Show simple item record

dc.contributor.authorSaptutyningsih, Endah
dc.date.accessioned2013-09-25T04:44:01Z
dc.date.available2013-09-25T04:44:01Z
dc.date.issued2013-06
dc.identifier.citationBajari, P and CL Benkard. 2005. “Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach”. Journal of Political Economy, 113(6), 1239-1276. Bhattacharya, Rabindra, N. 2002. Environmental Economics: An Indian Perspective. New Delhi: Oxford University Press. Boyle, M. and K. Kiel. 2001. “A Survey of House Price Hedonic Studies of the Impact of Environmental Externalities”. Journal of Real Estate Literature. Vol. 9, No 2, pp. 117144. Briggs, D.J.; de Hoogh, C.; Gulliver, J.; Wills, J.; Elliott, P.; Kingham, S.; Smallbone, K. 2000. “A Regression based Method for Mapping Traffic-related Air Pollution: Application and Testing in Four Contrasting Urban Environments.” Sci Total Environ 253(1-3): 151-167. Cicero-Fernandez, P.; Torres, V.; Rosales, A.; Cesar, H.; Dorland, K.; Munoz, R.; Uribe, R.; Martinez, A.P. 2001. “Evaluation of Human Exposure to Ambient PM10 in the Metropolitan area of Mexico City using a GISbased Methodology”. J Air Waste Manag Assoc 51: 1586-1593. Civis, S, Z. Zelinger, M. Strizik, Z. Janour. 2001. “Simulation of Air Pollution in a Wind Tunnel”. In: Spectroscopy from Space. (Demaison, J., Ed.), Kluwer Academic, Dordrecht, 275-299. Cowell PJ and Zeng TQ. 2003. “Integrating Uncertainty Theories with GIS for Modeling Coastal Hazards of Climate Change.” Marine Geodesy, 26, 5-18. Gualtieri G., & Tartaglia M. 1998. Predicting Urban Traffic Air Pollution: a GIS framework, Transportation Research - D, 3(5), pp. 329-336, Elsevier Science. Hoek, G.; Fischer, P.; Van Den Brandt, P.; Goldbohm, S.; Brunekreef, B. 2001. “Estimation of Long-term Average Exposure to Outdoor Air Pollution for a cohort study on mortality.” J Expo Anal Environ Epidemiol 11(6): 459-469. Holgate. 2002. Air Pollution and Health. Lancet, 360: 1233-1242. Janour, Z., Z. Zelinger, S. Civis. 1999. “Laser Photoacoustic Spectrometry and its Application for Simulation of Air Pollution in a wind tunnel”. Analyst, 124, 1205-1208. Jones C B, Kidner D B, Luo L Q, Bundy Gl And Ware J M.. 1996. Database design for a Multi-scale Spatial Information System. Int. Journal of GIS, 10(8), pp.901-920. Lave, L.B. and Seskin, E.P., 1972. “Air pollution, climate, and home heating: their effects on US mortality rates”. Am J Public Health 62 7, pp. 909–916 Longley, P.A., M.F. Goodchild, D.J. Maguire, D.W. Rhind. 2001. “Geographic Information Systems and Science.” John Wiley & Sons, 27- 58, New York. Moaz, Alsherfawi Aljazaerli. 2005. “Hedonic Valuation of Marginal Willingness to Pay for Air Quality in Metropolitan Damascus.” Forum of International Development Studies, 3 September 2005. Murty, M., S. Gulati and A. Banerjee. 2003. Hedonic Property Prices and Valuation of Benefits from Reducin Urban Air Pollu-ti G 2 Ozkayn c a P 4 P.K.Ba P V A A S Rashed r t g p B ion in Ind Growth, Del 27. nak, H. and ciations betw and Alterna Particle Conc 449–461. b y. 2003. Pollution on Values: A S Agglomerati Applied Econ Science and T d, T. M. G. E ronmental C o Urban Ea grative Rem proach”. Un Barbara, PhD dia. Institu hi Universi t d Thurston, G ween 1980 U ative Measu centration”. “Economic Human He Study of C on”. Thesis. nomics, Coc Technology. E. 2003. “Me ontext of So arthquake H mote Sensin niversity of D Thesis.Woo te of Econ ty Enclave, p G.D. 1987. “ US Mortality ures of Air Risk Anal 7 Impacts o alth and Pro Cochin Indu . Departme chin Univers India. easuring the ocial Vulnera Hazards: An ng and GIS California, od, nomic pp. 1- “Assoy rates rborne 4, pp. of Air operty ustrial ent of sity of Enviability n InteS Ap- Santa R o Sh Ve W APPEND ality in the P osen, Sherw Implicit in Pure C cal Econ Feb.,1974 h. Rahmatiza Routing NatureI Journal o DOI. erstappen. 1 veys for vier, Sci . WHO. 2002. Factor, L Annex T 2002. Ge DIX Province of D win. 1974. “ Markets: P Competition nomy, Vol. 4), pp. 34-55 adeh., et. al Algorithm: Inspired R of Applied S 983. Applied Environmen ., Publ, Com “Attributab Level of De Table 9 in Th eneva. Daerah Istim “Hedonic P roduct Diffe n”. The Journ 82, No. 1 5. l. 2009. “Th A New Ag Routing A Sciences 9(5) d Geomorphol ntal Developm mp. Amsterda ble Mortality evelopment he World hea mewa Yogyak Prices and erentiation al of Politi1. (Jan. - he Ant-Bee gent Based lgorithm”, : 983 - 987. logical Surment. Elseam. y by Risk and Sex”. alth Report,2002. Ge eneva.en_US
dc.identifier.issn1411-6081
dc.identifier.urihttp://hdl.handle.net/11617/3481
dc.description.abstractTujuan utama studi ini menghitung harga implisit dari tingkat kualitas lingkungan udara di Yogyakarta dengan berbasis pada harga properti perumahan. Dengan menggunakan sistem informasi geografis, harga properti perumahan dicirikan dengan daerah yang memiliki tingkat polusi udara tertinggi di provinsi Yogyakarta. Karbon monoksida digunakan sebagai variabel polusi. Kerangka metodologis untuk estimasi didasarkan pada model harga hedonis. Pendekatan ini menetapkan hubungan antara harga barang yang dipasarkan (misalnya perumahan) dan fasilitas dan karakteristik barang. Oleh karena itu, jika terjadi variasi dalam tingkat polusi udara, maka rumah tangga akan mengubah perilaku mereka secara ekonomi dengan menawarkan lebih banyak uang untuk perumahan terletak di daerah lingkungan yang baik. Hasil regresi hedonis menunjukkan bahwa penurunan harga perumahan akan menaikkan tingkat pencemaran udara seperti misalnya karbon monoksida.en_US
dc.publisherlppmumsen_US
dc.subjectpolusi udaraen_US
dc.subjectharga hedonisen_US
dc.subjectnilai propertien_US
dc.subjectkurva kesediaan marjinal membayaren_US
dc.titleIMPACT OF AIR POLLUTION ON PROPERTY VALUES : A HEDONIC PRICE STUDYen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record