2017 CORPORATE SOCIAL RESPONSIBILITY REPORT
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Car mileage | km | 416000 | 363140 | 302021 | 61 |
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 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Greenhouse gas (GHG) emissions per unit area | ton/m² | 0.09 | 0.07 | 0.08 | 61 |
Greenhouse gas (GHG) emissions per unit area (water) | ton/m² | 0.32 | 0.42 | 0.33 | 61 |
Total greenhouse gas (GHG) emissions | ton | 16387 | 15346 | 16552 | 61 |
Total greenhouse gas (GHG) emissions per person | ton/person | 14.6 | 10.9 | 9.8 | 61 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Toner | unit | 45 | 63 | 70 | 61 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Cartridges recycled | 360 | 60 | |||
Paper consumption | packages | 4600 | 60 | ||
Toner recycled | tons | 70 | 60 | ||
Waste volume of electronics | unit | 12900 | 13200 | 11400 | 61 |
Description of emissions target(s) set and steps taken to achieve them.
Indicator | Unit | 2017 | 2020 | 2030 | Report Pages |
---|---|---|---|---|---|
Proportion of non-fossil energy in one-off energy consumption target for China (2020) | % | 15 | 59 | ||
Proportion of non-fossil energy in one-off energy consumption target for China (2030) | % | 20 | 59 | ||
Total issuing scale of main green bonds issuance projects | RMB 100 Million | 100.5 | 58 |
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 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Car oil consumption data | RMB10000 | 27 | 28.9 | 16 | 61 |
Electricity consumption per person | kWh/person | 20674 | 15146 | 13866 | 61 |
Electricity consumption per unit area | kWh/m² | 110 | 103 | 112 | 61 |
Gas consumption per unit area | m³/m² | 3.56 | 5.12 | 4.23 | 61 |
Natural gas consumption per person | m³/person | 668 | 766 | 526 | 61 |
Total drive length of company vehicles | km | 302021 | 60 | ||
Total electricity consumption | kWh | 23134560 | 21643898 | 23433535 | 61 |
Total electricity consumption in data center | kWh | 9850601 | 60 | ||
Total natural gas consumption | m³ | 748005 | 1075998 | 888205 | 61 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Solar hot water system saved water at Huatai Securities Plaza | cubic meters | 416 | 62 | ||
Total water consumption | ton | 67366 | 88139 | 69445 | 61 |
Water consumption per person | ton/person | 60.2 | 62.78 | 41.09 | 61 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Ground source heat pump and cold water unit saved electricity at Huatai Securities Plaza | MWh | 49.984 | 62 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Cartridge | unit | 295 | 320 | 360 | 61 |
Total paper consumption | package | 3800 | 4100 | 4600 | 61 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2017 | 2017 Q3 | Report Pages |
---|---|---|---|---|
Aggregate value of hydropower 'green' assets supported by Huatai Asset Management - Gezhouba Green Asset-Backed Special Plan of Hydropower Grid Toll Right | million RMB | 1000 | 59 | |
AssetMark's market share in the US TAMP industry | % | 95.9 | 64 | |
Details of other projects | Charity sponsorships | 54 | ||
Issuing scale of 17 Bank of Gansu Green Financial Debt | RMB 100 Million | 10 | 58 | |
Issuing scale of 17 Longyuan Green Debt 01 | RMB 100 Million | 30 | 58 | |
Issuing scale of 17 Yunnan Water Green Debt | RMB 100 Million | 5.5 | 58 | |
