2018 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Direct GHG emission | Ton carbon dioxide equivalent | 35.86 | 29 |
Greenhouse gas (GHG) emission | Ton carbon dioxide equivalent | 1558.95 | 29 |
Indirect GHG emission | Ton carbon dioxide equivalent | 1523.09 | 29 |
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 | 2018 | Report Pages |
---|---|---|---|
Annual fuel consumption of business vehicles used by the head office | Liter | 11805.6 | 29 |
Head office natural gas consumption | Cubic meter | 2796.6 | 10, 29 |
Head office oil consumption | Liter | 14025.3 | 10, 29 |
Head office power consumption | 10000 kWh | 219.89 | 10, 29 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Head office water consumption | Ton | 14147 | 29 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Head office paper consumption | 10 thousand pieces | 33.95 | 10 |
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 |
---|---|---|---|
Green convertible bond issuance backed by private equity | RMB million | 350 | 28 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
National ranking in 2018 Top 1000 World Banks List | 64 | 9 | |
Number of contract employees | 3597 | 53 | |
Number of employees above 50 years old | 22 | 53 | |
Number of employees aged 31 to 40 | 791 | 53 | |
Number of employees aged 41 to 50 | 173 | 53 | |
Number of employees below 30 years old | 2611 | 53 | |
Number of employees outside Jiangxi province | 597 | 53 | |
Number of employees with master's degree and above | 321 | 53 | |
Number of employees with other education levels | 14 | 53 | |
Number of employees with undergraduate and junior college education | 3262 | 53 | |
Number of employees within Jiangxi province | 3000 | 53 | |
Number of ethnic minority employees | 15 | 53 | |
Number of female employees | 2057 | 53 | |
Number of male employees | 1540 | 53 | |
Percentage of contract employees | 100.00% | 53 | |
Percentage of employees above 50 years old | 0.61% | 53 | |
Percentage of employees aged 31 to 40 | 21.99% | 53 | |
Percentage of employees aged 41 to 50 | 4.81% | 53 | |
Percentage of employees below 30 years old | 72.59% | 53 | |
Percentage of employees outside Jiangxi province | 16.60% | 53 | |
Percentage of employees with master's degree and above | 8.92% | 53 | |
Percentage of employees with other education levels | 0.39% | 53 | |
Percentage of employees with undergraduate and junior college education | 90.69% | 53 | |
Percentage of employees within Jiangxi province | 83.40% | 53 | |
Percentage of ethnic minority employees | 0.42% | 53 | |
Percentage of female employees | 57.19% | 53 | |
Percentage of male employees | 42.81% | 53 | |
Return on average assets | % | 0.61 | 10 |
Total assets | RMB, RMB100 million | 3116.23 | 9, 10 |
Total loans | RMB100 million | 1371.48 | 10 |
Total number of employees | Person | 3597 | 10, 53 |
Total number of female employees | Person | 2057 | 10 |
Employee turnover rate by gender, age group and geographical region.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Operating income | RMB100 million | 78.66 | 10 |
Operating net profit by Inner Mongolia beef and mutton enterprise (after 2018 partnership) | million RMB | 5.6 | 34 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Number of employees trained (Employees) | persons | 1437 | 56 |
Number of employees trained (Female) | persons | 802 | 56 |
Number of employees trained (Male) | persons | 874 | 56 |
Number of employees trained (Middle Management) | persons | 237 | 56 |
Number of employees trained (Senior Management) | persons | 2 | 56 |
Percentage of employees trained (Employees) | % | 40 | 56 |
Percentage of employees trained (Female) | % | 39 | 56 |
Percentage of employees trained (Male) | % | 57 | 56 |
Percentage of employees trained (Middle Management) | % | 7 | 56 |
The average training hours completed per employee by gender and employee category.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Employee training hours (Employees) | hours | 43143 | 56 |
Employee training hours (Female) | hours | 24060 | 56 |
Employee training hours (Male) | hours | 26220 | 56 |
Employee training hours (Middle Management) | hours | 7110 | 56 |
Employee training hours (Senior Management) | hours | 27 | 56 |
Training hours per person (Employees) | hours | 30.02 | 56 |
Training hours per person (Female) | hours | 30 | 56 |
Training hours per person (Male) | hours | 30 | 56 |
Training hours per person (Middle Management) | hours | 30 | 56 |
Training hours per person (Senior Management) | hours | 13.5 | 56 |
Number of suppliers by geographical region.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Agriculture-related loan balances | billion RMB | 30.197 | 33 |
Green credit balance | RMB100 million | 29.55 | 10 |
Smart Loans for Farmers - loan amount | million RMB | 24.5082 | 33 |
Smart Loans for Farmers - number of borrowers | 5037 | 33 | |
Total deposits | RMB100 million | 2179.34 | 10 |
Percentage of total products sold or shipped subject to recalls for safety and health reasons.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Annual sheep slaughter volume by Inner Mongolia beef and mutton enterprise (after 2018 partnership) | head | 370000 | 34 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Complaint settlement rate | percent | 97.15 | 40 | |
