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The Impact of an Urban Growth Boundary on Land Development in Knox County, Tennessee: A Comparison of Two-Stage Probit Least Squares and Multilayer Neural Network Models

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  • Cho, Seong-Hoon
  • Omitaomu, Olufemi A.
  • Poudyal, Neelam C.
  • Eastwood, David B.

Abstract

The impact of an urban growth boundary (UGB) on land development in Knox County, TN is estimated via two-stage probit and neural-network models. The insignificance of UGB variable in the two-stage probit model and more visible development patterns in the western part of Knoxville and the neighboring town of Farragut during the post-UGB period in both models suggest that the UGB has not curtailed urban sprawl. Although the network model is found to be a viable alternative to more conventional discrete choice approach for improving the predictability of land development, it is at the cost of evaluating marginal effects.

Suggested Citation

  • Cho, Seong-Hoon & Omitaomu, Olufemi A. & Poudyal, Neelam C. & Eastwood, David B., 2007. "The Impact of an Urban Growth Boundary on Land Development in Knox County, Tennessee: A Comparison of Two-Stage Probit Least Squares and Multilayer Neural Network Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 39(3), pages 701-717, December.
  • Handle: RePEc:cup:jagaec:v:39:y:2007:i:03:p:701-717_02
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    Cited by:

    1. Kehao Zhou & Ronghui Tan, 2022. "More Than Thirty Years of Environmentally Sensitive Area Loss in Wuhan: What Lessons Have We Learned from Urban Containment Policy?," Land, MDPI, vol. 11(8), pages 1-20, August.
    2. Kim, Seung Gyu & Cho, Seong-Hoon & Classen, Roger, 2012. "Exploring Spatially Heterogeneous Effect of Property Tax Scheme on Land Development," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124709, Agricultural and Applied Economics Association.
    3. Jie Lu & Chaojie Liu & Michael Buxton, 2021. "The Impact Of Urban Growth Boundaries In Melbourne On Urban Sustainable Development," Engineering Heritage Journal (GWK), Zibeline International Publishing, vol. 5(1), pages 34-41, June.
    4. Zhou, Ting & Yang, Xi & Ke, Xinli, 2022. "Delimitation of urban growth boundaries by integratedly incorporating ecosystem conservation, cropland protection and urban compactness," Ecological Modelling, Elsevier, vol. 468(C).
    5. Dempsey, Judith A. & Plantinga, Andrew J., 2013. "How well do urban growth boundaries contain development? Results for Oregon using a difference-in-difference estimator," Regional Science and Urban Economics, Elsevier, vol. 43(6), pages 996-1007.
    6. Tan, Ronghui & Liu, Pengcheng & Zhou, Kehao & He, Qingsong, 2022. "Evaluating the effectiveness of development-limiting boundary control policy: Spatial difference-in-difference analysis," Land Use Policy, Elsevier, vol. 120(C).
    7. Jae Hong Kim, 2013. "Measuring the Containment and Spillover Effects of Urban Growth Boundaries: The Case of the Portland Metropolitan Area," Growth and Change, Wiley Blackwell, vol. 44(4), pages 650-675, December.
    8. Xiaoqiang Shen & Jinping Wang & Xiaobin Zhang & Hanlu Bei, 2022. "Review of Research on Non-Conforming Urban Expansion: Measurement, Interpretation, and Governance," Land, MDPI, vol. 11(12), pages 1-21, November.
    9. Haoying Han & Chen Huang & Kun-Hyuck Ahn & Xianfan Shu & Liyun Lin & Derong Qiu, 2017. "The Effects of Greenbelt Policies on Land Development: Evidence from the Deregulation of the Greenbelt in the Seoul Metropolitan Area," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    10. Marin V. Geshkov & Joseph S. DeSalvo, 2012. "The Effect Of Land-Use Controls On The Spatial Size Of U.S. Urbanized Areas," Journal of Regional Science, Wiley Blackwell, vol. 52(4), pages 648-675, October.

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