Factors affecting women's employment likelihood in a Muslim society: the case of Azerbaijan

2020 ◽  
Vol 47 (8) ◽  
pp. 973-989
Author(s):  
Khatai Aliyev ◽  
Javid Seyfullali ◽  
Narmin Saidova ◽  
Tural Musayev ◽  
Farzali Nuhiyev

PurposeThe purpose of this paper is to examine the determinants of females' likelihood to work in a Muslim society, Azerbaijan.Design/methodology/approachTo obtain more precise results, the authors analyze the relationships of interest in three different contexts: single (unmarried) females (n = 407, M = 0.779, Std. = 0.416), married female (n = 398, M = 0.706, SD = 0.456) and married male (n = 381, M = 0.378, Std. = 0.485). Linear probabilistic models and logistic regression techniques are employed to estimate regression parameters.FindingsThe results altogether display a strong positive impact of the educational attainment of both females and married males. Between the income of married males' and females' employment likelihood, nonlinear – inverse U-shaped association is found. The findings indicate that conservatism towards females' employment is not religiously opinionated, mostly due to insufficient educational attainment.Practical implicationsBased on the research findings, inspiring individuals are recommended to attain degree level qualifications. Simultaneously, the government should engage in mass media to increase awareness of the public about the non-monetary benefits of female employment.Originality/valueThe research results are highly useful for policy practices and fill the huge gap in the studies and research made on the Azerbaijan labor market.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2019-0557.

2020 ◽  
pp. 097674792096686
Author(s):  
Yudhvir Singh ◽  
Ram Milan

Public sector banks have been merged by the government in the last few years. This is the rationale behind conducting this study. The purpose of this article is to determine the factors affecting the performance of public sector banks in India and the interrelationship between bank-specific determinants and performance of public sector banks. In this article, we shall analyse the financial data of all the public sector commercial banks for a period spread across 11 years (2009–2019); Capital adequacy, Assets quality, Management efficiency, Earning, and Liquidity (CAMEL) has been used as a performance determinant; system generalised method of moments (GMM) analysis has been used to find the effect of determinants on the performance measurement of public sector banks; and CCA (canonical correlation analysis) has been used to find the interrelationship between the bank-specific determinants and the performance of public sector banks. The finding has important implications in terms of performance in the banking sector. Certain limitations of this study are: It is based on secondary data. The study only covers the financial aspects and not the non-financial aspects. It is found that the asset quality is negatively related with performance of public sector banks. Liquidity and inflation are inversely related to performance of public sector banks in India. Capital adequacy is positively related with banks’ performance, but inversely related with banks’ interest margin. GDP growth has a significant positive impact on banks’ performance, but inversely related with banks’ interest income. Inflation rate is inversely related with banks’ performance. Banking sector reforms are insignificantly related with banks’ performance.


2015 ◽  
Vol 6 (3) ◽  
pp. 206-222 ◽  
Author(s):  
Kanda Sorn-in ◽  
Kulthida Tuamsuk ◽  
Wasu Chaopanon

Purpose – The purpose of this paper is to study the factors affecting the development of e-government by using a citizen-centric approach. Design/methodology/approach – This paper is a mixed-methods study consisting of qualitative and quantitative research. Data were collected from government agencies using a structured interview and questionnaire about e-government services. The research was collected from the people responsible for the management of an e-government project in 75 government agencies. In addition, the researcher collected data from 1,400 citizens by using an e-Survey questionnaire that grouped participants by age. Findings – By using a citizen-centric approach, the paper identified the factors affecting the development of e-government. There were five factors from the viewpoint of government agencies and citizen groups: quality of e-government services, policy and governance, information technology infrastructure, organization and economy and society. Research limitations/implications – The research covered the development patterns of e-government for services from government to citizens only. Practical implications – Seeing the importance of environmental factors for both service providers and service users would facilitate continuous improvement of e-government service provision by government agencies. Social implications – The results reflect citizens’ need for e-government services; quality is their priority. Hence, government agencies must consider the quality of the delivery of information and e-government services as they relate to the lifestyles and needs of citizens. Originality/value – The creation of knowledge from merging e-government concepts with citizen-centric principles is a modern government sector management theory. This research stresses the need for the government sector to see the need for e-government and to recognize the factors for its successful development. This means the design and development of e-government services should respond to the increasing needs of the citizens.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenu Nenavath

