SUSTAINABILITY ESG Data

Social and Environmental Conservation Costs

Period covered: March 1 to the end of February Scope of data collection: Lawson headquarters and franchise stores*1

(Thousands of yen)

  FY2019 FY2020 FY2021 FY2022
Classifi cation Descriptions of
principal activities
Investment
amount
Expense
amount
Investment
amount
Expense
amount
Investment
amount
Expense
amount
Investment
amount
Expense
amount
Effects
(1) Business area costs
                 
1 Pollution prevention costs Maintenance and management of septic tanks at new stores 0 205,600 0 239,153 0 245,591 0 249,951 Prevention of
water contamination
2 Global environmental conservation costs Implementation of energy-efficient equipment, CO2 offsetting activities 9,072,835 117,629 5,857,147 14,192 5,524,578 8,798 5,307,016 5,345 CO2 reduction
3 Resource recycling costs Waste materials-related expenses**2 0 7,565,130 0 5,989,810 0 6,551,833 0 6,543,337 Compliance with laws and regulations
(2) Upsteam/
downstream costs
Containers and Packaging Recycling Law-related expenses 0 619,541 0 695,232 0 594,370 0 605,760 Compliance with laws and regulations
(3) Management operations costs SDGs handbook preparation costs, etc. 0 5,658 0 6,456 0 22,058 0 41,676 Promotion, dissemination and education related to environmental activities
(4) Research and development costs Energy-conserving stores’ research expenses 0 6,240 0 0 0 0 0 0 CO2 reduction
(5) Social activity costs Afforestation activities, cleaning activities, donations to non-profit organizations 0 20,609 0 303,952 0 362,671 0 358,976 Biodiversity preservation, regional beautification
Total 9,072,835 8,540,406 5,857,147 7,248,796 5,524,578 7,785,320 5,307,016 7,805,045  

*1 Including domestic area franchise stores and Lawson Store100 stores.

*2 Expenses for waste disposal and recycling at stores are estimated based on values for standard stores employed as sample figures.

Environmental Data List

Period covered: March 1 to the end of February (the period for items marked with a ★ is the administrative year: April 1 to the end of March)

Related to climate change (Reducing CO2)

Energy consumption

Item Unit FY2019 FY2020 FY2021 FY2022
★Energy consumption (electricity consumption of the Headquarters, regional offices, branches, and stores) kWh 2,273,483,738 2,128,167,978 2,159,807,692 2,220,102,190
★Of energy consumption, amount of energy consumed from renewable energy sources kWh 4,021,820 3,880,448 7,088,439 8,187,000

Per-store CO2 emissions

Item Unit FY2019 FY2020 FY2021 FY2022
★Per-store CO2 emissions due to electricity consumption*1 t 79.9 74.2 70.7 70.7

*1 The CO2 emission coefficients are calculated on the basis of the CO2 emission coefficients specified by the electric power company. Moreover, we use different CO2 emission coefficients from year to year.

Supply chain CO2 emissions*2

Item Unit FY2019 FY2020 FY2021 FY2022 Emissions per 100 million yen of sales in FY2022
★Supply chain CO2 emissions Total Thousands of tons 5,712.2 5,301.9 5,462.3 5,567.1 232.4
Scope1 Gasoline consumption by Company vehicles Thousands of tons 4.5 4.3 4.2 4.3 0.2
Scope2 Electricity consumption of the Headquarters, regional offices, branches, and stores Thousands of tons 23.2 980.7 1027.5 896.8 37.4
Scope3 Category1 Stocked raw materials (Private and national brand products,
plastic shopping bags,etc.)
Thousands of tons 4313.3 4025.7 4010.5 4,193.6 175.0
Scope3 Category2 Buildings, structures, tools and equipment, and information system hardware Thousands of tons 88.2 70.3 2.9
Scope3 Category3 Energy consumption associated with electric power procurement Thousands of tons 80.3 144.9 146.9 145.0 6.1
Scope3 Category4 Energy consumption by delivery centers Thousands of tons 100.7 101.0 139.2 136.0 5.7
Scope3 Category5 Waste generated by stores & industrial waste generated at
times of store closures and remodeling
Thousands of tons 25.3 20.6 20.9 21.9 0.9
Scope3 Category6 Business trips by headquarters employees Thousands of tons 0.9 0.9 0.8 0.8 0.0
Scope3 Category7 Commuting of Lawson employees at headquarters Thousands of tons 1.5 1.4 0.1
Scope3 Category11 Use of products sold Thousands of tons 56.5 2.4
Scope3 Category12 Disposal of containers,disposable chopsticks and plastic shopping bags Thousands of tons 59.8 23.8 22.7 40.6 1.7
Scope3 Category14 Electricity consumption by franchise stores Thousands of tons 1104.2

*2 Calculations are based on the Basic Guidelines for Calculating Greenhouse Gas Emissions Throughout the Supply Chain Ver. 2.5 and the emissions intensity database Ver. 3.3 for calculating greenhouse gas emissions of organizations throughout the supply chain. It does not cover Lawson’s entire supply chain. Each value is rounded so the total value does not match the values’ actual total. Scope 2 includes electricity consumption by franchise stores that belong to Category 14 of Scope 3.
Third-party validation has been performed on the record for fiscal 2022 by the Japan Management Association (except for electricity consumption by LAWSON STORE 100 stores in Scope 2).

