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1 – 9 of 9John Owusu-Afriyie, Priscilla Twumasi Baffour and William Baah-Boateng
This study seeks to estimate union wage effect in the public and private sectors of Ghana, respectively. It also seeks to ascertain whether the union wage effect in the two…
Abstract
Purpose
This study seeks to estimate union wage effect in the public and private sectors of Ghana, respectively. It also seeks to ascertain whether the union wage effect in the two sectors varies.
Design/methodology/approach
The authors use data from the Ghana Living Standards Survey 6 (GLSS 6, 2012/2013) and Ghana Labour Force Survey (GLFS, 2015). In terms of estimation technique, the authors employ the Blinder–Oaxaca decomposition technique to estimate union wage effect in public and private sectors, respectively.
Findings
The findings indicate that union wage effect in the public sector is positive and higher relative to that of the private sector.
Practical implications
The findings imply that strict enforcement of Section 82 of Labour Act 2003 (Act 651) will curb the political influence of public sector unions over their employer (Government).
Originality/value
This research paper has not been presented to any journal for publication and it is the authors' original work.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2023-0045
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Khaled Nasri, Mohamed Anis Ben Abdallah and Fethi Amri
This study aims to investigate the impact of job loss on the mental health of individuals in Tunisia during the COVID-19 crisis.
Abstract
Purpose
This study aims to investigate the impact of job loss on the mental health of individuals in Tunisia during the COVID-19 crisis.
Design/methodology/approach
In this research, the authors use the counterfactual decomposition technique and the potential outcome approach. In the first part, the authors calculated mental health indicators for all individuals included in the sample based on the World Health Organization-5 items. The individuals were then grouped into two subpopulations: the first group included those who had lost their jobs and the second group included individuals whose status in the labor market had remained unchanged. In the second part, the authors used the Blinder and Oaxaca decomposition to explain the mean difference in the mental health scores between the two groups and determine the factors contributing to this difference.
Findings
The empirical results identified symptoms of depressed mood, decreased energy and loss of interest in several individuals. Based on these three symptoms, the authors were able to classify individuals into three types of depression: mild, moderate and severe. In addition, it appeared that job loss had significantly contributed to the worsening mental health of the individuals.
Originality/value
Although the psychological impact of the COVID-19 outbreak among health-care professionals has been the subject of other studies in health literature on Tunisia, to the best of the authors’ knowledge, no research has addressed the impact of job loss on the mental health of Tunisian workers. Thus, this study fills this gap in the literature.
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Financial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In…
Abstract
Purpose
Financial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In line with this argument, this study aims to examine whether financial inclusion enhances agricultural participation and decompose the significance of the difference in determinants of agricultural participation between financially included – not financially included households and digital finance – no digital finance households.
Design/methodology/approach
This study uses Pakistan’s household integrated economic survey 2018/19 to test hypotheses. The logit model is used to examine the effect of financial inclusion on agriculture participation. Moreover, this study employs a nonlinear Fairlie Oaxaca Blinder technique to investigate the difference in determinants of agricultural participation.
Findings
This study reports that financial inclusion positively influences agricultural participation, meaning households may have access to financial services and participate in agricultural activities. The results suggest that the likelihood of participating in agriculture in households with mobiles and smartphones is higher. Moreover, household size, income, age, gender, education, urban, remittances from abroad, fertilizer, pesticides, wheat, cotton, sugarcane, fruits and vegetables are the significant determinants of agricultural participation. To distinguish the financially included – not financially included households’ gap, this study employs a nonlinear Fairlie Oaxaca Blinder decomposition and finds that differences in fertilizer explain the substantial gap in agricultural participation. Likewise, this study tests the digital finance – no digital finance gap and finds that the difference in fertilizer is a significant contributor, describing a considerable gap in agricultural participation.
Research limitations/implications
Empirically identified that various factors cause agricultural participation including financial inclusion and digital finance. Regarding the research limitation, this study only considers a developing country to analyze the findings. However, for future research, scholars may consider some other countries to compare the results and identify their differences.
Practical implications
The accessibility of fertilizer can reduce the agricultural participation gap. However, increased income level, education and cotton and sugar production can also overcome the differences in agriculture participation between digital finance and no digital finance households.
Originality/value
This is the first study to decompose the difference in determinants of agricultural participation between financially and not financially included households.
