| Literature DB >> 36124128 |
Md Akhtaruzzaman Khan1, Md Emran Hossain1, Md Takibur Rahman2, Madan Mohan Dey3.
Abstract
The COVID-19 pandemic has wreaked havoc on the aquaculture and fisheries sector all around the world, with the impact being exacerbated in developing countries. This study is an endeavor to identify consequences of the COVID-19 on fisheries and aquaculture sectors based on primary data collected from Bangladesh as an empirical case study. The data were collected through face-to-face interviews with different supply chain actors while analyzed using descriptive statistics and a problem confrontation index. As results depicted, income and employment across fish farmers, fishers, and traders were severely hurt, with a drastic fall in the market demand, coupled with a severe drop in their fish consumption. As market demand declined, fish farmers must be stocked mature fish for an extra period, and feed costs raised, eventually increasing the overall production cost. Besides, inaccessibility to inputs also made fish production and catch more troublesome. The price of all the major cultured and captured species plunged, leading to a depressing return to farmers, while inputs price underwent a significant increase except for labor and fingerling. However, traders seemed to be the worst sufferers amid striking disruption in fish value chain, which ostracized the preponderance of the traders from the chain. Some of the prime obstacles that constrained the production and trading process were but not limited to higher transportation costs, labor shortage, inability to pay for the wage, and reduced consumer demand across fish farmers, fishers, and traders. Nevertheless, our article further identified a myriad of strategies that the fish farmers, fishers, and traders followed to heal the scar of the fisheries and aquaculture sector with hands-on actions.Entities:
Keywords: Adaptation strategies; Bangladesh; COVID-19; Fisheries and aquaculture; Supply chain
Year: 2022 PMID: 36124128 PMCID: PMC9473142 DOI: 10.1016/j.aquaculture.2022.738822
Source DB: PubMed Journal: Aquaculture ISSN: 0044-8486 Impact factor: 5.135
Relevant literatures of COVID-19's impact on aquaculture and fisheries around the world.
| Author/s (year) | Country | Sub-sector | Key findings |
|---|---|---|---|
| Malaysia | Aquaculture | Eight out of ten respondents identified low market demand as a major constraint to their aquaculture activities. While using online markets or digital platforms was the most popular adaptive option. | |
| The United States | Aquaculture | The disruption of traditional marketing channels was the primary impact of COVID-19. The COVID-19 had a cascade of effects, including a loss of revenue, manpower shortage, and difficulty obtaining production inputs. | |
| India | Shrimp aquaculture | The shrimp aquaculture sector suffered an economic loss of 1.50 billion USD. Due to the pandemic, severe constraints were identified in shrimp seed production and supply i.e., disruption in the supply chain, farming, processing, marketing, and loss of employment and income. | |
| Bangladesh | Small-scale fisheries | Reduced income, difficulties in collecting inputs, labor shortages, transportation abstraction, a weak value chain, low consumer demand, and creditor's pressure were identified as the main affecting factors in Bangladesh's small-scale fisheries. | |
| The United States | Fisheries | Almost every participant reported a loss of revenue. Direct sales to consumers, switching species, and supplementing their income with government payments or other sources of revenue were among the adaption measures mentioned by fishers. | |
| Malaysia | Aquaculture | COVID-19 had the most significant influence on reducing demand, as well as supply chain disruption. The key adaptive measure was government stimulus packages. | |
| Thailand and Taiwan | Fisheries | Fisher's employment is disrupted due to instability in the seafood industry, travel or mobility restrictions, and limited access to services such as health care and social programs. | |
| Worldwide | Fisheries | The impact of COVID-19 included some fisheries were completely shut down as a result of COVID-19, market disruptions, increased health hazards, and a rise in illegal, unreported, and unregulated fishing. | |
| Vietnam Myanmar Thailand Cambodia and Laos | Aquaculture | The COVID-19 pandemic hampered farmer mobility, interrupted input and produce logistics, and decreased consumer demand, which in turn, lowering net income. Large aquaculture farms were more likely to be harmed by increasing input prices and decreased fish market prices. | |
| Bangladesh | Aquaculture and Fisheries | COVID-19 increased transportation, input and maintenance costs, and a drop in fish market prices. However, the pandemic has a positive effect, namely, a rise in fish stocks as a result of reduced fishing activity. | |
| Bangladesh | Aquaculture | COVID has caused a profit squeeze for finfish farmers. Farmers have lowered labor costs by reducing the number of employees and their wages. | |
| Bangladesh | Fisheries | COVID-19 resulted in lower fish demand, labor shortages, and transportation challenges. Fisher's fishing time and earnings both were reduced. Owners of boats had a greater income reduction (49%) than fishers (26%). | |
| Bangladesh | Shrimp aquaculture | The cost of shrimp production increased significantly during COVID-19, lowering profitability. |
Fig. 1Map location showing the study areas.
