China CITIC Bank 2018 Sustainability Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Balance of loans to Production and supply of power, gas and water sector | RMB100 million | 457.72 | 460.8 | 36 |
| Loan balance to aluminum smelting industry (high pollution, high energy consumption and overcapacity) | RMB100 million | 89.2 | 81.02 | 50 |
| Loan balance to cement industry (high pollution, high energy consumption and overcapacity) | RMB100 million | 36.58 | 18.57 | 50 |
| Loan balance to coke industry (high pollution, high energy consumption and overcapacity) | RMB100 million | 28.01 | 50 | |
| Loan balance to copper smelting industry (high pollution, high energy consumption and overcapacity) | RMB100 million | 10.95 | 4.46 | 50 |
| Loan balance to lead and zinc smelting industry (high pollution, high energy consumption and overcapacity) | RMB100 million | 10.68 | 3.45 | 50 |
| Loan balance to steel industry (high pollution, high energy consumption and overcapacity) | RMB100 million | 181.09 | 225.15 | 50 |
| Loan balance to thermal power generation industry (high pollution, high energy consumption and overcapacity) | RMB100 million | 100.59 | 105.05 | 50 |
| Nitrogen oxides discharged | ton | 1.23 | 1.05 | 54 |
| Sulphur dioxide discharged | ton | 0.03 | 0.03 | 54 |
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 | Report Pages |
|---|---|---|---|---|
| A4 copy paper purchased by Bank, CO2 equivalent emissions | ton CO2 equivalent | 1212.88 | 56 | |
| A4 copy paper purchased by Group, CO2 equivalent emissions | ton CO2 equivalent | 1305.76 | 56 | |
| Change in greenhouse gas emissions per capita from previous year | % | -4.64 | 6 | |
| Change in total greenhouse gas emissions from previous year | % | -5.13 | 6 | |
| Direct greenhouse gas emissions (Category I) | ton | 7350.59 | 7474.59 | 55 |
| Greenhouse gas emissions per RMB100 million income | ton/RMB100 million | 124.99 | 112.72 | 55 |
| Greenhouse gas emissions per capita | tons per capita | 3.29 | 6 | |
| Greenhouse gas emissions per square meter of floor area | ton/square meter | 0.06 | 0.08 | 55 |
| Indirect greenhouse gas emissions (Category II) | ton | 188521.2 | 178356.63 | 55 |
| Number of outlets included in carbon footprint management | 1410 | 6 | ||
| Per capita greenhouse gas emissions | ton/person | 3.45 | 3.29 | 55 |
| Total greenhouse gas emissions | tons | 185800 | 6 | |
| Total greenhouse gas emissions (Category I and Category II) | ton | 195871.79 | 185831.22 | 55 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Per capita hazardous wastes | ton/person | 0.0024 | 0.0062 | 55 |
| Total hazardous wastes | ton | 137.85 | 348.57 | 55 |
| Total hazardous wastes per RMB100 million income | ton/RMB100 million | 0.09 | 0.21 | 55 |
| Total hazardous wastes per square meter of floor area | ton/square meter | 0.00005 | 0.00014 | 55 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Per capita A4 copy paper purchased by Bank | packs | 9.56 | 56 | |
| Per capita A4 copy paper purchased by Group | packs | 9.68 | 56 | |
| Per capita harmless wastes | ton/person | 0.025 | 0.023 | 55 |
| Total harmless wastes | ton | 1434.72 | 1279.09 | 55 |
| Total harmless wastes per RMB100 million income | ton/RMB100 million | 0.92 | 0.78 | 55 |
| Total harmless wastes per square meter of floor area | ton/square meter | 0.0005 | 0.0005 | 55 |
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 | Report Pages |
|---|---|---|---|---|
| Diesel for facilities | 153.56 | 137.42 | 55, 56 | |
| Direct energy consumption | MWh | 31130.83 | 33510.09 | 56 |
| Energy consumption per RMB100 million income | MWh/RMB100 million | 192.63 | 176.54 | 56 |
| Energy consumption per square meter of floor area | 0.1 | 0.12 | 55 | |
| Fuel consumption of official vehicles | million liters | 4423.86 | 4483.29 | 54, 55, 56 |
| Gas | 44.04 | 377.5 | 55, 56 | |
| Indirect energy consumption | MWh | 270738.96 | 257528.57 | 56 |
| Liquefied petroleum gas | 710.41 | 285.23 | 55, 56 | |
| Natural gas | 10324.05 | 2619.2 | 55, 56 | |
| Per capita energy consumption | MWh/person | 5.32 | 5.16 | 55 |
| Purchased electricity | MWh | 188521.2 | 257528.57 | 54, 55, 56 |
