Environmental, Social and Governance Report 2018
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
kg refrigerant leakage per store: R22 | kg refrigerant | 312 | 327 | 340 | 420 | 367 | 23 |
kg refrigerant leakage per store: R404A | kg refrigerant | 146 | 113 | 122 | 109 | 129 | 23 |
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 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Average annual tCO2-E per store | tCO2-E | 6243 | 5805 | 5525 | 5213 | 5259 | 20 |
Chainwide Scope 1 Refrigerant Emissions | tCO2-E | 161260 | 162511 | 192455 | 211162 | 221888 | 20 |
Chainwide Scope 2 Electricity Emissions | tCO2-E | 1838128 | 1962634 | 2069465 | 2138172 | 2191353 | 20 |
Chainwide Scope 2 Gas Emissions | tCO2-E | 10981 | 8651 | 7882 | 7111 | 5738 | 20 |
RT-Mart Rooftop Solar program reaches power | M kWh | 4.8 | 10 | ||||
Total CO2-e emissions from refrigerant leakage: R22 | tons CO2-e | 77932 | 80577 | 84876 | 102748 | 86349 | 23 |
Total CO2-e emissions from refrigerant leakage: R404A | tons CO2-e | 83328 | 81935 | 104347 | 108414 | 132530 | 23 |
Total CO2-e emissions from refrigerant leakage: R407F | tons CO2-e | 3942 | 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 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|---|---|---|
Chain-wide gas consumption | MJ | 5919435 | 4663378 | 4294176 | 3833314 | 3093010 | 22 | |||
Electricity generated by rooftop photovoltaic systems | kWh | 5668000 | 24 | |||||||
Gross floor area in Central China | sqm | 1936221 | 6 | |||||||
Gross floor area in Eastern China | sqm | 5424780 | 6 | |||||||
Gross floor area in N-Eastern China | sqm | 1446005 | 6 | |||||||
Gross floor area in Northern China | sqm | 1288114 | 6 | |||||||
Gross floor area in Southern China | sqm | 2417873 | 6 | |||||||
Gross floor area in Western China | sqm | 719759 | 6 | |||||||
Installed rooftop photovoltaic capacity | MW | 4.8 | 8.22 | 24 | ||||||
Sales area electricity consumption | kWh/m2 | 444.9 | 434.5 | 419.2 | 401.4 | 378.8 | 360.7 | 345 | 335.2 | 22 |
Total gross floor area in China | sqm | 12986492 | 6 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
Indicator | Unit | 2014 | 2015 | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|---|---|
Average annual water consumption per store | M3 | 55221 | 52819 | 50341 | 46779 | 47061 | 24 |
Sales area water consumption | M3/M2 | 3.71 | 3.56 | 3.44 | 3.27 | 3.19 | 24 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Indicator | Unit | 2014 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|
Expected annual energy savings per store from anti-condensation system renovation | kWh per store per year | 45000 | 21 | ||
Expected annual energy savings per store from food processing air-hood system optimization | kWh per store per year | 30000 | 21 | ||
Stores retrofitted with R407F systems | stores | 7 | 21 | ||
Stores with 100% LED lighting retrofit | % | 100 | 21 | ||
Sun Art original energy baseline, decreased by 20% from 2007 to 2014 | % | -20 | 10 |
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 | 10 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Indicator | Unit | 2016 | 2017 | 2018 | Report Pages |
---|---|---|---|---|---|
GFA breakdown - Contract | % | 0.2 | 7 | ||
GFA breakdown - Leased | % | 70.0 | 7 | ||
GFA breakdown - Owned | % | 29.8 | 7 | ||
Market share - Bailian | % | 2 | 2 | 2 | 7 |
Market share - Carrefour | % | 4.9 | 4.8 | 4.6 | 7 |
Market share - Hualian | % | 1.1 | 1.1 | 1.1 | 7 |
Market share - Lianhua | % | 2.6 | 2.9 | 3.1 | 7 |
Market share - Lotus | % | 1.9 | 1.6 | 1.8 | 7 |
Market share - Renrenle | % | 1.6 | 1.6 | 1.6 | 7 |
Market share - SPAR | % | 1.6 | 1.7 | 1.6 | 7 |
Market share - Sun Art Retail Group Limited | % | 14.4 | 14.9 | 15.7 | 7 |
Market share - Vanguard | % | 13 | 13.2 | 13.2 | 7 |
Market share - Walmart | % | 10 | 11 | 11.9 | 7 |
Market share - WuMart | % | 2.7 | 2.8 | 2.8 | 7 |
Market share - Yonghui | % | 6.7 | 7.7 | 8.3 | 7 |
Number of employees with disabilities | 1775 | 28 | |||
Number of stores in N-Eastern China | 52 | 6 | |||
Number of stores in Western China | 26 | 6 | |||
Store number breakdown - Contract | % | 0.4 | 7 | ||
Store number breakdown - Leased | % | 76.9 | 7 | ||
Store number breakdown - Owned | % | 22.7 | 7 | ||
Total female full-time | % | 60 | 28 | ||
Total female managers | % | 49 | 28 | ||
Total female part-time | % | 7 | 28 | ||
Total female staff | % | 66 | 28 | ||
Total male full-time | % | 29 | 28 | ||
Total male managers | % | 51 | 28 | ||
Total male part-time | % | 4 | 28 | ||
Total male staff | % | 34 | 28 | ||
Total staff between 25-35 | % | 29 | 28 | ||
Total staff between 35-50 | % | 53 | 28 | ||
Total staff over 50 | % | 6 | 28 | ||
Total staff under 25 | % | 12 | 28 |
Lost days due to work injury.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Decrease in number of days lost to accidents per employee | %, days per employee | 0.15 | 0.12 | 30 |
Number of suppliers by geographical region.
