The Leading Wine Cooperatives in Argentina and Europe: What Are the Strategic Choices to Penetrate the Distribution Channels in the United States and Canada?
Abstract
:1. Introduction
2. Literature Review
2.1. Organization Cooperative Forms and Export Decision-Making in Wine Markets
2.2. Large-Scale and Multi-Level Distribution in the U.S. and Canadian Markets
2.3. A Conceptual Framework
3. Materials and Methods
3.1. Data and Sample Selection
3.2. The Baseline Model
- -
- ShipNumb is the total number of 20-foot containers shipped each year per cooperative to the U.S. or Canada;
- -
- Com_Wine is a dummy variable. The value equals ‘1’ if the container exported only contains wine. It takes the value of ‘0’ if otherwise;
- -
- PriceAvg is the average value of each unit transported in each container. The estimation is based on FOB values (USD per kg).
- -
- Union Tier: Cooperative members of associations (second- and third-tier) have greater bargaining power and therefore they may be able to better penetrate larger-scale distributors/importers.
- -
- HA Coop: Cooperatives representing larger vine surfaces may be able to supply larger wine volumes at lower prices. On the contrary, cooperatives representing lower vine surfaces will have a more limited capacity to supply larger importers/distributors.
- -
- Membership: Cooperatives with a higher number of associates/members may be able to supply larger volumes of wine. However, the average size of farm holdings and member heterogeneity may influence the ability of cooperatives to supply wine volumes.
- -
- Top20WineMNE: The top 20 leading wine firms in the U.S. The value equals ‘1’ if the customer of the shipment is a firm among the top 20 wine leading multinationals. It takes the value of ‘0’ if otherwise.
- -
- Top10WineDistributor: The top 10 leading wine distributors/wholesalers in the U.S. The value equals ‘1’ if the customer of the shipment is a firm among the top 10 wine distributors/wholesalers in the U.S. It takes the value of ‘0’ if otherwise.
- -
- CanadaMonopoly. It is a dummy variable. Value equals ‘1’ if the customer of the shipment is a Canadian monopoly (distribution). It takes the value of ‘0’ if otherwise.
- -
- Top8MidDistr: The top 8 mid-size wine distributors/importers in the U.S. The value equals ‘1’ if the customer of the shipment is a firm among the top 10 wine distributors/importers in the U.S. It takes the value of ‘0’ if otherwise.
4. Results
5. Discussion
5.1. Channel Structure and Strategic Choices in Wine Cooperatives
5.2. Scale Economies, Cooperative Membership, and Access to Distribution Channels
6. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Variables | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) |
---|---|---|---|---|---|---|---|---|---|
(1) z_ShipNb | 1.000 | ||||||||
(2) z_HA_Coop | −0.158 *** | 1.000 | |||||||
(0.000) | |||||||||
(3) z_Membership | 0.258 *** | 0.586 *** | 1.000 | ||||||
(0.000) | (0.000) | ||||||||
(4) Top20WineMNE | 0.140 *** | −0.015 | −0.030 ** | 1.000 | |||||
(0.000) | (0.236) | (0.019) | |||||||
(5) Top10Distr | 0.026 ** | −0.038 *** | 0.178 *** | −0.145 *** | 1.000 | ||||
(0.033) | (0.002) | (0.000) | (0.000) | ||||||
(6) CanadaMonop | −0.021 * | −0.052 *** | −0.090 *** | −0.067 *** | −0.067 *** | 1.000 | |||
(0.076) | (0.000) | (0.000) | (0.000) | (0.000) | |||||
(7) COM_Wine | 0.116 *** | −0.424 *** | −0.076 *** | −0.315 *** | 0.086 *** | −0.103 *** | 1.000 | ||
