The Industrial Transformation of Farm Communities: Implications for Family Structure and Socioeconomic Conditions

Abstract The industrialization of agriculture has resulted in extensive declines in the number of farms and in the number of people employed in agriculture. For many farm communities, this has resulted in rapid population declines. Other farm communities have been able to attract alternative sources of employment. This study analyzes family structure and socioeconomic conditions in 281 Great Plains counties that were economically dependent on agriculture at one time. Surprisingly, it was found that, while communities remaining agriculturally dependent had extensive population declines, they also had higher rates of employment, lower poverty rates, higher proportions of married couple households, and income levels equal to counties now economically dependent on nonfarm industries. Conditions in counties that have become service based were especially troubling.     

Consequences of Population Change for Retail/Wholesale Sector Employment in the Nonmetropolitan Great Plains: 1950–19961

Abstract A rural economic restructuring perspective and central place theory are used to assess the impact of population change on retail/wholesale sector employment for the 438 nonmetropolitan counties of the Great Plains region from 1950 to 1990. Findings indicate that county level population declined for every decade except the 1970 turnaround decade, and the greatest losses were in completely rural nonadjacent counties. The civilian labor force declined for all but the 1970 decade, when there was a substantial increase due to increased nonmetro manufacturing and the baby boom cohorts reaching labor force age. Retail/wholesale labor force increased in every decade except the 1980s. However, regression analysis found a positive and highly significant relationship between population change and retail/wholesale employment change. For this region, population decline is a major contributor to decline in the retail/wholesale employment sector at the county level. Preliminary data from the 1990–1996 period indicate a population and labor force rebound from the 1980s. However, as in the 1980s, gains are most likely concentrated in a small number of mainly urban nonadjacent counties.     

Economic Restructuring and Changing Prevalence of Female-headed Families in America1

Abstract Industrial restructuring has altered economic circumstances in the U.S., but the influences of these changes on family structure are not clear. This study examines whether industrial restructuring influences female headship and whether these effects differ in nonmetro and metro counties. Results based on data from the 1980 and 1990 U.S. Census of Population and Housing Summary Tape Files indicate several conclusions. First, female headed households increased more rapidly in nonmetro than metro counties from 1980 to 1990, although there was a great deal of variation across counties. Second, industrial restructuring contributed to change in female headship in nonmetro and metro counties, and changes in various industries had differing effects on female headship. Third, overall gains in women's employment in a county had no influence on formation of female headed households, gains in men's employment deterred female headship, and gains for women in specific industries tended to slow formation of these households. Fourth, controlling for changes in median income and part-time work did little to reduce the industry-specific influences on change in female headship. The results suggest that linkages between industrial restructuring and family structure do exist, although the models are less able to explain changes in female headship in nonmetro than in metro counties.     

The effects of income inequality and income level on mortality vary by population size in Texas counties

OBJECTIVES: This study uses the counties of Texas to empirically test the predictions of Wilkinson's theory on the role of income and inequality in explaining health differentials in populations. Wilkinson predicts (1) that health is affected more by income inequality than average income in areas with large population, and (2) that health is affected more by average income than income inequality in areas with small population. We investigate how large the population of a unit must be for income inequality within the unit to affect mortality. METHODS: Measures of income inequality were computed from the 1990 U.S. census data and mortality was computed from Vital Statistics data. Poisson regressions estimated the age-adjusted relative risk of the top quintile relative to the bottom quintile for equality and for income among selections of Texas counties based on population size. County ethnic composition, educational level, and health care access were controlled for. RESULTS: Among counties with populations greater than 150,000, the risk of death was lower in counties with more equal income distribution than in counties with less equal income distribution. Among counties with population less than 150,000, median income affected relative risk in counties with less than 30 percent Hispanics, but not in those with more than 30 percent Hispanics. CONCLUSIONS: This study provides some support for the predictions of Wilkinson's theory.     

Social Disorganization Theory and the Contextual Nature of Crime in Nonmetropolitan Counties*

Abstract This research explores violent and property crime rates in nonmetropolitan counties. It is argued that crime rates are lower in these counties because of higher levels of social integration. We test the hypothesis that predictors of crime from social disorganization theory exert different effects on violent and property crimes at different levels of population change in nonmetropolitan counties. We use a spatial lag regression model to predict the 1989–1991 average violent and property crime rates for these counties, taken from the Uniform Crime Reports (UCR). The results show that a factor‐analyzed index of resource disadvantage (poverty rate, income inequality, unemployment, percent female‐headed households) has different effects on both violent and property crime at different levels of population change in nonmetropolitan counties. Contrary to expectations, we find that resource disadvantage exerts a greater positive effect on both violent and property crimes in nonmetropolitan counties that lost population between 1980 and 1990. Implications for theory and research are discussed.     