Delivery trucks

Item Unit FY2019 FY2020 FY2021 FY2022
Per-store delivery truck CO2 emissions
(Reduction rate compared with fiscal 2013)
6.5 7.9
Per-store daily delivery trucks
(excluding newspapers and tobacco deliveries)
Trucks 7.0 7.0 7.0 7.0

Company vehicles*3

Item Unit FY2019 FY2020 FY2021 FY2022
Number of automobiles used by employees Trucks 2,126 2,086 2,059 2,028

*3 The period covered has been changed from administrative year (April to March) to business year (March to February).

CO2 offset through the CO2 Offset Program (offsets sold or attached to products)

Item Unit FY2019 FY2020 FY2021 FY2022
Cumulative CO2 offset t 29,900 30,021 30,122 30,191

Saving resources

Plastic containers and packaging

Item Unit FY2019 FY2020 FY2021 FY2022
Plastic container and packaging weight (Index) (Reduction rate compared with fiscal 2017) 98.3 87.6 80.7 74.9

Program to reduce plastic shopping bag use

Item Unit FY2019 FY2020 FY2021 FY2022
Cumulative "Bring Your Own Bag" reusable bags distributed Thousands of bags 5,410 7,190 7,190 8,610
Plastic shopping bags used per store weight kg 638 343 302 299
Plastic shopping bag handout rate % 77.3 25.1 26.3 25.6
Plastic shopping bags used weight t 8,795 4,723 4,200 4,371

Waste Reduction

Food waste recycling

Item Unit FY2019 FY2020 FY2021 FY2022
★Stores that recycle used cooking oil Lawson Group*4 Stores 14,411 14,112 14,306 14,242
★Stores that recycle food waste (Feed-making / Fertilization / Methane) Lawson Group*4 Stores 2,775 2,634 2,496 2,307
★Heat recovery Lawson Group*4 Stores 106 91 35 0
Reduction rate of food loss per store (Reduction rate compared with fiscal 2018)*5 Lawson (non-consolidated) % 10.2 18.2 24.7 23.1
★Food recycling ratio Lawson (non-consolidated) % 50.2 58.4 65.5 61.9

*4 The number of convenience stores managed by the consolidated Lawson Group. Includes stores operated by Lawson Inc., Lawson Okinawa, Inc., Lawson Minami-Kyushu Inc.,and Lawson Kouchi Inc.

*5 Food loss reduction rate per store is based on Lawson only.

Average daily waste per store

Item Unit FY2019 FY2020 FY2021 FY2022
★Survey targets: Some stores in Tokyo, and (from fiscal 2013)
stores implementing food recycling nationwide*6
kg 47.1 39.9 38.9 40.7

*6 Food waste is the sum of the results of stores implementing food recycling nationwide, and other waste is the sum of the results of some stores in Tokyo.
Starting in FY2021, food waste figures have been changed to an average for all stores, calculated from the results of stores implementing food recycling.

Waste volume

Item Unit FY2019 FY2020 FY2021 FY2022
★Total waste volume t 227,375 189,298 203,761 202,706
★Percentage of waste recycled % 44.7 44.9 48.5 38.7
★Final waste disposal volume t 125,680 104,346 104,941 124,319
★Hazardous waste volum t 0 0 0 0

Transition in Amount of Donations

(Millions of yen)*

  Lawson Green Fund Support Dreams Fund
(Scholarship program for
children from single-parent
families)
“Dream Classes” Fund Support Dreams Fund (Scholarship program for
victims of the Great East
Japan Earthquake)
TOMODACHI Fund Donations for disaster relief, etc. Total
Cumulative total 4,660 1,074 39 1,951 116 3,591 11,433
FY2022 105 152 13 266 536
FY2021 113 172 12 71 368
FY2020 88 215 6 140 450
FY2019 133 168 9 3 110 423
FY2018 150 205 18 9 219 602
FY2017 157 162 48 15 53 436
FY2016 146 134 14 367 661
FY2015 110 189 24 94 417
FY2014 97 291 31 31 449
FY2013 83 330 20 49 482
FY2012 110 388 4 502
FY2011 111 554 1,073 1,738
FY2010 245 71 316
FY2009 233 36 270
FY2008 254 45 299
FY2007 238 40 278
FY2006 247 23 270
FY2005 232 64 296
FY2004 175 275 450
FY2003 196 7 203
FY2002 177 45 221
FY2001 192 77 268
FY2000 154 93 247
FY1999 190 45 235
FY1998 166 166
FY1997 154 154
FY1996 107 107
FY1995 98 295 393
FY1994 79 79
FY1993 96 96
FY1992 (September~) 24 24

* Figures have been rounded. (Millions of yen)
Donations include those collected in stores, donations via Loppi, donations of Ponta and d point reward points , and donations from headquarters.

