scholarly journals Terciarización del sistema productivo ibérico: Rasgos diferenciales

2020 ◽  
Vol 30 (2) ◽  
pp. 761
Author(s):  
José Antonio Camacho-Ballesta ◽  
Yulia Melikhova
Keyword(s):  
Inverse Matrix ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Productive System ◽  
Leontief Inverse ◽  
Productive Systems ◽  
The Impact ◽  
Technical Coefficients ◽  
User Activities

This work aims to analyze the tertiarisation process of two neighbouring countries, Spain and Portugal, during the period 1995-2005. In this regard we pretend to find out if there are differences between the two productive systems as for the use of tertiary inputs or it is possible to talk about the “Iberian productive system.” It is also analyzed if different activities employ the same amount of tertiary inputs within their productive processes. These findings could be a key to explain the tertiarisation processes in both countries. The methodology that enables to quantify the level  of tertiarisation of economies is based on the input-output analysis. The impact of services on user activities is appreciated by means of a series of effects that can be obtained through the technical coefficients and the Leontief inverse matrix.

scholarly journals Un modèle intersectoriel incluant une fonction d’investissement et des coefficients techniques variables

2009 ◽  
Vol 54 (2) ◽  
pp. 207-233 ◽  
Author(s):  
Richard Beaudry ◽  
Jacques Nepveu
Keyword(s):  
Basic Structure ◽  
Technological Changes ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Industrial Sectors ◽  
Investment Function ◽  
Auto Regressive ◽  
The Impact ◽  
Technical Coefficients

Input-output analysis was always criticized for its inability to simulate all the effects produced by economic development; induced investment and its impact was notably one of the most serious lack usually noted. The model presented here is an attempt to prove that such a problem might well be solved in the future by introducing an investment function in the analysis at reasonable costs. By the same token, it tries to sell the possibility of taking into account the technological changes that occur in various industrial sectors, in allowing technical coefficients to change accordingly. The authors first briefly describe the economic rationale supporting the necessity of introducing such modifications in the static input-output analysis. Then, using the 1966 Quebec Input-Output table as the basic structure of their model, they formulate what could be presented as a fully dynamic (auto-regressive) model that can simulate the main effects that should be evaluated in an impact study: direct and indirect effects, and effects related to induced consumption and investment. Finally, running the model from a fictious variation in final demand and for a ten-year period, they conclude with the following results: 1°) the introduction of the accelerator increases by about 30% (the figure varies from 65% to 15% during the period) the impact that would have been otherwise obtained with the static model; and 2°) the use of actual technical coefficients (the introduction of technological changes) reduces by 20% the impact that would have been estimated without the modification.

scholarly journals The Impact of Polish-German Trade Flows on CO2 Emissions

2012 ◽  
Vol 11 (1) ◽  
pp. 152-164
Author(s):  
Jan T. Mizgajski
Keyword(s):  
Co2 Emissions ◽  
Trade Flows ◽  
Input Output ◽  
Output Analysis ◽  
German Trade ◽  
Input Output Analysis ◽  
Embodied Carbon ◽  
The Impact

Abstract This study analyses the embodied carbon in the trade flows between Poland and Germany. The calculations are based on data from Eurostat and OECD for 2008. The study uses input-output analysis, which allows the assignment of responsibility to individual flows for generating specific amounts of emissions in the economy. It demonstrates that Polish exports to Germany contain significantly more embodied carbon than do imports from Germany, despite the fact that the value of imports is higher. Moreover, it is found that Polish-German trade flows were responsible for more CO2 emissions that Lithuania and Latvia emitted together in 2008.

scholarly journals Environmental impacts of European trade: interpreting results of process-based LCA and environmentally extended input–output analysis towards hotspot identification

2019 ◽  
Vol 25 (12) ◽  
pp. 2432-2450 ◽  
Author(s):  
Antoine Beylot ◽  
Sara Corrado ◽  
Serenella Sala
Keyword(s):  
Life Cycle ◽  
Impact Assessment ◽  
Environmental Impacts ◽  
Impact Categories ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
European Trade ◽  
The Impact ◽  
Modelling Approaches