| Total energy consumption | MWh | 301869.79 | 291038.66 | 55 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Per capita tap water consumption | ton/person | 37.07 | 39.06 | 56 |
| Tap water consumption | ton | 2102507.09 | 2203528.41 | 56 |
| Tap water consumption per RMB100 million income | ton/RMB100 million | 1341.67 | 1336.65 | 56 |
| Tap water consumption per square meter of floor area | ton/square meter | 0.7 | 0.91 | 56 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Substitution rate for paper statements | 96.09% | 56 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| A4 copy paper purchased by Bank | packs | 507500 | 56 | |
| A4 copy paper purchased by Bank, percent of total | 0.81% | 56 | ||
| A4 copy paper purchased by Group | packs | 546300 | 56 | |
| Total packing materials used by finished products | ton | 30.85 | 240.26 | 56 |
| Total packing materials used by finished products per RMB100 million income | ton/RMB100 million | 0.02 | 0.15 | 56 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Share in corporate loans to lead and zinc smelting industry (high pollution, high energy consumption and overcapacity) | % | 0.06 | 0.02 | 50 |
| Share in corporate loans to steel industry (high pollution, high energy consumption and overcapacity) | % | 1.09 | 1.34 | 50 |
| Share in corporate loans to thermal power generation industry (high pollution, high energy consumption and overcapacity) | % | 0.61 | 0.63 | 50 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Amount of project financing provided by domestic branches and cross-border collaboration (CITIC Bank International and CNCB Investment) | RMB billion | 221.279 | 63 | |
| Annual general meetings of shareholders convened | 1 | 19 | ||
| Annual leave taken as percentage of entitled leave | % | 63.07 | 66 | |
| Annual leave taken by employees | days | 285800 | 66 | |
| Average overtime hours per employee | hours | 38.99 | 66 | |
| Basic-level employees | employees | 47905 | 46753 | 64 |
| Branch managerial employees | employees | 4952 | 5867 | 64 |
| Decrease in other leave taken per employee | days | 1.41 | 66 | |
| Employees dispatched to the Bank or hired with letters of engagement | employees | 4089 | 3144 | 64 |
| Employees under labor contract with the Bank | employees | 49257 | 49956 | 64 |
| Ethnic-minority employees | employees | 2433 | 2434 | 64 |
| Extraordinary general meetings of shareholders convened | 2 | 19 | ||
| Female employees | employees | 28316 | 28347 | 64 |
| Growth in balance of green loans | % | 4.27 | 8 | |
| Growth in number of loan customers (inclusive small and micro businesses) | % | 37.23 | 8 | |
| Growth in proportion of loans to inclusive small and micro businesses compared to overall loans | percentage points | 35 | 8 | |
| Head Office managerial employees | employees | 489 | 480 | 64 |
| Male employees | employees | 25030 | 24726 | 64 |
| Number of employees | 60000 | 12 | ||
| Number of employees in western regions | 7264 | 9 | ||
| Number of small and micro business customers | 10000 | 5.99 | 8.22 | 41 |
| Proportion of employees in western regions | % | 13.68 | 9 | |
| Rank among Top 2000 Global Companies (Forbes) | rank | 85 | 83 | |
| Rank among Top 500 Global Bank Brands (The Banker) | rank | 24 | 83 | |
| Rank on tier-one capital among Top 1000 World Banks (The Banker) | rank | 27 | 83 | |
| Total assets | RMB billion, RMB trillion | 6066.714 | 12, 31 | |
| Total headcount | employees | 53346 | 53100 | 64 |
Employee turnover rate by gender, age group and geographical region.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Decrease in overtime hours per employee | hours | 9.65 | 66 |
| Decrease in overtime hours per employee (percentage) | % | -0.28 | 66 |
| Operating income | RMB billion | 164.854 | 8, 31 |
| Other leave taken (marital, personal, sick, funeral) | days | 230500 | 66 |
| Other leave taken per employee | days | 4.09 | 66 |
| Total overtime hours (Group) | hours | 2199700 | 66 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Occupational fatality cases | cases | 1 | 66 |
| Work-related injury cases (sports, workplace, commutes, business trips) | cases | 56 | 66 |
