| Literature DB >> 26269663 |
Matthew Kelly1, Sam-Ang Seubsman2, Cathy Banwell1, Jane Dixon1, Adrian Sleigh1.
Abstract
Transnational food retailers expanded to middle-income countries over recent decades responding to supply (liberalized foreign investment) and demand (rising incomes, urbanization, female workforce participation, and time poverty). Control in new markets diffuses along three axes: socio-economic (rich to poor), geographic (urban to rural), and product category (processed foods to fresh foods). We used a mixed method approach to study the progression of modern retail in Thailand on these three axes and consumer preferences for food retailing. In Thailand modern retail controls half the food sales but traditional fresh markets remain important. Quantitative questionnaires administered to members of a large national cohort study revealed around half of respondents were primarily traditional shoppers and half either utilized modern and traditional formats equally or primarily shopped at supermarkets. Fresh foods were mainly purchased at traditional retail formats and dry packaged foods at supermarkets. Qualitative interviews found price and quality of produce and availability of culturally important products to be significant reasons for continued support of fresh markets. Our results show socio-economic and geographic diffusion is already advanced with most respondents having access to and utilizing modern retail. Control of the fresh food sector by transnationals faces barriers in Thailand and may remain elusive. The short to mid-term outcome may be a bifurcated food system with modern and traditional retail each retaining market share, but fresh markets longer term survival may require government assistance as supermarkets become more established. Fresh markets supply affordable, healthy foods, and livelihoods for poorer Thais and are repositories of Thai food culture and social networks. If they survive they will confer cultural, social, economic, and health benefits.Entities:
Keywords: Consumer perspectives; Food culture; Food retail; Fresh markets; Thailand; Transnational supermarkets
Year: 2014 PMID: 26269663 PMCID: PMC4527983 DOI: 10.1007/s10460-014-9561-z
Source DB: PubMed Journal: Agric Human Values ISSN: 0889-048X Impact factor: 3.295
Fig. 1Conceptual framework for mixed method study quantifying retail usage and its determinants and analyzing consumer attitudes and motivations
Food provisioning patterns by socio-demographic and personal characteristics
| Predominant shopping venue* | ||||
|---|---|---|---|---|
| Fresh market shoppers | Mixed shoppers | Supermarket shoppers | Total | |
| N (%)** | N (%)** | N (%)** | N (%)*** | |
| Overall | 808 (53.3) | 286 (18.9) | 423 (27.9) | |
| Male | 349 (52.8) | 138 (20.9) | 174 (26.3) | 661 (43.6) |
| Female | 458 (53.6) | 148 (17.3) | 249 (29.1) | 855 (56.4) |
| Residence | ||||
| Rural | 226 (60.3)† | 75 (20.0) | 74 (19.7)† | 375 (25.1) |
| Urban | 568 (50.7) | 208 (18.6) | 344 (30.7) | 1120 (74.9) |
| Persistent rurala | 180 (62.1) | 54 (18.6) | 56 (19.3) | 290 (19.1) |
| Newly urbanb | 97 (52.7) | 33 (17.9) | 54 (29.3) | 184 (12.3) |
