scholarly journals 'Tis but thy name that is my enemy: On the construction of macro panel datasets in conflict and peace economics

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Vanessa Boese ◽  
Katrin Kamin
Keyword(s):  
Development Indicators ◽  
Data Merging ◽  
Interstate Disputes ◽  
Large Numbers ◽  
Merging Process ◽  
Relevant Variables ◽  
The Empirical Analysis ◽  
Militarized Interstate Disputes ◽  
Coding Unit ◽  
World Development

The empirical analysis of datasets covering a large number of countries and time periods has become an integral part of conflict and peace economics. As such, numerous studies examine relationships between and among macroeconomic, political, and conflict variables and this often involves the merging of disparate datasets to combine relevant variables for which the country unit of analysis, however, is not necessarily the same. This article highlights difficulties in the data merging process and, by way of example, presents detailed country coding unit comparison for two economic (UN Comtrade and World Development Indicators), two democracy (Polity IV and V-Dem), and two conflict datasets (UCDP/PRIO Armed Conflict Dataset and COW Militarized Interstate Disputes Dataset). We find that merging datasets can result in the elimination of very large numbers of observations due to unmergeable records and that dropped observations often include the very countries or territorial entities most of interest in conflict and peace economics.

scholarly journals From Information Society to Knowledge Society: The Asian Perspective

2014 ◽  
Vol 15 ◽  
pp. 37-46
Author(s):  
Bilal Mehmood ◽  
Hafeezur Rehman ◽  
Syed Husnain Haider Rizvi
Keyword(s):  
Knowledge Creation ◽  
Fixed Effects ◽  
Knowledge Society ◽  
Time Dimension ◽  
Data Set ◽  
Development Indicators ◽  
Pooled Mean Group ◽  
Relevant Variables ◽  
World Development

In an era, where ‘traditional society’ is replaced by a ‘knowledge society’, there is a global inclination towards creating knowledge and nurturing its affiliated factors. Accordingly, this paper intends to scrutinize the hypothesized causal relationship between ICT and knowledge creation. Variables for ICT and knowledge creation are taken from World Development Indicators (WDI).To the best of our knowledge, this is the first study of its kind that explicitly constructs an empirical framework for ICT and knowledge creation. Depending on the availability of data, 24 countries have been selected from Asia. Time dimension for the data set is from 1990-2013, yielding a panel data set. To conduct statistical analysis of the relevant variables, we use Pooled Mean Group Estimator (PMGE), Mean Group Estimator (MGE) and Dynamic Fixed Effects Estimator (DFEE).Recommendations are made on the basis of findings from empirical analysis. To nurture knowledge creation in the knowledge society, the role of ICT is found to be positive. For a mature knowledge society, ICT, expenditure in R&D and researchers in R&D have a constructive role.

scholarly journals Informed Geoheritage Conservation: Determinant Analysis Based on Bibliometric and Sustainability Indicators Using Ordination Techniques

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 539
Author(s):  
Boglárka Németh ◽  
Károly Németh ◽  
Jon N. Procter
Keyword(s):  
Correspondence Analysis ◽  
Conservation Planning ◽  
Earth Science ◽  
Multiple Correspondence Analysis ◽  
Contributing Factors ◽  
Usual Model ◽  
Development Indicators ◽  
Individual Variables ◽  
Business As Usual ◽  
World Development

Ordination methods are used in ecological multivariate statistics in order to reduce the number of dimensions and arrange individual variables along environmental variables. Geoheritage designation is a new challenge for conservation planning. Quantification of geoheritage to date is used explicitly for site selection, however, it also carries significant potential to be one of the indicators of sustainable development that is delivered through geosystem services. In order to achieve such a dominant position, geoheritage needs to be included in the business as usual model of conservation planning. Questions about the quantification process that have typically been addressed in geoheritage studies can be answered more directly by their relationships to world development indicators. We aim to relate the major informative geoheritage practices to underlying trends of successful geoheritage implementation through statistical analysis of countries with the highest trackable geoheritage interest. Correspondence analysis (CA) was used to obtain information on how certain indicators bundle together. Multiple correspondence analysis (MCA) was used to detect sets of factors to determine positive geoheritage conservation outcomes. The analysis resulted in ordination diagrams that visualize correlations among determinant variables translated to links between socio-economic background and geoheritage conservation outcomes. Indicators derived from geoheritage-related academic activity and world development metrics show a shift from significant Earth science output toward disciplines of strong international agreement such as tourism, sustainability and biodiversity. Identifying contributing factors to conservation-related decisions helps experts to tailor their proposals for required evidence-based quantification reports and reinforce the scientific significance of geoheritage.

