Preços da terra e acessibilidade aos centros de emprego em Cali: análise exploratória com informações 2015-2017
DOI:
https://doi.org/10.18046/j.estger.2020.155.3336Palavras-chave:
preços da terra, segregação residencial, regressão espacial, ponderações geográficas, regressão geograficamente ponderadaResumo
A acessibilidade a oportunidades de emprego e a variabilidade dos preços da terra representam ideias centrais do modelo canônico de localização residencial. Este artigo explora a distribuição dos preços da terra e a acessibilidade diferenciada aos centros e subcentros de emprego em Cali. Utilizando algumas estimativas econométricas espaciais com efeitos de spillover e a calibração de um modelo de ponderações geográficas, explora-se a não sazonalidade dos preços da terra, a variabilidade paramétrica da segregação residencial e a acessibilidade diferencial às centralidades de emprego. As estimativas sugerem, uma vez considerada a endogeneidade, que a segregação e a acessibilidade são significativas na explicação do comportamento dos preços da terra.
Downloads
Referências
Alonso, W. (1964). Location and land use. Cambridge, MA: Harvard University Press. http://dx.doi.org/10.4159/harvard.9780674730854
Anas, A., Arnott, R. y Small, K. A. (1998). Urban spatial structure. Journal of Economic Literature, 36(3), 1426-1464.
Anselin, L. (1988). Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geographical analysis, 20(1), 1-17. https://doi.org/10.1111/j.1538-4632.1988.tb00159.x
Anantsuksomsri, S. y Tontisirin, N. (2015). The impacts of mass transit improvements on residential land development values: Evidence from the Bangkok Metropolitan Region. Urban Policy and Research, 33(2), 195-216. https://doi.org/10.1080/08111146.2014.982791
Apparicio, P., Petkevitch, V. y Charron, M. (2008). Segregation Analyzer: A C#. Net application for calculating residential segregation indices. Cybergeo: European Journal of Geography. https://doi.org/10.4000/cybergeo.16443
Banco de Desarrollo de América Latina. (2017). Crecimiento urbano y acceso a oportunidades: un desafío para América Latina. Bogotá, Colombia. http://scioteca.caf.com/handle/123456789/1090
Barbary, O. y Urrea, F. (Eds.). (2004). Gente negra en Colombia. Cali: Editorial Lealon - CIDSE Univalle - IRD - Colciencias.
Barthelemy, M. (2016). The structure and dynamics of cities. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781316271377
Bayer, P. y McMillan, R. (2008). Distinguishing racial preferences in the housing market: Theory and evidence. En A. Baranzini, J. Ramirez, C. Schaerer, P. Thalmann (Eds.), Hedonic methods in housing markets (pp. 225-244). New York: Springer. https://doi.org/10.1007/978-0-387-76815-1_11
Bitter, C., Mulligan, G. F. y Dall’erba, S. (2007). Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method. Journal of Geographical Systems, 9(1), 7-27. https://doi.org/10.1007/s10109-006-0028-7
Brueckner, J. K. (1987). The structure of urban equilibria: A unified treatment of the Muth-Mills model. En G. Duranton, J. V. Henderson y W. C. Strange (Eds.), Handbook of Regional and Urban Economics, (pp. 821-845). https://doi.org/10.1016/S1574-0080(87).80006-8
Bocarejo, J. P. y Oviedo, D. R. (2012). Transport accessibility and social inequities: A tool for identification of mobility needs and evaluation of transport investments. Journal of Transport Geography, 24, 142-154. https://doi.org/10.1016/j.jtrangeo.2011.12.004
Borrero, O. (Ed.). (2018). Economía urbana y plusvalía del suelo. Bogotá: Bhandar Editores.
Bourassa S. C., Cantoni E. y Hoesli M. (2007). Spatial dependence, housing submarkets, and house price prediction. The Journal of Real Estate Finance and Economics, 35, 143-160. https://doi.org/10.1007/s11146-007-9036-8
Bourassa, S. C., Hoesli, M. y Peng, V. S. (2003). ¿Do housing submarkets really matter? Journal of Housing Economics, 12(1), 12-28. https://doi.org/10.1016/S1051-1377(03)00003-2
Brunsdon, C., Fotheringham, A. S. y Charlton, M. E. (1996). Geographically weighted regression: A method for exploring spatial nonstationarity. Geographical analysis, 28(4), 281-298. https://doi.org/10.1111/j.1538-4632.1996.tb00936.x
Can, A. (1992). Specification and estimation of hedonic house price models. Regional Science and Urban Economics, 22, 453-474. https://doi.org/10.1016/0166-0462(92)90039-4
Cassetti, E. (1972). The expansion method. Geographical Analysis, 4, 432-449.
Cheshire, P. y Sheppard, S. (1995). On the price of land and the value of amenities. Economica, 62, 247-67. https://doi.org/10.2307/2554906
Daniels, C. (1975). The influence of racial segregation on housing prices. Journal of Urban Economics, 2(2), 105-122. https://doi.org/10.1016/0094-1190(75)90042-X
Delmelle, E. C. y Casas, I. (2012). Evaluating the spatial equity of bus rapid transit-based accessibility patterns in a developing country: The case of Cali, Colombia. Transport Policy, 20, 36-46. https://doi.org/10.1016/j.tranpol.2011.12.001
Des Rosiers, F., Thériault, M. y Villeneuve, P. Y. (2000). Sorting out access and neighbourhood factors in hedonic price modelling. Journal of Property Invest-ment & Finance, 18(3), 291-315. https://doi.org/10.1108/14635780010338245
Dowall, D. E. y Treffeisen, P. A. (1991). Spatial transformation in cities of the developing world: Multinucleation and land-capital substitution in Bogota, Colombia. Regional Science and Urban Economics, 21(2), 201-224. https://doi.org/10.1016/0166-0462(91)90034-K
Duque, J., Velásquez, H. y Agudelo, J. (2011). Public infrastructure and housing prices: An application of geographically weighted regression within the context of hedonic prices. Ecos De Economía: A Latin American Journal of Applied Economics, 15(33), 99-122.
Duranton, G. y Puga, D. (2015). Urban land use. En G. Duranton, J. V. Henderson y W. Strange (Eds.), Handbook of regional and urban economics, 5(467-560). North Holland: Elsevier. https://doi.org/10.1016/B978-0-444-59517-1.09998-0
Elhorst, J. P. (2014). Spatial econometrics: From cross-sectional data to spatial panels. Berlin: Springer. https://doi 10.1007/978-3-642-40340-8
Farber, S. y Yeates, M. (2006). A comparison of localized regression models in a hedonic house price context. Canadian Journal of Regional Science, 29(3), 405-420.
Fotheringham, A. S., Brunsdon, C. y Charlton, M. (2000). Quantitative geography: Perspectives on spatial data analysis. Thousand Oaks: Sage.
Fotheringham, A. S., Brunsdon, C. y Charlton, M. (2002). Geographically weighted regression: The analysis of spatially varying relationships. Hoboken: John Wiley y Sons.
Fotheringham, A. S., Charlton, M. E. y Brunsdon, C. (1998). Geographically weighted regression: A natural evolution of the expansion method for spatial data analysis. Environment and planning A, 30(11), 1905-1927. https://doi.org/10.1068/a301905
Fujita, M. (1989). Urban economic theory: Land use and city size. Cambridge, UK: Cambridge University Press.
