Market-Driven Mapping of Technological Advancements in the Seafood Industry: A Country-Level Analysis
"> Figure 1
<p>Column points denoting technology.</p> "> Figure 2
<p>Row points denoting countries.</p> "> Figure 3
<p>Row and column points. Note: <a href="#economies-12-00313-f001" class="html-fig">Figure 1</a>, <a href="#economies-12-00313-f002" class="html-fig">Figure 2</a> and <a href="#economies-12-00313-f003" class="html-fig">Figure 3</a> display the spatial maps of seafood companies participating in the Asian Seafood Expo ASIA 2023.</p> ">
Abstract
:1. Introduction
1.1. Seafood Processing
1.2. Industry 4.0
2. Methodology
3. Result and Discussion
4. Limitations and Future Research
5. Conclusions
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
NAM | New Approach Methodologies |
HTS | High-Throughput Sequencing |
HACCP | Hazard Analysis Critical Control Points |
GMP | Good Manufacturing Practice |
IR | Industrial Revolution |
AI | Artificial Intelligence |
IoT | Internet of Things |
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SL NO. | COUNTRIES/REGIONS | TOTAL COMPANIES |
---|---|---|
1. | ARGENTINA | 8 |
2. | AUSTRALIA | 23 |
3. | BAHRAIN | 1 |
4. | BANGLADESH | 1 |
5. | BRUNEI DARUSSALAM | 1 |
6. | CANADA | 15 |
7. | CHILE | 2 |
8. | CHINA | 47 |
9. | ECUADOR | 8 |
10. | FALKLAND ISLANDS | 1 |
11. | FAROE ISLANDS | 1 |
12. | FIJI | 1 |
13. | FRANCE | 5 |
14. | GEORGIA | 1 |
15. | GREECE | 1 |
16. | HONG KONG | 4 |
17. | INDIA | 10 |
18. | INDONESIA | 1 |
19. | JAPAN | 10 |
20. | KIRIBATI | 1 |
21. | MALAYSIA | 2 |
22. | MAURITANIA | 1 |
23. | MAURITIUS | 1 |
24. | NETHERLANDS | 11 |
25. | NEW ZEALAND | 3 |
26. | NICARAGUA | 1 |
27. | NORWAY | 15 |
28. | OMAN | 1 |
29. | POLAND | 9 |
30. | REPUBLIC OF KOREA | 10 |
31. | SINGAPORE | 30 |
32. | SOLOMON ISLANDS | 2 |
33. | SPAIN | 9 |
34. | SWEDEN | 1 |
35. | TAIWAN | 10 |
36. | TURKEY | 10 |
37. | UNITED KINGDOM | 2 |
38. | UNITED STATES | 13 |
39. | VIETNAM | 26 |
40. | YEMEN | 5 |
Major companies (excluding absent/daughter companies) | Categorizations were based on questionnaire content |
1. Processing methods: pre-processing, processing, and packaging. | |
2. Raw materials: fin fish, crustaceans, mollusks, and others. | |
3. Trading. |
The First Industrial Revolution denotes the first generation | Traditional practices include salting, sun drying, pit curing, etc. |
The Secondary Industrial Revolution denotes the second generation. | Basic freezing machines, metal detecting machines, plate freezers, canning, etc. |
The Third Industrial Revolution denotes the third generation. | A step ahead of the basic machines, with modifications, systematic controllers for freezing, IQF, value addition, etc. |
The Fourth Industrial Revolution denotes the fourth generation. | Sensor applications, fingerprint-controlled machines, big data storage, automatic machines in applications, etc. |
Country/Region | Technology | |||
---|---|---|---|---|
2nd Generation | 3rd Generation | 4th Generation | Active Margin | |
