2019 Environmental, Social and Governance 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 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Greenhouse Gases Emission (Scope 1) Intensity | units/capita | 0.09 | 0.07 | 0.09 | 57 |
| Greenhouse Gases Emission (Scope 1) Total | tons | 774 | 635 | 771 | 57 |
| Greenhouse Gases Emission (Scope 2) Intensity | units/capita | 1.25 | 1.91 | 2.18 | 57 |
| Greenhouse Gases Emission (Scope 2) Total | tons | 11353 | 17157 | 19115 | 57 |
| Total of Greenhouse Gases Emission | tons | 12127 | 17792 | 19881.2 | 57 |
| Total of Greenhouse Gases Emission Intensity | units/capita | 1.33 | 1.98 | 2.27 | 57 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Waste Cartridge Intensity | units/capita | 0.33 | 0.28 | 0.31 | 57 |
| Waste Cartridge Total | units | 3040 | 2507 | 2693 | 57 |
| Waste Computer and Waste Fixed Assets with more than 5000 yuan Intensity | units/capita | 0.47 | 0.32 | 0.3 | 57 |
| Waste Computer and Waste Fixed Assets with more than 5000 yuan Total | units | 4255 | 2852 | 2587 | 57 |
| Waste Fluorescent Tube Intensity | units/capita | 1.05 | 0.45 | 0.78 | 57 |
| Waste Fluorescent Tube Total | units | 9502 | 4084 | 6797 | 57 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Office Waste Intensity | tons/capita | 0.03 | 0.07 | 0.05 | 57 |
| Office Waste Total | tons | 299 | 608 | 451 | 57 |
| Paper Intensity | tons/capita | 0.02 | 0.01 | 0.02 | 57 |
| Waste Ink Box Intensity | units/capita | 0.17 | 0.33 | 0.3 | 57 |
| Waste Ink Box Total | units | 1513 | 3007 | 2620 | 57 |
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 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Diesel Oil Intensity | liter/capita | 0.07 | 0.06 | 0.05 | 57 |
| Diesel Oil Total | liter | 597 | 543 | 435.19 | 57 |
| Direct Energy Consumption Intensity | kilowatt hour/capita | 335.19 | 277.64 | 346.38 | 57 |
| Direct Energy Consumption Total | kilowatt hour | 3046909 | 2499840 | 3033925 | 57 |
| Electricity Intensity | kilowatt hour/capita | 1878.99 | 2799.17 | 3200.75 | 57 |
| Electricity Total | kilowatt hour | 17078103 | 25203722 | 28035385 | 57 |
| Indirect Energy Consumption Intensity | kilowatt hour/capita | 1878.99 | 2799.17 | 3200.75 | 57 |
| Indirect Energy Consumption Total | kilowatt hour | 17078103 | 25203722 | 28035385 | 57 |
| Unleaded Petrol Intensity | liter/capita | 39.92 | 32.14 | 40.13 | 57 |
| Unleaded Petrol Total | liter | 362843 | 289382 | 351463 | 57 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Water Intensity | tons/capita | 12.72 | 22.96 | 13.53 | 57 |
| Water Total | tons | 115649 | 206764 | 118549 | 57 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Paper Total | tons | 143 | 123 | 148 | 57 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of employees aged 30 and below | persons | 3957 | 45 | ||
| Number of employees aged 30-40 | persons | 2570 | 45 | ||
| Number of employees aged 41-50 | persons | 1847 | 45 | ||
| Number of employees aged 51 and above | persons | 657 | 45 | ||
| Number of employees in asset management | persons | 180 | 45 | ||
| Number of employees in brokerage business | persons | 6213 | 45 | ||
| Number of employees in compliance/risk/audit management | persons | 179 | 45 | ||
| Number of employees in finance department | persons | 158 | 45 | ||
| Number of employees in information technology | persons | 257 | 45 | ||
| Number of employees in investment banking | persons | 637 | 45 | ||
| Number of employees in other business and administration | persons | 1081 | 45 | ||
| Number of employees in research | persons | 180 | 45 | ||
| Number of employees in securities investment | persons | 146 | 45 | ||
| Number of employees with bachelor's degree | persons | 4823 | 45 | ||
| Number of employees with doctorate degree and above | persons | 72 | 45 | ||
| Number of employees with master's degree | persons | 2263 | 45 | ||
| Number of employees with other education background | persons | 1873 | 45 | ||
| Number of female employees | persons | 3938 | 45 | ||
| Number of good things done for employees in 'Solving Difficulties for Employees' activity | actions | 216 | 4 | ||
| Number of investment bank teams introduced via Recruitment Hall | teams | 4 | 4 | ||
| Number of male employees | persons | 5093 | 45 | ||
| Number of people mobilized via Recruitment Hall | people | 131 | 4 | ||
| Number of resumes received from fresh graduates | resumes | 20000 | 4 | ||
| Proportion of employees aged 30 and below | % | 44 | 45 | ||
| Proportion of employees aged 30-40 | % | 28 | 45 | ||
| Proportion of employees aged 41-50 | % | 20 | 45 | ||
| Proportion of employees aged 51 and above | % | 7 | 45 | ||
| Proportion of employees in asset management | % | 2 | 45 | ||
| Proportion of employees in brokerage business | % | 69 | 45 | ||
| Proportion of employees in compliance/risk/audit management | % | 2 | 45 | ||
| Proportion of employees in finance department | % | 2 | 45 | ||
| Proportion of employees in information technology | % | 3 | 45 | ||
| Proportion of employees in investment banking | % | 7 | 45 | ||
| Proportion of employees in other business and administration | % | 12 | 45 | ||
| Proportion of employees in research | % | 2 | 45 | ||
| Proportion of employees in securities investment | % | 2 | 45 | ||
| Proportion of employees with bachelor's degree | % | 53 | 45 | ||
| Proportion of employees with doctorate degree and above | % | 1 | 45 | ||
