This paper investigates the determinants of and trends in credit demand and credit constraints of households with respect to both formal and informal financial institutions in Ghana. Trends and explanatory factors over 1992-2013 using pooled data from four Ghana Living Standards Surveys are analysed using the Heckman Probit model. Estimates for the full population reveal that tertiary education is a significant determinant of both credit requests (positively) and credit constraints (negatively). In the rural population, household heads that were widowed or separated and those that lived below the poverty line are more likely to request credit and also more likely to experience credit constraints. In the urban population, the aged are less likely to request credit but more likely to experience credit constraints. The policy implication is that financial inclusion measures targeted to people living below the poverty line, the widowed and separated in rural communities are needed to respond to their relatively high demand for credit services and overcome their exclusion from access to credit that could help in generating income to reduce poverty. The sex of a household head is significant for binding credit constraints in the full population and the urban sample, but not significant in the rural sample. Surprisingly, the study finds a decline in the proportion of households requesting credit in the full population as well as rural and urban areas, indicating increasing self-exclusion.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569385 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2021.e08162 | DOI Listing |
Behav Res Methods
January 2025
Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands.
Researchers face inevitable difficulties when evaluating theory-based hypotheses in the context of contingency tables. Log-linear models are often insufficient to evaluate such hypotheses, as they do not provide enough information on complex relationships between cell probabilities in many real-life applications. These models are usually used to evaluate the relationships between variables using only equality restrictions between model parameters, while specifying theory-based hypotheses often also requires inequality restrictions.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Human Sciences, College of Education and Human Ecology, The Ohio State University, Columbus, Ohio, United States of America.
This study focuses on the initial wave of the COVID-19 pandemic in Spring 2020 in the United States to assess how liquidity constraints were related to loneliness among older adults. Data are from the COVID Impact Survey, which was used to collect data in April, May and June 2020 across the U.S.
View Article and Find Full Text PDFPLoS One
January 2025
Commercialization Division, CSIR-Soil Research Institute, Kumasi, Ghana.
Addressing global food security demands urgent improvement in agricultural productivity, particularly in developing economies where market imperfections are perverse and resource constraints prevail. While microcredit is widely acknowledged as a tool for economic empowerment, its role in facilitating agricultural technology adoption and improving agricultural incomes remains underexplored. This study examines the synergistic effects of microcredit access and agricultural technology adoption on the incomes of maize farmers in Kenya.
View Article and Find Full Text PDFHeliyon
December 2024
École d'Agrobusiness et de Politiques Agricoles (EAPA), Université Nationale d'Agriculture (UNA), Porto-Novo, Benin.
This paper analyses the credit constraints' effect on non-farm entrepreneurship entry decisions in Benin. Using data from a sample of 512 farmers, we determine the factors that influence credit constraints and then assess the effect of credit constraints on non-farm entrepreneurship decisions based on an endogenous switching probit model and propensity score matching (PSM). The results of endogenous switching regression reveal that age and access to extension services are the main determinants of credit constraints while age, sex, household size, marital status, education level and farmer-based organisation (FBO) membership significantly increase farmers' decisions to engage in non-farm entrepreneurship.
View Article and Find Full Text PDFMicrobiome
December 2024
Simon F. S. Li Marine Science Laboratory, School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Background: Tibetan Plateau is credited as the "Third Pole" after the Arctic and the Antarctic, and lakes there represent a pristine habitat ideal for studying microbial processes under climate change.
Results: Here, we collected 169 samples from 54 lakes including those from the central Tibetan region that was underrepresented previously, grouped them to freshwater, brackish, and saline lakes, and generated a genome atlas of the Tibetan Plateau Lake Microbiome. This genomic atlas comprises 8271 metagenome-assembled genomes featured by having significant phylogenetic and functional novelty.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!