staff (Other locations, Male) | hours | 17 | 108 |
Average training hours of each staff (Total, Female) | hours | 17 | 108 |
Average training hours of each staff (Total, Male) | hours | 17 | 108 |
Average training hours of each staff (Zhejiang Jinyuan, Female) | hours | 17 | 108 |
Average training hours of each staff (Zhejiang Jinyuan, Male) | hours | 16 | 108 |
Average training hours of each staff (Zhejiang Kingdom, Female) | hours | 17 | 108 |
Average training hours of each staff (Zhejiang Kingdom, Male) | hours | 16 | 108 |
Number of employees who received training (Management) | 243 | 108 | |
Number of employees who received training (Non-management) | 3844 | 108 | |
Total training hours (Ethiopia Kingdom, Female) | hours | 18595 | 108 |
Total training hours (Ethiopia Kingdom, Male) | hours | 4250 | 108 |
Total training hours (Heilongjiang Kingdom, Female) | hours | 4457 | 108 |
Total training hours (Heilongjiang Kingdom, Male) | hours | 5525 | 108 |
Total training hours (Jiangsu Jinyuan, Female) | hours | 8236 | 108 |
Total training hours (Jiangsu Jinyuan, Male) | hours | 5608 | 108 |
Total training hours (Management) | hours | 5040 | 108 |
Total training hours (Non-management) | hours | 65681 | 108 |
Total training hours (Other locations, Female) | hours | 70 | 108 |
Total training hours (Other locations, Male) | hours | 125 | 108 |
Total training hours (Total, Female) | hours | 50721 | 108 |
Total training hours (Total, Male) | hours | 35167 | 108 |
Total training hours (Zhejiang Jinyuan, Female) | hours | 10320 | 108 |
Total training hours (Zhejiang Jinyuan, Male) | hours | 7568 | 108 |
Total training hours (Zhejiang Kingdom, Female) | hours | 4023 | 108 |
Total training hours (Zhejiang Kingdom, Male) | hours | 2536 | 108 |
Total work time - Heilongjiang Kingdom | days | 199956 | 111 |
Total work time - Jiangsu Jinyuan | days | 244531 | 111 |
Total work time - Overall | days | 908887 | 111 |
Total work time - Zhejiang Jinda | days | 187091 | 111 |
Total work time - Zhejiang Jinyuan | days | 277307 | 111 |
Training fee for management and key technical personnel | RMB | 286000 | 108 |
Number of suppliers by geographical region.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Share of China’s pure linen yarn exports by value (Kingdom) | percent | 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 | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|
Inclusion of Heilongjiang Kingdom in 2022 ESG Report | ✓ | 8 | |||||
Inclusion of Jiangsu Jinyuan in 2018 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 Zhejiang Jinyuan in 2018 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 Kingdom in 2018 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 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Delivery - Amount reliability | 4.62 | 57 | |
Delivery - Timeliness | 4.55 | 57 | |
Product - Offerings | 4.69 | 57 | |
Product - Packaging | 4.79 | 57 | |
Product - Pricing | 4.1 | 57 |
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 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|---|
Delivery - Speed of invoicing | 4.64 | 57 | |||||||||
Handling of Complaints - Effectiveness | 4.5 | 57 | |||||||||
Handling of Complaints - Reaction time | 4.6 | 57 | |||||||||
Satisfaction Value (SV) of key customers | 4.18 | 4.43 | 4.52 | 4.5 | 4.6 | 4.54 | 4.55 | 4.53 | 4.58 | 56 | |
Services - After-sale services | 4.74 | 57 | |||||||||
Services - Order follow-up and communication | 4.74 | 57 | |||||||||
Services - Other services | 4.6 | 57 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2019 | Report Pages |
---|---|---|---|
Kingdom applied 12 patents in 2019 | patents | 12 | 25 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2022 | Report Pages |
---|---|---|---|
Product - Quality | 4.38 | 57 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 | Report Pages |
---|---|---|---|---|---|---|---|
Inclusion of Ethiopia Kingdom in 2018 ESG Report | n/a | 8 | |||||
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 | n/a | 8 | |||||
Inclusion of Ethiopia Kingdom in 2022 ESG Report | ✓ | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2018 ESG Report | ✗ | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2019 ESG Report | ✓ | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2020 ESG Report | ✓ | 8 | |||||
Inclusion of Heilongjiang Kingdom in 2021 ESG Report | ✓ | 8 | |||||
Kingdom completed industrial hemp order with farmers | Mu of land | 100000 | 25 | ||||
Overall Satisfaction Value (SV) of 42 major customers | 4.58 | 57 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2020 | Report Pages |
---|---|---|---|