Argentina | 1 | 4 | 0 | 5 |
Australia | 4 | 14 | 0 | 18 |
Bahrain | 0 | 0 | 0 | 0 |
Bangladesh | 0 | 2 | 0 | 2 |
Brunei Darussalam | 0 | 2 | 0 | 2 |
Canada | 0 | 4 | 0 | 4 |
Chile | 0 | 3 | 0 | 3 |
China | 36 | 71 | 4 | 111 |
Ecuador | 2 | 0 | 0 | 2 |
Japan | 0 | 9 | 0 | 9 |
Faroe Islands | 0 | 2 | 0 | 2 |
Fiji | 0 | 0 | 0 | 0 |
France | 0 | 7 | 0 | 7 |
Georgia | 0 | 0 | 0 | 0 |
Greece | 0 | 1 | 0 | 1 |
Hong Kong | 0 | 1 | 0 | 1 |
India | 7 | 2 | 2 | 11 |
Indonesia | 4 | 1 | 0 | 5 |
Kiribati | 0 | 0 | 0 | 0 |
Malaysia | 3 | 0 | 0 | 3 |
Mauritania | 5 | 0 | 0 | 5 |
Mauritius | 0 | 0 | 0 | 0 |
Netherlands | 0 | 8 | 5 | 13 |
New Zealand | 0 | 3 | 0 | 3 |
Nicaragua | 2 | 0 | 0 | 2 |
Norway | 0 | 2 | 6 | 8 |
Oman | 0 | 0 | 0 | 0 |
Poland | 2 | 5 | 0 | 7 |
Republic of Korea | 1 | 2 | 3 | 6 |
Singapore | 1 | 13 | 3 | 17 |
Solomon Islands | 0 | 0 | 0 | 0 |
Spain | 3 | 2 | 3 | 8 |
Sweden | 0 | 0 | 0 | 0 |
Taiwan | 0 | 17 | 0 | 17 |
Turkey | 0 | 1 | 1 | 2 |
United Kingdom | 0 | 0 | 0 | 0 |
United States | 6 | 3 | 0 | 9 |
Vietnam | 11 | 20 | 9 | 40 |
Yemen | 0 | 15 | 0 | 15 |
Active Margin | 88 | 214 | 36 | 338 |
Dimension | Singular Value | Inertia | Chi-Square | Sig. | Proportion of Inertia | Confidence Singular Value | ||
---|---|---|---|---|---|---|---|---|
Accounted for | Cumulative | Standard Deviation | Correlation | |||||
2 | ||||||||
1 | 0.533 | 0.284 | 0.510 | 0.510 | 0.035 | 0.010 | ||
2 | 0.522 | 0.273 | 0.490 | 1.000 | 0.060 | |||
Total | 0.557 | 188.309 | 0.000 a | 1.000 | 1.000 |
TECHNOLOGY CLASSIFICATION | COUNTRIES FALLING INTO THE CATEGORY |
---|---|
The Secondary Industrial Revolution denotes the second generation. | Ecuador |
Indonesia | |
Nicaragua | |
Malaysia | |
Mauritania | |
The Third Industrial Revolution denotes the third generation. | United States |
Singapore | |
China | |
India | |
Canada | |
Chile | |
Brunei Darussalam | |
Argentina | |
Australia | |
Vietnam | |
Bangladesh | |
The Fourth Industrial Revolution denotes the fourth generation. | Norway |
Republic of Korea | |
Spain | |
Turkey | |
Netherlands |
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Subash, A.; Ramanathan, H.N.; Šostar, M. Market-Driven Mapping of Technological Advancements in the Seafood Industry: A Country-Level Analysis. Economies 2024, 12, 313. https://doi.org/10.3390/economies12110313
Subash A, Ramanathan HN, Šostar M. Market-Driven Mapping of Technological Advancements in the Seafood Industry: A Country-Level Analysis. Economies. 2024; 12(11):313. https://doi.org/10.3390/economies12110313
Chicago/Turabian StyleSubash, Abhirami, Hareesh N. Ramanathan, and Marko Šostar. 2024. "Market-Driven Mapping of Technological Advancements in the Seafood Industry: A Country-Level Analysis" Economies 12, no. 11: 313. https://doi.org/10.3390/economies12110313
APA StyleSubash, A., Ramanathan, H. N., & Šostar, M. (2024). Market-Driven Mapping of Technological Advancements in the Seafood Industry: A Country-Level Analysis. Economies, 12(11), 313. https://doi.org/10.3390/economies12110313