Environmental, Social and Governance Report 2019
Extracted ESG KPIs
KPIs are organized by ESG aspects.
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 | Report Pages |
|---|---|---|---|---|---|
| CH4 emissions (kg) | kg | 1142 | 1342 | 1528 | 81 |
| CO2 Equivalent - Scope 1: Direct emissions (tonnes) | tonnes | 5955 | 8472 | 9561 | 81 |
| CO2 Equivalent - Scope 2: Indirect emissions (tonnes) | tonnes | 95548 | 109945 | 125353 | 81 |
| CO2 Equivalent - Total (tonnes) | tonnes | 101503 | 118417 | 134914 | 81 |
| CO2 emissions (tonnes) | tonnes | 101021 | 117860 | 134280 | 81 |
| GHG Emission Intensity - Electricity | tonnes of CO2 equivalent per tonne of yarn | 5.05 | 5.06 | 5.25 | 82 |
| GHG Emission Intensity - Natural gas | tonnes of CO2 equivalent per tonne of yarn | 0.92 | 0.95 | 0.92 | 82 |
| GHG Emission Intensity - Steam | tonnes of CO2 equivalent per tonne of yarn | 2.02 | 1.69 | 1.67 | 82 |
| N2O emissions (kg) | kg | 1481 | 1703 | 1940 | 81 |
| Overall GHG Emission Intensity | tonnes of CO2 equivalent per tonne of yarn | 6.6 | 6.4 | 6.54 | 82 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Total Sludge (tonnes) | tonnes | 1556 | 2875 | 3573 | 2750 | 80 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Sewage discharged per tonne of yarn produced | cubic meters per tonne | 134 | 113 | 105 | 111 | 79 |
| Sludge per tonne of yarn produced | kg | 97 | 187 | 193 | 133 | 80 |
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 | Report Pages |
|---|---|---|---|---|---|---|
| Coal consumption | tonnes | 3731 | 74 | |||
| Electricity consumption | kWh | 95800000 | 98494243 | 118941540 | 137355406 | 74 |
| Electricity used per tonne of yarn produced | kWh | 5952 | 6406 | 6425 | 6661 | 75 |
| Natural gas consumption | cubic metres | 902959 | 2751799 | 3914568 | 4417766 | 74 |
| Natural gas used per tonne of yarn produced | cubic meters per tonne | 56 | 179 | 211 | 214 | 78 |
| PV as % of total electricity used | 0% | 4.1% | 3.7% | 3.6% | 75 | |
| PV solar energy as % of total electricity consumption | % | 4.1 | 3.7 | 3.6 | 55 | |
| Photovoltaic (PV) solar energy | kWh | 4067780 | 4430130 | 4956767 | 75 | |
| Photovoltaic (PV) solar energy (kWh) generated | kWh | 4067780 | 4430102 | 4956767 | 55 | |
| Solar generation as % of all Kingdom factories' electricity consumption | % | 3.6 | 55 | |||
| Solar photovoltaic generators contribution to electricity consumption (all factories) | 3.6% | 26 | ||||
| Steam consumption | tonnes | 48528 | 45842 | 41443 | 43733 | 74 |
| Steam used per tonne of yarn produced | tonnes | 3 | 3 | 2.2 | 2.1 | 77 |
| Total electricity used (including PV solar energy) | kWh | 95800000 | 98494243 | 118941540 | 137355406 | 75 |
| Total natural gas used | cubic meters | 902959 | 2751799 | 3914568 | 4417766 | 78 |
| Total steam used | tonnes | 48528 | 45842 | 41443 | 43733 | 77 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Tap Water used | tonnes | 714634 | 1175855 | 1942081 | 76 | |
| Total sewage discharged | cubic meters | 2154000 | 1743582 | 1939770 | 2285103 | 79 |
| Total water used | tonnes | 1965213 | 2226222 | 2792775 | 76 | |
| Underground Water used | tonnes | 1250579 | 1050367 | 850694 | 76 | |
| Water consumption | tonnes | 1732000 | 1965213 | 2226222 | 2792775 | 74 |
| Water used per tonne of yarn produced | tonnes | 128 | 120 | 135 | 76 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Environmental protection project expenditure | million RMB | 22.57 | 26 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Headcount %, Heilongjiang Jinda, Female | 9% | 96 | ||||
| Headcount %, Heilongjiang Jinda, Male | 9% | 96 | ||||
