The role of fisheries for poverty reduction and food security: Evidence from household‐level data
| Published date | 01 May 2022 |
| Author | Antonio Martuscelli |
| Date | 01 May 2022 |
| DOI | http://doi.org/10.1111/rode.12855 |
1056
|
wileyonlinelibrary.com/journal/rode Rev Dev Econ. 2022;26:1056–1082.
© 2022 John Wiley & Sons Ltd
1
|
INTRODUCTION
The efforts of the international community to end hunger, reduce poverty, and encourage
sustainable natural resource management have recently converged under the United Nations
Sustainable Development Agenda Goals.1. The role of small- scale fisheries in achieving such
Received: 8 June 2021
|
Revised: 14 December 2021
|
Accepted: 20 December 2021
DOI: 10.1111/rode.12855
REGULAR ARTICLE
The role of fisheries for poverty reduction and
food security: Evidence from household- level
data
AntonioMartuscelli
LUMSA University, Roma, Italy
Correspondence
Antonio Martuscelli, LUMSA University,
Borgo S. Angelo, 13, 00193 Roma RM,
Italy.
Abstract
Though fisheries can contribute to nutritional needs,
food security, poverty alleviation, and sustainable natu-
ral resource management in many developing countries,
their role in the achievement of sustainable develop-
ment goals is often overlooked. Accordingly, data on the
socioeconomic characteristics and living conditions of
fishing communities and households are limited. This
study contributes to a better understanding of fishing-
related livelihoods by analyzing household survey data
relating to the food security, poverty, and livelihoods of
fishing households. It reveals that, in many countries,
fishing households have a lower probability of falling
below the poverty line, with improved food security and
nutrition indicators, showing that fisheries can, indeed,
be an important ally in the fight against poverty, hun-
ger, and food insecurity.
KEYWORDS
development, fishery, food security, poverty
JEL CLASSIFICATION
I30; Q01; Q22
|
1057
MARTUSCELLI
goals is potentially significant, and interest is growing in the socioeconomic characteristics of
fishing communities and in the contribution of fisheries and aquaculture to food security, pov-
erty alleviation, improved livelihoods, and sustainable natural resource management in develop-
ing countries. The need to better understand fishery- related livelihoods to develop more effective,
evidence- based poverty reduction strategies has been recently advocated by several authors (Béné
et al., 2016; FAO, 2018; HLPE, 2014; Martin et al., 2013).
However, quantitative information on the socioeconomic characteristics and living condi-
tions of fishing communities and households is still limited. The fundamental lack of reliable
micro- level data on fisheries and aquaculture is concerning given the importance of the sector,
and the fact that the availability of good quality micro- level data has been identified as one of
the most important components of development analysis and policy (Heckman, 2001). Detailed
information on individuals, households, and enterprises is needed to understand their socioeco-
nomic conditions, analyze their behaviors, and, eventually, design effective policies. Data collec-
tion efforts regarding fisheries have mainly focused on production (e.g., estimating catches and
dedicated effort) and environmental and biological dimensions (Berg & Kaiser, 2017). Micro-
data on the social and economic characteristics of households involved in fishing activities are,
however, particularly limited due, in part, to difficulties involved in reaching the many fishing
communities that are located in isolated areas (Kolding et al., 2014).2. This study contributes to
the literature on small- scale fisheries by looking at available micro- level data on small- scale fish-
eries contained in nationally representative household surveys in 11 developing countries, and
analyzing the data in relation to poverty and food security.3.
The literature (Béné, 2003; Thorpe et al., 2007) on fisheries has debated the role of fishing
as a livelihood strategy for the poor. Some early studies (Bailey & Jentoft, 1990; Copes, 1989;
Cunningham, 1994; FAO, 2009; Gordon, 1954) suggested that the poorest households relied more
on common resources such as fishery and forestry due to their open access nature, and that
fishing activities and the overexploitation of common resources are among the main causes of
poverty among fishing households. Alternative analyses have pointed out that fishing can be part
of a livelihood diversification strategy involving the broader community and relatively wealthier
households (Béné & Obirih- Opareh, 2009; Garaway, 2005; Kremer, 1994). According to this view,
fishing is more than simply a last resort for the poor. Smith et al. (2005) have shown that fishing
can play very different roles in the livelihoods of rural people. Specialization fishing is relatively
less frequent, and many households engage in fishing as part of farm- centered, complex, and
diverse livelihoods. Moreover, Martin et al. (2013) show how participation in fishing is highly
compatible with farming, the frequent case of fish- farmers who are able to diversify their income
sources.
More recently, the debate has developed a more nuanced vision of the relationship between
fishing and poverty, according to which poverty among fishing communities relates not so strictly
to the resources available to them, but to various aspects such as the inadequateness of public
services, low levels of education, the absence of social protection schemes, and issues of political
representation (Béné et al., 2007). Indeed, poverty can be found in remote fishing communities
with relatively high catch volumes but low access to health, education, and other public services.
Furthermore, fish has been recognized as an important source of nutrients in a healthy diet.
The availability of high- nutritional content food among low- income communities in developing
countries can be an important factor in reducing malnutrition and food insecurity. However,
empirical evidence, based on hard data, is scarce. Several studies relying on geographically lim-
ited socioeconomic data present contrasting evidence (Allison, 2004; Herrin & Racelis, 1994;
Teh & Sumaila, 2007; Tietze et al., 2000). This study contributes to the literature by analyzing a
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeStart Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting