HARBIN BANK CO., LTD. 2018 ENVIRONMENTAL, SOCIAL AND GOVERNANCE REPORT
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 | 2014 | 2015 | 2016 | Report Pages |
---|---|---|---|---|---|
Sewage discharge (cubic metres) | cubic metres | 58952 | 50600 | 39744 | 54 |
Toner cartridge used (pieces) | pieces | 243 | 132 | 137 | 54 |
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 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Diesel consumption (litres) | litres | 2200 | 2850 | 2820 | 2700 | 2500 | 54 |
Investment in electricity, heating, gas and water | million RMB | 6130 | 33 | ||||
Investment in electricity, heating, gas and water as percentage of total investment | 47.42% | 33 | |||||
Natural gas consumption (cubic metres) | cubic metres | 395329 | 248465 | 113292 | 80394 | 34000 | 54 |
Petrol consumption (litres) | litres | 39223 | 34285 | 54 | |||
Power consumption (kWh) | kWh | 6854762 | 6036177 | 5627497 | 5880976 | 3750000 | 54 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Number of rural and reclaimable areas of 15 cities across China served | cities | 15 | 8 | ||||
Water consumption (tonnes) | tonnes | 58952 | 50600 | 40178 | 15100 | 14803 | 54 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Amount of green financial bonds launched with new projects | million RMB | 415 | 33 | ||||
Office paper consumption (tonnes) | tonnes | 8.4 | 7.3 | 7.9 | 9 | 9.88 | 54 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Investment in water, environment and public utility management | million RMB | 1957 | 33 |
Investment in water, environment and public utility management as percentage of total investment | 15.14% | 33 | |
LEED Silver Certification for Harbin Bank headquarters building | LEED Certification Level | Silver | 55 |
Total amount of green financial bonds raised | million RMB | 1597 | 33 |
Total investment amount in green projects funded by green financial bonds | million RMB | 2746 | 33 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Aged 35-45 | person | 1620 | 1566 | 1816 | 1431 | 2057 | 63 |
Aged above 45 | person | 426 | 542 | 779 | 703 | 966 | 63 |
Aged under 35 | person | 5302 | 5024 | 4374 | 4609 | 3705 | 63 |
Average return on equity | % | 12.68 | 12 | ||||
Average return on total assets | % | 0.94 | 12 | ||||
Branches | 17 | 17 | 17 | 17 | 17 | 45 | |
Full-time staff (Female) | person | 4182 | 4020 | 3913 | 3833 | 3856 | 63 |
Full-time staff (Male) | person | 3226 | 3111 | 3056 | 2910 | 2872 | 63 |
General and class meetings of shareholders (No. of meetings) | 1 | 1 | 1 | 1 | 3 | 17 | |
Headquarters business department | 1 | 1 | 45 | ||||
Junior management | person | 1478 | 781 | 948 | 1128 | 63 | |
Market share increase in national interbank market | % | 15 | 47 | ||||
Number of fund managers, analysts and reporters attending investor conference in Hong Kong | 100 | 18 | |||||
Number of members in Sino-Russia Financial Council | 70 | 8, 47 | |||||
Number of staff members in Leaders Programme talent pool | staff members | 2000 | 61 | ||||
Proportion of female management staff | % | 51.11 | 12 | ||||
Proportion of female staff | % | 57.3 | 12 | ||||
Ranked 217th in the 2018 Brand Finance China 500 and 32nd among 47 banks on the list | rank | 217 | 69 | ||||
Senior management | person | 12 | 15 | 13 | 16 | 63 | |
Technical staff | person | 6043 | 5607 | 5536 | 5336 | 5333 | 63 |
Total assets | RMB million, billion RMB | 615588.5 | 10, 12 | ||||
Total staff | Person | 6728 | 12 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Operating income | RMB million | 14325.4 | 12 | ||||
Staff turnover rate by age - Aged 35-45 | % | 0.73 | 3.08 | 3.1 | 3.7 | 64 | |
Staff turnover rate by age - Aged above 45 | % | 0.11 | 1.52 | 1.54 | 2.07 | 64 | |
Staff turnover rate by age - Aged under 35 | % | 4.04 | 6.02 | 5.68 | 6.88 | 64 | |
