尼日尔州南部地区经济潜力住区分类:区位商方法

ABDULLAHI ALHAJI ALIYU, MUSA DALIL, JAIYE J DUKIYA, EMMANUEL TANKO UMARU
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摘要

区域经济活动和发展是通过各种技术来衡量的,区位商(LQ)是最可靠的技术之一。本文利用LQ对尼日尔州南部地区的居民点进行了经济潜力分类。从尼日尔州尼日尔南联邦选区的8个地方政府的37个区选出的37个农村社区的1.040人进行了结构化问卷调查。收集的数据使用LQ进行分析。区域经济潜力的研究结果表明,社区主要从事基本经济活动;包括粮食作物(水稻、玉米、豆类、小米和山药)的种植;经济作物(benisead,花生,蔬菜,木薯和甜瓜)的种植,种植园农业(棕榈,可乐果,腰果和甘蔗)。发现的基本经济显示Egbako LQ最高平均得分为0.06分,紧随其后的是佐藤,Batako, Kusoyaba, Mukugi Kalmo, LQ平均得分为0.04,而非基本经济而言,研究结果表明Egbako和Kuchita非基本LQ最高平均得分为0.07分,紧随其后的是Katcha, Mukugi Gayankpa定居点和非基本经济LQ,平均得分为0.04。研究认为,LQ是衡量地区经济潜力的最佳技术之一。它还建议LQ用于区域经济评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CLASSIFICATION OF SETTLEMENTS BY ECONOMIC POTENTIALS IN THE SOUTHERN REGION OF NIGER STATE: A LOCATION QUOTIENT APPROACH
Regional economic activities and developments are measured through various techniques where Location Quotient (LQ) is one of the most reliable techniques. This paper classifies the settlements by economic potentials in the southern region of Niger state using the LQ. A structured questionnaire was administered to 1.040 in the 37 rural communities selected from 37 districts in 8 LGAs in the Niger South Federal constituency in Niger State. The data collected was analysed using LQ. Findings of the study in terms of economic potentials of the region, reveals that communities are mainly engaged in basic economic activities; including the cultivation of food crops (rice, maize, beans, millet and yam); cultivation of cash crops (benisead, ground nut, vegetable, cassava and melon), plantation agriculture (palm, kola nut, cashew and sugar cane). Findings in terms of basic economy revealed that Egbako has the highest LQ with an average score of 0.06, and is closely followed by Takuma, Batako, Kusoyaba, Mukugi and Kalmo, with an average LQ score of 0.04 each, while in terms of non-basic economy, the findings indicates that both Egbako and Kuchita have the highest non-basic LQ with an average score of 0.07, which were closely followed by Katcha, Mukugi and Gayankpa settlements with non-basic economic LQ and average scores of 0.04 each. The study concludes that LQ is one of the best techniques in measuring economic potentials of regions. It also recommends LQ for regional economic assessments.
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