Pluralism and ethnic conflict in Tanzania's arid lands: the case of the Maasai and the WaArusha

In Tanzania, the Maasai and Waarusha tribes are experiencing conflict because differences in their modes of productions and economic strategies undermine the peaceful coexistence that they have enjoyed since the 18th century. The Maasai are pastoralists, while the Waarusha are agricultural subsistence farmers who are encroaching on the best pasture lands. A sketch of the history of the two groups shows that the Maasai reached the peak of their land holding in 1880 before the arrival of European colonists who seized land and restricted the Maasai to a semi-arid reserve but allowed the Maasai to remain an autonomous and powerful group. The Waarusha began encroaching on Maasai land after independence due to land and population pressure. While closely tied, each group looks down on the other, and Maasai ascendancy has given way to Waarusha challenges. After independence, the tribal and ethnic rule that was protected by the colonial system was disrupted to allow for increased internal migration and new patterns of settlement. The rights of land ownership were transferred from tribes to the State, allowing privileged groups to benefit. The Waarusha began to engage in illegal land-grabbing and to encroach on the Maasai preserve using legal and illegal means. The Maasai view land as collective property and have had difficulty retaining title of traditional lands in the face of population pressure. This loss of grazing land has forced the Maasai into a mixed economy that depends upon agricultural production as well as livestock production. In the meantime, the Waarusha have deliberately sought political office to gain power to secure their holdings. Immediate action is needed to produce 1) a policy on spontaneous settlement, 2) an immediate adjustment of legal procedures for land acquisition, 3) a land tenure policy that equally emphasizes agricultural and livestock production, and 4) controls on undue expansion of subsistence agriculture into semi-arid rangelands.     

Application of Stein-type estimation in combining regression estimates from replicated experiments

This paper considers the application of Stein-type estimation procedure for the coefficients in a linear regression model when data are available from replicated experiment. Two families of estimators characterized by a single scalar are proposed and their large sample asymptotic properties are derived. These are utilized for comparing the performances of the two estimators along with the conventional estimator and conditions for the superiority of one estimator over the other are deduced.     

The new illegal immigration in Japan, 1980-1992

"This article presents some of the latest available figures on illegal immigration in Japan, a process that did not assume significant proportions until the mid-1980s. It also discusses briefly the latest developments around 'immigration' policy--more precisely, the law on the entry and exit of aliens."     

DO SURVEYS OVERSTATE PUBLIC CONCERNS?

Because the item, "How concerned are you about...?" asks respondentsto indicate their level of concern about an issue, some respondentsmay sense it assumes they are concerned or should be concernedabout the issue. Using a filter question to first determineif people are concerned about the issue before asking for theirdegree of concern may help solve this problem. To test thishypothesis, a split-ballot experiment was embedded in a nationalrandom digit dialing telephone survey on food-related issues.For the four items included in the experiment, the group receivingthe filter versions of the questions gave roughly double thepercentages of "not concerned" responses as the group receivingstandard items, and the filter group also gave fewer responsesat the upper end of the response scale.     

Emigration dynamics of eastern African countries

This examination of emigration dynamics focuses on 13 countries extending from Eritrea to Zimbabwe and Mozambique on the eastern African mainland and on 5 Indian Ocean island nations. The first part of the study looks at the temporal, spatial, and structural perspectives of emigration dynamics. Part 2 considers international migration in the region according to Appleyard's typology (permanent settlers, labor migration, refugees, and illegal migrants) with the additional category of return migration. Measurement issues in emigration dynamics are discussed in part 3, and the demographic/economic setting is the topic of part 4. The demographic factors emphasized include spatial distribution, population density, population structure, population dynamics, demographic transition, and the relationship between internal and international migration. Other major topics of this section of the study are the economic base, the human resource base, population and natural resources, the sociocultural context (emigration, chain migration, return migration, and migration linkages and networks), political factors (including human rights, minority rights and security, regional integration and economic cooperation, and the impact of structural adjustment programs), and a prediction of future emigration dynamics. It is concluded that refugee flows remain a major factor in eastern African countries but the development of human resources in the northern portion of the region indicates development of potential labor migration from this area. Data constraints have limited measurement of emigration in this region and may contribute to the seeming indifference of most eastern African countries to emigration policies. Emigration in this region has been triggered by deteriorating economic and political conditions and is expected to increase.     

International migration and sustainable human development in eastern and southern Africa

International migration in eastern and southern Africa (ESA) is rarely addressed in population and development policies or regional organizations, and regional organizations must in the articulation of sustainable shared development identify the role of international migration. Poor quality data on international migration hampers analysis. Sustainable, shared, and human development within the region are subregional issues. Permanent migration is characterized among ESA countries as increasing demographic ethnic pluralism that may result in redrawing of territorial boundaries and further population movement. Portuguese and Arab settlement and integration in eastern areas resulted in coexistence, while European immigration to South Africa resulted in racial segregation. Modern colonial settlement and the aftermath of political conflict resulted in independent countries after the 1960s and outmigration of nonAfrican groups. Much of the labor migration in ESA is unskilled workers moving to South African mining regions. Labor migration to Zimbabwe and Zambia declined after the 1960s. The formation of the Common Market for ESA and the potential merger with the Preferential Trade Area and South African Development Community is a key approach to integration of migration into regional cooperation and shared development. Refugee movements create the most problems. Prior to 1992 ESA countries accounted for 83.4% of refugees, particularly in Mozambique, Ethiopia, and Somalia. Some countries blame poor economic performance on the deluge of refugees. Illegal migration is currently detected because of the required work permits, but the adoption of the Common Market would obscure this phenomenon. Human development is affected most by migrations related to drought, labor migration to strong economic areas, and return migration. The Inter-Governmental Authority on Drought and Development needs to become more active and establish better policies on nomadic and refugee movements and displaced populations. Movement of educated populations to countries lacking in trained and skilled human resources is a future challenge. Strategies of immigration should facilitate economic development.     

An evaluation of population projection errors for census tracts

"In this article we evaluate the accuracy and bias of projections of total population and population by age group for census tracts in three counties in Florida. We use [U.S. census] data from 1970 and 1980 and several simple extrapolation techniques to produce projections for 1990; we then compare these projections with 1990 census counts and evaluate the differences. For the total sample, we find mean absolute errors of 17%-20% for the three most accurate techniques for projecting total population and find no indication of overall bias. For individual age groups, mean absolute errors range from 20%-29%." This is a revised version of a paper presented at the 1993 Annual Meeting of the Population Association of America.     

Community,Family, and Race/Ethnic Differences in Health Status in Rural Areas1

Abstract Many race-specific differences in health outcomes that have been observed in previous research have been attributed to class and racebased group differences which either facilitate or constrain health opportunities and behaviors. These include such variables as different rates of poverty, health insurance coverage, and access to medical care. However, these relationships have been inadequately examined in rural communities where minority status may be even more detrimental to health than in urban areas, due to various constraints on access to health care. We present an analysis that assesses the effects of community, family structure, sociodemographic, and medical care variables on self-reported health status among Hispanics, Mrican Americans, and non-Hispanic whites in six rural communities in Florida. Community structural characteristics had a significant effect on self-reported health, as did some of the measures of how respondents “experience” community. These relationships held even when other sets of variables were added to the models. Family/household characteristics and sociodemographic and medical care variables were less important in explaining self-reported health status. These findings suggest that community continues to be important in explaining differences in health status in rural areas.