Environmental, Social and Governance Report 2018
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Costs of pollution prevention and control | RMB'0000 | 1945 | 64 |
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 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|
CH4 emissions | kg | 1760 | 1095 | 1242 | 62 | |
CO2 Equivalent - Scope 1: Direct emissions | tonnes | 8485 | 5298 | 4849 | 62 | |
CO2 Equivalent - Scope 2: Indirect emissions | tonnes | 94461 | 92309 | 106599 | 62 | |
CO2 Equivalent - Total | tonnes | 102946 | 97607 | 111448 | 62 | |
CO2 emissions | tonnes | 102436 | 97153 | 110925 | 62 | |
CO2 equivalent emission from steam boilers after replacement with natural gas in Zhejiang Jinyuan | tonnes | 4849 | 48 | |||
CO2 equivalent emission from steam boilers before replacement with natural gas in Zhejiang Jinyuan | tonnes | 8669 | 48 | |||
N2O emissions | kg | 1564 | 1431 | 1650 | 62 | |
Natural Gas GHG emissions per tonne of yarn decrease | % | 13 | 22 | |||
Reduction in CO2 equivalent emissions from steam boilers after replacement with natural gas in Zhejiang Jinyuan | 44% | 48 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|
Expenses on industrial waste and office waste treatment and recycling | RMB'0000 | 127 | 64 | ||
Solid Waste Intensity Sludge per tonne of yarn | kg | 97 | 187 | 193 | 61 |
Total number and volume of significant spills | No significant spills occurred in any plant of Kingdon in 2017 | 96 | |||
Weight of transported, imported, exported, or treated waste deemed hazardous under the Basel Convention | No hazardous waste under the Basel Convention has been transported, imported or exported by Kingdon in 2018 | 96 |
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 | Report Pages |
---|---|---|---|---|---|
Sewage discharged - Heilongjiang Jinda | thousand tonnes | 16 | 60 | ||
Sewage discharged - Jiangsu Jinyuan | thousand tonnes | 42.5 | 60 | 57.5 | 60 |
Sewage discharged - Kingdom Linen | thousand tonnes | 34 | 30.4 | 30.2 | 60 |
Sewage discharged - Zhejiang Jinyuan | thousand tonnes | 71.8 | 68 | 84 | 60 |
Sludge generated | tonnes | 1556 | 2875 | 3573 | 60 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
GHG emissions per tonne of yarn decrease | % | 5 | 22 |
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 | Report Pages |
---|---|---|---|---|---|
Annual reduction in power consumption from replacing coal-fired steam boilers with natural gas steam boilers in Zhejiang Jinyuan | kWh | 390000 | 48 | ||
Coal consumption | tonnes | 3731 | 57 | ||
Electricity consumption | kWh | 95800000 | 94680000 | 109530000 | 57 |
Electricity consumption per tonne of yarn | kWh/tonne | 5952 | 6158 | 5917 | 57 |
Largest linen yarn manufacturer in China annual capacity | tonnes | 18523 | 22 | ||
Natural gas consumption | cubic metres | 902959 | 2710646 | 2479962 | 57 |
Natural gas consumption per tonne of yarn | cubic metres | 129.7 | 417.73 | 365.4 | 58 |
Percentage of total electricity consumption from solar generation at Zhejiang Jinda plant | % | 7 | 49 | ||
Percentage of total electricity consumption from solar generation at Zhejiang Jinyuan plant | % | 3.5 | 49 | ||
Reduction in steam consumption per tonne of yarn manufactured | % | 13 | 9 | ||
Solar photovoltaic generators electricity generated by Zhejiang Jinda | % | 7 | 22 | ||
Solar photovoltaic generators electricity generated by Zhejiang Jinyuan | % | 3.6 | 22 | ||
Steam consumption | tonnes | 48528 | 76790 | 81420 | 57 |
Steam consumption per tonne of yarn | tonnes | 3.01 | 4.9945 | 4.3982 | 58 |
Total annual natural gas consumption | cubic metres | 902959 | 2710646 | 2479962 | 58 |
Total annual steam consumption | tonnes | 48528 | 76790 | 81420 | 58 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|
Reduction in water consumption per tonne of yarn manufactured | % | 8 | 9 | ||
Total sewage discharged | thousand tonnes | 148.3 | 158.4 | 187.7 | 60 |
Total water consumption | tonnes | 1730000 | 1960000 | 2136000 | 57 |
Water consumption | 10000 tonnes | 173 | 196 | 213 | 57 |
Water consumption per tonne of yarn | tonnes/tonne | 107 | 127 | 115 | 57 |
Water consumption per tonne of yarn (percentage change compared to 2017) | % | -8% | 56 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Annual consumption of electricity in production decreased | % | 2 | 22 |
Annual consumption of steam in production decreased | % | 13 | 22 |
