Project MUSE®: Land Economics - Latest Articles
https://muse.jhu.edu/journal/560
Project MUSE®: Latest articles in Land Economics.daily12026-05-13T00:00:00-05:00text/htmlen-USVolume 84 (2008) through current issueLatest Articles: Land EconomicsTWOProject MUSE®Land Economics1543-83250023-7639Latest articles in Land Economics. Feed provided by Project MUSE®Impacts of Large-Scale Solar-Enabling Legislation on Farmland Values
https://muse.jhu.edu/article/988725
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Since about 2015, the rise of solar farms has allowed households and businesses to subscribe to shared solar arrays and receive credits on their electricity bills.1 The rapid expansion of these large-scale community solar projects (CSPs) is largely driven by state legislations designed to facilitate access to solar energy for residents who are unable or do not want to install solar panels (e.g., tenants, homeowner association restrictions).2 Unlike rooftop solar, CSPs require a substantial amount of land, and a large portion of this land will likely be converted from farmland because of its ideal features, namely flat, open terrain with contiguous tracts of land (Hunter et al. 2022).As farmland is increasingly
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallImpacts of Large-Scale Solar-Enabling Legislation on Farmland Values2026-04-30text/htmlen-USImpacts of Large-Scale Solar-Enabling Legislation on Farmland Values2026-04-302026TWOProject MUSE®1286922026-05-13T00:00:00-05:002026-04-30Fires in the Built Environment and Residential Market Demand
https://muse.jhu.edu/article/988726
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Fires in the built environment can affect housing prices through channels of tangible damage and intangible perception of risk. The direct physical damage from fires affects the involved property most significantly, whereas the impact on neighboring properties is generally more limited. Fire stigma, which causes properties near the site of a fire to be perceived as riskier or less appealing to buyers, can have far-reaching consequences on local housing values. While earlier studies have shown that various risk factors, including crime, natural disaster, or unnatural deaths, can negatively impact housing prices (Linden and Rockoff 2008; Pope 2008; Congdon-Hohman 2013), limited evidence exists on how fires in the
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallFires in the Built Environment and Residential Market Demand2026-04-30text/htmlen-USFires in the Built Environment and Residential Market Demand2026-04-302026TWOProject MUSE®691352026-05-13T00:00:00-05:002026-04-30Public Acceptance of Lawncare Policy Instruments to Reduce Nonpoint-Source Pollution
https://muse.jhu.edu/article/988727
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Achieving nutrient reductions to meet water quality objectives via reductions in point-source emissions is costly (Keiser and Shapiro 2018), such that improved management of nonpoint sources is increasingly considered to be a key component of cost-effective strategies to mitigate nutrient emissions (Ribaudo and Gottlieb 2011; Wainger et al. 2013; Fleming, Lichtenberg, and Newburn 2018, 2020; Ribaudo and Shortle 2019). Although these efforts have traditionally emphasized the agricultural sector (e.g., Horan and Shortle 2001; Prokopy et al. 2008, 2019; Baylis et al. 2022), attention is now being paid to other key sources of nonpoint-source nutrient emissions, including fertilizer runoff from residential lawns (Milesi
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallPublic Acceptance of Lawncare Policy Instruments to Reduce Nonpoint-Source Pollution2026-04-30text/htmlen-USPublic Acceptance of Lawncare Policy Instruments to Reduce Nonpoint-Source Pollution2026-04-302026TWOProject MUSE®2590522026-05-13T00:00:00-05:002026-04-30Heat, Climate Control, and Worker Absences: Evidence from India
https://muse.jhu.edu/article/988728
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Most climate models predict an increase in the number of hot days at all land locations in this century (Perkins, Alexander, and Nairn 2012; Sillmann et al. 2013; Seneviratne et al. 2014; Trenberth 2015; Lehner, Deser, and Sanderson 2018), and some studies have found that high temperatures reduce labor supply (Graff Zivin and Neidell 2014; Zander et al. 2015; Heyes and Saberian 2022; Rode et al. 2022; Somanathan et al. 2021; Das and Somanathan 2024). However, evidence in developing countries is limited, and much of it pertains to workers in the less productive informal sector that accounts for a large share of employment. Less is known about the impact of temperature on labor supply in the more productive formal
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallHeat, Climate Control, and Worker Absences: Evidence from India2026-04-30text/htmlen-USHeat, Climate Control, and Worker Absences: Evidence from India2026-04-302026TWOProject MUSE®850102026-05-13T00:00:00-05:002026-04-30A Legacy Through Millennia: Do Informal Institutions Matter for Climate Change?
