Company Profile

UNI-BIO GROUP

690 Biotechnology
Description

Uni-Bio Science Group Limited, an investment holding company, researches and develops, manufactures, and sells biological and chemical pharmaceutical products to treat human diseases in the People's Republic of China. It operates in Chemical Pharmaceutical Products, Biological Pharmaceutical Products, and Pipeline Products. The company provides GeneTime, a prescription biological drug for wound healing; GeneSoft, a therapeutic drug for dry eye syndrome, corneal damage, and post-operative healing; Pinup, a voriconazole tablet to treat severe fungal infections; and Boshutai, a small molecule drug to treat diabetes. It is also developing prescription drugs, including rExendin-4 (Uni-E4) for Type 2 diabetes; and rhPTH 1-34 (Uni-PTH) for the treatment of osteoporosis in postmenopausal women, as well as Uni-GLP, a GLP-1 agent for the treatment of Type 2 diabetes. In addition, the company is involved in the distribution of hydrogel wound dressing for post-skin injury and minimally invasive surgery wound healing. Uni-Bio Science Group Limited was incorporated in 2001 and is headquartered in Sha Tin, Hong Kong.

Reports

This company has 9 ESG reports available.

ESG Performance Overview

Select a KPI indicator to view performance trend

KPI Indicators

A1.1 Emission Types and Data
43 Data Points
Indicator Data Points Actions
SOₓ Emissions 13
NOₓ Emissions 15
Airborne Particulate Matter (PM) Emissions 15
A1.2 Direct (Scope 1) and Indirect (Scope 2) GHG Emissions
77 Data Points
Indicator Data Points Actions
Total GHG Emissions Intensity (By Product Volume) 2
Total GHG Emissions Intensity (By Area) 14
Total GHG Emissions Intensity (By Revenue) 4
Total GHG Emissions Intensity (By Unit Product) 6
Total GHG Emissions 14
Direct GHG Emissions (Scope 1) 14
Indirect Energy Emissions (Scope 2) 14
Total Other Indirect Energy Emissions (Scope 3) 9
A1.3 Hazardous Waste
32 Data Points
Indicator Data Points Actions
Total Hazardous Waste Intensity (By Revenue) 3
Total Hazardous Waste Intensity (By Area) 14
Total Hazardous Waste 15
A1.3: Hazardous Waste
6 Data Points
Indicator Data Points Actions
Total Hazardous Waste Intensity (By Product Volume) 6
A1.4 Non-Hazardous Waste
44 Data Points
Indicator Data Points Actions
Non-Hazardous Waste Disposed 5
Non-Hazardous Waste (Domestic Waste) 10
Non-Hazardous Waste (Kitchen Waste) 6
Total Non-Hazardous Waste Intensity (By Unit Product) 6
Total Non-Hazardous Waste Intensity (By Revenue) 3
Total Non-Hazardous Waste Intensity (By Area) 14

A2.1 Energy Consumption
103 Data Points
Indicator Data Points Actions
Energy Consumption Intensity (By Revenue) 3
Energy Consumption Intensity (By Area) 14
Energy Consumption Intensity (By Unit Product) 6
Total Energy Consumption 14
Total Direct Energy Consumption 6
Gasoline Consumption 14
Diesel Fuel Consumption 8
Heating Oil Consumption 1
Natural Gas Consumption 14
Total Indirect Energy Consumption 6
Purchased Electricity 12
Purchased Heating 5
A2.2 Water Consumption
33 Data Points
Indicator Data Points Actions
Total Water Withdrawal 4
Total Wastewater Discharge 6
Water Consumption 10
Water Consumption Intensity (By Revenue) 13
A2.5 Total Packaging Material Used
37 Data Points
Indicator Data Points Actions
Packaging Materials Consumed 14
Packaging Material Intensity (By Area) 14
Packaging Material Intensity (By Revenue) 3
Packaging Material Intensity (By Unit Product) 6