Annual reduction in power costs from replacing coal-fired steam boilers with natural gas steam boilers in Zhejiang Jinyuan | RMB | 312000 | 48 |
Costs of energy reduction | RMB'0000 | 233 | 64 |
Electricity consumption per tonne of yarn (percentage change compared to 2017) | % | -2% | 56 |
Reduction in electricity consumption per tonne of yarn manufactured | % | 2 | 9 |
Steam consumption per tonne of yarn (percentage change compared to 2017) | % | -13% | 56 |
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 | 2018 | Report Pages |
---|---|---|---|
Annual consumption of water in production decreased | % | 8 | 22 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Environmental protection project expenditure | million RMB | 26.65 | 22 |
Other environmental costs | RMB'0000 | 360 | 64 |
Total environmental investment | RMB'0000 | 2665 | 64 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|
Free consultation with traditional Chinese medical doctors hired by the Company, female participants | persons | 658 | 70 | ||
Free consultation with traditional Chinese medical doctors hired by the Company, male participants | persons | 323 | 70 | ||
Free consultation with traditional Chinese medical doctors hired by the Company, total participants | persons | 981 | 70 | ||
Headcount %, Heilongjiang Jinda, Female | 8% | 74 | |||
Headcount %, Heilongjiang Jinda, Male | 8% | 74 | |||
Headcount %, Jiangsu Jinyuan, Female | 20% | 74 | |||
Headcount %, Jiangsu Jinyuan, Male | 10% | 74 | |||
Headcount %, Other locations (Hong Kong and Italy), Female | 0% | 74 | |||
Headcount %, Other locations (Hong Kong and Italy), Male | 0% | 74 | |||
Headcount %, Total | 100% | 74 | |||
Headcount %, Zhejiang Jinda, Female | 10% | 74 | |||
Headcount %, Zhejiang Jinda, Male | 5% | 74 | |||
Headcount %, Zhejiang Jinyuan, Female | 24% | 74 | |||
Headcount %, Zhejiang Jinyuan, Male | 15% | 74 | |||
Headcount, Heilongjiang Jinda, Female | employees | 229 | 74 | ||
Headcount, Heilongjiang Jinda, Male | employees | 247 | 74 | ||
Headcount, Jiangsu Jinyuan, Female | employees | 603 | 74 | ||
Headcount, Jiangsu Jinyuan, Male | employees | 317 | 74 | ||
Headcount, Other locations (Hong Kong and Italy), Female | employees | 3 | 74 | ||
Headcount, Other locations (Hong Kong and Italy), Male | employees | 2 | 74 | ||
Headcount, Total | employees | 3023 | 74 | ||
Headcount, Zhejiang Jinda, Female | employees | 306 | 74 | ||
Headcount, Zhejiang Jinda, Male | employees | 153 | 74 | ||
Headcount, Zhejiang Jinyuan, Female | employees | 714 | 74 | ||
Headcount, Zhejiang Jinyuan, Male | employees | 449 | 74 | ||
Number of employees who have returned to work after maternity leave | 11 | 11 | 7 | 71 | |
Number of maternity leave applicants | 12 | 13 | 8 | 71 | |
Percentage of female staff | % | 61 | 68 | ||
Percentage of male staff | % | 39 | 68 | ||
Percentage of staff aged 30 or below | % | 18 | 68 | ||
Percentage of staff aged 31-50 | % | 59 | 68 | ||
Percentage of staff aged above 50 | % | 23 | 68 | ||
Total number of employees | employees | 3000 | 68 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|
Number of employees who should return to work after maternity leave | 11 | 11 | 7 | 71 | ||
Return rate of employees after maternity leave (%) | % | 100% | 100% | 100% | 71 | |
Staff Turnover - Entry rate | % | 18.3% | 12.3% | 29.4% | 41.99% | 76 |
Staff Turnover - Exit rate | % | 16.0% | 16.0% | 21.6% | 30.93% | 76 |
Turnover | billion RMB | 1.2 | 22 | |||
average employee entry ratio of Kingdom | % | 42 | 75 | |||
employee exit ratio of Kingdom | % | 31 | 75 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Accidents inside the production bases - Jiangsu Jinyuan Female | cases | 6 | 77 |
Accidents inside the production bases - Jiangsu Jinyuan Male | cases | 4 | 77 |
Accidents inside the production bases - Total | cases | 17 | 77 |
Accidents inside the production bases - Zhejiang Jinda Female | cases | 2 | 77 |
Accidents inside the production bases - Zhejiang Jinyuan Female | cases | 1 | 77 |
Accidents inside the production bases - Zhejiang Jinyuan Male | cases | 4 | 77 |
Number of traffic accidents outside the production bases - Jiangsu Jinyuan Female | cases | 3 | 77 |
Number of traffic accidents outside the production bases - Jiangsu Jinyuan Male | cases | 1 | 77 |
Number of traffic accidents outside the production bases - Total | cases | 5 | 77 |