Staff turnover rate by gender - Female staff | % | 2.52 | 4.46 | 4.16 | 4.56 | 64 | |
Staff turnover rate by gender - Male staff | % | 2.4 | 5.13 | 5.38 | 6.09 | 64 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Internal training | session | 178 | 72 | 108 | 260 | 166 | 63 |
Number of market-recruited new employees completing pre-employment enclosed special training | employees | 66 | 62 | ||||
Operating management | person | 134 | 130 | 246 | 231 | 63 | |
Training for Directors and Supervisors (No. of sessions) | 3 | 3 | 2 | 2 | 2 | 17 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Average training hours by gender - Female staff | training hours/person | 123 | 135 | 44 | 32 | 64 | |
Average training hours by gender - Male staff | training hours/person | 101 | 122 | 38.4 | 27.2 | 64 | |
Branches - Junior management training hours per person | training hours/person | 174 | 170 | 45.3 | 42 | 23 | 64 |
Branches - Operating management training hours per person | training hours/person | 144 | 142 | 28.4 | 40.4 | 25 | 64 |
Branches - Technical staff training hours per person | training hours/person | 342 | 338 | 60 | 51.2 | 30.6 | 64 |
External training | session | 56 | 33 | 74 | 104 | 63 | |
Headquarters - Junior management training hours per person | training hours/person | 144 | 142 | 48 | 40.5 | 41 | 64 |
Headquarters - Operating management training hours per person | training hours/person | 96 | 95 | 38.1 | 39.7 | 26 | 64 |
Headquarters - Senior management training hours per person | training hours/person | 24.3 | 54 | 60 | 34 | 22.9 | 64 |
Headquarters - Technical staff training hours per person | training hours/person | 312 | 308 | 52 | 50.4 | 38 | 64 |
Number of campus-recruited new employees completing pre-employment enclosed special training | employees | 126 | 62 | ||||
Total training sessions | session | 19786 | 7771 | 4584 | 8200 | 6080 | 63 |
Total training sessions at various departments | session | 234 | 105 | 182 | 320 | 270 | 63 |
Number of suppliers by geographical region.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
% of total microcredit loans | % | 65.2 | 75.3 | 83.2 | 80.6 | 71.2 | 40 |
% of total personal loans | % | 53.48 | 55.05 | 63.08 | 61.84 | 63.9 | 40 |
Accumulated poverty alleviation loans distributed | million RMB | 2567 | 27 | ||||
Accumulated targeted poverty alleviation loans granted | RMB100 million | 23 | 24.62 | 25.67 | 28 | ||
Balance of agricultural loan | billion RMB | 1245 | 41 | ||||
Balance of agricultural loans | RMB billion | 42.5 | 8 | ||||
Balance of deposit | billion RMB | 1151.5 | 41 | ||||
Balance of loans to small enterprise owners | billion RMB | 32.865 | 43 | ||||
Balance of microfinance | RMB billion | 180.751 | 8 | ||||
Balance of targeted poverty alleviation loans | million RMB | 231 | 27 | ||||
Balance of targeted poverty alleviation loans in Heilongjiang | million RMB | 178 | 27 | ||||
Balance of the Bank’s corporate loans to small enterprises | billion RMB | 865.327 | 43 | ||||
Balance of the targeted poverty alleviation loans | RMB100 million | 6.01 | 4.31 | 2.21 | 28 | ||
Corporate loans to small enterprises (distribution of the balance of microcredit loans) | RMB100 million | 730.498 | 653.273 | 40 | |||
Green credit balance | RMB million | 1889 | 12 | ||||
Green credit clients (household) | 11 | 18 | 42 | 47 | 62 | 31 | |
Green credit granting balance | RMB100 million, million RMB | 5.69 | 7.52 | 15.87 | 18.82 | 1889 | 31, 33 |
Green credit granting balance as percentage of green credit balance | 0.74% | 33 | |||||
Microcredit balance | RMB million | 180715.1 | 12 | ||||
NPL ratio | % | 1.73 | 12 | ||||
NPL ratio of the Bank | % | 1.73 | 20 | ||||
Number of business outlets with branches and sub-branches | 368 | 15 | |||||
Number of cross-border e-commerce customers based in multiple regions | 2186 | 10 | |||||
