Company Profile

SHUNTEN INTL

932 Packaged Foods
Description

Shunten International (Holdings) Limited, an investment holding company, engages in the development, manufacture, marketing, sale, trade, and distribution of health and beauty supplements and products in Hong Kong and the People's Republic of China. It operates through Health and Beauty Supplements and Products Business; and Property Investment Business segments. The company offers its products under its proprietary brands, including Royal Medic, Legend, MeltyEnz, CleansingEnz, La Gusto, HARUKA, Mr. 75, and Health Proof. It is also involved in the leasing of commercial, residential, and industrial properties; property holding and investment; and license and trademark holding. In addition, it provides original equipment manufacturing, general administrative, and management services. Further, it sells and distributes its products through local retail chain distributors, special designated counters, Hong Kong Brands and Products Expo, and e-commerce online platforms. The company was formerly known as RM Group Holdings Limited and changed its name to Shunten International (Holdings) Limited in February 2018. Shunten International (Holdings) Limited was founded in 2002 and is headquartered in Kwai Chung, Hong Kong.

Reports

This company has 5 ESG reports available.

ESG Performance Overview

Select a KPI indicator to view performance trend

KPI Indicators

A1.1 Emission Types and Data
27 Data Points
Indicator Data Points Actions
SOₓ Emissions 9
NOₓ Emissions 9
Airborne Particulate Matter (PM) Emissions 9
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
45 Data Points
Indicator Data Points Actions
Total GHG Emissions Intensity (By Revenue) 9
Total GHG Emissions 9
Direct GHG Emissions (Scope 1) 9
Indirect Energy Emissions (Scope 2) 9
Total Other Indirect Energy Emissions (Scope 3) 9
A1.3 Hazardous Waste
18 Data Points
Indicator Data Points Actions
Total Hazardous Waste Intensity (By Revenue) 9
Total Hazardous Waste 9
A1.4 Non-Hazardous Waste
15 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Disposed 6
Total Non-Hazardous Waste Intensity (By Revenue) 9

A2.1 Energy Consumption
36 Data Points
Indicator Data Points Actions
Energy Consumption Intensity (By Revenue) 9
Total Energy Consumption 9
Total Direct Energy Consumption 4
Total Indirect Energy Consumption 5
Purchased Electricity 9
A2.2 Water Consumption
14 Data Points
Indicator Data Points Actions
Water Consumption 7
Water Consumption Intensity (By Revenue) 7
A2.5 Total Packaging Material Used
59 Data Points
Indicator Data Points Actions
Packaging Materials Consumed 5
Packaging Material Intensity (By Unit Product) 27
Packaging Material Consumption (Plastic) 9
Packaging Material Consumption (Metal) 9
Packaging Material Consumption (Paper) 9

B1.1 Amount and Distribution of Workforce
124 Data Points
Indicator Data Points Actions
Number of Total Employees 7
Number of Male Employees 7
Number of Female Employees 7
Percentage of Male Employees 7
Percentage of Female Employees 7
Number of Full-time Employees 7
Number of Part-time Employees 7
Percentage of Full-time Employees 7
Percentage of Part-time Employees 7
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 6
Percentage of Employees Aged 30-50 6
Percentage of Employees Aged Above 50 6
Number of Employees in Hong Kong 5
Number of Employees in Mainland China 6
Number of Employees in Hong Kong and Mainland China 2
Percentage of Employees in Hong Kong 4
Percentage of Employees in Mainland China 6
Percentage of Employees in Hong Kong and Mainland China 2
B1.2 Employee Turnover Rate
16 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 2
Turnover Rate of Employees Aged 30-50 2
Turnover Rate of Employees Aged Above 50 2
Turnover Rate of Employees in Hong Kong 2

B2.1 Number and Rate of Work-related Fatalities
1 Data Points
Indicator Data Points Actions
Number of Work-related Fatalities 1
B2.2 Lost Days Due to Work Injury
1 Data Points
Indicator Data Points Actions
Number of Work-related Injuries 1

B3.1 The Percentage of Employees Trained
6 Data Points
Indicator Data Points Actions
Percentage of Trained Male Employees 1
Percentage of Trained Female Employees 1
Percentage of Trained Senior Management 1
Percentage of Trained Middle Management 1
Percentage of Trained General Employees 1
Percentage of Trained Operational Employees 1
B3.2 Average Training Hours Completed per Employee
12 Data Points
Indicator Data Points Actions
Average Training Hours (Male) 3
Average Training Hours (Female) 3
Average Training Hours (Senior Management) 3
Average Training Hours (Middle Management) 3

B6.3 Protection on Intellectual Property Rights
1 Data Points
Indicator Data Points Actions
Incidents of Non-compliance with Intellectual Property Rights 1

B7.1 Confirmed Incidents of Corruption
1 Data Points
Indicator Data Points Actions
Number of Confirmed Incidents of Corruption 1