Examining Household Food Waste Behaviors and the Determinants in Korea Using New Questions in a National Household Survey
Abstract
:1. Introduction
2. Review of Literature
2.1. Related Studies
2.2. Related Policies by International Organizations and Countries
2.2.1. Efforts of International Organizations
2.2.2. Policies by Country
3. Data and Methods
3.1. Data and Summary Statistics
3.2. Econometric Analysis
3.2.1. Analysis of Factors Affecting the Amount of Food Waste
3.2.2. Analysis of Differences in the Amount of Food Waste by Intensity of Efforts and by Household Awareness on Reducing Food Waste
4. Empirical Results and Discussions
4.1. Descriptive Statistics
4.1.1. Food Waste Discharge in Korea
4.1.2. Volume-Rate Food Waste Disposal System
4.1.3. Main Source of Food Waste
4.1.4. Household Efforts to Reduce Food Waste and Their Recognition on Food Waste
4.2. Estimation Results
4.3. Discussions and Policy Implications
4.3.1. Efforts to Reduce Food Waste and Loss
4.3.2. Implications of the Analysis of Factors Affecting Food Waste of Korean Households
4.3.3. Suggestions for Responding to Food Waste and Loss Issue
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Organization | Project | Content |
---|---|---|
United Nations (UN) | Sustainable Development Goal 12.3 and 12.5 |
|
Food and Agriculture Organization (FAO) | Global Initiative on Food Waste and Loss Reduction |
|
UN Environment Programme (UNEP) and FAO | Sustainable Food Systems Program |
|
Asia-Pacific Economic Cooperation (APEC) | Strengthening Public-Private Partnerships to Reduce Food Loss in the Supply Chain |
|
Organization for Economic Co-operation and Development (OECD) | Food Chain Analysis Network |
|
OECD and International Food Policy Research Institute (IFPRI) | n/a |
|
Classification | Percentage (%) | Number of Participants (#) | |
---|---|---|---|
Survey Area | Seoul Metro City | 11.93 | 410 |
Busan Metro City | 7.62 | 262 | |
Incheon Metro City | 5.79 | 199 | |
Daegu Metro City | 5.5 | 189 | |
Daejeon Metro City | 4.86 | 167 | |
Gwangju Metro City | 4.48 | 154 | |
Ulsan Metro City | 3.52 | 121 | |
Gyounggi Province | 12.28 | 422 | |
Gyeongsangbuk-do | 6.95 | 239 | |
Gyeongsangnam-do | 7.33 | 252 | |
Jeollabuk-do | 4.34 | 149 | |
Jeollanam-do | 5.56 | 191 | |
Chungcheongbuk-do | 5.76 | 198 | |
Chungcheongnam-do | 5.82 | 200 | |
Gangwon-do | 6.43 | 221 | |
Jeju Island | 1.83 | 63 | |
Total | 100 | 3437 | |
Gender | Female | 87.78 | 3017 |
Male | 12.22 | 420 | |
Total | 100 | 3437 | |
Age | 30s or below | 17.66 | 607 |
40s | 25.08 | 862 | |
50s | 29.36 | 1009 | |
60s | 20.45 | 703 | |
70s | 7.45 | 256 | |
Total | 100 | 3437 | |
# of people in a household | 1 person | 22.35 | 768 |
2 people | 39.66 | 1363 | |
3 people | 21.12 | 726 | |
4 people | 15.04 | 517 | |
5 people or more | 1.83 | 63 | |
Total | 100 | 3437 |
Classification | Below 500 g (%) | 500 g–1 kg (%) | 1–2 kg (%) | 2–3 kg (%) | Above 3 kg (%) | Number of Participants (#) | |
---|---|---|---|---|---|---|---|
