HARBIN BANK CO., LTD. SOCIAL RESPONSIBILITY REPORT 2017
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2016 | 2017 | Report Pages |
---|---|---|---|---|
Reduction in toner cartridges used in headquarters building compared to 2016 | pieces | 111 | 44 | |
Sewage discharge | cubic metres | 50600 | 58952 | 45 |
Sewage discharge (Harbin branches) | cubic metres | 23800.58 | 45 | |
Toner cartridge used (Harbin branches) | pieces | 5998 | 45 | |
Toner cartridges used | pieces | 243 | 132 | 45 |
Toner cartridges used in headquarters building | pieces | 132 | 44 |
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 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Diesel consumption | litres | 2200 | 2800 | 2800 | 2700 | 45 |
Diesel consumption (Harbin branches) | litres | 13799 | 45 | |||
Natural gas consumption | cubic metres | 395288.84 | 248464.91 | 113262 | 80304 | 45 |
Natural gas consumption (Harbin branches) | cubic metres | 12471 | 45 | |||
Petrol consumption | litres | 30223 | 45 | |||
Power consumption | kWh | 3750000 | 3880976 | 6654792 | 6906177 | 45 |
Power consumption (Harbin branches) | kWh | 6562362 | 45 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Water consumption | tonnes | 14803 | 15100 | 50600 | 58952 | 45 |
Water consumption (Harbin branches) | tonnes | 52245.78 | 45 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Office paper consumption | tonnes | 8.4 | 7.3 | 7 | 9 | 45 |
Office paper consumption (Harbin branches) | tonnes | 55.6 | 45 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Year-end bank amount | RMB billion | 564.3 | 9 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
First tranche green bond coupon rate | % | 4.79 | 22 |
First tranche green bond issuance size | billion RMB | 2 | 22 |
First tranche green bond over-subscription rate | times | 2.61 | 22 |
First tranche green bond subscription amount | billion RMB | 5.22 | 22 |
First tranche green bond term | years | 3 | 22 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|
Average return on equity | % | 14.23 | 14.01 | 13.5 | 11 | ||
Average return on total assets | % | 1.14 | 1.01 | 0.96 | 11 | ||
Branches | 17 | 17 | 17 | 17 | 36 | ||
Financial services to Russia - operating income | million RMB | 182.5 | 38 | ||||
Financial services to Russia - operating profit | million RMB | 137.5 | 38 | ||||
General meeting and class meeting of shareholders (No.) | 1 | 5 | 6 | 6 | 8 | 27 | |
Increase in corporate loans and loans to small enterprise owners | % | 22.7 | 9 | ||||
Junior management (person) | person | 941 | 50 | ||||
Number of full-time female staff | person | 7408 | 7331 | 6989 | 6743 | 49 | |
Number of full-time male staff | person | 4182 | 4000 | 3913 | 3833 | 49 | |
Number of full-time staff (gender not specified) | person | 3226 | 3111 | 3056 | 2910 | 49 | |
Number of members in Sino-Russia Financial Council | 68 | 10 | |||||
Number of staff aged 35-45 | person | 1620 | 1566 | 1816 | 1431 | 49 | |
Number of staff aged above 45 | person | 426 | 542 | 779 | 703 | 49 | |
Number of staff aged under 35 | person | 5362 | 5024 | 4374 | 4609 | 49 | |
Operating management (person) | person | 246 | 50 | ||||
Percentage of microcredit loans to total loans | % | 14.1 | 16 | ||||
Percentage of microcredit loans to total loans to customers | % | 80.6 | 16 | ||||
Proportion of female management staff | % | 45.71 | 45.67 | 46 | 11 | ||
Proportion of female staff | % | 56.38 | 55.75 | 56.84 | 11 | ||
Senior management (person) | person | 13 | 50 | ||||
Technical staff (person) | person | 5478 | 5507 | 6043 | 5536 | 50 | |
Total assets | RMB million | 444851.3 | 539016.2 | 564255.2 | 11 | ||
Total personal loans | RMB10 million | 432277 | 615964 | 1057933 | 1188758 | 18 | |
Total staff | Person | 7131 | 6969 | 6743 | 11 | ||
WeChat banking - Followers | thousand people | 14 | 30 | 85 | 160.95 | 37 | |
Year-on-year increase in balance of asset for Sino-Russia businesses | % | 31.52 | 10 | ||||
Year-on-year increase in year-end bank amount | % | 4.7 | 9 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Operating income | RMB million | 11945.4 | 14172 | 14133.6 | 11 | |
Staff turnover rate by age - Aged 35-45 | % | 0.73 | 0.38 | 3.1 | 1.54 | 51 |
Staff turnover rate by age - Aged above 45 | % | 0.11 | 1.52 | 1.54 | 0.11 | 51 |
Staff turnover rate by age - Aged under 35 | % | 4.04 | 6.02 | 5.68 | 3.08 | 51 |
