| Literature DB >> 34025218 |
Abstract
A few studies in West Africa describe the state of borders, particularly their poorly governed and porous nature. This study strove to add to the scant literature by assessing the cross-border migration patterns (modes of travel and routes of entry) of seven hundred and seventy-nine (779) West African itinerant immigrant retailers in the Accra Metropolitan Area of Ghana. The study was cross-sectional and adopted the concurrent nested mixed methods research approach. Interview schedule and interview guide were used to collect the data for analysis. The Statistical Package for the Social Sciences (SPSS) version 21 was used to analyse the quantitative data. The results show that most of the immigrants travelled to their destination (Ghana) by land, using buses and mostly through unapproved routes. Immigrants without travel documents and those who regarded border officials as extortionists were amongst those who mostly travelled through unapproved routes. Statistically, significant relationships were found between routes of entry and key demographic variables such as country of origin, gender, and marital status. It emerged that immigrants who were unmarried men and those from Togo, Burkina Faso, Niger, and Nigeria have the highest odds of migrating to the destination through unapproved routes. The study recommends that government through the Ghana Immigration Service should roll out effective border surveillance to ensure the orderly and regular migration of immigrants into the country. Also, any migration management policy which aims at stemming the current migration trend should be contextualised by taking into account the background characteristics of the immigrants involved.Entities:
Keywords: Ghana; Immigrant retailers; Modes of travel; Routes of entry; West Africa
Year: 2021 PMID: 34025218 PMCID: PMC8121370 DOI: 10.1007/s12134-021-00839-9
Source DB: PubMed Journal: J Int Migr Integr ISSN: 1488-3473
Fig. 1Framework for understanding the cross-border migration pattern of immigrants. Source: Adapted from Zohry (2011)
Fig. 2Map of Accra Metropolitan Area showing the study communities. Source: GIS Unit of the Department of Geography and Regional Planning (2017)
Sociodemographic characteristics of the immigrant retailers
| Sociodemographics | Percentage | |
|---|---|---|
| Country of origin | ||
| Benin | 39 | 5.0 |
| Burkina Faso | 32 | 4.1 |
| Mali | 176 | 22.6 |
| Niger | 329 | 42.2 |
| Nigeria | 146 | 18.7 |
| Togo | 49 | 6.3 |
| Other | 8 | 1.1 |
| Gender | ||
| Men | 694 | 89.1 |
| Women | 85 | 10.9 |
| Age (completed years) | ||
| <20 | 89 | 11.4 |
| 20–29 | 479 | 61.5 |
| 30–39 | 164 | 20.0 |
| 40–49 | 55 | 7.1 |
| Marital status | ||
| Single | 462 | 59.3 |
| Married | 294 | 37.7 |
| Widowed | 13 | 1.7 |
| Divorced/separated | 10 | 1.3 |
| Educational attainment | ||
| No formal education | 520 | 66.7 |
| Basic education | 188 | 31.1 |
| Secondary/tertiary | 16 | 2.2 |
| Religious affiliation | ||
| Christianity | 23 | 3.0 |
| Islam | 756 | 97.0 |
| Household size | ||
| 1–4 | 335 | 42.5 |
| 5–8 | 250 | 32.6 |
| >8 | 194 | 24.9 |
| Wares traded | ||
| Electronics/accessories | 125 | 12.9 |
| Herbal medicines | 165 | 17.0 |