Poverty,Place, and Coal Employment across Appalachia and the United States in a New Economic Era

The impacts of employment in the coal industry remain controversial. Few studies have investigated these impacts over the decade of the great recession and in light of the nation's changing energy economy. We bring together two long‐standing rural sociological traditions to address debates framed at the national level and for Appalachian communities facing the throes of transition from the coal industry. Building from rural sociology's “poverty and place” tradition and from natural resources sociology, we examine the relationship between coal employment and communities’ economic well‐being as indicated by poverty, household income, and unemployment. The study spans U.S. and Appalachian counties from 1990 to 2010. U.S. counties with greater coal employment in 1990 had lower income and higher poverty in 2000. Overall, however, coal employment's effect is mixed in the 1990–2000 decade. By contrast, for the recent 2000–2010 decade, coal employment is positively associated with indicators of well‐being. In Appalachia, fewer employment alternatives outside mining are related to higher well‐being. Our findings extend the poverty and place literature and the natural resources literature and underscore why a just transition away from coal should focus on moving communities toward sectors offering better future livelihoods.     

Nonmetropolitan Residential Segregation Revisited

Abstract Nonmetropolitan (nonmetro) residential segregation in 1990 and change in the preceding decade have received insufficient attention. A set of empirical hypotheses are derived and assessed using nonmetro and metropolitan (metro) counties in Texas. Places in nonmetro counties were more segregated than places in metro counties in 1990 as in 1980. Substantial declines in segregation occurred in both nonmetro and metro places but were largest in growing places in nonmetro counties. An analysis controlling for other determinants of segregation supports the premise that population change was a major determinant of 1980–1990 change in segregation. Implications for nonmetro areas in the 1990s are discussed.     

Pluriactivity in the Moshav:: family farming in Israel

In the past several years, pluriactivity has become quite widespread among moshav farming households, especially those located within Metropolitan Tel Aviv's rural fringe. Agricultural income has been on the decline and other sources of income have appeared. This paper has a threefold aim: To identify major patterns of income sources among Moshav's households; to explain the underlying causes for choosing pluriactivity as an income-producing strategy; and to explain the reasons for the specific choice of pluriactivity patterns adopted.An analysis of the activities of moshavim¹ located in the Sharon Region indicates that the further the moshav from the metropolitan area, the greater the role of agriculture in total family income. Within a pluriactivity strategy, the main additional sources of income are wage employment and small business activity, carried out either on or off the moshav. The main factors stimulating the increase in pluriactivity are the decline in agricultural income and the desire to take advantage of vocational training. This trend is supported by other factors, such as the availability of premises for alternative uses as well as the ease of operating a business from the home.The divergence in pluriactivity patterns may indicate that the frequency of mixing agriculture with other income sources may be a temporary option adopted by households for which agriculture has been a mainstay. Those households may shift away from agriculture in the short or mid-term. We would argue that at present, for the majority of those no longer devoted solely to agriculture, pluriactivity is also aimed at helping to sustain agricultural activity. In such cases, farmers utilise the resources acquired from non-agricultural employment for investment in agriculture, including the upgrading of equipment and other assets.     

The Correlates of Farm Concentration in American Agriculture

Abstract In recent years, the most pronounced change in the structure of American agriculture has been the increasing concentration of farm production. A human ecological perspective was used to generate hypotheses about the factors related to variations in farm concentration in U.S. counties. Analysis using the 1978 and 1987 Censuses of Agriculture revealed that concentration is greatest in counties with higher levels of agricultural intensity, greater use of mechanization, and greater use of farm labor.     

Social capital and household income distributions in the United States: 1980, 1990

This paper asked if changes in social capital influence the level and disparity of household income in the United States. Social capital is defined in this paper as one's sympathy (antipathy) for others and one's idealized self. Changes in social capital are expected to produce the following economic consequences. First, increases in social capital are expected to alter the terms of trade and to increase the likelihood of trades between friends and family. Second, increases in social capital are expected to increase an economic agent's concerns for the external consequences of his or her choices, internalizing what otherwise would be considered externalities. Third, increases in social capital between firms are expected to increase the likelihood that they will act in their collective interest. Fourth, increases in social capital are expected to increase the opportunities for specialization and the likelihood of trade. Finally, increases in social capital are expected to raise the average level of income and reduce the disparity of income.This paper empirically tested the relationship between changes in social capital indicator variables and changes in the average and coefficient of variation (CVs) of household income. State CVs and averages of household income were calculated for all 50 states and for different races/ethnic groups using the U.S. Census data for 1980 and 1990. Social capital indicator variables selected to measure changes in social capital included measures of family integrity including the percentages of households headed by a single female with children; educational achievement variables including high school graduation rates; crime rate variables including litigation rates; and labor force participation rates. The social capital indicator variables appeared to be significantly correlated with each other. However, in 1980, the percentages of households headed by a single female with children was not significantly related to the birth rates of single teens. By 1990, however, a strong correlation was found between the percentages of households headed by a single female with children and the birth rate of single teens.Income inequality among U.S. households measured using CVs increased between 1980 and 1990 in all 50 states. The largest increase in CVs was among white households. The smallest increase in CVs was among Asian households. The states with the largest increase in the ratio of 1990 and 1980 CVs were Arizona, Wyoming, Maine, Vermont, and Texas. Half of the states reported decreases in real household income between 1980 and 1990. Those states with the largest percentage decrease in real income were Wyoming, Alaska, Montana, Louisiana, and West Virginia. The largest percentage increase in real income was reported by Connecticut, New Jersey, Rhode Island, and Massachusetts.State CVs and averages of household income were regressed on four factors or subsets of social capital indicator variables. The four factors used to predict CVs and averages of household income were generally statistically significant. The findings of this report support the conclusion that changes in social capital have a significant effect on the disparity and level of household income.     

