| Literature DB >> 36247031 |
Netsayi Noris Mudege1, Catherine Mawia Mwema1, Keagan Kakwasha1, Andrew Chisopo1, Chikondi Manyungwa-Pasani2, Lisungu Banda3, Emmanuel Kaunda3, Pamela Marinda4.
Abstract
This paper explores the impact of the COVID-19 pandemic and the measures to mitigate it on gender dynamics and power relations among men and women involved in cross border fish trade in Zambia and Malawi and the ensuing policy implications to support the fisheries value chain. The paper is based on qualitative and quantitative data collected in Zambia and Malawi in October and November 2021. We conducted quantitative surveys implemented the Cognitive Edge Sensemaker Tool and the Emergency Market Mapping and Analysis toolkit (EMMA to understand the dynamics of cross border fish trade before and during the COVID-19 pandemic. A social relations approach, focusing on gender relations, was used to analyze the data. Findings suggest that women cross-border fish traders are caught up in a complex web of networks and relationships that are disempowering to them. Some measures put in place to mitigate the impact of the COVID-19 pandemic lacked an understanding of the historical perspective and dynamics of women in fish trading communities further marginalizing men and women cross border fish traders. Some measures exacerbated hidden violence against women and overt forms of violence against men. Since most of the violence occur across state boundaries, there is a need for inter-country coordination to ensure that the rights of women and men cross border fish traders are protected. Policy measures could include educating police officers for even-handedness when enforcing COVID-19 rules and providing mechanisms for reporting abusive practices.Entities:
Keywords: COVID-19; Fish trade; Fisheries; Gender; Malawi; Zambia
Year: 2022 PMID: 36247031 PMCID: PMC9547546 DOI: 10.1016/j.marpol.2022.105322
Source DB: PubMed Journal: Mar Policy ISSN: 0308-597X
Fig. 1Location of research areas in Malawi and Zambia.
Descriptive of the survey participants.
| Variable | Zambia | Malawi | ||
|---|---|---|---|---|
| Men | Women | Men | Women | |
| Total Number and Percentage | #40 | #101 | #51 | #86 |
| Age = <35 | 40% | 37.62 | 39.2 | 57 |
| Age = >36 | 60% | 62.38 | 60 | 43 |
| Education Never been to school | 7.5% | 6.93% | 23.53 | 11.63 |
| Some Primary schooling | 10% | 28 | 49.02 | 65.12 |
| Complete Primary School | 22.5% | 18.81 | 6.98 | |
| Some Secondary | 47.5% | 31.68 | 19.61 | 12.79 |
| Completed Secondary | 12.5% | 9.9% | 7.84 | 3.49 |
| Tertiary | 3.96% | |||
| Married | 85 | 45.54 | 98.04 | 76.74 |
| Widowed | 20.79 | 6.98 | ||
| Separated/Divorced | 2.5 | 23.76 | 1.96 | 11.63 |
| Single Never Married | 12.5 | 9.900 | 1.96 | 2.33 |
| Status of Living together / I live with my spouse most of the time | 94.44 | 86.96 | 96.43 | 100 |
| My own savings | 80.00% | 55.43% | 88.89% | 57.5% |
| My spouse | 0.00% | 19.57% | 0.00% | 18.75% |
| My Parents or other relative | 11.43% | 16.30% | 2.22% | 3.75% |
| Friends | 0.00% | 0.00% | 6.67% | 2.50% |
| Village Bank | 2.86% | 3.26% | 2.22% | 13.75% |
| Bank Loan | 0.00% | 0.00% | 0.00% | 1.25% |
| Micro-Finance Institution | 5.71% | 5.43% | 0.00% | 2.50% |
| Other (Specify) | 0.00% | 0.00% | 0.00% | 0.00% |
| Malawi | 0.00% | 0.00% | 18.52% | 13.48% |
| Zambia | 84.62% | 76.52% | 1.85% | 0% |
| Mozambique | 2.56% | 3.48% | 79.63% | 86.52% |
| DRC | 7.69% | 11.3% | 0.00% | 0.00% |
| Other | 5.13% | 8.7% | 0.00% | 0.00% |
Changes in attitudes before and after COVID-19 in Zambia (Survey data).
| Attitudes – Disagree with the following statements | Male | Female | ||||||
|---|---|---|---|---|---|---|---|---|
| Before Covid (%) | After Covid (%) | Coeff. | Before Covid (%) | After Covid (%) | Coeff. | |||
| A man is less of a man is involved in his wife is involved in cross-border - Disagree | 42.86 | 42.86 | 90.22 | 84.78 | 0.957 | 0.027 | ||
| Women who travel to suppliers of inputs or fish buyers or markets deserve to be harassed | 92.19 | 91.43 | 100 | 100 | ||||
| Men should primarily be the ones who control the earnings obtained from the fish trade | 68.57 | 68.57 | 91.30 | 89.13 | 1.000 | 0.000 | ||
| Women should primarily be the ones who prepare meals (including fish) for the household | 31.43 | 34.29 | 65.22 | 63.04 | 0.9873 | 0.010 | ||
| Men should be responsible for marketing fish, not women | 74.29 | 82.86 | 95.65 | 94.57 | 0.9888 | 0.014 | ||
| Men should primarily be the ones who transport fish to a market | 71.43 | 77.14 | 97.83 | 94.57 | 1.00 | 0.00 | ||
| It benefits the family when women are involved in cross-border fish trade | 54.29 | 54.29 | 61.96 | 66.30 | 0.913 | 0.05 | ||
Changes in attitudes before and after covid in Malawi (Survey data).
