Journal
LAND
Volume 10, Issue 10, Pages -Publisher
MDPI
DOI: 10.3390/land10101094
Keywords
remote sensing; land-use change; urban growth; socio-economic variables; federal allocation
Categories
Funding
- German Academic Exchange Service [91666076]
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This study investigates the impact of economic variables on urban built-up patterns, using the case study of a mid-sized city in southeastern Nigeria. Results show that increases in federal allocation, investment tax, direct tax, and indirect tax trigger urban expansion into vegetative land, affecting land value in suburban areas and the provision of social amenities.
Urban growth has transformed many mid-sized cities into metropolitan areas. One of the effects of this growth is a change in urban growth patterns, which are directly linked with household income. Hence, this paper aims to assess the effect of different economic variables that trigger urban built-up patterns, using economic indicators such as city administrative taxes, a socio-economic survey of living standards, household income and satellite data. The regression model was used and adapted, and a case study is presented for the mid-sized city of Uyo in southeastern Nigeria. The result shows sparse built-up growth patterns with numerous adverse effects. Although, there is awareness of the impact of unregulated sparse built-up growth patterns in the literature, little attention has been given to this growth pattern in Africa. The results also show that increases in federal allocation (27%), investment tax (22%), direct tax (52%) and indirect tax (26%) have led to urban expansion into vegetative land and have a causal correlation with different built-up areas. Hence, medium and high-income earners migrate to suburban areas for bigger living space and a lack of basic social amenities affects the land value in suburban areas. They also assist in the provision of social amenities in the neighborhood.
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