Giuliano, G., Gordon, P., Pan, Q. y Park, J. (2010). Accessibility and residential land values: Some tests with new measures. Urban Studies, 47(14), 3103-3130. https://doi.org/10.1177/0042098009359949
Halleck, S. y Elhorst, J. P. (2015). The SLX model. Journal of Regional Science, 55(3), 339-363. https://doi.org/10.1111/jors.12188
Hansen, W. G. (1959). How accessibility shapes land use. Journal of the American Institute of planners, 25(2), 73-76. https://doi.org/10.1080/01944365908978307
Hou, Y. (2017). Traffic congestion, accessibility to employment, and housing prices: A study of single-family housing market in Los Angeles County. Urban studies, 54(15), 3423-3445. https://doi.org/10.1177/0042098016675093
Jaramillo, C., Lizárraga, C. y Grindlay, A. L. (2012). Spatial disparity in transport social needs and public transport provision in Santiago de Cali (Colombia). Journal of Transport Geography, 24, 340-357. https://doi.org/10.1016/j.jtrangeo.2012.04.014
Jones, J. y Cassetti, E. (1992). Applications of the expansion method. London: Routledge. https://doi.org/10.4324/9780203405383
Kelejian, H. H. y Prucha, I. R. (1998). A generalized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances. The Journal of Real Estate Finance and Economics, 17(1), 99-121. https://doi.org/10.1023/A:1007707430416
Kiel, K. A. y Zabel, J. E. (1996). House price differentials in US cities: Household and neighborhood racial effects. Journal of Housing Economics, 5(2), 143-165. https://doi.org/10.1006/jhec.1996.0008
Kim, D. y Jin, J. (2019). The effect of land use on housing price and rent: Empirical evidence of job accessibility and mixed land use. Sustainability, 11(3), 938. https://doi.org/10.3390/su11030938
LeSage, J., y Pace, R. K. (2009). Introduction to spatial econometrics. Revue d'économie industrielle, 123(4), 19-44. https://doi.org/10.4000/rei.3887
Lonja de Propiedad Raíz de Cali y el Valle del Cauca (2008). Estudio del valor del suelo urbano en Cali 2008. Santiago de Cali.
Lonja de Propiedad Raíz de Cali y el Valle del Cauca (2010). Estudio del valor del suelo urbano en Cali 2010. Santiago de Cali.
Lonja de Propiedad Raíz de Cali y el Valle del Cauca (2013). Estudio del valor del suelo urbano en Cali 2012. Santiago de Cali.
Manski, C. F. (1993). Identification of endogenous social effects: The reflection problem. The review of economic studies, 60(3), 531-542. https://doi.org/10.2307/2298123
McDonald, J. F. y Bowman, H. W. (1979). Land value functions: A reevaluation. Journal of Urban Economics, 6(1), 25-41. https://doi.org/10.1016/0094-1190(79)90015-9
McDonald, J. F. y McMillen, D. P. (1998). Land values, land use, and the first Chicago zoning ordinance. Journal of real estate finance and economics, 16, 135-150. https://doi.org/10.1023/A:1007751616991
Mills, E. S. (1967). An aggregative model of resource allocation in a metropolitan area. American Economic Review, 57, 197-210.
Munroe, D. K. (2007). Exploring the determinants of spatial pattern in residential land markets: Amenities and disamenities in Charlotte, NC, USA. Environment and Planning B: Planning and Design, 34, 336-354. https://doi.org/10.1068/b32065
Muth, R. F. (1969). Cities and housing. Chicago, IL: University of Chicago Press.
Noland, C. W. (1979). Assessing hedonic indexes for housing. Journal of Financial and Quantitative Analysis, 14(4), 783-800. https://doi.org/10.2307/2330452
Osland, L. y Thorsen, I. (2008). Effects on housing prices of urban attraction and labor-market accessibility. Environment and Planning A, 40(10), 2490-2509. https://doi.org/10.1068/a39305
Páez, A. (2005). Local analysis of spatial relationships: A comparison of GWR and the expansion method. En O. Gervasi, M. Gavrilova, V. Kumar, A. Laganà, H. Lee, Y. Mun y C. Tan (Eds.), International Conference on Computational Science and Its Applications (pp. 162-172). Berlin: Springer. https://doi.org/10.1007/11424857_18
Páez, A., Uchida, T. y Miyamoto, K. (2001). Spatial association and heterogeneity issues in land price models. Urban Studies, 38(9), 1493-1508. https://doi.org/10.1080/00420980126668
Restrepo, Y. y Rodríguez-Mariaca, D. (2018). Accesibilidad diferencial a los centros de empleabilidad en Santiago de Cali: un análisis de movilidad urbana y equidad espacial (tesis de pregrado). Universidad del Valle.
