scholarly journals New spatial data on ethnicity

2018 ◽  
Vol 55 (5) ◽  
pp. 687-698 ◽  
Author(s):  
Carl Müller-Crepon ◽  
Philipp Hunziker
Keyword(s):  
Political Violence ◽  
Spatial Data ◽  
Settlement Patterns ◽  
Census Data ◽  
Local Level ◽  
Ethnic Politics ◽  
Political Polarization ◽  
Demographic And Health Surveys ◽  
Middle Income ◽  
Related Information

Research on ethnic politics and political violence has benefited substantially from the growing availability of cross-national, geo-coded data on ethnic settlement patterns. However, because existing datasets represent ethnic homelands using aggregate polygon features, they lack information on ethnic compositions at the local level. Addressing this gap, this article introduces the Spatially Interpolated Data on Ethnicity (SIDE) dataset, a collection of 253 near-continuous maps of local ethno-linguistic, religious and ethno-religious settlement patterns in 47 low- and middle-income countries. We create these data using spatial interpolation and machine learning methods to generalize the ethnicity-related information in the geo-coded Demographic and Health Surveys (DHS). For each DHS survey we provide the ethnic, religious and ethno-religious compositions of cells on a raster that covers the respective countries at a resolution of 30 arc-seconds. The resulting data are optimized for use with geographic information systems (GIS) software. Comparisons of SIDE with existing categorical datasets and district-level census data from Uganda and Senegal are used to assess the data’s accuracy. Finally, we use the new data to study the effects of local polarization between politically relevant ethnic groups, finding a positive effect on the risk of local violence such as riots and protests. However, local ethno-political polarization is not statistically associated with violent events pertaining to larger-scale processes such as civil wars.

scholarly journals The Land of the ‘Fair Go’? Mapping Income Inequality and Socioeconomic Segregation Across Melbourne Neighbourhoods

2021 ◽  
pp. 229-246
Author(s):  
Michelle Sydes ◽  
Rebecca Wickes
Keyword(s):  
Income Inequality ◽  
Census Data ◽  
Local Level ◽  
Foreign Born ◽  
Ethnic Segregation ◽  
Dissimilarity Index ◽  
Middle Income ◽  
Noticeable Increase ◽  
Socioeconomic Segregation ◽  
Over Time

AbstractDespite enduring political rhetoric that promotes Australia as ‘the lucky country’ and ‘the land of the fair go’, recent decades have seen a noticeable increase in levels of income inequality. This growing economic divide has driven housing prices up and left lower-income families unable to access the housing market in inner-city locations. In contrast to other countries, Australia’s socioeconomic segregation does not overlap with ethnic segregation. Australia’s highly regulated immigration program has resulted in a relatively well-educated and employable foreign-born population who largely reside in middle-income neighbourhoods. These particularities make Australia an interesting context to explore patterns of socioeconomic segregation over time. In this chapter, we will utilise both traditional measures of segregation (such as the dissimilarity index) as well more spatialised measures (such as location quotients and Local Morans I) to assess socioeconomic segregation at the local level. Drawing on four waves of census data (2001, 2006, 2011 and 2016), we explore how socioeconomic segregation has changed over time across nearly 500 neighbourhoods in Melbourne. We further examine the degree to which socioeconomic segregation aligns with ethnic segregation patterns and levels in this city. We find patterns of socioeconomic segregation remain relatively unchanging over time in Melbourne. Additionally, our findings highlight important differences in patterns and levels of socioeconomic and ethnic segregation in the Australian context.

It Takes a Village

2018 ◽  
Vol 4 (2) ◽  
pp. 145-168
Author(s):  
Rebekah Burroway ◽  
Andrew Hargrove
Keyword(s):  
Women's Education ◽  
Spatial Data ◽  
Well Being ◽  
Demographic And Health Surveys ◽  
Community Characteristics ◽  
Middle Income ◽  
Middle Income Countries ◽  
Key Factor ◽  
The Individual

Women's education is widely recognized as a key factor in improving well-being in developing countries. However, previous research rarely considers both the individual and contextual effects of education. As broad societal transformations take place, education may shape women's capacity to take advantage of better access to power and resources, resulting in a dispersion effect of expanded women's education on well-being. Combining multilevel modeling with spatial data techniques, this study investigates variation in child malnutrition in Nigeria based on a set of individual and community characteristics. Nigeria is an interesting development case study because it outperforms other lower middle-income countries in GDP per capita, yet lags behind in many indicators of well-being. Drawing on data from the Demographic and Health Surveys and the Global Administrative Areas database, the analysis pools data on 24,990 children across 458 communities. Results indicate that women's education has a robust association with malnutrition at the community level, even controlling for a variety of household characteristics. This suggests that education has a protective effect on child health not only because more individual women are going to school, but also because everyone benefits from the education and empowerment of women in the community.

Where Do Peacekeepers Go When They Go?

