Environmental, Social and Governance Report 2016
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 | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| CO2 emissions per store | tCO2e | 6243 | 5805 | 5525 | 14 |
| CO2 saved by solar panels (across 4 stores) | tonnes | 2190 | 11 | ||
| Direct emissions N2O | tonnes | 64.6 | 50.9 | 46.4 | 13 |
| Direct emissions NH4 | tonnes | 291 | 229.3 | 208.9 | 13 |
| Refrigeration leakage R22 | kg Refrigerant | 312 | 327 | 340 | 14 |
| Refrigeration leakage R404A | kg Refrigerant | 146 | 113 | 122 | 14 |
| Total CO2 emissions - Electricity | tCO2e | 1838128 | 1982634 | 2059465 | 14 |
| Total CO2 emissions - Gas | tCO2e | 10981 | 8651 | 7882 | 14 |
| Total CO2 emissions - Refrigerant | tCO2e | 161260 | 162511 | 192455 | 14 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2030 | Report Pages |
|---|---|---|---|
| Goal to completely phase out R22 refrigerant | R22 | completely phase out | 9 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Indicator | Unit | 2011 | 2016 | 2020 | Report Pages |
|---|---|---|---|---|---|
| Store recycling rate | % | 28 | 62 | 17 | |
| Target recycling rate | % | 85 | 23 |
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 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | Report Pages |
|---|---|---|---|---|---|---|---|---|---|
| Current solar power capacity (across 4 stores) | kW | 2950 | 11 | ||||||
| Electricity produced by solar panels (across 4 stores) | kWh | 2804350 | 11 | ||||||
| GFA in Western China | sqm | 576517 | 4 | ||||||
| Gas consumption | m3 | 5919435 | 4663378 | 4249176 | 13 | ||||
| Number of rooftop solar retrofit projects completed | projects | 4 | 11 | ||||||
| Planned rooftop solar retrofit projects | projects | 32 | 11 | ||||||
| Rooftop area covered by solar panels (across 4 stores) | m2 | 22549 | 11 | ||||||
| Store electricity consumption | kWh/m2 | 444.9 | 434.5 | 419.2 | 401.4 | 378.8 | 360.7 | 12 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2014 | 2015 | 2016 | Report Pages |
|---|---|---|---|---|---|
| Sales area water consumption per m2 | m3/m2 | 3.71 | 3.56 | 3.44 | 13 |
| Total GFA | sqm | 12032543 | 4 | ||
| Water consumption per store | m3 | 55521 | 52819 | 50341 | 13 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2015 | 2016 | 2017 | 2018 | 2020 | Report Pages |
|---|---|---|---|---|---|---|---|
| Goal for stores to be equipped with 100% LED lighting | LED | 100% | 9 | ||||
| New 2020 Sustainability Plan developed including objective to further reduce energy usage | % | -20 | 8 | ||||
| Reduction in electricity intensity | reduction | 20% | 9 | ||||
| Renewable energy target | renewable energy | 20% | 11 | ||||
| Stores achieving 'excellent' rating according to Shanghai Government Standard | stores | 85% | 9 | ||||
| Stores equipped with LED lighting | stores | 86 | 9 | ||||
| Stores planned for retrofit to use R404A refrigerant | stores | 16 | 9 | ||||
| Stores retrofitted to use R404A refrigerant | stores | 6 | 9 | ||||
| Target reduction in energy intensity | % | 20 | 23 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2011 | Report Pages |
|---|---|---|---|
| Product packaging reduction program saves packaging | tonnes | 83 | 8 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2016 | 2020 | Report Pages |
|---|---|---|---|---|
| Area of trees planted in Inner Mongolia (2016) | hectares | 2.4 | 15 | |
| Auchan Forest Plot 2016-1 size | hectares | 2.4 | 15 | |
| Target stores achieving 'excellent' rating according to Shanghai Gov't Standard | % | 85 | 23 | |
| Target sustainable development measures integrated into stores | 100 | 23 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2015 | 2016 | Report Pages |
|---|---|---|---|---|
| Employees over age 50 as percentage of total staff | % | 5 | 18 | |
| Female managers as percentage of all managers | % | 46 | 18 | |
| GFA Breakdown - Contract | 0.2% | 4 | ||
| GFA Breakdown - Leased | 68.8% | 4 | ||
| GFA Breakdown - Owned | 31.0% | 4 | ||
| GFA in Central China | sqm | 1794184 | 4 | |
| GFA in Eastern China | sqm | 5221777 | 4 | |
| GFA in N-Eastern China | sqm | 1271389 | 4 | |
| GFA in Northern China | sqm | 1206475 | 4 | |
| GFA in Southern China | sqm | 1962201 | 4 | |
| Market Share in Hypermarkets Industry - Beijing Hualian | % | 1.6 | 1.6 | 5 |
| Market Share in Hypermarkets Industry - Bubugao | % | 5.3 | 4.7 | 5 |
| Market Share in Hypermarkets Industry - Carrefour | % | 10.6 | 10.2 | 5 |
| Market Share in Hypermarkets Industry - Ito Yokado | % | 1.8 | 1.7 | 5 |
| Market Share in Hypermarkets Industry - Lianhua | % | 2.8 | 2.7 | 5 |
| Market Share in Hypermarkets Industry - Lotus | % | 2.2 | 2.1 | 5 |
| Market Share in Hypermarkets Industry - SPAR | % | 2 | 2 | 5 |
| Market Share in Hypermarkets Industry - Sun Art | % | 15.5 | 15.3 | 5 |
| Market Share in Hypermarkets Industry - Walmart | % | 14.1 | 14.6 | 5 |
| Market Share in Hypermarkets Industry - Yonghui | % | 6.8 | 5.9 | 5 |
| Number of sites secured to open hypermarket complexes over next 3 years | sites | 79 | 4 | |
| Number of sites under construction | sites | 69 | 4 | |
| Number of stores in N-Eastern China | stores | 46 | 4 | |
| Number of stores in Western China | stores | 20 | 4 | |
| Store Number Breakdown - Contract | 0.5% | 4 | ||
| Store Number Breakdown - Leased | 76.0% | 4 | ||
| Store Number Breakdown - Owned | 23.5% | 4 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Average days of training per employee per year | days | 9.8 | 20 |
Number of suppliers by geographical region.
| Indicator | Unit | 2016 | Report Pages |
|---|---|---|---|
| Number of cities covered | cities | 224 | 4 |
| Number of provinces, autonomous regions and municipalities covered | 29 | 4 | |
| Number of stores in Central China | stores | 71 | 4 |
| Number of stores in Eastern China | stores | 181 | 4 |
| Number of stores in Northern China | stores | 48 | 4 |
| Number of stores in Southern China | stores | 80 | 4 |
| Total number of hypermarkets and supermarkets in China | stores | 446 | 4 |
| Total number of stores | stores | 446 | 4 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2015 | 2016 | Report Pages |
|---|---|---|---|---|
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Beijing Hualian | RMB Million | 112 | 107 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Beijing Jingkelong | RMB Million | 95 | 83 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Bubugao | RMB Million | 108 | 104 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Carrefour | RMB Million | 154 | 154 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Ito Yokado | RMB Million | 126 | 123 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Lianhua | RMB Million | 112 | 105 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Lotus | RMB Million | 173 | 166 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Renrenle | RMB Million | 101 | 85 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - SPAR | RMB Million | 117 | 114 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Shinsegae | RMB Million | 122 | 117 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Sun Art | RMB Million | 226 | 222 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Walmart | RMB Million | 160 | 163 | 5 |
| Average Sales (Excluding Sales Tax) Per Store in Hypermarkets Industry - Yonghui | RMB Million | 151 | 137 | 5 |
| Feiniu.com GMV growth | doubled | 4 | ||
| Feiniu.com O2O GMV share | 29.1% | 4 | ||
| Feiniu.com active users within half a year | users | 4400000 | 4 | |