| Food items | 72 | 7.3 |
| Garments/fabrics | 73 | 7.5 |
| Clothing | 119 | 12.2 |
| Belts/foot wear/bags | 173 | 17.8 |
| Ornaments | 88 | 9.1 |
| DVDs/LCDs | 157 | 16.2 |
| Period of entry into Ghana | ||
| 1997–2001 | 13 | 1.7 |
| 2002–2006 | 56 | 7.2 |
| 2007–2011 | 509 | 65.3 |
| 2012–date | 201 | 25.8 |
| Length of stay in Ghana | ||
| 1–4 | 492 | 63.1 |
| 5–9 | 261 | 24.3 |
| >=10 | 26 | 3.3 |
| Duration in retail trade | ||
| 1–4 | 633 | 81.3 |
| 5–8 | 129 | 16.6 |
| >=9 | 17 | 2.1 |
Modes of travel and routes of entry by sociodemographics
| Mode of travel ( | Route of entry ( | |||
|---|---|---|---|---|
| By bus/vehicle | By foot | Unapproved routes | Approved routes | |
| Variable | (%) | (%) | (%) | (%) |
| Travel mode and route | 71.9 | 28.1 | 58.2 | 41.8 |
| Country of origin | ||||
| Benin | 87.2 | 12.8 | 71.8 | 28.2 |
| B. Faso | 70.0 | 30.0 | 84.4 | 15.6 |
| Mali | 94.5 | 5.5 | 43.2 | 56.8 |
| Niger | 93.7 | 6.3 | 53.2 | 46.8 |
| Nigeria | 100.0 | 0.0 | 56.8 | 43.2 |
| Togo | 63.5 | 36.5 | 75.3 | 24.7 |
| Other | 92.1 | 7.9 | 32.5 | 67.5 |
| Gender | ||||
| Men | 81.6 | 18.4 | 56.5 | 43.5 |
| Women | 98.0 | 2.0 | 24.7 | 75.3 |
| Age (in years) | ||||
| ˂20 | 89.6 | 10.4 | 54.5 | 45.5 |
| 20–29 | 81.8 | 18.2 | 63.1 | 36.9 |
| 30–39 | 93.9 | 6.1 | 32.5 | 67.5 |
| 40–49 | 100.0 | 0.0 | 20.0 | 80.0 |
| Marital status | ||||
| Married | 100.0 | 0.0 | 34.0 | 66.0 |
| Single | 80.7 | 19.3 | 66.5 | 33.5 |
| Widowed | 90.0 | 10.0 | 10.0 | 90.0 |
| Divorced | 100.0 | 0.0 | 38.5 | 61.5 |
| Educational level | ||||
| No edu. | 79.5 | 20.5 | 63.1 | 36.9 |
| Basic edu. | 87.6 | 12.4 | 43.8 | 56.3 |
| Higher edu. | 93.9 | 6.1 | 32.5 | 67.5 |
B. Faso, Burkina Faso; Edu., education; Higher (secondary and tertiary edu.)
Binary logistic regression estimates of choice of unapproved routes
| Unapproved entry routes | ||
|---|---|---|
| Sociodemographics | Odds ratio | |
| Country of origin | ||
| Benin | 0.104 | 1.514 |
| Burkina Faso | 0.000*** | 0.082 |
| Mali | 0.062 | 1.467 |
| Niger | 0.00*** | 0.141 |
| Nigeria | 0.039* | 0.450 |
| Togo | 0.002** | 0.210 |
| Other (RC) | ||
| Gender | ||
| Men | 0.002 | 0.361 |
| Women (RC) | ||
| Age (in years) | ||
| Less than 20 | 0.087 | 0.519 |
| 20–29 | 0.560 | 0.146 |
| 30–39 | 0.217 | 0.208 |
| 40–49 (RC) | ||
| Educational attainment | ||
| No education | 0.142 | 0.447 |
| Basic education | 0.462 | 1.507 |
| Secondary/tertiary (RC) | ||
| Marital status | ||
| Married | 0.284 | 17.770 |
| Single | 0.046 | 2.352 |
| Widowed | 0.689 | 1.391 |
| Divorced (RC) | ||
Omnibus Tests of Model Coefficients (model=163.798; df=14; p<0.050)
Hosmer and Lemeshow test (χ2=10.159; df=8; p>0.050*)
Percentage of variance explained =33.3%
Factors which influenced choices of entry routes by routes of entry
| Reasons for entry routes | Routes of entry | |
|---|---|---|
| Unapproved (%) | Approved (%) | |
| Has no money to finance trip | 95.8 | 4.2 |
| Extortion by border officials | 100.0 | 0.0 |
| Have no travel documents | 100.0 | 0.0 |
| Safety and convenience | 25.6 | 74.4 |
| Attitudes of border officials | 66.7 | 33.3 |
| Unaware of any alternative route | 31.0 | 69.0 |
| Have my travel documents | 1.6 | 98.4 |