Lost days due to work injury.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Days off work due to work-related injuries | days | 2562.5 | 66 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Health checkups (person-times) | person-times | 51200 | 66 |
| Increase in health checkups over previous year | % | 7.47 | 66 |
| Minimum number of security guards per outlet | security guards | 2 | 59 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Investment to improve employees’ professional skills and qualities | RMB | 108602000 | 7 | |
| Number of internal trainers selected and trained at Head Office level | trainers | 112 | 68 | |
| Number of on-site trainings for risk compliance culture | trainings | 2 | 42 | |
| Number of special courses on 19th CPC National Congress | 19 | 31 | ||
| Number of training sessions held | training sessions | 5309 | 68 | |
| Research on main companies in Xiong'an New Area (Beijing-Tianjin-Hebei coordination) | companies | 200 | 32 | |
| Total number of participants (person-time) | person-time | 600533 | 603093 | 69 |
| Total training cost | RMB10000 | 8464.19 | 10860.2 | 69 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Increase in investment to improve employees’ professional skills and qualities | % | 28.31 | 7 | |
| Number of person-times for training and authorizing key management personnel | person-times | 800 | 44 | |
| Times of training per employee (person-time) | person-time | 12.34 | 11.36 | 69 |
| Training cost per capita | RMB | 1586.66 | 2045.23 | 69 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Balance of green loans | RMB billion | 62.937 | 8, 49 | |
| Balance of loans - Central region | RMB100 million | 4211.6 | 4631 | 37 |
| Balance of loans - Eastern region | RMB100 million | 20652.7 | 23814.86 | 37 |
| Balance of loans - Northeastern region | RMB100 million | 996.93 | 966.99 | 37 |
| Balance of loans - Western region | RMB100 million | 3891.52 | 4331.43 | 37 |
| Balance of loans to Construction sector | RMB100 million | 762.82 | 784.31 | 36 |
| Balance of loans to Leasing and business services sector | RMB100 million | 2184.12 | 2796 | 36 |
| Balance of loans to Manufacturing sector | RMB100 million | 3032.18 | 2777.56 | 36 |
| Balance of loans to Others sector | RMB100 million | 2114.51 | 2017.05 | 36 |
| Balance of loans to Public and social organizations sector | RMB100 million | 181.73 | 131.16 | 36 |
| Balance of loans to Real estate development sector | RMB100 million | 2920.55 | 2897.5 | 36 |
| Balance of loans to Transportation, warehousing and postal services sector | RMB100 million | 1465.74 | 1456.46 | 36 |
| Balance of loans to Water conservancy, environment and public utility management sector | RMB100 million | 1702.35 | 2016.32 | 36 |
| Balance of loans to Wholesale and retail sector | RMB100 million | 1775.26 | 1429.81 | 36 |
| Balance of loans to inclusive small and micro businesses | RMB billion | 136.353 | 8 | |
| Balance of loans to western regions | billion RMB | 33.143 | 9 | |
| Balance of small and micro business loans | RMB100 million | 918.5 | 1363.53 | 41 |
| Change in interest rate (inclusive small and micro businesses) | percentage points | -0.22 | 8 | |
| Credit facility guaranteed by Nanjing Branch for overseas acquisition (amphibious aircraft project) | million RMB | 150 | 32 | |
| Decrease in number of outlets compared with previous year | outlets | -25 | 59 | |
| Increase in balance of loans to western regions | % | 11.3 | 9 | |
| Lending rate (small and micro business loans) | % | 6.32 | 6.1 | 41 |
| NPL ratio | % | 1.77 | 8 | |
| Number of corporate online banking transactions (10000) | 10000 | 7547.54 | 7556.79 | 51 |
| Number of loan customers (inclusive small and micro businesses) | 82200 | 8 | ||
| Number of main suppliers in the Chinese mainland | 38 | 63 | ||
| Number of outlets in large and mid-sized cities of the Chinese mainland | outlets | 1410 | 59 | |
| Number of outlets in western regions | 254 | 9 | ||
| Outstanding loans to entities for poverty alleviation | billion RMB | 3.854 | 70 | |
| Outstanding loans to individuals for poverty alleviation | billion RMB | 3.039 | 70 | |
| Outstanding loans to precision poverty alleviation through finance | billion RMB | 6.893 | 70 | |