| Long-term urbanc | 463 (50.2) | 173 (18.7) | 287 (31.1) | 923 (60.1) |
| De-urbanisersd | 44 (53.7) | 20 (24.4) | 18 (22.0) | 82 (5.4) |
| Region | ||||
| Bangkok and central | 306 (44.3)† | 137 (19.8) | 248 (35.9)† | 691 (46.1) |
| North | 202 (66.7) | 53 (17.5) | 48 (15.8) | 303 (20.2) |
| Northeast | 178 (56.9) | 55 (17.6) | 80 (25.6) | 313 (20.9) |
| South | 121 (57.9) | 41 (19.6) | 47 (22.5) | 209 (13.9) |
| Age | ||||
| <45 | 522 (52.5) | 194 (19.5) | 279 (28.0) | 995 (66.3) |
| 45+ | 278 (54.8) | 87 (17.2) | 142 (28.0) | 507 (33.7) |
| Income | ||||
| Low | 434 (56.1)† | 156 (20.2) | 184 (23.8)† | 774 (51.6) |
| High | 366 (50.3) | 125 (17.2) | 237 (32.6) | 728 (48.4) |
| Work hours | ||||
| <20 | 187 (52.1) | 71 (19.8) | 101 (28.1) | 359 (23.9) |
| 20–40 | 294 (54.4) | 100 (18.5) | 146 (27.0) | 540 (36.0) |
| 41+ | 295 (52.0) | 106 (18.7) | 166 (29.3) | 567 (37.8) |
| Household size | ||||
| 1–4 | 582 (52.3) | 213 (19.2) | 317 (28.5) | 1,112 (74.1) |
| 5–9 | 210 (56.5) | 63 (16.9) | 99 (26.6) | 372 (24.8) |
| 10+ | 12 (54.5) | 5 (22.7) | 5 (22.7) | 22 (1.4) |
| Vehicle ownership | ||||
| Bicycle only | 17 (65.4)† | 3 (11.5)** | 6 (23.1)† | 26 (1.7) |
| Motorcycle only | 72 (60.0) | 27 (22.5) | 21 (17.5) | 120 (7.9) |
| Car only | 109 (47.0) | 36 (15.5) | 87(37.5) | 232 (15.3) |
| Multiple vehicles owned | 448 (54.0) | 157 (18.9) | 224 (27.0) | 829 (54.7) |
aRural in 2005 and now
bRural in 2005, urban now
cUrban in 2005 and now
dUrban in 2005, rural now
* Predominant shopping venue = retail format visited most often; if supermarket and traditional were equally frequent respondent is classified as “mixed shopper”
** Row percentage (% of each group who are fresh, mixed or modern shoppers)
*** Column percentage (% of whole sample belonging to each category)
† Difference between column proportions significant with p < 0.001
Rice purchasing location by socio-demographic and personal characteristics
| Traditional outlets | Modern outlets | |||
|---|---|---|---|---|
| n | % | n | % | |
| Overall | 596 | 43.5 | 775 | 56.5 |
| Residence | ||||
| Rural | 198 | 61.9* | 122 | 38.1* |
| Urban | 386 | 37.4 | 647 | 62.6 |
| Region | ||||
| Bangkok and central | 206 | 31.5* | 447 | 68.5* |
| North | 162 | 58.9 | 113 | 41.1 |
| Northeast | 122 | 49.4 | 125 | 50.6 |
| South | 105 | 53.8 | 90 | 46.2 |
| Age (years) | ||||
| <45 | 401 | 44.5 | 503 | 55.6 |
| ≥45 | 187 | 41.2 | 267 | 58.8 |
| Monthly Income | ||||
| <30,000 baht | 356 | 51.2* | 339 | 48.8* |
| ≥30,000 baht | 236 | 35.5 | 428 | 64.5 |
Not all respondents answered every question so totals for each analysis may vary
* Significant (p < 0.0001) difference between groups, e.g., rural versus urban
Meat fish chicken purchasing location by socio-demographic and personal characteristics
| Traditional outlets | Modern outlets | |||
|---|---|---|---|---|
| n | % | n | % | |
| Overall | 1,084 | 80.8 | 348 | 19.2 |
| Residence | ||||
| Rural | 302 | 84.8* | 51 | 15.2* |
| Urban | 768 | 72.4 | 293 | 27.6 |
| Region | ||||
| Bangkok and central | 450 | 69.3* | 199 | 30.7* |
| North | 222 | 77.6 | 64 | 22.4 |
| Northeast | 237 | 80.0 | 59 | 20.0 |
