Company Profile
CABBEEN
2030
Apparel Manufacturing
Description
Cabbeen Fashion Limited, a fashion casual menswear company, designs and sells apparel, shoes, and accessories for men, women, and kids under the Cabbeen, Cabbeen Urban, and 2AM brands in the People's Republic of China. It also operates online shops on e-commerce platforms, including T-mall, JD.com, WeChat mall, and VIP.com; and sells products to other online distributors. The company is also involved in the wholesale and online sale of apparel; real estate development; property holding; and trademark holding activities. Cabbeen Fashion Limited was incorporated in 2011 and is based in Guangzhou City, China.
Reports
This company has 8 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
5 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Scope 1 GHG Emissions Intensity (By Product Volume) | 1 | |
| Scope 2 GHG Emissions Intensity (By Product Volume) | 1 | |
| Scope 3 GHG Emissions Intensity (By Product Volume) | 1 | |
| Total GHG Emissions | 2 |
A1.3 Hazardous Waste
8 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Total Hazardous Waste Intensity (By Revenue) | 2 | |
| Total Hazardous Waste | 6 |
A1.4 Non-Hazardous Waste
15 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Non-Hazardous Waste Disposed | 9 | |
| Total Non-Hazardous Waste Intensity (By Revenue) | 6 |
A1.6 Hazardous and Non-Hazardous Waste Targets
4 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | 1 | |
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | 2 | |
| Target Hazardous Waste Intensity Reduction Percentage Compared to Last Year | 1 |
A2.1 Energy Consumption
40 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Purchased Electricity Intensity (By Revenue) | 15 | |
| Energy Consumption Intensity (By Revenue) | 2 | |
| Total Energy Consumption | 2 | |
| Total Direct Energy Consumption | 2 | |
| Total Indirect Energy Consumption | 2 | |
| Purchased Electricity | 17 |
A2.2 Water Consumption
32 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Water Consumption | 15 | |
| Water Consumption Intensity (By Revenue) | 17 |
A2.3 Energy Use Efficiency Targets
1 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Target Energy Consumption Reduction Percentage Compared to Last Year | 1 |
A2.4 Water Efficiency Targets
1 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Target Water Consumption Reduction Percentage Compared to Last Year | 1 |
A2.5 Total Packaging Material Used
14 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Packaging Materials Consumed | 12 | |
| Packaging Material Intensity (By Revenue) | 2 |
B1.1 Amount and Distribution of Workforce
151 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Total Employees | 11 | |
| Number of Male Employees | 8 | |
| Number of Female Employees | 8 | |
| Percentage of Male Employees | 6 | |
| Percentage of Female Employees | 6 | |
| Number of Full-time Employees | 8 | |
| Number of Part-time Employees | 8 | |
| Percentage of Full-time Employees | 6 | |
| Percentage of Part-time Employees | 6 | |
| Number of Employees Aged Below 30 | 8 | |
| Number of Employees Aged 30-50 | 8 | |
| Number of Employees Aged Above 50 | 8 | |
| 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 | 8 | |
| Number of Employees in Mainland China | 8 | |
| Number of Employees in Hong Kong and Mainland China | 8 | |
| Percentage of Employees in Hong Kong | 6 | |
| Percentage of Employees in Mainland China | 6 | |
| Percentage of Employees in Hong Kong and Mainland China | 6 |
B1.2 Employee Turnover Rate
56 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Turnover Rate of Female Employees | 8 | |
| Turnover Rate of Male Employees | 8 | |
| Turnover Rate of Employees Aged Below 30 | 8 | |
| Turnover Rate of Employees Aged 30-50 | 8 | |
| Turnover Rate of Employees Aged Above 50 | 8 | |
| Turnover Rate of Employees in Hong Kong | 8 | |
| Turnover Rate of Employees in Mainland China | 8 |
B2.1 Number and Rate of Work-related Fatalities
9 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Work-related Fatalities | 6 | |
| Number of Fatalities as a Result of Work-related Injuries | 3 |
B2.2 Lost Days Due to Work Injury
3 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Lost Days Due to Work-related Injuries | 3 |
B3.1 The Percentage of Employees Trained
32 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Percentage of Employees Trained | 6 | |
| Percentage of Trained Male Employees | 8 | |
| Percentage of Trained Female Employees | 8 | |
| Percentage of Trained Senior Management | 4 | |
| Percentage of Trained Middle Management | 4 | |
| Percentage of Trained General Employees | 2 |
B3.2 Average Training Hours Completed per Employee
36 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Average Training Hours (Male) | 8 | |
| Average Training Hours (Female) | 8 | |
| Average Training Hours (Senior Management) | 8 | |
| Average Training Hours (Middle Management) | 8 | |
| Average Training Hours (General Staff) | 2 | |
| Average Training Hours (General Employees) | 2 |
B4.1 Avoid Child and Forced Labour
3 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Violation Cases Related to Child Labour or Forced Labour | 3 |
B7.1 Confirmed Incidents of Corruption
1 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Confirmed Incidents of Corruption | 1 |
B8.2 Resources Contributed to the Community
9 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Total Social Investment | 3 | |
| Total Public Welfare Donations | 3 | |
| Total Cash Donations | 3 |
ESG Reports
| Year | Report Title | Publication Date | Raw KPIs | Standard KPIs | Processed | Actions |
|---|---|---|---|---|---|---|
| 2024 | 2024 Environmental, Social and Governance Report | 2025-03-24 | 104 | 121 | Yes | |
| 2023 | 2023 Environmental, Social and Governance Report | 2024-03-18 | 66 | 88 | Yes | |
| 2021 | Environmental, Social and Governance Report 2021 | 2022-05-16 | 75 | 89 | Yes | |
| 2020 | Environmental, Social and Governance Report 2020 | 2021-05-10 | 69 | 66 | Yes | |
| 2019 | Environmental, Social and Governance Report 2019 | 2020-05-29 | 17 | 19 | Yes | |
| 2018 | Environmental, Social and Governance Report 2018 | 2019-05-14 | 23 | 22 | Yes | |
| 2017 | Environmental, Social and Governance Report 2017 | 2018-05-11 | 31 | 28 | Yes | |
| 2016 | Environmental, Social and Governance Report 2016 | 2017-05-29 | 8 | 5 | Yes |