The pollution input-output matrix

Author(s):  
B. E. M. G. Coupé
Keyword(s):  
2021 ◽  
Vol 19 (8) ◽  
pp. 1568-1592
Author(s):  
Nikolai I. KURYSHEV

Subject. This article deals with the problem of constructing a Leontief's input–output matrix. Objectives. The article aims to determine the rules for constructing a Leontief's input–output matrix on the basis of data on production time and quantity of product output. Methods. For the study, I used the methods of logical and mathematical analyses. Results. The article formulates the rules for constructing a Leontief's input–output matrix, taking into account differences in the time of production, quantity of output, as well as the conditions for the reproduction of the resources expended. It summarizes these rules for the J. von Neumann model. Conclusions. The proposed approach to the analysis of the material mechanism of economic reproduction defines the relationship between the quantitative and cost characteristics of the production and consumption of products and resources. This relationship opens up new opportunities for the application of input–output models to create simple and accurate algorithms for identifying and predicting the macroeconomic trends.


2021 ◽  
Vol 19 (12) ◽  
pp. 2360-2383
Author(s):  
Denis A. GOVORKOV ◽  
Viktor P. NOVIKOV ◽  
Il'ya G. SOLOV'EV ◽  
Vladimir R. TSIBUL'SKII

Subject. This article deals with the control and management aspects of regional development on the basis of Leontief’s balance model. Objectives. The article aims to develop schemes for stable estimation of aggregate parameters of region balance models based on a shortened sample of input-output statistical data and rules for their subsequent regularization. Methods. For the study, we used multiple forms of regional economic balance model transformation based on the aggregation of data of the selected regional subsystems. Results. The primary estimates of aggregate input-output matrix for the southern regions of the Tyumen Oblast were obtained from the statistical input-output data for 2014–2018. To comply with the productivity conditions, additional information was introduced into the estimation algorithm reflecting the balance dependence for the reference input-output matrix for the Russian Federation and for the southern regions of the Tyumen Oblast in retrospective (2004–2013). Conclusions. The result of regularization of aggregate input-output matrix for the southern regions of the Tyumen Oblast obtained from the statistical input-output data on the basis of the least squares method indicates that the backward estimation technique cannot act as a basic tool for the primary construction of balance models of regional economies. However, backward estimation algorithms with subsequent regularization are effective in correcting the reference input-output matrix using actual data of the region’s socio-economic development.


EconomiA ◽  
2014 ◽  
Vol 15 (2) ◽  
pp. 228-241 ◽  
Author(s):  
Rodrigo Emmanuel Santana Borges ◽  
Everlam Elias Montibeler

2018 ◽  
Vol 82 ◽  
pp. 666-680 ◽  
Author(s):  
João Paulo Soto Veiga ◽  
Arunima Malik ◽  
Manfred Lenzen ◽  
Joaquim Bento de Souza Ferreira Filho ◽  
Thiago Libório Romanelli

1992 ◽  
Vol 4 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Dianqing Xu ◽  
Shengliang Deng ◽  
Gene Gruver

2009 ◽  
Vol 21 (40) ◽  
Author(s):  
Francisco Casimiro Filho ◽  
Joaquim José Martins Guilhoto

This study aimed to analyze the tourism contributions to the Brazilian economy, considering the productive framework of 1999. For that, it was aimed to characterize the inter-sectors relations focusing on sectors that form the tourism segment. In order to perform this study it was needed to share the input-output matrix constituted to the country into sectors which were considered touristy and non-touristy In the analysis, it was used, the linkage index of Hirschmann-Rasmussem, the field of influence, the pure linkage. The linkages inter-sector indexes allowed the identification of key-sectors, considering the input-output model here developed and the level of aggregation used. Among the sectors classified as key-sectors, using the most extensive concept, six (06) were initially considered as compounds of the tourism segment: regular air transport, non-regular air transport, travel agents and agencies, supporting activities of air transport, hotels and other types of temporary accommodation, restaurants and other food establishments. In face of this, it is pointed out the importance of implementing policies and programs to promote the development of the sector of tourism in Brazil, considering that tourism contributes to the growth of the national economy.


Sign in / Sign up

Export Citation Format

Share Document