The Shale Boom and Family Structure: Oil and Gas Employment Growth Relationship to Marriage,Divorce, and Cohabitation

Shale oil and gas extraction technology has caused a large shift in the United States' energy landscape over the last decade. This had a wide range of impacts on rural communities mostly in which oil and gas extraction occurs. While many studies have focused on the economic and environmental impact of shale development, researchers have only begun to study the social changes brought on by the shale resource extraction. We examine the influence of shale oil and gas employment as a share of overall county employment on county marriage, divorce, and cohabitation rates. We find evidence that oil and gas employment growth is associated with decreased marriage rates and increased divorce rates from 2009 to 2014. We test several channels through which oil and gas development may influence marriage behaviors and find that changes in female labor force participation, county sex ratios, and median household incomes are associated with oil and gas development. We also test for differences across the rural/urban continuum and find that our results are largely driven by nonmetro counties.     

Local Economic Development in an Age of Devolution: The Question of Rural Localities*

Abstract There is limited recent research on the strategies that rural local governments are employing in the face of changing intergovernmental relationships, especially in relation to local economic development. This paper draws on data from a survey of local governments in the Ohio River Valley Region that includes a mix of localities on the urban‐rural continuum, to empirically address three issues. First, we examined the extent to which county governments have undertaken local economic development initiatives as well as other, extra‐economic activities designed to improve community well‐being. Second, we assessed the extent to which rural county governments vary from urban counties in their activities and available resources. Finally, we employed logistic regression models of factors associated with use of development strategies to determine the relationship between rurality and local development policy activities. The results show that rural counties are less likely than urban counties to undertake various economic development activities, with observed urban‐rural differences largely attributable to county socioeconomic disadvantages, such as poverty and education.     

The Relationship between Marcellus Shale Gas Development in Pennsylvania and Local Perceptions of Risk and Opportunity

Recent advances in gas and oil drilling technology have led to dramatic boomtown development in many rural areas that have endured extended periods of economic decline. In Pennsylvania's Marcellus gas fields, the recent development of unconventional shale gas resources has not been without controversy. It has been variously framed as a major opportunity for economic revitalization at the local and regional levels and energy independence at the national level, but also as a significant environmental risk, with uncertain and uneven economic benefits. We use data from a survey conducted in 309 school districts located within Pennsylvania's Marcellus Shale region to study the ways local stakeholders perceive both risk and opportunity associated with gas extraction from Marcellus Shale. Our analyses indicate that there is a strong positive association between perceptions of risk and opportunity associated with gas extraction. Further, the intensity of perception of both risk and opportunity is directly associated with the amount of local drilling, suggesting the complexity of local contexts within which local stakeholders evaluate rapid boomtown‐associated community change. In total, these findings complicate the framing of unconventional gas extraction in the Marcellus Shale region, and indeed boomtown growth overall, as fundamentally polarizing issues.     

The Coal‐Corn Divide: Colliding Treadmills in Rural Community Energy Development

The emergence of concerns about “peak oil,” the fallout from the Iraq War in terms of renewed calls for “energy security,” and the development of new technology to gain access to fossil fuels and gas long off‐limits because of economic and environmental concerns has led to a boom of multiple kinds of energy development in and around rural communities in the United States. This article uses the lens of treadmill‐of‐production and growth‐machine literature to understand these developments in south central Illinois, an area with rich farmland and a history of underground coal extraction. While this analysis finds the expected support from community elites for renewed coal extraction, despite health and environmental risks, we find that the farm community, concerned about damage to land critical for producing corn and beans, profitable at historical levels in part because of the biofuel boom, formed a strong opposition movement. In short, we find evidence of colliding treadmills of energy production. The findings have implications for the analysis of rural energy production in the United States and beyond.     