Number of green credit clients | 18 | 33 | |||||
Number of green projects invested by green financial bonds | 20 | 33 | |||||
Number of rural service points | 38 | 38 | 42 | 43 | 41 | ||
Number of rural service points for the underprivileged and impoverished | 14 | 14 | 18 | 19 | 41 | ||
Physical outlets - total | 332 | 352 | 355 | 363 | 368 | 45 | |
Proportion of corporate loans to small enterprises | % | 47.2 | 43 | ||||
Sub-branches | 261 | 274 | 279 | 277 | 281 | 45 | |
Sub-branches of village and township banks | 29 | 36 | 34 | 35 | 36 | 45 | |
Total deposits of customers | billion RMB | 965.5 | 10 | ||||
Total microcredit loans balance | billion RMB | 180.7 | 39 | ||||
Year-on-year increase in loans to farmers | % | 27.8 | 8 | ||||
balance of loans of HBQF | million RMB | 703 | 44 | ||||
balance of personal consumption loans | million RMB | 669615 | 44 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
ATMs | 342 | 321 | 344 | 372 | 381 | 45 | |
Amount of personal loans | RMB100 million | 432.277 | 615.964 | 1057.933 | 1183.758 | 1153.878 | 40 |
Clients of village and township banking services | Account | 446391 | 12 | ||||
Corporate online banking customers | 10000 | 1.88 | 4.73 | 7 | 8.2 | 9.04 | 46 |
Cross-border e-commerce platform transaction amount | billion RMB | 8.47 | 10 | ||||
Cross-border transactions in RMB cash | RMB million | 40 | 47 | ||||
Cross-border transactions in Rouble cash | RUB million | 60 | 47 | ||||
Cross-border transactions in Russia | million RMB | 40 | 10 | ||||
Customer complaint handling rate | 100% | 46 | |||||
Multi-media inquiry machines | 159 | 160 | 161 | 102 | 94 | 45 | |
Number of calls from investors responded to by the Company | 90 | 18 | |||||
Number of mobile phone banking customers | 10000 people | 10 | 32 | 52 | 75.72 | 117.22 | 46 |
Number of overseas institutional investors, analysts from investment banks and security firms met during roadshows | 50 | 18 | |||||
Number of wealth management customers | 500 | 39 | |||||
Personal consumption loans (distribution of the balance of personal loans) | RMB100 million | 754.319 | 690.152 | 40 | |||
Personal loans (distribution of the balance of microcredit loans) | RMB100 million | 1183.758 | 1153.878 | 40 | |||
Personal online banking customers | 10000 | 50.68 | 90.04 | 138.09 | 173.98 | 221.16 | 46 |
Platform transaction amount for cross-border E-commerce financial business | RMB billion | 7.84 | 47 | ||||
Proportion of microcredit loans to total loans | % | 71.2 | 39 | ||||
Rouble foreign exchange handled | RUB million | 588758 | 47 | ||||
Total business capacity of phone banking | 10000 business calls | 234 | 230 | 245.7 | 315.58 | 451.19 | 46 |
Total customers (Online banking) | 10000 | 52.56 | 94.77 | 145.09 | 182.18 | 230.2 | 46 |
Year-on-year increase in platform transaction amount for cross-border E-commerce financial business | % | 24.25 | 47 | ||||
Year-on-year increase in retail deposits | million customers | 1.4874 | 39 | ||||
Year-on-year increase in retail deposits (percentage) | % | 13.82 | 39 | ||||
Year-on-year increase in wealth management customers | % | 217.3 | 39 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|
Card issuance machines | 4 | 12 | 12 | 13 | 45 |
Description of quality assurance process and recall procedures.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
BCDMs | 277 | 359 | 395 | 423 | 475 | 45 | |
Smart cabinets | 134 | 45 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Bank ranking among Chinese-funded banks on the 'Top 1000 World Banks' list | 34 | 15 | |||||
Bank ranking among the 'Top 1000 World Banks' | 207 | 15 | |||||
Bank ranking in the 'Top 300 of Most Valuable Chinese Brands' | 217 | 15 | |||||
Bank ranking in the 'Top 500 Chinese Companies' | 489 | 15 | |||||
Followers of WeChat banking | 10000 people | 14 | 30 | 85 | 160.95 | 222.44 | 46 |