Changing Income Inequality in Nonmetropolitan Counties, 1980 to 1990*

Abstract Income inequality has been increasing across the United States, but little is known about changing income inequality in nonmetropolitan counties. Data from the 1980 and 1990 Summary Tape Files of the U.S. Census of Population and Housing are used to estimate ordinary least squares models of change in income inequality. Household income inequality increased in a smaller share of nonmetro than metro counties from 1980 to 1990, and increases in income inequality were influenced more strongly by economic restructuring in nonmetro than in metro counties. Other factors, such as change in household structure, demographic composition, and labor supply and job quality, were generally similar in affecting income inequality in nonmetro and metro counties. The greater importance of economic restructuring in nonmetro counties indicates the lesser diversity and smaller size of local economies, and their greater vulnerability to forces of economic restructuring.     

Migration Dynamics,Entrepreneurship, and African Development: Lessons from Malawi

Using data from Malawi, this study situates the discourse on migration, entrepreneurship, and development within the context of Africa's social realities. It examines self‐employment differences among three groups of migrants and corresponding group differences in agricultural and non‐agricultural self‐employment. International migrants are found to be more engaged in self‐employment than internal migrants. However, our results suggest that previous findings on the development‐related contributions of returning migrants from the West need to be appropriately contextualized. When returnees from the West invest in self‐employment, they typically shy away from Africa's largest economic sector – agriculture. In contrast, levels of self‐employment, especially in agricultural self‐employment, are highest among returning migrants and immigrants from other African countries, especially from those nearby. We also underscore the gendered dimensions of migrants’ contribution to African development by demonstrating that female migrants are more likely to be self‐employed in agriculture than male migrants. Furthermore, as human‐capital increases, migrants are more likely to concentrate their self‐employment activities in non‐agricultural activities and not in the agricultural sector. The study concludes using these findings to discuss key implications for policy and future research.     

The Dynamics of Income Growth and Poverty: Evidence from Districts in India

This article examines the dynamics of the income‐distribution pattern in India during the post‐1991 economic reforms. It considers district‐level per‐capita income data across agriculture, manufacturing, services, and various constituent sub‐sectors, and finds evidence in favour of a uniform process of growth across sectors and regions, which has helped to reduce poverty. In particular, the article finds that growth in agricultural income and access to finance are important for this.     

Residence and Income Inequality: Effects on Mortality Among U.S. Counties

Abstract Despite lower average incomes, greater percentages living in poverty, lower levels of health insurance, less preventive health care, and poorer health status, nonmetropolitan residents have been found to experience lower mortality than their metropolitan counterparts. Several pathways through which residence influences mortality have been proposed. The objective of this study is to examine the effects of income inequality on residential differentials in mortality. Using data from the Compressed Mortality File for counties in the coterminous United States for 1990, we estimate weighted least squares models of total mortality for 3,067 counties, and separately for metropolitan and nonmetropolitan counties. Mortality is lower in nonmetropolitan counties than in metropolitan counties, once rates are standardized for age, sex, and race. Moreover, income inequality exerts stronger effects in nonmetro counties, an effect that persists when per capita income, median household size, and racial composition are controlled. The percentage of the population that is black exerts an independent effect on mortality in both metro and non‐metro counties.     

