Submitted:
07 June 2025
Posted:
09 June 2025
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Abstract

Keywords:
1. Introduction
2. Methodology and Analysis
3. Results
Statistical Model
- 299.16 is the constant,
- X1 represents Employment,
- X2 represents External Trade Balance (exports minus imports).
-
X3 represents Vineyard Surface Area,The results indicate: (Interpretation of Variables)
- Employment: Shows a positive contribution to GDP. The relatively low coefficient reflects that in many autonomous communities, employment primarily consists of viticulturists—direct-sector workers who are not full-time, leading to lower monthly income levels and, consequently, lower returns to the local economy in a circular framework. In the Valencian Community and Catalonia, greater professionalisation (higher monthly earnings) results in a higher monetary contribution to GDP than in other communities.
- External Trade Balance: Appears negative when interacting with other variables, though it is individually positive in its contribution to GDP. This occurs because indirect and induced GDP returns do not happen within the autonomous community but rather in the destination countries of exports. Thus, even if an external trade balance is positive, when interacting with employment and vineyard size, a high surplus can limit local job creation and reduce economic consumption impacts from workers linked to the sector.
- Vineyard Surface Area: Shows a strong negative impact. Small vineyards contribute to smaller wineries, fewer available resources, and, consequently, lower capacity for undertaking circular economy activities. Many wineries struggle to quantify the monetary return of circular initiatives, making it difficult to justify their adoption. As a result, many decide not to implement circular economy strategies, despite their potential long-term benefits.
4. Discussion
5. Conclusions
- Clearer regulations aligned across EU, national, and regional levels, promoting circular innovation through incentives, green certifications, and sustainable procurement policies.
- Investment in shared infrastructure and technology to facilitate circular waste management, water treatment, and renewable energy integration.
- Technical training and business support to help smaller wineries adopt cost-effective circular practices.
- Intersectoral collaborations to strengthen synergies between agri-food, tourism, education, and research.
- Consumer awareness campaigns to elevate the market value of sustainable wine, strengthening its competitive position.
6. Limitations and Future Research Directions
- Pinpoint the most cost-effective circular practices that could be adopted more widely, allowing for greater economic efficiency.
- Develop standardised cost-benefit ratios, enabling generalisation beyond Valencian wineries and facilitating adoption across other Spanish wine regions.
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| GDP | Employment | Vineyards < 0,5 ha. | Exports Surplus | |
|---|---|---|---|---|
| Aragón | 583 | 11710 | 55 | 105 |
| CLM | 1740 | 42770 | 24 | 770 |
| CyL | 1817 | 33130 | 77 | 200 |
| Cataluña | 3630 | 61350 | 31 | 500 |
| Extremadura | 437 | 8190 | 39 | 99 |
| Galicia | 890 | 15900 | 97 | 50 |
| La Rioja | 578 | 12210 | 20 | 320 |
| Com.Valenciana | 1885 | 32160 | 39 | 240 |
| GDP | Employment | |
|---|---|---|
| Aragón | 583 | 7.26% |
| CLM | 1740 | 14.43% |
| CyL | 1817 | 13.11% |
| Cataluña | 3630 | 47.30% |
| Extremadura | 437 | 2.34% |
| Galicia | 890 | 6.06% |
| La Rioja | 578 | 12.42% |
| Com.Valenciana | 1885 | 29.17% |
| Multiple Correlation Coefficient | 0,97182855 |
| Coefficient of Determination (R²) | 0,94445073 |
| Adjusted R² | 0,93519252 |
| Standard Error: | 272,355125 |
| Observations | 8 |
| Coefficients | Standard Error | T-statistic | Probability | Bottom 95% | Top 95% | |
| Constant | 299,156637 | 127,647122 | 2,34362226 | 0,07906452 | -55,2485909 | 653,561866 |
| Employment | 0,07112884 | 0,00291632 | 24,3899189 | 1,6767E-05 | 0,06303183 | 0,07922584 |
| External Trade Balance | -1,84732889 | 0,28073757 | -6,5802695 | 0,00276123 | -2,62678135 | -1,06787643 |
| Vineyard surface area | -5,44184685 | 1,83115418 | -2,97181248 | 0,04107046 | -10,5259459 | -0,35774779 |
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