Indicator | Unit | 2017 | 2018 | Report Pages |
---|---|---|---|---|
Increase in sales of bamboo and grain-based paper products (2017) | % | 41 | 26 | |
Number of stores in Central China | 76 | 6 | ||
Number of stores in Eastern China | 190 | 6 | ||
Number of stores in Northern China | 51 | 6 | ||
Number of stores in Southern China | 89 | 6 |
Number of products and service related complaints received and how they are dealt with.
Indicator | Unit | 2016 | 2017 | 2018 | 2019 | Report Pages |
---|---|---|---|---|---|---|
Average sales per store (excluding sales tax) - Bubugao | RMB million | 105 | 114 | 116 | 8 | |
Average sales per store (excluding sales tax) - Carrefour | RMB million | 142 | 141 | 140 | 8 | |
Average sales per store (excluding sales tax) - Lianhua | RMB million | 138 | 137 | 135 | 8 | |
Average sales per store (excluding sales tax) - Lotus | RMB million | 103 | 114 | 116 | 8 | |
Average sales per store (excluding sales tax) - New Hua Du | RMB million | 75 | 72 | 71 | 8 | |
Average sales per store (excluding sales tax) - Renrenle | RMB million | 108 | 96 | 91 | 8 | |
Average sales per store (excluding sales tax) - Sun Art Retail Group | RMB million | 213 | 211 | 217 | 8 | |
Average sales per store (excluding sales tax) - Walmart | RMB million | 166 | 170 | 182 | 8 | |
Average sales per store (excluding sales tax) - WuMart | RMB million | 121 | 120 | 117 | 8 | |
Average sales per store (excluding sales tax) - Yonghui | RMB million | 164 | 136 | 129 | 8 | |
Number of B2B app users | users | 480000 | 30 | |||
Target number of B2B app users | users | 600000 | 30 |
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 | 2017 | 2018 |
---|---|---|---|---|---|---|
Direct GHG Emissions (Scope 1) | tCO2-E | 161260 | 162511 | 192455 | 211162 | 221888 |
GHG Emissions from Natural Gas | tCO2-E | 10981 | 8651 | 7882 | 7111 | 5738 |
GHG Emissions from Purchased Electricity | tCO2-E | 1838128 | 1962634 | 2069465 | 2138172 | 2191353 |
HFC Emissions | tCO2-E | 161260 | 162511 | 192455 | 211162 | 221888 |
Indirect Energy Emissions (Scope 2) | tCO2-E | 1849109 | 1971285 | 2077347 | 2145283 | 2197091 |
Total GHG Emissions | tCO2-E | 2010369 | 2133796 | 2279802 | 2356445 | 2418979 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
Standard Indicator | Unit |
---|---|
Paper Waste | % |
Plastic Waste | % |
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 | 2017 | 2018 |
---|---|---|---|---|---|---|---|---|---|
Purchased Electricity Intensity (By Area) | kWh/m2 | 444.9 | 434.5 | 419.2 | 401.4 | 378.8 | 360.7 | 345 | 335.2 |
Solar Energy | kWh | 4.8 | 5668000 | ||||||
Total Direct Energy Consumption | MJ | 5919435 | 4663378 | 4294176 | 3833314 | 3093010 |
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 | M3 | 55221 | 52819 | 50341 | 46779 | 47061 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
Standard Indicator | Unit | 2014 |
---|---|---|
Energy Consumption Reduction Percentage Compared to Last Year | % | -20 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
Standard Indicator | Unit | 2011 |
---|---|---|
Packaging Material Consumption (Paper) | tons | |
Packaging Material Savings | % | 83 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
Standard Indicator | Unit | 2018 |
---|---|---|
Percentage of Employees Aged 30-50 | % | 82 |
Percentage of Employees Aged Above 50 | % | 6 |
Percentage of Employees Aged Below 30 | % | 12 |
Percentage of Female Employees | % | 66 |
Percentage of Female Managers | % | 49 |
Percentage of Full-time Employees | % | 89 |
Percentage of Full-time Employees (Female) | % | 60 |
Percentage of Full-time Employees (Male) | % | 29 |
Percentage of Male Employees | % | 34 |
Percentage of Male Managers | % | 51 |
Percentage of Part-time Employees | % | 11 |
Percentage of Part-time Employees (Female) | % | 7 |
Percentage of Part-time Employees (Male) | % | 4 |
Lost days due to work injury.
Standard Indicator | Unit | 2017 | 2018 |
---|---|---|---|
Lost Days Due to Work-related Injuries | days per employee | 0.15 | 0.12 |