Issuing scale of G17 Huadian 1 | RMB 100 Million | 20 | 58 | |
Issuing scale of G17 Huadian 2 | RMB 100 Million | 10 | 58 | |
Issuing scale of G17 Huadian 3 | RMB 100 Million | 5 | 58 | |
Issuing scale of G17 Longyuan 1 | RMB 100 Million | 20 | 58 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Coverage of social insurance | % | 100 | 100 | 100 | 41 |
Expenses on employee benefits | RMB10000 | 435328.87 | 443364.67 | 559024.69 | 13 |
Number of employees by age: 30-50 | Person | 4386 | 4455 | 4941 | 40 |
Number of employees by age: <30 | Person | 2257 | 2294 | 2398 | 40 |
Number of employees by age: >50 | Person | 210 | 218 | 252 | 40 |
Number of employees by education degree: College | Person | 3908 | 3926 | 4206 | 40 |
Number of employees by education degree: Doctor | Person | 73 | 81 | 100 | 40 |
Number of employees by education degree: Master | Person | 1773 | 2162 | 2598 | 40 |
Number of employees by education degree: Technical school and below | Person | 1099 | 798 | 687 | 40 |
Number of employees by gender: Female | Person | 3120 | 3233 | 3468 | 40 |
Number of employees by gender: Male | Person | 3733 | 3734 | 4123 | 40 |
Number of employees by region: Mainland China | Person | 6750 | 6856 | 7484 | 40 |
Number of employees by region: Overseas (including HK, Macao and Taiwan) | Person | 103 | 111 | 107 | 40 |
Number of female employees actually using the maternity leave | Person | 122 | 166 | 199 | 41 |
Number of graduates | Person | 272 | 363 | 336 | 40 |
Number of handicapped employees | Person | 3 | 2 | 2 | 40 |
Number of minority ethnic group employees | Person | 166 | 151 | 152 | 40 |
Number of new employees | Person | 903 | 1024 | 1270 | 40 |
Number of new employees by age: 30-50 | Person | 305 | 473 | 473 | 40 |
Number of new employees by age: <30 | Person | 590 | 716 | 795 | 40 |
Number of new employees by age: >50 | Person | 3 | 5 | 2 | 40 |
Number of new employees by gender: Female | Person | 551 | 555 | 765 | 40 |
Number of new employees by gender: Male | Person | 352 | 469 | 505 | 40 |
Number of new employees by region: Mainland China | Person | 861 | 995 | 1248 | 40 |
Number of new employees by region: Overseas (including HK, Macao and Taiwan) | Person | 42 | 29 | 22 | 40 |
Percentage of female employees returning to work after maternity leave | % | 100 | 100 | 100 | 41 |
Percentage of labor contracts signed | % | 100 | 100 | 100 | 41 |
Total assets | RMB10000 | 45261461.53 | 40145039.76 | 38148253.98 | 13 |
Total female in the management | Person | 28 | 33 | 33 | 40 |
Total financing at investment and financing matchmaking sessions held by Jiangsu Equity Exchange | million RMB | 590 | 30 | ||
Total male in the management | Person | 97 | 96 | 120 | 40 |
Total number of employees | Person | 6853 | 6967 | 7591 | 40 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Loss of staff | % | 9.65 | 17.21 | 8.87 | 40 |
Loss of staff by age: 30-50 | % | 10.21 | 16.32 | 7.15 | 40 |
Loss of staff by age: <30 | % | 17.07 | 21.67 | 15.35 | 40 |
Loss of staff by age: >50 | % | 9.96 | 18.54 | 11.7 | 40 |
Loss of staff by gender: Female | % | 8.42 | 14.99 | 8.48 | 40 |
Loss of staff by gender: Male | % | 10.89 | 19.46 | 9.23 | 40 |
Loss of staff by region: Mainland China | % | 9.65 | 17.21 | 8.87 | 40 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Number of work-related accidents | N/A | 2 | 4 | 42 |
Lost days due to work injury.
