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Classification of settlements by economic potentials in the southern region of Niger State: a location quotient approach

Aliyu Abdullahi Alhaji, Dalil Musa, Dukiya Jaiye J., Umaru Emmanuel Tanko

Structure and Environment

2023

Vol. 15, no. 3

125--132

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.

Działalność gospodarcza w regionie oraz rozwój regionu są mierzone różnymi metodami, wśród których iloraz lokalizacji (LQ) jest jedną z najbardziej wiarygodnych technik. Niniejszy artykuł klasyfikuje osady według potencjału gospodarczego w południowym regionie stanu Niger przy użyciu wskaźnika specjalizacji regionalnej LQ. Ankietę zawierającą pytania zamknięte rozdano 1040 osobom w 37 społecznościach wiejskich wybranych z 37 stref ośmiu obszarów samorządowych w okręgu federalnym Niger South w stanie Niger. Zebrane dane zostały przeanalizowane przy użyciu techniki LQ. Wyniki badania w zakresie potencjału gospodarczego regionu pokazują, że społeczności są głównie zaangażowane w bazową działalność gospodarczą, w tym uprawę roślin spożywczych (ryż, kukurydza, fasola, proso i ignam); produkcję upraw rynkowych (benisead, orzeszki ziemne, warzywa, maniok i melony), rolnictwo plantacyjne (palma, orzech kola, nerkowiec i trzcina cukrowa). Najwyższą wartość LQ dla działalności podstawowej uzyskało Egbako ze średnim wynikiem 0,06, następnie Takuma, Batako, Kusoyaba, Mukugi i Kalmo, ze średnim wynikiem LQ 0,04. Pod względem gospodarki niebazowej zarówno Egbako, jak i Kuchita mają najwyższe LQ ze średnim wynikiem 0,07, a tuż za nimi plasują się osady Katcha, Mukugi i Gayankpa ze średnimi wynikami LQ 0,04. W badaniach stwierdzono, że LQ jest jedną z najlepszych technik pomiaru potencjału gospodarczego regionów. Technikę tę poleca się również do wykorzystania przy sporządzaniu ekonomicznych ocen regionalnych.

Identification of prospective industrial clusters in Slovakia

Elexa Ľuboš, Lesáková Ľubica, Klementová Vladimíra, Klement Ladislav

Engineering Management in Production and Services

2019

Vol. 11, no. 2

31--42

Clusters became an integral part of regional policies intended to build and strengthen competitive advantages within specifically identified geographical areas. They are still considered crucial for economic development and employment, although their orientation has slightly changed as the distance and geographical boundaries lost their importance. This article analyses crucial regional data that indicates potentially beneficial economic concentrations as an assumption for the preparation of prospective clusters in Slovakia. Potential clusters were identified based on significant employment concentrations of particular regional industries that appear extraordinary when compared with national employment and the dynamic development within the selected time frame. Prospective clusters were identified, and opportunities of their development were described, including the harmonisation with the current regional and urban strategy. Analysing absolute and relative quantities in employment, sections and divisions of SK NACE were used for the proper identification of industries. The location quotient served as a tool for the spatial concentration of employment in the Banská Bystrica region, the threshold value for the selection of cluster candidates was set to 2. The shift–share analysis was used for the identification of long-term changes in employment, and 10% of the most dynamic industries were presented at the level of divisions once and then, at the level of sections of SK NACE. Forestry and logging, the manufacture of wood products and the manufacture of basic metals were confirmed by both methods as significant concentrations. The result partially corresponded with the previously active and currently inactive cluster in Banská Bystrica, which was focused on mechanical engineering, still significant when considering numbers of companies and employees as well as sales. Forestry was the most concentrated industry, while the wholesale and retail trades were the most dynamic. Forestry, logging and manufacture of wood products might be strongly interlinked with the current entrepreneurial and social strategy of self-governing regions that is still at the stage of potential cluster identification and fitting to its priorities. The article assumed basic quantitative methods utilised for the identification of prospective clusters. It confirmed the practicality of their application, the gravity of data processing and also certain possible limitations due to the extraordinary focus on the employment concentration. According to the analysis and gained results, the former cluster in the Banská Bystrica region was confirmed as the potentially significant actor in the regional policy (although, currently, having no industrial or public interest) and the new cluster candidates were identified. Outcomes indicated the need to continue the research with a more detailed examination of qualitative aspects that could complete the effort by focusing on clusters not only having higher employment statistics but also the support from regional institutions, also reflecting the preferences of businesses.