Regional Input-Output Studies: A Systematic Literature Review

The purpose of the paper is to provide a systematic insight into the state of the art in the regional (subnational) input-output analyses. Large and growing body of scientific literature in the field is very diverse, fragmented and challenging to comprehend mostly because it is usually published as articles, not only in the field specific journals, but also sporadically in other journals. On the other hand subnational (regional) level of the analysis is not very frequent. However, articles concerning this level are not easy to identify in a bunch of literature because the term ‘regional’ can refer to various spatial levels (country, continent, group of countries, sub-national entities). Therefore, there is a need for upto-date and comprehensive meta-analysis of the work done so far in the area of regional (sub-national) input-output analyses. The present systematic review is based on a broad search of two databases of scientific publications: Web of Science and SCOPUS. In this research we apply a Qualitative Data Analysis (QDA) approach and conduct a content-coding of selected papers

REGIONAL INPUT-OUTPUT STUDIES: A SYSTEMATIC LITERATURE REVIEW

Abstract The purpose of the paper is to provide a systematic insight into the state of the art in the regional (subnational) input-output analyses. Large and growing body of scientific literature in the field is very diverse, fragmented and challenging to comprehend mostly because it is usually published as articles, not only in the field specific journals, but also sporadically in other journals. On the other hand subnational (regional) level of the analysis is not very frequent. However, articles concerning this level are not easy to identify in a bunch of literature because the term 'regional' can refer to various spatial levels (country, continent, group of countries, sub-national entities). Therefore, there is a need for upto-date and comprehensive meta-analysis of the work done so far in the area of regional (sub-national) input-output analyses. The present systematic review is based on a broad search of two databases of scientific publications: Web of Science and SCOPUS. In this research we apply a Qualitative Data Analysis (QDA) approach and conduct a content-coding of selected papers

How increasing investments in R&D would contribute to development of Poland and its regions?

The paper investigates impact of several scenarios of increasing investments in R&D in Poland with use of a regional CGE model for Poland. The Europe 2020 strategy sets the target of increasing combined public and private investment in R&D to achieve a level of 3 % of R&D in EU’s GDP by 2020. Currently it is 2.1% of GDP on average in the EU, and in Poland only 0.89% of GDP. Specific target established by the EU for Poland to be achieved by year 2020 is 1.7% of GDP. So the policy is very challenging as the R&D expenditure must double in Poland in relatively short time. Yet no specific actions were planned to fulfill the requirement. Hence we simulate two scenarios of possible increase of regional shares of R&D investments in regional GRPs taking into account that regions in Poland differ significantly in their R&D shares in GDP from 0.2% to 1.38%. The main method applied in the paper is a regional CGE model for Poland called POLTERMDyn. Several scenario are analyzed and compared. The first scenario assumes that all regions increase R&D proportionally to their current shares in total R&D spending. The second scenario assumes that all regions increase their R&D share in GDP up to 1,7% by 2020, no matter what were the initial shares of R&D in their GRPs. The results show that the ‘proportional’ and ‘converging’ scenarios have similar and positive impact on Poland’s economy in terms of GDP growth and employment. They boosts several sectors of the economy in addition to R&D services, in particular: construction, accommodation and food, public administration, education and health, in particular. It is important to stress, that regional impacts differ significantly