Upper-level Administrative District | Seoul Metro City | 64.39 | 28.78 | 4.88 | 1.95 | 0.00 | 410 |
Busan Metro City | 52.67 | 43.89 | 2.67 | 0.76 | 0.00 | 262 | |
Incheon Metro City | 66.83 | 27.14 | 6.03 | 0.00 | 0.00 | 199 | |
Daegu Metro City | 46.56 | 34.39 | 13.23 | 3.17 | 2.65 | 189 | |
Daejeon Metro City | 64.07 | 29.94 | 2.99 | 2.99 | 0.00 | 167 | |
Gwangju Metro City | 58.44 | 39.61 | 1.30 | 0.65 | 0.00 | 154 | |
Ulsan Metro City | 50.41 | 42.15 | 6.61 | 0.83 | 0.00 | 121 | |
Gyounggi Province | 58.53 | 29.86 | 9.95 | 1.66 | 0.00 | 422 | |
Gyeongsangbuk-do | 78.66 | 19.67 | 1.67 | 0.00 | 0.00 | 239 | |
Gyeongsangnam-do | 68.25 | 28.17 | 3.17 | 0.40 | 0.00 | 252 | |
Jeollabuk-do | 74.50 | 22.82 | 2.68 | 0.00 | 0.00 | 149 | |
Jeollanam-do | 56.02 | 42.93 | 0.52 | 0.52 | 0.00 | 191 | |
Chungcheongbuk-do | 65.66 | 33.33 | 1.01 | 0.00 | 0.00 | 198 | |
Chungcheongnam-do | 76.00 | 23.50 | 0.50 | 0.00 | 0.00 | 200 | |
Gangwon-do | 62.44 | 34.39 | 3.17 | 0.00 | 0.00 | 221 | |
Jeju Island | 69.84 | 25.40 | 4.76 | 0.00 | 0.00 | 63 | |
Gender | Female | 61.88 | 32.28 | 4.67 | 0.99 | 0.17 | 3017 |
Male | 72.14 | 25.00 | 2.38 | 0.48 | 0.00 | 420 | |
Age of household head | 30s or below | 66.89 | 28.34 | 4.28 | 0.33 | 0.16 | 607 |
40s | 51.97 | 39.33 | 7.31 | 1.16 | 0.23 | 862 | |
50s | 59.07 | 35.38 | 4.36 | 1.09 | 0.10 | 1009 | |
60s | 73.12 | 23.90 | 2.13 | 0.71 | 0.14 | 703 | |
70s | 80.47 | 16.80 | 1.17 | 1.56 | 0.00 | 256 | |
Household size | 1 person | 86.59 | 11.85 | 1.04 | 0.52 | 0.00 | 768 |
2 persons | 64.27 | 31.47 | 3.30 | 0.81 | 0.15 | 1363 | |
3 persons | 51.38 | 41.18 | 6.20 | 1.24 | 0.00 | 726 | |
4 persons | 44.68 | 44.10 | 9.48 | 1.16 | 0.58 | 517 | |
5 persons or more | 39.68 | 50.79 | 6.35 | 3.17 | 0.00 | 63 | |
Total | 63.14 | 31.39 | 4.39 | 0.93 | 0.15 | 3437 |
Classification | Percentage (%) | Number of Participants (#) | |
---|---|---|---|
Change in amount of food waste | decreased significantly | 0.32 | 11 |
somewhat decreased | 7.86 | 270 | |
not changed | 79.28 | 2725 | |
somewhat increased | 12.45 | 428 | |
increased significantly | 0.09 | 3 | |
Total | 100 | 3437 |
Classification | Percentage (%) | Number of Participants (#) |
---|---|---|
Radio-Frequency Identification (RFID) method | 11.14 | 383 |
Exclusive containers only for food waste | 28.78 | 989 |
Bag for food waste | 25.02 | 860 |
Public food waste collection boxes (as in apartments or multi-household residence) | 29.44 | 1012 |
Others | 5.62 | 193 |
Total | 100 | 3437 |
Classification | Percentage (%) | Number of Participants (#) |
---|---|---|
Leftover rice, side dishes, or soup scraps | 40.38 | 1388 |
Pre-cooking stage (fruit peel and vegetable or fish dressing) | 54.52 | 1874 |
Spoiled or old foods | 5.09 | 175 |
Total | 100 | 3437 |
Classification | No Effort at All (%) | Tend Not to Try (%) | Average (%) | Tend to Try (%) | Trying Very Hard (%) | Number of Participants (#) | |
---|---|---|---|---|---|---|---|
Gender | Female | 0.1 | 3.4 | 43.5 | 50.5 | 2.5 | 3017 |
Male | 0.5 | 3.8 | 57.6 | 36.4 | 1.7 | 420 | |
Age of household head | 30s or below | 0.3 | 2.1 | 49.3 | 46.3 | 2.0 | 607 |
40s | 0.00 | 3.6 | 41.8 | 53.0 | 1.6 | 862 | |
50s | 0.00 | 3.0 | 42.4 | 52.2 | 2.4 | 1009 | |
60s | 0.1 | 4.4 | 47.9 | 45.0 | 2.6 | 703 | |
70s | 1.2 | 4.7 | 51.2 | 37.1 | 5.9 | 256 | |
Household size | 1 person | 0.4 | 4.8 | 55.5 | 36.6 | 2.7 | 768 |
2 persons | 0.2 | 3.7 | 46.6 | 46.7 | 2.7 | 1363 | |
3 persons | 0.0 | 2.2 | 37.6 | 58.7 | 1.5 | 726 | |
4 persons | 0.0 | 2.1 | 38.1 | 57.6 | 2.1 | 517 | |
5 persons or more | 0.0 | 3.2 | 38.1 | 54.0 | 4.8 | 63 | |
Region | Seoul Metropolitan | 0.0 | 2.8 | 36.2 | 58.2 | 2.7 | 1031 |
Chungcheong | 0.0 | 0.6 | 49.0 | 45.0 | 5.4 | 565 | |
Honam | 0.0 | 4.9 | 45.0 | 47.7 | 2.4 | 557 | |
Daekyung | 1.7 | 6.9 | 53.0 | 37.7 | 0.7 | 428 | |
Dongnam | 0.0 | 2.6 | 52.7 | 43.8 | 0.9 | 635 | |
Kangwon | 0.0 | 5.9 | 56.8 | 32.4 | 4.9 | 221 | |
Total | 0.2 | 3.4 | 45.2 | 48.8 | 2.4 | 3437 |
Classification | Not Important at All (%) | Not Really Important (%) | Average (%) | Somewhat Important (%) | Really Important (%) | Number of Participants (#) | |
---|---|---|---|---|---|---|---|
Gender | Female | 0.0 | 0.9 | 34.7 | 58.5 | 5.9 | 3017 |
Male | 0.0 | 0.7 | 45.0 | 49.8 | 4.5 | 420 | |
Age of household head | 30s or below | 0.0 | 0.7 | 37.7 | 56.2 | 5.4 | 607 |
40s | 0.1 | 0.5 | 34.7 | 58.9 | 5.80 | 862 | |
50s | 0.0 | 1.0 | 33.2 | 59.6 | 6.2 | 1009 | |
60s | 0.0 | 1.1 | 37.2 | 56.2 | 5.4 | 703 | |
70s | 0.0 | 1.2 | 43.0 | 50.4 | 5.5 | 256 | |
Household size | 1 person | 0.0 | 0.9 | 46.0 | 47.7 | 5.5 | 768 |
2 persons | 0.0 | 1.3 | 37.5 | 56.5 | 4.8 | 1363 | |
3 persons | 0.0 | 0.3 | 29.6 | 62.7 | 7.4 | 726 | |
4 persons | 0.2 | 0.6 | 26.7 | 66.0 | 6.6 | 517 | |
5 persons or more | 0.0 | 0.0 | 28.6 | 66.7 | 4.8 | 63 | |
Total | 0.0 | 0.8 | 35.9 | 57.4 | 5.8 | 3437 |
Classification | Coefficient Estimate | Standard Error | |
---|---|---|---|
Demographic factors | Age | 0.0084 ** | 0.0043 |
Number of household members | 0.2983 *** | 0.0472 | |
Highest level of education | 0.2762 *** | 0.0663 | |
Gender (male = 1) | −0.0956 | 0.1256 | |
Single-person household | −0.9895 *** | 0.1419 | |
Eup/Myeon area (rural) | −0.1195 | 0.1020 | |
Housing: House-type | −0.0811 | 0.1201 | |
Housing: Apartment | 0.0014 | 0.1173 | |
Housing: Others | 1.7957 *** | 0.4665 | |
Pattern of purchasing foods | Average amount of groceries purchased at a time | 0.0045 *** | 0.0011 |
Grocery shopping cycle | −0.0857 | 0.0542 | |
Volume-rate disposal system | Exclusive container | 0.0373 | 0.1401 |
Volume-rate bag | −0.5201 *** | 0.1384 | |
Public food waste collection box | −0.3463 *** | 0.1263 | |
Others | −0.6148 ** | 0.2441 | |
Estimation results | /cut1 | 2.1455 | |
/cut2 | 4.6247 | ||
/cut3 | 6.3187 | ||
/cut4 | 8.3363 | ||
# of sample | 3437 | ||
LR ( | 457.7 *** | ||
Pseudo | 0.0789 |
Classification | Coefficient Estimate for Group 1 | Coefficient Estimate for Group 2 | |
---|---|---|---|
Demographic factors | Age | 0.0102 * | 0.0071 |
