Autoregressive distributed lag estimation of bank financing and Nigerian manufacturing sector capacity utilization

IF 3.2 Q1 BUSINESS, FINANCE
K. A. Saka, Y. I. Bolanle
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引用次数: 0

Abstract

This study examined the short-term and long-term relationship between credit financing by commercial banks and capacity utilization of the manufacturing sector in Nigeria. The study employed both classical Multiple Linear Regression (OLS-MLR) and the autoregressive distributed lag model (ARDL) to analyze data representing the period 1981–2020 relating to sectoral credit finance,labor employment,and capacity utilization from the Central Bank of Nigeria Statistical Bulletin (2020) and World Bank Development Indicators (2021). Further,the two estimation procedures were performed within a classical endogenous Cobb-Douglas production function framework that takes technical change into consideration. The bounds test indicated no long-term relationship between bank financing and average capacity utilization of the manufacturing sector in Nigeria. However,the ARDL results revealed that bank financing exerts a positive but insignificant short-term impact on the average capacity utilization of the manufacturing sector in Nigeria. Consequently,the researchers affirm that credit financing by commercial banks in Nigeria has no significant impact on the capacity utilization of the country's manufacturing sector,in neither the short run nor the long run.
银行融资与尼日利亚制造业产能利用率的自回归分布滞后估计
本研究考察了商业银行信贷融资与尼日利亚制造业产能利用率之间的短期和长期关系。该研究采用经典多元线性回归(OLS-MLR)和自回归分布滞后模型(ARDL)来分析1981-2020年期间来自尼日利亚中央银行统计公报(2020)和世界银行发展指标(2021)的有关部门信贷融资、劳动力就业和产能利用率的数据。此外,这两个估计过程是在考虑技术变化的经典内生柯布-道格拉斯生产函数框架内进行的。边界检验表明,银行融资与尼日利亚制造业的平均产能利用率之间没有长期关系。然而,ARDL结果显示,银行融资对尼日利亚制造业的平均产能利用率产生了积极但不显著的短期影响。因此,研究人员确认,尼日利亚商业银行的信贷融资对该国制造业的产能利用率没有显著影响,无论是短期还是长期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
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