Input–Output Models at the Regional Level

2021 ◽  
pp. 63-111
Keyword(s):  
Regional Level ◽  
Input Output

Input–Output Models at the Regional Level

2010 ◽  
pp. 69-118
Author(s):  
Ronald E. Miller ◽  
Peter D. Blair
Keyword(s):  
Regional Level ◽  
Input Output

Economic Impact of the Health Sector on the Regional Level – Case of a Small, Open Economy

2021 ◽  
Vol 19 (3) ◽  
pp. 621-658
Author(s):  
Timotej Jagrič ◽  
Johnathan C. Mun ◽  
Christine Elisabeth Brown ◽  
Dusan Fister
Keyword(s):  
Open Economy ◽  
Missing Values ◽  
National Level ◽  
Small Open Economy ◽  
Health Sector ◽  
Value Added ◽  
Population Based ◽  
Regional Level ◽  
Input Output ◽  
Middle Income

A GRIT methodology (Generation of Regional Input-Output Tables) to generate and analyze regional input-output tables is applied for a small, middle-income nation, where the single national input-output table is partitioned into numerous regional tables. Missing values data are imputed using an evolutionary stochastic population-based nature-inspired optimization algorithm with self-adapting control parameters and exogenous superior data are introduced as well. A nonsurvey study is carried for each regional economy by computing various multipliers, such as output, income, value-added, employment, and import multipliers, and outlining financial properties, development, and interconnections of the various regions in Slovenia. Finally, the effects of financing the regional healthcare sectors are examined. Empirical evidence that healthcare industry sectors are extraordinarily important at the regional level and thus necessary to deliver a favorable impact on the national production of Slovenia in future, can be used for forthcoming economic policies planning at regional and national level.

OPTIMASI SPASIAL SEKTOR UNGGULAN PADA ANALISIS SEMI INPUT–OUTPUT: STUDI KASUS PROVINSI JAWA TIMUR

2016 ◽  
Vol 2 (2) ◽  
pp. 105
Author(s):  
Rifa Diana Yuliyanti ◽  
Raldi Hendro Koestoer
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Natural Resources ◽  
Spatial Dimension ◽  
Regional Level ◽  
Regional Economic Growth ◽  
Input Output ◽  
Location Quotient ◽  
Export Sector ◽  
Combination Approach

<p>East Java Province has a relatively complex region therefore challenges to promote and Encourage the regional economic growth are escalated. One of the technique to improve is through a search of their leading sector that reflects real effective and efficient robust export sector. Meanwhile, the distribution of the strongest tradable and export-led sector in provincial regional level remains limited for economic development study, this research attempts to explore it in provincial regional level for two periods of Input-Output (I-O) analysis.The research observed the movement of sector value from I-O analysis in 2006 tothe year 2010’s I-O analysis. Combination approach performed with I-O analysis that separates between the tradable and nontradable group of sectors formerly which is called Semi InputOutput. Followed by modification of ‘flow-on effects’multiplier and Location Quotient that represent the spatial dimension of the sector, the spatial–regional base distribution expresses subtly the result of the leading sector in defining natural resources capacity which is available through its distribution.<br /><strong></strong></p><p><strong>Keywords</strong> : Spatial; Input-Output; Semi Input-Output; Location Quotient; Flow-on effects; Tradable</p>

The Effect of Aggregation on the Empirical Identification of Key Sectors in a Regional Economy: A Partial Evaluation of Alternative Techniques

1974 ◽  
Vol 6 (4) ◽  
pp. 439-453 ◽  
Author(s):  
G J D Hewings
Keyword(s):  
Regional Economy ◽  
Partial Evaluation ◽  
Washington State ◽  
Regional Level ◽  
Regional Economies ◽  
Careful Attention ◽  
Input Output ◽  
Key Sectors ◽  
Alternative Techniques ◽  
Open Nature

The open nature of regional economies requires that careful attention be paid to the magnitude of intraregional interindustry relationships when decisions about the allocation of investment are made. A number of methods have been proposed for the purposes of identifying key sectors in a national economy using input–output models. This research reports on attempts to identify key sectors at the regional level using the 1963 and 1967 Washington State input–output models at various levels of aggregation. The lack of consistency of identification of key sectors by the various methods suggests that these approaches have limited utility at the regional level.

The rise of the sharing economy: Guesthouse boom and the crowding-out effects of tourism in Lisbon

2019 ◽  
Vol 26 (3) ◽  
pp. 389-403 ◽  
Author(s):  
João-Pedro Ferreira ◽  
Pedro N Ramos ◽  
Michael L Lahr
Keyword(s):  
Economic Impacts ◽  
Regional Distribution ◽  
Sharing Economy ◽  
Regional Level ◽  
Economic Consequences ◽  
Urban Residents ◽  
Crowding Out ◽  
Input Output ◽  
City Center ◽  
The City

At the urban scale, tourism activities can compete for spaces formerly used by housing and rendering opposing structured economic consequences. As tourism can generate jobs, there is the idea among urban residents that they can become victim of tourism increase. In this work, we apply a multiregional input–output model to assess the economic impacts of guesthouse boom in Lisbon city according to three scenarios and a hypothetical distribution of residential choices between the center and the periphery. This is particularly poignant because the supply of guesthouse units has risen from 100 in 2010 to more than 10,000 units in 2018. We find that Lisbon guesthouses were responsible by creating a total of more than 29,400 jobs nationwide and by increasing the national gross domestic product by 0.5%. At the regional level, only about 50% of the positive economic impacts of tourism were retained by Lisbon—the rest is split between the city’s suburbs and the rest of the country. Also, we conclude that the regional distribution of gains becomes even more unbalanced if the city center observes a large exodus of its residents to the periphery.

scholarly journals Comparing Bioeconomy Potential at National vs. Regional Level Employing Input-Output Modeling

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1714
Author(s):  
Piotr Jurga ◽  
Efstratios Loizou ◽  
Stelios Rozakis
Keyword(s):  
Development Strategy ◽  
National Level ◽  
Regional Level ◽  
The European Union ◽  
Input Output ◽  
Economic Sectors ◽  
Survey Techniques ◽  
Country Level ◽  
National Model ◽  
National Economies

The support of economic sectors that exploit natural bio-based resources in a particular region is an opportunity to benefit from local potentials in terms of sustainability, employment, output, and household income. Hence a relevant question emerges, namely, how can bioeconomy sectors be adequately supported? Within this context, another issue is whether the bioeconomy development strategy at a national level should be the same as that at a regional level. To address these issues, in the current study a comparison was made between the bioeconomy sectors at the country level based on the case study of Poland and one of the poorest regions in the European Union—the Lubelskie Region. A regional input–output model was built for the regional economy and compared with the national model. The bioeconomy-oriented regional input–output table was built by applying a hybrid regionalization method, combining non-survey techniques and a questionnaire survey that was carried out in companies of mixed bio-based sectors. Sectoral linkages, such as multipliers and elasticities, indicate notable differences among the bio-based sectors’ potentials of the regional and national economies. Therefore, a bioeconomy development strategy should be seen to differ at national and regional levels.

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