Business and Economics Journal

ISSN: 2151-6219

Open Access

Articles in press and Articles in process

    Review Article Pages: 1 - 3

    The Impact of Exchange Rate Fluctuations and Money Supply on Inflation in Sierra Leone (1986-2019)

    Justice Ganawah

    This paper aims at providing quantitative analysis of the impact of money Supply and exchange rate fluctuations on inflation in Sierra Leone. The paper utilizes secondary data that were obtained from the International Financial Statistics (IFS), of all variables investigated in the model. The sample covers quarterly data from 1986:01 to 2019:04. The model was estimated using Vector Error Correction Mechanism (VECM). The empirical results confirm that in the long run, money supply and exchange rate have significant inverse effects on inflationary pressure, while real output growth and foreign price changes have direct effects on inflationary pressure. The possible justification for the inverse effect of money supply on price level is that inflation may not be due to aggregate demand pressure but rather due to hiccups in the supply chain of goods both from the domestic and foreign supply outlets. Empirical deductions also signify the presence of significant feedback from the long run to short run disequilibrium. However, there exists a causal linkage between inflation, money supply and exchange rate in Sierra Leone.

    Research Pages: 1 - 8

    Empirical Review of Food Crop Technologies Adoption inEthiopia: Meta Analysis

    Zekarias Bassa* and Abule Mechare

    Adoption of improved climate smart food crop technologies is known to be the prerequisite for productivity improvement, assuring food security and enabling small scale farmers to widen income opportunities. However, due to different socioeconomic, demographic and institutional; factors the level of food crop technology adoption and utilization is not optimal. A meta-analysis is performed to review empirical estimates of Adoption factors of improved food crop technologies in Ethiopia. The objective of the study is to contribute to a better understanding of the factors that influence adoption of improved food crop technologies. A Critical review was done from data set of 150 significantly influential variables that merged in to 48 observations at different articles from 48 case studies. The synthesized data used in order to test if specific characteristics of the data and econometric specifications account for systematic differences in the adoption influencing factors. The data processed using Multinomial Logit model for estimating probability of food crop technology adoption choices that defined as higher, moderate and lower rate as dependant variable and study period, model type used, study district, sample size, data type and technology type introduced as explanatory variable. From these data and reviewed articles the results showed that using low adoption as bench mark, higher and moderate estimate of Adoption probability of food crop technology significantly affected by Sample size and technology type introduced. The synthesized information implies that larger sample size cannot be ultimate solution for accurate information and different technologies disseminated owned different value across small scale farmers that demands full packaged technologies and awareness creation. Using low adoption rate as base category (<40% adoption),the Results also showed that using the other than Probit model procedure indicate decrease in estimate of adoption probability that pointed out that model selection can play detrimental role in estimating the adoption probability, which also could result in wrong level of decision. The Meta analysis result also indicated that as number of sample size increase, the level of adoption decreases, which indicated existence of data management problem starting from data collection up to processing, which also could not be eased with increased sample size. Using low adoption as reference category, the result showed that Moderate adoption rate also significantly different across the study areas and affected by technology type and Model type applied. Other factors, including the study period and data type do not seem to significantly affect estimates of food crop technology adoption probability. The analysis result also confirmed that the mean size effect of food crop technology adoption estimate is function of training, extension service and credit access, oxen holding, TLU, labor force and income. This implied that through awareness creation, improving and credit, infrastructural development, livestock ownership and income earning opportunity improving, there is an opportunity for accelerating the speed of food crop technologies. The study result also justified that food crop technologies only focused on the specific technology type and quantity, not on how the technology implemented by farmers and how it scaled up, these assumed to be one of the most probable reason for low adoption of improved practices that resulted in low agricultural production and productivity the sector

      Review Article Pages: 1 - 4

      The Impact of Adoption of Agricultural Production Technology in Chiro Woreda, West Harerghe, Ethiopia

      Getaye Gizaw

      This study was designed to assess the impact of adoption of Agricultural production technology on households’ Agricultural production
      in Chiro Woreda using cross sectional data obtained from 191 Agricultural farmers selected from four kebeles to represent major
      Agricultural producers. The study used propensity score matching to assess impact of adoption of Agricultural production technology on
      household production levels. The result showed adoption of Agricultural production technology has a robust and positive effect on farmers’
      Agricultural production in quintal per hectare. The average treatment effect on the treated (ATT) was about 9.48 quintal yield per-hectare
      increase for adopters as compared to non-adopters. The result of sensitivity analysis also shows average treatment effect on treated is not
      sensitive to external change.

