scholarly journals THE INPUT-OUTPUT MODELS OF THE REGIONAL ANALYSIS AND FORECASTING

Author(s):  
Z. B.-D. Dondokov
1975 ◽  
Vol 7 (2) ◽  
pp. 61-67 ◽  
Author(s):  
Bill R. Miller ◽  
Peng Li Liu

Regional analysis has been accepted as a subdiscipline of economics. The signal importance and outlines of the discipline were perhaps most clearly stated in a survey by Meyer in 1965: He asserted that the most characteristic feature of regional analysis was its pragmatic origin. Regional analytic models seem to have grown out of needs to understand and analyze regional problems, despite significant conceptual and data problems. Conceptually, all classical economic theory is involved. In addition, more modern dimensions of location and equilibrium of multiple economies must be confronted. Data problems are magnified by the spatial dimension, since the accounting series implied for most aggregate analysis is available only on a national basis.


1998 ◽  
Vol 30 (6) ◽  
pp. 1125-1128 ◽  
Author(s):  
A T Murray

The aggregation of industry sectors in input-output modeling is a common step in a regional analysis process. The author develops an optimization-based approach for identifying aggregation schemes which minimize the resulting error or information loss. Example problems previously reported in the literature are utilized for demonstrating the effectiveness of this approach and point out the shortcomings of previously reported results.


Author(s):  
William H. Miernyk ◽  
Benjamin H. Stevens ◽  
R.C. Jensen ◽  
Hugh W. Knox ◽  
Jeffrey I. Round ◽  
...  

2017 ◽  
Vol 29 (2) ◽  
pp. 275-295 ◽  
Author(s):  
Manfred Lenzen ◽  
Arne Geschke ◽  
Arunima Malik ◽  
Jacob Fry ◽  
Joe Lane ◽  
...  

1981 ◽  
Vol 13 (4) ◽  
pp. 487-496 ◽  
Author(s):  
C F Socher

Input–output tables have been used extensively in regional analysis. The cost of constructing survey-based models, however, often forces the practitioner to use models based upon secondary information. This paper attempts to determine the seriousness of using a state table from the multiregional input–output (MRIO) model for the USA in lieu of a survey-based model. By means of data for West Virginia and Kansas, input and supply coefficients and output and supply multipliers are examined. The comparisons indicate that the structures embodied within the MRIO models differ significantly from those within the survey-based models.


2021 ◽  
Author(s):  
Rocío Román-Collado ◽  
MARÍA TERESA MTS SANZ-DÍAZ ◽  
Cristian Germán Loja Pacheco

Abstract Globally, interest in the environment and its conservation is growing and primordial. In particular, CO 2 emissions generated by productive processes in a given territory in order to satisfy own and global consumption. Two types of responsibilities stand out, the producer’s and the consumer’s. Based on the Multi-regional Input-Output Methodology, this study determined Ecuador's responsibility in terms of CO 2 emissions, defining the economic sectors that have the greatest representation in these emissions, as well as establishing an assessment at the level of the Trade Balance. There has been a strong growth of Ecuador’s Footprint of 145.26% from 2000 to 2015, with the transport and secondary sectors having the highest representation and the trade with the BRICS nations standing out. This results strengthens the need to foster a change in the population’s and the public administrations’ consumption patterns. So it is recommended that the authorities allocate part of the public budget to measures oriented to sustainable consumption.


2009 ◽  
Vol 51 (1) ◽  
pp. 13-55 ◽  
Author(s):  
I. Bergeron ◽  
T. Matuszewski

This article presents a methodology which draws heavily on the philosophy of the Input-Output models and having been made completely operational has already been used on three occasions in two countries for the purposes of regional development of construction materials industries. This methodology, or more precisely the strictly formalized part of it is an extension of that of rectangular Input-Output models with modifiable coefficients. Thus, not surprisingly, it resembles fairly closely the approach by simulation, although the proposed model contains some simple optimizing sub-models. While obviously normative, these sub-models play a descriptive rôle in the model as a whole. It is to be noted that the approach presented here can be applied to only one sector of the economy at a time. What is more, although capable of various extensions it will never be more than an auxiliary instrument destined to be used jointly with other analysis and planning instruments. It is vital for any valid regional analysis not to restrict its investigations exclusively to what goes on in the region directly concerned. Even if the objective of the analysis is limited to a single region, one must take into account the interrelations between regions within the national economy and with foreign economies: important feedbacks affecting the region concerned may on occasion travel far beyond its limits before returning. The type of a model presented here, thanks to a great number of interrelations of which it can systematically keep track may turn out to be particularly useful here.


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