Rodríguez-Mariaca, D., Vivas, H., Pinzón, A. y Jaramillo, C. (2017). Accesibilidad a los centros de empleo en Cali por medio del Sistema Integrado de Transporte Masivo, MIO. El Observador Regional, 34, CIDSE, Universidad del Valle, Cali. https://doi.org/10.13140/RG.2.2.29599.87205
Rosen, S. (1974). Hedonic prices and implicit markets: Product differentiation and pure competition. Journal of Political Economy, 82, 34-55. https://doi.org/10.1086/260169
Scholl, L., Bouillon, C. P., Oviedo, D., Corsetto, L. y Jansson, M. (2016). Urban transport and poverty: Mobility and accessibility effects of IDB-supported BRT systems in Cali and Lima. Inter-American Development Bank.
Steer Davies Gleave y Centro Nacional de Consultoría (2015). Encuesta Movilidad - Hogares Cali 2015. Recuperado de: http://www.metrocali.gov.co/cms/
Thériault, M. y Des Rosiers, F. (Eds). (2011). Modeling urban dynamics: Mobility, accessibility and real estate value. Hoboken: John Wiley y Sons Inc.
Viáfara, L. (2008). Cambio estructural y estratificación social entre grupos raciales en la ciudad de Cali, Colombia. Sociedad y Economía, 15, 103-122.
Vivas, P. (2013). Persistencia de la segregación residencial y composición del capital humano por barrios en la ciudad de Cali. Ensayos sobre política económica, Banco de la República, 31(70), 121-155. https://doi.org/10.1016/S0120-4483(13)70031-9
Waddell, P. (2002). UrbanSim: Modeling urban development for land use, transportation, and environmental planning. Journal of the American plann-ing association, 68(3), 297-314. https://doi.org/10.1080/01944360208976274
White, M. J. (1976). Firm suburbanization and urban subcenters. Journal of Urban Economics, 3(4), 323-343. https://doi.org/10.1016/0094-1190(76)90033-4
Wingo Jr., L. (1961). An economic model of the utilization of urban land. Papers in Regional Science, 7(1), 191-205. https://doi.org/10.1007/BF01969080
Yinger, J. (1992). City and suburb: Urban models with more than one employment center. Journal of Urban Economics, 31(2), 181-205. https://doi.org/10.1016/0094-1190(92)90052-M
Yu, D., Wei, D. y Wu, C. (2007). Modeling spatial dimensions of housing prices in Milwaukee. Environment and Planning B: Planning and Design, 34(6), 1085-1102. https://doi.org/10.1068/b32119
Zabel J. E. (2008). Using hedonic models to measure racial discrimination and prejudice in the U.S. Housing market. En A. Baranzini, J. Ramirez, C. Schaerer, P. Thalmann (Eds.), Hedonic methods in housing markets (pp. 177-201). New York: Springer. https://doi.org/10.1007/978-0-387-76815-1_9
Downloads
Publicado
Edição
Seção
Licença
Os autores dos artigos serão responsáveis dos mesmos e, assim, não comprometam os princípios ou políticas da Universidade Icesi nem do Conselho Editorial da revista Estudios Gerenciales. Os autores autorizam e aceitam a transferência de todos os direitos para a revista Estudios Gerenciales para a publicão impressa ou eletrônica. Após a publicação do artigo, pode ser reproduzido sem a permissão do autor ou da revista, se mencionar o(s) autor(es), o ano, o título, o volume e o número e o intervalo de páginas da publicação, e Estudios Gerenciales como fonte (se abster de utilizar Revista Estudios Gerenciales).
Como Citar
