Identifying the Extent of the Urban Fringe and Its Impact on Agricultural Land Values

2014 ◽  
Vol 90 (4) ◽  
pp. 587-600 ◽  
Author(s):  
B. A. Delbecq ◽  
T. H. Kuethe ◽  
A. M. Borchers
2005 ◽  
Vol 27 (4) ◽  
pp. 526-541 ◽  
Author(s):  
Mykel R. Taylor ◽  
Gary W. Brester

2020 ◽  
Vol 13 (4) ◽  
pp. 224
Author(s):  
Fombe Lawrence F. ◽  
Acha Mildred E.

Worldwide urban areas are having increasing influence over the surrounding landscape. Peri-urban regions of the world are facing challenges which results from sprawl with increasing problems of social segregation, wasted land and greater distance to work. This study seeks to examine the trends in land use dynamics, urban sprawl and associated development implications in the Bamenda Municipalities from 1996 to 2018. The study made use of the survey, historical and correlational research designs. The purposive and snowball techniques were used to collect data. Spatiotemporal analyses were carried out on Landsat Images for 1996, 2008, and 2018 obtained from Earth Explorer, Erdas Image 2014 and changes detected from the maps digitized. The SPSS version 21 and MS Excel 2016 were used to analyze quantitative and qualitative data. The former employed the Pearson correlation analysis. Analysis of land use/land cover change detection reveals that built-up area has increased significantly from 1996 to 2018 at the detriment of forest, wetland and agricultural land at different rates within each municipality. These changes have led to invasion of risk zones, high land values, uncoordinated, uncontrolled and unplanned urban growth. The study suggests that proactive planning, use of GIS to monitor land use activities, effective implementation of existing town planning norms and building regulations, are invaluable strategies to sustainably manage urban growth in Bamenda.


2018 ◽  
Vol 78 (4) ◽  
pp. 441-456 ◽  
Author(s):  
Robert Dinterman ◽  
Ani L. Katchova ◽  
James Michael Harris

Purpose The purpose of this paper is to evaluate farm financial stress within the USA over the past 20 years and the agricultural and economic factors which have impacted farm businesses. The effect of the 2005 Bankruptcy Abuse Prevention and Consumer Protection Act (BAPCPA) on farm financial stress is further evaluated. In particular, Chapter 12 bankruptcies – which can only be filed by farmers – were only a temporary measure until BAPCPA made Chapter 12 a permanent fixture in bankruptcy law. Design/methodology/approach Chapter 12 bankruptcy filings from 1997 until 2016 are used as a proxy for farm financial stress. Panel fixed effects models are used to determine relevant factors affecting financial stress for farmers from agricultural and macroeconomic perspectives. Further, models incorporating pre- and post-BAPCPA regimes are utilized. Findings The results show that macroeconomic factors (interest and unemployment rates) are strong predictors of farm bankruptcies for farms while agricultural land values are the only consistent strong predictor among the agricultural factors. When evaluating the post-BAPCPA regime, only agricultural land values continue to be a significant predictor of farm bankruptcies. The findings also indicate a dynamic relationship with agricultural land values, where current year values are negatively related but previous year land values are positively related to bankruptcies. Originality/value The authors provide an analysis of the post-BAPCPA regime on farm bankruptcies that has not been evaluated within the literature yet. Further, the findings illuminate discussion on a potentially dynamic relationship with financial stress and agricultural land values.


2014 ◽  
Vol 97 (1) ◽  
pp. 282-298 ◽  
Author(s):  
Alison J. Eagle ◽  
David E. Eagle ◽  
Tracy E. Stobbe ◽  
G. Cornelis Kooten

1975 ◽  
Vol 7 (1) ◽  
pp. 137-143
Author(s):  
Fred C. White ◽  
Bill R. Miller ◽  
Charles A. Logan

A use-value assessment tax requires a system by which agricultural land values may be established. Land value in agricultural use can in principle be determined from the land's income-generating ability. The value of agricultural land can be based upon the capitalized income stream, which implies that net income attributable to land resource, or more theoretically, its value of the marginal product, can be capitalized into economic value. A major weakness in the process of determining net returns to land is the requirement that returns to other production inputs can be determined accurately. To be exact, the marginal productivity of every input must be known.


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