Olena Dobrovolska, Ralf Sonntag, Wolfgang Ortmanns, Iryna Kadyrus, Tetyana Rudyanova
{"title":"研发资金对创新发展水平影响的结构和比较分析:全球创新指数领导者和乌克兰的经验证据","authors":"Olena Dobrovolska, Ralf Sonntag, Wolfgang Ortmanns, Iryna Kadyrus, Tetyana Rudyanova","doi":"10.21511/im.19(4).2023.25","DOIUrl":null,"url":null,"abstract":"The study aims to determine the influence of the R&D expenditure structure funded by different sectors of stakeholders on the level of innovation development. The data sample involves values of GII and R&D expenditure funded by business, government, higher education, private non-profit sectors, and foreign sources for 10 countries – Ukraine and 9 top countries in GII-2022 for 2011–2020. Pearson/Spearman correlation analysis considers time lags to determine the nature and strength of relationships. For GII’s top countries, the relationship with innovation development level is confirmed as direct for funding R&D by business (in 8 from 9 countries), higher education (5 from 7), and foreign sources (5 from 9) with power from moderate to very high and 0-3-year lag. In Ukraine, the direct relationship is for financing by business (very high power and 3-year lag) and foreign sources (high power and 1-year lag). The regression modeling of dependences (Arellano-Bover/Blundell-Bond dynamic model for panel data and linear model for Ukraine) was also applied using STATA 18. In GII’s top countries, increasing the share of R&D expenditures financed by business by 1% contributes to increasing GII’s score by 0.25%, higher education – 2.47%; government, non-profit sector, and foreign sources – decreasing by 0.89%, 1.68% and 0.81% accordingly. In Ukraine, increasing financing R&D by the government by 1% leads to a similar decrease of GII estimate by 0.19% with a 2-year lag, and the business sector – an increase of 0.16% with a 3-year time lag. Vice versa, in Ukraine, R&D expenditures financed by higher education lead to GII’s score decreasing.","PeriodicalId":37060,"journal":{"name":"Innovative Marketing","volume":" 111","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Structural and comparative analysis of R&D funding impact on the level of innovation development: The empirical evidence of GII’s leaders and Ukraine\",\"authors\":\"Olena Dobrovolska, Ralf Sonntag, Wolfgang Ortmanns, Iryna Kadyrus, Tetyana Rudyanova\",\"doi\":\"10.21511/im.19(4).2023.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study aims to determine the influence of the R&D expenditure structure funded by different sectors of stakeholders on the level of innovation development. The data sample involves values of GII and R&D expenditure funded by business, government, higher education, private non-profit sectors, and foreign sources for 10 countries – Ukraine and 9 top countries in GII-2022 for 2011–2020. Pearson/Spearman correlation analysis considers time lags to determine the nature and strength of relationships. For GII’s top countries, the relationship with innovation development level is confirmed as direct for funding R&D by business (in 8 from 9 countries), higher education (5 from 7), and foreign sources (5 from 9) with power from moderate to very high and 0-3-year lag. In Ukraine, the direct relationship is for financing by business (very high power and 3-year lag) and foreign sources (high power and 1-year lag). The regression modeling of dependences (Arellano-Bover/Blundell-Bond dynamic model for panel data and linear model for Ukraine) was also applied using STATA 18. In GII’s top countries, increasing the share of R&D expenditures financed by business by 1% contributes to increasing GII’s score by 0.25%, higher education – 2.47%; government, non-profit sector, and foreign sources – decreasing by 0.89%, 1.68% and 0.81% accordingly. In Ukraine, increasing financing R&D by the government by 1% leads to a similar decrease of GII estimate by 0.19% with a 2-year lag, and the business sector – an increase of 0.16% with a 3-year time lag. Vice versa, in Ukraine, R&D expenditures financed by higher education lead to GII’s score decreasing.\",\"PeriodicalId\":37060,\"journal\":{\"name\":\"Innovative Marketing\",\"volume\":\" 111\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovative Marketing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21511/im.19(4).2023.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovative Marketing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21511/im.19(4).2023.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
Structural and comparative analysis of R&D funding impact on the level of innovation development: The empirical evidence of GII’s leaders and Ukraine
The study aims to determine the influence of the R&D expenditure structure funded by different sectors of stakeholders on the level of innovation development. The data sample involves values of GII and R&D expenditure funded by business, government, higher education, private non-profit sectors, and foreign sources for 10 countries – Ukraine and 9 top countries in GII-2022 for 2011–2020. Pearson/Spearman correlation analysis considers time lags to determine the nature and strength of relationships. For GII’s top countries, the relationship with innovation development level is confirmed as direct for funding R&D by business (in 8 from 9 countries), higher education (5 from 7), and foreign sources (5 from 9) with power from moderate to very high and 0-3-year lag. In Ukraine, the direct relationship is for financing by business (very high power and 3-year lag) and foreign sources (high power and 1-year lag). The regression modeling of dependences (Arellano-Bover/Blundell-Bond dynamic model for panel data and linear model for Ukraine) was also applied using STATA 18. In GII’s top countries, increasing the share of R&D expenditures financed by business by 1% contributes to increasing GII’s score by 0.25%, higher education – 2.47%; government, non-profit sector, and foreign sources – decreasing by 0.89%, 1.68% and 0.81% accordingly. In Ukraine, increasing financing R&D by the government by 1% leads to a similar decrease of GII estimate by 0.19% with a 2-year lag, and the business sector – an increase of 0.16% with a 3-year time lag. Vice versa, in Ukraine, R&D expenditures financed by higher education lead to GII’s score decreasing.