Company Profile

WHARF REIC

1997 Real Estate Services
Description

Wharf Real Estate Investment Company Limited, an investment holding company, develops, owns, and operates properties and hotels in Hong Kong, Mainland China, and Singapore. It operates through Investment Properties, Development Properties, Hotel, and Investment segments. The company's flagship properties include Harbour City, a commercial space comprising offices, retail shops, serviced apartments, hotels and clubs, and car parking spaces; and Times Square, a retail space that consists of office and car parking spaces. It also owns and operates the Wheelock House and Crawford House commercial properties; The Murray hotel; Plaza Hollywood, a shopping mall with shops, restaurants, and a cinema multiplex; The Star Ferry, which operates two inner harbor ferry services; and Wheelock Place and Scotts Square malls. In addition, the company engages in the leasing and management of retail and office properties, and serviced apartments; property and equity investments; and provision of leasing, finance, treasury, public transport, and management services. Wharf Real Estate Investment Company Limited was founded in 1886 and is headquartered in Kowloon, Hong Kong.

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
39 Data Points
Indicator Data Points Actions
SOₓ Emissions 12
NOₓ Emissions 15
Airborne Particulate Matter (PM) Emissions 12
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
109 Data Points
Indicator Data Points Actions
Total GHG Emissions Intensity (By Employee) 15
Total GHG Emissions Intensity (By Area) 3
Total GHG Emissions Intensity (By Revenue) 18
Total GHG Emissions Intensity (By FTE) 3
Total GHG Emissions 15
Direct GHG Emissions (Scope 1) 24
Indirect Energy Emissions (Scope 2) 24
Total Other Indirect Energy Emissions (Scope 3) 7
A1.3 Hazardous Waste
22 Data Points
Indicator Data Points Actions
Hazardous Waste Disposed 1
Hazardous Waste (Electronic and IT Equipment) 2
Hazardous Electronic Waste 2
Hazardous Waste (Used Batteries) 2
Total Hazardous Waste 15
A1.4 Non-Hazardous Waste
109 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Incineration 11
Non-Hazardous Waste Landfilling 16
Non-Hazardous Waste Recycled 17
Non-Hazardous Waste Disposed 10
Diversion Rate of Non-Hazardous Waste 4
Recycling Rate of Non-Hazardous Waste 11
Paper Waste 10
Plastic Waste 9
Glass Waste 10
Non-Hazardous Waste (Kitchen Waste) 7
Total Non-Hazardous Waste Incineration 4
A1.5 Emission Targets
1 Data Points
Indicator Data Points Actions
CO2 Emissions Reduction Compared to Last Year 1

A2.1 Energy Consumption
209 Data Points
Indicator Data Points Actions
Energy Consumption Intensity (By Revenue) 20
Energy Consumption Intensity (By Employee) 17
Energy Consumption Intensity (By Area) 9
Energy Consumption Intensity (By FTE) 3
Total Energy Consumption 21
Gasoline Consumption 18
Diesel Fuel Consumption 24
Natural Gas Consumption 21
LPG Consumption 24
Renewable Energy Consumption 3
Solar Energy 9
Total Indirect Energy Consumption 6
Purchased Electricity 24
Purchased Steam 10
A2.2 Water Consumption
98 Data Points
Indicator Data Points Actions
Total Water Withdrawal 3
Total Wastewater Discharge 13
Water Consumption 10
Municipal Water Consumption 34
Recycled Water Usage 17
Recycled Water Percentage 4
Water Consumption Intensity (By Revenue) 16
Water Withdrawal Intensity 1
A2.3 Energy Use Efficiency Targets
12 Data Points
Indicator Data Points Actions
Energy Consumption Reduction Compared to Last Year 2
Electricity Usage Reduction Compared to Last Year 7
Electricity Usage Reduction Percentage Compared to Last Year 1
Target Electricity Usage Reduction Percentage Compared to Last Year 2
A2.4 Water Efficiency Targets
2 Data Points
Indicator Data Points Actions
Water Consumption Reduction Percentage Compared to Last Year 1
Target Water Consumption Reduction Percentage Compared to Last Year 1
A2.5 Total Packaging Material Used
18 Data Points
Indicator Data Points Actions
Packaging Material Consumption (Plastic) 9
Packaging Material Consumption (Paper) 7
Packaging Material Consumption (Rubber) 1
Usage of Packaging Materials (Wood) 1