| Attitudes | Male | Female | ||||||
|---|---|---|---|---|---|---|---|---|
| Before Covid (%) | After Covid (%) | Coeff. | Before Covid (%) | After Covid (%) | Coeff. | |||
| A man is less of a man if his wife is involved in cross-border fish trade | 53.33 | 62.2 | 0.855 | 0.089 | 60.00 | 53.75 | 0.843 | 0.065 |
| Women who travel to suppliers of inputs or fish buyers or markets deserve to be harassed | 88.89 | 91.1 | 1.00 | 0.000 | 97.50 | 91.25 | 0.946 | 0.037 |
| Men should primarily be the ones who control the earnings obtained from the fish trade | 68.89 | 66.7 | 0.9627 | 0.035 | 71.25 | 67.50 | 0.8521 | 0.069 |
| Women should primarily be the ones who prepare meals (including fish) for the household | 42.22 | 37.78 | 0.9732 | 0.028 | 40.00 | 37.50 | 0.8776 | 0.055 |
| Men should be responsible for marketing fish, not women | 71.11 | 68.89 | 0.9706 | 0.031 | 77.50 | 81.25 | 0.940 | 0.037 |
| Men should primarily be the ones who transport fish to a market | 64.44 | 64.44 | 0.9778 | 0.024 | 22.50 | 17.50 | 0.9735 | 0.018 |
| It benefits the family when women are involved in cross-border fish trade | 24.44 | 26.67 | 0.8505 | 0.084 | 22.50 | 17.50 | 0.8710 | 0.06 |
Fig. 2The effects of the COVID-19 pandemic on cross-border fish trade.
Changes in market indicators after the COVID-19 outbreak in Zambia (Survey data).
| Male | Female | ||||||
|---|---|---|---|---|---|---|---|
| Before Covid (%) | During Covid (%) | Magnitude change | Before Covid (%) | During Covid (%) | Magnitude change | ||
| Easily travel to neighboring countries to sell and buy fish | 94.29 | 37.14 | 2.54 | 72.83 | 14.13 | 5.16 | |
| Easily negotiate with middlemen and women | 68.57 | 20.00 | 3.43 | 52.17 | 8.70 | 6.00 | |
| Easily access the market without much difficulty | 97.14 | 45.71 | 2.13 | 93.48 | 30.43 | 3.07 | |
| Easily sell my fish stock at the market without much difficulty | 94.29 | 45.71 | 2.06 | 94.57 | 60.87 | 1.55 | |
Changes in market indicators after COVID-19 outbreak Malawi (Survey Data).
| Male | Female | |||||
|---|---|---|---|---|---|---|
| Before Covid (%) | During Covid (%) | Magnitude change | Before Covid (%) | During Covid (%) | Magnitude change | |
| Easily travel to neighboring countries to sell and buy fish | 95.56 | 33.33 | 2.87 | 93.75 | 18.75 | 5.0 |
| Easily negotiate with middlemen and women | 51.11 | 4.44 | 11.51 | 53.75 | 8.75 | 6.15 |
| Easily access the market without much difficulty | 62.22 | 11.11 | 5.6 | 77.5 | 8.75 | 8.86 |
| Easily sell my fish stock at the market without much difficulty | 51.0 | 8.89 | 5.74 | 71.25 | 3.75 | 19.0 |
COVID-19 related market participation constraints for men and women.
| Malawi | Zambia | |||
|---|---|---|---|---|
| Men | Women | Men | Women | |
| X | ||||
| X | X | |||
| X | X | X | X | |
| Being killed by police in Mozambique | X | |||
| Increased sexual harassment, rape and abuse by police in Mozambique | X | |||
| Taking away passes from chiefs in Malawi/ no more passes in Zambia. | X | X | X | |
| Increased corruption and bribery in Mozambique | X | X | X | |
| Closure of borders | X | X | X | X |
| Family instability | X | X | ||
| X | ||||
| Increased sex for fish when purchasing fish in Mozambique | X | |||
| Limited freedom of mobility on the market | X | X | X | |
| Lack of access to health services in Mozambique | X | X | ||
| Sexual harassment and rape in Mozambique | X | |||
| Limited access to physical markets in Mozambique | X | |||
| Increased incidence of sex for fish in Mozambique | X | |||
| Increase in the number of cross-border traders | X | X | ||
| Difficulty to access financial support | X | |||
Source data: Value chain mapping EMMA workshops
Fig. 3Power and freedom among cross border fish traders in Malawi before and after the outbreak of COVID 19.
Fig. 4Power to decide and freedom of mobility for cross border fish traders before and after the outbreak of COVID-19 in Zambia.