Open Access Original Research Article

Empirical Analysis of the Relationship between Industrial Performance and Macroeconomic Factors in Ghana

Frederick Mensah, Grace Ofori-Abebrese, Robert Becker Pickson

Journal of Economics, Management and Trade, Page 1-11
DOI: 10.9734/BJEMT/2016/25092

The conscious attempt to ascertain the wide range of macroeconomic factors that drive industrial production in Ghana necessitated this study. The main purpose of this study is to ascertain the impact that macroeconomic factors have on industrial performance in Ghana over the period 1980 to 2013. The Autoregressive Distributed Lag Model was employed to examine the long run and the short run dynamics of macroeconomic factors and industrial output. The study found cointegration relationship between industrial output and the macroeconomic factors. The results indicated that the major macroeconomic factors that affect industrial performance in Ghana are lending rate (+), inflation (+), employment (+) and government expenditure (+). Based on the findings, the study recommends that the government of Ghana should stabilize the macroeconomic environment of Ghana in order to achieve industrial growth and development.

 

Open Access Original Research Article

Assessment of Truck Drivers’ Literacy and Performance Evaluation in Haulage Operations in Nigeria

A. Dosunmu Victor, O. Somuyiwa Adebambo, O. Adepoju Olusegun

Journal of Economics, Management and Trade, Page 1-10
DOI: 10.9734/BJEMT/2016/25527

This research work examined the literacy of Nigerian truck drivers being used in haulage operations with a view to assess whether driver’s literacy enhances haulage operational performance. The problem of haulage operations in Nigeria can be attributed to inadequacy of well trained and educated drivers who can carry out deliveries with little or no supervision. For truck drivers; the need to understand road signs, traffic signals, documentation procedures, negotiations and readings of certain descriptions on equipment like fire-extinguisher cannot be carried out properly without certain level of education. Data collected at randomly selected Trailer Parks in Nigeria were analysed using Chi-Square and Pearson Product Moment Correlation (PPMC) analytical techniques. Results revealed that, calculated value of 10.7643 is less than tabulated value15.507; therefore, null hypothesis was accepted. i.e (Most Truck drivers are not educated). Also, drivers with higher academic qualification has higher correlation value of r= 0.555 at p<0.05 level of significance which indicated higher level of performance. Similarly, lower academic qualification has a positive correlation with performance with r=0.331 at p<0.05. In other words, drivers with higher academic qualification has R2=0.308 which is about 31% in relation to their driving performance. Lower academic qualified drivers accounted for approximately 11% of drivers’ performance. The paper suggested establishment of truck driving school, creation of drivers’ database and safety issue should also be given paramount importance in Nigeria.

 

Open Access Original Research Article

Service Quality and Customer Satisfaction among Bank Clients in Rwanda

Philippe Ndikubwimana, Adele Berndt

Journal of Economics, Management and Trade, Page 1-11
DOI: 10.9734/BJEMT/2016/26149

Despite banking services in Rwanda have low levels of penetration, it is important for banks to focus on providing quality service to their customers. This is due to the effect it has on customer satisfaction and consequently on customer retention. The purpose of the research is to investigate the satisfaction of banking customers in Rwanda with regard to financial services received. This is done through investigation their perceptions of service quality and satisfaction. Little published research among these groups of consumers has been undertaken, making the findings important for the sector in Rwanda. Use was made of a quantitative study using a SERVPERF questionnaire adapted for the Rwandan context to collect data from 156 respondents. Statements on the dimensions of service quality and customer satisfaction were measured using a 7 point Likert scale. The results of study show that the bank’s physical environments and facilities are conducive to delivering good service, and the customers are satisfied with the Tangible aspects associated with the service and that they are prepared to reflect this satisfaction in their behaviour. It is recommended that the bank take note of these findings, specifically as they reflect some differences among different groups of customers and incorporate them into future marketing strategies.

