Company Profile
E-STAR CM
Description
E-Star Commercial Management Company Limited, an investment holding company, provides commercial property operational services to owners or tenants in respect of commercial properties in the People's Republic of China. It operates through three segments: Entrusted Management Service Model; Brand and Management Output Service Model; and Sublease Service Model. The company offers positioning, construction consultancy, and tenant sourcing services, which primarily include market positioning, business planning consultancy, design and construction consultancy, and tenant sourcing; and operational management services principally comprising formulating operation strategies, conducting marketing and promotional events, tenant and property management, and rent collection. It also provides property leasing services, such as sublease of commercial spaces in the commercial properties managed under the sublease service model to tenants; and value-added services primarily consisting of management of common areas in the shopping centers, which customers could rent for a short period for pop-up shops and promotional settings, and management of advertising spaces, such as LED boards and interior and exterior facades of the shopping centers, as well as leases commercial spaces to tenants. The company offers commercial property operational services under the COCO Park, COCO City, COCO Garden, iCO, and Top Living brands. It serves shopping centers, and streets and commercial complexes. The company offers operation services to commercial property projects located in 21 cities. The company was founded in 2004 and is based in Shenzhen, the People's Republic of China. E-Star Commercial Management Company Limited operates as a subsidiary of Go Star Investment Holding Limited.
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
36 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 |
A1.4 Non-Hazardous Waste
16 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Paper Waste | 7 | |
| Non-Hazardous Waste (Kitchen Waste) | 2 | |
| Total Non-Hazardous Waste Intensity (By Revenue) | 7 |
A1.6 Hazardous and Non-Hazardous Waste Targets
1 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Hazardous Waste Intensity Reduction Percentage Compared to Last Year | 1 |
A2.1 Energy Consumption
77 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Energy Consumption Intensity (By Revenue) | 9 | |
| Total Energy Consumption | 9 | |
| Total Direct Energy Consumption | 9 | |
| Total Non-Renewable Fuel Consumption | 3 | |
| Gasoline Consumption | 9 | |
| Diesel Fuel Consumption | 9 | |
| Natural Gas Consumption | 9 | |
| Fossil Fuel Consumption | 2 | |
| Total Indirect Energy Consumption | 9 | |
| Purchased Electricity | 9 |
A2.2 Water Consumption
18 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Water Consumption | 9 | |
| Water Consumption Intensity (By Revenue) | 9 |
B1.1 Amount and Distribution of Workforce
115 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Total Employees | 7 | |
| 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 | 4 | |
| Percentage of Full-time Employees | 1 | |
| 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 | 4 | |
| Percentage of Employees Aged 30-50 | 4 | |
| Percentage of Employees Aged Above 50 | 4 | |
| Number of Employees in Hong Kong | 1 | |
| Number of Employees in Mainland China | 1 | |
| Number of Employees in Hong Kong and Mainland China | 1 | |
| Number of Senior Management Employees | 8 | |
| Number of Middle Management Employees | 8 | |
| Number of Junior Management Employees | 1 | |
| Number of General Employees | 7 | |
| Percentage of Senior Management Employees | 4 | |
| Percentage of Middle Management Employees | 4 | |
| Percentage of Junior Management Employees | 1 | |
| Percentage of General Employees | 3 |
B1.2 Employee Turnover Rate
42 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Turnover Rate of Female Employees | 6 | |
| Turnover Rate of Male Employees | 6 | |
| Turnover Rate of Employees Aged Below 30 | 6 | |
| Turnover Rate of Employees Aged 30-50 | 6 | |
| Turnover Rate of Employees Aged Above 50 | 4 | |
| Turnover Rate of Employees in Hong Kong | 5 | |
| Turnover Rate of Employees in Mainland China | 6 | |
| Turnover Rate of Total Employees | 3 |
B2.1 Number and Rate of Work-related Fatalities
8 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Work-related Fatalities | 4 | |
| Number of Fatalities as a Result of Work-related Injuries | 4 |
B3.1 The Percentage of Employees Trained
38 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Percentage of Employees Trained | 5 | |
| Percentage of Trained Male Employees | 7 | |
| Percentage of Trained Female Employees | 7 | |
| Percentage of Trained Senior Management | 7 | |
| Percentage of Trained Middle Management | 7 | |
| Percentage of Trained General Employees | 5 |
B3.2 Average Training Hours Completed per Employee
33 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Average Training Hours (Male) | 7 | |
| Average Training Hours (Female) | 7 | |
| Average Training Hours (Senior Management) | 7 | |
| Average Training Hours (Middle Management) | 7 | |
| Average Training Hours (General Staff) | 5 |
B4.1 Avoid Child and Forced Labour
1 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Violation Cases Related to Child Labour or Forced Labour | 1 |
B6.2 Products Complaints
1 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Products and Service Related Complaints | 1 |
B7.1 Confirmed Incidents of Corruption
2 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of Confirmed Incidents of Corruption | 2 |
B7.3 Anti-corruption Training
3 Data Points| Indicator | Data Points | Actions |
|---|---|---|
| Number of People Participated in Ethical Standards and Anti-corruption Training | 1 | |
| Coverage Rate of Ethical Standards and Anti-Corruption Training | 1 | |
| Total Hours of Anti-corruption Training | 1 |
ESG Reports
| Year | Report Title | Publication Date | Raw KPIs | Standard KPIs | Processed | Actions |
|---|---|---|---|---|---|---|
| 2024 | 2024 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT | 2025-04-28 | 128 | 88 | Yes | |
| 2023 | 2023 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT | 2024-04-29 | 135 | 105 | Yes | |
| 2022 | 2022 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT | 2023-04-28 | 146 | 108 | Yes | |
| 2021 | 2021 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT | 2022-05-25 | 111 | 74 | Yes | |
| 2020 | 2020 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT | 2021-07-23 | 72 | 43 | Yes |