| Proportion of outlets in western regions | % | 18.01 | 9 | |
| Total assets growth rate | % | 6.85 | 31 | |
| Total loan balance to high pollution, high energy consumption and overcapacity industries | RMB100 million | 457.1 | 437.7 | 50 |
| Total loans - All regions | RMB100 million | 29752.75 | 33744.28 | 37 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Acquisition stake in Altyn Bank | % | 60 | 31 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Number of new registered suppliers who submitted environmental and social responsibility documents | 223 | 62 | ||
| Share in corporate loans to aluminum smelting industry (high pollution, high energy consumption and overcapacity) | % | 0.54 | 0.48 | 50 |
| Share in corporate loans to cement industry (high pollution, high energy consumption and overcapacity) | % | 0.22 | 0.11 | 50 |
| Share in corporate loans to coke industry (high pollution, high energy consumption and overcapacity) | % | 0.17 | 50 | |
| Share in corporate loans to copper smelting industry (high pollution, high energy consumption and overcapacity) | % | 0.07 | 0.03 | 50 |
| Total share in corporate loans to high pollution, high energy consumption and overcapacity industries | % | 2.75 | 2.61 | 50 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of counterfeit RMB banknotes confiscated | banknotes | 16825 | 39 |
| Operating income growth rate | % | 5.2 | 8, 31 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Amount of corporate online banking transactions | RMB100 million | 695965.67 | 784195.42 | 51 |
| Amount of integrated financing services provided through group-wide collaboration | RMB billion | 625.8 | 63 | |
| Customer complaint rate | per ten thousand | 2.53 | 7, 60 | |
| Decrease in total amount of counterfeit banknotes confiscated compared to previous year | percent | -13.74 | 39 | |
| Direct earnings created for customers by finance products | RMB | 705260000 | 7 | |
| Increase in direct earnings for customers | % | 54.47 | 7 | |
| Number of customer complaints handled | complaints | 99531 | 60 | |
| Number of financing projects carried out through parent-subsidiary collaboration | 13 | 63 | ||
| Number of personal mobile banking customers (10000) | 10000 | 2732.63 | 3669.97 | 51 |
| Number of self-service terminals | terminals | 7053 | 59 | |
| Number of transactions exempted from service charges for personal RMB accounts | transactions | 1812100 | 62 | |
| Number of transactions of service charges for personal RMB accounts waived | transactions | 1812000000 | 7 | |
| Percentage decrease in number of outlets compared with previous year | % | -1.74 | 59 | |
| Percentage decrease in number of self-service terminals | % | -24.12 | 59 | |
| Privately raised bonds issued in Hong Kong for R&D funding (Nanjing Branch, amphibious aircraft project) | million EUR | 150 | 32 | |
| Proportion of loans - All regions | % | 100 | 100 | 37 |
| Proportion of loans - Central region | % | 14.16 | 13.72 | 37 |
| Proportion of loans - Eastern region | % | 69.41 | 70.57 | 37 |
| Proportion of loans - Northeastern region | % | 3.35 | 2.87 | 37 |
| Proportion of loans - Western region | % | 13.08 | 12.84 | 37 |
| Proportion of loans to Construction sector | % | 4.6 | 4.68 | 36 |
| Proportion of loans to Leasing and business services sector | % | 13.16 | 16.68 | 36 |
| Proportion of loans to Manufacturing sector | % | 18.27 | 16.57 | 36 |
| Proportion of loans to Others sector | % | 12.74 | 12.03 | 36 |
| Proportion of loans to Production and supply of power, gas and water sector | % | 2.76 | 2.75 | 36 |
| Proportion of loans to Public and social organizations sector | % | 1.09 | 0.78 | 36 |
| Proportion of loans to Real estate development sector | % | 17.6 | 17.28 | 36 |
| Proportion of loans to Transportation, warehousing and postal services sector | % | 8.83 | 8.69 | 36 |
| Proportion of loans to Water conservancy, environment and public utility management sector | % | 10.26 | 12.03 | 36 |
| Proportion of loans to Wholesale and retail sector | % | 10.7 | 8.53 | 36 |
| Proportion of loans to inclusive small and micro businesses | % | 48.45 | 8 | |
| Proportion of loans to western regions | % | 12.84 | 9 | |