Replacement rate of business transactions through Bank's electronic banking | % | 91 | 39 | ||||
Replacement rate of business transactions through electronic banking | % | 73 | 83 | 87 | 91 | 10, 39 | |
Replacement rate of business transactions through mobile banking | % | 24 | 39 | 45 | 51 | 10, 39 | |
Self-service banking - total | 780 | 904 | 940 | 858 | 1058 | 45 |
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 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Capital adequacy ratio | % | 12.15 | 12 | ||||
Controlling village and township banks | 24 | 32 | 32 | 32 | 32 | 45 | |
Deviation of loan classification | % | 96.21 | 20 | ||||
Dual-currency international syndicate inter-bank loan project line of credit | USD million | 400 | 47 | ||||
Provision coverage ratio | % | 169.88 | 12 | ||||
Ruble foreign exchange handled | billion RMB | 8.7 | 10 | ||||
Total tax | RMB million | 3462.11 | 12 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Meeting of special committees of the Board of Supervisors (No. of meetings) | 4 | 6 | 4 | 6 | 13 | 17 | |
Meeting of the Board (No. of meetings) | 25 | 26 | 28 | 26 | 31 | 17 | |
Meeting of the Board of Supervisors (No. of meetings) | 6 | 9 | 6 | 6 | 9 | 17 | |
Meeting of the special committees of the Board (No. of meetings) | 26 | 28 | 26 | 28 | 33 | 17 | |
Survey and investigation by Independent Directors (No.) | 3 | 3 | 4 | 3 | 3 | 17 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|
Accumulated registered poor households with Harbin Bank's support | thousand people | 6.46 | 6.71 | 6.96 | 28 | |
Branch-level financial service centre for small enterprises | 1 | 1 | 1 | 1 | 45 | |
Donation to Harbin Institute of Technology Education Foundation of Development | million RMB | 2.3 | 66 | |||
Donation to Heilongjiang Youth Development Foundation for Hope Project Dream Realisation Campaign | million RMB | 2 | 67 | |||
Investment by Suibin branch in poverty alleviation for development of 'Lettuce Vegetable Garden Project' and animal husbandry projects | RMB | 1000000 | 30 | |||
Investment in Shuanglong Village poverty alleviation fund | RMB | 600000 | 29 | |||
Length of sand brick road built by Suibin branch poverty alleviation projects | km | 1.45 | 30 | |||
Loans outstanding | billion RMB | 853.8 | 10 | |||
Loans to farmers | RMB billion, billion RMB | 13 | 8, 41 | |||
Loans to farmers (distribution of the balance of personal loans) | RMB100 million | 101.024 | 129.074 | 40 | ||
Loans to small enterprise owners (distribution of the balance of personal loans) | RMB100 million | 328.415 | 328.652 | 40 | ||
Number of 'Wealth Management Experts' activities organised | activities | 17 | 67 | |||
Number of Ha Run e Generation Club members finishing full or half length of the marathon | people | 100 | 60 | |||
Number of Ha Run e Generation Club members participating in the third Harbin International Marathon | people | 1000 | 60 | |||
Number of accumulated people lifted from poverty | 30500 | 27 | ||||
Number of beneficiaries of Happy Community – Innovative Micro-Charity project | beneficiaries | 3300 | 66 | |||
Number of events held under Happy Community Programme | events | 600 | 66 | |||
Number of financial consumer education activities organised | activities | 410 | 67 | |||
Number of founding members in Sino-Russia Financial Council | 53 | 8 | ||||
Number of households benefited by Suibin branch poverty alleviation projects | households | 110 | 30 | |||
Number of marathon enthusiasts at the third Harbin International Marathon | people | 30000 | 60 | |||
Number of participants in Happy Community Programme | participants | 25000 | 66 | |||
Number of participants in the 17th Race Walking Competition sponsored by Harbin Bank | participants | 30000 | 56 | |||
Number of poverty-stricken students supported for National Higher Education Entrance Examination | students | 821 | 66 | |||
