IDEAS home Printed from https://ideas.repec.org/r/cin/ucecwp/2008-06.html
   My bibliography  Save this item

Determinants of land use changes: a spatial multinomial probit approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.
  2. Bolun Li & Robin Sickles & Jenny Williams, 2020. "Estimating Peer Effects on Career Choice: A Spatial Multinomial Logit Approach," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 359-381, Emerald Group Publishing Limited.
  3. Zhou, Yiwei & Wang, Xiaokun & Holguín-Veras, José, 2016. "Discrete choice with spatial correlation: A spatial autoregressive binary probit model with endogenous weight matrix (SARBP-EWM)," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 440-455.
  4. Corral, Paul & Radchenko, Natalia, 2017. "What’s So Spatial about Diversification in Nigeria?," World Development, Elsevier, vol. 95(C), pages 231-253.
  5. Lim, Krisha & Wichmann, Bruno & Luckert, Martin, 2021. "Adaptation, spatial effects, and targeting: Evidence from Africa and Asia," World Development, Elsevier, vol. 139(C).
  6. Ny Andraina Andriamanantena & Charly Gaufreteau & Jean-Sauveur Ay & Luc Doyen, 2022. "Climate-dependent scenarios of land use for biodiversity and ecosystem services in the New Aquitaine region," Post-Print halshs-03913031, HAL.
  7. Carrión-Flores, Carmen E. & Flores-Lagunes, Alfonso & Guci, Ledia, 2018. "An estimator for discrete-choice models with spatial lag dependence using large samples, with an application to land-use conversions," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 77-93.
  8. Lungarska, Anna & Chakir, Raja, 2018. "Climate-induced Land Use Change in France: Impacts of Agricultural Adaptation and Climate Change Mitigation," Ecological Economics, Elsevier, vol. 147(C), pages 134-154.
  9. B. Chupp, 2014. "Political interaction in the senate: estimating a political “spatial” weights matrix and an application to lobbying behavior," Public Choice, Springer, vol. 160(3), pages 521-538, September.
  10. Padeiro, Miguel, 2014. "The influence of transport infrastructures on land-use conversion decisions within municipal plans," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(1), pages 79-93.
  11. Raja Chakir & Thibault Laurent & Anne Ruiz-Gazen & Christine Thomas-Agnan & Céline Vignes, 2017. "Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles," Revue économique, Presses de Sciences-Po, vol. 68(3), pages 435-469.
  12. repec:asg:wpaper:1048 is not listed on IDEAS
  13. Chakir, Raja & Lungarska, Anna, 2015. "Agricultural land rents in land use models: a spatial econometric analysis," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212641, European Association of Agricultural Economists.
  14. Yazeed Abdul Mumin & Awudu Abdulai & Renan Goetz, 2023. "The role of social networks in the adoption of competing new technologies in Ghana," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 510-533, June.
  15. Chandra R. Bhat & Subodh K. Dubey & Mohammad Jobair Bin Alam & Waleed H. Khushefati, 2015. "A New Spatial Multiple Discrete-Continuous Modeling Approach To Land Use Change Analysis," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 801-841, November.
  16. António Xavier & Rui Fragoso & Maria De Belém Costa Freitas & Maria Do Socorro Rosário & Florentino Valente, 2018. "A Minimum Cross-Entropy Approach to Disaggregate Agricultural Data at the Field Level," Land, MDPI, vol. 7(2), pages 1-16, May.
  17. Julie Bourbeillon & Thomas Coisnon & Damien Rousselière & Julien Salanié, 2021. "Characterising the Landscape in the Analysis of Urbanisation Factors: Methodology and Illustration for the Urban Area of Angers," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 528-529, pages 109-128.
  18. Wang, Xiaokun (Cara) & Kockelman, Kara M. & Lemp, Jason D., 2012. "The dynamic spatial multinomial probit model: analysis of land use change using parcel-level data," Journal of Transport Geography, Elsevier, vol. 24(C), pages 77-88.
  19. Yiyi Wang & Kara Kockelman & Paul Damien, 2014. "A spatial autoregressive multinomial probit model for anticipating land-use change in Austin, Texas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(1), pages 251-278, January.
  20. Manuel Ruiz & Fernando López & Antonio Páez, 2010. "Testing for spatial association of qualitative data using symbolic dynamics," Journal of Geographical Systems, Springer, vol. 12(3), pages 281-309, September.
  21. Tirtha, Sudipta Dey & Bhowmik, Tanmoy & Eluru, Naveen, 2024. "Accommodating spatio-temporal dependency in airline demand modeling," Journal of Air Transport Management, Elsevier, vol. 116(C).