B1.1 Amount and Distribution of Workforce
442 Data Points
Indicator Data Points Actions
Number of Total Employees 22
Number of Male Employees 22
Number of Female Employees 22
Percentage of Male Employees 16
Percentage of Female Employees 16
Number of Full-time Employees 17
Number of Part-time Employees 17
Number of Contractors 3
Number of Temporary Workers 17
Percentage of Full-time Employees 17
Percentage of Part-time Employees 17
Percentage of Contractors 3
Percentage of Temporary Workers 17
Number of Employees Aged Below 30 2
Number of Employees Aged 30-50 2
Number of Employees Aged Above 50 2
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 11
Number of Employees in Mainland China 11
Number of Employees in Singapore 10
Percentage of Employees in Hong Kong 6
Percentage of Employees in Mainland China 6
Percentage of Employees in Singapore 5
Number of Senior Management Employees 2
Number of Middle Management Employees 2
Number of General Employees 2
Number of New Employees 14
Percentage of New Employees 10
Number of New Employees (Male) 14
Number of New Employees (Female) 14
Number of New Employees (Mainland China) 10
Number of New Employees (Hong Kong) 10
Number of New Employees (Overseas) 3
Number of New Employees (Aged Below 30) 14
Number of New Employees (Aged 30-50) 13
Number of New Employees (Above 50) 12
Number of New Employees (Senior Management) 2
Number of New Employees (Middle Management) 2
Number of Full-time Employees (Male) 4
Number of Part-time Employees (Male) 3
Number of Temporary Workers (Male) 3
Number of Full-time Employees (Female) 4
Number of Part-time Employees (Female) 3
Number of Temporary Workers (Female) 3
Number of Senior Management Employees (Male) 2
Number of Middle Management Employees (Male) 2
Number of General Employees(Male) 1
Number of Senior Management Employees (Female) 2
Number of Middle Management Employees (Female) 2
Number of General Employees (Female) 2
Number of Employees in Hong Kong (Male) 2
Number of Employees in Mainland China (Male) 2
Number of Employees in Hong Kong (Female) 2
Number of Employees in Mainland China (Female) 2
B1.2 Employee Turnover Rate
181 Data Points
Indicator Data Points Actions
Turnover Rate of Female Employees 16
Turnover Rate of Male Employees 16
Turnover Rate of Employees Aged Below 30 16
Turnover Rate of Employees Aged 30-50 16
Turnover Rate of Employees Aged Above 50 15
Turnover Rate of Employees in Hong Kong 14
Turnover Rate of Employees in Mainland China 14
Turnover Rate of Employees in Hong Kong and Mainland China 3
Turnover Rate of Total Employees 17
Turnover Rate of Employees in Singapore 7
Turnover Rate of Senior Management Employees 4
Turnover Rate of Middle Management Employees 4
Turnover Rate of General Employees 4
Percentage of Employees still Employed 12 Months after Return to Work 9
Percentage of Employees still Employed 12 Months after Return to Work (Male) 13
Percentage of Employees still Employed 12 Months after Return to Work (Female) 13

B2.1 Number and Rate of Work-related Fatalities
14 Data Points
Indicator Data Points Actions
Number of Work-related Fatalities 10
Number of Fatalities as a Result of Work-related Injuries 1
Number of Work-related Fatalities (Mainland) 1
Number of Work-related Fatalities (Hong Kong) 1
Number of Fatalities of the Last 3 Years 1
B2.2 Lost Days Due to Work Injury
50 Data Points
Indicator Data Points Actions
Lost Days Due to Work-related Injuries (Hong Kong) 11
Lost Days Due to Work-related Injuries (Mainland China) 11
Lost Days Due to Work-related Injuries (Overseas) 4
Rate of Work-related Injuries 3
Lost Time Injury Frequency Rate (LTIFR/LTIR) 3
Lost Time Injury Frequency Rate (Hong Kong) 3
Lost Time Injury Frequency Rate (Mainland China) 3
Lost Days Due to Work-related Injuries 12

