Company Profile

EMPEROR INT'L

163 Real Estate Services
Description

Emperor International Holdings Limited, an investment holding company, engages in the property investment and development, and hospitality activities in Hong Kong, Macau, the United Kingdom, and the People's Republic of China. It operates through Lease of Properties, Properties Development, and Hotel and Hotel Related Operations segments. The Lease of Properties segment rents properties. The Properties Development segment engages in the development and redevelopment of properties for sale. The Hotel and Hotel Related Operations segment operates the Emperor Hotel, the Unit Morrison Hil, the Unit Happy Valley, the Unit Davis, Grand Emperor Hotel, and Inn Hotel Macau; and mass market halls, VIP rooms, and slot machine halls, as well as provides gaming-related marketing and public relation services. The company's property portfolio includes residential properties, co-working spaces, retail spaces, shopping malls, and industrial and commercial buildings. In addition, the company provides project management, treasury, property agency, management, and catering services. The company was founded in 1990 is headquartered in Wan Chai, Hong Kong. Emperor International Holdings Limited is a subsidiary of Emperor International Group Holdings Limited.

Reports

This company has 7 ESG reports available.

ESG Performance Overview

Select a KPI indicator to view performance trend

KPI Indicators

A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
92 Data Points
Indicator Data Points Actions
Total GHG Emissions Intensity (By Employee) 2
Total GHG Emissions Intensity (By Area) 23
Scope 3 GHG Emissions (Waste Generated in Operations) 2
Total GHG Emissions 19
Direct GHG Emissions (Scope 1) 10
Indirect Energy Emissions (Scope 2) 19
Total Other Indirect Energy Emissions (Scope 3) 17
A1.3 Hazardous Waste
2 Data Points
Indicator Data Points Actions
Total Hazardous Waste 2
A1.4 Non-Hazardous Waste
19 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Recycled 16
Total Non-Hazardous Waste Intensity (By Area) 3

A2.1 Energy Consumption
61 Data Points
Indicator Data Points Actions
Energy Consumption Intensity (By Employee) 2
Energy Consumption Intensity (By Area) 19
Total Energy Consumption 14
Total Direct Energy Consumption 10
Total Indirect Energy Consumption 16
A2.2 Water Consumption
9 Data Points
Indicator Data Points Actions
Water Consumption 8
Water Consumption in Office 1

B1.1 Amount and Distribution of Workforce
84 Data Points
Indicator Data Points Actions
Number of Total Employees 9
Number of Male Employees 1
Number of Female Employees 1
Percentage of Male Employees 9
Percentage of Female Employees 9
Percentage of Employees Aged Below 30 7
Percentage of Employees Aged 30-50 11
Percentage of Employees Aged Above 50 7
Number of Employees in Hong Kong 1
Number of Employees in Mainland China 1
Number of Employees in Macau 1
Percentage of Employees in Hong Kong 9
Percentage of Employees in Mainland China 9
Percentage of Employees in Macau 9
B1.2 Employee Turnover Rate
16 Data Points
Indicator Data Points Actions
Turnover Rate of Female Employees 2
Turnover Rate of Male Employees 2
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
Turnover Rate of Employees in Mainland China 2
Turnover Rate of Employees in Macau 2

B2.1 Number and Rate of Work-related Fatalities
22 Data Points
Indicator Data Points Actions
Number of Work-related Fatalities 11
Work-related Fatalities Rate 9
Number of Fatalities as a Result of Work-related Injuries 2
B2.2 Lost Days Due to Work Injury
2 Data Points
Indicator Data Points Actions
Lost Days Due to Work-related Injuries 2

B3.1 The Percentage of Employees Trained
14 Data Points
Indicator Data Points Actions
Percentage of Employees Trained 2
Percentage of Trained Male Employees 3
Percentage of Trained Female Employees 3
Percentage of Trained Senior Management 3
Percentage of Trained General Employees 3
B3.2 Average Training Hours Completed per Employee
16 Data Points
Indicator Data Points Actions
Total Training Hours 8
Average Training Hours per Employee 8

B6.1 Products Recalled
3 Data Points
Indicator Data Points Actions
Percentage of Recalled Products for Safety and Health Reasons 3