Purpose This paper aims to show a long run and causal association between economic growth and transport infrastructure. Design/methodology/approach In this study, the authors use ARDL models through the period 1990 – 2020 to investigate the relationship between transport infrastructure and economic growth in India. Findings The infrastructure has a positive impact on economic growth in India for the long run. Moreover, Granger causality test demonstrates a unidirectional relationship between transport infrastructure to economic development. Stimulatingly, the paper highlights the effect of air infrastructure statistically insignificant on economic growth in the long and short-run period. Originality/value The original outcome from the study delivers an inclusive depiction of determinants of economic growth from transport infrastructure in India, and these findings will help the policymakers to frame policies to improve the transport infrastructure. Hence, it is proposed that the government of Indian should focus more to upsurge the transport infrastructure for higher economic development.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Toluwalope Ogunro ◽  
Luqman Afolabi

PurposeRecently, multidimensional aspects of poverty has been increasingly focused on which includes education, economy and health, while access to modern energy such as stable electricity is also one of the possible solution; thus, this article aims to divulge the relation between access to electricity and progression in socioeconomic status in urban and rural areas of Nigeria in an attempt to propose a sustainable framework for access to electricity.Design/methodology/approachDemographic and health survey data are collected using four categories of model of questionnaires. A standard questionnaire was designed to gather information on features of the household's dwelling element and attributes of visitors and usual residents between the 2018 period. Biomarker questionnaire was used to gather biomarker data on men, women and children. Logistic model estimation technique was employed to estimate the socioeconomic factors affecting access to electricity in Nigeria.FindingsThese studies discovered that there are diverse set of factors affecting access to electricity in Nigeria especially in the rural areas. However, respondent residing in rural areas are still largely deprived access to electricity; most importantly, households with no access to electricity are more likely to use self-generating sets as revealed. Additionally, empirical findings indicated that the higher the level of your education and wealth, the higher the likelihood of having access to electricity in Nigeria. These factors included political will to connect the rural areas to the national grid, development of other infrastructures in those deprived areas and others.Practical implicationsThe problem confronting access to electricity in Nigeria has three components. The first is the significance of those deprived access to electricity in the rural areas and the physical resources needed to connect them to the national grid. The second is the political willingness of the government to have equitable distribution of public goods evenly between rural and urban areas especially on electricity access which will go a long way in reducing poverty in Nigeria. The third is lack of robust national development plans and strategy to tackle the problems facing electricity access in Nigeria.Social implicationsAs the rate of socioeconomic status/development increases, access to electricity is anticipated to rise up in Nigeria.Originality/valueThe findings can be used by the policy makers to address problems facing access to electricity in Nigeria.


Author(s):  
Md Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Md. Rakibul Hoque

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Ranjan Chaudhuri ◽  
Demetris Vrontis ◽  
Alkis Thrassou ◽  
Soumya Kanti Ghosh ◽  
...  

Purpose This study aims to identify the business benefit of and factors affecting the use of social customer relationship management (SCRM) in Indian organizations. Design/methodology/approach Building on theoretical foundations, a conceptual model of factors affecting SCRM in Indian organizations is developed and empirically tested through a survey and corresponding analysis using SPSS and AMOS software. Findings The study presents empirical evidence that technological competence, environmental characteristics and organizational environment positively impact the actual use of SCRM on Indian organizations. Additionally, leadership support of organizations impacts positively the actual use of SCRM in organizations, while the trust factor insignificantly impacts the latter. The actual use of SCRM in organizations was found to have a positive impact on their business benefits. Research limitations/implications The theoretical model is built on the constructs of the technology, environment and organizational framework. It has added new factors, such as leadership support and trust, and thereby identified the business benefits of organizations using SCRM mediating through the organizations’ actual use of SCRM. The proposed model is simple, implementable and has a high explanative power of 81 per cent. Practical implications The study provides practitioners with evidence and practicable knowledge regarding the means and impact/benefits of SCRM use in Indian organizations. Originality/value The study is one of few empirical studies on the topic and contributes valuable knowledge to extant works through additional factors, theoretical conceptualization and empirical scientific findings of both scholarly and executive worth.


