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In June 23, 2016, voters in the United Kingdom have just approved a referendum calling for leaving the European Union. The case describes the motives for European integration, the rise of separatist movements in the United Kingdom and elsewhere, and the referendum process itself.

The purpose of this case is to provide a contemporary counterpoint to a discussion of the economic and political motivations for the American Civil War. Dominant themes highlighted here are economic nationalism, political nationalism, cultural centrism and ethnocentrism, and populism.

This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.

The purpose of this study is to examine and identify the predominant themes in the literature on economic freedom. The paper also highlights the key journals, leading authors, top countries and organisations in the literature on economic freedom.

This paper uses the Scopus database to examine 1,512 articles covering the disciplines of economics, finance, business and social sciences from 1942 to 2022. Vosviewer software is used for creating bibliometric networks.

The findings suggest that significant growth in the economic freedom literature has occurred in the last ten years. Considerable attention has been devoted to examining the relationship between economic freedom and growth. The paper also finds that most of the research on economic freedom has been undertaken in the context of developed countries.

This study is one of the first attempts to undertake a bibliometric analysis of economic freedom. The article also highlights the less-researched areas in the literature and thus provides directions for future research.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0690.

The purpose of this study is to analyze the horizontal expansion of Burayu Town between 1990 and 2020. The study typically acts as a baseline for integrated spatial planning in small- and medium-sized towns, which will help to plan sustainable utilization of land.

Landsat5-TM, Landsat7 ETM+, Landsat5 TM and Landsat8 OLI were used in the study, along with other auxiliary data. The LULC map classifications were generated using the Random Forest Package from the Comprehensive R Archive Network. Post-classification, spatial metrics, and per capita land consumption rate were used to understand the manner and rate of expansion of Burayu Town. Focus group discussions and key informant interviews were also used to validate land use classes through triangulation.

The study found that the built-up area was the most dynamic LULC category (85.1%) as it increased by over 4,000 ha between 1990 and 2020. Furthermore, population increase did not result in density increase as per capita land consumption increased from 0.024 to 0.040 during the same period.

As a result of financial limitations, there were no high-resolution satellite images available, making it challenging to pinpoint the truth as it is on the ground. Including senior citizens in the study region allowed this study to overcome these restrictions and detect every type of land use and cover.

Data on urban growth are useful for planning land uses, estimating growth rates and advising the government on how best to use land. This can be achieved by monitoring and reviewing development plans using satellite imaging data and GIS tools.

The use of Random Forest for image classification and the employment of local knowledge to validate the accuracy of land cover classification is a novel approach to properly customize remote sensing applications.