Home > Other Scientific Research Area > Other > Volume-8 > Issue-3 > A Statistical Model for Boosting Local Manufacturing Entrepreneurship in Delta State, Nigeria

A Statistical Model for Boosting Local Manufacturing Entrepreneurship in Delta State, Nigeria

Call for Papers

Volume-8 | Issue-6

Last date : 27-Dec-2024

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area


A Statistical Model for Boosting Local Manufacturing Entrepreneurship in Delta State, Nigeria


Dr. Onwubuya Nwabudike | Mr. Obisue Eddy | Mr. Ogumane Andrew



Dr. Onwubuya Nwabudike | Mr. Obisue Eddy | Mr. Ogumane Andrew "A Statistical Model for Boosting Local Manufacturing Entrepreneurship in Delta State, Nigeria" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-3, June 2024, pp.254-260, URL: https://www.ijtsrd.com/papers/ijtsrd64867.pdf

This study investigates the factors influencing production volume in the small and medium-scale manufacturing sector of Delta State, Nigeria. We develop a linear regression model that analyzes the impact of access to electricity, loan availability, raw material cost, and industry type on the number of units produced per month. Statistical analysis reveals that specialization in food processing, consistent electricity access, and higher loan availability positively correlate with production volume. Conversely, high raw material costs negatively impact production. The model achieves a Root Mean Squared Error (RMSE) of 9.75 units/month, indicating a good fit for predicting production volume. These findings offer valuable insights for stakeholders aiming to boost local entrepreneurship and economic growth in Delta State. Recommendations include utilizing the model for informed investment decisions, implementing policies that improve electricity access and loan availability for manufacturers, and advocating for initiatives that address sector challenges.

Manufacturing, Entrepreneurship, Delta State, Nigeria, Statistical Modeling, Production Volume, Access to Electricity, Loan Availability, Raw Material Cost


IJTSRD64867
Volume-8 | Issue-3, June 2024
254-260
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin