Company Profile

HIGH FASHION

608 Apparel Manufacturing
Description

High Fashion International Limited, an investment holding company, manufactures and trades in garments in China, the United States, Europe, and internationally. It operates in Manufacturing and Trading of Garments, and Property Investment and Development segments. The company manufactures yarns, fabrics, and finished products. It is also involved in the holding of trademarks; manufacturing, trading, and retailing of garments; property management and leasing; dyeing, printing, and sand washing of fabrics; provision of marketing, management, and investment services; and provision of silk weaving and silk culture tourism development services, as well as engages in the culture development activities. High Fashion International Limited was founded in 1978 and is headquartered in Kwai Chung, Hong Kong.

Reports

This company has 9 ESG reports available.

ESG Performance Overview

Select a KPI indicator to view performance trend

KPI Indicators

A1.1 Emission Types and Data
18 Data Points
Indicator Data Points Actions
SOₓ Emissions 6
NOₓ Emissions 6
Airborne Particulate Matter (PM) Emissions 6
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
361 Data Points
Indicator Data Points Actions
Total GHG Emissions Intensity (By Product Volume) 13
Total GHG Emissions Intensity (By Unit Product) 3
Scope 3 GHG Emissions (Waste Generated in Operations) 5
Total GHG Emissions 39
Direct GHG Emissions (Scope 1) 38
Mobile Combustion Emissions 43
Stationary Combustion Emissions 43
HFC Emissions 43
Indirect Energy Emissions (Scope 2) 38
GHG Emissions from Purchased Electricity 34
GHG Emissions from Towngas 37
Total Other Indirect Energy Emissions (Scope 3) 25
A1.3 Hazardous Waste
16 Data Points
Indicator Data Points Actions
Total Hazardous Waste Intensity (By Unit Product) 5
Total Hazardous Waste 11
A1.4 Non-Hazardous Waste
18 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Disposed 9
Recycling Rate of Non-Hazardous Waste 1
Total Non-Hazardous Waste Intensity (By Unit Product) 8
A1.5 Emission Targets
3 Data Points
Indicator Data Points Actions
GHG Emissions Reduction Compared to Last Year 1
CO2 Emissions Reduction Compared to Last Year 1
GHG Emissions Reduction Percentage Compared to Last Year 1

A2.1 Energy Consumption
70 Data Points
Indicator Data Points Actions
Purchased Electricity Intensity (By Unit Product) 6
Energy Consumption Intensity (By Unit Product) 2
Direct Energy Intensity (By Unit Product) 7
Total Energy Consumption 2
Gasoline Consumption 10
Diesel Fuel Consumption 10
Natural Gas Consumption 10
LPG Consumption 4
Solar Energy 3
Biomass Energy 1
Total Indirect Energy Consumption 5
Purchased Electricity 6
Purchased Steam 4
A2.1: Energy Consumption
2 Data Points
Indicator Data Points Actions
Percentage of Renewable Energy Consumption 2
A2.2 Water Consumption
79 Data Points
Indicator Data Points Actions
Total Water Withdrawal 8
Total Wastewater Discharge 5
Discharge of Industrial Wastewater 20
Water Consumption 14
Municipal Water Consumption 5
Recycled Water Usage 5
Water Consumption Intensity (By Revenue) 8
Water Withdrawal Intensity 14
A2.3 Energy Use Efficiency Targets
6 Data Points
Indicator Data Points Actions
Energy Consumption Reduction Compared to Last Year 2
Electricity Usage Reduction Compared to Last Year 2
Energy Consumption Reduction Percentage Compared to Last Year 2
A2.4 Water Efficiency Targets
2 Data Points
Indicator Data Points Actions
Water Consumption Reduction Compared to Last Year 2
A2.5 Total Packaging Material Used
13 Data Points
Indicator Data Points Actions
Packaging Materials Consumed 3
Packaging Material Intensity (By Unit Product) 3
Packaging Material Consumption (Paper) 7