| Feiniu.com registered members | members | 23000000 | 4 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2015-2017 | 2016 | Report Pages |
|---|---|---|---|---|
| Number of computers donated to Netspring for rural education (2015-2017) | 2300 | 16 | ||
| Number of donated computers installed in schools | 421 | 16 |
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 | 2014 | 2015 | 2016 |
|---|---|---|---|---|
| Direct GHG Emissions (Scope 1) | tCO2e | 172241 | 171162 | 200337 |
| GHG Emissions from Natural Gas | tCO2e | 10981 | 8651 | 7882 |
| GHG Emissions from Purchased Electricity | tCO2e | 1838128 | 1982634 | 2059465 |
| Indirect Energy Emissions (Scope 2) | tCO2e | 1838128 | 1982634 | 2059465 |
| Total GHG Emissions | tCO2e | 2019370 | 2147796 | 2320802 |
| Total GHG Emissions Intensity (By Unit Product) | tCO2e per store | 6243 | 5805 | 5525 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit |
|---|---|
| Disposal Rate of Hazardous Waste | % |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2020 |
|---|---|---|
| Recycling Rate of Non-Hazardous Waste | % | 85 |
Description of how hazardous and non-hazardous wastes are handled, and a description of reduction target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2011 | 2016 |
|---|---|---|---|
| Non-Hazardous Waste Intensity Reduction Percentage Compared to Last Year | % | 28 | 62 |
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 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 |
|---|---|---|---|---|---|---|---|
| Energy Consumption Intensity (By Area) | kWh/m2 | 444.9 | 434.5 | 419.2 | 401.4 | 378.8 | 360.7 |
| Natural Gas Consumption | m3 | 5919435 | 4663378 | 4249176 | |||
| Solar Energy | kWh | 2804350 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2014 | 2015 | 2016 |
|---|---|---|---|---|
| Water Consumption | m3 | 55521 | 52819 | 50341 |
| Water Consumption Intensity (By Revenue) | m3/m2 | 3.71 | 3.56 | 3.44 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit | 2015 | 2020 |
|---|---|---|---|
| Target Energy Consumption Reduction Percentage Compared to Last Year | % | 20 | 20 |
Description of whether there is any issue in sourcing water that is fit for purpose, water efficiency target(s) set and steps taken to achieve them.
| Standard Indicator | Unit |
|---|---|
| Water Consumption Reduction Compared to Last Year | million m3 annually |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2011 |
|---|---|---|
| Packaging Material Savings | tonnes | 83 |
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 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2016 |
|---|---|---|
| Number of Employees Aged 30-50 | people | |
| Number of Employees Aged Above 50 | people | |
| Number of Employees Aged Below 30 | people | |
| Number of Female Employees | people | |
| Number of Male Employees | people | |
| Number of Total Employees | people | |
| Percentage of Employees Aged 30-50 | % | |
| Percentage of Employees Aged Above 50 | % | 5 |
| Percentage of Employees Aged Below 30 | % | |
| Percentage of Female Employees | % | |
| Percentage of Male Employees | % |
Description of occupational health and safety measures adopted, and how they are implemented and monitored.
| Standard Indicator | Unit |
|---|---|
| Investment in Work Safety | RMB |
The average training hours completed per employee by gender and employee category.
| Standard Indicator | Unit | 2016 |
|---|---|---|
| Average Training Hours per Employee | days | 9.8 |
Number of suppliers by geographical region.
| Standard Indicator | Unit |
|---|---|
| Number of Total Suppliers | suppliers |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2015-2017 | 2016 |
|---|---|---|---|
| Total In-kind Donations | computers | 2300 | 421 |
| Total Public Welfare Donations | RMB | ||
| Total Social Investment | RMB |