Defining local economies beyond their boundaries

Salder, Jacob

doi:10.1080/03003930.2020.1870957

Cited by 3 publications

(1 citation statement)

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“…The domain of the local economy encompasses several disciplines such as Economics, Planning, and Marketing. The local economy can be defined as a regional state of economic transactions within a specific geographical area (Salder, 2021). However, at present, globalization, competitiveness, and entrepreneurship are having a huge impact on economic development, irrespective of their scale—local or global.…”

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confidence: 99%

Local Economy as the Key Driver of Urbanization in the Indian Sundarbans

Sarkar,

Samanta

2023

Environment and Urbanization ASIA

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The relationship between local economic development and urbanization is a vital policy concern across the world, especially in the developing countries. The local economy exhibits enormous potential in the process of transformation of a rural area into an urban one. Based on the theoretical discourse of planetary and subaltern urbanization, this article explores the role of the local economy, even in the form of banal activities, in the process of urbanization of the Indian Sundarbans, a highly vulnerable part of the Ganga–Brahmaputra delta. For this study, we have relied on two facets of local economy—that of the local market centres, and the household economy of small towns. In the local market analysis, we have analysed market details such as the growth story of entrepreneurs, the function of shops in providing services and in developing their own profit level for sustenance and further growth. Household economy has been analysed from the perspective of changes in the occupational structure, nature of employment and household income in order to understand the surplus generation and reinvestment of the same as the local capital. This article is based on an intensive field survey that used the stratified random sampling method. A total number of 240 households and 100 shops have been surveyed from four towns. Both quantitative and qualitative methods of data collection have been followed. The article argues that the local economy plays a key role in the urbanization process of the Indian Sundarbans, as the regional economy is gradually shifting from the farm to non-farm activities.

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Section: Introductionmentioning

confidence: 99%

Local Economy as the Key Driver of Urbanization in the Indian Sundarbans

Sarkar,

Samanta

2023

Environment and Urbanization ASIA

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Strategic intelligence for the future of places: enabling inclusive economic growth through the Opportunity Areas Analysis Tool

Kitagawa

Vidmar

2022

Regional Studies

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Mapping the Frontier: A Bibliometric Analysis of Artificial Intelligence Applications in Local and Regional Studies

Delcea,

Nica,

Ionescu

et al. 2024

Algorithms

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This study aims to provide a comprehensive bibliometric analysis covering the common areas between artificial intelligence (AI) applications and research focused on local or regional contexts. The analysis covers the period between the year 2002 and the year 2023, utilizing data sourced from the Web of Science database. Employing the Bibliometrix package within RStudio and VOSviewer software, the study identifies a significant increase in AI-related publications, with an annual growth rate of 22.67%. Notably, key journals such as Remote Sensing, PLOS ONE, and Sustainability rank among the top contributing sources. From the perspective of prominent contributing affiliations, institutions like Duy Tan University, Ton Duc Thang University, and the Chinese Academy of Sciences emerge as leading contributors, with Vietnam, Portugal, and China being the countries with the highest citation counts. Furthermore, a word cloud analysis is able to highlight the recurring keywords, including “model”, “classification”, “prediction”, “logistic regression”, “innovation”, “performance”, “random forest”, “impact”, “machine learning”, “artificial intelligence”, and “deep learning”. The co-occurrence network analysis reveals five clusters, amongst them being “artificial neural network”, “regional development”, “climate change”, “regional economy”, “management”, “technology”, “risk”, and “fuzzy inference system”. Our findings support the fact that AI is increasingly employed to address complex regional challenges, such as resource management and urban planning. AI applications, including machine learning algorithms and neural networks, have become essential for optimizing processes and decision-making at the local level. The study concludes with the fact that while AI holds vast potential for transforming local and regional research, ongoing international collaboration and the development of adaptable AI models are essential for maximizing the benefits of these technologies. Such efforts will ensure the effective implementation of AI in diverse contexts, thereby supporting sustainable regional development.

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Defining local economies beyond their boundaries

Cited by 3 publications

References 50 publications

Local Economy as the Key Driver of Urbanization in the Indian Sundarbans

Local Economy as the Key Driver of Urbanization in the Indian Sundarbans

Strategic intelligence for the future of places: enabling inclusive economic growth through the Opportunity Areas Analysis Tool

Mapping the Frontier: A Bibliometric Analysis of Artificial Intelligence Applications in Local and Regional Studies

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