Publisher: Science and Education Publishing   (Total: 75 journals)   [Sort by number of followers]

Showing 1 - 75 of 75 Journals sorted alphabetically
American J. of Applied Mathematics and Statistics     Open Access   (Followers: 15)
American J. of Applied Psychology     Open Access   (Followers: 59)
American J. of Biomedical Research     Open Access   (Followers: 4)
American J. of Cancer Prevention     Open Access   (Followers: 14)
American J. of Civil Engineering and Architecture     Open Access   (Followers: 52)
American J. of Clinical Medicine Research     Open Access   (Followers: 8)
American J. of Educational Research     Open Access   (Followers: 75)
American J. of Electrical and Electronic Engineering     Open Access   (Followers: 29)
American J. of Energy Research     Open Access   (Followers: 11)
American J. of Environmental Protection     Open Access   (Followers: 9)
American J. of Epidemiology and Infectious Disease     Open Access   (Followers: 22)
American J. of Food and Nutrition     Open Access   (Followers: 66)
American J. of Food Science and Technology     Open Access   (Followers: 13)
American J. of Infectious Diseases and Microbiology     Open Access   (Followers: 32)
American J. of Information Systems     Open Access   (Followers: 7)
American J. of Materials Engineering and Technology     Open Access   (Followers: 6)
American J. of Materials Science and Engineering     Open Access   (Followers: 8)
American J. of Mathematical Analysis     Open Access   (Followers: 2)
American J. of Mechanical Engineering     Open Access   (Followers: 61)
American J. of Medical and Biological Research     Open Access   (Followers: 11)
American J. of Medical Case Reports     Open Access   (Followers: 3)
American J. of Medical Sciences and Medicine     Open Access   (Followers: 6)
American J. of Medicine Studies     Open Access   (Followers: 3)
American J. of Microbiological Research     Open Access   (Followers: 3)
American J. of Modeling and Optimization     Open Access   (Followers: 3)
American J. of Nanomaterials     Open Access   (Followers: 7)
American J. of Numerical Analysis     Open Access   (Followers: 3)
American J. of Nursing Research     Open Access   (Followers: 13)
American J. of Pharmacological Sciences     Open Access   (Followers: 2)
American J. of Public Health Research     Open Access   (Followers: 30)
American J. of Rural Development     Open Access   (Followers: 9)
American J. of Sensor Technology     Open Access   (Followers: 4)
American J. of Sports Science and Medicine     Open Access   (Followers: 40)
American J. of Water Resources     Open Access   (Followers: 16)
American J. of Zoological Research     Open Access   (Followers: 3)
Applied Ecology and Environmental Sciences     Open Access   (Followers: 29)
Applied Mathematics and Physics     Open Access   (Followers: 3)
Automatic Control and Information Sciences     Open Access   (Followers: 3)
Biomedical Science and Engineering     Open Access   (Followers: 7)
Chemical Engineering and Science     Open Access   (Followers: 52)
Intl. J. of Celiac Disease     Open Access   (Followers: 3)
Intl. J. of Dental Sciences and Research     Open Access   (Followers: 1)
Intl. J. of Econometrics and Financial Management     Open Access   (Followers: 7)
Intl. J. of Physics     Open Access   (Followers: 12)
Intl. Transaction of Electrical and Computer Engineers System     Open Access   (Followers: 2)
J. of Automation and Control     Open Access   (Followers: 10)
J. of Biomedical Engineering and Technology     Open Access   (Followers: 1)
J. of Business and Management Sciences     Open Access   (Followers: 1)
J. of Cancer Research and Treatment     Open Access   (Followers: 4)
J. of Computer Networks     Open Access   (Followers: 8)
J. of Computer Sciences and Applications     Open Access  
J. of Environment Pollution and Human Health     Open Access   (Followers: 9)
J. of Finance and Accounting     Open Access   (Followers: 9)
J. of Finance and Economics     Open Access   (Followers: 13)
J. of Food and Nutrition Research     Open Access   (Followers: 12)
J. of Food Security     Open Access   (Followers: 10)
J. of Geosciences and Geomatics     Open Access   (Followers: 2)
