Factors influencing zoning ordinance adoption in rural and exurban townships

Locke, Christina; Rissman, Adena R.

doi:10.1016/j.landurbplan.2014.10.002

Cited by 19 publications

(10 citation statements)

References 61 publications

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“…Political affiliation and income do correspond with adoption of land use regulations in the neighboring state of Michigan (Locke and Rissman, 2015). Clearly the human context of conservation influences the feasibility of land protection and other conservation actions identified in plans Knight et al, 2008Knight et al, , 2011a, but our findings suggest that successful plan implementation via land protection is possible under a wide range of political and socio-economic settings at the local level.…”

Section: Identifying Factors Explaining Plan Implementationmentioning

confidence: 68%

An evaluation of environmental, institutional and socio-economic factors explaining successful conservation plan implementation in the north-central United States

Carter

Januchowski‐Hartley

Pohlman

et al. 2015

Biological Conservation

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Section: Identifying Factors Explaining Plan Implementationmentioning

confidence: 68%

An evaluation of environmental, institutional and socio-economic factors explaining successful conservation plan implementation in the north-central United States

Carter

Januchowski‐Hartley

Pohlman

et al. 2015

Biological Conservation

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“…Planners. This is in line with previous research that found that population was a predictor for number of policies adopted (Hawkins, 2014;and Locke and Rissman, 2015;Meltzer and Schuetz, 2010).…”

Section: Social Characteristicssupporting

confidence: 93%

“…Policy adoption models are often crafted around a variety of internal and external factors (Berry and Berry, 2014). Internal factors include the economic, social and political context; whereas external factors capture the influence other levels of government and surrounding jurisdictions may play in policy adoption (Berry and Berry, 2014;Locke and Rissman, 2015). I look at the group influences mentioned above that may influence ordinance adoption in addition to an analysis of the internal social, economic, and governmental characteristics that may lead to the adoption of urban agriculture ordinances.…”

Section: Policy Adoption Frameworkmentioning

confidence: 99%

“…In terms of policies geared toward land use, Hawkins (2014) and Locke and Rissman (2015) found that municipalities with growing population had a greater desire for growth controls and…”

Section: Social Characteristicsmentioning

confidence: 99%

“…Another way to measure expertise and capacity for adoption would be to measure the administrative capacity of a municipality. Many studies have shown the importance of administrative capacity to the likelihood of policy adoption (Burby and May, 1998;Feiock and West, 1993;Hawkins, 2014;Locke and Rissman, 2015); these studies show that a strong staff is needed to increase the capability of a city to draft and enforce policy.…”

Section: Governmental Characteristicsmentioning

confidence: 99%

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Understanding competing motivations for urban agriculture: an analysis of U.S. municipal ordinance adoption

Vaage

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Municipalities are increasingly responding to zoning regulations that act as a barrier to the practice of urban agriculture activities. While there has been some case-study research on municipalities engaging in large urban agriculture policy efforts, a framework for analyzing urban agriculture ordinances on a national scale has not yet been established. This research is an exploratory analysis of the motivations for urban agriculture ordinance adoption utilizing a theoretical framework of neoliberalism to understand the potential for urban agriculture to be used either as a tool to reinforce or alter neoliberal structures. Responses from 34 municipalities throughout the United States that participated in a survey on urban agriculture ordinance adoption were utilized to construct a cluster analysis of cities based on levels of ordinance adoption and motivations for adoption. A multivariate analysis of variance (MANOVA) analysis was used to determine differences between clusters on selected socioeconomic variables. The cluster analysis resulted in four clusters. Two clusters were low or average on both motivation and adoption variables. Two clusters had higher scores on either motivation or adoption variables, but differed in types of ordinances adopted and major motivations for adoption. Economic motivations were linked with adoption of commercial urban agriculture ordinances. Cultural and health motivations were linked with noncommercial, retail, and animal urban agriculture ordinances. Clusters with low engagement involved mostly government agencies in drafting ordinances, whereas more engaged clusters relied on government agencies and a variety of community groups in initial stages of ordinance adoption. The clusters that were least engaged in urban agriculture primarily had a Council-vii Manager form of government, compared to the higher engaged clusters with a Mayor-Council form of governmen 1 CHAPTER I.

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