Demographic features of the surveyed respondents.
| Particulars | Level | Fish farmers | Fishers | Fish traders |
|---|---|---|---|---|
| Value (%) | Value (%) | Value (%) | ||
| Education | Illiterate | 5.5 | 7.9 | 20.15 |
| Up to primary | 11.15 | 51.55 | 23.35 | |
| Up to secondary | 53.25 | 35.85 | 53.75 | |
| Beyond secondary | 30.1 | 4.7 | 2.75 | |
| Age (years) | 18–36 | 21.25 | 34.35 | 32.75 |
| 37–51 | 45 | 53 | 11.75 | |
| Above 51 | 33.75 | 12.65 | 55.5 | |
| Family size | ≤4 members | 25.5 | 15.5 | 22.75 |
| 5–7 members | 45.75 | 65.25 | 50.5 | |
| ≥7 members | 28.75 | 19.25 | 26.75 | |
| Experience (years) | Up to 10 | 16 | 22.5 | 27.5 |
| 11 to 15 | 28 | 38.75 | 15.8 | |
| 16 to 20 | 16 | 19.55 | 12.5 | |
| Above 20 | 40 | 19.2 | 44.2 | |
| Fish farming/fishing/trading as a primary occupation | 88.5 | 81.75 | 92.5 |
Age is categorized as Young = 18–36 years, Middle-aged = 37–51 years, and Old- aged = >51 years according to the National Youth Policy of Bangladesh (2017).
COVID-19 effects on income, employment, and trading activities of fish farmers, fishers, and traders.
| Particulars | Change (%) | ||
|---|---|---|---|
| Fish farmers | Fishers | Traders | |
| Income from fisheries | −42.75 | −32.80 | −49.75 |
| Self-employment | +28.5 | −55.75 | −78.25 |
| Hired labor | −35.69 | −55.90 | −60.55 |
| Household fish consumption | −15.55 | −22.66 | −27.78 |
| Frequency of transport use | −30.35 | −39.40 | −70.55 |
| Market demand (no. of customers/traders) | −42.75 | −58.00 | −72.54 |
| Average amount of fish trade (buy and sell) | −63.55 | −33.60 | −70.30 |
| Amount of unsold fish | +40.00 | +19.50 | +12.00 |
Note: “+” sign indicates positive change (increase), while “-” sign denotes negative change (decrease).
change in the amount of unsold mature fish,
change in unsold catch fish.
Information of mature fish stocking in pond during COVID-19.
| Particulars | Fish farmers | Fishers | Traders |
|---|---|---|---|
| Mature fish stocking in pond or icing of fish after harvest during COVID-19 (% of respondents) | 68.44 | 17.60 | 14.64 |
| Mature fish stocking in pond or icing of fish after harvest during COVID-19 (no. of days) | 118 | 3 | 14 |
| Quantity of feed/ice application increased for further stocking of mature fish or icing of fish after harvest (%) | 29.80 | 5.5 | 7.95 |
| Feed/ice cost increased for further stocking/icing of mature fish (%) | 21.62 | 6.05 | 7.55 |
| Change in others cost | 11.01 | 1.65 | 3.35 |
| Cost increase per kg of fish production/sell for further stocking/icing (%) | 32.63 | 7.70 | 10.9 |
Note: Mature fish stocking strategy used by fish farmers while the fishers and traders used ice for preserving the fish.
Other cost includes inputs those are required for farm operation except feed/ice.
Fig. 2Percentage of respondents having adequate access to different farm inputs during COVID-19.
Fig. 3Changes in inputs price during COVID-19. Note: Positive value indicates the higher price, while negative value denotes lower price during COVID-19.
Changes in fish price during COVID-19 (USD/kg).
| Fish species | Fish price (pre- COVID) | Fish price (During COVID) | Mean change (%) | t-value |
|---|---|---|---|---|
| Culture | ||||
| Rui ( | 2.71 | 2.29 | −15.56 | 0.84 |
| Catla ( | 2.23 | 1.81 | −18.92 | 1.01 |
| Silver Carp ( | 1.81 | 1.33 | −26.67 | 1.98c |
| Common Carp ( | 1.81 | 1.20 | −33.33 | 2.11b |
| Mrigal ( | 1.69 | 1.20 | −28.57 | 1.97 c |
| Tilapia ( | 1.45 | 1.08 | −25.00 | 1.84 c |
| Pangas ( | 1.51 | 0.90 | −40.00 | 2.61a |
| Grass Carp ( | 1.81 | 1.20 | −33.33 | 2.12 b |
| Prawn/ Golda ( | 8.43 | 7.23 | −14.29 | 0.72 |
| Capture | ||||
| Hilsha ( | 9.04 | 8.13 | −10.00 | 0.66 |
| Shrimp/Bagda ( | 6.02 | 5.42 | −10.00 | 0.65 |
| Tengra ( | 1.45 | 0.84 | −41.67 | 2.64a |
| Rida ( | 3.61 | 3.61 | −0.00 | 0.02 |
| Mola punti ( | 1.45 | 0.96 | −33.33 | 2.11 b |
| Baila ( | 4.82 | 3.61 | −25.00 | 1.82 c |
| Shol ( | 4.82 | 3.01 | −37.50 | 2.09 b |
| Taki ( | 1.45 | 0.96 | −33.33 | 1.97 c |
| Ayre ( | 7.23 | 6.02 | −16.67 | 0.92 |
| Bata ( | 1.20 | 0.96 | −20.00 | 1.23 |
| Boal ( | 3.61 | 3.01 | −16.67 | 0.91 |
Notes: “-” sing indicates negative change (reduction) of fish price during the pandemic period. a, b and c indicates the significance at 1%, 5% and 10% level, respectively.