Indicator | Unit | 2015 | 2016 | Report Pages |
---|---|---|---|---|
Number of working days lost due to work-related injury | Day | 240 | 360 | 42 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Coverage ratio of staff training | % | 100 | 100 | 100 | 45 |
Coverage ratio of staff training by gender (female) | % | 100 | 100 | 100 | 45 |
Coverage ratio of staff training by gender (male) | % | 100 | 100 | 100 | 45 |
Coverage ratio of staff training by staff type (junior management) | % | 100 | 100 | 100 | 45 |
Coverage ratio of staff training by staff type (ordinary staff) | % | 100 | 100 | 100 | 45 |
Coverage ratio of staff training by staff type (senior and middle management) | % | 100 | 100 | 100 | 45 |
Number of corporate special trainings and member training held by Jiangsu Equity Exchange | trainings | 17 | 30 | ||
Number of major upgrades completed for ZhangLe Fortune Path | upgrades | 7 | 36 | ||
Number of participants at corporate special trainings and member training held by Jiangsu Equity Exchange | participants | 800 | 30 | ||
Number of participants trained by remote video or internet | 20000 | 60 | |||
Staff training attendance | person-time | 35002 | 34327 | 38490 | 45 |
Total length of video conferences | hours | 4000 | 60 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Average training hours per capita by gender (female) | hour | 48.6 | 49.8 | 50.8 | 45 |
Average training hours per capita by gender (male) | hour | 48.1 | 49.3 | 50.2 | 45 |
Average training hours per capita by staff type (junior management) | hour | 65 | 70 | 82 | 45 |
Average training hours per capita by staff type (ordinary staff) | hour | 44.5 | 45.2 | 46.6 | 45 |
Average training hours per capita by staff type (senior and middle management) | hour | 115 | 118 | 122 | 45 |
Average training hours per capita of all staffs for each year | hour | 48.3 | 49.5 | 50.5 | 45 |
Total expense of staff training | RMB10000 | 835.46 | 1112.53 | 1335.37 | 45 |
Number of suppliers by geographical region.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Number of listed companies at investment and financing matchmaking sessions held by Jiangsu Equity Exchange | companies | 88 | 30 | ||
Number of new enterprises added to Growth Enterprise Board | enterprises | 104 | 30 | ||
Number of new enterprises added to SEUI (Specialty, Excellency, Uniqueness and Innovation) Board | enterprises | 162 | 30 | ||
Number of new enterprises added to Technological Innovation Board | enterprises | 102 | 30 | ||
Number of private placements issued by Huatai United Securities | placements | 19 | 30 | ||
Number of suppliers on the Mainland | 131 | 128 | 120 | 26 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Average number of active users of ZhangLe Fortune Path in December | users | 6043000 | 36 | ||
Customer Satisfaction | 91.15% | 99.66% | 99.18% | 35 | |
Customer satisfaction surveys conducted | 323952 | 250162 | 304373 | 35 | |
Number of customer consultation | Person | 3270411 | 2777758 | 2709708 | 35 |
Number of intelligent services provided | services | 1590000 | 36 | ||
Number of mergers and acquisitions in 2017 that had received the approval of Merger & Reorganization Committee ranked the second place | 2 | 64 | |||
Number of mergers and acquisitions whose financial advisors were the employees of our company in Greater China ranked the second | 2 | 64 | |||
Number of video conferences held | 2000 | 60 | |||
Percentage of total consulting services that are intelligent services | % | 56.8 | 36 | ||
Ratio of manual customer service to total customer service business | 17.06% | 15.49% | 15.01% | 35 | |
Ratio of online customer service to total customer service | 57.01% | 14.36% | 28.91% | 35 | |
Ratio of smart customer service to total customer service business | 25.93% | 70.15% | 56.08% | 35 | |
Total proceeds of Hopwind Electric public offering | million RMB | 880 | 59 | ||
Total revenue from principal business | RMB10000 | 2626199.99 | 1692593.5 | 2110853.41 | 13 |
