Suchergebnisse

AbstractNatural resource dependence, although commonly invoked in natural resource sociology, has often been ambiguously defined. Communities are frequently described as dependent on natural resource development, but limited attention has been paid to what that means. In the literature, resource dependence is often treated as over‐specialization in, or over‐reliance upon, the natural resource sectors. However, the logic of over‐specialization conceptually grounds dependence in poor economic outcomes. Thus, a one‐dimensional typology of dependence based on a threshold of the share of development in the natural resource sector—as commonly used—does not fully capture the concept and risks tautology. In this paper, I address this ambiguity by formally defining natural resource dependence as over‐specialization in the natural resource sectors. I then present an ideal typology, known as the Natural Resource Community Typology, and a corresponding classification scheme for rural communities in the United States. The typology integrates both extractive and non‐extractive natural resource activity and has two dimensions—the level of development and the level of economic prosperity—and six mutually exclusive categories—extractive specialized, extractive dependent, non‐extractive specialized, non‐extractive dependent, hybrid specialized, and hybrid dependent. I classify counties from 2000 to 2015 and find that while extractive dependence decreased over the study period, non‐extractive dependence increased.

AbstractMobile home residence in the United States is associated with negative social, economic, and health‐related outcomes. However, although research on mobile home residence at the individual level has been performed, a geographic understanding of mobile home prevalence in the United States remains absent from the literature. Therefore, the purpose of our analysis was to evaluate the county‐level drivers of mobile home prevalence in the continental United States in 2015. The influence of five groups of variables—demographic, economic, housing, industry and occupation, and natural amenities—were assessed in a series of nested ordinary least squares regressions. Additionally, the full model was run as a spatial lag regression to control for spatial autocorrelation. Our results indicate that the primary drivers of mobile home prevalence in U.S. counties were the percent of population in near poverty, the labour force participation rate, and the percent of the population employed in natural resource occupations.

AbstractUnderstanding rural resident support for various forms of natural resource‐related economic development has been a common research topic in rural sociology. However, the vast majority of research has only evaluated support for one form of natural resource use at a time. The little research that has explored support for a wide variety of uses has found that residents are likely to support many of the suggested forms of development. We assessed rural resident support for seven forms of natural resource development: commercial logging, natural gas, mining, real estate, wind energy, tourism, and outdoor recreation. Using social exchange theory, this study examines the influence of perceived impacts of development, industry trust, and perceived industry power on general support for the seven forms of natural resource‐related economic development using a fixed effects generalized linear model among a sample of residents of rural Pennsylvania communities. Additionally, we use mixed logit discreet choice modeling to evaluate the drivers of relative support, meaning a stated preference for one form of development over other possible options. The drivers of general support and relative support were similar, with trust in industry and impacts to quality of life emerging as the primary drivers of both.

AbstractNatural resource development, both extractive (oil, gas, mining, and timber) and non‐extractive (tourism, real estate, outdoor recreation), has been found to negatively impact economic prosperity in rural America. One mechanism recently proposed for why this occurs is high levels of labor market concentration, or oligopsony. Oligopsony occurs when there are few employers within a labor market and can lead to suppressed wages and a power imbalance between employers and workers. In this paper, we test the moderating effect of labor market concentration on the relationship between natural resource development and per capita income and poverty in rural America from 2010 to 2016. By comparing results between extractive and non‐extractive development, as well as manufacturing, we show that labor market concentration attenuates the beneficial relationship observed at low levels of specialization in natural resources—particularly for extractive forms of development. Further, by finding no significant relationship between manufacturing specialization and economic prosperity, nor any moderating effect of labor market concentration in the case of manufacturing, we demonstrate that natural resource development and labor market concentration have a unique relationship with rural American economic prosperity.