B1.1 Amount and Distribution of Workforce
311 Data Points
Indicator Data Points Actions
Number of Total Employees 11
Number of Male Employees 11
Number of Female Employees 11
Percentage of Male Employees 10
Percentage of Female Employees 10
Number of Employees Aged Below 30 11
Number of Employees Aged 30-50 11
Number of Employees Aged Above 50 11
Percentage of Employees Aged Below 30 10
Percentage of Employees Aged 30-50 10
Percentage of Employees Aged Above 50 10
Number of Employees in Hong Kong 7
Number of Employees in Mainland China 7
Number of Employees in Hong Kong and Mainland China 7
Percentage of Employees in Hong Kong 7
Percentage of Employees in Mainland China 7
Percentage of Employees in Hong Kong and Mainland China 7
Number of Senior Management Employees 11
Number of Middle Management Employees 11
Number of General Employees 14
Percentage of Senior Management Employees 3
Percentage of Middle Management Employees 3
Percentage of General Employees 3
Number of New Employees 10
Percentage of New Employees 11
Number of New Employees (Male) 11
Number of New Employees (Female) 11
Number of New Employees (Aged Below 30) 11
Number of New Employees (Aged 30-50) 11
Number of New Employees (Above 50) 11
Number of New Employees (Senior Management) 10
Number of New Employees (Middle Management) 10
Number of Senior Management Employees (Male) 1
Number of Middle Management Employees (Male) 1
Number of General Employees(Male) 1
Number of Senior Management Employees (Female) 1
Number of Middle Management Employees (Female) 1
Number of General Employees (Female) 1
Number of Employees Aged Below 30 (Male) 1
Number of Employees Aged 30-50 (Male) 1
Number of Employees Aged Above 50 (Male) 1
Number of Employees Aged Below 30 (Female) 1
Number of Employees Aged 30-50 (Female) 1
Number of Employees Aged Above 50 (Female) 1
B1.2 Employee Turnover Rate
88 Data Points
Indicator Data Points Actions
Turnover Rate of Female Employees 9
Turnover Rate of Male Employees 9
Turnover Rate of Employees Aged Below 30 9
Turnover Rate of Employees Aged 30-50 9
Turnover Rate of Employees Aged Above 50 9
Turnover Rate of Employees in Hong Kong 5
Turnover Rate of Employees in Mainland China 5
Turnover Rate of Total Employees 9
Turnover Rate of Senior Management Employees 8
Turnover Rate of Middle Management Employees 8
Turnover Rate of General Employees 8

B2.1 Number and Rate of Work-related Fatalities
25 Data Points
Indicator Data Points Actions
Number of Work-related Fatalities 8
Work-related Fatalities Rate 3
Number of Fatalities as a Result of Work-related Injuries 3
Number of Fatalities of the Last 3 Years 7
Fatalities Rate of the Last 3 Years 4
B2.2 Lost Days Due to Work Injury
15 Data Points
Indicator Data Points Actions
Number of Work-related Injuries 4
Lost Days Due to Work-related Injuries 11

B3.1 The Percentage of Employees Trained
79 Data Points
Indicator Data Points Actions
Percentage of Employees Trained 11
Percentage of Trained Male Employees 12
Percentage of Trained Female Employees 12
Percentage of Trained Senior Management 11
Percentage of Trained Middle Management 12
Percentage of Trained General Employees 10
Percentage of Trained Executive Employees 6
Percentage of Trained Board of Directors 5
B3.2 Average Training Hours Completed per Employee
85 Data Points
Indicator Data Points Actions
Total Training Hours 11
Average Training Hours per Employee 10
Average Training Hours (Male) 11
Average Training Hours (Female) 11
Average Training Hours (Senior Management) 10
Average Training Hours (Middle Management) 11
Average Training Hours (General Staff) 11
Average Training Hours (General Employees) 1
Average Training Hours (Executive Employees) 2
Average Training Hours (Director and Above) 7

B5.1 Number of Suppliers by Geographical Region
15 Data Points
Indicator Data Points Actions
Number of Total Suppliers 7
Number of Suppliers in Mainland China 3
Total Number of Suppliers in Switzerland 5
B5.2 Supplier Engagement and Monitoring
7 Data Points
Indicator Data Points Actions
Number of Suppliers Participating in ESG Training 5
Number of Suppliers Participated in CSR Training 2

B6.1 Products Recalled
5 Data Points
Indicator Data Points Actions
Percentage of Recalled Products for Safety and Health Reasons 5
B6.2 Products Complaints
5 Data Points
Indicator Data Points Actions
Number of Products and Service Related Complaints 5

General
13 Data Points
Indicator Data Points Actions
Water Consumption Intensity (By Area) 3
Sulfur dioxide emissions 2
Work-related Fatalities Rate of the Last 3 Years 3
Number of Suppliers in Switzerland 1
Number of New Employees (General Employees) 4