Number of traffic accidents outside the production bases - Zhejiang Jinyuan Female | cases | 1 | 77 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Occupational disease health assessment, female participants | persons | 280 | 70 |
Occupational disease health assessment, male participants | persons | 120 | 70 |
Occupational disease health assessment, total participants | persons | 400 | 70 |
Pre-employment health assessment, female participants | persons | 1001 | 70 |
Pre-employment health assessment, male participants | persons | 539 | 70 |
Pre-employment health assessment, total participants | persons | 1540 | 70 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Employees received training %, Management | 6% | 74 | |
Employees received training %, Non-management | 94% | 74 | |
Number of employees who received training, Management | employees | 183 | 74 |
Number of employees who received training, Non-management | employees | 2840 | 74 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Average training hours of each staff, Heilongjiang Jinda, Female | hours | 13 | 74 |
Average training hours of each staff, Heilongjiang Jinda, Male | hours | 13 | 74 |
Average training hours of each staff, Jiangsu Jinyuan, Female | hours | 10 | 74 |
Average training hours of each staff, Jiangsu Jinyuan, Male | hours | 10 | 74 |
Average training hours of each staff, Management | hours | 26 | 74 |
Average training hours of each staff, Non-management | hours | 11 | 74 |
Average training hours of each staff, Other locations (Hong Kong and Italy), Female | hours | 10 | 74 |
Average training hours of each staff, Other locations (Hong Kong and Italy), Male | hours | 15 | 74 |
Average training hours of each staff, Total | hours | 11 | 74 |
Average training hours of each staff, Zhejiang Jinda, Female | hours | 13 | 74 |
Average training hours of each staff, Zhejiang Jinda, Male | hours | 13 | 74 |
Average training hours of each staff, Zhejiang Jinyuan, Female | hours | 12 | 74 |
Average training hours of each staff, Zhejiang Jinyuan, Male | hours | 12 | 74 |
Total study time for middle-level and frontline employees attending training courses by Jiaxing Lean Research Institute | days | 200 | 23 |
Total training hours, Heilongjiang Jinda, Female | hours | 2977 | 74 |
Total training hours, Heilongjiang Jinda, Male | hours | 3211 | 74 |
Total training hours, Jiangsu Jinyuan, Female | hours | 6033 | 74 |
Total training hours, Jiangsu Jinyuan, Male | hours | 3168 | 74 |
Total training hours, Management | hours | 4736 | 74 |
Total training hours, Non-management | hours | 29901 | 74 |
Total training hours, Other locations (Hong Kong and Italy), Female | hours | 29 | 74 |
Total training hours, Other locations (Hong Kong and Italy), Male | hours | 30 | 74 |
Total training hours, Total | hours | 34637 | 74 |
Total training hours, Zhejiang Jinda, Female | hours | 3825 | 74 |
Total training hours, Zhejiang Jinda, Male | hours | 1989 | 74 |
Total training hours, Zhejiang Jinyuan, Female | hours | 8211 | 74 |
Total training hours, Zhejiang Jinyuan, Male | hours | 5164 | 74 |
Training fee for management personnel and key technical personnel | million RMB | 1.16 | 74 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Annual linen yarn production | tonnes | 18512 | 62 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Overall customer satisfactory rate | out of 5 | 4.6 | 22 | ||||
Satisfaction Value (SV) of Key Customers | 4.1 | 4.4 | 4.45 | 4.43 | 4.6 | 42 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Number of invention and other patents owned | 64 | 22 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Lecture on AIDS prevention, female participants | persons | 37 | 70 |
Lecture on AIDS prevention, male participants | persons | 23 | 70 |
Lecture on AIDS prevention, total participants | persons | 60 | 70 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Financial assistance to burned worker (Zhejiang Jinyuan) | RMB | 29000 | 81 |
Financial assistance to family members of burned worker (Zhejiang Jinyuan) | RMB | 2000 | 81 |
Government grant received | million RMB | 2.5 | 22 |
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 | 2016 | 2017 | 2018 |
---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tonnes CO2 equivalent | 8485 | 5298 | 4849 |
Indirect Energy Emissions (Scope 2) | tonnes CO2 equivalent | 94461 | 92309 | 106599 |
Total GHG Emissions | tonnes CO2 equivalent | 102946 | 97607 | 111448 |
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 |
