Company Profile
SCE CM
Description
SCE Intelligent Commercial Management Holdings Limited provides property management services for commercial and residential properties in the People's Republic of China. It operates through two segments: commercial property management and operational services, and residential property management services. The company's portfolio of commercial properties includes shopping malls and office buildings. It also provides property management services comprising cleaning, security, landscaping, repair and maintenance, tenant assistance, marketing, and promotion services for property developers, property owners, and tenants; pre-opening management services, such as market research and positioning, preliminary consultation and planning, architectural design consultation, tenant acquisition, and opening preparation services for property developers; and value-added services include tenant management, parking lot management, rental collection, and advertising space and other common area management services. In addition, the company offers pre-sale management services, pre-sale display units and sales offices, pre-delivery inspection services, and car park sales services for non-property owners; community value-added services, including housekeeping and cleaning services, residential property agency services, exquisite residence services, car park management, and clubhouse operation. Further, it has commercial and residential contracted projects under management with aggregate gross floor area. The company was formerly known as China SCE Commercial Holdings Limited and changed its name to SCE Intelligent Commercial Management Holdings Limited in November 2020. SCE Intelligent Commercial Management Holdings Limited was founded in 2003 and is headquartered in Shanghai, China.
Reports
This company has 4 ESG reports available.
ESG Performance Overview
Select a KPI indicator to view performance trend
KPI Indicators
A1.1 Emission Types and Data
21 Data PointsIndicator | Data Points | Actions |
---|---|---|
SOₓ Emissions | 7 | |
NOₓ Emissions | 7 | |
Airborne Particulate Matter (PM) Emissions | 7 |
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
28 Data PointsIndicator | Data Points | Actions |
---|---|---|
Total GHG Emissions Intensity (By Area) | 7 | |
Total GHG Emissions | 7 | |
Direct GHG Emissions (Scope 1) | 7 | |
Indirect Energy Emissions (Scope 2) | 7 |
A1.3 Hazardous Waste
17 Data PointsIndicator | Data Points | Actions |
---|---|---|
Hazardous Waste (Office) | 5 | |
Total Hazardous Waste Intensity (By Area) | 6 | |
Total Hazardous Waste | 6 |
A1.4 Non-Hazardous Waste
11 Data PointsIndicator | Data Points | Actions |
---|---|---|
Non-Hazardous Waste (Office Waste) | 2 | |
Total Non-Hazardous Waste Intensity (By Area) | 9 |
A2.1 Energy Consumption
44 Data PointsIndicator | Data Points | Actions |
---|---|---|
Energy Consumption Intensity (By Area) | 6 | |
Total Energy Consumption | 6 | |
Gasoline Consumption | 6 | |
Diesel Fuel Consumption | 5 | |
Natural Gas Consumption | 6 | |
LPG Consumption | 3 | |
Purchased Electricity | 6 | |
Purchased Heating | 6 |
A2.2 Water Consumption
12 Data PointsIndicator | Data Points | Actions |
---|---|---|
Water Consumption | 6 | |
Water Consumption in Office | 6 |
B1.1 Amount and Distribution of Workforce
89 Data PointsIndicator | 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 Employees Aged Below 30 | 7 | |
Number of Employees Aged 30-50 | 7 | |
Number of Employees Aged Above 50 | 7 | |
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 | 2 | |
Number of Employees in Mainland China | 2 | |
Number of Employees in Hong Kong and Mainland China | 2 | |
Percentage of Employees in Hong Kong | 2 | |
Percentage of Employees in Mainland China | 2 | |
Percentage of Employees in Hong Kong and Mainland China | 2 |
B1.2 Employee Turnover Rate
45 Data PointsIndicator | Data Points | Actions |
---|---|---|
Turnover Rate of Female Employees | 7 | |
Turnover Rate of Male Employees | 7 | |
Turnover Rate of Employees Aged Below 30 | 7 | |
Turnover Rate of Employees Aged 30-50 | 7 | |
Turnover Rate of Employees Aged Above 50 | 7 | |
Turnover Rate of Employees in Hong Kong | 1 | |
Turnover Rate of Employees in Mainland China | 2 | |
Turnover Rate of Total Employees | 7 |
B2.2 Lost Days Due to Work Injury
5 Data PointsIndicator | Data Points | Actions |
---|---|---|
Lost Days Due to Work-related Injuries | 5 |
B3.1 The Percentage of Employees Trained
42 Data PointsIndicator | Data Points | Actions |
---|---|---|
Percentage of Employees Trained | 7 | |
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 | 7 |
B3.2 Average Training Hours Completed per Employee
42 Data PointsIndicator | Data Points | Actions |
---|---|---|
Average Training Hours per Employee | 7 | |
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) | 7 |
B5.1 Number of Suppliers by Geographical Region
7 Data PointsIndicator | Data Points | Actions |
---|---|---|
Number of Total Suppliers | 7 |
ESG Reports
Year | Report Title | Publication Date | Raw KPIs | Standard KPIs | Processed | Actions |
---|---|---|---|---|---|---|
2024 | ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2024 | 2025-04-22 | 433 | 119 | Yes | |
2023 | ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2023 | 2024-04-19 | 377 | 102 | Yes | |
2022 | ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2022 | 2023-04-06 | 311 | 92 | Yes | |
2021 | ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT 2021 | 2022-05-27 | 260 | 50 | Yes |