scholarly journals Relations entre le commerce international et l’emploi; cas du Québec : 1965-1970

2009 ◽  
Vol 49 (4) ◽  
pp. 500-520 ◽  
Author(s):  
Louis-Robert Lafleur ◽  
Rodrigue Tremblay

Abstract This article combines the analysis of regional economics, the constant-market-share analysis and the input-output analysis in order to assess the impact of export growth on the main economic variables of a regional economy. The model is first tested for a regional economy by breaking up export growth rates for manufactured products into its various effects. The dynamism of the trade zone to which the regional economy belongs, the production biases on the pattern of trade flows and the cost competitiveness of the economy are then estimated. It is assumed that these estimates reflect the relative importance of the structural and exogenous factors relative to the cyclical and endogenous factors on export performance. The general equilibrium implications of the estimates in terms of direct and indirect employment effects are thus spelled out by the use of available input-output data. The results indicate that Quebec's export performance is not hindered by the geographical pattern of export flows nor by the product-mix of its exports. However, the indicator of cost competitiveness indicates a slight deterioration on foreign markets.

2012 ◽  
Vol 11 (1) ◽  
pp. 152-164
Author(s):  
Jan T. Mizgajski

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.


2019 ◽  
Vol 25 (12) ◽  
pp. 2432-2450 ◽  
Author(s):  
Antoine Beylot ◽  
Sara Corrado ◽  
Serenella Sala

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.


1998 ◽  
Vol 30 (1) ◽  
pp. 161-179 ◽  
Author(s):  
R J Stimson ◽  
O H Jenkins ◽  
B H Roberts ◽  
M T Daly

Foreign investment has played a major role in the development of tourism in the Cairns-Far North Queensland region of Australia, one of the nation's most internationalised regional economies. As the owner of a significant number of hotels and tourism operations, the Daikyo Corporation from Japan is the major foreign player, contributing substantially to employment and regional production. In this paper we use input-output analysis to estimate the contribution of Daikyo to the regional economy, which is shown to be positive and considerably greater in its export-to-import ratio effects, than is the case for the total industry sectors.


2000 ◽  
Vol 26 (1) ◽  
pp. 17-30 ◽  
Author(s):  
L.C. Stilwell ◽  
R.C.A. Minnitt ◽  
T.D. Monson ◽  
G. Kuhn

2016 ◽  
Vol 41 (2) ◽  
pp. 256-281 ◽  
Author(s):  
Peter W. J. Batey

The aim of this article is to demonstrate how a particular modeling framework, based on extended input–output analysis, can be used to obtain a clearer understanding of the impact of regional decline of the effects of high, and rising, unemployment; of falling industrial final demand; of welfare payments; and of declining population. The activity–commodity framework used here provides a systematic way of adding demographic variables to the familiar Leontief interindustry model and the extended inverse derived from it provides a rich source of information about the interaction of demographic and economic change, expressed as demographic–economic and economic–demographic multipliers. Drawing on the author’s research in the 1980s and 1990s, this article considers two empirical examples to show the framework’s analytical value: a simple extended model is used to assess the distributional effects of welfare payments in a declining region; and a more elaborate version is linked to a set of regional labor market accounts, summarizing intercensal change in population and employment. This model is used to produce a comprehensive assessment of the effects of population and employment change in two UK regions, one a growing region (East Anglia) and the other a region in decline (Merseyside). In a final section, the benefits and limitations of the extended input–output modeling framework are discussed in comparison with some of the alternative modeling frameworks that are currently available.


Energy Policy ◽  
2013 ◽  
Vol 57 ◽  
pp. 263-275 ◽  
Author(s):  
M. Markaki ◽  
A. Belegri-Roboli ◽  
P. Michaelides ◽  
S. Mirasgedis ◽  
D.P. Lalas

2019 ◽  
Vol 22 (1) ◽  
pp. 147-162
Author(s):  
Achmad Nurdany ◽  
Anggari Marya Kresnowati

While the study of the regional economy and its factors has been well-researched, relatively less is known on the issues for the digital economy sectors affecting the regional economy. Therefore, the aims of this paper are: to investigate the regional economic impact caused by digital economy sectors; to analyze the multiplier effect of these sectors on the output, income, and employment; and to calculate the economic impact of additional investment in the digital economy sectors. The study focuses on the region of East Java Province, Indonesia. The method used in this study is the input-output analysis (13 x 13 aggregation), which generates transaction of goods and services at a certain time. This study uses data from the Central Bureau of Statistics, Input-Output Table of East Java Province year 2015, which  includes 110 economic sectors, which are then grouped into digital related and non-digital related sectors. The result indicates that digital economy sectors have both backward and forward linkages to other sectors in the region. Further finding shows that digital related manufacturing sector has the highest multiplier effect on the output, income, and employment. While investment injection on the digital economy sectors, based on the analysis, will make better disruption on East Java economy. The government of the region should put an emphasis to attract more investment in the digital economy sectors.


2020 ◽  
Vol 12 (15) ◽  
pp. 6043
Author(s):  
Junhwan Moon ◽  
Eungyeong Yun ◽  
Jaebeom Lee

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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