Identification of regional fundamental economic structure (FES) of Chilean economy: A field of influence approach

Thakur, Sudhir Kumar; Alvayay, Jaime R.

doi:10.1016/j.strueco.2011.10.004

Cited by 12 publications

(11 citation statements)

References 20 publications

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“…For the 1976 Tangshan earthquake, as Figure 6b shows, there is an explicit transformation among the inter-sectoral relationships among industries, especially in the shift from a low-income agricultural economy to a high-income urban-industrial economy. As the complexity of the economy becomes greater (Hewings et al 1988), the relationship between sector linkages and economic development will become intricate too (Thakur and Alvayay 2012). However, when the cost of reconstruction spending is shifted to the region's victims (e.g., when the economic conditions are back to “normal” with no preferential policies and outside aid), the gains from rebuilding are offset by reduced household spending (Cochrane 1997).…”

Section: Discussionmentioning

confidence: 99%

Post-Disaster Recovery and Economic Impact of Catastrophes in China

Xie

et al. 2014

Earthquake Spectra

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This paper implements a temporal–spatial recovery measurement of the catastrophic 1976 Tangshan earthquake using available statistical data. The results show that the gross regional product (GRP) level of the Tangshan region achieved a new normality after seven years. During this recovery process, net indirect losses totaled RMB3.7 billion and net indirect gains totaled RMB3.9 billion at the 2007 price level. The area surrounding the Tangshan region benefited from the disaster, both in terms of GRP level and per capita GRP level, at least in the short term. The sector-level economic recovery process seems longer. The production level of the construction sector was 0.9 to 2.5 times that of the pre-disaster level during its 11-year recovery period. The per capita GRP level of the Tangshan region was 1.7 times that of pre-earthquake 30 years later. This quantitative disaster recovery analysis is critical for validating or initializing economic loss estimation models.

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Section: Discussionmentioning

confidence: 99%

Post-Disaster Recovery and Economic Impact of Catastrophes in China

Xie

et al. 2014

Earthquake Spectra

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“…According to economic theory, real estate demand is a function of real estate price and economic fundamentals—nominal GDP (NGDP) and a set of other exogenous variables X such as population density (PD) and the lending interest rate (LI). According to Jensen (1991) [ 20 ] and Thakur (2008, 2011) [ 21 – 22 ], economic fundamentals indicate the predictable economic size in a certain region, which can be tied to a number of key variables, such as gross product, population, and total gross output. Here we employ NGDP as the key variable, because it not only directly explains the economic size and economic development level, but also contains the inflation of prices.…”

Section: Theoretical Measurement Model For Real Estate Bubble Sizementioning

confidence: 99%

A measurement model for real estate bubble size based on the panel data analysis: An empirical case study

Liu

Malekian

et al. 2017

PLoS ONE

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Employing the fundamental value of real estate determined by the economic fundamentals, a measurement model for real estate bubble size is established based on the panel data analysis. Using this model, real estate bubble sizes in various regions in Japan in the late 1980s and in recent China are examined. Two panel models for Japan provide results, which are consistent with the reality in the 1980s where a commercial land price bubble appeared in most area and was much larger than that of residential land. This provides evidence of the reliability of our model, overcoming the limit of existing literature with this method. The same models for housing prices in China at both the provincial and city levels show that contrary to the concern of serious housing price bubble in China, over-valuing in recent China is much smaller than that in 1980s Japan.

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“…El desarrollo se manifiesta por la complejidad industrial (Leontief, 1963: 148-149), proceso secuencial de umbrales de especialización (Imbs y Wacziarg, 2003: 85), estructuras fundamentales, acorde a su etapa de desarrollo y escala geográfica (Hewings et al (1998: 220 y 232); Hewings et al (1988: 34); West y Brown (2003: 39), Thakur, 2012Thakur, : 94, 20112008a: 133 y 134, y 2008b,…”

Section: Análisis D E Lo S C E N T Ros P R I M a D Osunclassified

Análisis de los centros primados vinculados al turismo en el Parque Nacional Puyehue

Seminara

Urrutia

Aroca

2016

Rev. geogr. Norte Gd.

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RESUMENEn este artículo se analizó la coherencia funcional entre el desarrollo del turismo en la norpatagonia (Parque Nacional Puyehue) y las estructuras económicas de los Centros Primados de las regiones de Los Ríos (Valdivia) y Los Lagos (Osorno y Puerto Montt) para los años 2012 y 2007. La investigación respondió a: ¿el cambio estructural es funcional al Parque?; y, ¿la funcionalidad de los centros del área de influencia al Parque (Lago Ranco, Río Bueno, Entre Lagos y Puerto Octay), posibilitan la actividad turística hacia el Parque?. La dinámica estructural y funcional se indagan utilizando: Técnicas Input-Output (Campos de Influencia), Flujos de Trabajadores (Conmutación), la Localización (Teoría Gráfi-ca) y el Modelo de Davies (Funcionalidad). Los resultados revelan; cambios estructurales incoherentes con la funcionalidad de cada subsistema respecto al parque y su entorno y; precariedad, insuficiencia y escasa diversificación de actividades turísticas hacia la periferia occidental del parque.Palabras clave: Análisis Input-Output, Campos de Influencia (CdI), Funcionalidad. ABSTRACTThe functional coherence of the productive system associated to the Puyehue National Park (Chilean North Patagonia) is analyzed, in order to evaluate if the changes in the economic structure of the main centers of the regions: Los Rios (Valdivia) and Los Lagos (Osorno y Puerto Montt) in the years 2007 and 2012 era promoting the park development. Field of influence, commuting analysis and Davies model are used jointly to study the functional dynamic, economic structure, labor mobility and functionality of the location of the Park and the primal center of its neighbor regions. The results show that the changes in the economic structure had improve the main sectors of the centers, weakening the potential development of the Park. Especially the lacks of connectivity development and the small supply of good and services of the Park are the main constraint that arise from the analysis to increase the number and length of visits. The information generate in the paper should be a key input in designing a policy focus of promoting the developed of the Chilean Puyehue National Park.

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Identification of regional fundamental economic structure (FES) of Chilean economy: A field of influence approach

Cited by 12 publications

References 20 publications

Post-Disaster Recovery and Economic Impact of Catastrophes in China

Post-Disaster Recovery and Economic Impact of Catastrophes in China

A measurement model for real estate bubble size based on the panel data analysis: An empirical case study

Análisis de los centros primados vinculados al turismo en el Parque Nacional Puyehue

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