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David J. Williams and Francisco Scott
Nonfamily farms are responsible for a disproportionate amount of US agriculture production. The importance of these operations to the volume of agriculture production in the…
Abstract
Purpose
Nonfamily farms are responsible for a disproportionate amount of US agriculture production. The importance of these operations to the volume of agriculture production in the United States has led researchers and policymakers to understand nonfamily farms as large commercial operations. This paper examines whether the distinction between family and nonfamily helps explain the financial outcomes of farm operations and households.
Design/methodology/approach
We test for differences in financial outcomes of the household and operations of family and nonfamily farms using an Oaxaca-Blinder decomposition. We compare these results to a decomposition of other possible typologies.
Findings
We present evidence that nonfamily farms are a heterogeneous group with a majority of small operations that are dominated by a small number of large operations. We discover that differences associated with the family-nonfamily distinction are largely explained by observable farm and operator characteristics that arise mechanically from the definition. However, we find suggestive evidence that family-nonfamily classification captures differences in economic behavior that lead to higher profitability measures to nonfamily farms. We find little evidence of any inherent structural differences between family and nonfamily farms that helps explain financial outcomes related to leverage or household finances.
Practical implications
We conclude that including nonfamily farms in official statistics of farm households may provide a more comprehensive overview of the farm sector, as our results suggest that family and nonfamily farms do not have innate differences that help explain many of their financial outcomes.
Originality/value
We incorporate previously unused data on nonfamily farm households and test the difference in mean financial outcomes between family and nonfamily farms.
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Nunzia Nappo and Giuseppe Lubrano Lavadera
The main aim of this study was to examine gender differences in job satisfaction in Europe.
Abstract
Purpose
The main aim of this study was to examine gender differences in job satisfaction in Europe.
Design/methodology/approach
For the empirical analysis, data from the Sixth European Working Conditions Survey were used. Oaxaca–Blinder decomposition with a principal component analysis (PCA) aggregated variable, after unconditional quantile regressions in a multiple imputation background, was implemented.
Findings
Women report higher job satisfaction than men do. Women were significantly more satisfied than men for the middle levels of the job satisfaction distribution.
Originality/value
This study expands the evidence on the determinants of job satisfaction in the European labour market by applying a recent form of decomposition that invests in unconditional quantile regression (UQR). To the best of this study knowledge, this is the first time that the Oaxaca–Blinder decomposition with a PCA aggregated variable after unconditional quantile regression has been employed to study gender-based differences in job satisfaction.
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Bomikazi Zeka and Abdul Latif Alhassan
While the extant literature has explored issues related to the access, usage and availability of financial services, the ability of households to withstand financial adversities…
Abstract
Purpose
While the extant literature has explored issues related to the access, usage and availability of financial services, the ability of households to withstand financial adversities, particularly those living under economically vulnerable conditions, requires further attention. The paper presents a gendered analysis of financial resilience behaviour in South Africa.
Design/methodology/approach
Using a nationally representative sample of 4,880 households, this paper constructs a financial resilience behaviour index (FRBI) covering savings, credit, insurance, and retirement planning behaviours. The gendered effect of demographic characteristics on financial resilience is examined using the ordinary least square and seemingly unrelated regression techniques.
Findings
The results show that low levels of financial resilience were present across the sample with insurance observed to be the greatest driver of financial resilience, followed by retirement planning, savings and credit respectively. Furthermore, the analysis highlights that a gender gap in financial resilience exists as men are characterized with higher financial resilience behaviour compared to women. The results also suggest that employed women and women with higher levels of education are associated with greater financial resilience.
Practical implications
Based on these results, improving access to higher education and employment opportunities for women will enhance their financial resilience and contribute towards addressing SDG (5) on gender equality.
Originality/value
As far as the authors are aware, this paper presents the first empirical analysis of the gender gaps in socio-demographic characteristics that explain financial resilience in South Africa.
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Harish Kumar Singla and Sitara Sunil Chammanam
The purpose of this study is to develop a financial performance measurement model for real estate business.
Abstract
Purpose
The purpose of this study is to develop a financial performance measurement model for real estate business.