Staff turnover rate by gender - Female staff | % | 2.52 | 4.46 | 4.16 | 4.16 | 51 |
Staff turnover rate by gender - Male staff | % | 2.4 | 5.13 | 5.38 | 4.16 | 51 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|
Internal training (session) | session | 178 | 108 | 72 | 260 | 51 | |
Number of external training sessions | sessions | 60 | 50 | ||||
Number of internal training sessions | sessions | 260 | 50 | ||||
Number of new employees receiving pre-employment specialised intensive training | person | 91 | 50 | ||||
Number of trainees in Ability Enhancement Training Programme for Level 1 and Level 2 Sub-branch Presidents | person | 66 | 50 | ||||
Total attendance of training sessions | 8200 | 50 | |||||
Training for directors and supervisors (No. of sessions) | 3 | 3 | 2 | 3 | 2 | 27 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Average training hours by gender - Female staff (training hour/person) | training hour/person | 123 | 135 | 38.4 | 44 | 51 |
Average training hours by gender - Male staff (training hour/person) | training hour/person | 101 | 122 | 38.4 | 44 | 51 |
Average training hours per person | hours | 41.2 | 50 | |||
Branches - Junior management (training hour/person) | training hour/person | 52 | 174 | 170 | 45.3 | 51 |
Branches - Operating management (training hour/person) | training hour/person | 28.4 | 144 | 142 | 40.4 | 51 |
Branches - Technical staff (training hour/person) | training hour/person | 60 | 342 | 338 | 51.2 | 51 |
External training (session) | session | 56 | 74 | 33 | 60 | 51 |
Headquarters - Junior management (training hour/person) | training hour/person | 48 | 144 | 142 | 40.5 | 51 |
Headquarters - Operating management (training hour/person) | training hour/person | 38.1 | 96 | 96 | 39.7 | 51 |
Headquarters - Senior management (training hour/person) | training hour/person | 24.3 | 54 | 60 | 34.2 | 51 |
Headquarters - Technical staff (training hour/person) | training hour/person | 52 | 312 | 308 | 50.4 | 51 |
Number of learning hours in Ability Enhancement Training Programme for Level 1 and Level 2 Sub-branch Presidents | hours | 128 | 50 | |||
Total training sessions (session) | session | 19786 | 7771 | 8200 | 4584 | 51 |
Total training sessions at various departments (session) | session | 234 | 182 | 105 | 320 | 51 |
Number of suppliers by geographical region.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
% of total loans to customers - microcredit loans | % | 65.2 | 75.3 | 83.2 | 80.6 | 18 |
% of total microcredit loans - personal loans | % | 53.48 | 55.06 | 63.08 | 61.84 | 18 |
Accumulated targeted poverty alleviation loans granted | RMB100 million | 23 | 26.42 | 20 | ||
Adjusted loans to support the real economy | RMB billion | 237.4 | 9 | |||
Balance of Harbin Bank's microcredit loans | million RMB | 19141.9 | 16 | |||
Balance of loan to farmers | billion RMB | 10.1024 | 17 | |||
Balance of microcredit loans | RMB10 million | 808369 | 1118941 | 1677006 | 1914256 | 18 |
Balance of on-balance sheet and off-balance sheet asset businesses to Russia | million RMB | 11490 | 38 | |||
Balance of the Bank’s agricultural loan | billion RMB | 45.949 | 17 | |||
Balance of the targeted poverty alleviation loans | RMB100 million | 6.01 | 4.31 | 20 | ||
Corporate loans and loans to small enterprise owners | RMB billion | 138 | 9 | |||
Existing green credit customers | customers | 62 | 47 | 42 | 11 | 43 |
Green credit balance | RMB million, RMB100 million | 5.69 | 7.52 | 15.87 | 18.62 | 11, 43 |
Green credit balance of Harbin Bank | million RMB | 1862 | 22 | |||
Microcredit | RMB million | 111894.1 | 167700.5 | 191425.6 | 11 | |
Microcredit loans as percentage of total loans | % | 8.6 | 9 | |||
NPL ratio | % | 1.4 | 1.53 | 1.7 | 11 | |
Number of Sino-Russia correspondent banks in China | 140 | 10 | ||||
Number of branches established in Tianjin, Chongqing, Dalian, Shenyang, Chengdu, Harbin, Daqing, etc. | branches | 17 | 25 | |||
Number of business outlets (branches and sub-branches) as of 31 December | outlets | 363 | 25 | |||
Number of correspondent banks in Russia | 140 | 39 | ||||
Number of green credit clients at Harbin Bank | 11 | 22 | ||||
Number of overseas correspondent banks reached | 496 | 10, 39 | ||||
Number of rural service points | 34 | 38 | 38 | 42 | 19 | |
Number of rural service points for the disabled and impoverished undertaken by bank | 12 | 14 | 14 | 18 | 19 | |
