尼日利亚江户州的电力消费者和电力盗窃:对有效配电的影响

Bright Inhim Ogbe
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摘要

多年来,尼日利亚一直面临着发电、供电和配电不足的挑战。人们越来越担心该国普遍存在的窃电现象,这被认为是制约电力部门效率的主要因素之一。本研究旨在确定尼日利亚埃多州电力消费者中窃电的趋势。该研究采用调查方法,在尼日利亚埃多州随机选择的城镇调查家庭中盗窃电力的流行程度。研究对象包括在BEDC描述的住宅类别下的电力消费者。217名居民消费者和北京经济发展中心的官员完成了调查问卷。调查结果显示,32.7%的电力消费者表示他们从未参与过能源盗窃,而67.3%的人表示高度参与。采用线性回归分析来回答电力盗窃是否影响江户州的有效配电。结果表明,电力盗窃对江户州F的有效电力分配有统计学意义(1,12),21.36 P< 0.05。此外,R2表明,电力盗窃造成了江户州电力分配效率低下的54.4%。因此,研究区盗电趋势较高,严重影响了电力的有效分配。研究结果为政府和电力监管机构提供了有价值的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ELECTRICITY CONSUMERS AND ELECTRICITY THEFT IN EDO STATE, NIGERIA: IMPLICATION FOR EFFICIENT POWER DISTRIBUTION
Over the years, Nigeria has faced the challenges of inadequate generation, supply, and distribution of power. There is growing concern about the pervasiveness of electricity theft in the country, suggested to be among the chief factors inhibiting electricity sector efficiencies. The present study aimed to ascertain the trend of electricity theft among electricity consumers in Edo state, Nigeria. The study adopted a survey method to examine the prevalence of electricity theft among households in randomly selected towns in Edo state, Nigeria. The study population comprised electricity consumers under the residential category described by the BEDC. A convenient sample of 217 residential consumers and BEDC officials completed the research questionnaires. The finding shows that 32.7% of the electricity consumers indicated they never participated in energy theft, while 67.3% showed high involvement. A linear regression analysis was conducted to answer whether electricity theft affects efficient power distribution in Edo state. The result demonstrated a statistically significant effect of electricity theft on efficient power distribution in Edo state F (1, 12), 21.36 P< .05. Also, the R2 indicated that electricity theft contributed about 54.4% of the inefficiencies in power distribution in Edo state. Thus, it is concluded that the trend of electricity theft is high in the area of study and significantly affects the efficient distribution of electricity. The result provides valuable data to the government and electricity regulators.
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