| Headcount %, Jiangsu Jinyuan, Female | 19% | 96 | ||||
| Headcount %, Jiangsu Jinyuan, Male | 10% | 96 | ||||
| Headcount %, Kingdom (Ethiopia), Female | 1% | 96 | ||||
| Headcount %, Kingdom (Ethiopia), Male | 1% | 96 | ||||
| Headcount %, Other locations (Hong Kong and Italy), Female | 0% | 96 | ||||
| Headcount %, Other locations (Hong Kong and Italy), Male | 0% | 96 | ||||
| Headcount %, Total | 100% | 96 | ||||
| Headcount %, Zhejiang Jinda, Female | 10% | 96 | ||||
| Headcount %, Zhejiang Jinda, Male | 5% | 96 | ||||
| Headcount %, Zhejiang Jinyuan, Female | 22% | 96 | ||||
| Headcount %, Zhejiang Jinyuan, Male | 16% | 96 | ||||
| Headcount at the beginning of the year, Heilongjiang Linda (Female) | 229 | 97 | ||||
| Headcount at the beginning of the year, Heilongjiang Linda (Male) | 247 | 97 | ||||
| Headcount at the beginning of the year, Jiangsu Jinyuan (Female) | 603 | 97 | ||||
| Headcount at the beginning of the year, Jiangsu Jinyuan (Male) | 317 | 97 | ||||
| Headcount at the beginning of the year, Total | 3023 | 97 | ||||
| Headcount at the beginning of the year, Zhejiang Jinyuan (Female) | 714 | 97 | ||||
| Headcount at the beginning of the year, Zhejiang Jinyuan (Male) | 449 | 97 | ||||
| Headcount at the beginning of the year, Zhejiang Linda (Female) | 306 | 97 | ||||
| Headcount at the beginning of the year, Zhejiang Linda (Male) | 153 | 97 | ||||
| Headcount at the end of the year, Heilongjiang Linda (Female) | 230 | 97 | ||||
| Headcount at the end of the year, Heilongjiang Linda (Male) | 281 | 97 | ||||
| Headcount at the end of the year, Jiangsu Jinyuan (Female) | 278 | 97 | ||||
| Headcount at the end of the year, Jiangsu Jinyuan (Male) | 316 | 97 | ||||
| Headcount at the end of the year, Kingdom Ethiopia (Female) | 16 | 97 | ||||
| Headcount at the end of the year, Kingdom Ethiopia (Male) | 16 | 97 | ||||
| Headcount at the end of the year, Office (Female) | 1 | 97 | ||||
| Headcount at the end of the year, Office (Male) | 2 | 97 | ||||
| Headcount at the end of the year, Total | 3099 | 97 | ||||
| Headcount at the end of the year, Zhejiang Jinyuan (Female) | 696 | 97 | ||||
| Headcount at the end of the year, Zhejiang Jinyuan (Male) | 484 | 97 | ||||
| Headcount at the end of the year, Zhejiang Linda (Female) | 305 | 97 | ||||
| Headcount at the end of the year, Zhejiang Linda (Male) | 144 | 97 | ||||
| Headcount, Heilongjiang Jinda, Female | 280 | 96 | ||||
| Headcount, Heilongjiang Jinda, Male | 281 | 96 | ||||
| Headcount, Jiangsu Jinyuan, Female | 576 | 96 | ||||
| Headcount, Jiangsu Jinyuan, Male | 316 | 96 | ||||
| Headcount, Kingdom (Ethiopia), Female | 16 | 96 | ||||
| Headcount, Kingdom (Ethiopia), Male | 36 | 96 | ||||
| Headcount, Other locations (Hong Kong and Italy), Female | 3 | 96 | ||||
| Headcount, Other locations (Hong Kong and Italy), Male | 2 | 96 | ||||
| Headcount, Total | 3099 | 96 | ||||
| Headcount, Zhejiang Jinda, Female | 305 | 96 | ||||
| Headcount, Zhejiang Jinda, Male | 144 | 96 | ||||
| Headcount, Zhejiang Jinyuan, Female | 696 | 96 | ||||
| Headcount, Zhejiang Jinyuan, Male | 484 | 96 | ||||
| Number of applicants for maternity leave | 12 | 13 | 8 | 11 | 90 | |
| Number of employees | employees | 3099 | 16 | |||
| Number of employees who have returned to work after maternity leave | 11 | 11 | 7 | 11 | 90 | |
| Number of hirings, Heilongjiang Linda (Female) | 139 | 97 | ||||
| Number of hirings, Heilongjiang Linda (Male) | 191 | 97 | ||||
| Number of hirings, Jiangsu Jinyuan (Female) | 95 | 97 | ||||
| Number of hirings, Jiangsu Jinyuan (Male) | 87 | 97 | ||||
| Number of hirings, Kingdom Ethiopia (Female) | 16 | 97 | ||||
