| Literature DB >> 30322194 |
Jesús Hernández-Rubio1, Juan C Pérez-Mesa2, Laura Piedra-Muñoz3, Emilio Galdeano-Gómez4.
Abstract
Food safety management in short supply chains of fruit and vegetables, controlled by large retailers, has been widely studied in the literature. However, when it comes to traditional long supply chains, which include a greater number of intermediaries and wholesalers who, in some cases, play a dual role as resellers and producers, the mechanisms which promote the use of safety certifications have yet to be clearly defined. The present study intended to fill this gap in the literature and shed light on the food safety level that exists in this channel. In addition, this work attempted to identify the existence of differences between both sales systems. For this purpose, the empirical research studied the most important variables that influence the food safety level of some of the main European fruit and vegetable wholesalers. A survey was thus designed and later applied to Spanish and French intermediaries working in key wholesale markets and in the southeast of Spain, which is the leading commercialization area of these products in Europe. The results revealed the positive influence of specific customers (big retailers) on establishing stricter safety controls within wholesale companies. It was also observed that specific wholesalers also play an important role in the system, namely those dedicated to importing, but which are also responsible for quality and safety inspection of agri-food products exported from third countries into the European Union.Entities:
Keywords: food safety; fruits and vegetables; importer; long supply chain; wholesaler
Mesh:
Year: 2018 PMID: 30322194 PMCID: PMC6209928 DOI: 10.3390/ijerph15102246
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Typology of agri-food supply chains. Source: Own elaboration.
Fruit and vegetable (F&V) purchase percentage of end consumer and percentage of supply from wholesalers or intermediaries (2014).
| Consumer Direct Purchase 1 | Spain | France | Germany |
|---|---|---|---|
| Super-Hyper-Discount | 43% (20%) | 73% (35%) | 86% (25%) |
| Traditional Shops | 40% (95%) | 20% (90%) | 12% (92%) |
| Others (Self-consumption, street markets) | 17% (63%) | 7% (83%) | 2% (90%) |
| Total | 100% (57%) | 100% (49%) | 100% (34%) |
1 In parenthesis, percentage of supply from wholesalers. Row ‘Total’ shows the weighted mean percentage of final consumption that is supplied through a wholesaler or intermediary. Source: Own elaboration based on data from [51,52,53].
Figure 2Tested relationships.
Figure 3Customers and suppliers of wholesalers. Notes: HORECA stands for Hotels, Restaurants and Catering. In parentheses, standard deviation.
Description of variables and correlation.
|
|
|
|
|
|
|
|
|
|
|
| |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| 42.30 | 34.34 | 100.00 | 0.00 | 1 | ||||||
|
| 2.43 | 1.45 | 5.00 | 1.00 | 0.160 | 1 | |||||
|
| 28.89 | 27.42 | 90.00 | 0.00 | −0.102 | 0.181 | 1 | ||||
|
| 0.26 | 0.44 | 1.00 | 0.00 | 0.210 | 0.426 | 0.215 | 1 | |||
|
| 40,738 | 83,498 | 755,851 | 180.00 | 0.017 | 0.307 | 0.119 | 0.170 | 1 | ||
|
| 29.05 | 17.43 | 51.00 | 3.00 | −0.194 | 0.074 | 0.061 | 0.043 | 0.372 | 1 | |
|
| 25.38 | 42.19 | 301.00 | 1.00 | −0.061 | 0.130 | 0.049 | −0.029 | 0.686 | 0.395 | 1 |
|
| 8.46 | 6.85 | 17.00 | 1.00 | 0.102 | 0.098 | 0.191 | 0.038 | 0.321 | 0.033 | 0.271 |
Estimated model (Dependent variable CERT = percentage of certified product).
| Variable | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| Constant | −0.373 | −0.424 | −0.321 |
| 0.465 ** | 0.457 ** | 0.387 ** | |
| 0.268 * | 0.305 * | ||
| −0.145 | −0.237 | ||
| 0.109 * | |||
| 0.018 | |||
| AGE | −0.022 ** | −0.030 ** | −0.012 * |
| TURN | 0.060 | 0.063 | 0.018 |
| EMP | 0.024 | 0.015 | 0.005 |
| DIV | 0.002 | −0.008 | −0.011 |
|
| 0.338 | 0.453 | 0.618 |
| Variation R2 | 0.115 | 0.165 | 0.115 |
|
| 0.295 | 0.434 | 0.455 |
|
| 1.919 | 1.615 | 1.558 |
| χ2 Farrar-Glauber | 11,721 | 16,009 | 19,565 |
| White Test | 6382 | 9482 | 7410 |
* and ** denote significance at 10 and 5 percent level, respectively. All the variables are transformed into logarithms except for the dummies.
Figure 4Interaction effects DIST × CUST. Notes: CERT is the percentage of certified production sold by the wholesaler; CUST is the degree of customer requirements, where 1 is lowest and 5 is maximum; DIST is the percentage of sales carried out through big retailers.
Figure 5Interaction effects TYPE × CUST. Note: CERT is the percentage of certified production sold by the wholesaler; CUST is the degree of customer requirements, where 1 is lowest and 5 is maximum; TYPE indicates where the majority of the wholesaler’s produce comes from importation.