| South | 174 | 87.0 | 26 | 13.0 |
| Age (years) | ||||
| <45 | 729 | 76.8 | 220 | 23.2 |
| ≥45 | 345 | 73.2 | 126 | 26.8 |
| Monthly Income | ||||
| <30,000 baht | 596 | 81.8* | 133 | 18.2* |
| ≥30,000 baht | 482 | 69.7 | 210 | 30.3 |
Not all respondents answered every question so totals for each analysis may vary
* Significant (p < 0.0001) difference between groups, e.g., rural versus urban
Fruit and vegetable purchasing location by socio-demographic and personal characteristics
| Traditional outlets | Modern outlets | |||
|---|---|---|---|---|
| n | % | n | % | |
| Overall | 1,230 | 86.4 | 194 | 13.6 |
| Residence | ||||
| Rural | 330 | 92.2* | 28 | 7.8* |
| Urban | 884 | 84.4 | 164 | 15.6 |
| Region | ||||
| Bangkok and central | 544 | 83.8* | 105 | 16.2* |
| North | 248 | 87.3 | 36 | 12.7 |
| Northeast | 255 | 87.6 | 36 | 12.4 |
| South | 182 | 91.5 | 17 | 8.5 |
| Age (years) | ||||
| <45 | 828 | 87.2 | 121 | 12.8 |
| ≥45 | 391 | 84.4 | 72 | 15.6 |
| Monthly Income | ||||
| <30,000 baht | 662 | 91.1* | 65 | 8.9* |
| ≥ 30,000 baht | 562 | 81.9 | 124 | 18.1 |
Not all respondents answered every question so totals for each analysis may vary
* Significant (p < 0.0001) difference between groups, e.g., rural versus urban
Dried packaged instant foods purchasing location by socio-demographic and personal characteristics
| Traditional outlets | Modern outlets | |||
|---|---|---|---|---|
| n | % | n | % | |
| Overall | 175 | 12.6 | 1,209 | 87.4 |
| Residence | ||||
| Rural | 79 | 22.8* | 268 | 77.2* |
| Urban | 91 | 8.9 | 929 | 91.1 |
| Region | ||||
| Bangkok and central | 88 | 13.3* | 576 | 86.7* |
| North | 34 | 12.3 | 242 | 87.7 |
| Northeast | 54 | 19.4 | 224 | 80.6 |
| South | 29 | 14.9 | 166 | 85.1 |
| Age (years) | ||||
| <45 | 106 | 11.6 | 810 | 88.4 |
| ≥45 | 65 | 14.2 | 392 | 85.8 |
| Monthly Income | ||||
| <30,000 baht | 115 | 16.3* | 589 | 83.7* |
| ≥30,000 baht | 58 | 8.7 | 610 | 91.3 |
Not all respondents answered every question so totals for each analysis may vary
* Significant (p < 0.0001) difference between groups, e.g., rural versus urban
Logistic regression models measuring associations between socio-demographic factors and modern retail use for four main food types
| Rice | Meat, fish, chicken | Fresh fruit and vegetables | Dry, packaged, and instant foods | |||||
|---|---|---|---|---|---|---|---|---|
| B (SE) | AOR# (95 % CI) | B (SE) | AOR# (95 % CI) | B (SE) | AOR# (95 % CI) | B (SE) | AOR# (95 %CI) | |
| Region | ||||||||
| Outside Bangkok | Ref | 1 | Ref | 1 | Ref | 1 | Ref | 1 |
| Bangkok | 0.76 (0.12) | 2.13 (1.68–2.71)** | 0.42 (0.14) | 1.52 (1.17–1.98)** | 0.19 (0.17) | 1.20 (0.87–1.67) | 0.22 (0.19) | 1.24 (0.85–1.81) |
| Residence | ||||||||
| Rural | Ref | 1 | Ref | 1 | Ref | 1 | Ref | 1 |
| Urban | 0.66 (0.14) | 1.94 (1.46–2.56)** | 0.57 (0.18) | 1.76 (1.24–2.50) ** | 0.61 (0.23) | 1.84 (1.20–3.02)** | 0.91 (0.19) | 2.47 (1.71–2.58)** |
| Income | ||||||||
| Lower | Ref | 1 | Ref | 1 | Ref | 1 | Ref | 1 |
| Higher | 0.56 (0.12) | 1.75 (1.38–2.21)** | 0.58 (0.13) | 1.79 (1.38–2.32)** | 0.72 (0.17) | 2.05 (1.49–2.90)** | 0.65 (0.18) | 1.92 (1.34–2.75)** |