https://muse.jhu.edu/article/988729
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Climate change, particularly carbon emissions, is one of the most critical challenges for nations globally as they strive to achieve sustainable development (Stern 2007; Rogelj et al. 2016; Nordhaus 2019). Carbon emissions are a primary driver of climate change, contributing to rising temperatures, increased frequency and intensity of natural disasters, extensive ecological degradation, and broader instability within the global socioeconomic landscape (Intergovernmental Panel on Climate Change 2022). The United Nations Development Programme (2020) has incorporated carbon emissions into the Human Development Index, underscoring the importance of this issue. In addition, the International Energy Agency (2021)
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallA Legacy Through Millennia: Do Informal Institutions Matter for Climate Change?2026-04-30text/htmlen-USA Legacy Through Millennia: Do Informal Institutions Matter for Climate Change?2026-04-302026TWOProject MUSE®1777992026-05-13T00:00:00-05:002026-04-30Assessing the Effects of Deterrence Mechanisms on Deforestation in the Brazilian Savanna
https://muse.jhu.edu/article/988730
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Forest clearance for agricultural expansion is considered the primary force behind deforestation in Brazil (Diniz et al. 2009; Rivero et al. 2009; Hargrave and Kis-Katos 2013; Assunção, Gandour, and Rocha 2015). Some studies concerned with deforestation patterns highlight how the relationship between agriculture and forest cover may be shaped by macroeconomic factors, such as population, economic growth, infrastructure (Andersen 1996; Pfaff 1999), or the role of commodity prices and exchange rate fluctuations (Diniz et al. 2009; Rivero et al. 2009). Others concentrate on the effects of socioeconomic factors, such as education, income disparity, and labor market structure (Pichón 1997; Godoy, Groff, and O'Neill
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallAssessing the Effects of Deterrence Mechanisms on Deforestation in the Brazilian Savanna2026-04-30text/htmlen-USAssessing the Effects of Deterrence Mechanisms on Deforestation in the Brazilian Savanna2026-04-302026TWOProject MUSE®1433252026-05-13T00:00:00-05:002026-04-30High-Quality Farm and Poverty Alleviation: Evidence from Rural China
https://muse.jhu.edu/article/988731
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Understanding how to achieve productivity growth in agriculture is central to economic development and structural transformation. The aggregate income gap between low- and high-income countries can largely be attributed to differences in agricultural productivity (Gollin, Parente, and Rogerson 2002; Restuccia, Yang, and Zhu 2008). Yet increasing productivity in developing countries faces persistent challenges, including inadequate infrastructure (Gollin and Rogerson 2014), low adoption of modern technologies (Emerick et al. 2016), and limited intermediate inputs (Duflo, Kremer, and Robinson 2011; Donovan 2021).To address these barriers, governments have prioritized policies that promote technology adoption and
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallHigh-Quality Farm and Poverty Alleviation: Evidence from Rural China2026-04-30text/htmlen-USHigh-Quality Farm and Poverty Alleviation: Evidence from Rural China2026-04-302026TWOProject MUSE®1388792026-05-13T00:00:00-05:002026-04-30Economic Benefits of Nature-Based Solutions for Climate Risk: A Meta-Analysis
https://muse.jhu.edu/article/988732
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The increasing frequency and severity of climate risk events highlights the need for investment in climate change mitigation and adaptation (IPCC 2021). At current trends, the number of climate-related disasters per year will increase from 400 in 2015 to approximately 560 by 2030.1 If appropriate risk mitigation measures are not adopted in advance, floods, heat waves, wildfires, and comparably extreme events will devastate local communities. Global economic losses stemming from natural hazards have reached an annual estimate of US$150–$200 billion in recent years, compared with US$50 billion in 1980 (Munich Re 2022). Nature-based solutions (NBSs) are effective ways to reduce related risk, stemming economic losses
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallEconomic Benefits of Nature-Based Solutions for Climate Risk: A Meta-Analysis2026-04-30text/htmlen-USEconomic Benefits of Nature-Based Solutions for Climate Risk: A Meta-Analysis2026-04-302026TWOProject MUSE®1348712026-05-13T00:00:00-05:002026-04-30Editor's Note
https://muse.jhu.edu/article/988733
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In addition to the editorial board, we would like to thank the following individuals who graciously reviewed manuscripts submitted to Land Economics in 2025:Nino AbashidzeWiktor L. AdamowiczMark AgertonJen Alix-GarciaLevi AltringerAndrew AyresKenneth BagstadNicholas BannonSpencer BanzhafPatrick BaylisAllan BeltránDaniel P. BigelowTobias BörgerJulia BronnmannAlecia CassidyCristina ConnollyMarc N. ConteJingyuan CuiXiaomeng CuiMoritz DruppAnders DugstadSteven J. DundasMichela FaccioliMingxuan FanChad FiechterEyal FrankDustin FryeVasundhara GaurJacob GellmanKlaus GlenkMarvin GleueSathya GopalakrishnanRobert GriffinTodd GuilfoosYukiko HashidaHannah HennighausenGregory E. HowardSiyuan HuKaixing HuangNicolas
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Project MUSE®https://muse.jhu.edu/2026-05-13T00:00:00-05:00https://muse.jhu.edu/journal/560/image/coversmallEditor's Note2026-04-30text/htmlen-USEditor's Note2026-04-302026TWOProject MUSE®64702026-05-13T00:00:00-05:002026-04-30