scholarly journals Quantifying the Process and Performance of River Basin Water Management Decentralisation in Sub-Saharan Africa

2015 ◽  
Vol 25 (2) ◽  
pp. 267-299
Author(s):  
Ariel Dinar ◽  
Javier Ortiz Correa ◽  
Stefano Farolfi ◽  
Joao Mutondo
Keyword(s):  
Water Management ◽  
River Basin ◽  
Sub Saharan Africa ◽  
Basin Water ◽  
Sub Saharan ◽  
And Performance

Stochastic Evaluation of Capacity and Demand Management of the Airline Industry

2021 ◽  
pp. 85-106
Author(s):  
Yohannes Yebabe Tesfay
Keyword(s):  
Panel Data ◽  
North Africa ◽  
Airline Industry ◽  
Demand Management ◽  
Sub Saharan Africa ◽  
Load Factor ◽  
Sub Saharan ◽  
And Performance ◽  
Periodic Autocorrelation ◽  
Dynamic Time

In the airline industry, the term load factor defined as the percentage of seats filled by revenue passengers and is used to measure efficiency and performance. This metric evaluates the airlines capacity and demand management. This paper applies stochastic models to analyse the load factor of the Association European Airlines (AEA) for flights of Europe - North Africa and Europe- Sub Saharan Africa. The estimation result prevails that the airlines have better demand management in the flights of Europe- Sub Saharan Africa than in the flight of Europe - North Africa. However, the capacity management of the airlines is poor for both regional flights. The autocorrelation structures for the load factor for both regional flights have both periodic and serial correlations. Consequently, the use of ordinal panel data models is inappropriate to capture the necessary variation of the load factor of the regional flights. Therefore, in order to control for the periodic autocorrelation, the author introduces dynamic time effects panel data regression model. Furthermore, in order to eliminate serial correlation the author applies the Prais–Winsten methodology to fit the model. Finally, the author builds realistic and robust forecasting model of the load factor of the Europe- North Africa and Europe-Sub Saharan Africa flights.

Stochastic Evaluation of Capacity and Demand Management of the Airline Industry

2016 ◽  
Vol 3 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Yohannes Yebabe Tesfay
Keyword(s):  
Panel Data ◽  
North Africa ◽  
Airline Industry ◽  
Demand Management ◽  
Sub Saharan Africa ◽  
Load Factor ◽  
Sub Saharan ◽  
And Performance ◽  
Periodic Autocorrelation ◽  
Dynamic Time

In the airline industry, the term load factor defined as the percentage of seats filled by revenue passengers and is used to measure efficiency and performance. This metric evaluates the airlines capacity and demand management. This paper applies stochastic models to analyse the load factor of the Association European Airlines (AEA) for flights of Europe - North Africa and Europe- Sub Saharan Africa. The estimation result prevails that the airlines have better demand management in the flights of Europe- Sub Saharan Africa than in the flight of Europe - North Africa. However, the capacity management of the airlines is poor for both regional flights. The autocorrelation structures for the load factor for both regional flights have both periodic and serial correlations. Consequently, the use of ordinal panel data models is inappropriate to capture the necessary variation of the load factor of the regional flights. Therefore, in order to control for the periodic autocorrelation, the author introduces dynamic time effects panel data regression model. Furthermore, in order to eliminate serial correlation the author applies the Prais–Winsten methodology to fit the model. Finally, the author builds realistic and robust forecasting model of the load factor of the Europe- North Africa and Europe-Sub Saharan Africa flights.

Blended Learning in Nigeria

2011 ◽  
pp. 190-207 ◽  
Author(s):  
Nwachukwu Prince Ololube
Keyword(s):  
Blended Learning ◽  
Quantitative Assessment ◽  
Positive Impact ◽  
University Education ◽  
Sub Saharan Africa ◽  
Chi Square ◽  
Assessment Design ◽  
Sub Saharan ◽  
And Performance ◽  
University Setting

Blended learning requirements are increasing, in part because of the population explosion and policies pertaining to the democratization of education. Yet, thousands of students and faculty remain deficient in the use of blended learning to advance technology in developing countries, especially sub-Saharan Africa. This research employed a quantitative assessment design aimed at improving best available practices, processes, and performance in terms of the blended learning offered in a university setting. A six-point Likert-type questionnaire was used to gather data. Multiple statistical procedures were employed in the subsequent analysis—percentage, mean point values, chi-square, and ANOVA. Majority of the respondents to the questionnaire agreed that the teaching of MIS to students is effective and has a positive impact on their academic achievements. This groundbreaking research presents a realistic resource for the practical application of blended learning in university education in Nigeria, as well as a comprehensive view of the benefits and problems of the applicability of blended learning.

A borrowing cost model for effective performance of SMEs in Uganda

2015 ◽  
Vol 11 (2) ◽  
pp. 74-89 ◽  
Author(s):  
Sulait Tumwine ◽  
Richard Akisimire ◽  
Nixon Kamukama ◽  
Gad Mutaremwa
Keyword(s):  
Interest Rate ◽  
Cost Model ◽  
Methodological Approach ◽  
Sub Saharan Africa ◽  
Future Research ◽  
Cross Sectional ◽  
Content Type ◽  
Effective Performance ◽  
Sub Saharan ◽  
And Performance

Purpose – The purpose of this paper is to develop an effective cost borrowing model of qualitative factors that are relevant to micro and small enterprises (SMEs) better performance. Design/methodology/approach – A valid research instrument was utilized to conduct a survey on 359 SMEs (131 retail businesses, 125 service businesses, 48 farming businesses and 55 other businesses) and 897 respondents that are representative of 397 SMEs and 1,087 respondents. Correlation and regression analysis were conducted to ascertain the validity of the hypotheses. Findings – It was established that cost of borrowing elements (interest rate and loan processing costs) are associated with SME performance. Furthermore, cost of borrowing as a whole accounts for 31.1 percent of the variation in performance Uganda’s SMEs. Research limitations/implications – Only a single research methodological approach was employed, future research through interviews could be undertaken to triangulate. Multiple respondents in SMEs (owner, manager and cashier) were studied neglecting others. Furthermore, the study used the cross-sectional approach – a longitudinal approach should be employed to study the trend over years. Finally, cost of borrowing was studied and by the virtual of the results, there are other factors that contribute to SME performance that were not part of this study. Practical implications – There is need to intensify initiatives to encourage greater understanding and acceptance of cost of borrowing, select appropriate elements that includes interest rate and loan processing costs in order to have affordable source of financing to establish and grow SMEs, provide employment, competitive and contribute to countries GDP. Originality/value – This is the first paper in Sub-Saharan Africa to test empirically the relationship between cost of borrowing and performance of SMEs in the Ugandan context.

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