FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4284960147> ?p ?o ?g. }

• W4284960147 endingPage "167" @default.
• W4284960147 startingPage "144" @default.
• W4284960147 abstract "Purpose This paper aims to quantify the impact of environmental contamination on farmland valuation. It applies data fusion and hedonic pricing approaches to quantify the contribution of nitrogen and phosphorus loading on farmland sales transactions. It further suggests approaches to improve internalization of environmental cost in valuation approaches using shadow pricing. The work informs the field of environmental, social and governance (ESG) investing by fusing environmental data with financial transactions. Design/methodology/approach This paper is an empirical study implementing hedonic pricing of farmland in the Lake Huron major drainage area. Data sources and fusion were derived from AcreValue, the United States Department of Agriculture's Gridded Soil Survey Geographic database (gSSURGO) and the United States Geological Survey's Spatially Referenced Regression on Watershed Attributes database (SPARROW). Findings The results suggest that environmental contamination has statistically significant positive determination power on farmland prices such that prices increase with contamination. Conventional metrics such as percentage of cultivated land in the parcel, root zone depth, whether the parcel is designated by the Natural Resource Conservation Service as prime farmland, and the size of the farmland parcel contribution to farmland value as well. The results indicate that environmental impacts are not accurately accounted for in farmland transactions. Research limitations/implications This paper points to inaccurate valuation of environmental contamination in farmland value. While geocoding allowed for positioning of farmland sales transactions relative to modeled areas of contaminant loading in the Lake Huron drainage area, the interpretation indicates that value is driven by cultivation. Hence, generalization to other areas needs a cautious approach. Empirical testing across locations and drainage areas with diverse farmland features will serve to verify the modeled data used in this study. Practical implications The lack of integration of externalities in land valuation has implications on lending and disclosure practices, as financial service providers increasingly seek to account for ESG risk on their loan books and broader investment portfolios. The impact of farmland accounting practices for contamination such as shadow pricing may impact land valuation based on future cash flows, and may serve to inform sustainability-linked lending practices to farm operations. Originality/value This is the first paper to fuse data from AcreValue, gSSURGO and SPARROW to discover the explanatory power of nutrient contamination in farmland value in the Lake Huron major drainage area." @default.
• W4284960147 created "2022-07-10" @default.
• W4284960147 creator A5037177132 @default.
• W4284960147 creator A5073584401 @default.
• W4284960147 date "2022-07-12" @default.
• W4284960147 modified "2023-09-30" @default.
• W4284960147 title "Financial exposure to environmental liabilities in Lake Huron drainage area farmlands: a GIS and hedonic pricing approach" @default.
• W4284960147 cites W1482867610 @default.
• W4284960147 cites W1546595946 @default.
• W4284960147 cites W1587088019 @default.
• W4284960147 cites W1842919129 @default.
• W4284960147 cites W1964328796 @default.
• W4284960147 cites W1978424046 @default.
• W4284960147 cites W1984744262 @default.
• W4284960147 cites W1991499473 @default.
• W4284960147 cites W2038859578 @default.
• W4284960147 cites W2051688880 @default.
• W4284960147 cites W2060879824 @default.
• W4284960147 cites W2061702690 @default.
• W4284960147 cites W2066613769 @default.
• W4284960147 cites W2066895923 @default.
• W4284960147 cites W2075449096 @default.
• W4284960147 cites W2084809982 @default.
• W4284960147 cites W2089337748 @default.
• W4284960147 cites W2094240776 @default.
• W4284960147 cites W2098475552 @default.
• W4284960147 cites W2107294345 @default.
• W4284960147 cites W2111801605 @default.
• W4284960147 cites W2124301559 @default.
• W4284960147 cites W2138384227 @default.
• W4284960147 cites W2149904718 @default.
• W4284960147 cites W2151843738 @default.
• W4284960147 cites W2164536375 @default.
• W4284960147 cites W2279820786 @default.
• W4284960147 cites W2471447493 @default.
• W4284960147 cites W2491382239 @default.
• W4284960147 cites W2553813205 @default.
• W4284960147 cites W2558456589 @default.
• W4284960147 cites W2560595205 @default.
• W4284960147 cites W2586274245 @default.
• W4284960147 cites W2605145196 @default.
• W4284960147 cites W2789860744 @default.
• W4284960147 cites W2801464589 @default.
• W4284960147 cites W2889804329 @default.
• W4284960147 cites W2972008163 @default.
• W4284960147 cites W2990262087 @default.
• W4284960147 cites W3009556391 @default.
• W4284960147 cites W3128151099 @default.
• W4284960147 cites W3169263040 @default.
• W4284960147 cites W4250146769 @default.
• W4284960147 cites W71198325 @default.
• W4284960147 doi "https://doi.org/10.1108/afr-02-2022-0025" @default.
• W4284960147 hasPublicationYear "2022" @default.
• W4284960147 type Work @default.
• W4284960147 citedByCount "1" @default.
• W4284960147 countsByYear W42849601472023 @default.
• W4284960147 crossrefType "journal-article" @default.
• W4284960147 hasAuthorship W4284960147A5037177132 @default.
• W4284960147 hasAuthorship W4284960147A5073584401 @default.
• W4284960147 hasConcept C10138342 @default.
• W4284960147 hasConcept C107826830 @default.
• W4284960147 hasConcept C110872660 @default.
• W4284960147 hasConcept C118518473 @default.
• W4284960147 hasConcept C144133560 @default.
• W4284960147 hasConcept C166957645 @default.
• W4284960147 hasConcept C186027771 @default.
• W4284960147 hasConcept C18903297 @default.
• W4284960147 hasConcept C205649164 @default.
• W4284960147 hasConcept C39432304 @default.
• W4284960147 hasConcept C502990516 @default.
• W4284960147 hasConcept C58941895 @default.
• W4284960147 hasConcept C86803240 @default.
• W4284960147 hasConceptScore W4284960147C10138342 @default.
• W4284960147 hasConceptScore W4284960147C107826830 @default.
• W4284960147 hasConceptScore W4284960147C110872660 @default.
• W4284960147 hasConceptScore W4284960147C118518473 @default.
• W4284960147 hasConceptScore W4284960147C144133560 @default.
• W4284960147 hasConceptScore W4284960147C166957645 @default.
• W4284960147 hasConceptScore W4284960147C186027771 @default.
• W4284960147 hasConceptScore W4284960147C18903297 @default.
• W4284960147 hasConceptScore W4284960147C205649164 @default.
• W4284960147 hasConceptScore W4284960147C39432304 @default.
• W4284960147 hasConceptScore W4284960147C502990516 @default.
• W4284960147 hasConceptScore W4284960147C58941895 @default.
• W4284960147 hasConceptScore W4284960147C86803240 @default.
• W4284960147 hasIssue "1" @default.
• W4284960147 hasLocation W42849601471 @default.
• W4284960147 hasOpenAccess W4284960147 @default.
• W4284960147 hasPrimaryLocation W42849601471 @default.
• W4284960147 hasRelatedWork W2076889969 @default.
• W4284960147 hasRelatedWork W2079466793 @default.
• W4284960147 hasRelatedWork W2351578910 @default.
• W4284960147 hasRelatedWork W2392201207 @default.
• W4284960147 hasRelatedWork W2392249818 @default.
• W4284960147 hasRelatedWork W3016139212 @default.
• W4284960147 hasRelatedWork W3210370850 @default.
• W4284960147 hasRelatedWork W4236699607 @default.
• W4284960147 hasRelatedWork W605213188 @default.

• next