2018 SUSTAINABILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| GHG emission intensity | tCO2e/RMB million revenue | 4.32 | 3.85 | 30 |
| GHG scope I | tCO2e | / | 1371 | 30 |
| GHG scope II | tCO2e | 6382 | 4984 | 30 |
| Total GHG emission | tCO2e | 6382 | 6355 | 30 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Non-hazardous waste | ton | 3457 | 3677 | 30 |
| Non-hazardous waste intensity | ton/RMB million revenue | 2.34 | 2.23 | 30 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Coal | ton | 275 | 29 | |
| Comprehensive energy consumption | megawatt hour | 12380 | 29 | |
| Comprehensive energy consumption intensity | megawatt hour/RMB million revenue | 7.5 | 29 | |
| Diesel | litre | 96372 | 29 | |
| Kerosene | litre | 14030 | 29 | |
| Natural gas | cubic meter | 204626 | 29 | |
| Purchased power | megawatt hour | 6631 | 7251 | 29 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Water consumption | ton | 611453 | 457229 | 29 |
| Water consumption intensity | tons/RMB10000 revenue | 4.14 | 2.77 | 29 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Employee Age Distribution - 30-50 | employees | 1245 | 12 | |
| Employee Age Distribution - Below 30 | employees | 620 | 12 | |
| Employee Age Distribution - Over 50 | employees | 370 | 12 | |
| Employee Gender Distribution - Female | employees | 949 | 12 | |
| Employee Gender Distribution - Male | employees | 1286 | 12 | |
| Employee Regional Distribution - Anhui District | employees | 138 | 12 | |
| Employee Regional Distribution - Chongqing District | employees | 135 | 12 | |
| Employee Regional Distribution - Henan District | employees | 359 | 12 | |
| Employee Regional Distribution - Jiangxi District | employees | 258 | 12 | |
| Employee Regional Distribution - Liaoning District | employees | 159 | 12 | |
| Employee Regional Distribution - Other Districts | employees | 299 | 12 | |
| Employee Regional Distribution - Shandong District | employees | 146 | 12 | |
| Employee Regional Distribution - Shanghai District | employees | 741 | 12 | |
| Employment Type of Employees - Marketing | employees | 556 | 12 | |
| Employment Type of Employees - Non-Marketing | employees | 1679 | 12 | |
| Total Number of Employees | employees | 2235 | 5, 12 | |
| Total number of full-time employees | 1836 | 2235 | 15 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Employee Education Background Distribution - Bachelor's Degree | employees | 432 | 12 |
| Employee Education Background Distribution - Below Bachelor's Degree | employees | 1755 | 12 |
| Employee Education Background Distribution - Doctoral Degree | employees | 3 | 12 |
| Employee Education Background Distribution - Master's Degree | employees | 45 | 12 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Average training hours by employee type (Marketing) | hours | 47.5 | 49.5 | 15 |
| Average training hours by employee type (Non-Marketing) | hours | 13.3 | 10.6 | 15 |
| Average training hours by gender (Female) | hours | 23.2 | 19.1 | 15 |
| Average training hours by gender (Male) | hours | 24.1 | 21.1 | 15 |
| Total training hours | hours | 43486 | 45318 | 15 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of national invention patents obtained for Jiesheng environmental-friendly cremation machine | patent | 1 | 31 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
|---|---|---|---|---|---|---|---|---|
| Number of Customers Served | 18230 | 20131 | 26573 | 29237 | 32892 | 49000 | 6 |
Description of practices relating to observing and protecting intellectual property rights.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of patent projects held by Fu Shou Yuan | patent projects | 26 | 31 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 1371 | |
| Indirect Energy Emissions (Scope 2) | tCO2e | 6382 | 4984 |
| Total GHG Emissions | tCO2e | 6382 | 6355 |
| Total GHG Emissions Intensity (By Revenue) | tCO2e/RMB million revenue | 4.32 | 3.85 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/RMB million revenue | 2.34 | 2.23 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Comprehensive Energy Consumption Intensity (By Revenue) | megawatt hour/RMB million revenue | 7.5 | |
| Diesel Fuel Consumption | litre | 96372 | |
| Energy Consumption Intensity (By Revenue) | GWh/million RMB revenue | 7.5 | |
| Fossil Fuel Consumption | ton | 275 | |
| Kerosene Consumption | litre | 14030 | |
| Natural Gas Consumption | cubic meter | 204626 | |
| Purchased Electricity | megawatt hour | 6631 | 7251 |
| Purchased Electricity Intensity (By Revenue) | GWh/million RMB revenue | 4.39 | |
| Total Energy Consumption | megawatt hour | 12380 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Water Consumption | ton | 611453 | 457229 |
| Water Consumption Intensity (By Revenue) | tons/RMB10000 revenue | 4.14 | 2.77 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Electricity Usage Reduction Percentage Compared to Last Year | % |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Employees Aged 30-50 | employees | 1245 |
| Number of Employees Aged Above 50 | employees | 370 |
| Number of Employees Aged Below 30 | employees | 620 |
| Number of Female Employees | employees | 949 |
| Number of Full-time Employees | employees | 2235 |
| Number of Male Employees | employees | 1286 |
| Number of Total Employees | employees | 2235 |
| Percentage of Female Employees | % | 42.46 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Average Training Hours (Female) | hours | 23.2 | 19.1 |
| Average Training Hours (Male) | hours | 24.1 | 21.1 |
| Average Training Hours (Marketing & Customer Service) | hours | 47.5 | 49.5 |
| Total Training Hours | hours | 43486 | 45318 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers |
Description of practices relating to observing and protecting intellectual property rights.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Authorised Utility Model Patents | patents | |
| Number of Patents Held | patent projects | 26 |