Results of Lawson Green Fund Activities

  Activity sites Area greened(ha) Woodland trees cared for
(thousands of trees)*1
Creation and renovation of biotopes (locations) The amount (t) of CO2 absorbed by trees planted*2
  Cumulative total Cumulative total Cumulative total Cumulative total Cumulative total
FY2022 6,498 7,982 19,960 243 5.4
FY2021 6,228 7,935 19,850 239 5.7
FY2020 5,744 7,762 19,410 209
FY2019 4,893 7,753 19,390
FY2018 4,632 7,618 19,050
FY2017 4,379 7,443 18,610
FY2016 4,148 7,104 17,760
FY2015 3,947 6,989 17,470
FY2014 3,741 6,771 16,920
FY2013 3,489 6,679 16,690
FY2012 3,214 6,554 16,370
FY2011 2,912 6,367 15,910
FY2010 2,603 6,038 15,090
FY2009 2,298 5,704 14,250
FY2008 2,017 5,329 13,320
FY2007 1,736 4,984 12,460
FY2006 1,528 4,510 11,270
FY2005 1,340 4,093 10,230

The data are cumulative totals since September 1992.

*1 The area greened and number of trees are calculated under certain assumptions based on the total amount of the Lawson Green Fund and the results of overall activities of the Green Fund

*2 Trees planted as part of school greening activities through the Lawson Green Fund were calculated based on the Forestry Agency's CO2 Absorption and Fixation by Cedar Forests of 36 to 40 Years Old.

Human Resources Data

  FY2018 FY2019 FY2020 FY2021 FY2022
Number of employees (non-consolidated) (Numbers)*1 4,586 4,631 4,790 4,652 4,490
   (Men/Women) (Numbers) 3,763/823 3,749/882 3,847/943 3,724/928 3,577/913
Ratio of female employees (%) 17.9 19.0 19.7 19.9 20.3
New graduates hired (Numbers) 187 225 221 118 89
  (Men/Women) (Numbers) 109/78 125/100 122/99 60/58 43/46
Ratio of women among managers (%) 9.5 10.1 10.7 11.7 13.0
Number of employees who took maternity leave (Numbers) 40 35 20 27 57
Number of employees who took childcare leave (Numbers) 165 183 162 127 161
  (Men/Women) (Numbers) 112/53 136/47 117/45 89/38 104/57
Number of employees who used the reduced working hours for childcare system (Numbers) 74 87 73 97 102
Home teleworkers (Numbers)*2 24 23 1,547 3,167 3,181
Number of employees who took nursing care leave (Numbers) 1 1 1 1 2
Number of employees on leave for a private injury or illness (mental) - - - - 42
Average monthly overtime hours 11.20 10.70 9.40 10.48 10.90
Utilization rate of paid vacation (%) 40.9 53.4 54.2 57.2 60.42
Average age (years) 39.4 40.4 40.2 40.9 41.7
  (Men/Women) (year) - - - - 43.4/34.9
Average years of service (year) 12.8 13.7 13.6 14.3 15.2
  (Men/Women) (year) 13.9/7.6 15.0/8.0 15.0/8.1 15.7/8.9 16.6/9.7
Turnover rate (%) 6.7 8.4 6.3 6.9 7.0
Number of employees leaving the company (persons) 309 388 301 321 315
Percentage of employees with disabilities (%)*3 2.24 2.15 2.25 2.29 2.29
Starting salary (yen)*4 - - University:
211,000 yen
(monthly salary)
Graduate school:
224,620 yen
(monthly salary)
University:
211,000 yen
(monthly salary)
Graduate school:
224,620 yen
(monthly salary)
University:
211,000 yen
(monthly salary)
Graduate school:
224,620 yen
(monthly salary)
Gender wage gap (All workers) (%)*5 - - - - 62.5
   Subset of regular employees (%) - - - - 80.8
   Subset of non-regular employees (%) - - - - 88.1
Notes :
1.
The number of employees (non-consolidated) is the total number of employees - (seconded to affiliates, accepted seconded to affiliates)
2.
Remote work system for all employees was introduced in September 2020. The number of employees is the number of people who applied to use the system in September 2022.
3.
The employment rate of people with disabilities is based on the Group total (Lawson, Inc., Lawsonwill, Inc., Lawson Entertainment, Inc. and Lawson Store 100, Inc.) and employment contracts.
4.
For those living in the 23 wards of Tokyo. Other amounts may vary depending on work location, residence, etc. The same wage system is applied regardless of gender.
5.
Explanation on wage variance between men and women.