B1.1 Amount and Distribution of Workforce
137 Data Points
Indicator Data Points Actions
Number of Total Employees 9
Number of Male Employees 6
Number of Female Employees 6
Percentage of Male Employees 9
Percentage of Female Employees 9
Number of Full-time Employees 5
Number of Part-time Employees 4
Percentage of Full-time Employees 5
Percentage of Part-time Employees 3
Number of Employees Aged Below 30 6
Number of Employees Aged 30-50 6
Number of Employees Aged Above 50 6
Percentage of Employees Aged Below 30 7
Percentage of Employees Aged 30-50 7
Percentage of Employees Aged Above 50 7
Number of Employees in Hong Kong 8
Number of Employees in Mainland China 8
Number of Employees in Hong Kong and Mainland China 3
Number of Employees in Overseas 5
Percentage of Employees in Hong Kong 6
Percentage of Employees in Mainland China 6
Percentage of Employees in Hong Kong and Mainland China 3
Percentage of Employees in Overseas 3
B1.2 Employee Turnover Rate
30 Data Points
Indicator Data Points Actions
Turnover Rate of Female Employees 4
Turnover Rate of Male Employees 4
Turnover Rate of Employees Aged Below 30 4
Turnover Rate of Employees Aged 30-50 4
Turnover Rate of Employees Aged Above 50 4
Turnover Rate of Employees in Hong Kong 3
Turnover Rate of Employees in Mainland China 3
Turnover Rate of Total Employees 4

B2.1 Number and Rate of Work-related Fatalities
25 Data Points
Indicator Data Points Actions
Number of Work-related Fatalities 12
Work-related Fatalities Rate 7
Number of Fatalities as a Result of Work-related Injuries 2
Number of Fatalities of the Last 3 Years 4
B2.2 Lost Days Due to Work Injury
6 Data Points
Indicator Data Points Actions
Rate of Work-related Injuries 1
Lost Days Due to Work-related Injuries 5

B3.1 The Percentage of Employees Trained
40 Data Points
Indicator Data Points Actions
Percentage of Trained Male Employees 8
Percentage of Trained Female Employees 8
Percentage of Trained Senior Management 4
Percentage of Trained Administrative Employees 8
Percentage of Trained Production Employees 8
Percentage of Trained Contract Employees 4
B3.2 Average Training Hours Completed per Employee
45 Data Points
Indicator Data Points Actions
Average Training Hours (Administrative Employees) 8
Total Training Hours 6
Average Training Hours per Employee 3
Average Training Hours (Male) 6
Average Training Hours (Female) 6
Average Training Hours (Senior Management) 1
Average Training Hours (General Employees) 1
Average Training Hours (Production Employees) 7
Average Training Hours (Executive Employees) 5
Average Training Hours (Contract Employees) 2

B5.1 Number of Suppliers by Geographical Region
8 Data Points
Indicator Data Points Actions
Number of Total Suppliers 4
Number of Suppliers in Mainland China 4

B6.1 Products Recalled
3 Data Points
Indicator Data Points Actions
Percentage of Recalled Products for Safety and Health Reasons 3
B6.3 Protection on Intellectual Property Rights
9 Data Points
Indicator Data Points Actions
Number of Intellectual Property Rights Obtained by the Company 3
Number of Invention Patents 3
Number of Authorised Utility Model Patents 3

B7.1 Confirmed Incidents of Corruption
1 Data Points
Indicator Data Points Actions
Number of Confirmed Incidents of Corruption 1
B7.3 Anti-corruption Training
2 Data Points
Indicator Data Points Actions
Total Hours of Anti-corruption Training 1
Anti-corruption Training Coverage among Directors and Management 1

B8.2 Resources Contributed to the Community
18 Data Points
Indicator Data Points Actions
Total Social Investment 5
Total Public Welfare Donations 5
Total Cash Donations 3
Total Volunteer Service Hours 5

General
8 Data Points
Indicator Data Points Actions
Percentage of Trained Management 2
Town gas intensity 2
Percentage of Trained Management Employees 1
Reduction of Non-Hazardous Waste Production (vs 2019) 1
Town gas consumption 2

ESG Reports