Emerging Patterns of Hispanic Residential Segregation: Lessons from Rural and Small‐Town America

The past two decades have ushered in a period of widespread spatial diffusion of Hispanics well beyond traditional metropolitan gateways. This article examines emerging patterns of racial and ethnic residential segregation in new Hispanic destinations over the 1990–2010 period, linking county, place, and block data from the 1990, 2000, and 2010 decennial censuses. Our multiscalar analyses of segregation are framed by classical models of immigrant assimilation and alternative models of place stratification. We ask whether Hispanics are integrating spatially with the native population and whether recent demographic and economic processes have eroded or perpetuated racial boundaries in nonmetropolitan areas. We show that Hispanic residential segregation from whites is often exceptionally high and declining slowly in rural counties and communities. New Hispanic destinations, on average, have higher Hispanic segregation levels than established gateway communities. The results also highlight microscale segregation patterns within rural places and in the open countryside (i.e., outside places), a result that is consistent with emerging patterns of “white flight.” Observed estimates of Hispanic‐white segregation across fast‐growing nonmetropolitan counties often hide substantial heterogeneity in residential segregation. Divergent patterns of rural segregation reflect local‐area differences in population dynamics, economic inequality, and the county employment base (using Economic Research Service functional specialization codes). Illustrative maps of Hispanic boom counties highlight spatially uneven patterns of racial diversity. They also provide an empirical basis for our multivariate analyses, which show that divergent patterns of local‐area segregation often reflect spatial variation in employment across different industrial sectors.     

Busted amidst the Boom: The Creation of New Insecurities and Inequalities within Pennsylvania's Shale Gas Boomtowns

In the middle of the first decade of this century new technological innovations enabled the extraction of natural gas through the use of hydraulic fracturing within gas‐bearing shale and other unconventional energy reserves. As a consequence, many places, often in economically lagging rural areas, saw dramatic change as they were socially and economically transformed through rapid natural resource development. Although scholarship on so‐called boomtown development has long explored social disruption associated with the sudden influx of workers and rapid economic development, this literature has tended to overlook the ways in which such development can create new poverty in the very midst of economic expansion. This article, through an examination of key informant interviews with low‐income residents and human service providers within Pennsylvania's Marcellus Shale region, discusses the contradictory processes by which new insecurity and social exclusions may be created precisely as a consequence of economic expansion associated with rapid natural resource development.     

The Influence of Value Orientations,Personal Beliefs,and Knowledge about Resource Extraction on Local Leaders' Positions on Shale Development

Unconventional shale oil and gas production plays a prominent role in boosting economic growth and stimulating wealth creation in many communities. However, because of potential social and environmental drawbacks, including a lack of affordable housing and groundwater contamination from drilling, unconventional shale development is highly contentious in many areas and has resulted in many community conflicts. Hydraulic fracturing, which is a specific technology utilized in unconventional shale development, has proved especially contentious because of concerns about its long‐term environmental consequences. Given the fast pace of shale development, coupled with the controversy that surrounds it, we seek to understand what factors affect a local government official's stance on shale development and hydraulic fracturing. To do this we draw from value‐belief‐norms theory while additionally examining knowledge and community‐level factors that can influence an official's position. In this study, we survey 308 local government officials across six shale plays in the United States to examine local officials' positions on shale development and hydraulic fracturing. We find that the more positively officials perceive the consequences of shale development, the less likely they are to support banning hydraulic fracturing. Additionally, we find that networks to other shale communities are positively associated with favoring a ban. Further, leaders with a bachelor's degree or higher are more likely to favor a ban than those with lower than a bachelor's degree.     

Social Capital and Human Mortality: Explaining the Rural Paradox with County‐Level Mortality Data

The “rural paradox” refers to standardized mortality rates in rural areas that are unexpectedly low in view of well‐known economic and infrastructural disadvantages there. We explore this paradox by incorporating social capital, a promising explanatory factor that has seldom been incorporated into residential mortality research. We do so while being attentive to spatial dependence, a statistical problem often ignored in mortality research. Analyzing data for counties in the contiguous United States, we find that: (1) the rural paradox is confirmed with both metro‐nonmetro and rural‐urban continuum codes, (2) social capital significantly reduces the impacts of residence on mortality after controlling for race and ethnicity and socioeconomic covariates, (3) this attenuation is greater when a spatial perspective is imposed on the analysis, (4) social capital is negatively associated with mortality at the county level, and (5) spatial dependence is strongly in evidence. A spatial approach is necessary in county‐level analyses such as ours to yield unbiased estimates and optimal model fit.     