2014 ◽  
Vol 18 (1-2) ◽  
pp. 69-91 ◽  
Author(s):  
Ashly Adam Townsen ◽  
Bryce W. Reeder
Keyword(s):  
Conflict Management ◽  
Political Violence ◽  
Spatial Data ◽  
Democratic Republic ◽  
Local Level ◽  
State Violence ◽  
International Borders ◽  
Recent Developments ◽  
Republic Of The Congo ◽  
Peacekeeping Forces

Recent developments in the availability of spatial data and the growing trend of spatial analysis in political science has given scholars the ability to account for local-level factors in the study of political violence and conflict management. In this paper, the authors contribute to this growing body of literature by employing geo-coded data to empirically explore a question central to the study of peacekeeping – when peacekeepers are authorized to enter a conflict, where do they go? In other words, what types of violence are peacekeeping forces most concerned with, and what geographic features might prevent or allow for the deployment of peacekeepers? Using the un mission in the Democratic Republic of the Congo, the authors find that peacekeeping forces were less concerned with non-state violence (rebels fighting rebels) and instead focused on government-rebel confrontations and those instances in which government or rebels attacked unarmed civilians. In addition, peacekeepers are shown to cluster around transportation networks, densely populated areas, surface-based resources, and international borders.

scholarly journals Procurement, finance and the energy transition: Between global processes and territorial realities

2021 ◽  
pp. 251484862199112
Author(s):  
Lucy Baker
Keyword(s):  
Electricity Generation ◽  
Local Level ◽  
Energy Transition ◽  
Community Empowerment ◽  
Renewable Electricity ◽  
Middle Income ◽  
Middle Income Countries ◽  
Asset Class ◽  
Renewable Electricity Generation ◽  
Utility Scale

Utility-scale renewable electricity generation is essential to decarbonisation as well as to ensuring affordable and secure electricity supplies around the world. Yet thus far there has been limited critical thinking dedicated to the complexities behind the finance and ownership of this new infrastructure and how national and local stakeholders should participate in and benefit from its development, particularly in contexts of high inequality in low- and middle-income countries. As the global renewable energy industry becomes increasingly consolidated and financialised, evidence from a number of countries suggests that despite the pro-environmental outcomes of utility-scale renewable electricity generation, the processes and institutions that procure and finance it have often failed to include or benefit individuals and communities living in the national and local vicinity. This paper therefore sets two key competing objectives of renewable electricity generation in context: as a predictable, long-term revenue stream for investors, and as a mechanism for socio-economic development and community empowerment. Building on scholarship from human geography, development studies and sustainability transitions, my analysis takes forward understandings of the role of finance in utility-scale renewable electricity generation as a key aspect of the political economy of the energy transition. In exploring the evolution of renewable electricity as a new and rapidly emerging asset class I consider how its development is increasingly determined by the frameworks and logics of finance and investment. Drawing on examples from South Africa and Mexico, I address the following questions: What are the evolving configurations and processes of finance and investment in utility-scale renewable electricity generation? How have they been facilitated? And what tensions have arisen from their implementation at the national and local level?

scholarly journals Population cluster data to assess the urban-rural split and electrification in Sub-Saharan Africa

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Babak Khavari ◽  
Alexandros Korkovelos ◽  
Andreas Sahlberg ◽  
Mark Howells ◽  
Francesco Fuso Nerini
Keyword(s):  
World Bank ◽  
Population Distribution ◽  
Population Data ◽  
Sub Saharan Africa ◽  
Demographic And Health Surveys ◽  
Middle Income ◽  
Disease Response ◽  
The World Bank ◽  
The World ◽  
Urban Rural

AbstractHuman settlements are usually nucleated around manmade central points or distinctive natural features, forming clusters that vary in shape and size. However, population distribution in geo-sciences is often represented in the form of pixelated rasters. Rasters indicate population density at predefined spatial resolutions, but are unable to capture the actual shape or size of settlements. Here we suggest a methodology that translates high-resolution raster population data into vector-based population clusters. We use open-source data and develop an open-access algorithm tailored for low and middle-income countries with data scarcity issues. Each cluster includes unique characteristics indicating population, electrification rate and urban-rural categorization. Results are validated against national electrification rates provided by the World Bank and data from selected Demographic and Health Surveys (DHS). We find that our modeled national electrification rates are consistent with the rates reported by the World Bank, while the modeled urban/rural classification has 88% accuracy. By delineating settlements, this dataset can complement existing raster population data in studies such as energy planning, urban planning and disease response.

scholarly journals Finding Children with High Risk of Non-Vaccination in 92 Low- and Middle-Income Countries: A Decision Tree Approach

Vaccines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 646
Author(s):  
Thiago M. Santos ◽  
Bianca O. Cata-Preta ◽  
Cesar G. Victora ◽  
Aluisio J. D. Barros
Keyword(s):  
High Risk ◽  
Decision Tree ◽  
Immunization Coverage ◽  
Risk Groups ◽  
Demographic And Health Surveys ◽  
Middle Income ◽  
Agenda 2030 ◽  
Middle Income Countries ◽  
Tree Approach ◽  
Low And Middle Income

Reducing vaccination inequalities is a key goal of the Immunization Agenda 2030. Our main objective was to identify high-risk groups of children who received no vaccines (zero-dose children). A decision tree approach was used for 92 low- and middle-income countries using data from Demographic and Health Surveys and Multiple Indicator Cluster Surveys, allowing the identification of groups of children aged 12–23 months at high risk of being zero dose (no doses of the four basic vaccines—BCG, polio, DPT and measles). Three high-risk groups were identified in the analysis combining all countries. The group with the highest zero-dose prevalence (42%) included 4% of all children, but almost one in every four zero-dose children in the sample. It included children whose mothers did not receive the tetanus vaccine during and before the pregnancy, who had no antenatal care visits and who did not deliver in a health facility. Separate analyses by country presented similar results. Children who have been missed by vaccination services were also left out by other primary health care interventions, especially those related to antenatal and delivery care. There is an opportunity for better integration among services in order to achieve high and equitable immunization coverage.

Resource access mechanisms in networks and SME survival in Ghana

2018 ◽  
Vol 12 (5) ◽  
pp. 611-631 ◽  
Author(s):  
George Acheampong ◽  
Raphael Odoom ◽  
Thomas Anning-Dorson ◽  
Patrick Amfo Anim
Keyword(s):  
Census Data ◽  
Local Level ◽  
Directed Network ◽  
Resource Access ◽  
Content Type ◽  
Structural Hole ◽  
One Year ◽  
Global And Local ◽  
Access Mechanisms ◽  
Global Influence

Purpose The study aims to determine the resource access mechanism in inter-firm networks that aids SME survival in Ghana. Design/methodology/approach The authors collect census data on a poultry cluster in Ghana and construct a directed network. The network is used to extract direct and indirect ties both incoming and outgoing, as well as estimate the structural holes of the actors. These variables are used to estimate for survival of SMEs after a one-year period using a binary logit model. Findings The study finds that out-indirect ties and structural hole have a significant influence on SME survival. This works through the global influence and the vision advantage that these positions and ties offer the SMEs. Originality/value The study offers SMEs a choice of whom to collaborate with for information (resources) in the form of outgoing and incoming ties at both the global and local level.

Environmental Change, Migration, and Conflict in Africa: A Critical Examination of the Interconnections

2017 ◽  
Vol 26 (4) ◽  
pp. 351-374 ◽  
Author(s):  
Laura Freeman
Keyword(s):  
Environmental Change ◽  
Political Violence ◽  
Local Level ◽  
Critical Examination ◽  
Population Movements ◽  
Lake Chad ◽  
Islamic Terrorism ◽  
Conflict In Africa ◽  
Intervening Variables ◽  
Causal Variable

How should we understand the interconnections between environmental change, migration, and conflict in Africa? Should the rise of Islamic terrorism and Boko Haram in northeast Nigeria be directly linked to the drying of Lake Chad? Should cattle raiding in Kenya be seen as a result of drought across East Africa? Does the constrained migration of the pastoral Tuareg in the Sahel causally connect to desertification and their rebellion against governmental forces? Despite the compelling and often persuasive case for directly connecting environmental change to migration and conflict, there is a growing agreement in both the environment-migration and climate-conflict spheres that intervening variables determine if and how environmental change causes population movements and political violence. This article presents a case for migration as an intermediary and bidirectional causal variable. The article argues that close attention needs to be paid to local-level manifestations of conflict and (mal)adaptive forms of migration to understand the potential propensity of environmental change to lead to conflict in Africa.

scholarly journals USING PARTICIPATORY APPROACH TO IMPROVE AVAILABILITY OF SPATIAL DATA FOR LOCAL GOVERNMENT

2016 ◽  
Vol III-4/W1 ◽  
pp. 139-144
Author(s):  
T. Kliment ◽  
V. Cetl ◽  
H. Tomič ◽  
J. Lisiak ◽  
M. Kliment
Keyword(s):  
Spatial Data ◽  
Local Governments ◽  
Local Level ◽  
Property Tax ◽  
Open Data ◽  
Quality Level ◽  
Tax Rates ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Participatory Gis

Nowadays, the availability of authoritative geospatial features of various data themes is becoming wider on global, regional and national levels. The reason is existence of legislative frameworks for public sector information and related spatial data infrastructure implementations, emergence of support for initiatives as open data, big data ensuring that online geospatial information are made available to digital single market, entrepreneurs and public bodies on both national and local level. However, the availability of authoritative reference spatial data linking the geographic representation of the properties and their owners are still missing in an appropriate quantity and quality level, even though this data represent fundamental input for local governments regarding the register of buildings used for property tax calculations, identification of illegal buildings, etc. We propose a methodology to improve this situation by applying the principles of participatory GIS and VGI used to collect observations, update authoritative datasets and verify the newly developed datasets of areas of buildings used to calculate property tax rates issued to their owners. The case study was performed within the district of the City of Požega in eastern Croatia in the summer 2015 and resulted in a total number of 16072 updated and newly identified objects made available online for quality verification by citizens using open source geospatial technologies.

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