      Research Article Pages: 1 - 5

      Effect of Work-Life Balance on Job Satisfaction of Female Employee in Health Sector, Mogadishu, Somalia

      Fartun Ahmed Sheikh Mohamud

      Recently there has been growing attention on the standardization of personal, family, and work-life by the global economy and the associated social changes such as technological development and the growing number of double-earner families. As a consequence, many women have reported having stress and work-life imbalances. The purpose of this research is to examine women's work satisfaction and work-life balance. It helps identify the simplest ways of woman’s job satisfaction and work-life balance in achieving both individual and organizational interest.

      Research Article Pages: 1 - 10

      Asymmetric Effect, Non-Linear ARDL and the J-Curve Analysis among EAC Members

      Masoud Mohammed Albiman

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      Until recently, the empirical evidence on asymmetric effect of exchange rate and its transmission channels on trade balance is still very scarce, especially for least developed countries. This article attempts to explore symmetric effect of exchange rate and its transmission channels on trade balance. The recently developed method of Non-linear ARDL were utilized for Quarterly data from 1990 Q1 to 2017 Q4 in unexplored areas of East African Community (EAC-5) members. The study found presence of robust symmetric and asymmetric negative effect of exchange rate changes to trade balance only in Uganda, both in short run and long run. Meanwhile, there was no evidence of robust J-curve phenomena within EAC members. In addition to that, exchange rate changes (depreciation and appreciation) improve the trade balance only in Tanzania through domestic income level. Generally, the application of exchange rate policy in improving trade imbalance is doubted within EAC region.

        Research Article Pages: 1 - 6

        Customer Satisfaction as a Tool for Product Development: A Case of Online Stock Trading Platforms used by Retail Investors to Trade on the Zimbabwe Stock Exchange

        Kudzanai Sharara* and Dingilizwe Nkomo

        DOI: 10.37421/21516219.2022.13.380

        The objective of the study was to assess customer satisfaction levels of online stock trading platforms (OSTPs) that are being used by retail investors for trading shares on the Zimbabwe Stock Exchange (ZSE). The research covers the topic of improving customer satisfaction of OSTPs guided by the Kano Model of Customer Satisfaction. The study retail investors using OSTPs. The data in the study was collected using mono method of quantitative study using a quantitative survey delivered to retail investors that are using OSTPs. Questionnaires were used to collect data from the respondents. A convenience sampling method as well as a systematic random sampling method was used to select 269 retail investors of which 197 or 73.23% responded. Data were analysed quantitatively using descriptive and inferential statistics generated from Microsoft Excel. In conclusion, the research revealed that the level of customer satisfaction was high with 80% of retail investors generally satisfied with existing OSTPs. However, despite increased participation of retail investors, the overall numbers (18 347 as at end of March 2022) are still much lower than those seen in other markets running into millions. Further, of those that have opened accounts on OSTPs, approximately half are not active. Thus the ZSE is still lagging behind in terms of market liquidity a key aspect for the sustainability, viability and relevance of the stock market and its stakeholders. The study showed gaps in what existing OSTPs are offering resulting in lower numbers of active users. Also factors which lead to dissatisfaction were collected and proper recommendations were given. To cater for the needs of retail investors that are currently not being met by existing platforms a Wireframe to develop a new OSTP was put in place incorporating the missing built-in features such as, educational tools, beginners' courses, research reports, technical analysis tools, as well as company fundamentals.

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