Relationship between the actual environmental landscape surrounding residents and their willingness to pay for the landscape: Evidence from a discrete choice experiment
This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environ...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shinsuke Kyoi [verfasserIn] Koichi Kuriyama [verfasserIn] Shizuka Hashimoto [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Social Sciences and Humanities Open - Elsevier, 2020, 8(2023), 1, Seite 100531- |
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| Übergeordnetes Werk: |
volume:8 ; year:2023 ; number:1 ; pages:100531- |
| Links: |
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| DOI / URN: |
10.1016/j.ssaho.2023.100531 |
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| Katalog-ID: |
DOAJ089704304 |
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| 520 | |a This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. | ||
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| 650 | 4 | |a Discrete choice experiment | |
| 650 | 4 | |a Willingness to pay | |
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| 653 | 0 | |a History of scholarship and learning. The humanities | |
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10.1016/j.ssaho.2023.100531 doi (DE-627)DOAJ089704304 (DE-599)DOAJ4a0f431e706542789e77cd2cd450f225 DE-627 ger DE-627 rakwb eng AZ20-999 H1-99 Shinsuke Kyoi verfasserin aut Relationship between the actual environmental landscape surrounding residents and their willingness to pay for the landscape: Evidence from a discrete choice experiment 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. Urban landscape Spatial heterogeneous preferences Stated preferences Discrete choice experiment Willingness to pay Mixed logit model History of scholarship and learning. The humanities Social sciences (General) Koichi Kuriyama verfasserin aut Shizuka Hashimoto verfasserin aut In Social Sciences and Humanities Open Elsevier, 2020 8(2023), 1, Seite 100531- (DE-627)1689258748 25902911 nnns volume:8 year:2023 number:1 pages:100531- https://doi.org/10.1016/j.ssaho.2023.100531 kostenfrei https://doaj.org/article/4a0f431e706542789e77cd2cd450f225 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590291123001365 kostenfrei https://doaj.org/toc/2590-2911 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 8 2023 1 100531- |
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10.1016/j.ssaho.2023.100531 doi (DE-627)DOAJ089704304 (DE-599)DOAJ4a0f431e706542789e77cd2cd450f225 DE-627 ger DE-627 rakwb eng AZ20-999 H1-99 Shinsuke Kyoi verfasserin aut Relationship between the actual environmental landscape surrounding residents and their willingness to pay for the landscape: Evidence from a discrete choice experiment 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. Urban landscape Spatial heterogeneous preferences Stated preferences Discrete choice experiment Willingness to pay Mixed logit model History of scholarship and learning. The humanities Social sciences (General) Koichi Kuriyama verfasserin aut Shizuka Hashimoto verfasserin aut In Social Sciences and Humanities Open Elsevier, 2020 8(2023), 1, Seite 100531- (DE-627)1689258748 25902911 nnns volume:8 year:2023 number:1 pages:100531- https://doi.org/10.1016/j.ssaho.2023.100531 kostenfrei https://doaj.org/article/4a0f431e706542789e77cd2cd450f225 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590291123001365 kostenfrei https://doaj.org/toc/2590-2911 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 8 2023 1 100531- |
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10.1016/j.ssaho.2023.100531 doi (DE-627)DOAJ089704304 (DE-599)DOAJ4a0f431e706542789e77cd2cd450f225 DE-627 ger DE-627 rakwb eng AZ20-999 H1-99 Shinsuke Kyoi verfasserin aut Relationship between the actual environmental landscape surrounding residents and their willingness to pay for the landscape: Evidence from a discrete choice experiment 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. Urban landscape Spatial heterogeneous preferences Stated preferences Discrete choice experiment Willingness to pay Mixed logit model History of scholarship and learning. The humanities Social sciences (General) Koichi Kuriyama verfasserin aut Shizuka Hashimoto verfasserin aut In Social Sciences and Humanities Open Elsevier, 2020 8(2023), 1, Seite 100531- (DE-627)1689258748 25902911 nnns volume:8 year:2023 number:1 pages:100531- https://doi.org/10.1016/j.ssaho.2023.100531 kostenfrei https://doaj.org/article/4a0f431e706542789e77cd2cd450f225 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590291123001365 kostenfrei https://doaj.org/toc/2590-2911 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 8 2023 1 100531- |
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10.1016/j.ssaho.2023.100531 doi (DE-627)DOAJ089704304 (DE-599)DOAJ4a0f431e706542789e77cd2cd450f225 DE-627 ger DE-627 rakwb eng AZ20-999 H1-99 Shinsuke Kyoi verfasserin aut Relationship between the actual environmental landscape surrounding residents and their willingness to pay for the landscape: Evidence from a discrete choice experiment 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. Urban landscape Spatial heterogeneous preferences Stated preferences Discrete choice experiment Willingness to pay Mixed logit model History of scholarship and learning. The humanities Social sciences (General) Koichi Kuriyama verfasserin aut Shizuka Hashimoto verfasserin aut In Social Sciences and Humanities Open Elsevier, 2020 8(2023), 1, Seite 100531- (DE-627)1689258748 25902911 nnns volume:8 year:2023 number:1 pages:100531- https://doi.org/10.1016/j.ssaho.2023.100531 kostenfrei https://doaj.org/article/4a0f431e706542789e77cd2cd450f225 kostenfrei http://www.sciencedirect.com/science/article/pii/S2590291123001365 kostenfrei https://doaj.org/toc/2590-2911 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 8 2023 1 100531- |
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relationship between the actual environmental landscape surrounding residents and their willingness to pay for the landscape: evidence from a discrete choice experiment |
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Relationship between the actual environmental landscape surrounding residents and their willingness to pay for the landscape: Evidence from a discrete choice experiment |
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This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. |
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This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. |
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This study investigates the relationship between existing environmental and non-environmental landscapes and residents' preferences for landscapes in their neighborhoods. Investigating this relationship contributes to expanding the knowledge on the spatial heterogeneity in people's environmental preferences. Spatial heterogeneity in people’s environmental preferences is related to the economic evaluation of environmental policies and the efficient provision of environmental amenities. We conducted a discrete choice experiment on 579 residents in Ishikawa Prefecture, Japan. The survey data were combined with geographic information system (GIS) data on land use and analyzed as a spatial structured data of 1 km2 using a mixed logit model. The main empirical finding is that the willingness to pay for a marginal increase in the surrounding landscape generally increases with the abundance of the surrounding landscape. We also found that the increase in the willingness to pay depends on the type of environmental and non-environmental landscape. Moreover, there was no relationship between the existing landscape and the preference for abandoned environmental landscapes. This study highlights the spatial sorting phenomenon in residential choice, which is a source of spatial heterogeneity in environmental preferences. When conducting environmental evaluation, it is necessary to explicitly incorporate the spatial heterogeneity in environmental preferences into any analytical framework. |
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| score |
7.400923 |