Number of village and township banks in 14 provinces and municipalities | banks | 32 | 25 | |||
Physical Outlets | 322 | 352 | 355 | 363 | 36 | |
Sub-branches | 261 | 274 | 279 | 277 | 36 | |
Sub-branches of village and township banks | 29 | 36 | 34 | 35 | 36 | |
Total credit granted to Russian banks | million RMB | 10174 | 39 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
Indicator | Unit | 2017 | Report Pages |
---|---|---|---|
Stable operation rate of core system infrastructure | % | 99.98 | 35 |
Stable operation rate of other major systems | % | 99.95 | 35 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
ATMs | 344 | 381 | 372 | 321 | 36 | |
Client of village and township banking services | Account | 267758 | 322463 | 373646 | 11 | |
Cross-border transactions in Rouble cash | million RUB | 10 | 38 | |||
Income generated from intermediary business in cross-border e-commerce payment and settlement platform | million RMB | 47.01 | 39 | |||
Increase in adjusted loans to support the real economy | % | 17.7 | 9 | |||
Increase in adjusted loans to support the real economy over average growth rate of domestic commercial banks | percentage points | 5.3 | 9 | |||
Mobile phone banking - Users | thousand people | 10 | 32 | 75.72 | 37 | |
Multi-media inquiry machines | 159 | 160 | 161 | 102 | 36 | |
Number of WeChat banking followers | 1600000 | 10 | ||||
Number of clients of village and township banks | 213079 | 267758 | 322460 | 373646 | 19 | |
Number of customers in cross-border e-commerce payment platform | 1660 | 39 | ||||
Number of mobile phone banking users | 750000 | 10 | ||||
Number of online banking customers | 1820000 | 10 | ||||
Online banking - Corporate online banking customers | thousand people | 1.88 | 4.73 | 7 | 8.2 | 37 |
Online banking - Personal online banking customers | thousand people | 50.68 | 90.04 | 138.09 | 173.96 | 37 |
Online banking - Total customers | thousand people | 52.56 | 94.77 | 145.09 | 182.15 | 37 |
Phone banking - Total business capacity | thousand business calls | 234 | 230 | 245.7 | 315.53 | 37 |
Rouble foreign exchange | million RUB | 857568 | 38 | |||
Student-Origin-Based Loans granted to graduate students | million RMB, students | 41000 | 19 | |||
Total number of transactions in cross-border e-commerce payment platform | million | 9.17 | 39 | |||
Year-on-year increase in number of transactions in cross-border e-commerce payment platform | % | 19.49 | 39 | |||
Year-on-year increase of mobile phone banking users | % | 135 | 10 | |||
Year-on-year increase of online banking customers | % | 25 | 10 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|
Card issuance machines | 4 | 12 | 12 | 36 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
BCDMs | 277 | 359 | 365 | 423 | 36 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Bank's balance of on-balance sheet and off-balance sheet asset for Sino-Russia businesses | million RMB | 11511490 | 10 | |||
Bank’s loans to small and micro enterprises | billion RMB | 73.0498 | 17 | |||
Replacement rate of business transactions through electronic banking | % | 73 | 83 | 87 | 10, 35 | |
Replacement rate of business transactions through mobile banking | % | 24 | 39 | 45 | 35 | |
Self-service banking | 780 | 904 | 940 | 858 | 36 | |
Share of mobile banking in electronic banking | % | 45 | 10 | |||
Total amount processed in cross-border e-commerce payment and settlement platform | million RMB | 8040 | 39 |
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 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Capital adequacy ratio | % | 11.64 | 11.97 | 12.25 | 11 | |
Controlling village and township banks | 24 | 24 | 32 | 32 | 36 | |
Provision coverage ratio | % | 173.83 | 166.77 | 167.24 | 11 | |
Total tax | RMB million | 2788.8 | 3811.1 | 3445.03 | 11 | |
Year-on-year increase in net profit | % | 7 | 9 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|
Issue of non-scheduled announcements in both Chinese and English | copies | 45 | 54 | 38 | 28 | ||
Issue of regular reports in both Chinese and English | copies | 15 | 30 | 32 | 28 | ||
Meeting of Board of Supervisors (No.) | 9 | 4 | 4 | 5 | 6 | 27 | |
Meeting of committees of the Board of Supervisors (No.) | 1 | 6 | 4 | 6 | 7 | 27 | |
Meeting of special committees of the Board (No.) | 25 | 31 | 26 | 26 | 25 | 27 | |
Meeting of the Board (No.) | 8 | 11 | 8 | 6 | 7 | 27 |
Description of anti-corruption training provided to directors and staff.
Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|---|
2017 Top 1000 World Banks: ranked 217th | rank | 217 | 57 | ||||
2017 Top 500 Enterprises in China: ranked 417th | rank | 417 | 57 | ||||
2017 Top 500 Global Banking Brands: ranked 196th | rank | 196 | 57 | ||||
2017 World's 2000 Largest Public Companies: ranked 1130th | rank | 1130 | 57 | ||||
Meeting by independent Directors (No.) | 3 | 4 | 2 | 2 | 2 | 27 | |
Number of Chinese members in Sino-Russia Financial Council | 11 | 38 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Accumulated registered poor households with Harbin Bank's support | thousand people | 6.46 | 6.71 | 20 | ||
Branch-level financial service centre for small enterprises | 1 | 1 | 1 | 1 | 36 | |
Loans granted in 2017 (government education loan) | million RMB | 600 | 19 | |||
Loans to small enterprise owners | billion RMB | 28.3 | 17 | |||
Number of founding members in Sino-Russia Financial Council | 35 | 38 | ||||
Number of international commercial events organised or participated | 3 | 38 | ||||
Number of new members added to Sino-Russia Financial Council | 6 | 10 | ||||
Number of village and township banks in impoverished counties recognized by the central government | 7 | 7 | 10 | 10 | 19 | |
Outstanding loans (government education loan) | million RMB | 1500 | 19 | |||
Outstanding loans of village and township banks | thousand RMB | 530400 | 940849 | 1347682 | 1337356 | 19 |
People lifted from poverty | thousand people | 2.32 | 2.71 | 20 | ||
Ranking among Chinese-funded banks in The Banker of the United Kingdom | rank | 35 | 25 | |||
Ranking among the 25 commercial banks on the Top 500 Chinese Companies for 2017 list | rank | 23 | 25 | |||
Ranking in Brand Finance Banking 500 for the Year | rank | 195 | 25 | |||
Ranking in The Banker Top 1000 World Banks in terms of total tier 1 capital | rank | 217 | 25 | |||
Ranking in Top 500 Chinese Companies for 2017 by FORTUNE China | rank | 417 | 25 | |||
Ranking in World's 2000 Largest Public Companies by Forbes of the US | rank | 1130 | 25 | |||
Second tranche green bond category I coupon rate | % | 4.68 | 22 | |||
Second tranche green bond category I issuance size | billion RMB | 2 | 22 | |||
Second tranche green bond category I term | years | 3 | 22 | |||
Second tranche green bond category II coupon rate | % | 4.75 | 22 | |||
Second tranche green bond category II issuance size | billion RMB | 1 | 22 | |||
Second tranche green bond category II term | years | 5 | 22 | |||
Second tranche green bond over-subscription rate | times | 1.39 | 22 | |||
Second tranche green bond subscription amount | billion RMB | 1.74 | 22 | |||
Second tranche green bond total issue value | billion RMB | 3 | 22 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | Report Pages |
---|---|---|---|---|---|---|
Distribution of the balance of microcredit loans - Corporate loans to small enterprises | RMB10 million | 730498 | 18 | |||
Distribution of the balance of microcredit loans - Personal loans | RMB10 million | 1163758 | 18 | |||
Distribution of the balance of personal loans - Loans to farmers | RMB10 million | 101024 | 18 | |||
Distribution of the balance of personal loans - Loans to small enterprise owners | RMB10 million | 328415 | 18 | |||
Distribution of the balance of personal loans - Personal consumption loans | RMB10 million | 754319 | 18 | |||
Farmer-assistance e-stations - Stations set up | 1574 | 1800 | 1600 | 1300 | 37 | |
Impoverished student loans granted in 2017 | students | 24000 | 19 | |||
Increase in balance of asset businesses to Russia | million RMB | 2736 | 38 | |||
Increase in balance of asset businesses to Russia (percentage) | % | 31.25 | 38 | |||