Transaction value realized in old share transfer consulting business (Fanli.com and Chinaums) | million RMB | 700 | 30 | ||
ZhangLe Fortune Path ranked No.1 among the brokers' APPs in terms of the average daily number of active users | 1 | 64 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Number of versions updated for ZhangLe Fortune Path | versions | 14 | 36 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Accumulated financing amount from private placement financing projects by Huatai United Securities | billion RMB | 1.79 | 30 |
Number of downloads of ZhangLe Fortune Path | downloads | 73000000 | 36 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Number of private placement financing projects completed by Huatai United Securities | projects | 9 | 30 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Strategy research team won the 4th place in 2017 Best Analysts contest | 4 | 64 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Construction engineering research team took the 2nd place in 2017 Best Analysts contest | 2 | 64 | |||
Macro research team and financial engineering team were candidates and won the 7th place in 2017 Best Analysts contest | 7 | 64 | |||
Number of industrial poverty alleviation projects | 7 | 54 | |||
Number of investment and financing matchmaking sessions held by Jiangsu Equity Exchange | sessions | 14 | 30 | ||
Number of other projects | project | 1 | 54 | ||
Tax paid | RMB10000 | 409381.02 | 461749.86 | 249947.07 | 13 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Amount invested in improvement of education resources in poverty area | ten thousand RMB | 50 | 54 | ||
Amount invested in industrial poverty alleviation projects | ten thousand RMB | 423.77 | 54 | ||
Amount invested in other projects | ten thousand RMB | 300 | 54 | ||
Amount invested in subsidizing poor students | ten thousand RMB | 11.36 | 54 | ||
Charity donation | RMB10000 | 606.69 | 1083.3 | 1430.51 | 13 |
Contributions to fixed-point poverty alleviation work | ten thousand RMB | 17.74 | 54 | ||
Funds raised by private placements issued by Huatai United Securities | million RMB | 800 | 30 | ||
Number of poor people helped to be removed from administrative record for poverty registering (Persons) | persons | 334 | 54 | ||
Number of poor people helped to be removed from administrative record for poverty registering through industrial development (Persons) | persons | 334 | 54 | ||
Number of students receiving allowance | persons | 135 | 54 | ||
Poverty alleviation charity fund | ten thousand RMB | 751.45 | 54 | ||
Social contribution per share | RMB | 3.74 | 2.88 | 3.23 | 13 |
Total fund for targeted poverty alleviation | ten thousand RMB | 1713.98 | 54 | ||
Weighted average annual interest rate of priority asset-backed securities for Huatai Asset Management - Gezhouba Green Asset-Backed Special Plan of Hydropower Grid Toll Right | % | 3.41 | 59 |
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 | 2015 | 2016 | 2017 |
---|---|---|---|---|
Total GHG Emissions | ton | 16387 | 15346 | 16552 |
Total GHG Emissions Intensity (By Area) | ton/m² | 0.09 | 0.07 | 0.08 |
Total GHG Emissions Intensity (By Employee) | ton/person | 14.6 | 10.9 | 9.8 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Non-Hazardous Waste (Electronic Waste) | unit | 12900 | 13200 | 11400 |
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 | 2015 | 2016 | 2017 |
---|---|---|---|---|
Energy Consumption Intensity (By Area) | m³/m² | 3.56 | 5.12 | 4.23 |
Natural Gas Consumption | m³ | 748005 | 1075998 | 526 |
Purchased Electricity | kWh | 23134560 | 21643898 | 23433535 |
Purchased Electricity Intensity (By Area) | kWh/m² | 110 | 103 | 112 |
Purchased Electricity Intensity (By Employee) | kWh/person | 20674 | 15146 | 13866 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Recycled Water Usage | cubic meters | 416 | ||
Water Consumption | ton | 67366 | 88139 | 69445 |
Water Consumption Intensity (By Revenue) | ton/person | 60.2 | 62.78 | 41.09 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2017 |