Kingdom donated to support frontline of epidemic prevention | RMB | 2000000 | 25 |
Kingdom received thank you letter from MUJI for donating masks to MUJI during global shortage | masks | 10000 | 25 |
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 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 |
---|---|---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes | 5955 | 8472 | 9561 | 8365 | 8152 | 8193 | |
Indirect Energy Emissions (Scope 2) | tonnes | 95548 | 109945 | 125353 | 106789 | 120507 | 135874 | |
Total GHG Emissions | tonnes | 101503 | 118417 | 134914 | 115153 | 128659 | 144067 | |
Total GHG Emissions Intensity (By Product Weight) | tonnes CO2e/tonne yarn | 6.6 | 6.4 | 6.54 | 6.89 | 6.45 | 6.67 | 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 |
---|---|---|---|---|---|
Total Hazardous Waste | tonnes | 3293 | 2425 | 2744 | 4282 |
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 |
---|---|---|---|---|---|
Total Non-Hazardous Waste Intensity (By Unit Product) | kg | 160 | 145 | 137 | 216 |
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 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2025 |
---|---|---|---|---|---|---|---|---|---|
Natural Gas Consumption | cubic meters | 902959 | 2751799 | 3914568 | 4417766 | 3864953 | 3766793 | 3789013 | |
Natural Gas Intensity (By Unit Product) | cubic metres per tonne | 424 | 439 | 425 | 463 | 362 | 353 | ||
Percentage of Renewable Energy Consumption | % | 4.1 | 3.7 | 3.6 | 4.3 | 3.8 | 3.6 | ||
Purchased Electricity | kWh | 95800000 | 98494243 | 118941540 | 137555406 | 114057276 | 131421765 | 147818306 | |
Purchased Electricity Intensity (By Unit Product) | kWh/tonne | 6406 | 6425 | 6661 | 6828 | 6585 | 6811 | 6400 | |
Purchased Steam | tonnes | 48528 | 45842 | 41443 | 43733 | 43418 | 43031 | 51296 | |
Purchased Steam Intensity (By Unit Product) | tonnes | 5.2 | 4.3 | 4.3 | 5.2 | 4.5 | 6.5 | ||
Solar Energy | kWh | 4067780 | 4430102 | 4956767 | 4887467 | 5003557 | 5394517 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|
Groundwater Withdrawal | tonnes | 1250579 | 1050367 | 850694 | 471925 | 391042 | 600006 | |
Municipal Water Consumption | tonnes | 714634 | 1175855 | 1942081 | 2001435 | 2141474 | 2096906 | |
Total Wastewater Discharge | cubic meters | 1743582 | 1939770 | 2285103 | 2091628 | 2095592 | 2424678 | |
Water Consumption | tonnes | 1732000 | 1965213 | 2226222 | 2792775 | 2473360 | 2532516 | 2696912 |
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 | employees | 4087 |
Number of Employees Aged Above 50 | employees | 931 |
Number of Employees Aged Below 30 | employees | 1442 |
Number of Female Employees | employees | 3061 |
Number of Male Employees | employees | 2026 |
Number of New Employees | employees | 985 |
Number of New Employees (Female) | employees | 548 |
Number of New Employees (Male) | employees | 437 |
Number of Total Employees | employees | 4087 |
Percentage of Employees Aged 30-50 | % | 42 |
Percentage of Employees Aged Above 50 | % | 35 |
Percentage of Employees Aged Below 30 | % | 23 |
Percentage of Female Employees | % | 63 |
Percentage of Male Employees | % | 37 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|
Turnover Rate of Total Employees | % | 18.3 | 12.3 | 16 | 21.6 | 28.39 | 14.21 | 16.21 | 17.88 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Standard Indicator | Unit | 2022 |
---|---|---|
Number of Fatalities as a Result of Work-related Injuries | cases | 1 |
Number of Work-related Fatalities | cases | 1 |
Lost days due to work injury.
Standard Indicator | Unit | 2022 |
---|---|---|
Lost Days Due to Work-related Injuries | days | 1153 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2022 |
---|---|---|
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 | 2022 |
---|---|---|
Average Training Hours (Female) | hours | 17 |
Average Training Hours (General Staff) | hours | 17 |
Average Training Hours (Male) | hours | 17 |
Average Training Hours per Employee | hours | 17 |
Total Training Hours | hours | 85888 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
Standard Indicator | Unit | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|
Number of Suppliers Participating in ESG Training | suppliers | 3 | 3 | 3 | 3 | 4 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2022 |
---|---|---|
Satisfaction Rate of Customer Complaint Handling | 4.5 |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2019 |
---|---|---|
Number of Patents Applied | patents | 12 |
Number of Patents Held | patents |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2020 |
---|---|---|
Total In-kind Donations | masks | 10000 |
Total Public Welfare Donations | RMB | 2000000 |