| Reduction in customer complaint rate | percentage points | 0.0031 | 7 | |
| Service value reduced for personal RMB accounts | RMB | 1245000000 | 7 | |
| Total profit growth rate | % | 3.92 | 8, 31 | |
| Year-on-year change in customer complaint rate | percentage point | 0.0031 | 60 | |
| Year-on-year increase in customer complaints handled | % | 17.86 | 60 | |
| increase in direct income from wealth management products | % | 54.47 | 61 |
Description of quality assurance process and recall procedures.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Service charges exempted for personal RMB accounts | billion RMB | 1.254 | 62 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Amount of personal mobile banking transactions | RMB100 million | 42323.68 | 62897.23 | 51 |
| Amount of personal online banking transactions | RMB100 million | 123758.07 | 111310.65 | 51 |
| Bank credit card statements issued | 309000000 | 56 | ||
| Number of information security regulations newly established or revised | regulations | 8 | 59 | |
| Number of personal online banking customers (10000) | 10000 | 2750.95 | 3804.89 | 51 |
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 | 2018 | Report Pages |
|---|---|---|---|
| A-class shareholders class meetings convened | 1 | 19 | |
| Decrease in number of counterfeit RMB banknotes confiscated compared to previous year | percent | -17.02 | 39 |
| Number of dynamic adjustments for authorization | 47 | 44 | |
| Provision coverage | % | 157.98 | 8 |
| Provision coverage ratio | % | 157.98 | 31 |
| Total amount of counterfeit banknotes confiscated | million RMB | 1.337 | 39 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Duration of Party member study | million hours | 1.945 | 31 |
| H-class shareholders class meetings convened | 1 | 19 | |
| Meetings of specialized committees under the Board of Directors | 36 | 19 | |
| Meetings of specialized committees under the Board of Supervisors | 6 | 19 | |
| Meetings of the Board of Directors | 12 | 19 | |
| Meetings of the Board of Directors for voting by correspondence | 2 | 19 | |
| Meetings of the Board of Supervisors | 11 | 19 | |
| Meetings of the Board of Supervisors for voting by correspondence | 1 | 19 | |
| Minimum number of days video surveillance is kept at outlets | days | 30 | 59 |
| Number of issues of risk information released | issues | 217 | 42 |
| Number of policy interpretation sessions for risk compliance culture | sessions | 4 | 42 |
| On-site meetings of the Board of Directors | 10 | 19 | |
| On-site meetings of the Board of Supervisors | 10 | 19 | |
| Party members study participation | million person-times | 1.039 | 31 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2018 | Report Pages |
|---|---|---|---|
| Number of WeChat study sessions conducted for risk compliance culture | sessions | 48 | 42 |
| Number of special lectures conducted for Party members | 557 | 31 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Donation to the Convoy Plan | million RMB | 10 | 71 | |
| Increase rate of outstanding loans to entities for poverty alleviation | 166.80% | 70 | ||
| Increase rate of outstanding loans to individuals for poverty alleviation | 9.30% | 70 | ||
| Increase rate of outstanding loans to precision poverty alleviation | 63.15% | 70 | ||
| Number of Party Day activities | 1700 | 31 | ||
| Number of Party members attending 19th CPC National Congress exhibition in Beijing | 3000 | 31 | ||
| Number of bank units participating in 'Work on the left, children on the right' child education lecture | units | 40 | 68 | |
| Number of cities with outlets in the Chinese mainland | cities | 146 | 59 | |
| Number of employees attending 'Work on the left, children on the right' child education lecture | employees | 4700 | 68 | |
| Number of employees sent to villages for poverty alleviation work | employees | 56 | 7 | |
| Number of essays written by Party members | 1100 | 31 | ||
| Number of people attracted by financial knowledge campaign | million | 1.3954 | 8 | |
| Number of sessions of financial knowledge campaign | 2050 | 8 | ||
| Number of young volunteers for Head Office charity sale | persons | 40 | 77 | |