| Number of hirings, Kingdom Ethiopia (Male) | 19 | 97 | ||||
| Number of hirings, Total | 869 | 97 | ||||
| Number of hirings, Zhejiang Jinyuan (Female) | 24 | 97 | ||||
| Number of hirings, Zhejiang Jinyuan (Male) | 116 | 97 | ||||
| Number of hirings, Zhejiang Linda (Female) | 65 | 97 | ||||
| Number of hirings, Zhejiang Linda (Male) | 78 | 97 | ||||
| Percentage of employees under labor contract | % | 100 | 86 | |||
| Percentage of female staff | % | 60 | 86 | |||
| Percentage of staff by age group: 30 or below | % | 21 | 86 | |||
| Percentage of staff by age group: 31-50 | % | 55 | 86 | |||
| Percentage of staff by age group: above 50 | % | 24 | 86 | |||
| Percentage of staff by gender: Female | % | 59 | 86 | |||
| Percentage of staff by gender: Male | % | 41 | 86 | |||
| Total number of employees | 3099 | 86 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|
| Average employee entry ratio | % | 28.39 | 97 | ||||
| Average employee exit ratio | % | 25.91 | 97 | ||||
| Number of employees who should return to work after maternity leave | 11 | 11 | 7 | 11 | 90 | ||
| Number of exits, Heilongjiang Linda (Female) | 138 | 97 | |||||
| Number of exits, Heilongjiang Linda (Male) | 157 | 97 | |||||
| Number of exits, Jiangsu Jinyuan (Female) | 122 | 97 | |||||
| Number of exits, Jiangsu Jinyuan (Male) | 65 | 97 | |||||
| Number of exits, Kingdom Ethiopia (Female) | 16 | 97 | |||||
| Number of exits, Kingdom Ethiopia (Male) | 9 | 97 | |||||
| Number of exits, Total | 793 | 97 | |||||
| Number of exits, Zhejiang Jinyuan (Female) | 121 | 97 | |||||
| Number of exits, Zhejiang Jinyuan (Male) | 81 | 97 | |||||
| Number of exits, Zhejiang Linda (Female) | 79 | 97 | |||||
| Number of exits, Zhejiang Linda (Male) | 33 | 97 | |||||
| Return rate of employees who took maternity leave | % | 100% | 100% | 100% | 100% | 90 | |
| Staff Turnover Entry | % | 18.3 | 16 | 29.4 | 41.99 | 28.39 | 98 |
| Staff Turnover Exit | % | 16.3 | 12.3 | 21.6 | 30.93 | 25.91 | 98 |
| Turnover | billion RMB | 1.5 | 26 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Accidents inside the production bases Jiangsu Jinyuan Female | 5 | 98 | ||
| Accidents inside the production bases Jiangsu Jinyuan Male | 6 | 98 | ||
| Accidents inside the production bases Total | 17 | 98 | ||
| Accidents inside the production bases Zhejiang Jinda Male | 1 | 98 | ||
| Accidents inside the production bases Zhejiang Jinyuan Female | 3 | 98 | ||
| Accidents inside the production bases Zhejiang Jinyuan Male | 2 | 98 | ||
| Number of traffic accidents outside the production bases Jiangsu Jinyuan Female | 1 | 98 | ||
| Number of traffic accidents outside the production bases Jiangsu Jinyuan Male | 1 | 98 | ||
| Number of traffic accidents outside the production bases Total | 2 | 98 | ||
| Number of work-related fatality Total | 1 | 98 | ||
| Number of work-related fatality Zhejiang Jinyuan Male | 1 | 98 | ||
| Number of work-related injury cases, Jiangsu Jinyuan | 14 | 13 | 99 | |
| Number of work-related injury cases, Overall | 22 | 19 | 99 | |
| Number of work-related injury cases, Zhejiang Jinda | 2 | 1 | 99 | |
| Number of work-related injury cases, Zhejiang Jinyuan | 6 | 5 | 99 | |
| Work-related fatality (total) | 1 | 98 | ||
| Work-related injuries (total) | 22 | 19 | 98 | |
| Work-related injury frequency (cases per 1 million working hours) | cases/1 million working hours | 3.07 | 2.57 | 98 |
| Work-related injury frequency per million work hours, Jiangsu Jinyuan | times | 5.85 | 5.34 | 99 |
| Work-related injury frequency per million work hours, Overall | times | 3.07 | 2.57 | 99 |