Rural Disadvantage and Malaria in Less‐Developed Nations: A Cross‐National Investigation of a Neglected Disease

Although often forgotten among people in affluent nations, malaria represents a leading global health concern in poor, rural countries. Malaria is traditionally thought of as a rural disease, given the close proximity of rural households to mosquito disease vectors. However, more insight is needed to investigate the larger social, economic, and environmental conditions that perhaps interact with rurality to explain why some nations continue to have high levels of prevalence of this preventable and eradicable parasitic infection. We employ structural equation modeling to efficiently test for both direct and indirect effects of rurality. The results demonstrate that rurality works in important indirect ways; although rurality has indirect links to malaria through export agriculture, health spending, and sociohealth resources, careful decomposition of the indirect effects illustrates that the indirect effects through heath spending and sociohealth resources are most important. Overall, the findings suggest that rural vulnerabilities to malaria are not inherent and can be largely addressed by increasing public health provisions among rural populations.     

Socioeconomic System of the Oil Boom and Rural Community Development in Western North Dakota

An oil boom is a complex social and economic phenomenon. The socioeconomic system presented in this article represents a novel effort to explicate boom impacts and changes, within a systems framework, at the community level to enhance community planning and development efforts. Most boomtown studies focus on longitudinal changes of a boom‐bust‐recovery cycle or social‐disruption‐based approaches. This article is an effort to demonstrate that longitudinal changes or social disruptions of a boom manifest through the interactions and interrelationships between social entities and stakeholders acting within the boom conditions and surrounding conditions. The socioeconomic system approach in this article analyzes the boom as a system, which provides a useful lens for many other rural communities currently experiencing unconventional oil and gas development in the United States. The socioeconomic system highlights five main challenges or factors that need to be addressed through community development strategies: develop affordable housing, invest in community infrastructure, expand public services, attract new businesses to the area, and develop better community integration strategies to build trust and unity within the community. This article is qualitative and exploratory in nature. As a result, it explicates the functions, structure, and relationships between system entities to provide a broader understanding of coherence, conflicts, and synergies within a system.     

Cumulative and Relative Disadvantage as Long‐Term Determinants of Negative Self‐feelings*

We analyze the long‐term effects of neighborhood poverty and crime on negative self‐feelings of young adults. Cumulative and relative disadvantage explanations are tested with the interactive effect of (1) neighborhood and individual‐level economic disadvantage and (2) neighborhood crime and economic disadvantage. Results from a longitudinal study following adolescents to young adulthood show that the development of negative self‐feelings (a combination of depression, anxiety, and self‐derogation) is determined by relative, rather than cumulative disadvantage. The poor in affluent neighborhoods have the highest negative self‐feelings, while the relatively wealthy in poor neighborhoods have the lowest negative self‐feelings. Similarly, we find the highest increase in negative self‐feelings is found in an affluent neighborhood with crime and not in a poor neighborhood with crime.     

The Effects of Capital Campaigns on Other Nonprofits’ Fundraising

This study focuses on the effects of capital campaigns on the fundraising performance of other nonprofits within the same geographic region. Drawing from research in organizational ecology and charitable giving, we offer a theory of capital campaign impact that says any impact of a campaign must be looked for in a carefully circumscribed area or population of organizations, and that campaigns raise awareness of the need for services within a particular area. We use data on capital campaigns at arts nonprofit organizations in forty‐eight counties across the United States between 1999 and 2007, coupled with financial data on nonprofits in the arts in the same county to test our hypotheses. The results from our analyses show that a major capital campaign positively affects other nonprofits’ fundraising, and the effect varies depending on the phase of the capital campaign. We discuss possible mechanisms that drive the positive effects of capital campaigns, and conclude with a short illustration.     

DID REGIONAL ECONOMIC DIVERSITY INFLUENCE THE EFFECTS OF THE GREAT RECESSION?