| Proportion of employees with master's degree | % | 25 | 45 | ||
| Proportion of employees with other education background | % | 21 | 45 | ||
| Proportion of female employees | % | 44 | 45 | ||
| Proportion of male employees | % | 56 | 45 | ||
| Total number of employees | persons | 9089 | 9004 | 9031 | 45 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Employee turnover rate (excluding brokers) | % | 14.05 | 45 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of employees trained | employees | 9031 | 4 |
| Training coverage rate | percent | 100% | 4 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Average hours trained per person | hours | 56 | 4 |
| Increase in training hours per person compared with last year | percent | 12% | 4 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Sales of agricultural products for poverty alleviation | yuan | 8.57 million | 4 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Monthly active users of Golden Sunshine APP | users | 1.6 million | 4 |
| Number of transactions handled by counter business on first business day after centralization | transactions | 1734 | 4 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of times Golden Sunshine APP upgraded | times | 71 | 4 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Donation for Education Poverty Alleviation | yuan | 160 thousand | 4 |
| Investment to repair and renovate local schools for Education Poverty Alleviation | yuan | 580 thousand | 4 |
| Number of STAR Market events included in investor education | events | 1600 | 4 |
| Number of investor education events organized | events | 5480 | 4 |
| Number of students pledged for Education Poverty Alleviation | students | 220 | 4 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Investment in Industrial Poverty Alleviation in Xiji County, Ningxia | yuan | 1 million | 4 |
| Investment in Infrastructure Poverty Alleviation | yuan | 3.89 million | 4 |
| Number of registered poor farmers benefited in Xiji County, Ningxia | farmers | 1678 | 4 |
| Number of teachers and students helped by Medical Poverty Alleviation | people | 400 thousand | 4 |
| Value of agricultural products procured for poverty alleviation | yuan | 1.52 million | 4 |
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 | 2019 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tons | 774 | 635 | 771 |
| Indirect Energy Emissions (Scope 2) | tons | 11353 | 17157 | 19115 |
| Scope 1 GHG Emissions Intensity (By Unit Product) | units/capita | 0.09 | 0.07 | 0.09 |
| Scope 2 GHG Emissions Intensity (By Unit Product) | units/capita | 1.25 | 1.91 | 2.18 |
| Total GHG Emissions | tons | 12127 | 17792 | 19881.2 |
| Total GHG Emissions Intensity (By Unit Product) | units/capita | 1.33 | 1.98 | 2.27 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Hazardous Waste (Electronic and IT Equipment) | units | 4255 | 2852 | 2587 |
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 | 2019 |
|---|---|---|---|---|
| Non-Hazardous Waste (Office Waste) | tons | 299 | 608 | 451 |
| Paper Waste | tons/capita | 0.02 | 0.01 | 0.02 |
| Total Non-Hazardous Waste Intensity (By Employee) | tons/capita | 0.03 | 0.07 | 0.05 |
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 | 2019 |
|---|---|---|---|---|
| Diesel Fuel Consumption | liter | 597 | 543 | 435.19 |
| Gasoline Consumption | liter | 362843 | 289382 | 351463 |
| Purchased Electricity | kilowatt hour | 17078103 | 25203722 | 28035385 |
| Total Direct Energy Consumption | kilowatt hour | 3046909 | 2499840 | 3033925 |
| Total Energy Consumption | kilowatt hour | 20125012 | 27703562 | 31069310 |
| Total Indirect Energy Consumption | kilowatt hour | 17078103 | 25203722 | 28035385 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Total Water Withdrawal | tons | 115649 | 206764 | 118549 |
| Water Withdrawal Intensity | tons/capita | 12.72 | 22.96 | 13.53 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Packaging Material Consumption (Paper) | tons | 143 | 123 | 148 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Bachelor's Degree Employees | persons | 4823 | ||
| Number of Doctoral Degree Employees | persons | 72 | ||
| Number of Employees Aged 30-50 | persons | 4417 | ||
| Number of Employees Aged Above 50 | persons | 657 | ||
| Number of Employees Aged Below 30 | persons | 3957 | ||
| Number of Female Employees | persons | 3938 | ||
| Number of Male Employees | persons | 5093 | ||
| Number of Master's Degree Employees | persons | 2263 | ||
| Number of Total Employees | persons | 9089 | 9004 | 9031 |
| Percentage of Bachelor's Degree Employees | % | 53 | ||
| Percentage of Doctoral Degree Employees | % | 1 | ||
| Percentage of Employees Aged 30-50 | % | 48 | ||
| Percentage of Employees Aged Above 50 | % | 7 | ||
| Percentage of Employees Aged Below 30 | % | 44 | ||
| Percentage of Female Employees | % | 44 | ||
| Percentage of Male Employees | % | 56 | ||
| Percentage of Master's Degree Employees | % | 25 |
Employee turnover rate by gender, age group and geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Turnover Rate of Total Employees | % | 14.05 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Employees Trained | percent | 100 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Average Training Hours per Employee | hours | 56 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | million yuan | 6.41 |