Customer satisfaction rate | percent | 96.09 | 40 | |
Increase in agriculture-related loan balances from 2017 | billion RMB | 5.316 | 33 | |
Number of complaints completed | 409 | 40 | ||
Number of complaints handled | 421 | 40 | ||
Number of customers receiving loans from new agriculture, rural areas and farmers platforms | 5812 | 33 | ||
Revenue generated by Inner Mongolia beef and mutton enterprise (Sep-Dec 2017) | million RMB | 83 | 34 | |
Revenue generated by Inner Mongolia beef and mutton enterprise (after 2018 partnership) | million RMB | 250 | 34 | |
Slaughter volume by Inner Mongolia beef and mutton enterprise (Sep-Dec 2017) | head | 100000 | 34 | |
WeChat banking (wealth management) transactions | 83100 | 39 | ||
mobile banking transactions | million | 1.806 | 39 | |
personal online banking transactions | million | 35.39 | 39 |
Description of practices relating to observing and protecting intellectual property rights.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Separate performance letters of guarantee | RMB million | 295 | 28 |
Description of consumer data protection and privacy policies, and how they are implemented and monitored.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
E-banking replacement ratio | % | 88 | 10 |
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 |
---|---|---|---|
Capital adequacy ratio | % | 11.55 | 10 |
Provision coverage ratio | % | 169.69 | 10 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
Basic earnings per share | RMB | 0.8 | 10 |
Global ranking in 2018 Top 1000 World Banks List | 372 | 9 | |
Number of platforms for new agriculture, rural areas and farmers | 28 | 33 |
Resources contributed (e.g. money or time) to the focus area.
Indicator | Unit | 2018 | Report Pages |
---|---|---|---|
PV Loans for Farmers - loan amount | million RMB | 13.6399 | 33 |
PV Loans for Farmers - number of borrowers | 284 | 33 | |
Targeted poverty alleviation loan balance | RMB100 million | 3.41 | 10 |
Total charity donations | RMB10 thousand | 390.4 | 10 |
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 | 2018 |
---|---|---|
Direct GHG Emissions (Scope 1) | Ton carbon dioxide equivalent | 35.86 |
Indirect Energy Emissions (Scope 2) | Ton carbon dioxide equivalent | 1523.09 |
Total GHG Emissions | Ton carbon dioxide equivalent | 1558.95 |
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 | 2018 |
---|---|---|
Heating Oil Consumption | Liter | 28050.6 |
Natural Gas Consumption | Cubic meter | 5593.2 |
Purchased Electricity | kWh | 4616500 |
Total Direct Energy Consumption | Liter | 39855.6 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit | 2018 |
---|---|---|
Water Consumption in Office | Ton | 14147 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2018 |
---|---|---|
Packaging Material Consumption (Paper) | 10 thousand pieces | 33.95 |
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 | RMB million | 350 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 |
---|---|---|
Number of Contractors | Person | 3597 |
Number of Employees Aged 30-50 | Person | 791 |
Number of Employees Aged Above 50 | Person | 22 |
Number of Employees Aged Below 30 | Person | 2611 |
Number of Female Employees | Person | 2057 |
Number of Male Employees | Person | 1540 |
Number of Total Employees | Person | 3597 |
Percentage of Contractors | % | 100 |
Percentage of Employees Aged 30-50 | % | 4.81 |
Percentage of Employees Aged Above 50 | % | 0.61 |
Percentage of Employees Aged Below 30 | % | 72.59 |
Percentage of Female Employees | % | 57.19 |
Percentage of Male Employees | % | 42.81 |
The percentage of employees trained by gender and employee category (e.g. senior management, middle management).
Standard Indicator | Unit | 2018 |
---|---|---|
Percentage of Employees Trained | % | 40 |
Percentage of Trained Female Employees | % | 39 |
Percentage of Trained Male Employees | % | 57 |
Percentage of Trained Middle Management | % | 7 |
The average training hours completed per employee by gender and employee category.
Standard Indicator | Unit | 2018 |
---|---|---|
Average Training Hours (Female) | hours | 30 |
Average Training Hours (Male) | hours | 30 |
Average Training Hours (Middle Management) | hours | 30 |
Average Training Hours (Senior Management) | hours | 13.5 |
Average Training Hours per Employee | hours | 30.02 |
Total Training Hours | hours | 43143 |
Number of products and service related complaints received and how they are dealt with.
Standard Indicator | Unit | 2018 |
---|---|---|
Complaints Handling Rate | percent | 97.15 |
Number of Complaints Dealt with | 421 | |
Number of Complaints Resolved on Products and Services | 409 | |
Satisfaction Rate of Customer Complaint Handling | percent | 96.09 |
Resources contributed (e.g. money or time) to the focus area.
Standard Indicator | Unit | 2018 |
---|---|---|
Investment in Targeted Poverty Alleviation | RMB | 34100000 |
Total Public Welfare Donations | RMB | 3904000 |