| Work-related injury frequency per million work hours, Zhejiang Jinda | times | 1.94 | 0.99 | 99 |
| Work-related injury frequency per million work hours, Zhejiang Jinyuan | times | 2.25 | 1.84 | 99 |
Lost days due to work injury.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Lost day rate (LDR), Heilongjiang Jinda | 0.00% | 0.00% | 99 | |
| Lost day rate (LDR), Jiangsu Jinyuan | 0.06% | 0.09% | 99 | |
| Lost day rate (LDR), Overall | 0.04% | 0.04% | 99 | |
| Lost day rate (LDR), Zhejiang Jinda | 0.02% | 0.01% | 99 | |
| Lost day rate (LDR), Zhejiang Jinyuan | 0.04% | 0.04% | 99 | |
| Lost days, Jiangsu Jinyuan | days | 176 | 260 | 99 |
| Lost days, Overall | days | 342 | 389 | 99 |
| Lost days, Zhejiang Jinda | days | 21 | 9 | 99 |
| Lost days, Zhejiang Jinyuan | days | 145 | 120 | 99 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employees received training %, Management | 6% | 96 | |
| Employees received training %, Non-management | 94% | 96 | |
| Number of employees who received training, Management | 195 | 96 | |
| Number of employees who received training, Non-management | 2904 | 96 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Average training hours of each staff, Heilongjiang Jinda, Female | hours | 11 | 96 | |
| Average training hours of each staff, Heilongjiang Jinda, Male | hours | 11 | 96 | |
| Average training hours of each staff, Jiangsu Jinyuan, Female | hours | 12 | 96 | |
| Average training hours of each staff, Jiangsu Jinyuan, Male | hours | 12 | 96 | |
| Average training hours of each staff, Kingdom (Ethiopia), Female | hours | 32 | 96 | |
| Average training hours of each staff, Kingdom (Ethiopia), Male | hours | 36 | 96 | |
| Average training hours of each staff, Management | hours | 26 | 96 | |
| Average training hours of each staff, Non-management | hours | 12 | 96 | |
| Average training hours of each staff, Other locations (Hong Kong and Italy), Female | hours | 10 | 96 | |
| Average training hours of each staff, Other locations (Hong Kong and Italy), Male | hours | 35 | 96 | |
| Average training hours of each staff, Total | hours | 13 | 96 | |
| Average training hours of each staff, Zhejiang Jinda, Female | hours | 13 | 96 | |
| Average training hours of each staff, Zhejiang Jinda, Male | hours | 13 | 96 | |
| Average training hours of each staff, Zhejiang Jinyuan, Female | hours | 13 | 96 | |
| Average training hours of each staff, Zhejiang Jinyuan, Male | hours | 13 | 96 | |
| Total training hours, Heilongjiang Jinda, Female | hours | 2648 | 96 | |
| Total training hours, Heilongjiang Jinda, Male | hours | 3095 | 96 | |
| Total training hours, Jiangsu Jinyuan, Female | hours | 7085 | 96 | |
| Total training hours, Jiangsu Jinyuan, Male | hours | 3798 | 96 | |
| Total training hours, Kingdom (Ethiopia), Female | hours | 512 | 96 | |
| Total training hours, Kingdom (Ethiopia), Male | hours | 1296 | 96 | |
| Total training hours, Management | hours | 5026 | 96 | |
| Total training hours, Non-management | hours | 34612 | 96 | |
| Total training hours, Other locations (Hong Kong and Italy), Female | hours | 35 | 96 | |
| Total training hours, Other locations (Hong Kong and Italy), Male | hours | 36 | 96 | |
| Total training hours, Total | hours | 39638 | 96 | |
| Total training hours, Zhejiang Jinda, Female | hours | 3982 | 96 | |
| Total training hours, Zhejiang Jinda, Male | hours | 1802 | 96 | |
| Total training hours, Zhejiang Jinyuan, Female | hours | 9055 | 96 | |
| Total training hours, Zhejiang Jinyuan, Male | hours | 6295 | 96 | |
| Total work time, Heilongjiang Jinda | days | 133087 | 153356 | 99 |