Heterogeneity in the Militarized Interstate Disputes (MIDs), 1816–2001: What Fatal MIDs Cannot Fix

2016 ◽  
Vol 5 (1) ◽  
pp. 189-199 ◽  
Author(s):  
Douglas M. Gibler ◽  
Erin K. Little
Keyword(s):  
Measurement Bias ◽  
Additional Measurement ◽  
Interstate Disputes ◽  
Private Citizens ◽  
Militarized Conflict ◽  
Militarized Interstate Dispute ◽  
Militarized Interstate Disputes

We examine a major source of heterogeneity across cases in the Correlates of War Militarized Interstate Dispute Dataset, 1816–2001, and demonstrate that this variation across cases biases most analyses of conflict. Disputes are coded using two logics—the familiar state-to-state militarized action represents one case while the second relies on sponsor governments to protest state targeting of private citizens. We show that the latter introduces additional measurement bias and does not match well the original conceptualization of what constituted a dispute. The protest-dependent cases are caused by different processes, and omitting them from analyses provides truer estimates of the effects of most conflict predictors. We find that previous controls for heterogeneity in the dispute data—such as using fatal militarized interstate disputes only—substantially underestimates the dangerous effects of contiguity and the pacifying effects of regime similarity. We also show that governments are seldom willing to risk militarized conflict for private citizens during these unique cases. We provide a list of the protest-dependent cases for future conflict analyses.

scholarly journals A Framework for Visualizing Heterogeneous Construction Data Using Semantic Web Standards

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Mostafa Ali ◽  
Yasser Mohamed
Keyword(s):  
Ad Hoc ◽  
3D Visualization ◽  
Heterogeneous Data ◽  
Data Merging ◽  
Levels Of Detail ◽  
Heterogeneous Data Sources ◽  
Web Standards ◽  
Visualization Process ◽  
Merging Process ◽  
Different Sources

3D Visualization provides a mean for communicating different construction activities to diverse audiences. The scope, level of detail, and time resolution of the 3D visualization process are determined based on the targeted audiences. Developing the 3D visualization requires obtaining and merging heterogeneous data from different sources (such as BIM model and CPM schedule). The data merging process is usually carried out on ad hoc basis for a specific visualization case which limits the reusability of the process. This paper discusses a framework for automatic merging of heterogeneous data to create a visualization. The paper describes developing an ontology which captures concepts related to the visualization process. Then, heterogeneous data sources that are commonly used in construction are fed into the ontology which can be queried to produce different visualization scenarios. The potential of this approach has been demonstrated by providing multiple visualization scenarios that cover different audiences, levels of detail, and time resolutions.

Same Evidences, Different Interpretations – A Comparison of the Conflict Index between the Interstate Dyadic Events Data and Militarized Interstate Disputes Data in Peace-Conflict Models

2014 ◽  
Vol 20 (2) ◽  
pp. 347-372
Author(s):  
Scott Y. Lin ◽  
Carlos Seiglie
Keyword(s):  
Regression Analysis ◽  
International Conflict ◽  
Empirical Work ◽  
Interstate Disputes ◽  
Definition Of ◽  
Events Data ◽  
Militarized Interstate Disputes

AbstractStudying the determinants of international conflict, researchers have found a series of influential variables, but few have addressed the robustness of the results to changes in the definition of the dependent variable, conflict. The two main sources for operationalizing conflict in empirical work are data on militarized interstate disputes (MIDs) and events data. In this paper, we find that a χ2-test indicates a correlation between events data and MIDs data. However, detailed regression analysis indicates that there are some contradictory findings depending on whether we use events data as opposed to MIDs data to measure conflict.

scholarly journals Sectoral Analysis of Employment Intensity of Growth in Nigeria

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Rasaki Dauda ◽  
Omowumi Ajeigbe
Keyword(s):  
Service Sector ◽  
Agricultural Sector ◽  
Raw Materials ◽  
Development Indicators ◽  
Sectoral Analysis ◽  
Industrial Sectors ◽  
Agriculture Industry ◽  
Service Sectors ◽  
Employment Generation ◽  
World Development

This study assessed employment intensity of growth (EIG) in the agriculture, industry and service sectors in Nigeria from 1991 to 2019 within the context of Okun’s theory/law. Data from the 2020 World Development Indicators were employed for analysis, using elasticity procedure after decomposing the scope into different periods and regimes. The findings showed negative EIG in the agriculture and industrial sectors while the service sector returned positive EIG. Therefore, government should invest significantly in the service sector while the agricultural sector should be mechanized to boost output and supply of raw materials to industries to enhance employment generation.

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