| Age | ||||||||
| <45 years | Ref | 1 | Ref | 1 | Ref | 1 | Ref | 1 |
| ≥45 years | −0.56 (0.13) | 0.95 (0.73–1.22) | 0.40 (0.14) | 1.04 (0.79–1.37) | 0.05 (0.17) | 1.06 (0.75–1.48) | −0.45 (0.19) | 0.64 (0.44–0.92)* |
| Sex | ||||||||
| Male | Ref | 1 | Ref | 1 | Ref | 1 | Ref | 1 |
| Female | 0.14 (0.12) | 1.15 (0.91–1.46) | 0.23 (0.13) | 1.26 (0.97–1.64) | 0.09 (0.17) | 1.10 (0.80–1.52) | 0.37 (0.17) | 1.44 (1.03–2.03)* |
Discrimination (c-index) = 0.673 Hosmer–Lemeshow test, | Discrimination (c-index) = 0.64 Hosmer–Lemeshow test, | Discrimination (c-index) = 0.63 Hosmer–Lemeshow test, | Discrimination (c-index) = 0.68 Hosmer–Lemeshow test, | |||||
Logistic regression models for the dependent variable of food being purchased in a modern (supermarket or convenience store) retail format rather than a traditional (fresh market) setting. Independent variables are region, urban or rural residence, income, age, and sex. Separate models are presented for four different food types (rice, meat, fresh produce, and dried packaged foods)
# Adjusted odds ratios (AORs) adjusted for age, sex, income, urban/rural residence, and region of residence
* p < 0.05; ** p < 0.01
Mean scores for importance of store characteristics when choosing shopping venue
| Affordable food | Convenient location | Car parking | Hygiene/clean food | Customer service | Variety of food | Local traditional foods | Physical appearance of store | Promotions/coupons available | Healthy options available | |
|---|---|---|---|---|---|---|---|---|---|---|
| Overall | 7.8 | 8.55 | 7.88 | 9.29 | 7.98 | 8.84 | 7.0 | 7.25 | 5.51 | 7.65 |
| Male | 7.58*** | 8.37*** | 7.92 | 9.18** | 7.85** | 8.68*** | 6.99 | 7.15* | 5.17*** | 7.39*** |
| Female | 7.97*** | 8.69*** | 7.88 | 9.39** | 8.08** | 8.96*** | 7.01 | 7.35* | 5.81*** | 7.86*** |
| Shopping pattern | ||||||||||
| Fresh market | 7.88 | 8.53 | 7.88 | 9.26* | 7.95 | 8.85 | 7.23** | 7.28 | 5.21** | 7.66 |
| Mixed | 7.51 | 8.50 | 7.79 | 9.25 | 7.88 | 8.71 | 7.12 | 7.19 | 5.81** | 7.71 |
| Supermarket | 7.86 | 8.62 | 7.97 | 9.39* | 8.10 | 8.90 | 6.48** | 7.27 | 5.96** | 7.60 |
| Residence | ||||||||||
| Rural | 7.68 | 8.45 | 7.87 | 9.24 | 7.90 | 8.77 | 7.31** | 7.25 | 5.04** | 7.62 |
| Urban | 7.85 | 8.59 | 7.89 | 9.32 | 8.01 | 8.86 | 6.89** | 7.25 | 5.70** | 7.66 |
| Region | ||||||||||
| Bangkok and central | 8.01 | 8.65 | 7.51 | 9.31 | 8.0 | 8.91 | 6.56 | 7.19 | 5.83 | 7.66 |
| North | 7.82 | 8.63 | 8.38 | 9.17 | 7.99 | 8.79 | 7.43 | 7.38 | 5.70 | 7.60 |
| Northeast | 7.50 | 8.42 | 8.16 | 9.29 | 7.97 | 8.77 | 7.25 | 7.33 | 5.32 | 7.62 |
| South | 7.54 | 8.29 | 8.09 | 9.44 | 7.94 | 8.79 | 7.46 | 7.25 | 4.62 | 7.77 |
| Income | ||||||||||
| Low | 8.00** | 8.56 | 7.62** | 9.27 | 8.12** | 8.87 | 7.19** | 7.30 | 5.49 | 7.74 |
| High | 7.59** | 8.55 | 8.18** | 9.32 | 7.82** | 8.80 | 6.82** | 7.21 | 5.57 | 7.56 |
| Age | ||||||||||
| <45 | 7.99** | 8.60 | 7.82 | 9.34 | 8.02 | 8.84 | 7.04 | 7.25 | 5.80** | 7.65 |
| >45 | 7.41** | 8.47 | 8.02 | 9.21 | 7.9 | 8.82 | 6.91 | 7.28 | 4.99** | 7.66 |
* Difference significant <0.1; ** Difference significant <0.05; *** Difference significant <0.00