Open Access Original Research Article

Influence of Socio-demographic Variables on Electrical Energy Management Practices among Residents of Niger State, Nigeria

T. M. Saba, J. Tsado, B. Bukar, E. Raymond

Journal of Economics, Management and Trade, Page 1-10
DOI: 10.9734/BJEMT/2016/25589

The study investigated the influence of socio-demographic variables on electrical energy management practices among residents of Niger State, Nigeria. The study adopted Cross Sectional Survey Research Design. The population of the study was made up of 191,416 heads of households in residential buildings. The sample for the study consisted of 1,290 heads of households in residential buildings, three null hypotheses were formulated and tested at 0.05 level of significance. The instrument used for data collection was a structured questionnaire. Statistical Package for Social Sciences (SPSS version 19) was used for data analysis. Levene’s test Statistic, one–way analysis of variance (ANOVA), post-hoc (Tukey Honest Significant Different (HSD) test) was used to test hypotheses at (P ˂ 0.05). The finding of the study shows that, low and high income residents in Niger State wasted more of electricity, young aged (18 to 39 years) wasted more electricity compare to other aged groups and residents with low education contributed significantly to energy wastage. Based on these findings, the following recommendations were made: The electricity management board in collaboration with energy commission should intensify effort to organize enlightenment campaigns on electrical energy management practices targeting low and high income earners, the enlightenment campaigns on electrical energy management should focus on young adult (18 to 39 years) as they wasted more of electricity and residents with low educational qualification should be well informed on implications of electrical energy management.

 

Open Access Original Research Article

Central Limit Theorem to Approximate Aggregate Risk of Portfolio: Using the ModelRisk Software

Reza Habibi

Journal of Economics, Management and Trade, Page 1-5
DOI: 10.9734/BJEMT/2016/25634

In this note, the non-sampling information in portfolio management is considered. These information may be the past belief of investor about a special asset. They are characterized as the correlated binary random variables. Then, the Monte Carlo is applied to derive the posterior distribution of binary variables given the past returns which indicates the tendency of investor to keep or drop a portfolio via using the non-sampling and sampling information simultaneously. The posterior distribution of belief of investor and the accuracy of Bayesian method are shown via plotting histograms.

 

Open Access Original Research Article

The Influence of Rewards on Employees Performance

Mohammed Raja Abulraheem Salah

Journal of Economics, Management and Trade, Page 1-25
DOI: 10.9734/BJEMT/2016/25822

The study aims to examine the influence of reward types (extrinsic, intrinsic, social and rewards mix) on employees performance. Subjects for the study consisted of 308 workers which constituted 60% of the total target population of 513 people working for Unified Mining Companies located in the southern part of Jordan. Total of 308 self-designed questionnaire were distributed to employees on their job location, 268 questionnaires were returned and only 250 were suitable for statistical analysis. SPSS version 16 has been used for data analysis. Both descriptive and inferential statistics were used for data analysis. The statistical tools were aligned with the objective of the research. For this purpose, frequency Tables, percentages, means and standard deviations were computed and substantively interpreted. Inferential statistics like Pearson product moment correlation coefficient (r) was used to determine if there is a significant relationship exist between independent variables (rewards types: Extrinsic, intrinsic, social and rewards mix) and dependent variable (employees performance). Analysis and interpretation were made at 0.05 level of significance. The findings indicated that there is a statistical significant relationship between rewards types and employees performance. The study has concluded that, management should have deep sense of commitment towards the issue of rewarding employees, if performance levels to be enhanced. Finally, future research can be conducted to cover all types of rewards and to determine their affect on performance.

Open Access Review Article

Loan Debt Management: The Optimal Strategy Formation

N. E. Egorova, E. A. Gordeeva

Journal of Economics, Management and Trade, Page 1-6
DOI: 10.9734/BJEMT/2016/25861

Background: Methodological ground for compromise – rent strategy of loan debt management was settled by N.E. Egorova and A.M. Smulov (Businesses and banks: interaction, economic analysis, modeling, 2005). Article takes point of view on compromise – rent strategy as a time-sensitive approach to reduce the volume of bad loans.

Aims: We aimed to define the best approach to bad debt management in the volatile economic conditions.

Study Design: Analytical review.

Place and Duration of Study: CEMI Russian Academy of Sciences, 2013-2015.

Methodology: Methodology is based on complex approach which includes analysis of current condition of the banking system, fuzzy sets implementation in possible solutions of bad debt retirement.

Results: The authors proposed methodological principles and Economics and Mathematics bad debt management tools on the basis of the approach of the theory of fuzzy numbers, established a set of mathematical equations to reflect the balance between time of the debt retirement, quality of the debt and payment flows.

Conclusion: Issues of bad debt prediction are among the most topical at the present stage of development of the global banking system. The complexity of these issues is largely due to the significant uncertainty factors that accompany the processes of crisis and instability in the financial world system.