| Ranking in Top 1000 World Banks by tier-one capital (The Banker, UK) | 27 | 12 | ||
| Ranking in Top 500 Global Bank Brands (The Banker, UK) | 24 | 12 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | Report Pages |
|---|---|---|---|---|
| Cumulative EUR drawn by enterprise for liquidity needs (Nanjing Branch, amphibious aircraft project) | million EUR | 19 | 32 | |
| Donations by employees of the Group | million RMB | 1.3607 | 70 | |
| Donations made by employees in their own names | RMB | 1360700 | 7 | |
| Duration of Head Office charity sale | hours | 2 | 77 | |
| Funds raised at Head Office charity sale | RMB | 40000 | 77 | |
| Increase in number of volunteer activities over previous year | percent | 26.22 | 77 | |
| Increase in person-times participated in volunteer activities over previous year | percent | 69.86 | 77 | |
| Increase in poverty alleviation funds donated | % | 27.1 | 7 | |
| Increase in social contribution per share | % | 7.07 | 7 | |
| Interest rate (inclusive small and micro businesses) | % | 6.1 | 8 | |
| Number of categories of items donated for Head Office charity sale | categories | 17 | 77 | |
| Number of items donated for Head Office charity sale | items | 600 | 77 | |
| Number of paper brochures distributed in financial knowledge campaign | million | 2.52 | 8 | |
| Number of person-times participated in volunteer activities | person-times | 5300 | 77 | |
| Number of pictures brought by children for Head Office charity sale | pictures | 40 | 77 | |
| Number of volunteer activities organized by the Group | activities | 207 | 77 | |
| Number of volunteers from Xi’an Dianzhicheng Sub-branch visiting Xianyang Welfare Center | persons | 10 | 78 | |
| Poverty alleviation funds donated to Xinjiang, Tibet, Gansu, etc. | RMB | 19290600 | 7 | |
| Social contribution per share | RMB | 4.68 | 7 | |
| Social contribution per share increase rate | 7.07% | 70 | ||
| Social contribution per share of the Group | RMB | 4.68 | 70 | |
| Tax increase rate | 12.67% | 70 | ||
| Taxes paid by the Group | billion RMB | 27.301 | 70 | |
| Total amount of comprehensive financing and leasing services provided through parent-subsidiary collaboration | RMB billion | 5 | 63 | |
| Total corporate loans balance | RMB100 million | 16596.98 | 16766.95 | 36 |
| Total corporate loans proportion | % | 100 | 100 | 36 |
| Total donations by the Group | million HKD, million RMB, thousand USD | 22.378 | 70 | |
| Total donations by the Group (converted) | million RMB | 26.2674 | 70 | |
| Total donations in local and foreign currencies | RMB | 26274000 | 7 | |
| Trade union courtesy fund allocation | RMB million | 1.245 | 69 | |
| Value of donations made by employees of Xi’an Dianzhicheng Sub-branch to Xianyang Welfare Center | RMB | 3000 | 78 | |
| direct income from wealth management products | billion RMB | 70.526 | 61 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| NOâ‚“ Emissions | ton | 1.23 | 1.05 |
| SOâ‚“ Emissions | ton | 0.03 | 0.03 |
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 |
|---|---|---|---|
| Direct GHG Emissions (Scope 1) | ton | 7350.59 | 7474.59 |
| GHG Emissions from Purchased Electricity | ton CO2 equivalent | 178400 | |
| Indirect Energy Emissions (Scope 2) | ton | 188521.2 | 178356.63 |
| Mobile Combustion Emissions | ton CO2 equivalent | 4483.29 | |
| Total GHG Emissions | ton | 195871.79 | 185831.22 |
| Total GHG Emissions Intensity (By Area) | ton/square meter | 0.06 | 0.08 |
| Total GHG Emissions Intensity (By Employee) | ton/person | 3.45 | 3.29 |
| Total GHG Emissions Intensity (By Revenue) | ton/RMB100 million | 124.99 | 112.72 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Total Hazardous Waste | ton | 137.85 | 348.57 |
| Total Hazardous Waste Intensity (By Area) | ton/square meter | 0.00005 | 0.00014 |
| Total Hazardous Waste Intensity (By Employee) | ton/person | 0.0024 | 0.0062 |
| Total Hazardous Waste Intensity (By Revenue) | ton/RMB100 million | 0.09 | 0.21 |
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 |
|---|---|---|---|
| Non-Hazardous Waste Disposed | ton | 1434.72 | 1279.09 |
| Total Non-Hazardous Waste Intensity (By Area) | ton/square meter | 0.0005 | 0.0005 |