Number of household members | 0.3541 *** | 0.2615 *** | |
Highest level of education | 0.3405 *** | 0.2078 ** | |
Gender (male = 1) | −0.1170 | −0.0337 | |
Single-person household | −1.1393 *** | −0.8405 *** | |
Eup/Myeon area (rural) | −0.3338 ** | 0.1440 | |
Housing: House-type | −0.2593 | 0.1052 | |
Housing: Apartment | −0.2393 | 0.2564 | |
Housing: Others | 1.7730 *** | 1.6838 ** | |
Pattern of purchasing foods | Average amount of groceries purchased at a time | 0.0035 ** | 0.0059 *** |
Grocery shopping cycle | −0.0764 | −0.1088 | |
Volume-rate disposal system | Exclusive container | 0.0802 | −0.0742 |
Volume-rate bag | −0.4194 * | −0.6349 *** | |
Public food waste collection box | −0.5350 *** | −0.2341 | |
Others | 0.4851 | −0.7270 * | |
Estimation results | /cut1 | 2.3512 | 1.9050 |
/cut2 | 4.8377 | 4.3978 | |
/cut3 | 7.3084 | 5.7111 | |
/cut4 | 8.3021 | 8.4026 | |
# of sample | 1678 | 1759 | |
LR ( | 299.07 *** | 173.06 *** | |
Pseudo | 0.1107 | 0.0563 |
Classification | Coefficient Estimate for Group 1 | Coefficient Estimate for Group 2 | |
---|---|---|---|
Demographic factors | Age | 0.0100 | 0.0069 |
Number of household members | 0.2874 *** | 0.2957 *** | |
Highest level of education | 0.3971 *** | 0.1913 ** | |
Gender (male = 1) | −0.3839 ** | 0.0689 | |
Single-person household | −1.1307 *** | −0.9140 *** | |
Eup/Myeon area (rural) | −0.2695 | −0.0351 | |
Housing: House-type | −0.3487 * | 0.0594 | |
Housing: Apartment | −0.3198 | 0.1647 | |
Housing: Others | 1.3749 ** | 2.0393 *** | |
Pattern of purchasing foods | Average amount of groceries purchased at a time | 0.0020 | 0.0061 *** |
Grocery shopping cycle | −0.0425 | −0.1166 * | |
Volume-rate disposal system | Exclusive container | 0.2013 | −0.0329 |
Volume-rate bag | −0.1000 | −0.6955 *** | |
Public food waste collection box | −0.3422 | −0.3076 ** | |
Others | −0.2736 | −0.6460 * | |
Estimation results | /cut1 | 2.5743 | 1.8265 |
/cut2 | 5.2097 | 4.2602 | |
/cut3 | 9.1761 | 5.6787 | |
/cut4 | - | 7.6770 | |
# of sample | 1265 | 2172 | |
LR ( | 196.32 *** | 265.18 *** | |
Pseudo | 0.1041 | 0.0685 |
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Kim, S.; Lee, S.H. Examining Household Food Waste Behaviors and the Determinants in Korea Using New Questions in a National Household Survey. Sustainability 2020, 12, 8484. https://doi.org/10.3390/su12208484
Kim S, Lee SH. Examining Household Food Waste Behaviors and the Determinants in Korea Using New Questions in a National Household Survey. Sustainability. 2020; 12(20):8484. https://doi.org/10.3390/su12208484
Chicago/Turabian StyleKim, Sanghyo, and Sang Hyeon Lee. 2020. "Examining Household Food Waste Behaviors and the Determinants in Korea Using New Questions in a National Household Survey" Sustainability 12, no. 20: 8484. https://doi.org/10.3390/su12208484
APA StyleKim, S., & Lee, S. H. (2020). Examining Household Food Waste Behaviors and the Determinants in Korea Using New Questions in a National Household Survey. Sustainability, 12(20), 8484. https://doi.org/10.3390/su12208484