| Literature DB >> 35935108 |
Britta Niklas1, Jean-Marie Cardebat2, Robin M Back3, Davide Gaeta4, Vicente Pinilla5, João Rebelo6, Roberto Jara-Rojas7, Guenter Schamel8.
Abstract
The COVID-19 crisis has severely impacted the wine industry, with producers in different countries affected differently and, therefore, differing in their perceptions toward it. These differing perceptions are assumed to be due to different business models, mainly linked to the distribution system adopted and resulting in varying distances of producers to distributors and consumers. While upstream integration characterizes the Old World, the New World applies a downstream business model, being more closely linked to distributors and consumers and, therefore, more vulnerable to shocks, which should lead to higher perceived impacts of the COVID-19 crisis. This study analyzes 542 surveys collected from wineries in nine countries, divided into New World, historical Old World, and emerging Old World. Econometric results show statistically significant differences in both the perceived impact of COVID-19 and wineries' responses in terms of planned investments, with the New World being more affected. A common desire by wineries to direct future investments towards direct-to-consumer sales and communication was found, to the detriment of investments in vineyards and cellars. This desire is particularly strong in the New World, in line with their focus on the downstream part of the value chain, underlying their greater reactivity to shocks and capacity to innovate. [EconLit Citations: D22; L21; L66; Q13].Entities:
Keywords: (logistic) regression analysis; COVID‐19 crisis; Old World New World; business models; wine industry
Year: 2022 PMID: 35935108 PMCID: PMC9347547 DOI: 10.1002/agr.21748
Source DB: PubMed Journal: Agribusiness (N Y N Y) ISSN: 0742-4477 Impact factor: 2.841
Figure 1Business models in the New World and Old World.
Distribution of size (in ha) by “World” with and without cooperatives.
| With cooperatives | Mean | Std. dev. | Min | Max |
|---|---|---|---|---|
| New World | 297.83 | 503.95 | 1 | 2,400 |
| Old World historic | 161.83 | 1058.42 | 0.5 | 14,000 |
| Old World emerging | 66.34 | 168.93 | 1 | 1,200 |
Main winery characteristics in the sample.
| Variable name | % | Variable coding |
|---|---|---|
|
| ||
| Private | 57.3 | 0 = No, 1 = Yes |
| Corporate | 34.5 | 0 = No, 1 = Yes |
| Cooperative | 8.2 | 0 = No, 1 = Yes |
|
| ||
| No Certificate | 73.9 | 0 = No, 1 = Yes |
| Organic | 25.5 | 0 = No, 1 = Yes |
| Vegan | 13.3 | 0 = No, 1 = Yes |
| Sustainable | 9.6 | 0 = No, 1 = Yes |
| Biodynamic | 4.8 | 0 = No, 1 = Yes |
| Fairtrade | 3.3 | 0 = No, 1 = Yes |
| Natural | 0.4 | 0 = No, 1 = Yes |
|
| ||
| Red | 90.8 | 0 = No, 1 = Yes |
| Rosé | 67.0 | 0 = No, 1 = Yes |
| White | 86.9 | 0 = No, 1 = Yes |
| Sparkling | 35.2 | 0 = No, 1 = Yes |
| Dessert | 20.3 | 0 = No, 1 = Yes |
| Fortified | 14.4 | 0 = No, 1 = Yes |
| Varietal | 51.7 | 0 = No, 1 = Yes |
| Cuvée | 47.8 | 0 = No, 1 = Yes |
| Bottled | 95.9 | 0 = No, 1 = Yes |
| Bulk | 31.2 | 0 = No, 1 = Yes |
|
| ||
| Premium | 43.1 | 0 = No, 1 = Yes |
| Value | 44.3 | 0 = No, 1 = Yes |
| Popular | 34.6 | 0 = No, 1 = Yes |
Percent does not add up to 100% as producers could give several answers.
Figure 2Perceptions of COVID‐19 impact (0—very low to 5—very high).