Of which, balance of the targeted poverty alleviation loans in Heilongjiang | RMB100 million | 4.7 | 3.27 | 20 | ||
Total amount of Land Operating Rights secured loans granted | billion RMB | 4.4 | 17 | |||
Total charity donation | RMB'000 | 595 | 2319.7 | 2288.6 | 11 | |
Total credit granted by the Bank to Russian banks | million RMB | 1174170 | 10 | |||
Total value of green financial bonds issued by Harbin Bank | billion RMB | 5 | 22 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2016 | 2017 |
---|---|---|---|
Non-Hazardous Waste (Electronic Waste) | pieces | 243 | 6130 |
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 | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|
Diesel Fuel Consumption | litres | 2200 | 2800 | 2800 | 16499 |
Gasoline Consumption | litres | 30223 | |||
Natural Gas Consumption | cubic metres | 395288.84 | 248464.91 | 113262 | 92775 |
Purchased Electricity | kWh | 3750000 | 3880976 | 6654792 | 13468539 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|
Water Consumption | tonnes | 14803 | 15100 | 50600 | 58952 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|
Packaging Material Consumption (Paper) | tonnes | 8.4 | 7.3 | 7 | 55.6 |
Description of the significant climate-related issues which have impacted, and those which may impact, the issuer, and the actions taken to manage them.
Standard Indicator | Unit | 2017 |
---|---|---|
Investment in Climate Change Management | billion RMB | 2 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|
Number of Employees Aged 30-50 | person | 1620 | 1566 | 1816 | 1431 |
Number of Employees Aged Above 50 | person | 426 | 542 | 779 | 703 |
Number of Employees Aged Below 30 | person | 5362 | 5024 | 4374 | 4609 |
Number of Female Employees | person | 7408 | 7331 | 6989 | 6743 |
Number of Full-time Employees | person | 14816 | 14442 | 13958 | 13486 |
Number of Full-time Employees (Female) | person | 7408 | 7331 | 6989 | 6743 |
Number of Full-time Employees (Male) | person | 4182 | 4000 | 3913 | 3833 |
Number of Junior Management Employees | person | 941 | |||
Number of Male Employees | person | 4182 | 4000 | 3913 | 3833 |
Number of Senior Management Employees | person | 13 | |||
Number of Total Employees | Person | 7131 | 6969 | 6743 | |
Percentage of Female Employees | % | 56.38 | 55.75 | 56.84 |
Employee turnover rate by gender, age group and geographical region.
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|
Turnover Rate of Female Employees | % | 2.52 | 4.46 | 4.16 | 4.16 |
Turnover Rate of Male Employees | % | 2.4 | 5.13 | 5.38 | 4.16 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2013 | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|---|
Percentage of Trained Board of Directors | None | None | None | None | None |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 |
---|---|---|---|---|---|
Average Training Hours (Female) | training hour/person | 123 | 135 | 38.4 | 44 |
Average Training Hours (Male) | training hour/person | 101 | 122 | 38.4 | 44 |
Average Training Hours (Middle Management) | training hour/person | 52 | 174 | 170 | 45.3 |
Average Training Hours (Operational Employees) | training hour/person | 28.4 | 144 | 142 | 40.4 |
Average Training Hours (Senior Management) | training hour/person | 24.3 | 54 | 60 | 34.2 |
Average Training Hours (Technical Employees) | training hour/person | 60 | 342 | 338 | 51.2 |
Average Training Hours per Employee | hours | 41.2 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit |
---|---|
Complaints Handling Rate | % |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2015 | 2016 | 2017 |
---|---|---|---|---|
Total Public Welfare Donations | RMB'000 | 595 | 2319.7 | 2288.6 |