Number of students given internship opportunity at Harbin Bank under Hope Project Dream Realisation Campaign | students | 20 | 67 | |||
Number of village and township banks in impoverished counties recognized by the central government | 7 | 10 | 10 | 10 | 41 | |
Number of villages benefited by Suibin branch poverty alleviation projects | villages | 4 | 30 | |||
Outstanding government education loans | million RMB | 1812 | 42 | |||
Outstanding loans of village and township banks (RMB'000) | RMB'000 | 1030349 | 1147356 | 1260974 | 1260974 | 41 |
Participation in 3rd Harbin International Marathon | people | 30000 | 34 | |||
People lifted from poverty | thousand people | 2.37 | 2.71 | 3.03 | 28 | |
Proportion of loans to small enterprise owners of personal loans | % | 28.5 | 43 | |||
Top 1000 World Banks 2018: ranked 270th and ranked 34th in China | rank | 270 | 69 | |||
Top 500 Chinese Companies for 2018: ranked 489th | rank | 489 | 69 | |||
Total investment in Happy Community Programme | million RMB | 2.15 | 66 | |||
outstanding granting of loans of HBQF | million RMB | 2900 | 44 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Accumulated investments by Harbin Bank Financial Leasing Co., Ltd. | million RMB | 12192.97 | 33 | ||||
Amount of government education loans granted | million RMB | 596 | 42 | ||||
Amount of microcredit loans | RMB100 million | 808.329 | 1118.941 | 1677.005 | 1914.258 | 1807.151 | 40 |
Donation amount for National Higher Education Entrance Examination support | RMB | 845000 | 66 | ||||
Donation by Chengdu branch to Dege County, Sichuan Province | RMB | 30000 | 30 | ||||
Donation by Chengdu branch to Rangtang County, Aba Prefecture, Sichuan Province | RMB | 25000 | 30 | ||||
Economic contribution to Harbin from the 2018 marathon session | million RMB | 200 | 34 | ||||
Funds of nearly RMB1.5 million into poverty alleviation for rural areas | million RMB | 1.5 | 27 | ||||
Increase in average income per household from Holland No. 15 Greenhouse-grown Potato Project in Shuanglong Village | RMB | 2000 | 29 | ||||
Investment in agriculture | million RMB | 1481.4 | 33 | ||||
Investment in agriculture as percentage of total investment | 10.86% | 33 | |||||
Number of Harbin Bank employees participating in the 17th Race Walking Competition | employees | 300 | 56 | ||||
Number of people benefited by Suibin branch poverty alleviation projects | people | 350 | 30 | ||||
Number of people covered by 'Wealth Management Experts' activities | people | 8000 | 67 | ||||
Number of people lifted from poverty for the year | 3212 | 27 | |||||
Number of people lifted from poverty with Bank's support | 69300 | 27 | |||||
Number of poor households helped to sign 'Join with capital investment' agreements in Shuanglong Village | households | 43 | 29 | ||||
Number of poor households involved in Holland No. 15 Greenhouse-grown Potato Project in Shuanglong Village | households | 15 | 29 | ||||
Number of public welfare services provided under Happy Community – Innovative Micro-Charity project | public welfare services | 180 | 66 | ||||
Number of registered people with Bank's support reached | 5365 | 27 | |||||
Number of undergraduate students awarded scholarships under Hope Project Dream Realisation Campaign | students | 80 | 67 | ||||
Number of underprivileged students newly signed contracts | 20000 | 42 | |||||
Of which, balance of the targeted poverty alleviation loans in Heilongjiang | RMB100 million | 4.17 | 3.27 | 1.78 | 28 | ||
Poverty alleviation loans distributed for the year | million RMB | 1805 | 27 | ||||
Total amount of loans | billion RMB | 1126 | 41 | ||||
Total charity donation | RMB/0000 | 1517.6 | 12 | ||||
Total value of green financial bonds issued | billion RMB | 5 | 33 |
The types of emissions and respective emissions data.