| Total Non-Hazardous Waste Intensity (By Employee) | ton/person | 0.025 | 0.023 |
| Total Non-Hazardous Waste Intensity (By Revenue) | ton/RMB100 million | 0.92 | 0.78 |
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 |
|---|---|---|---|
| Diesel Fuel Consumption | 737.58 | 173.55 | |
| Energy Consumption Intensity (By Area) | 0.1 | 0.12 | |
| Energy Consumption Intensity (By Employee) | MWh/person | 5.32 | 5.16 |
| Energy Consumption Intensity (By Revenue) | MWh/RMB100 million | 192.63 | 176.54 |
| LPG Consumption | 2535.94 | 1571.13 | |
| Natural Gas Consumption | 12342.77 | 16014.17 | |
| Purchased Electricity | MWh | 270738.96 | 257528.57 |
| Total Direct Energy Consumption | MWh | 31130.83 | 33510.09 |
| Total Energy Consumption | MWh | 301869.79 | 291038.66 |
| Total Indirect Energy Consumption | MWh | 270738.96 | 257528.57 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Municipal Water Consumption | ton | 2102507.09 | 2203528.41 |
| Water Consumption Intensity (By Revenue) | ton/RMB100 million | 1341.67 | 1336.65 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Packaging Material Intensity (By Revenue) | ton/RMB100 million | 0.02 | 0.15 |
| Packaging Materials Consumed | ton | 30.85 | 240.26 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Standard Indicator | Unit |
|---|---|
| Total Investment in Ecological Restoration | RMB million |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Number of Bachelor's Degree Employees | employees | 38485 | 38727 |
| Number of Below Junior College Employees | employees | 387 | 328 |
| Number of Doctoral Degree Employees | employees | 203 | 187 |
| Number of Employees Aged 30-50 | employees | 20876 | |
| Number of Employees Aged Above 50 | employees | 1799 | |
| Number of Employees Aged Below 30 | employees | 20957 | |
| Number of Employees in West China | employees | 7264 | |
| Number of Female Employees | employees | 28316 | 28347 |
| Number of Male Employees | employees | 25030 | 24726 |
| Number of Master's Degree Employees | employees | 10422 | 10603 |
| Number of Senior Management Employees | persons | 10 | |
| Number of Total Employees | employees | 53346 | 53100 |
| Percentage of Employees in West China | % | 13.68 |
Number and rate of work-related fatalities occurred in each of the past three years including the reporting year.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Fatalities as a Result of Work-related Injuries | cases | 1 |
| Number of Work-related Fatalities | cases | 1 |
Lost days due to work injury.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Lost Days Due to Work-related Injuries | days | 2562.5 |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Health Check Coverage for Employees | % | 7.47 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Total Cost of Training | RMB | 108602000 |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2017 | 2018 |
|---|---|---|---|
| Average Training Hours per Employee | person-time | 12.34 | 11.36 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Suppliers in Mainland China | 38 |
Description of practices used to identify environmental and social risks along the supply chain, and how they are implemented and monitored.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Suppliers Participated in Sustainability Risk Assessment | 223 |
Number of products and service related complaints received and how they are dealt with.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Complaint Growth Rate | % | 17.86 |
| Number of Complaints Dealt with | complaints | 99531 |
| Satisfaction Rate of Customer Complaint Handling | % | 96.95 |
| Total Number of Customer Complaints | complaints | 99531 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Number of Anti-corruption Training Session | sessions | 48 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2018 |
|---|---|---|
| Investment in Targeted Poverty Alleviation | million RMB | 19.2906 |
| Number of Participations in Volunteer Activities | person-times | 5300 |
| Number of Volunteer Activities Sessions | activities | 207 |
| Total Cash Donations | million RMB | 26.2674 |
| Total Public Welfare Donations | million RMB | 26.2674 |