Factors Affecting Capacity Utilization Decisions in Nigeria: A Time Series Analysis

Mojekwu, J. N.; Iwuji, I. I.

doi:10.5539/ibr.v5n1p157

Cited by 8 publications

(9 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results show that the most serious issues faced by LMMIs, such as a shortage of power/electricity, shortages of raw materials and working capital, and government rules and regulations, significantly affected LMMIs not working at full capacity. This finding is consistent with Mojekwu & Iwuji (2012), who found that electricity supply has a significant positive impact on capacity utilization, and also that electricity and raw material shortages cause poor performance of infrastructural facilities, mainly due to frequent power cuts and the high cost of raw materials.…”

Section: Discussionsupporting

confidence: 91%

Binary logistic regression analysis on determinants of capacity utilization in medium and large manufacturing industries in Ethiopia

Yohannes¹,

Matebu²,

Asrat³

2023

5008

View full text Add to dashboard Cite

Most manufacturing industries in Ethiopia are not operating at full capacity. The manufacturing industry is one of the main determinants of the economic growth of a country; therefore, the reasons why they are not operating at full capacity have to be assessed. The aim of this study is to assess determinant factors associated with Ethiopia’s large and medium manufacturing industries (henceforth referred to as LMMIs in this study) not working at full capacity based on 2020 LMMI survey data. In this study, 3,067 large and medium manufacturing industries were examined. Among these industries, 78.71% were not working at their full capacity, while the remaining 21.29% were. Binary logistic methods were used to analyze the data. Study results found that the region, the number of months the establishment operated during the study period, the workplace of the manufacturing company, the effect of Covid-19, and the current most serious problem facing the establishment were statistically significant predictors for working at full capacity. LMMI intervention programs, including regional work, increasing the number of working months in the year, workplace, the effect of unexpected external influences (e.g., COVID-19) and major problems among LMMIs, should be put in place to increase the production to full capacity.

show abstract

Section: Discussionsupporting

confidence: 91%

Binary logistic regression analysis on determinants of capacity utilization in medium and large manufacturing industries in Ethiopia

Yohannes¹,

Matebu²,

Asrat³

2023

5008

View full text Add to dashboard Cite

show abstract

“…The manufacturing sector which is one of the key indices of growth and development in Nigeria, have suffered negligence over the years due to the overdependence of the Nigerian economy on the oil sector and the disregard of other sectors (agriculture, mining, energy and infrastructure) that boost manufacturing activities (Mojekwu, 2012). However, it also seems the operators of the sector have not taken into consideration the importance of efficient optimization strategies in the performance of their day to day supply chain activities, so as to improve on the responsiveness in the relationship with its customers.…”

Section: Introductionmentioning

confidence: 99%

Developing Efficient Lead Time Practice in the Supply Chain Process to Enhance Customers’ Satisfaction in FMCGs in Nigeria

2019

JESD

View full text Add to dashboard Cite

The production and delivery of high quality goods and services that satisfy customers' expectations are essential elements in determining the long term achievement of manufacturing companies. This paper aims to develop efficient lead time management in the supply chain processes of Nigerian fast moving consumer goods (FMCGs) manufacturing companies as this would enhance the production of indigenous products of high quality thereby satisfying the consumers' needs, moreover, contributing to economic growth and development of the manufacturing industry in Nigeria. The study uses a quantitative approach consisting of a cross-sectional survey and the administration of structured questionnaires to staff of FMCGs in selected study areas of Lagos and Ogun State, Nigeria. The data available for this study was analyzed using ordered logistic regression model with the aid of different statistical tool; SPSS IBM version 24 and STATA 13.0. The outcome of the study indicated the underlying dimensions of lead times and the service response level of customers, with an overall objective to meet customers' needs. Furthermore, the result showed that adequate stock level and reduction in lead times contributed to the availability of quality products to customers on time.

show abstract

“…This may be the case with the low capacity utilization in the pharmaceutical industry in spite of the fact that some products have been placed under import prohibition list, to encourage their local manufacture. Investment in infrastructure has a positive impact on manufacturing productivity, while inefficient investment in economic infrastructure (electricity and transport) has a negative effect on manufacturing productivity (Adenikinju and Olofin, 2000;Ukoha, 2000;Mojekwu and Iwuji, 2012). This indicates that government interventions must be all inclusive to realize high manufacturing activity in the pharmaceutical subsector.…”

Section: Discussionmentioning

confidence: 99%

Pharmaceutical industry capacity utilization in Nigeria

Ogaji¹,

Alawode²,

Iranloye³

2014

Afr. J. Pharm. Pharmacol.

View full text Add to dashboard Cite

The performance of any enterprise is influenced by the environment in which it is located. The last two decades has witnessed the pre and post democratic governance in Nigeria as well as a number of government initiatives aimed at addressing some challenges facing the health delivery system of the country. The purpose of this paper was to study the capacity utilization of the pharmaceutical industry within the period to understand whether there was or no association in the performance with these changes. A survey of the capacity utilization in the production of solid and liquid dosage forms was carried out. A study of the availability and distribution of scientific workforce in the industry was also undertaken. Interviews were held with some individuals to gain more insight in the activities of the pharmaceutical industry. The scientific workforce within and among organizations varied considerably and the variation was influenced by perceived benefits and opportunities. The study showed that the capacity utilization of the pharmaceutical industry increased steadily but marginally over the period. There was reason to believe that the marginal increments were influence by the government policies and initiatives during this period, but could be better if some economic investments such as steady electricity were made. It was concluded that a sustained support and provision of infrastructures by the government together with trained and motivated scientific workforce are important in improving the capacity utilization in the pharmaceutical industry.

show abstract

Factors Affecting Capacity Utilization Decisions in Nigeria: A Time Series Analysis

Cited by 8 publications

References 2 publications

Binary logistic regression analysis on determinants of capacity utilization in medium and large manufacturing industries in Ethiopia

Binary logistic regression analysis on determinants of capacity utilization in medium and large manufacturing industries in Ethiopia

Developing Efficient Lead Time Practice in the Supply Chain Process to Enhance Customers’ Satisfaction in FMCGs in Nigeria

Pharmaceutical industry capacity utilization in Nigeria

Contact Info

Product

Resources

About