The Effect of a Large Hog Barn Operation on Residential Sales Prices in Marshall County, KY

Simons, Robert A.; Seo, Youngme; Robinson, Spenser

doi:10.1080/10835547.2014.12091858

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…Our results are generally consistent with those of research work on incinerators and waste facilities in the United States, including Kiel and McLain (1995a) and Eshet et al (2005). The magnitude of loss (in excess of 20% within a mile) is also consistent with work by Simons et al (2014) on hog farm odors in CAFO in Kentucky, US.…”

Section: Conclusion and Discussionsupporting

confidence: 89%

“…If the wind is blowing towards an urban area from an industrial area, then pollution levels are likely to be higher in the town or city than if the air is blowing from another direction. In the related literature on the effect of air pollution from CAFOs on housing price, Isakson and Ecker (2008) and Simons et al (2014) all find substantial price reductions in terms of the wind direction, while other and closer-in areas have more limited price reductions. In a study by Kiel (1995), the effect of incinerators on housing price is also affected by wind direction, but the results are inconclusive.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…For instance, Simons et al (2014) examine the economic impact of a tightly clustered complex of hog barns, which is a type of concentrated animal feeding operation (CAFO), on residential property in a rural area near Benton, Kentucky.…”

Section: Incinerators and Air Pollution Studiesmentioning

confidence: 99%

“…Hedonic price modeling is the standard approach for estimating the effects of negative externalities on residential property value, and the dependent variable is typically transaction price. Our analysis of residential property sales uses standard hedonic regression techniques (see Rosen 1974;Simons et al 2014;. The dependent variable is the natural log of the original housing listed prices, and the independent variables include a number of housing-related control variables.…”

Section: Residential Transaction Data Set and Modelsmentioning

confidence: 99%

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International Real Estate Review

Zhao¹,

Simons²,

Fen³

2016

IRER

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Incineration plants and derelict industrial sites can have a number of adverse effects on the local environment and social welfare, including the diminution of property values. Although there are many incineration plants in China, there has been relatively little research done to quantify their negative externality effects. This study therefore considers the effects of three municipal incineration plants in Hangzhou city on residential property values. Hedonic pricing modeling of 2,200 residential transactions in over 70 multifamily buildings within ten kilometers of the incineration plants over a one year period including 2014 and 2015 is carried out. Generally, the results show that the neighboring properties show decreases in the initial listing price of up to 25%, declining until the effect is gone about three kilometers from the incinerator. The most consistent losses are approximately 10% between 1-2 kilometers from the nearest incinerator. These results are comparable to similar situations in the United States and Canada.

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Section: Conclusion and Discussionsupporting

confidence: 89%

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Incinerators and Air Pollution Studiesmentioning

confidence: 99%

Section: Residential Transaction Data Set and Modelsmentioning

confidence: 99%

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International Real Estate Review

Zhao¹,

Simons²,

Fen³

2016

IRER

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“…Cost of services analyzes compare the cost of public services with tax revenues, repeatedly finding that rural communities generate more in revenues than they consume (Kotchen and Schulte 2009). Of course, not all types of farming operations produce such positive spillover effects on the environment, housing markets or tax bases, such as animal agriculture (Simons, Seo and Robinson 2014). The spillover effects of urban farms are similar.…”

Section: Interconnected Few Systems: Co-benefits and Tradeoffsmentioning

confidence: 99%

Planning for FEWsheds: The Role of Planning in Integrating and Strengthening Food, Energy and Water Systems

Brinkley

Raj

Raja

2022

Journal of Planning Literature

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As climate change and increased frequency of extreme weather events threaten local and national Food, Energy and Waters (FEW) systems, policymakers and planners are asked to secure the long-term sustainability of resources and address disaster management where failure in one system has cascading effects. The explicit acknowledgment of interdependencies and equity across FEW systems and scales of governance is an approach we term planning for “FEWsheds.” With this research, we build an integrated framework for understanding FEW supply, equity outcomes, available data, and efforts to make FEW systems more resilient through diversification, distributed systems, or relocalization. The literature review demonstrates common flaws in both research design and policy approaches. For example, few studies explicitly address demographic characteristics. Higher-income households use more water, energy and land; are less responsive to price signaling; and often do not bear the negative externalities of infrastructure siting compared to low-income families, who are, in turn, the most vulnerable to supply disruption and contamination. A FEWshed framework helps make apparent the regional interdependencies, inefficiencies and disparities so that policymakers can take corrective action in fostering just, vibrant and sustainable communities for all constituents.

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