Sophisticated jobs matter for economic complexity: An empirical analysis based on input-output matrices and employment data

2018 ◽  
Vol 45 ◽  
pp. 1-8 ◽  
Author(s):  
Paulo Gala ◽  
Jhean Camargo ◽  
Guilherme Magacho ◽  
Igor Rocha
Keyword(s):  
Empirical Analysis ◽  
Input Output ◽  
Economic Complexity ◽  
Employment Data

scholarly journals Macro Sustainability across Countries: Key Sector Environmentally Extended Input-Output Analysis

2021 ◽  
Vol 13 (21) ◽  
pp. 11657
Author(s):  
Stanislav Shmelev ◽  
Harrison Roger Brook
Keyword(s):  
Decision Aid ◽  
Sustainability Assessment ◽  
Well Being ◽  
Assessment Method ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Sustainability Policy ◽  
Economic Development Strategies ◽  
Employment Data

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.

Estimation of Input-Output Coefficients by Means of Employment Data

1982 ◽  
Vol 14 (11) ◽  
pp. 1469-1478 ◽  
Author(s):  
R C Hinojosa ◽  
B W Pigozzi
Keyword(s):  
Survey Data ◽  
Input Output ◽  
The Matrix ◽  
Leontief Inverse ◽  
Employment Data ◽  
Technical Coefficients

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.

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):  
Input Output ◽  
Employment Data
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