---|---|---|
Electricity Usage Reduction Compared to Last Year | MWh | 49.984 |
Energy Consumption Reduction Percentage Compared to Last Year | percent |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Packaging Material Consumption (Paper) | package | 3800 | 4100 | 4600 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2017 |
---|---|---|
Total Investment in Ecological Restoration | million RMB | 1000 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Number of Below Junior College Employees | Person | 1099 | 798 | 687 |
Number of Doctoral Degree Employees | Person | 73 | 81 | 100 |
Number of Employees Aged 30-50 | Person | 4386 | 4455 | 4941 |
Number of Employees Aged Above 50 | Person | 210 | 218 | 252 |
Number of Employees Aged Below 30 | Person | 2257 | 2294 | 2398 |
Number of Employees in Mainland China | Person | 6750 | 6856 | 7484 |
Number of Employees in Overseas | Person | 103 | 111 | 107 |
Number of Female Employees | Person | 3120 | 3233 | 3468 |
Number of Male Employees | Person | 3733 | 3734 | 4123 |
Number of Master's Degree Employees | Person | 1773 | 2162 | 2598 |
Number of New Employees | Person | 903 | 1024 | 1270 |
Number of New Employees (Above 50) | Person | 3 | 5 | 2 |
Number of New Employees (Aged 30-50) | Person | 305 | 473 | 473 |
Number of New Employees (Aged Below 30) | Person | 590 | 716 | 795 |
Number of New Employees (Female) | Person | 551 | 555 | 765 |
Number of New Employees (Mainland China) | Person | 861 | 995 | 1248 |
Number of New Employees (Male) | Person | 352 | 469 | 505 |
Number of New Employees (Overseas) | Person | 42 | 29 | 22 |
Number of Senior Management Employees (Female) | Person | 28 | 33 | 33 |
Number of Senior Management Employees (Male) | Person | 97 | 96 | 120 |
Number of Total Employees | Person | 6853 | 6967 | 7591 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Turnover Rate of Employees Aged 30-50 | % | 10.21 | 16.32 | 7.15 |
Turnover Rate of Employees Aged Above 50 | % | 9.96 | 18.54 | 11.7 |
Turnover Rate of Employees Aged Below 30 | % | 17.07 | 21.67 | 15.35 |
Turnover Rate of Employees in Mainland China | % | 9.65 | 17.21 | 8.87 |
Turnover Rate of Female Employees | % | 8.42 | 14.99 | 8.48 |
Turnover Rate of Male Employees | % | 10.89 | 19.46 | 9.23 |
Turnover Rate of Total Employees | % | 9.65 | 17.21 | 8.87 |
Lost days due to work injury.
Standard Indicator | Unit | 2015 | 2016 |
---|---|---|---|
Lost Days Due to Work-related Injuries | Day | 240 | 360 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Percentage of Employees Trained | % | 100 | 100 | 100 |
Percentage of Trained Female Employees | % | 100 | 100 | 100 |
Percentage of Trained General Employees | % | 100 | 100 | 100 |
Percentage of Trained Male Employees | % | 100 | 100 | 100 |
Percentage of Trained Middle Management | % | 100 | 100 | 100 |
Percentage of Trained Senior Management | % | 100 | 100 | 100 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Average Training Hours (Female) | hour | 48.6 | 49.8 | 50.8 |
Average Training Hours (General Staff) | hour | 44.5 | 45.2 | 46.6 |
Average Training Hours (Male) | hour | 48.1 | 49.3 | 50.2 |
Average Training Hours (Middle Management) | hour | 65 | 70 | 82 |
Average Training Hours (Senior Management) | hour | 115 | 118 | 122 |
Average Training Hours per Employee | hour | 48.3 | 49.5 | 50.5 |
Number of suppliers by geographical region.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Number of Suppliers in Mainland China | 131 | 128 | 120 | |
Number of Total Suppliers | 131 | 128 | 120 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Standard Indicator | Unit |
---|---|
Percentage of Recalled Products for Safety and Health Reasons | % |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Investment in Education Donation | RMB | 500000 | ||
Investment in Targeted Poverty Alleviation | RMB | 17139800 | ||
Total Cash Donations | RMB | 1430510 | ||
Total Public Welfare Donations | RMB | 606690 | 1083300 | 1430510 |
Total Social Investment | RMB | 606690 | 1083300 | 3010000 |