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | ||||
(8) z_Price_Avg | 0.087 *** | −0.065 *** | −0.073 *** | 0.454 *** | 0.049 *** | −0.013 | −0.603 *** | 1.000 | |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.283) | (0.000) | |||
(9) Top8MidDist | 0.305 *** | −0.026 ** | 0.462 *** | −0.213 *** | −0.216 *** | −0.099 *** | 0.234 *** | −0.186 *** | 1.000 |
(0.000) | (0.036) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) |
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Variables | Definition |
---|---|
z_LShipNb | The total number of wine containers (20-foot) shipped each year per each cooperative to the U.S. or Canada (standardized, z-score). Source: Piers Prospects. |
Union_Tier | Value equals ‘1’ if the exporter is a second- or third-tier wine cooperative. It takes the value of ‘0’ if otherwise. Source: websites of cooperatives. |
z_HA_Coop | The total number of hectares (vine surfaces) controlled by the members of each cooperative (standardized, z-score). Source: websites of cooperatives. |
z_Membership | The total number of members in each individual cooperative (farmers) (standardized, z-score). Source: websites of cooperatives. |
Top20WineMNE | The top 20 leading wine firms in the U.S. The value equals ‘1’ if the customer of the shipment is a firm among the top 20 wine-leading multinationals. It takes the value of ‘0’ if otherwise. Source: Winebusiness.com. |
Top10Distributor | The top 10 leading wine distributors/wholesalers in the U.S. The value equals ‘1’ if the customer of the shipment is a firm among the top 10 wine distributors/wholesalers in the USA. It takes the value of ‘0’ if otherwise. Source: Winebusiness.com. |
CanadaMonopoly | The value equals ‘1’ if the customer of the shipment is a Canadian monopoly (distribution). It takes the value of ‘0’ if otherwise. Source: Piers Prospects. |
Top8MidDistrib | The top 8 mid wine distributors/importers in the U.S. The value equals ‘1’ if the customer of the shipment is a firm among the top 10 wine distributors/importers in the U.S. It takes the value of ‘0’ if otherwise. Source: Winebusiness.com. |
Com_Wine | The value equals ‘1’ if the container exported only contains wine. It takes the value of ‘0’ if otherwise. Source: Piers Prospects. |
z_PriceAvg | The average value of each unit transported in each container. Estimation based on FOB values (USD per kg) (standardized, z-score). Source: Piers Prospects. |
Country | N | Mean | Sd | Min | Max |
---|---|---|---|---|---|
Argentina | |||||
ShipmNb | 478 | 364.364 | 126.499 | 13 | 414 |
Union Tier | 476 | 0.891 | 0.312 | 0 | 1 |
HA Coop | 457 | 23,411.379 | 5700.620 | 3000 | 25,000 |
Membersh. | 457 | 4667.834 | 1191.948 | 400 | 5000 |
Price Avg | 466 | 1.061 | 0.307 | 0.933 | 3.142 |
France | |||||
ShipmNb | 926 | 628.618 | 256.880 | 60 | 752 |
Union Tier | 922 | 0.501 | 0.500 | 0 | 1 |
HA Coop | 737 | 4616.809 | 6410.875 | 260 | 25,000 |
Membersh. | 662 | 1305.352 | 1635.354 | 23 | 5200 |
Price Avg | 871 | 1.545 | 0.941 | 0 | 7.501 |
Germany | |||||
ShipmNb | 112 | 80.786 | 30.379 | 4 | 94 |
Union Tier | 112 | 0 | 0.000 | 0 | 0 |
HA Coop | 112 | 2166.295 | 488.852 | 235 | 2300 |
Membersh. | 112 | 3069.464 | 801.119 | 24 | 3290 |
Price Avg | 82 | 1.74 | 2.649 | 1.245 | 24.489 |
Italy | |||||
ShipmNb | 5167 | 3673.26 | 1442.046 | 331 | 4320 |
Union Tier | 5149 | 0.669 | 0.471 | 0 | 1 |
HA Coop | 4943 | 5399.383 | 4297.957 | 100 | 36,000 |