---|---|---|---|---|
Total Hazardous Waste Intensity (By Product Weight) | kg | 97 | 187 | 193 |
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 |
---|---|---|---|---|
Non-Hazardous Waste Disposed | tonnes | 1556 | 2875 | 3573 |
Description of emissions target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2018 |
---|---|---|
Reduction in GHG Intensity Compared to Last Year (By Product Weight) | % | 5 |
Reduction in GHG Intensity Compared to Last Year (By Unit Product) | % | 5 |
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 |
---|---|---|---|---|
Electricity Consumption | kWh | 95800000 | 94680000 | 109530000 |
Electricity Consumption Intensity (By Unit Product) | kWh/tonne | 5952 | 6158 | 5917 |
Natural Gas Consumption | cubic metres | 902959 | 2710646 | 2479962 |
Percentage of Renewable Energy Consumption | % | 3.5 | ||
Steam Consumption | tonnes | 48528 | 76790 | 81420 |
Steam Consumption Intensity (By Unit Product) | tonnes | 3.01 | 4.9945 | 4.3982 |
Total Annual Natural Gas Consumption | cubic metres | 902959 | 2710646 | 2479962 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2016 | 2017 | 2018 |
---|---|---|---|---|
Total Wastewater Discharge | tonnes | 148300 | 158400 | 187700 |
Total Water Withdrawal | tonnes | 1730000 | 1960000 | 2136000 |
Water Consumption | tonnes | 1730000 | 1960000 | 2136000 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2018 |
---|---|---|
Electricity Usage Reduction Percentage Compared to Last Year | % | 2 |
Investment in Energy-saving and Emission-reduction Technology Transformation | RMB | 2330000 |
Steam Usage Reduction Percentage Compared to Last Year | % | 13 |
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 | 2018 |
---|---|---|
Water Consumption Reduction Percentage Compared to Last Year | % | 8 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2018 |
---|---|---|
Total Investment in Ecological Restoration | RMB'0000 | 2665 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 |
---|---|---|
Number of Employees Aged 30-50 | employees | 1770 |
Number of Employees Aged Above 50 | employees | 690 |
Number of Employees Aged Below 30 | employees | 540 |
Number of Female Employees | employees | 1809 |
Number of Male Employees | employees | 1191 |
Number of New Employees | employees | 1203 |
Number of Total Employees | employees | 3000 |
Percentage of Employees Aged 30-50 | % | 59 |
Percentage of Employees Aged Above 50 | % | 23 |
Percentage of Employees Aged Below 30 | % | 18 |
Percentage of Female Employees | % | 61 |
Percentage of Male Employees | % | 39 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|
Turnover Rate of Total Employees | % | 16 | 16 | 21.6 | 30.93 |
Lost days due to work injury.
Standard Indicator | Unit |
---|---|
Lost Days Due to Work-related Injuries | days |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
Standard Indicator | Unit | 2018 |
---|---|---|
Health Check Coverage for Employees | persons | 400 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2018 |
---|---|---|
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 | 2018 |
---|---|---|
Average Training Hours (Female) | hours | 13 |
Average Training Hours (General Employees) | hours | 11 |
Average Training Hours (General Staff) | hours | 11 |
Average Training Hours (Male) | hours | 13 |
Average Training Hours (Senior Management) | hours | 26 |
Average Training Hours per Employee | hours | 11 |
Total Training Hours | hours | 34637 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2018 |
---|---|---|
Annual linen yarn production | tonnes | 18512 |
Number of Total 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 |
---|---|
Number of Suppliers Participating in ESG Training |
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 |
---|---|
Number of Products and Service Related Complaints |
Description of practices relating to observing and protecting intellectual property rights.
Standard Indicator | Unit | 2018 |
---|---|---|
Number of Patents Held | 64 |
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 Concluded Corruption Lawsuits |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Standard Indicator | Unit |
---|---|
Percentage of Employees Anti-corruption Policies have been Communicated to | % |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 |
---|---|---|
Total Public Welfare Donations | RMB | 31000 |
Total Social Investment | RMB | 31000 |