Competitiveness of Ecuador’s Flower Industry in the Global Market in the Period 2016–2020
Abstract
:1. Introduction
- The second group of flower producers includes countries like Germany and the UK, that mainly cover their own demand for flowers through imports [5].
- The third set of countries has a low domestic demand for flowers but export large quantities. This includes countries like Colombia, Ecuador, Kenya, and Ethiopia [2].
- In the fourth group are countries that produce a large number of cut flowers and have a large internal market, although a significant part of their output is dedicated to export [2]. The benchmark country of this group is the Netherlands, which maintains its leadership in the global cut flower trade, thanks to the consolidation of Royal Flora Holland.
2. Methods
3. Results and Discussion
3.1. Types of Flowers Exported from All the Countries of the World
3.2. Flower Exports of the Main Exporting Countries
3.3. Types of Flowers Exported from Ecuador
3.4. Comparative Advantage of Ecuador’s Flower Exports
3.5. Statistical Validation of the Results
3.5.1. Analysis of Variance (ANOVA)
3.5.2. Pearson’s Correlation Analysis
3.5.3. Analysis of Variance (ANOVA)
3.5.4. t-Test
3.6. Logistics Performance Index
3.7. Global Competitiveness Index
4. Conclusions
- Market development. Ecuador should work on positioning its floral products in the EU marketplace, which is currently the major cut flower market in the world.
- Related diversification. Ecuador should expand its production of cut flowers to other varieties such as chrysanthemums, carnations, lilies, orchids, and other fresh flowers and buds, which are currently demanded in the global market.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Category a: Comparative disadvantage | 0 < RCA index | |
Category b: Weak comparative advantage | 1 < RCA index | The Netherlands and Ethiopia |
Category c: Medium comparative advantage | 2 < RCA index | Kenya |
Category d: Strong comparative advantage | 4 < RCA index | Ecuador and Colombia |
Type of Flower | Value | % |
---|---|---|
Fresh flowers and buds of gypsophila, alstroemeria, aster, gerbera, and hydrangea | 3,433,618 | 40% |
Roses | 3,017,702 | 35% |
Chrysanthemums | 754,216 | 9% |
Dried, bleached, dyed, impregnated, or otherwise prepared cut flowers and buds | 590,503 | 7% |
Carnations | 458,247 | 5% |
Fresh cut lilies (Lilium spp.) and lily buds of a kind suitable for bouquets or ornamental purposes | 215,962 | 2% |
Orchids | 199,319 | 2% |
Fresh cut flowers and buds of a kind suitable for bouquets or other ornamental purposes | 805 | 0% |
Total exports | 8,670,372 | 100% |
Country | Value | Fresh Cut Flowers and Buds 1 | Country | Value | Roses |
---|---|---|---|---|---|
The Netherlands | 1,967,057 | 57% | The Netherlands | 1,209,837 | 40% |
Colombia | 702,016 | 20% | Ecuador | 608,811 | 20% |
Ecuador | 181,195 | 5% | Kenya | 458,460 | 15% |
Kenya | 85,645 | 2% | Colombia | 319,909 | 11% |
Ethiopia | 24,116 | 1% | Ethiopia | 170,981 | 6% |
Total of the five exporting countries | 2,960,028 | 86% | Total of the five exporting countries | 2,767,997 | 92% |
Type of Flower | Value | % |
---|---|---|
Roses | 608,811 | 73% |
Fresh flowers and buds of gypsophila, alstroemeria, aster, gerbera, and hydrangea Dried, bleached, dyed, impregnated, or otherwise prepared cut flowers and buds | 181,195 19,107 | 22% 2% |
Carnations | 17,167 | 2% |
Chrysanthemums | 6207 | 1% |
Fresh cut lilies (Lilium spp.) and lily buds of a kind suitable for bouquets or ornamental purposes | 2121 | 0% |
Orchids | 344 | 0% |