Using data for U.S. counties from 2005 to 2012, we test whether higher levels of economic diversity mediated the effects of the Great Recession via four measures of stability. Spatial spillover effects are modeled by the use of the spatial Durbin estimator with heteroscedastic errors. The data generally support the central hypothesis that higher levels of diversity within a county are associated with enhanced employment stability across all counties as well as subsets of metro and nonmetro counties. Results for wage stability, however, appear to contradict our other findings. We suggest that underlying labor elasticities can bridge these apparent contradictory results. (JEL R11, R12, O47)     

Changing Economic Opportunities,Family Structure,and Poverty in Rural Areas1

Abstract Instrustrial restructuring in the 1980s ushered in a new pattern of growing economic diversity over geographic space. The objective of this study is to examine the extent and etiology of changing spatial inequality between and within metropolitan (metro) and nonmetropolitan (nonmetro) areas, as measured by increasing or decreasing county poverty rates. Results based on data from the 1980 and 1990 census summary tape files suggest several conclusions. First, poverty rates increased more rapidly in nonmetro than metro counties during the 1980s; historical patterns of metro-nonmetro economic convergence slowed over the past decade. Second, poverty rates tended to decline in nonmetro counties with traditionally high rates of poverty, thus providing counter-evidence to arguments suggesting that the gap between traditionally poor and nonpoor nonmetro counties has widened. Third, spatial differences in poverty rates and relative increases in county poverty rates over the 1980s were most strongly associated with women's employment and headship status. The results raise questions about the extent to which traditional rural economic development strategies address the potentially deleterious economic effects of rising percentages of poor female-headed families.     

The Impact of Migration on Poverty Concentrations in the United States, 1995–2000

Poverty is frequently conceptualized as an attribute of either people or places. Yet residential movement of poor people can redistribute poverty across places, affecting and reshaping the spatial concentration of economic disadvantage. In this article, we utilize 1995 to 2000 county‐to‐county migration data from the 2000 United States decennial census to explore how differential migration rates of the poor and nonpoor affect local incidence of poverty, and how migration reconfigures poverty rates across metropolitan, micropolitan, and noncore counties. We further examine the impact of differential migration rates on African American and Latino poverty rates, two groups that have experienced higher than average poverty rates and have a sizable presence in rural areas. Our analysis indicates that during the 1990s the poor moved at rates equal to or greater than the nonpoor, and that, especially in micropolitan counties, this movement tended to deepen existing poverty concentrations. Both African American and Latino migration patterns tended to reinforce existing poverty concentrations, a result similar to that of the population as a whole, although the migration patterns of both groups more severely exacerbated poverty in high‐poverty noncore counties.     

Running Away from Out‐of‐Home Care: A Multilevel Analysis

Previous research suggests that the likelihood of runaway episodes among children in out‐of‐home care varies across different communities/regions. However, the potential regional variation has rarely been reflected in attempts to understand runaway episodes in out‐of‐home care systems. The current study examines the effects of child characteristics, family characteristics and child welfare system‐related characteristics on the likelihood of runaway episodes among children in out‐of‐home care, while accounting for county‐level variations in the risk of runaway behaviours. The authors employed multilevel analyses using data on children aged 12–17 from the 2009 AFCARS database. Results demonstrate that the likelihood of runaway episodes varied across counties. Accounting for county variation, children's ages, gender, diagnosed clinical conditions, family structures, number of removals, number of placements, removal manner, and case plan goals significantly predicted runaway status. Implications are discussed.     