J. of Materials Physics and Chemistry     Open Access   (Followers: 6)
J. of Mathematical Sciences and Applications     Open Access   (Followers: 3)
J. of Optoelectronics Engineering     Open Access   (Followers: 4)
J. of Physical Activity Research     Open Access   (Followers: 6)
J. of Polymer and Biopolymer Physics Chemistry     Open Access   (Followers: 10)
Materials Science and Metallurgy Engineering     Open Access   (Followers: 7)
Nanoscience and Nanotechnology Research     Open Access   (Followers: 20)
Physics and Materials Chemistry     Open Access   (Followers: 2)
Research in Plant Sciences     Open Access   (Followers: 2)
Research in Psychology and Behavioral Sciences     Open Access   (Followers: 4)
Sustainable Energy     Open Access   (Followers: 3)
Turkish J. of Analysis and Number Theory     Open Access   (Followers: 1)
Wireless and Mobile Technologies     Open Access   (Followers: 5)
World J. of Agricultural Research     Open Access   (Followers: 3)
World J. of Analytical Chemistry     Open Access   (Followers: 4)
World J. of Chemical Education     Open Access   (Followers: 6)
World J. of Environmental Engineering     Open Access   (Followers: 3)
World J. of Organic Chemistry     Open Access   (Followers: 8)
Similar Journals
Journal Cover
Journal of Finance and Economics
Number of Followers: 13  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2328-7284 - ISSN (Online) 2328-7276
Published by Science and Education Publishing Homepage  [75 journals]
  • Households’ Determinants of Demand for Financial Credits in the City
           of Bukavu

    • Authors: Vwima Ngezirabona Stany; Muzee Kazamwali, Ngomora Ciza Odette
      Pages: 121 - 129
      Abstract: In the DRC and particularly in the Bukavu city (It is the capital of the province of South Kivu. It is located 180 km from Goma by lake and 207 km by road (DRC, Ministry of Planning, PRSP Process Steering Unit, 2005a), 1650 km from Kinshasa (capital of the DRC) as the crow flies, 120 km from Uvira by road and 15 km by road only from Kamembe (Rwanda). It is a city that extends over 60 Km2 with a population growth rate of 3.3% per year. It is located in the Eastern Valley of the Graben, specifically the Great Lakes region at 2°30'S and 28°50'E. The city is lucky to have a rainy climate for more or less 8 months (September-mid-June). The average temperature rarely exceeds 20° in Bukavu. It is weighted by the presence of Lake Kivu.The rainfall amounts to 1320 mm at 1670 m altitude. According to the report of the Bukavu City Council of 2013, the population of Bukavu city is estimated at 718,210), there is a growing proliferation of financial institutions, especially microfinance institutions (MFIs), which by definition have the main mission to fight against poverty by offering financial services (including loans) even to the poorest people who do not have access to formal financial services. The main concern of this work is to highlight the different factors that could influence the behavior of households in Bukavu to ask for financial credit. This work is limited to the Bukavu city and data were collected from 147 household heads. To analyze the data, the Lesser Ordinary Square Model was used with dependent variable (the amount of credit) and independent variables (the income of the household head, the household size, the interest rate, the reimbursement deadline, assessment of the guarantees requested, credit information, sex of the household head, age of the household head, marital status of the household head, education level of the household head). The model selected explained to 57.6% (R²) the amount of credit requested which is the dependent variable. The results of the econometric analysis show that it is the income, repayment term, study level and gender variables that significantly explain the amount of credit requested by households in Bukavu. All of these variables have a positive influence on the credit amount. The result obtained from this analysis was that households requested more loans from MFIs (85.4%) than from banks (15.6%). It was noted that households in Bukavu allocate more credits to investment (80.2%) than consumption (29.8%).