Standard Indicator | Unit |
---|---|
Airborne Particulate Matter (PM) Emissions | tons |
NOâ‚“ Emissions | tons |
SOâ‚“ Emissions | tons |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit |
---|---|
Hazardous Waste Disposed | tons |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2014 | 2015 | 2016 |
---|---|---|---|---|
Non-Hazardous Waste (Electronic Waste) | pieces | 243 | 132 | 137 |
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 | 2018 |
---|---|---|---|---|---|---|
Diesel Fuel Consumption | litres | 2200 | 2850 | 2820 | 2700 | 2500 |
Gasoline Consumption | litres | 39223 | 34285 | |||
Natural Gas Consumption | cubic metres | 395329 | 248465 | 113292 | 80394 | 34000 |
Purchased Electricity | kWh | 6854762 | 6036177 | 5627497 | 5880976 | 3750000 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|---|
Water Consumption | tonnes | 58952 | 50600 | 40178 | 15100 | 14803 |
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 | 2018 |
---|---|---|---|---|---|---|
Packaging Material Consumption (Paper) | tonnes | 8.4 | 7.3 | 7.9 | 9 | 9.88 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
Standard Indicator | Unit | 2018 |
---|---|---|
Total Investment in Ecological Restoration | million RMB | 1957 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|---|
Number of Employees Aged 30-50 | person | 1620 | 1566 | 1816 | 1431 | 2057 |
Number of Employees Aged Above 50 | person | 426 | 542 | 779 | 703 | 966 |
Number of Employees Aged Below 30 | person | 5302 | 5024 | 4374 | 4609 | 3705 |
Number of Female Employees | person | 4182 | 4020 | 3913 | 3833 | 3856 |
Number of Full-time Employees | person | 7408 | 7131 | 6969 | 6743 | 6728 |
Number of Full-time Employees (Female) | person | 4182 | 4020 | 3913 | 3833 | 3856 |
Number of Full-time Employees (Male) | person | 3226 | 3111 | 3056 | 2910 | 2872 |
Number of Junior Management Employees | person | 1478 | 781 | 948 | 1128 | |
Number of Male Employees | person | 3226 | 3111 | 3056 | 2910 | 2872 |
Number of Senior Management Employees | person | 12 | 15 | 13 | 16 | |
Number of Total Employees | person | 7408 | 7131 | 6969 | 6743 | 6728 |
Percentage of Female Employees | % | 57.3 | ||||
Percentage of Female Management Employees | % | 51.11 |
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 | 4.56 |
Turnover Rate of Male Employees | % | 2.4 | 5.13 | 5.38 | 6.09 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|---|
Percentage of Trained Senior Management | None | None | None | None | None |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 |
---|---|---|---|---|---|---|
Average Training Hours (Female) | training hours/person | 123 | 135 | 44 | 32 | |
Average Training Hours (Male) | training hours/person | 101 | 122 | 38.4 | 27.2 | |
Average Training Hours (Middle Management) | training hours/person | 174 | 170 | 45.3 | 42 | 23 |
Average Training Hours (Operational Employees) | training hours/person | 144 | 142 | 28.4 | 40.4 | 25 |
Average Training Hours (Senior Management) | training hours/person | 24.3 | 54 | 60 | 34 | 22.9 |
Average Training Hours (Technical Employees) | training hours/person | 342 | 338 | 60 | 51.2 | 30.6 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2018 |
---|---|---|
Complaints Handling Rate | % | 100 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 |
---|---|---|
Investment in Education Donation | million RMB | 0.596 |
Investment in Targeted Poverty Alleviation | million RMB | 1805 |
Number of Employees Participating in Volunteer Activities | employees | 300 |
Number of Volunteer Activities Sessions | public welfare services | 180 |
Total Public Welfare Donations | million RMB | 15.176 |