{"title":"A new industrial strategy for Europe – new indicators of the results of its\n implementation","authors":"Oleg Krekhivskyi, O. Salikhova","doi":"10.59170/stattrans-2023-012","DOIUrl":null,"url":null,"abstract":"This paper discusses the experiences resulting from EU’s adoption and\n implementation of a wide variety of policy measures in response to the COVID-19 crisis.\n These measures included stimulating the relocation and expansion of manufacturing to\n reduce vulnerability, depending on imports, ensuring the stability and development of\n industrial production. Using the example of the pharmaceutical industry in EU27 in the\n years 1995–2018, the study proposes and tests a new approach to assessing the\n consequences of relocation policies aimed at developing the local production potential,\n increasing the value added by activity, and expanding the share of local value added in\n industry exports. Specifically, the focus is on the formation of statistical analysis\n tools for assessing the changes of the specialisation and identifying the country's\n comparative advantages. The authors propose new indicators: RSP – coefficient of\n Revealed Specialisation of Production, CAVA – coefficient of Comparative Advantage in\n Value Added by Activity and EVA – coefficient of Comparative Advantages in the Domestic\n Value Added Exports. Additionally, formulas for their calculation are provided which\n allow the assessment of the position of Ukraine’s industries among a reference group,\n widening the ‘revealed comparative advantage’ concept. Finally, a test of the new\n methodology showed that it can be used to identify the comparative advantages of EU\n member states supported by state assistance programmes involving the implementation of\n business projects which aim to develop domestic production.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59170/stattrans-2023-012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 1
Abstract
This paper discusses the experiences resulting from EU’s adoption and
implementation of a wide variety of policy measures in response to the COVID-19 crisis.
These measures included stimulating the relocation and expansion of manufacturing to
reduce vulnerability, depending on imports, ensuring the stability and development of
industrial production. Using the example of the pharmaceutical industry in EU27 in the
years 1995–2018, the study proposes and tests a new approach to assessing the
consequences of relocation policies aimed at developing the local production potential,
increasing the value added by activity, and expanding the share of local value added in
industry exports. Specifically, the focus is on the formation of statistical analysis
tools for assessing the changes of the specialisation and identifying the country's
comparative advantages. The authors propose new indicators: RSP – coefficient of
Revealed Specialisation of Production, CAVA – coefficient of Comparative Advantage in
Value Added by Activity and EVA – coefficient of Comparative Advantages in the Domestic
Value Added Exports. Additionally, formulas for their calculation are provided which
allow the assessment of the position of Ukraine’s industries among a reference group,
widening the ‘revealed comparative advantage’ concept. Finally, a test of the new
methodology showed that it can be used to identify the comparative advantages of EU
member states supported by state assistance programmes involving the implementation of
business projects which aim to develop domestic production.
期刊介绍:
Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.