*Explanation on data calculation

  • Subject period: Fiscal 2022 (from March 1, 2022 to February 28, 2023)
  • Regular worker: Regular employees except for directors
  • Non-regular worker: Contracted employees as well as part-time and temporary workers
    For part-time and temporary workers, the average annual wage is calculated based on the number of workers assuming statutory working hours (8 hours/day).

*Supplemental explanation regarding differences

  • Regarding regular workers, shorter years of service of women (difference between men and women: 6.9 years) and a lower percentage of women in managerial positions (13%) greatly influence the differences in wages.
    For this reason, we consider the promotion of empowering female employees as an important management issue and have been working on training human resources by conducting career training programs for employees with the goal of achieving an at least 30% ratio of female employees as well as ratio of women in managerial positions by 2030.
  • Regarding non-regular workers, the wage gap between men and women has occurred because many contracted employees are men who were re-hired after retirement whose wage level is high, and many part-time and temporary workers are women.
  • Regarding the wage differences between men and women across all workers, the wage gap between men and women has occurred because the percentage of men is high (80%) among regular workers with relatively high wages and the percentage of women is high (62%) among non-regular workers whose wages are lower.

Data Related to Occupational Health and Safety

  FY2019 FY2020 FY2021 FY2022
Number of occupational accidents *Excluding commuting accidents (cases) 54 48 42 26
Number of work-related fatalities (cases)*1 0 0 0 0
Number of accidents resulting in time off work (cases)*2 13 11 10 4
Ratio of accidents resulting in time off work (%)*3 0.93 0.83 0.79 0.32
Notes :
1.
Number of occupational accidents (excluding commuting accidents) resulting in death
2.
Number of occupational accidents (excluding commuting accidents) in which the employee was unable to go to work as a result of having to receive treatment for an injury or illness
3.
(Number of accidents resulting in time off work + Number of fatalities) / Total actual annual working hours x 1 million hours

Data on Female Employees

Ratio of women among managers FY2018 FY2019 FY2020 FY2021 FY2022
Number of female managers
(ratio of total female employees)
104
9.70%
111
10.27%
121
11.40%
134
12.20%
154
13.77%
Number of female senior managers
(ratio of total female employees)
16
8.20%
16
9.30%
10
6.17%
14
8.30%
11
7.14%
Number of female (Deputy) Senior Vice Presidents*
(ratio of total female employees)
0
0.00%
1
3.00%
2
6.00%
2
6.00%
2
6.06%
Number of female corporate officers* (ratio of total female employees) 4
33.30%
5
41.67%
6
46.15%
6
50.00%
5
50.00%

* Officers refers to members of the board and corporate auditors. Also, executive officers refers to executive officers and director executive officers.

Sustainability Training Program List

Name of training Target employees Aims of training Main subjects covered
in training
Number of
participants
per year
Common for all employees
Human rights and diversity training 1 times a year Correctly understand discrimination, prejudice, and harassment in order to act with consideration for one another. Basic knowledge of human rights and diversity, understanding of diverse populations, harassment, unconscious bias, a world where respect for human rights and diversity have advanced All employees
SDGs training 1 times a year To understand the Lawson Group’s efforts to realize the Sustainable Development Goals (SDGs) and link them to action. Background and overview of SDGs, initiatives in the company, involvement of SDGs in business operations All employees
Compliance and risk management training 1 times a year To understand in-house rules related to compliance and risk management and be able to act appropriately. Basic knowledge of compliance and risk management, sharing of case studies, how to be prepared and respond in work All employees
Labor management training 1 times a year Acquire basic knowledge of correct work styles and labor management Basic knowledge of daily working style and working hours, work plans, work reports All employees
Labor management training for managers 1 times a year Acquire the mindset and basic knowledge of labor management for subordinates, and realize appropriate labor management Basic knowledge of labor management, understanding of working hours, concept of overtime work, work plans All managers
Remote work training 1 times a year Understand the remote work system and learn how to work remotely Purposes and effects of remote work, details of remote work system and how to apply for it, notes and rules on how to work remotely All target group
Career design training 6 times a year Looking at turning points in careers that can occur in the future, have employees reconsider their career from various perspectives, including work, health, leisure, and money to provide an opportunity to think about their future career independently. Personnel system for those 55 years and older, life plan, money plan, health and leisure, what is independent career development, career plan 131


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