| Literature DB >> 36091578 |
Namgay Dorji1, Satoshi Yamazaki1,2, Pema Thinley3.
Abstract
The COVID-19 pandemic and related policy responses have exacerbated global food and nutrition insecurity by disrupting supply chains and destroying livelihoods. Previous studies show that the impact has been particularly severe for poor populations with limited livelihood options, who already faced food insecurity before the pandemic struck. This paper describes how COVID-19-related policy responses have impacted low-income, subsistence-oriented fish farmers in Bhutan. Based on nationally representative data collected between November 2020 and January 2021, the paper documents the responses of 353 Bhutanese fish farmers to the altered operating conditions and market disruptions caused by COVID-19. Results indicate that these farmers' access to inputs such as fish seed have suffered substantial disruptions. However, on the output side of the supply chain, some farmers have made significant gains in terms of increased demand and higher fish prices in informal markets. Furthermore, the food security of most farmers has suffered minimal impact. Overall, Bhutanese fish farmers have proved to be robust to COVID-19-induced adverse outcomes relative to commercial aquaculture producers elsewhere. Small-scale, subsistence-oriented production of fish along with other crops has benefitted the Bhutanese fish farmers by shielding them from the negative economic outcomes associated with market shocks and by directly preserving their food security. Nevertheless, the fish farmers require critical support to access essential inputs and upscale or maintain production infrastructure, so that they can continue fish production during the COVID-19 pandemic and become more robust in the long run.Entities:
Keywords: Bhutan; COVID-19; Disruptions; Policy responses; Robustness; Small-scale aquaculture
Year: 2022 PMID: 36091578 PMCID: PMC9444249 DOI: 10.1016/j.aquaculture.2022.738781
Source DB: PubMed Journal: Aquaculture ISSN: 0044-8486 Impact factor: 5.135
Fig. 1Map of Bhutan showing study sites, the location of the NR&DCA and RCA, and the domestic and Indian routes that fish farmers in Samtse use to transport fish seed from the NR&DCA.
Dzongkhag-wise population and sampling distribution of fish farmers.
| Dzongkhag | Dzongkhag fish farmer population (Nos) | Percentage contribution to national fish farmer population (%) | Number of fish farmers recruited into sample (Nos) | Percentage of population sampled (%) |
|---|---|---|---|---|
| Chhukha | 25 | 4.94 | 15 | 60.00 |
| Dagana | 54 | 10.67 | 36 | 66.67 |
| Others | 31 | 6.12 | 19 | 61.29 |
| Mongar | 13 | 2.57 | 0 | 0.00 |
| Samdrupjongkhar | 89 | 17.59 | 69 | 77.53 |
| Samtse | 84 | 16.60 | 78 | 92.86 |
| Sarpang | 70 | 13.83 | 59 | 84.29 |
| Tsirang | 140 | 27.67 | 77 | 55.00 |
| Total | 506 | 353 |
Effect variables for assessing the overall impact of COVID-19-related policy measures on Bhutanese aquaculture.
| Variable | Definition of outcome for impact assessment |
|---|---|
| Fish seed for initial stocking | Impacted if has become difficult or impossible to obtain |
| Fish seed for subsequent stocking | Impacted if has become difficult or impossible to obtain |
| Fish farming equipment such as cast net | Impacted if has become difficult or impossible to obtain |
| Commercial feed | Impacted if has become difficult or impossible to obtain |
| Non-commercial feed | Impacted if has become difficult or impossible to obtain |
| Inorganic fertilizer | Impacted if has become difficult or impossible to obtain |
| Organic manure | Impacted if has become difficult or impossible to obtain |
| Paid labour | Impacted if has become difficult or impossible to obtain |
| Ice for fish storage | Impacted if has become difficult or impossible to obtain |
| Transport for fish farming activities | Impacted if has become difficult or impossible to obtain |
| Extension advice and services | Impacted if has become difficult or impossible to obtain |
| Do initial stocking | Impacted if did earlier or later than usual time |
| Do subsequent stocking | Impacted if did earlier or later than usual time |
| Harvest fish | Impacted if harvested earlier or later than usual time |
| Cost of input transportation | Impacted if paid higher or lower than the usual cost |
| Amount of fish processed | Impacted if processed more or less than amount usually processed |
| Store fish unprocessed | Impacted if stored more or less than amount usually stored |
| Wage paid to hired labour | Impacted if paid higher or lower than the usual wage |
| Selling fish at farmgate | Impacted if has become difficult or impossible |
| Selling fish at marketplace | Impacted if has become difficult or impossible |
| To take fish to marketplace | Impacted if has become difficult or impossible |
| Cost of transporting table fish to marketplace | Impacted if has paid higher or lower than the usual cost |
| Number of people visiting farm to buy fish | Impacted if has decreased or increased |
| Selling price of fish | Impacted if has sold at a higher or lower than usual price |
Fig. 2Number of fish farmers reporting different numbers of effect variables pertaining to input accessibility, husbandry practices and output marketing through which they have experienced the impact of COVID-19-related policy responses.
Fig. 3Perceived timing of the start of COVID-19's impact by Dzongkhags.
Fig. 4Timing of initial and subsequent stockings by Dzongkhags.
Fig. 5Timing of table fish harvest by Dzongkhags.
Fig. 6Accessibility of fish seed by Dzongkhags.
Fig. 7Cost of transporting inputs by Dzongkhags.
Fig. 8Number of people visiting fish farms with intention to buy fish.
Fig. 9The price of table fish.
Critical government support required by Bhutanese fish farmers to sustain and boost fish production during and after the COVID-19 pandemic.
| Desired support | Observed frequency | 95% Acceptance interval for reference distribution | Percentage contribution to total support types | Rank | |
|---|---|---|---|---|---|
| Lower bound | Upper bound | ||||
| Feed | 118 | 29 | 39 | 42.91 | 1** |
| Fingerlings | 69 | 27 | 34 | 25.09 | 2** |
| Excavate/Expand/Maintain pond | 40 | 26 | 32 | 14.55 | 3** |
| Improve water supply | 29 | 25 | 30 | 10.55 | 4* |
| Improve farm security | 7 | 24 | 28 | 2.55 | 5 |
| Fish marketing | 3 | 23 | 27 | 1.09 | 6 |
| Equipment | 3 | 21 | 26 | 1.09 | 7 |
| Training | 2 | 20 | 25 | 0.73 | 8 |
| Reliable extension services | 2 | 18 | 24 | 0.73 | 9 |
| Transportation | 1 | 16 | 23 | 0.36 | 10 |
| Others | 1 | 13 | 21 | 0.36 | 11 |
| Fingerlings | 68 | 22 | 31 | 36.76 | 1** |
| Feed | 38 | 20 | 26 | 20.54 | 2** |
| Improve water supply | 23 | 19 | 24 | 12.43 | 3* |
| Excavate/Expand/Maintain pond | 15 | 18 | 22 | 8.11 | 4 |
| Transportation | 13 | 17 | 21 | 7.03 | 5 |
| Others | 9 | 16 | 20 | 4.86 | 6 |
| Fish marketing | 9 | 15 | 19 | 4.86 | 7 |
| Training | 5 | 13 | 18 | 2.70 | 8 |
| Equipment | 4 | 11 | 17 | 2.16 | 9 |
| Reliable extension services | 1 | 8 | 15 | 0.54 | 10 |
Note: This table reports the results of the analysis of reported desired support as per the method proposed by Wilkinson (2006). Total observed frequencies are 275 and 185 for the most important and second most important support categories, respectively. For any support type, if its observed frequency exceeds the upper bound of the 95% acceptance interval for the reference distribution, it is a critical support. In line with this, ** indicates a critical support type and * indicates a marginally critical support type. For technical details of the analysis, see Wilkinson (2006).