Updating Input-Output Tables Using Employment Data: A Reformulation

1986 ◽  
Vol 18 (2) ◽  
pp. 269-276
Author(s):  
R C Hinojosa ◽  
B W Pigozzi
Keyword(s):  
2021 ◽  
Vol 13 (21) ◽  
pp. 11657
Author(s):  
Stanislav Shmelev ◽  
Harrison Roger Brook

When formulating economic development strategies, the environment and society must be considered to preserve well-being. This paper proposes a comparative sustainability assessment method using environmentally extended input-output analysis and multi-criteria decision aid. Using symmetric input-output tables and sectoral CO2 emissions and employment data for six countries, linkage coefficients are calculated for 163 sectors in each country. Multi-criteria decision aid tool, ELECTRE III, is used to derive outranking relationships among each country’s sectors using these coefficients as criteria, resulting in a hierarchy of sectors ordered by sustainability. Sectors that frequently appear at the top of the six hierarchies included education, health care, construction, and financial intermediation. China’s results differ significantly because of its concentration of economic activity on the primary/secondary sectors. The results can enable identification of key intervention pathways along which sustainable development could be stimulated. Country-specific recommendations and reflections on economic and sustainability policy initiatives are discussed.


1982 ◽  
Vol 14 (11) ◽  
pp. 1469-1478 ◽  
Author(s):  
R C Hinojosa ◽  
B W Pigozzi

A new procedure is presented for estimating input-output tables with limited survey data. Its significance lies in two areas: it demonstrates the efficacy of adjusting biproportionally the Leontief inverse rather than the matrix of technical coefficients and it shows the potential of utilizing independently gathered, less expensive, employment data in the column constraint. This procedure is tested by use of Washington input-output tables; the results compare favorably with conventional RAS adjustments.


1970 ◽  
Vol 15 (2) ◽  
pp. 115, 118
Author(s):  
WILLIAM E. COLEMAN

Author(s):  
Vinodhini M.

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.


2012 ◽  
pp. 22-46
Author(s):  
Huong Nguyen Thi Lan ◽  
Toan Pham Ngoc

The purpose of this study is to evaluate the impact of public expenditure cuts on employment and income to support policies for the development of the labor mar- ket. Impact evaluation is of interest for policy makers as well as researchers. This paper presents a method – that is based on a Computable General Equilibrium model – to analyse the impact of the public expenditure cuts policy on employment and income in industries and occupations in Vietnam using macro data, the Input output table, 2006, 2008 and the 2010 Vietnam Household Living Standard Survey.


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