Fresh cut flowers and buds of a kind suitable for bouquets or other ornamental purposes | 5 | 0% |
Total exports | 834,647 | 100% |
RCA | |||||
---|---|---|---|---|---|
Year | The Netherlands | Colombia | Ecuador | Kenya | Ethiopia |
2016 | 1.60 | 3.63 | 12.09 | 4.30 | 1.37 |
2017 | 1.66 | 4.41 | 12.43 | 3.75 | 1.81 |
2018 | 1.66 | 4.48 | 8.65 | 3.59 | 1.88 |
2019 | 1.66 | 4.37 | 7.93 | 3.26 | 1.72 |
2020 | 1.61 | 3.81 | 10.79 | 3.87 | 1.61 |
Indices | No. | Minimum | Maximum | Average | Standard Deviation | Coefficient of Variation |
---|---|---|---|---|---|---|
RXA | 5 | 81.81 | 92.56 | 86.01 | 4.70 | 0.05 |
RMA | 5 | 0.00 | 0.03 | 0.01 | 0.01 | 1.31 |
RTA | 5 | 81.77 | 92.56 | 86.00 | 4.71 | 0.05 |
RC | 5 | 7.89 | 12.91 | 10.18 | 2.02 | 0.20 |
RCA | 5 | 7.93 | 12.43 | 10.38 | 2.02 | 0.19 |
Pearson’s Correlation Test | ||||||
---|---|---|---|---|---|---|
RXA ECU | RMA ECU | RTA ECU | RC ECU | RCA ECU | ||
RXA ECU | Pearson’s correlation | 1.00 | −0.79 | 1.00 ** | 0.87 | 0.82 |
Sig. (two tailed) | 0.11 | 0.00 | 0.06 | 0.09 | ||
N | 5 | 5 | 5 | 5 | 5 | |
RMA ECU | Pearson’s correlation | −0.79 | 1 | −0.80 | −0.88 | −0.88 * |
Sig. (two tailed) | 0.11 | 0.11 | 0.05 | 0.05 | ||
N | 5 | 5 | 5 | 5 | 5 | |
RTA ECU | Pearson’s correlation | 1.00 ** | −0.80 | 1.00 | 0.87 | 0.82 |
Sig. (two tailed) | 0.00 | 0.11 | 0.06 | 0.09 | ||
N | 5 | 5 | 5 | 5 | 5 | |
RC ECU | Pearson’s correlation | 0.87 | −0.88 | 0.87 | 1.00 | 0.913 * |
Sig. (two tailed) | 0.06 | 0.05 | 0.06 | 0.03 | ||
N | 5 | 5 | 5 | 5 | 5 | |
RCA ECU | Pearson’s correlation | 0.82 | −0.88 * | 0.82 | 0.913 * | 1.00 |
Sig. (two tailed) | 0.09 | 0.05 | 0.09 | 0.03 | ||
N | 5 | 5 | 5 | 5 | 5 |
Mean | Standard Deviation | Mean Standard Error | Lower Limit | Upper Limit | t | df | Sig.(Two-Tailed) | ||
---|---|---|---|---|---|---|---|---|---|
Pair 1 | RCA ECU-RCA NL | 8.74 | 2.03 | 0.91 | 6.22 | 11.26 | 9.61 | 4 | 0.00 |
Pair 2 | RCA ECU-RCA COL | 6.24 | 2.24 | 1.00 | 3.45 | 9.02 | 6.22 | 4 | 0.00 |
Pair 3 | RCA ECU-RCA KE | 6.62 | 1.73 | 0.77 | 4.48 | 8.77 | 8.57 | 4 | 0.00 |
Pair 4 | RCA ECU- RCA ET | 8.70 | 2.12 | 0.95 | 6.07 | 11.33 | 9.19 | 4 | 0.00 |
Pair 5 | RCA NL-RCA COL | −2.50 | 0.36 | 0.16 | −2.95 | −2.05 | −15.52 | 4 | 0.00 |
Pair 6 | RCA NL-RCA KE | −2.12 | 0.41 | 0.18 | −2.62 | −1.61 | −11.62 | 4 | 0.00 |
Pair 7 | RCA NL-RCA ET | −0.04 | 0.17 | 0.08 | −0.26 | 0.18 | −0.51 | 4 | 0.63 |
Pair 8 | RCA COL-RCA KE | 0.39 | 0.74 | 0.33 | −0.53 | 1.30 | 1.17 | 4 | 0.31 |
Pair 9 | RCA COL-RCA ET | 2.46 | 0.21 | 0.10 | 2.20 | 2.73 | 25.77 | 4 | 0.00 |
Pair 10 | RCA KE-RCA ET | 2.08 | 0.55 | 0.25 | 1.39 | 2.76 | 8.45 | 4 | 0.00 |
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Guaita-Pradas, I.; Rodríguez-Mañay, L.O.; Marques-Perez, I. Competitiveness of Ecuador’s Flower Industry in the Global Market in the Period 2016–2020. Sustainability 2023, 15, 5821. https://doi.org/10.3390/su15075821
Guaita-Pradas I, Rodríguez-Mañay LO, Marques-Perez I. Competitiveness of Ecuador’s Flower Industry in the Global Market in the Period 2016–2020. Sustainability. 2023; 15(7):5821. https://doi.org/10.3390/su15075821
Chicago/Turabian StyleGuaita-Pradas, Inmaculada, Luis Oswaldo Rodríguez-Mañay, and Inmaculada Marques-Perez. 2023. "Competitiveness of Ecuador’s Flower Industry in the Global Market in the Period 2016–2020" Sustainability 15, no. 7: 5821. https://doi.org/10.3390/su15075821
APA StyleGuaita-Pradas, I., Rodríguez-Mañay, L. O., & Marques-Perez, I. (2023). Competitiveness of Ecuador’s Flower Industry in the Global Market in the Period 2016–2020. Sustainability, 15(7), 5821. https://doi.org/10.3390/su15075821