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Identifying spatial interactions in the presence of spatial error autocorrelation: An application to land use spillovers

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  • Carrión-Flores, Carmen
  • Irwin, Elena G.

Abstract

Spatial spillovers--interaction effects among neighboring agents in space--are a common characteristic of a variety of processes that are of interest to environmental and resource economists. Empirical identification of these interactions is challenging, however, due to the endogenous nature of the interactions and the inevitable unobserved spatial correlation that, if uncontrolled, can result in spurious estimates of the interaction parameters. Traditional spatial econometric models rely on maintained assumptions that impose separate structures for the spatial error and interaction processes and thus are insufficient for solving this identification problem. To identify spatial land use spillovers in a hedonic model of residential housing values, we pursue an alternative approach by exploiting a natural experiment in the data. We use exogenous physical land features that impose a direct constraint on residential development on some, but not all, of the land that falls within our study region and use this to construct a "partial population identifier." We find that this estimation strategy solves the endogeneity problem and reduces spatial error autocorrelation, but does not fully eliminate it. Estimation of the model using a more restricted sample in combination with the partial population identification strategy is successful in eliminating the remaining spatial error autocorrelation. We conclude that less restrictive approaches to controlling for unobserved spatial correlation, such as the natural experiment pursued here, may provide a superior alternative to identifying spatial spillovers.

Suggested Citation

  • Carrión-Flores, Carmen & Irwin, Elena G., 2010. "Identifying spatial interactions in the presence of spatial error autocorrelation: An application to land use spillovers," Resource and Energy Economics, Elsevier, vol. 32(2), pages 135-153, April.
  • Handle: RePEc:eee:resene:v:32:y:2010:i:2:p:135-153
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    2. Elena G. Irwin & Andrew M. Isserman & Maureen Kilkenny & Mark D. Partridge, 2010. "A Century of Research on Rural Development and Regional Issues," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 522-553.
    3. Wen, Lanjiao & Chatalova, Lioudmila & Gao, Xin & Zhang, Anlu, 2021. "Reduction of carbon emissions through resource-saving and environment-friendly regional economic integration: Evidence from Wuhan metropolitan area, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    5. Wen, Le & Suomalainen, Kiti & Sharp, Basil & Yi, Ming & Sheng, Mingyue Selena, 2022. "Impact of wind-hydro dynamics on electricity price: A seasonal spatial econometric analysis," Energy, Elsevier, vol. 238(PC).
    6. Storm, Hugo & Heckelei, Thomas, 2015. "Local and regional spatial interactions in the analysis of Norwegian farm growth," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212648, European Association of Agricultural Economists.
    7. Wu, Changyan & Huang, Xianjin & Chen, Bowen, 2020. "Telecoupling mechanism of urban land expansion based on transportation accessibility: A case study of transitional Yangtze River economic Belt, China," Land Use Policy, Elsevier, vol. 96(C).
    8. Carmen Carrión-Flores & Elena G. Irwin, 2017. "A fixed effects logit model of rural land conversion and zoning," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 181-208, January.
    9. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency? A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    10. Zipp, Katherine Y. & Lewis, David J. & Provencher, Bill, 2017. "Does the conservation of land reduce development? An econometric-based landscape simulation with land market feedbacks," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 19-37.
    11. Rainer Schulz & Martin Wersing, 2012. "A Slab in the Face: Building Quality and Neighborhood Effects," SFB 649 Discussion Papers SFB649DP2012-020, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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