B3.1 The Percentage of Employees Trained
119 Data Points
Indicator Data Points Actions
Percentage of Employees Trained 14
Percentage of Trained Male Employees 14
Percentage of Trained Female Employees 14
Percentage of Trained Employees Under 30 6
Percentage of Trained Employees Aged 30-50 6
Percentage of Trained Employees Over 50 6
Percentage of Trained Mainland China Employees 8
Percentage of Trained Hong Kong Employees 9
Percentage of Trained Senior Management 14
Percentage of Trained Middle Management 14
Percentage of Trained General Employees 14
B3.2 Average Training Hours Completed per Employee
133 Data Points
Indicator Data Points Actions
Total Training Hours 9
Average Training Hours per Employee 15
Average Training Hours (Male) 16
Average Training Hours (Female) 16
Average Training Hours (Senior Management) 16
Average Training Hours (Middle Management) 16
Average Training Hours (General Staff) 16
Average Training Hours (Employees Under 30) 8
Average Training Hours (Employees Aged 30-50) 6
Average Training Hours (Employees Over 50) 6
Average Training Hours (Mainland China Employees) 4
Average Training Hours (Hong Kong Employees) 4
Training Hours of Anti-corruption 1

B4.1 Avoid Child and Forced Labour
2 Data Points
Indicator Data Points Actions
Number of Violation Cases Related to Child Labour or Forced Labour 2

B5.1 Number of Suppliers by Geographical Region
5 Data Points
Indicator Data Points Actions
Number of Total Suppliers 1
Number of Suppliers in Mainland China 1
Number of Suppliers in Hong Kong 1
Total Number of Suppliers in Singapore 1
Proportion of Spending on Local Suppliers 1

B6.1 Products Recalled
7 Data Points
Indicator Data Points Actions
Percentage of Recalled Products for Safety and Health Reasons 4
Number of Recalled Products for Safety and Health Reasons 3
B6.2 Products Complaints
3 Data Points
Indicator Data Points Actions
Total Number of Customer Complaints 3
B6.5 Consumer Data Protection and Privacy Policies
10 Data Points
Indicator Data Points Actions
Number of Customer Privacy Related Complaints 6
Number of Customer Privacy Leakage Incident 4

B7.1 Confirmed Incidents of Corruption
7 Data Points
Indicator Data Points Actions
Number of Confirmed Incidents of Corruption 7
B7.3 Anti-corruption Training
1 Data Points
Indicator Data Points Actions
Total Hours of Anti-corruption Training 1

General
25 Data Points
Indicator Data Points Actions
Towngas - Total 3
Rate of Work-related Injuries (Hong Kong) 2
Unleaded Petrol Consumption 3
Target Electricity Usage Reduction Percentage by 2030 Compared to 2014 1
Number of General Employees (Male) 1
Rate of Work-related Injuries (Mainland China) 2
Number of Employees in Singapore (Male) 1
Target GHG Emissions Reduction Percentage by 2030 Compared to 2014 3
Number of New Employees (Singapore) 1
Marine gas oil - Total 6
Target Electricity Usage Reduction Percentage by 2030 Compared to 2021 1
Number of Employees in Singapore (Female) 1

ESG Reports

Year Report Title Publication Date Raw KPIs Standard KPIs Processed Actions
2024 Sustainability Report 2024 2025-04-14 1005 259 Yes
2023 Sustainability Report 2023 2024-04-09 762 242 Yes
2022 Sustainability Report 2022 2023-04-03 1014 260 Yes
2021 Sustainability Report 2021 2022-05-26 745 214 Yes
2020 Sustainability Report 2020 2021-05-21 757 197 Yes
2019 Sustainability Report 2019 2020-05-11 392 133 Yes
2018 Sustainability Report 2018 2019-06-21 955 201 Yes
2017 Sustainability Report 2017 2018-06-22 632 112 Yes