Abstract Purpose Trade is increasingly considered a significant contributor to environmental impacts. The assessment of the impacts of trade is usually performed via environmentally extended input–output analysis (EEIOA). However, process-based life cycle assessment (LCA) applied to traded goods allows increasing the granularity of the analysis and may be essential to unveil specific impacts due to traded products. Methods This study assesses the environmental impacts of the European trade, considering two modelling approaches: respectively EEIOA, using EXIOBASE 3 as supporting database, and process-based LCA. The interpretation of the results is pivotal to improve the robustness of the assessment and the identification of hotspots. The hotspot identification focuses on temporal trends and on the contribution of products and substances to the overall impacts. The inventories of elementary flows associated with EU trade, for the period 2000–2010, have been characterized considering 14 impact categories according to the Environmental Footprint (EF2017) Life Cycle Impact Assessment method. Results and discussion The two modelling approaches converge in highlighting that in the period 2000–2010: (i) EU was a net importer of environmental impacts; (ii) impacts of EU trade and EU trade balance (impacts of imports minus impacts of exports) were increasing over time, regarding most impact categories under study; and (iii) similar manufactured products were the main contributors to the impacts of exports from EU, regarding most impact categories. However, some results are discrepant: (i) larger impacts are obtained from IO analysis than from process-based LCA, regarding most impact categories, (ii) a different set of most contributing products is identified by the two approaches in the case of imports, and (iii) large differences in the contributions of substances are observed regarding resource use, toxicity, and ecotoxicity indicators. Conclusions The interpretation step is crucial to unveil the main hotspots, encompassing a comparison of the differences between the two methodologies, the assumptions, the data coverage and sources, the completeness of inventory as basis for impact assessment. The main driver for the observed divergences is identified to be the differences in the impact intensities of goods, both induced by inherent properties of the IO and life cycle inventory databases and by some of this study’s modelling choices. The combination of IO analysis and process-based LCA in a hybrid framework, as performed in other studies but generally not at the macro-scale of the full trade of a country or region, appears a potential important perspective to refine such an assessment in the future.

An input–output analysis of the impact of mining on the South African economy

2000 ◽  
Vol 26 (1) ◽  
pp. 17-30 ◽  
Author(s):  
L.C. Stilwell ◽  
R.C.A. Minnitt ◽  
T.D. Monson ◽  
G. Kuhn
Keyword(s):  
South African ◽  
Input Output ◽  
The South ◽  
Output Analysis ◽  
Input Output Analysis ◽  
The Impact ◽  
Impact Of Mining

The impact of clean energy investments on the Greek economy: An input–output analysis (2010–2020)

Energy Policy ◽  
2013 ◽  
Vol 57 ◽  
pp. 263-275 ◽  
Author(s):  
M. Markaki ◽  
A. Belegri-Roboli ◽  
P. Michaelides ◽  
S. Mirasgedis ◽  
D.P. Lalas
Keyword(s):  
Clean Energy ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Greek Economy ◽  
The Impact

scholarly journals On the method for estimating technical coefficients of input-output analysis

2015 ◽  
Vol 1 (3) ◽  
pp. 8-12
Author(s):  
Do Van Sy ◽  
Bui The Tam ◽  
Nguyen Van Thieu
Keyword(s):  
Linear Programming ◽  
Numerical Data ◽  
Final Demand ◽  
Computational Results ◽  
Input Output ◽  
Analysis Model ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Linear Programming Problems ◽  
Technical Coefficients

In this paper a new method is presented for estimating the technical coefficients of the input-output analysis model with six sectors by using  the statistical numerical data on the gross domestic product and the  final demand and solving the system of the linear programming problems. The computational results presented in this  paper are more precise than that of the others in the last time. 

scholarly journals Identifying the Sustainable Industry by Input–Output Analysis Combined with CO2 Emissions: A Time Series Study from 2005 to 2015 in South Korea

2020 ◽  
Vol 12 (15) ◽  
pp. 6043
Author(s):  
Junhwan Moon ◽  
Eungyeong Yun ◽  
Jaebeom Lee
Keyword(s):  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Korean Economy ◽  
Traditional Manufacturing ◽  
The Impact ◽  
Linkage Effects

Preventing global warming caused by increased CO2 emissions is a major global problem. It is necessary to find and cultivate an efficient industry with a small amount of CO2 emissions and a great impact on the national economy. This article used input–output analysis to quantify the linkage effects on the Korean economy by dividing the Korean industries into 36 categories, according to the OECD (Organization for Economic Cooperation and Development) industrial classification criteria. In addition, the total amount of carbon dioxide emitted during the year was described by its criteria to compare how much of one industry emits carbon dioxide. The analysis shows that Korea still has an economic structure centered on traditional manufacturing and the characteristics of these industries include CO2 emissions. According to the result, in the construction industry, the carbon dioxide emissions are considerably high, but the linkage effects of the industry is small. By quantitatively analyzing the impact of an industry on the economy and carbon dioxide emissions generated in the production process, this study aimed to identify Korea’s eco-friendly and highly related industries with other industries and objectively present sustainable development.

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