ETHNIC DIVERSITY, SEGREGATION, AND INEQUALITY: A Structural Model of Ethnic Prejudice in Bosnia and Croatia

Widespread ethnic prejudice is an incomplete explanation for the development of war in the former Yugoslavia. However, high levels of prejudice in ethnic enclaves played an important role in increasing ethnic tensions and facilitating the outbreak of war. The purpose of this article is to explain county differences in average levels of ethnic prejudice in Bosnia and Croatia prior to the wars of national separation. We focus on structural characteristics of counties, such as ethnic diversity, economic conditions, and ethnic segregation and inequality, to explain county differences in average levels of prejudice. We also consider the possibility that compositional differences among counties (e.g., differences in average levels of education) explain county differences in ethnic prejudice. We combine survey data and county-level census data collected immediately prior to the wars of national separation and use hierarchical linear modeling techniques to analyze these data. Results suggest that ethnic diversity and ethnic occupational segregation decrease ethnic prejudice while ethnic economic inequality increases ethnic prejudice. Thus, structural characteristics account for some of the county differences in average levels of prejudice. County compositional differences, however, explain a majority of the county variation in ethnic prejudice. These results provide important clues to the origins of pockets of intense ethnic prejudice within diverse societies.     

State‐led industrial development,structural transformation and elite‐led plunder: Angola (2002–2013) as a developmental state

From 2002 to 2013, Angola engaged in large‐scale state‐led reconstruction and development alongside an elite‐led appropriation and seizure of national assets. Until the oil price shock, Angola had been succeeding in promoting rapid economic growth, and possibly even significant social development, alongside a massive grab of wealth and power by local elites. Today, though an economic crisis has taken hold, frequent predictions of the country's imminent collapse have yet to be fulfilled. This article reviews the state's development planning and expenditure with a focus on public investment and industrial development to determine to what extent Angola during this period might be considered a developmental or petro‐developmental state. It is argued that, while more significant than generally thought, petro‐developmental outcomes were and are limited by the autocratic and neopatrimonial tendencies of the Angolan elite. Nevertheless, limited success with structural transformation may have lasting effects. Following its long civil war, the conditions existed for Angola to follow a new path of state‐led development. Though it may now be more difficult, structural transformation and economic diversification remain the only path to economic and social development.     

A Basic Accounting of Variation in Municipal Solid‐Waste Generation at the County Level in Texas, 2006: Groundwork for Applying Metabolic‐Rift Theory to Waste Generation

Abstract Environmental social scientists debate whether or not modern development reduces society's impact on the biosphere. The empirical research informing the discussion has not yet adequately examined the social determinants of municipal solid‐waste (MSW) generation, an increasingly relevant issue, both ecologically and sociologically. A primary problem for this research concerns the increasing exchange of MSW across state and county borders. A convenient way to avoid this problem is to examine variation between counties with landfills that service only the county in which the landfills are located. I applied this restriction to a cross‐sectional analysis of total MSW generated in Texas at the county level for 2006. Using robust regression, this study found that two basic measures of modern development, population per square mile and per capita income, are both positively related to total MSW generated at the county level and together explain about 73 percent of the variation in the dependent variable. The evidence corroborates the metabolic‐rift theory. The concentration of people onto smaller land areas, or urbanization, and increasing wealth in a capitalist economy contribute to the metabolic rupture between human society and the environment.     

Disproportionality and Resource‐Based Environmental Inequality: An Analysis of Neighborhood Proximity to Coal Impoundments in Appalachia

Environmental hazards created by resource extraction impose numerous risks on rural populations, but have been understudied in quantitative analyses of environmental inequality. This study fills that gap by examining whether neighborhoods with socioeconomic disadvantages are disproportionately proximate to coal impoundments in Appalachia. Coal impoundments are large, hazardous dams that hold billions of gallons of wastewater and slurry, a sludge‐like by‐product of processing coal. I ground this study in William Freudenburg's double diversion framework, which highlights “disproportionality”—the unequal trade‐off between economic benefits and environmental costs of certain industries. Disproportionality is evident in Appalachia, where coal mining makes up a small percentage of the region's jobs, but threatens local communities through the creation of environmental hazards. Spatial regression results indicate that neighborhoods closest to impoundments are slightly more likely to have higher rates of poverty and unemployment, even after controlling for rurality, mining‐related variables, and spatial dependence. The findings also suggest that a neighborhood's proximity to past mining activity is a stronger predictor of impoundment proximity than current levels of mining employment. This article lays the groundwork for future research on resource‐based environmental inequality that considers the uneven spatial distribution of hazards created by resource extraction.