| Total work time, Jiangsu Jinyuan | days | 298956 | 304150 | 99 |
| Total work time, Overall | days | 894523 | 924051 | 99 |
| Total work time, Zhejiang Jinda | days | 129028 | 126399 | 99 |
| Total work time, Zhejiang Jinyuan | days | 333452 | 340146 | 99 |
Number of suppliers by geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Share of China’s pure linen yarn exports by volume | percent | over 40 | 16 |
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 | Report Pages |
|---|---|---|---|---|
| Inclusion of Jiangsu Jinyuan in 2018 ESG Report | ✓ | 8 | ||
| Inclusion of Jiangsu Jinyuan in 2019 ESG Report | ✓ | 8 | ||
| Inclusion of Zhejiang Jinda in 2018 ESG Report | ✓ | 8 | ||
| Inclusion of Zhejiang Jinda in 2019 ESG Report | ✓ | 8 | ||
| Inclusion of Zhejiang Jinyuan in 2018 ESG Report | ✓ | 8 | ||
| Inclusion of Zhejiang Jinyuan in 2019 ESG Report | ✓ | 8 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Delivery - Amount reliability | 4.66 | 49 | |
| Delivery - Timeliness | 4.62 | 49 | |
| Product - Offerings | 4.62 | 49 | |
| Product - Packaging | 4.83 | 49 | |
| Product - Pricing | 3.79 | 49 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Delivery - Speed of invoicing | 4.79 | 49 | ||||||
| Handling of Complaints - Effectiveness | 4.45 | 49 | ||||||
| Handling of Complaints - Reaction time | 4.48 | 49 | ||||||
| Handling of Complaints - Response time | 4.48 | 49 | ||||||
| Number of product-related customer complaints received | 29 | 50 | ||||||
| Overall customer satisfactory rate | out of 5 | 4.54 | 26 | |||||
| Satisfaction Value (SV) of Key Customers | 4.18 | 4.43 | 4.52 | 4.5 | 4.6 | 4.54 | 48 | |
| Services - After-sale services | 4.69 | 49 | ||||||
| Services - Order follow-up and communication | 4.69 | 49 | ||||||
| Services - Other services | 4.55 | 49 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Product - Quality | 4.34 | 49 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Inclusion of Heilongjiang Jinda in 2018 ESG Report | X | 8 | ||
| Inclusion of Heilongjiang Jinda in 2019 ESG Report | ✓ | 8 | ||
| Overall Satisfaction Value (SV) of 29 major customers | 4.54 | 49 |
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 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes | 5955 | 8472 | 9561 |
| Indirect Energy Emissions (Scope 2) | tonnes | 95548 | 109945 | 125353 |
| Total GHG Emissions | tonnes | 101503 | 118417 | 134914 |
| Total GHG Emissions Intensity (By Product Volume) | tonnes of CO2 equivalent per tonne of yarn | 6.6 | 6.4 | 6.54 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|
| Total Hazardous Waste | tonnes | 1556 | 2875 | 3573 | 2750 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Unit Product) | kg per tonne | 134 | 113 | 105 | 111 |
Description of emissions target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Percentage of Reduction in GHG Intensity Compared to Last Year | % |
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 |
|---|---|---|---|---|---|
| Natural Gas Consumption | cubic metres | 902959 | 2751799 | 3914568 | 4417766 |
| Natural Gas Consumption Intensity (By Unit Product) | cubic meters per tonne | 56 | 179 | 211 | 214 |
| Percentage of Renewable Energy Consumption | % | 4.1 | 3.7 | 3.6 | |
| Purchased Electricity | kWh | 95800000 | 98494243 | 118941540 | 137355406 |
| Solar Energy | kWh | 4067780 | 4430130 | 4956767 | |
| Steam Consumption | tonnes | 48528 | 45842 | 41443 | 43733 |
| Steam Consumption Intensity (By Unit Product) | tonnes | 3 | 3 | 2.2 | 2.1 |
| Total Electricity Consumption Intensity (By Unit Product) | kWh | 5952 | 6406 | 6425 | 6661 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|