  22. D. M. Lambert & C. N. Boyer & L. He, 2016. "Spatial-temporal heteroskedastic robust covariance estimation for Markov transition probabilities: an application examining land use change," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 353-362, October.
  23. Jean-Sauveur Ay & Raja Chakir & Luc Doyen & Frédéric Jiguet & Paul Leadley, 2014. "Integrated models, scenarios and dynamics of climate, land use and common birds," Climatic Change, Springer, vol. 126(1), pages 13-30, September.
  24. Michael Brady & Elena Irwin, 2011. "Accounting for Spatial Effects in Economic Models of Land Use: Recent Developments and Challenges Ahead," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(3), pages 487-509, March.
  25. Fukui, Shinya & Anh Luong, Dung, 2024. "Impact of diseconomy of mixed land-use on factory land redevelopment in large urban area: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 71(C).
  26. Lee, Meongsu, 2018. "Impacts of Net Returns Per Acre on Land Use after Conservation Reserve Program Contract Expiration," 2018 Annual Meeting, August 5-7, Washington, D.C. 273877, Agricultural and Applied Economics Association.
  27. Giuseppe Arbia, 2011. "A Lustrum of SEA: Recent Research Trends Following the Creation of the Spatial Econometrics Association (2007--2011)," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 377-395, July.
  28. Wang, Yiyi & Kockelman, Kara M. & Wang, Xiaokun (Cara), 2013. "Understanding spatial filtering for analysis of land use-transport data," Journal of Transport Geography, Elsevier, vol. 31(C), pages 123-131.
  29. Abildtrup, Jens & Garcia, Serge & Stenger, Anne, 2013. "The effect of forest land use on the cost of drinking water supply: A spatial econometric analysis," Ecological Economics, Elsevier, vol. 92(C), pages 126-136.
  30. Maples, Chellie H. & Hagerman, Amy D. & Lambert, Dayton M., 2022. "Ex-ante effects of the 2018 Agricultural Improvement Act’s grassland initiative," Land Use Policy, Elsevier, vol. 116(C).
  31. Jie Song & Ruoniu Wang, 2017. "Measuring the Spatial Dimension of Automobile Ownership and Its Associations with Household Characteristics and Land Use Patterns: A Case Study in Three Counties, South Florida (USA)," Sustainability, MDPI, vol. 9(4), pages 1-19, April.
  32. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
  33. Brasington, David & Flores-Lagunes, Alfonso & Guci, Ledia, 2016. "A spatial model of school district open enrollment choice," Regional Science and Urban Economics, Elsevier, vol. 56(C), pages 1-18.
  34. Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
  35. Chen, T. Donna & Wang, Yiyi & Kockelman, Kara M., 2015. "Where are the electric vehicles? A spatial model for vehicle-choice count data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 181-188.
  36. Chakravarty, Shourish & Wang, Yangyang & Zhou, Mo, 2021. "Assessing Impacts of Deforestation on Water Quality in Agricultural Landscape in Indiana," 2021 Annual Meeting, August 1-3, Austin, Texas 314014, Agricultural and Applied Economics Association.
  37. Páez, Antonio & López, Fernando A. & Ruiz, Manuel & Morency, Catherine, 2013. "Development of an indicator to assess the spatial fit of discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 217-233.
  38. Chandra Bhat, 2015. "A new spatial (social) interaction discrete choice model accommodating for unobserved effects due to endogenous network formation," Transportation, Springer, vol. 42(5), pages 879-914, September.
  39. Nery, Thayse & Polyakov, Maksym & Sadler, Rohan & White, Ben, 2019. "Spatial patterns of boom and bust forestry investment development: A case study from Western Australia," Land Use Policy, Elsevier, vol. 86(C), pages 67-77.
  40. Mario Figueira & Carmen Guarner & David Conesa & Antonio López-Quílez & Tamás Krisztin, 2025. "Unveiling Land Use Dynamics: Insights from a Hierarchical Bayesian Spatio-Temporal Modelling of Compositional Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 30(2), pages 283-308, June.
  41. Nazneen Ferdous & Chandra Bhat, 2013. "A spatial panel ordered-response model with application to the analysis of urban land-use development intensity patterns," Journal of Geographical Systems, Springer, vol. 15(1), pages 1-29, January.
  42. Ny Andraina Andriamanantena & Charly Gaufreteau & Jean-Sauveur Ay & Luc Doyen, 2021. "Ecological-economic scenarios of land-use for biodiversity and ecosystem services in the New Aquitaine region," Bordeaux Economics Working Papers 2021-18, Bordeaux School of Economics (BSE).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.