2019 ◽  
Vol 10 (1) ◽  
pp. 64-77
Author(s):  
Shijing Liu ◽  
Hongyu Jin ◽  
Chunlu Liu ◽  
Benzheng Xie ◽  
Anthony Mills

Purpose The purpose of this paper is to examine public–private partnership (PPP) approaches for the construction of rental retirement villages in Australia and to allocate the investment proportions under a certain project return rate among three investors which are the government, private sectors and pension funds. The apportionment will achieve a minimum overall investment risk for the project. Design/methodology/approach Capital structure, particularly determination of investment apportionment proportions, is one of the key factors affecting the success of PPP rental retirement villages. Markowitz mean-variance model was applied to examine the investment allocations with minimum project investment risks under a certain projected return rate among the PPP partners for the construction of rental retirement villages. Findings The research findings validate the feasibility of the inclusion of pension funds in the construction of PPP rental retirement villages and demonstrate the existence of relationships between the project return rate and the investment allocation proportions. Originality/value This paper provides a quantitative approach for determination of the investment proportions among PPP partners to enrich the theory of PPP in relation to the construction of rental retirement villages. This has implications for PPP partners and can help these stakeholders make vital contributions in developing intellectual wealth in the PPP investment area while providing them with a detailed guide to decision making and negotiation in relation to investment in PPP rental retirement villages.


2020 ◽  
Vol 47 (5) ◽  
pp. 663-674
Author(s):  
Deepti Singh ◽  
Shruti Shastri

PurposeThe purpose of this paper is to examine the nexus among public expenditure allocated to education, educational attainment at secondary level and unemployment rate in India for the period 1987–2017.Design/methodology/approachThe study employs autoregressive distributed lags (ARDL) bound testing approach suggested by Pesaran et al. (2001) to find the long-run relationship among the variables. The causal linkages are investigated through block exogeneity test based on vector error correction model.FindingsThe empirical results indicate that educational attainment proxied by gross enrolment ratio at secondary level of education negatively affects unemployment rate in long run as well as in short run. However, public expenditure on education is ineffective in influencing both educational attainment and unemployment rate.Originality/valueThe study is the first empirical effort to identify the causal nexus among public expenditure on education, educational attainment and unemployment in the context of India.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2019-0396


Significance The governor cited goals for the government to pursue over the coming year including anti-corruption efforts, the encouragement of investment and the enthusiastic adoption of Cobro Digital (CoDi) -- a digital payments system he claims could “transform the financial system”. His remarks come as President Andres Manuel Lopez Obrador (AMLO) pushes for greater financial inclusion to bolster the economy. Impacts The push for greater financial inclusion is likely to have a positive impact on the country’s least developed areas. AMLO’s willingness to work closely with bankers could strengthen otherwise weak investor confidence in his government. Security could become an issue for potential digital banking users -- the SPEI suffered a series of high-profile cyber-attacks last year.


2020 ◽  
Vol 47 (6) ◽  
pp. 1265-1280
Author(s):  
Tanveer Ahsan ◽  
Sultan Sikandar Mirza ◽  
Bakr Al-Gamrh ◽  
Muhammad Zubair Tauni

PurposeThe purpose of this study is to explain the adjustment rate toward the target capital structure of Chinese nonfinancial listed firms and to investigate the impacts of the split-share reforms (2005–2006) on the capital structure adjustment rate.Design/methodology/approachThe authors control for the unobserved heterogeneity and the fractional nature of the adjustment rate by applying an unbiased dynamic panel fractional estimator on the unbalanced panel data of 27,545 firm-year observations of Chinese nonfinancial firms listed during 1998–2015.FindingsThe authors find that Chinese firms adjust at an annual rate of 19–27% to reach their capital structure targets. The authors also find a positive impact of the split-share reforms on the adjustment rates of Chinese nonfinancial firms toward their target capital structure. Split-share reforms also helped Chinese firms to increase the use of equity financing in their capital structure.Practical implicationsThe authors argue that the government should strengthen capital markets to enable easy access to more financing options so that Chinese firms can acquire cheaper external financing.Originality/valueTo the best of authors' knowledge, this is the first study that applies an unbiased dynamic panel fractional estimator on an extended data set of 27,545 firm-year observations of Chinese nonfinancial firms listed during 1998–2015.


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