Membersh. | 4943 | 3957.702 | 2241.816 | 50 | 12,400 |
Price Avg | 4657 | 1.904 | 1.870 | 0 | 26.812 |
Portugal | |||||
ShipmNb | 107 | 78.664 | 29.569 | 6 | 91 |
Union Tier | 107 | 0.103 | 0.305 | 0 | 1 |
HA Coop | 87 | 1406.115 | 396.361 | 1100 | 2300 |
Membersh. | 87 | 1130.115 | 550.844 | 55 | 1720 |
Price Avg | 103 | 1.702 | 1.582 | 1.245 | 7.5 |
Spain | |||||
ShipmNb | 584 | 428.217 | 165.112 | 39 | 500 |
Union Tier | 561 | 0.383 | 0.487 | 0 | 1 |
HA Coop | 472 | 3231.462 | 3868.457 | 42 | 14,000 |
Membersh. | 441 | 716.875 | 592.153 | 8 | 2300 |
Price Avg | 510 | 1.563 | 1.037 | 0 | 8.426 |
(Model 1) | (Model 2) | (Model 3) | (Model 4) | (Model 5) | (Model 6) | |
---|---|---|---|---|---|---|
France | Spain | Italy | Portugal | Germany | Argentina | |
z_ShipNb | −0.0860 *** | −0.0615 *** | 0.231 *** | −0.0240 *** | −0.0305 *** | −0.0217 *** |
(0.00406) | (0.00338) | (0.00382) | (0.00177) | (0.00169) | (0.00219) | |
Union_Tier | 0.251 *** | 0.110 *** | −0.247 *** | 0.0281 *** | ||
(0.0115) | (0.00954) | (0.0110) | (0.00636) | |||
z_HA_Coop | 0.0221 *** | 0.00239 | −0.130 *** | −0.0146 *** | −0.0390 *** | 0.199 *** |
(0.00574) | (0.00478) | (0.00621) | (0.00255) | (0.00277) | (0.00350) | |
z_Membership | −0.169 *** | −0.0915 *** | 0.232 *** | 0.00200 | 0.0458 *** | −0.130 *** |
(0.00659) | (0.00548) | (0.00727) | (0.00222) | (0.00290) | (0.00410) | |
Top20WineMNE | −0.0449 *** | −0.00871 | 0.157 *** | −0.0123 * | ||
(0.0112) | (0.00934) | (0.0115) | (0.00500) | |||
Top10Distr | 0.0550 *** | −0.0398 *** | 0.0672 *** | −0.0177 ** | −0.0583 *** | 0.0772 *** |
(0.0122) | (0.0102) | (0.0136) | (0.00545) | (0.00578) | (0.00736) | |
CanadaMonop | −0.100 *** | −0.0246 | 0.184 *** | 0.0198 * | −0.0355 ** | |
(0.0211) | (0.0175) | (0.0202) | (0.00904) | (0.0115) | ||
COM_Wine | 0.0978 *** | 0.0646 *** | 0.0851 *** | 0.00430 | 0.0175 ** | −0.280 *** |
(0.0156) | (0.0130) | (0.0146) | (0.00681) | (0.00668) | (0.00844) | |
z_Price_Avg | 0.0346 *** | 0.0155 *** | 0.0235 *** | 0.00274 | 0.00170 | −0.0761 *** |
(0.00505) | (0.00420) | (0.00471) | (0.00224) | (0.00210) | (0.00265) | |
Top8MidDist | 0.109 *** | −0.0614 *** | 0.0971 *** | |||
(0.0123) | (0.00502) | (0.00647) | ||||
_constant | −0.140 *** | −0.0607 *** | 0.757 *** | 0.0155 ** | 0.0261 *** | 0.249 *** |
(0.0153) | (0.0128) | (0.0148) | (0.00603) | (0.00609) | (0.00825) | |
N (Observations) | 5775 | 5775 | 5775 | 5775 | 5775 | 5775 |
Adjusted-R * | 0.278 | 0.182 | 0.700 | 0.046 | 0.085 | 0.713 |
AIC | 823.1 | −1293.5 | 39.14 | −8457.5 | −8908.4 | −6251.9 |
BIC | 889.8 | −1226.9 | 112.4 | −8404.2 | −8848.4 | −6185.3 |
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Coelho, A. The Leading Wine Cooperatives in Argentina and Europe: What Are the Strategic Choices to Penetrate the Distribution Channels in the United States and Canada? Sustainability 2024, 16, 6376. https://doi.org/10.3390/su16156376
Coelho A. The Leading Wine Cooperatives in Argentina and Europe: What Are the Strategic Choices to Penetrate the Distribution Channels in the United States and Canada? Sustainability. 2024; 16(15):6376. https://doi.org/10.3390/su16156376
Chicago/Turabian StyleCoelho, Alfredo. 2024. "The Leading Wine Cooperatives in Argentina and Europe: What Are the Strategic Choices to Penetrate the Distribution Channels in the United States and Canada?" Sustainability 16, no. 15: 6376. https://doi.org/10.3390/su16156376