Moving Up in Rural America: Economic Attainment of Nonmetro Latino Immigrants

Rapid Hispanic population growth represents a pronounced demographic transformation in many nonmetropolitan counties, particularly since 1990. Its considerable public policy implications stem largely from high proportions of new foreign‐born residents. Despite the pressing need for information on new immigrants in nonmetro counties and a bourgeoning scholarship on new rural destinations, few quantitative analyses have measured systematically the social and economic well‐being of Latino immigrants. This study analyzes the importance of place for economic well‐being, an important public policy issue related to rural Hispanic population growth. We consider four measures of economic mobility: full‐time, year‐round employment; home ownership; poverty status; and income exceeding the median national income. We conduct this analysis for 2000 and 2006–2007 to capture two salient periods of nonmetro Hispanic population growth, using a typology that distinguishes among nonmetropolitan areas by the categories of “traditional” immigrant destinations concentrated in the Southwest and Northwest, “new” immigrant destinations to capture recent and rapid Hispanic population growth in the Midwest and Southeast, and “all other” rural destinations as a reference category representing more typical nonmetro population trends. We also compare our results to those for metropolitan destinations. We find that place type matters little for stable employment but more so for wealth accumulation and income security and mobility. Compared with urban Latino immigrants, rural Latino immigrants exhibit higher rates of homeownership as well as greater likelihoods of falling into poverty and lower likelihoods of earning a measure of U.S. median income. From 2000 to 2006–2007, rural‐urban differences deteriorated slightly in favor of urban areas. We conclude by discussing implications of these findings and those of addressing rural immigrant economic well‐being more generally.     

Income distributions,labour market sectors and the Goldschmidt hypothesis: the nonmetropolitan United States in 1970 and 1980

Local social structures are not simply their national counterparts writ small. There are autonomous, locality-specific influences which have a significant bearing on variations in socio-economic conditions. To show this. this paper concentrates on two measures of income distribution — family/household income inequality and poverty rates. Drawing on data from a one-in-six systematic sample of nonmetropolitan U.S. counties for 1970 and 1980, variations in these conditions are evaluated in the context of labour market segmentation and Goldschmidt's ideas on the socio-economic consequences of large-scale farms. The direct effects of these causal forces are shown to be influenced by the employment structures of local labour markets. The most important determinants of income distribution differences within labour market types are shown to be monopoly sector employment, competitive sector employment, large farm holdings, nonwhite population compositions and location within the southern United States.     

Social Disorganization in New Latino Destinations?*

Abstract Rural industrial restructuring, including growth in meat processing and other nondurable manufacturing, has generated employment opportunities that have attracted Latino in‐migrants to new nonmetropolitan destinations. Long‐time residents, however, are not always receptive. While some observers point to economic and social benefits of a Latino influx, others believe that the newcomers drain local resources, raise poverty and crime rates, and diminish the quality of life in their communities. We evaluate the influence of rapid population growth on emerging Latino destinations—new boomtowns. We use data from the U.S. census and other sources to measure changes in local economic circumstances and quality of life in nonmetropolitan boom counties experiencing high rates of Latino growth between 1990 and 2000. Our findings indicate that large influxes of Latinos had surprisingly few negative economic consequences for local populations. Furthermore, the quality of life in new destinations did not deteriorate in comparison to other nonmetropolitan counties, especially with regard to crime. Mounting pressure to educate students with limited English proficiency is nevertheless apparent. Our conclusion highlights relevant national policy debates and underscores the need for commitment on the part of firms responsible for Latino growth.     

INCOME INEQUALITY: THE IMPLICATIONS OF ECONOMIC STRUCTURE AND SOCIAL CONDITIONS

During the past few decades income inequality has been increasing in the United States and other developed nations, and is having major social consequences. In this study county-level data for the United States was analyzed to test the relative importance of three alternative approaches for explaining increased levels of inequality. These three approaches include economic structure, social conditions, and a model that maintains that both social conditions and inequality are a function of economic structure. The results revealed that social conditions were much more strongly related to inequality than economic structure and little support was found for the theoretical model. The two social conditions most strongly related to inequality included female employment and the percent of female-headed households. Counties with high levels of female employment tended to have low levels of inequality, while counties with high proportions of female-headed households tend to have high levels of inequality. The implications of these findings are discussed.     

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 Changing Impact of Industry,Household Structure,and Residence on Household Weil-Being1

Abstract The changing impact of industry, household structure, and residence on household well-being during the 1980s is examined with data from the Current Population Survey for 1981–1982 and 1990–1991. Findings indicate that household well-being was greatest for those families relying on traditional higher-wage industries (high-wage manufacturing, government, mining). The well-being of families relying on higher-wage services was lower, most likely a consequence of the prevalence of marginal and low-paying jobs in the service sector. Rewards associated with employment in construction and low-wage manufacturing were not consistently greater than those associated with employment in low-wage services. While changes in the impact of industry were minor, significant changes occurred in the impact of an additional earner on economic well-being over the decade. Results indicate that increasing hardship has been experienced by vulnerable populations, such as nonmetropolitan and single-headed families, and minority households, particularly Hispanics. Implications for economic development strategies and work-related assistance programs are highlighted.