917 resultados para Imput-output tables
Resumo:
It is a well-established fact in the literature on simulating Input-Output tables that mechanical methods for estimating intermediate trade lead to biased results where cross-hauling is underestimated and Type-I multipliers are overstated. Repeated findings to this effect have led to a primary emphasis on advocating the accurate estimation of intermediate trade flows. This paper reviews previous research and argues for a qualification of the consensus view: When simulating IO tables, construction approaches need to consider spill-over effects driven by wage and consumption flows. In particular, for the case of metropolitan economies, wage and consumption flows are important if accurate Type-II multipliers are to be obtained. This is demonstrated by constructing an interregional Input-Output table, which captures interdependencies between a city and its commuter belt, nested within the wider regional economy. In addition to identifying interdependencies caused by interregional intermediate purchases, data on subregional household incomes and commuter flows are used to identify interdependencies from wage payments and household consumption. The construction of the table is varied around a range of assumptions on intermediate trade and household consumption to capture the sensitivity of multipliers.
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Structural decomposition techniques based on input-output table have become a widely used tool for analyzing long term economic growth. However, due to limitations of data, such techniques have never been applied to China's regional economies. Fortunately, in 2003, China's Interregional Input-Output Table for 1987 and Multi-regional Input-Output Table for 1997 were published, making decomposition analysis of China's regional economies possible. This paper first estimates the interregional input-output table in constant price by using an alternative approach: the Grid-Search method, and then applies the standard input-output decomposition technique to China's regional economies for 1987-97. Based on the decomposition results, the contributions to output growth of different factors are summarized at the regional and industrial level. Furthermore, interdependence between China's regional economies is measured and explained by aggregating the decomposition factors into the intraregional multiplier-related effect, the feedback-related effect, and the spillover-related effect. Finally, the performance of China's industrial and regional development policies implemented in the 1990s is briefly discussed based on the analytical results of the paper.
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This study aims to examine the international value distribution structure among major East Asian economies and the US. The mainstream trade theory explains the gains from trade; however, global value chain (GVC) approach emphasises uneven benefits of globalization among trading partners. The present study is mainly based on this view, examining which economy gains the most and which the least from the East Asian production networks. Two key industries, i.e., electronics and automobile, are our principle focus. Input-output method is employed to trace the creation and flows of value-added within the region. A striking fact is that some ASEAN economies increasingly reduce their shares of value-added, taken by developed countries, particularly by Japan. Policy implications are discussed in the final section.
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International input-output tables are among the most useful tools for economic analysis. Since these tables provide detailed information about international production networks, they have recently attracted considerable attention in research on spatial economics, global value chains, and issues relating to trade in value-added. The Institute of Developing Economies at the Japan External Trade Organization (IDE-JETRO) has more than 40 years of experience in the construction and analysis of international input-output tables. This paper explains the development of IDE-JETRO’s multi-regional input-output projects including the construction of the Asian International Input-Output table and the Transnational Interregional Input-Output table between China and Japan. To help users understand the features of the tables, this paper also gives examples of their application.
Resumo:
Despite the fact that input–output (IO) tables form a central part of the System of National Accounts, each individual country's national IO table exhibits more or less different features and characteristics, reflecting the country's socioeconomic idiosyncrasies. Consequently, the compilers of a multi-regional input–output table (MRIOT) are advised to thoroughly examine the conceptual as well as methodological differences among countries in the estimation of basic statistics for national IO tables and, if necessary, to carry out pre-adjustment of these tables into a common format prior to the MRIOT compilation. The objective of this study is to provide a practical guide for harmonizing national IO tables to construct a consistent MRIOT, referring to the adjustment practices used by the Institute of Developing Economies, JETRO (IDE-JETRO) in compiling the Asian International Input–Output Table.
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This paper describes how the education sector of the Scottish Input-Output tables is disaggregated to identify a separate sector for each of Scotland’s twenty Higher Education Institutions (HEIs). The process draws on accounting and survey data to accurately determine the incomes and expenditures of each institution. In particular we emphasise determining the HEIs incomes source of origin to inform their treatment, as endogenous or exogenous, in subsequent analyses. The HEI-disaggregated Input- Output table provides a useful descriptive snapshot of the Scottish economy and the role of HEIs within it for a particular year, 2006. The table can be used to derive multipliers and conduct various impact studies of each institution or the sector as a whole. The table is furthermore useful to calibrate other multi-sectoral, HEI disaggregated models of regional economies, including Social Accounting Matrix (SAM) and computable general equilibrium (CGE) models.
