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Article
Publication date: 20 November 2020

Chinedu Obi, Fabio Bartolini and Marijke D’Haese

This paper aims to explore the connectivity between social media use, access to migrant networks, information asymmetry and migration intentions.

Abstract

Purpose

This paper aims to explore the connectivity between social media use, access to migrant networks, information asymmetry and migration intentions.

Design/methodology/approach

The study was conducted using data from individuals living in Nigeria and analysed with a generalized structural equation model, which is rare for this kind of research.

Findings

The authors find a dual mediating role of the social media and the migrant networks in facilitating migration, i.e. reducing the threshold cost required to migrate and introducing a bias in terms of information asymmetry. While social media and access to migrant networks directly increase migration intentions, this changes when incomplete information is provided. People who use social media and their migrant networks for information are more likely to have information about destination countries than information on the transit risk.

Social implications

The study adds valuable insights for designing awareness campaigns aimed at reducing irregular migration.

Originality/value

This study contributes to the understanding of the intersection of migration and digitalization

Details

Digital Policy, Regulation and Governance, vol. 23 no. 1
Type: Research Article
ISSN: 2398-5038

Keywords

Article
Publication date: 10 February 2022

Fang Li, Shuyi Feng, Hualiang Lu, Futian Qu and Marijke D'Haese

This paper investigates the relationship between plot size and fertilizer use efficiency (FE) in Chinese large-scale farming and searches for the underlying mechanisms that…

Abstract

Purpose

This paper investigates the relationship between plot size and fertilizer use efficiency (FE) in Chinese large-scale farming and searches for the underlying mechanisms that explain this relationship.

Design/methodology/approach

Based on a household- and plot-level data set of large-scale production units (LSPUs) from Jiangsu and Jiangxi Provinces, the technical and fertilizer use efficiency of large-scale rice production is estimated by applying a translog stochastic frontier production function. The authors impose a monotonicity condition on the translog frontier using a three-step procedure to get theoretically consistent efficiency estimates. A beta regression model is then used to explore the association between plot size and LSPUs' efficiency in fertilizer application.

Findings

The average FE for the sampled plots is around 30%, which shows a large potential for LSPUs to reduce fertilizer use. A U-shaped relationship is observed between plot size and FE. The authors relate this non-linear pattern to the substitution of labour with capital-intensive technology and the efficiency differences in terms of farming performance between family and hired workers.

Originality/value

First, according to the authors’ knowledge, this paper is a first attempt to study the size–efficiency relationship focussing on fertilization practices of large-scale farming. The second contribution lies in the large-scale ranges of the plot-level data set. Third, efforts are made to reveal the mechanisms determining the plot size–FE relationship. Fourth, the authors provide guiding evidence for policymaking, as they show that the size of individual plots deserves equal attention in land consolidation decisions. Methodologically, this paper improves existing estimates of single-factor technical efficiency issued from a restricted production frontier model.

Details

China Agricultural Economic Review, vol. 14 no. 3
Type: Research Article
ISSN: 1756-137X

Keywords

Article
Publication date: 5 October 2015

Wytse Vellema and Marijke D'Haese

The purpose of this paper is to analyse the extent to which transaction cost theory on hybrid governance structures can explain hybrid personalities observed in the South African…

Abstract

Purpose

The purpose of this paper is to analyse the extent to which transaction cost theory on hybrid governance structures can explain hybrid personalities observed in the South African sugar industry.

Design/methodology/approach

Three governance structures used simultaneously by the same company to purchase sugar cane from small-scale growers are described in detail. One of these structures is close to a market arrangement, the other two are hybrids. The discriminating alignment hypothesis and more recent work on hybrid models are used to explain the factors driving the choice for a hybrid arrangement and determining their specific form. Factors not covered by theory are identified.

Findings

At least two areas would need to be included to explain the specific form taken by the studied governance structures: production characteristics and financial constraints of the transacting parties. Furthermore, the importance of national and local regulations in affecting organizational form by determining what is and is not possible is demonstrated.

Research limitations/implications

This case study highlights limitations of current theory in fully explaining the “personality” of governance structures. Future work should not shun the finer details of governance structures and their interaction with the institutional environment.

Social implications

Inclusive business models are promoted as tools for poverty alleviation and economic development. Public involvement plays an important role, however, more research is required to understand its reach and leverage its full potential.

Originality/value

This paper is the first to rigorously apply transaction cost theory to inclusive business models in agricultural sourcing, an area which is rapidly gaining prominence on the development agenda. It shows that a complete understanding requires going beyond current theory.

Details

British Food Journal, vol. 117 no. 10
Type: Research Article
ISSN: 0007-070X

Keywords

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