Impact on access to foreign markets, tourism, and costs (test results: equality of means)
| Perceptions | Difference |
| Variance |
|---|---|---|---|
|
| |||
| Old World historic > New World | 0.856 |
| Unequal |
| Old World emerging > New World | 0.674 |
| Unequal |
|
| |||
| New World > Old World historic | 0.426 |
| Unequal |
| New World > Old World emerging | 0.726 |
| Unequal |
| Old World historic > Old World emerging | 0.300 |
| Unequal |
|
| |||
| New World > Old World historic | 0.732 |
| Equal |
| New World > Old World emerging | 0.877 |
| Equal |
For full test results, see Supporting Information: Tables A2–A8.
Figure 3Types of reaction to COVID‐19 (%).
Figure 4Reactions in the vineyard, cellar, and management/marketing/sales (MMS)—in percentage.
Figure 5Kinds of investment in management/marketing/sales (%).
Willingness to invest in DTC sales and communication (test results: equality of means)
| Reactions | Difference |
| Variance |
|---|---|---|---|
|
| |||
| New World > Old World historic | 0.204 |
| Equal |
| New World > Old World emerging | 0.083 |
| Equal |
| Old World emerging > Old World historic | 0.121 |
| Equal |
|
| |||
| New World > Old World historic | 0.140 |
| Equal |
| New World > Old World emerging | 0.039 |
| Equal |
| Old World emerging > Old World historic | 0.101 |
| Equal |
Abbreviation: DTC, direct‐to‐consumer.
For full test results see Supporting Information: Tables A9–A14.
Figure 6Main future challenges (%).
Perceptions of COVID‐19 impact by winery characteristics (Model 1) and country groups (Model 2) (OLS estimation).
| Industry | Costs | Domestic market | Intern. market | Tourism | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Impact on | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 |
| Sparkling | 0.042 | 0.042 | 0.219 | 0.219 | 0.062 | 0.062 | 0.015 | 0.015 | 0.149 | 0.149 |
| (0.101) | (0.124) | (0.152) | (0.057) | (0.146) | (0.108) | (0.160) | (0.047) | (0.121) | (0.137) | |
| Varietal | −0.169 | −0.169 | −0.284 | −0.284 | −0.311 | −0.311 | −0.535 | −0.535 | −0.070 | −0.070 |
| (0.105) | (0.193) | (0.161) | (0.062) | (0.166) | (0.030) | (0.172) | (0.181) | (0.132) | (0.036) | |
| Premium | 0.015 | 0.015 | −0.112 | −0.112 | −0.149 | −0.149 | −0.043 | −0.043 | −0.091 | −0.091 |
| (0.100) | (0.121) | (0.158) | (0.254) | (0.146) | (0.152) | (0.169) | (0.282) | (0.137) | (0.079) | |
| Red | −0.032 | −0.032 | −0.140 | −0.140 | 0.303 | 0.303 | 0.348 | 0.348 | 0.347 | 0.347 |
| (0.182) | (0.098) | (0.241) | (0.229) | (0.254) | (0.086) | (0.262) | (0.090) | (0.248) | (0.195) | |
| No certification | −0.051 | −0.051 | −0.210 | −0.210 | −0.392 | −0.392 | −0.025 | −0.025 | 0.026 | 0.026 |
| (0.117) | (0.049) | (0.165) | (0.228) | (0.167) | (0.077) | (0.157) | (0.270) | (0.142) | (0.062) | |