Resumo:
This paper describes how the education sector of the Welsh Input-Output tables is disaggregated to identify a separate sector for each of Wales’s twelve Higher Education Institutions (HEIs). The process draws on accounting and survey data to accurately determine the incomes and expenditures of each institution. In particular we emphasise determining the HEIs incomes source of origin to inform their treatment, as endogenous or exogenous, in subsequent analyses. The HEI-disaggregated Input-Output table provides a useful descriptive snapshot of the Welsh economy and the role of HEIs within it for a particular year, 2006. The table can be used to derive multipliers and conduct various impact studies of each institution or the sector as a whole. The table is furthermore useful to calibrate other multi-sectoral, HEI-disaggregated models of regional economies, including Social Accounting Matrix (SAM) and computable general equilibrium (CGE) models.
Resumo:
In an input-output context the impact of any particular industrial sector is commonly measured in terms of the output multiplier for that industry. Although such measures are routinely calculated and often used to guide regional industrial policy the behaviour of such measures over time is an area that has attracted little academic study. The output multipliers derived from any one table will have a distribution; for some industries the multiplier will be relatively high, for some it will be relatively low. The recentpublication of consistent input-output tables for the Scottish economy makes it possible to examine trends in this mdistribution over the ten year period 1998-2007. This is done by comparing the means and other summary measures of the distributions, the histograms and the cumulative densities. The results indicate a tendency for the multipliers to increase over the period. A Markov chain modelling approach suggests that this drift is a slow but long term phenomenon which appears not to tend to an equilibrium state. The prime reason for the increase in the output multipliers is traced to a decline in the relative importance of imported (both from the rest of the UK and the rest of the world) intermediate inputs used by Scottish industries. This suggests that models calibrated on the set of tables might have to be interpreted with caution.
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Trata de conocer hasta qué punto la valoración académica de un individuo incide en la vida posterior del mismo, es decir, cuál puede ser el rendimiento de una persona en función del proceso educativo que haya seguido. Alumnos de cuarto de Bachiller, de edad comprendida entre 13 y 14 años que realizaron sus estudios en Cheste durante los cursos académicos de 1970-1971 y 1971-1972, con el Plan vigente de 1967. En total son 681 alumnos de los cuales el 53,86 por ciento pertenecen a zonas rurales y el 46,14 por ciento a zona urbana. En primer lugar trata teoriza sobre los estudios realizados de caracter input-output, tanto en el campo de la psicología como de la educación siendo consciente de esta forma de los problemas que los mismos dan y a los que deberá enfrentarse, posteriormente plantea el estudio realizando la investigación, seleccionando las variables que pretende estudiar, recogiendo datos , codificándolos, escogiendo una muestra de población y aplicando dichas variables para poder llegar a las conclusiones que finalmente ofrece el estudio y abriendo puertas a otros de las mismas carcterísticas. Encuesta, cuestionario, entrevista personal, test (AMPE). Variables input, dentro de las cuales se encuentran las variables estado (datos psicológicos), y las variables de flujo (rendimiento académico). Como variables psicológicas se consideran la actitud para el estudio, personalidad paranoide versus control, capacidad intelectual, extraversión. Como variables de rendimiento se estudia el rendimiento en cuarto de bachiller, el rendimiento en tercero de bachiller y destrezas físico-deportivas. Como variables de salida output se considera la situación laboral ocupacional, situación personal, situación económica y situación social. Análisis factorial, regresión múltiple, correlación de Pearson, análisis imput-output. Los resultados se encuentran implícitos en las siguientes conclusiones: 1) Los componenenes académicos influyen poco en la vida posterior del sujeto, si bien marcan o detectan en algún sentido su situación social convivencial sobre los demás aspectos. Ello nos induce a pensar que en el aula se califican a la vez que conocimientos, los comportamientos sociales. 2)Los componentes psicológicos influyen más en la situación personal entre los outpurs considerados 3)En el análisis input-output hay que destacar que los outputs no se explican en su totalidad con los inputs que hemos estudiado, lo que destaca la introduccion de muchas otras variables en la consideración de los aspectos tratados y éstas en gran cantidad.
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Includes bibliography