Design/methodology/approach
The study uses balanced scorecard (BSC) proposed by Kaplan and Norton (1996) as a theoretical support. The study, being exploratory in nature, uses survey method to collect data on several dimensions of BSC as well as on other performance measures used by real estate businesses in India. The survey data collected is analyzed using exploratory factor analysis (EFA) to explore the model constructs. This is followed by building an integrated conceptual model for measuring the financial performance of a real estate business. The model is tested using partial least squares structural equation modeling (PLS-SEM).
Findings
The study finds that the financial performance of the real estate business revolves around customer satisfaction, employee satisfaction and external networks. The right alignment of these components lead to superior financial performance. It also provides a competitive advantage to the real estate business. These three components (customer satisfaction, employee satisfaction and external networks) have direct and indirect influences on the financial performance of real estate business.
Research limitations/implications
A small sample size (78 respondents), as well as the respondent’s geographical concentration in India, are the limitations of the study. Hence, generalization of findings may be difficult until the findings are validated across the globe.
Practical implications
The conceptual performance measurement model suggested in this research provides an effective tool to plan and strategize to achieve superior financial performance, particularly for stakeholders in the real estate business.
Originality/value
To the best of the authors’ knowledge and belief, this is the first attempt to develop a comprehensive financial performance measurement model for real estate business and test it using EFA and PLS-SEM.
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Cong Doanh Duong and Ngoc Xuan Vu
This research adopts the social cognitive career theory (SCCT) and a moderated mediation model to investigate the moderating impacts of entrepreneurial fear of failure (FOF) and…
Abstract
Purpose
This research adopts the social cognitive career theory (SCCT) and a moderated mediation model to investigate the moderating impacts of entrepreneurial fear of failure (FOF) and gender on the direct and mediation relationships between entrepreneurial education (EE), entrepreneurial self-efficacy (ESE) and entrepreneurial intention (EI).
Design/methodology/approach
The authors utilized a three-phase random sampling to compile a dataset from 1,890 graduate students from nine universities and higher education institutions in Vietnam. Cronbach's alpha and confirmatory factor analysis results showed that the key study variables were reliable and valid. Harman's single-factor method and other tests of analysis assumptions ruled out common method bias and other confounding factors. The authors utilized the PROCESS macro to test a hypothesized moderated mediation model that included direct, indirect and conditional indirect effects.
Findings
The findings yield that ESE partially and positively mediates the relation between EE and EI. FOF was found to negatively moderate the impacts of EE on ESE and EI, and the direct effect of ESE on EI among females is stronger than among males. More importantly, the mediation influence of FOF on the linkage between EE and EI becomes weaker when the level of FOF is high, yet this mediation relationship among females is higher than among males at all levels of FOF.
Practical implications
The results of this research are valuable for educators, policymakers and practitioners so that they may inspire individuals' entrepreneurial pursuits, especially those of female entrepreneurs.
Originality/value
This study significantly contributes to the entrepreneurship and gender literature by applying the SCCT to elucidate the moderated mediation impacts of FOF, ESE and gender on the relationship between EE and EI.
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Although karmic beliefs have been found to be positively correlated with pro-social behaviors, the role of karmic beliefs in social entrepreneurship remains relatively unknown…
Abstract
Purpose
Although karmic beliefs have been found to be positively correlated with pro-social behaviors, the role of karmic beliefs in social entrepreneurship remains relatively unknown. Drawing on the morally extended theory of planned behavior, this paper aims to explore the karmic aspect of social venturing, wherein individuals’ social entrepreneurial intentions and their moral antecedents are activated by karmic beliefs.
Design/methodology/approach
The study was performed on a sample of 401 university students in Vietnam. Cronbach’s alpha, confirmatory factor analysis and hierarchical regression analyses were then used to test the reliability, validity of scales and developed hypotheses.
Findings
The findings illustrate that karmic beliefs are strongly and positively correlated with empathy, moral obligation, social entrepreneurial self-efficacy and perceived social support. Moreover, individuals’ social entrepreneurial intentions are not only significantly and directly stimulated by karmic beliefs but also receive the indirect effects of karmic beliefs through three mediators: empathy, moral obligation and social entrepreneurial self-efficacy.
Originality/value
The study added fresh perspectives on the role of karmic beliefs in social entrepreneurship literature. Additionally, this study shed a new light on entrepreneurial literature by morally extending theory of planned behavior to explore underlying mechanisms of moral and empathetic components on transferring the effects of karmic beliefs on social entrepreneurial intentions.
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