Identification of temporal fundamental economic structure (FES) of India: An input–output and cross-entropy analysis

Thakur, Sudhir Kumar

doi:10.1016/j.strueco.2007.07.001

Cited by 19 publications

(9 citation statements)

References 24 publications

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“…This research is novel and is the first attempt to identify and interpret the regional economic structure of the Indian economy using the FES approach. The author in an earlier study identified a temporal FES for Indian economy for the period 1968-90 (Thakur 2008). This research addresses the following questions: (1) Does the regional FES exist at predictable levels and can it be identified for the period 1965?…”

Section: Types Of Fundamental Economic Structure (Fes)mentioning

confidence: 99%

Identification of Regional Fundamental Economic Structure (FES) of India: An Input-Output and Field of Influence Approach

Thakur¹

2010

The Rise of China and India

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This study provides an understanding of the Indian regional economy utilizing the fundamental economic structure (FES) approach. The FES construct implies that selected characteristics of an economy will vary predictably with region size, as measured by net state domestic product, population, and total gross output. The big question addressed in this study is if identifiable patterns of relations between various macro aggregates and economic transactions can be revealed via regional input-output tables. Jensen et al. (1988) discuss the tiered, partitioned, and temporal approaches to the identification of FES using input-output tables. This research addresses the following four questions: (1) Does a regional FES exist for the Indian economy during the period 1965? (2) What proportions of the cells are predictable? (3) Can the 1965 regional FES predict 1983-84 table for Punjab economy? (4) Does regional FES manifest an enhanced understanding of the Indian regional structure? Regression analyses are used to identify the FES and non-FES cells for the Indian regional economy. The regional input-output tables for 21 States and Union Territories provide data for the analysis. Analysis reveals regional FES includes primary and secondary sectors as components of FES. This research has extended the notion of FES to include: weak, moderate and strong FES cells.

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Section: Types Of Fundamental Economic Structure (Fes)mentioning

confidence: 99%

Identification of Regional Fundamental Economic Structure (FES) of India: An Input-Output and Field of Influence Approach

Thakur¹

2010

The Rise of China and India

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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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“…The industrial sectоr was defined as technоlоgically advanced with high levels оf investment оperating in an urban envirоnment. Syrquin (1988) identified three stages оf structural transfоrmatiоn in the evоlutiоn оf ecоnоmies: the first stage fоcuses оn primary prоductiоn; the secоnd stage fоcuses оn shifts tоwards the manufacturing sectоr, and during the third stage the share оf service sectоr increases alоng with expоrts (Thakur 2008).…”

Section: Research Methоdоlоgymentioning

confidence: 99%

Structural Changes of Economies: Lithuania in the Global Context

Dudzevičiūtė

Mačiulis²,

Tvaronavičienė

2014

Technological and Economic Development of Economy

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Structural economic change theory focuses on the process through which economic structures have been transformed from traditional agriculture economy to more modern and industrially diverse manufacturing and service ones. The purpose of this paper is to detect the pattern of structural changes of the Lithuanian economy and to evaluate it in the global context. Structural economic statistics of the countries provide a view of a particular year delivered by indicator of the level of output in a considered sector of selected country’s economy. Research methodology is based on the classic three-sector model, which involves structural changes’ assessment methods and comparative analysis of statistical data on economic structures. The main findings reveal peculiarities of the structural change tendencies of the Lithuanian economy in the global context. First of all, the economies of selected countries are being analyzed from the point of view of three-sectoral divisions, such as agriculture, industry and services; the authors highlight the main tendencies of global economy taken by regions. After further in-depth analysis of the Lithuanian economic structural changes’ assessment in the context of the other countries (regions) has been carried out and new evidence on patterns of structural change has been provided, concluding remarks have been formulated. Authors provide insights about peculiarities of Lithuanian economy’s structural changes, which could potentially lead to respective policy implications, ultimately aiming acceleration of economic development.

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Identification of temporal fundamental economic structure (FES) of India: An input–output and cross-entropy analysis

Cited by 19 publications

References 24 publications

Identification of Regional Fundamental Economic Structure (FES) of India: An Input-Output and Field of Influence Approach

Identification of Regional Fundamental Economic Structure (FES) of India: An Input-Output and Field of Influence Approach

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

Structural Changes of Economies: Lithuania in the Global Context

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