Evidence concerning the link between park access, use, programming and health has continued to grow. However, government funding for parks and recreation is highly susceptible to the ebbs and flows of the national economy. Given this, the purpose of this study was to test the relationship between county area spending on parks and recreation operations and all-cause mortality in the United States from the years 1980–2010. Using data from 1980 to 2010 collected from the U.S. Census Bureau and the Institute for Health Metrics and Evaluation, we analyzed the relationship between per capita county area spending on parks and recreation and county-level all-cause age-standardized female, male, and overall mortality using county and year fixed effects as well as relevant time-variant controls. The study was conducted during 2017 and 2018. County area spending on parks and recreation was negatively associated with overall and female-specific mortality from 1980 to 2010. According to our models for female and overall all-cause age-standardized mortality, when holding all else equal, a hundred-dollar increase in 2010 dollars in per capita parks and recreation operational expenditures was associated with an average decrease in morality of 3.9 and 3.4 deaths per 100,000, respectively. Although not commonly viewed as a form of healthcare spending, increased government funding for parks and recreation services had a significant association with decreased county level mortality. Our results suggest higher levels of per capita spending on parks and recreation may lead to lower levels of mortality.

AbstractIt is well established that living in a high‐poverty area often leads to lower levels of well‐being for residents. While these deleterious effects of place‐based poverty are well‐documented, the conceptual mechanisms linking poverty of place to negative outcomes remain debated, and the our understanding of the spatial patterning of poverty remains underdeveloped. In this paper, we problematize simple conceptualizations of the negative impacts of poverty exposure by illustrating the dynamic patterns poverty displays across cities on a daily basis. The vast majority of prior research on poverty of place has relied upon data anchored to place of residence. Thus, poverty rates broadly reflect poverty as it exists at night. This bias toward nighttime statistics leaves us with an incomplete understanding of spatial inequalities because daytime poverty rates can differ markedly from nighttime poverty rates due to work‐related commuting patterns. Here, we use novel data from the Census Transportation Planning Products to fully illustrate diurnal patterns in poverty at the census tract level in metropolitan America. Through a combination of descriptive, spatial, and statistical analyses, we show that the majority of census tracts experience changes in poverty throughout the day. Through a series of regression models, we also show that diurnal patterns in poverty are unevenly distributed along the lines of suburbanization, race, economic status, age composition, and industrial structure. Overall, our findings provide analytic insights into properly documenting poverty across space, while further problematizing lingering culture of poverty frameworks.

AbstractHigh levels of ethnoracial diversity are a defining demographic characteristic of U.S. metropolitan areas, but the role of diversity in nonmetropolitan areas is often underappreciated. Here, we use Decennial Census data from 2000 to 2020 to evaluate growing ethnoracial diversity in nonmetropolitan counties and to highlight the uneven geographic distribution of diversity, and changes therein, across nonmetropolitan America. We measure levels of diversity using Simpson's Diversity Index and describe underlying changes in ethnoracial composition. We then produce counterfactual estimates to measure how population change among seven ethnoracial groups has contributed to changes in diversity and compare exposure to diversity across geography and ethnoracial groups. We find that ethnoracial diversity in nonmetropolitan counties has grown by nearly thirty percent in the past twenty years but has remained firmly below that of metropolitan counties. Importantly, nonmetropolitan diversity is increasing due to both growing multiracial and Hispanic populations and the decreasing absolute size of White populations. County‐level exposure to diversity among White populations and populations from minoritized ethnoracial groups has also converged substantially. Overall, growing nonmetropolitan diversity is driven by multiple complex sources and is spatially heterogeneous. Understanding these patterns is important given the centrality of ethnoracial change to the nation's demographic future.

AbstractDuring the first year of the COVID‐19 pandemic, federal spending on government safety net programs in the United States increased dramatically. Despite this unparalleled spending, government safety nets were widely critiqued for failing to fully meet many households' needs. Disaster research suggests that informal modes of social support often emerge during times of disruption, such as the first year of the pandemic. However, use of formal government programs and informal support are rarely examined relative to each other, resulting in an incomplete picture of how households navigate disaster impacts and financial shocks. This study compares estimates of informal social support to formal government program use in the rural U.S. West, drawing on data from a rapid response survey fielded during the summer of 2020 and the 2021 Annual Social and Economic Supplement of the Current Population Survey (CPS‐ASEC). We find that informal social support systems were, on aggregate, used almost as extensively as long‐standing government programs. Our findings highlight the critical role of person‐to‐person assistance, such as sharing financial resources, among rural households during a disruptive disaster period. Routine and standardized data collection on these informal support behaviors could improve future disaster research and policy responses, especially among rural populations.