      PubDate: 2021-07-01
      DOI: 10.12691/jfe-9-4-1
      Issue No: Vol. 9, No. 4 (2021)
  • Risk of Fraudulent Claims and Financial Distress in Non-Life Insurance
           Companies in Kenya: A Structural Equation Modeling Approach

    • Authors: John Mose Michira; Agnes Njeru, Florence Memba
      Pages: 130 - 139
      Abstract: Financial distress (FD) is a common occurrence in Kenyan commercial sector and is not lacking in non-life insurance companies in Kenya. Several insurance companies have been placed under statutory management for failure to pay genuine claims and other creditors. Insurance companies provide unique financial services, not only to individuals but also to the growth and development of the economy; giving employment to workers and dividends to investors. Financial distress places insurable properties and businesses at risk thus reducing the general public confidence in the insurance sector. For this paper, the goal was to investigate whether fraudulent claims (FC) significantly cause financial distress in non-life insurance companies in Kenya. In accounting for insurance fraudulent claims, increases in fraudulent claims mean a reduction of profitability of an insurer; and payment of fraudulent claims drains the insurer’s cash flow, thus causing financial distress. Out of 37 non-life insurance companies, registered in 2018 in Kenya, four insurers were subjected to Pilot Testing and another four companies declined to participate in the survey. Secondary data from Insurance Regulatory Authority website was retrieved for calculations of Z-scores using Altman’s [1], amended formula. Using the discriminative Z-score formula, 52% of the non-life insurance companies in 2018 were financially distressed, compared to 48% in 2017. However, when considering the average of ten years (2009 to 2018), financially distressed companies were 38%. To confirm this distressful situation, primary data was also collected through a questionnaire. A partial least squares structural equation modelling (PLS-SEM) approach was employed to affirm the researcher’s hypotheses and further test whether theoretical framework was supported by primary data analysis. Goodness-of-fit (GoF) indices were used to assess the model’s goodness of fit. The structural path from FC to FD was found to be significant at 5% level of significance. Financial Distress (FD) increased with an increase in fraudulent claims (FC) (regression coefficient,  β= 0.32, 95% CI (0.16, 0.4)). This means that the relationship was significant in this study. In other words, for every unit increase in FC, FD significantly increased by 0.32. However, the indirect effect of FC on FD via IRA was not significant. Hence, IRA supervision was not a significant mediating factor. In a research in the USA by A. M. Best Company [2], alleged fraud in insurance claims was identified as one of contributors of insurance companies’ failure, accounting for 10%. An insurance fraud survey carried out by an audit firm KPMG [3] showed that Kenyans could have paid over Kshs 30 billion to cover for fraud. The researchers further observed that companies’ employees were found to be colluding with policyholders and claims agents to doctor and file illegitimate claims with the insurers. The insurance business classes which are most affected by fraud are motor and medical classes. The researchers recommends that members of staff of insurance companies be trained to effectively detect fraudulent claims; and that the insurance act be amended to give power to the board of directors in stamping out of financial distress in the insurance industry.
      PubDate: 2021-07-18
      DOI: 10.12691/jfe-9-4-2
      Issue No: Vol. 9, No. 4 (2021)
  • Developing Economic Zone and Industrial Park in Thanh Hoa Province
           (Vietnam) towards Green Growth

    • Authors: LE Thi Lan; TRINH Tuan Sinh
      Pages: 140 - 145
      Abstract: Green growth is the current development trend of countries in general and Vietnam in particular, aiming to effectively use natural resources, contribute to poverty alleviation and create a driving force for sustainable economic development. The development of economic zone (EZ) and industrial parks (IPs) in Thanh Hoa has contributed significantly to attracting investment, developing the local economy, creating jobs, and social security. However, the development of these zones also creates consequences on environmental pollution and inefficient use of local resources. This article provides a picture of the current development situation of EZ and IPs in Thanh Hoa, as well as solutions to develop them in the direction of Green growth.
      PubDate: 2021-07-18
      DOI: 10.12691/jfe-9-4-3
      Issue No: Vol. 9, No. 4 (2021)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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