Fig. 4Disruption of fish supply chain due to COVID-19.
Fig. 5COVID-19 disruptions and impacts on aquaculture and fisheries value chain activities. Note: This graph is based on a variety of data streams acquired through a survey, although it is not meant to represent a quantitative analysis. In the center of the figure are key outcomes: production, well-being, and food security.
Major problems faced by fish farmers, fishers, and traders for input supply.
| Problems of inputs accumulation | Extent of problem (%) | Total PCI | Rank | ||
|---|---|---|---|---|---|
| Low (1) | Medium (2) | High (3) | |||
| Fish farmers | |||||
| Raised the feed price due to deficient supply | 15 (10) | 55 (36.67) | 80 (53.33) | 365 | 1 |
| Lack of quality fingerling and fry due to the closure of hatchery business | 37 (24.67) | 21 (14) | 92 (61.33) | 355 | 2 |
| Unable to sell fish but have to pay the lease value of land | 32 (21.33) | 43 (28.67) | 75 (50) | 343 | 3 |
| Inadequate labor supply | 39 (26) | 44 (29.33) | 67 (44.67) | 328 | 4 |
| Price rise of locally made feed ingredients | 122 (81.33) | 16 (10.67) | 12 (8) | 190 | 5 |
| Fishers | |||||
| Unable to catch fish due to movement restriction | 12 (8) | 45 (30) | 93 (62) | 381 | 1 |
| Inadequate cocksheet/container supply | 34 (22.67) | 55 (36.67) | 61(40.67) | 327 | 2 |
| High rope price | 67 (44.67) | 46 (30.67) | 37 (24.67) | 270 | 3 |
| Difficulties in purchasing fishing nets | 97 (64.67) | 23 (15.33) | 30 (20) | 233 | 4 |
| Fish traders | |||||
| Unavailability of transport and high cost | 9 (9) | 24 (24) | 67 (67) | 258 | 1 |
| Lack of capital and credit support | 12 (12) | 33 (33) | 55 (55) | 243 | 2 |
| Labor shortage | 33 (33) | 29 (29) | 38 (38) | 205 | 3 |
| Inadequate ice supply and high price of ice | 27 (27) | 52 (52) | 21 (21) | 194 | 4 |
Notes: Figure shown in the parenthesis indicates the percentage of respondents in each category.
Major issues faced by fish farmers, fishers, and traders for fish sale.
| Problems of fish sale | Extent of problem (%) | Total PCI | Rank | ||
|---|---|---|---|---|---|
| Low (1) | Medium (2) | High (3) | |||
| Fish farmers | |||||
| Low fish price | 7 (4.67) | 24 (16.0) | 119 (79.33) | 412 | 1 |
| Closure of | 12 (8) | 39 (26) | 99 (66) | 387 | 2 |
| Lack of bargaining power | 34 (22.67) | 55 (36.67) | 61 (40.67) | 327 | 3 |
| Limited number of buyers | 37 (24.67) | 69 (46) | 44 (29.33) | 307 | 4 |
| Lower demand | 55 (36.67) | 59 (39.33) | 36 (24) | 281 | 5 |
| Fishers | |||||
| Closure of | 9 (6) | 17 (11.33) | 124 (82.67) | 415 | 1 |
| Low fish price | 12 (8) | 18 (12) | 120 (80) | 408 | 2 |
| Limited number of buyers | 27 (18) | 23 (15.33) | 100 (66.67) | 373 | 3 |
| Transportation problem | 77 (51.33) | 12 (8) | 61 (40.67) | 284 | 4 |
| Fish traders | |||||
| Limited number of buyers from distant market | 12 (12) | 8 (8) | 80 (80) | 268 | 1 |
| During a lockdown, the administrative difficulty of | 18 (18) | 32 (32) | 50 (50) | 232 | 2 |
| Shorter market duration | 23 (23) | 29 (29) | 48 (480) | 225 | 3 |
| Lack of | 20 (20) | 55 (55) | 25 (25) | 205 | 4 |
| Unavailability of sufficient labor | 56 (56) | 22 (22) | 22 (22) | 166 | 5 |
| Low volume of fish to sell | 44 (44) | 49 (49) | 7 (7) | 163 | 6 |
| Unavailability of transport | 43 (43) | 55 (55) | 2 (2) | 159 | 7 |
Notes: Figure shown in the parenthesis indicates the percentage of respondents in each category.
Fig. 6Strategies followed by the fish farmers and fishers to combat COVID-19. Note: Responses are mutually exclusive.
Fig. 7Strategies followed by the fish traders to handle the disruption of market forces. Note: Responses are mutually exclusive.