| Groundwater Withdrawal | tonnes | 1250579 | 1050367 | 850694 | |
| Municipal Water Consumption | tonnes | 714634 | 1175855 | 1942081 | |
| Total Wastewater Discharge | cubic meters | 2154000 | 1743582 | 1939770 | 2285103 |
| Total Water Withdrawal | tonnes | 1965213 | 2226222 | 2792775 | |
| Water Consumption | tonnes | 1732000 | 1965213 | 2226222 | 2792775 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Energy Consumption Reduction Compared to Last Year | |
| Energy Consumption Reduction Percentage Compared to Last Year |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit |
|---|---|
| Packaging Materials Consumed |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Investment in Ecological Restoration | million RMB | 22.57 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
| Standard Indicator | Unit |
|---|---|
| Investment in Climate Change Management |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Employees Aged 30-50 | employees | 1708 |
| Number of Employees Aged Above 50 | employees | 749 |
| Number of Employees Aged Below 30 | employees | 638 |
| Number of New Employees | employees | 869 |
| Number of New Employees (Female) | employees | 378 |
| Number of New Employees (Male) | employees | 491 |
| Number of Total Employees | employees | 3099 |
| Percentage of Employees Aged 30-50 | % | 55 |
| Percentage of Employees Aged Above 50 | % | 24 |
| Percentage of Employees Aged Below 30 | % | 21 |
| Percentage of Female Employees | % | 59 |
| Percentage of Male Employees | % | 41 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|---|
| Turnover Rate of Total Employees | % | 16.3 | 12.3 | 21.6 | 30.93 | 25.91 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | 1 | |
| Number of Work-related Fatalities | 1 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 | 2019 |
|---|---|---|---|
| Lost Days Due to Work-related Injuries | days | 342 | 389 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| 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 | 2019 |
|---|---|---|
| Average Training Hours (Female) | hours | 13 |
| Average Training Hours (General Employees) | hours | 12 |
| Average Training Hours (General Staff) | hours | 12 |
| Average Training Hours (Male) | hours | 13 |
| Average Training Hours per Employee | hours | 13 |
| Total Training Hours | hours | 39638 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers | |
| Proportion of Spending on Local Suppliers |
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 |
|---|---|---|---|
| Number of Suppliers Participating in ESG Training | suppliers | 3 | 3 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Standard Indicator | Unit |
|---|---|
| Percentage of Recalled Products for Safety and Health Reasons | % |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Products and Service Related Complaints | 29 | |
| Total Number of Customer Complaints | 29 |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit |
|---|---|
| Number of Patents Held |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Number of Customer Privacy Leakage Incident | count |
| Number of Customer Privacy Related Complaints | count |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Standard Indicator | Unit |
|---|---|
| Number of Confirmed Incidents of Corruption | |
| Number of Corruption Litigation |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit |
|---|---|
| Number of People Participated in Ethical Standards and Anti-corruption Training | persons |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit |
|---|---|
| Investment in Volunteer Activities | million RMB |