Technological and Demand Change in Energy Use: An Input—Output Analysis

1987 ◽  
Vol 19 (10) ◽  
pp. 1387-1398 ◽  
Author(s):  
J M Gowdy ◽  
J L Miller
Keyword(s):  
Technological Change ◽  
Energy Use ◽  
Input Output ◽  
Output Analysis ◽  
Energy Mix ◽  
Input Output Analysis ◽  
Us Economy ◽  
Time Period ◽  
The Us ◽  
The Impact

In this study input–output tables for the US economy are used to examine the changing pattern of energy use from 1963 to 1977. A method is developed for isolating some of the reasons behind the observed changes. We examine the impact of four types of technological change and two types of demand change on energy use. Two types of technological change that are of particular importance in the time period considered are changes in energy mix and changes due to substitution among nonenergy inputs.

Input–output analysis of energy use in agriculture

2005 ◽  
Vol 46 (9-10) ◽  
pp. 1513-1521 ◽  
Author(s):  
Osman Karkacier ◽  
Z. Gokalp Goktolga
Keyword(s):  
Energy Use ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis

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
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