| Private | 0.219 | 0.219 | 0.061 | 0.061 | 0.270 | 0.270 | −0.007 | −0.007 | 0.087 | 0.087 |
| (0.102) | (0.216) | (0.148) | (0.178) | (0.159) | (0.232) | (0.161) | (0.388) | (0.136) | (0.091) | |
| Years of operation | 0.001 | 0.001 | 0.001 | 0.001 | 0.002 | 0.002 | 0.001 | 0.001 | 0.001 | 0.001 |
| (0.001) | (0.001) | (0.001) | (0.000) | (0.001) | (0.000) | (0.001) | (0.000) | (0.001) | (0.000) | |
| Bulk | 0.026 | 0.026 | −0.029 | −0.029 | 0.197 | 0.197 | 0.134 | 0.134 | 0.015 | 0.015 |
| (0.101) | (0.088) | (0.147) | (0.057) | (0.150) | (0.212) | (0.148) | (0.262) | (0.126) | (0.053) | |
| Old World historic | ‐ | −0.362 | ‐ | −1.149 | ‐ | −0.418 | ‐ | 0.799 | ‐ | −0.217 |
| ‐ | (0.132) | ‐ | (0.095) | ‐ | (0.096) | ‐ | (0.159) | ‐ | (0.057) | |
| Old World emerging | ‐ | −0.650 | ‐ | −1.525 | ‐ | −0.650 | ‐ | 1.226 | ‐ | −0.440 |
| ‐ | (0.206) | ‐ | (0.078) | ‐ | (0.004) | ‐ | (0.124) | ‐ | (0.059) | |
| Constant | 4.066 | 4.066 | 3.639 | 3.639 | 3.453 | 3.453 | 2.354 | 2.354 | 4.027 | 4.027 |
| (0.292) | (0.374) | (0.414) | (0.543) | (0.473) | (0.261) | (0.576) | (0.321) | (0.420) | (0.289) | |
|
| 0.3818 | 0.3818 | 0.1314 | 0.1314 | 0.1456 | 0.1456 | 0.100 | 0.100 | 0.2107 | 0.2107 |
|
| 530 | 530 | 531 | 531 | 528 | 528 | 523 | 523 | 529 | 529 |
Note: Standard deviations are in brackets. New World as a reference. Estimations with (cluster)robust standard errors and country fixed effects.
p < 0.10
p < 0.05
p < 0.01.
Likelihood to invest by winery characteristics (Model 1) and country groups (Model 2) (logistic estimation).
| DTC sales Model 1 | DTC sales Model 2 | Communication Model 1 | Communication Model 2 | |
|---|---|---|---|---|
| Sparkling | 0.399 | 0.399 | 0.456 | 0.456 |
| (0.222) | (0.072) | (0.226) | (0.270) | |
| Varietal | −0.479 | −0.479 | −0.372 | −0.372 |
| (0.229) | (0.337) | (0.227) | (0.413) | |
| Premium | −0.006 | −0.006 | 0.184 | 0.184 |
| (0.220) | (0.228) | (0.227) | (0.171) | |
| Red | −0.520 | −0.520 | −0.119 | −0.119 |
| (0.322) | (0.393) | (0.345) | (0.255) | |
| No certification | 0.111 | 0.111 | −0.042 | −0.042 |
| (0.234) | (0.138) | (0.239) | (0.232) | |
| Private | 0.158 | 0.158 | −0.242 | −0.242 |
| (0.219) | (0.110) | (0.226) | (0.415) | |
| Years of operation | 0.000 | 0.000 | 0.001 | 0.001 |
| (0.001) | (0.001) | (0.001) | (0.000) | |
| Bulk | 0.125 | 0.125 | 0.038 | 0.038 |
| (0.213) | (0.276) | (0.213) | (0.435) | |
| Old World historic | ‐ | −1.770 | ‐ | −1.301 |
| ‐ | (0.178) | ‐ | (0.222) | |
| Old World emerging | ‐ | −0.762 | ‐ | −0.766 |
| ‐ | (0.096) | ‐ | (0.426) | |
| Constant | 0.095 | 0.857 | −0.186 | 0.581 |
| (0.583) | (0.626) | (0.600) | (0.726) | |
|
| 535 | 535 | 535 | 535 |
Note: Standard deviations are in brackets, New World as base category. Estimations with (cluster)robust standard errors and country‐fixed effects.
p < 0.05
p < 0.01
p < 0.001.