尼日利亚的商业约束:对生产力的影响

U. Musa, Olutope Olufunso Olorunfemi, David Wazamari Ndagwakwa, Annette Onyebuchi Eze, Daniel Oluwaseun Mimiko, Y. Musa, Amechi Henry Igweze, Uyu Eyo Ita
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引用次数: 0

摘要

本研究旨在确定尼日利亚的主要制约因素及其对生产率的影响,研究采用了尼日利亚所有州和联邦首都直辖区的两阶段随机抽样方法。采用描述性统计和因子分析对数据进行分析。人工智能(大数据分析的一个方面)也被用来衡量尼日利亚互联网空间中已确定的限制因素的情绪。本研究利用因子分析确定了尼日利亚的主要商业制约因素。在现有文献中确定并在本研究中考虑的15(18)个制约因素中,本研究在三个部门以及整个经济中主要具有四个主要制约因素:不安全、高/多重税收、敲诈勒索/腐败和高银行收费。尼日利亚经济各部门中确定的主要制约因素是那些被认为是在政府管辖和控制之下的因素。第二组最严重的限制主要是那些在企业范围和控制范围内的限制:而作为第三组限制的主要变量是那些与劳工和政策问题有关的变量。本研究采用分类回归模型拟合生产率与业务约束之间的关系。研究结果显示,18个制约因素中有6个对各个部门的生产率有负面和显著的影响:不明确的经济法、低需求、劳动力问题、不利的经济气候、高银行收费和部门对生产率有显著影响。然而,缺乏知识/培训对生产力有积极和显著的影响。本研究的结果将指导尼日利亚中央银行(CBN)和各级政府制定有助于企业生存的政策。确定整个经济的主要业务限制将指导CBN做出一般业务干预决策,而确定各个部门的限制将指导CBN做出特定部门的干预,特别是在农业和工业部门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Business Constraints in Nigeria: Implications on Productivity
: This study was to identify major constraints and how they effect on productivity in Nigeria using a two stage random sampling of firms from all states in Nigeria and the Federal Capital Territory was used for the study. The descriptive statistics and factor analysis were used in the analysis of the data. Artificial Intelligence, an aspect of big data analysis was also used to gauge the sentiments of the identified constraints across the Nigerian internet space. This study identified major business constraints in Nigeria using factor analysis. Of the fifteen (18) constraints identified in extant literatures and considered in this study, four main constraints predominantly featured in this present study across the three sectors as well as the whole economy: insecurity, high/multiple taxes, extortion/corruption and high bank charges. The major constraints identified in the various sectors of the Nigerian economy are those perceived to be under the purview and control of government. The next most serious set of constraints were predominantly those within the purview and control of businesses: while the variables that predominantly featured as the third set of constraints are those related to labour and policy issues. The study used categorical regression model to fit the relationship between productivity and business constraints. The findings reveal that six of the eighteen constraints have negative and significant effect on productivity across the sectors: unclear economic law, low demand, labour problems, unfavourable economic climate, high bank charges and sector have significant effect on productivity. Lack of knowledge/training was however found to have positive and significant effect on productivity. The findings in this study will guide the Central bank of Nigeria (CBN) and the various level of government in making policies that will aid survival of businesses. Identifying the major business constraints for the whole economy will guide the CBN in making decisions on general business interventions while the constraints identified across the sectors will guide the CBN in making sector specific interventions especially in the agricultural and industrial sectors.
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