2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| CO emissions of air pollutants | kg | 1130.41 | 22 |
| NOx emissions of air pollutants | kg | 74.79 | 22 |
| PM10 emissions of air pollutants | kg | 6.28 | 22 |
| PM2.5 emissions of air pollutants | kg | 5.86 | 22 |
| SOx emissions of air pollutants | kg | 2.25 | 22 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Emission from electricity consumption (Scope 2) greenhouse gas emissions | tonnes of carbon dioxide equivalent | 3156.82 | 22 |
| Emission from vehicles (Scope 1) greenhouse gas emissions | tonnes of carbon dioxide equivalent | 300.72 | 22 |
| Total greenhouse gas emission intensity | tonnes of carbon dioxide equivalent/person | 1.22 | 22 |
| Total greenhouse gas emissions | tonnes of carbon dioxide equivalent | 3457.54 | 22 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Amount of used batteries generated | Units | 987 | 22 |
| Amount of used batteries recovered | Units | 288 | 22 |
| Amount of wasted fluorescent tubes generated | Units | 411 | 22 |
| Amount of wasted toner cartridges and ink cartridges generated | Units | 647 | 22 |
| Generation intensity of used batteries | Units/per person | 0.35 | 22 |
| Generation intensity of wasted fluorescent tubes | Units/per person | 0.14 | 22 |
| Generation intensity of wasted toner cartridges and ink cartridges | Units/per person | 0.23 | 22 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Amount of office's domestic waste generated | kg | 22181.41 | 22 |
| Amount of wasted fluorescent tubes recovered | Units | 65 | 22 |
| Amount of wasted toner cartridges and ink cartridges recovered | Units | 180 | 22 |
| Office's domestic waste generation intensity | kg/person | 7.82 | 22 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Amount of office's domestic waste recycled | kg | 3626.89 | 22 |
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 | 2019 | Report Pages |
|---|---|---|---|
| Intensity of diesel consumption | liters/person | 1.81 | 23 |
| Intensity of electricity consumption | kWh/person | 2018.13 | 23 |
| Intensity of gasoline consumption by vehicles | liters/person | 51.09 | 23 |
| Intensity of natural gas consumption | cubic meters/person | 0.24 | 23 |
| Total consumption of diesel | liters | 5130.98 | 23 |
| Total consumption of electricity | kWh | 5721411.26 | 23 |
| Total consumption of gasoline by vehicles | liters | 144836.1 | 23 |
| Total consumption of natural gas | cubic meters | 678 | 23 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Intensity of water consumption | tonnes/person | 12.57 | 23 |
| Total consumption of water | tonnes | 36530.71 | 23 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of employees (30 years old and below) | employees | 716 | 17 |
| Number of employees (31-40 years old) | employees | 1135 | 17 |
| Number of employees (41-50 years old) | employees | 544 | 17 |
| Number of employees (51 years old and above) | employees | 83 | 17 |
| Number of employees (Bachelor) | employees | 1721 | 17 |
| Number of employees (Beijing) | employees | 147 | 17 |
| Number of employees (Guangdong Province) | employees | 8 | 17 |
| Number of employees (Hainan Province) | employees | 8 | 17 |
| Number of employees (Hebei Province) | employees | 19 | 17 |
| Number of employees (Henan Province) | employees | 1939 | 17 |
| Number of employees (Hubei Province) | employees | 13 | 17 |
| Number of employees (Hunan Province) | employees | 31 | 17 |
| Number of employees (Jiangsu Province) | employees | 12 | 17 |
| Number of employees (Junior college and below) | employees | 180 | 17 |
| Number of employees (Master) | employees | 562 | 17 |
| Number of employees (PhD) | employees | 15 | 17 |
| Number of employees (Shandong Province) | employees | 38 | 17 |
| Number of employees (Shanghai) | employees | 149 | 17 |
| Number of employees (Shanxi Province) | employees | 6 | 17 |
| Number of employees (Shenzhen) | employees | 17 | 17 |
| Number of employees (Sichuan Province) | employees | 19 | 17 |
| Number of employees (Tianjin) | employees | 18 | 17 |
| Number of employees (Zhejiang Province) | employees | 2 | 17 |
| Number of employees (female) | employees | 1081 | 17 |
| Number of employees (male) | employees | 1397 | 17 |
| Number of employees (total) | employees | 2478 | 17 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Turnover rate (30 years old and below) | Turnover rate | 13.84% | 17 |
| Turnover rate (31-40 years old) | Turnover rate | 7.50% | 17 |
| Turnover rate (41-50 years old) | Turnover rate | 1.98% | 17 |
| Turnover rate (51 years old and above) | Turnover rate | 0.00% | 17 |
| Turnover rate (Beijing) | Turnover rate | 14.53% | 17 |
| Turnover rate (Guangdong Province) | Turnover rate | 27.27% | 17 |
| Turnover rate (Hainan Province) | Turnover rate | 27.27% | 17 |
| Turnover rate (Hebei Province) | Turnover rate | 5.00% | 17 |
| Turnover rate (Henan Province) | Turnover rate | 6.28% | 17 |
| Turnover rate (Hubei Province) | Turnover rate | 7.14% | 17 |
| Turnover rate (Hunan Province) | Turnover rate | 8.82% | 17 |
| Turnover rate (Jiangsu Province) | Turnover rate | 12.00% | 17 |
| Turnover rate (Shandong Province) | Turnover rate | 17.39% | 17 |
| Turnover rate (Shanghai) | Turnover rate | 14.86% | 17 |
| Turnover rate (Shanxi Province) | Turnover rate | 14.29% | 17 |
| Turnover rate (Shenzhen) | Turnover rate | 22.73% | 17 |
| Turnover rate (Sichuan Province) | Turnover rate | 17.39% | 17 |
| Turnover rate (Tianjin) | Turnover rate | 5.26% | 17 |
| Turnover rate (Zhejiang Province) | Turnover rate | 3.70% | 17 |
| Turnover rate (female) | Turnover rate | 8.81% | 17 |
| Turnover rate (male) | Turnover rate | 7.13% | 17 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee training coverage rate | 100% | 19 | |
| Number of internal training sessions organized by the Group's headquarters | sessions | 15 | 19 |
| Number of investment consultants participating in professional skills training (retail business department) | people | 95 | 19 |
| Number of participants in internal training sessions at the Group's headquarters | people | 1457 | 19 |
| Overall investment of training funds | million RMB | 3.5 | 19 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Duration of professional skills training for investment consultants (retail business department) | days | 3 | 19 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of IT projects initiated and participated in for customer satisfaction and investment consulting | projects | 17 | 26 |
| Number of new followers of Group's official WeChat | followers | 35312 | 26 |
| Number of online business service cases handled by customer service center | cases | 65000 | 26 |
| Number of return visits by customer service center | visits | 680000 | 26 |
| Number of rounds of online customer satisfaction surveys organized | rounds | 2 | 26 |
| Number of subscribers of Group's official WeChat | subscribers | 9146 | 26 |
| Number of valid responses to ESG stakeholder survey | responses | 445 | 11 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of management methods optimized by Retail Business Department | methods | 25 | 26 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Central China Futures donation for 'Children's Day' activity at Qianyang Elementary School | RMB | 40000 | 29 |
| Children's finance education activities - number of children educated | children | 30 | 27 |
| Step into STAR Market, You and I Walk Together special lectures organized | lectures | 98 | 27 |
| Step into STAR Market, You and I Walk Together total participations | participations | 2108 | 27 |
| number of employees of the Group signed up for the 5 km event at the 2019 Zheng-kai International Marathon | 200 | 20 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Central China Futures donation for 'Children's Day' activity at Qianyang Elementary School - schoolbags, stationery, and other supplies | RMB | 8000 | 29 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 6.28 |
| NOâ‚“ Emissions | kg | 74.79 |
| PM10 Emissions | kg | 6.28 |
| PM2.5 Emissions | kg | 5.86 |
| SOâ‚“ Emissions | kg | 2.25 |
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 | 2019 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | tonnes of carbon dioxide equivalent | 300.72 |
| Indirect Energy Emissions (Scope 2) | tonnes of carbon dioxide equivalent | 3156.82 |
| Total GHG Emissions | tonnes of carbon dioxide equivalent | 3457.54 |
| Total GHG Emissions Intensity (By Employee) | tonnes of carbon dioxide equivalent/person | 1.22 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Hazardous Waste (Other Recovery) | Units | 288 |
| Hazardous Waste (Used Batteries) | Units | 987 |
| Total Hazardous Waste | Units | 987 |
| Total Hazardous Waste Intensity (By Employee) | Units/per person | 0.35 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Non-Hazardous Waste (Domestic Waste) | kg | 22181.41 |
| Total Non-Hazardous Waste Intensity (By Employee) | kg/person | 7.82 |
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 | 2019 |
|---|---|---|
| Diesel Fuel Consumption | liters | 5130.98 |
| Gasoline Consumption | liters | 144836.1 |
| Natural Gas Consumption | cubic meters | 678 |
| Purchased Electricity | kWh | 5721411.26 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Water Consumption | tonnes | 36530.71 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Bachelor's Degree Employees | employees | 1721 |
| Number of Below Junior College Employees | employees | 180 |
| Number of Doctoral Degree Employees | employees | 15 |
| Number of Employees Aged 30-50 | employees | 1679 |
| Number of Employees Aged Above 50 | employees | 83 |
| Number of Employees Aged Below 30 | employees | 716 |
| Number of Female Employees | employees | 1081 |
| Number of Male Employees | employees | 1397 |
| Number of Master's Degree Employees | employees | 562 |
| Number of Total Employees | employees | 2478 |
| Percentage of Bachelor's Degree Employees | percent | 69.5 |
| Percentage of Below Junior College Employees | percent | 7.3 |
| Percentage of Doctoral Degree Employees | percent | 0.6 |
| Percentage of Employees Aged 30-50 | percent | 67.8 |
| Percentage of Employees Aged Above 50 | percent | 3.4 |
| Percentage of Employees Aged Below 30 | percent | 28.9 |
| Percentage of Female Employees | percent | 43.6 |
| Percentage of Male Employees | percent | 56.4 |
| Percentage of Master's Degree Employees | percent | 22.7 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Employees Aged 30-50 | % | 9.48 |
| Turnover Rate of Employees Aged Below 30 | % | 13.84 |
| Turnover Rate of Female Employees | % | 8.81 |
| Turnover Rate of Male Employees | % | 7.13 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | % | 100 |
| Total Cost of Training | million RMB | 3.5 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Training Hours of Professional Skills Development | days | 3 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Number of Customer Complaints | cases | 48 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Education Donation | RMB | 8000 |
| Investment in Targeted Poverty Alleviation | RMB | |
| Total Public Welfare Donations | million RMB |