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The Context for Higher Education Attainment: A Quantitative Assessment

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Globalization and Change in Higher Education
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Abstract

This chapter provides statistical analysis of the Member States of the European Union in the Bologna Process. The objectives for education, employability, and innovation are defined by the European Commission’s Europe 2020 economic growth strategy. The theoretical background of policy diffusion is applied to explain the objectives of higher education attainment and internationalization. The panel regression analysis explains relationships among macroeconomic variables, where the dependent variable is higher education attainment. Assessing opportunities of and challenges to policy reform, the quantitative analysis of data for EU countries, between the years 2000 and 2014, highlights Portugal and Spain. This research method is useful to identify variables in the political economy that may have a relationship with the objectives of the Bologna Process and Europe 2020. Testing the hypothesis that macroeconomic performance influences higher education attainment, the findings show that gross domestic product (GDP) per capita has the most significant relationship with higher education attainment.

Higher education is an important part of the solution to our current difficulties. Strong and accountable higher education systems provide the foundations for thriving knowledge societies. Higher education should be at the heart of our efforts to overcome the crisis—now more than ever.

Bucharest Communiqué (excerpt), April 27, 2012, EHEA Ministerial Conference

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Correspondence to Beverly Barrett .

Data Sources

Data Sources

Tertiary Education Attainment

Eurostat. 2016. Tertiary educational attainment by sex, age group 30–34; Tertiary educational attainment—total. Available from: http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=0&language=en&pcode=t2020_41 Short Description: “The share of the population aged 30–34 years who have successfully completed university or university-like (tertiary-level) education with an education level ISCED 1997 (International Standard Classification of Education) of 5–6. This indicator measures the Europe 2020 strategy’s headline target to increase the share of the 30–34-year-olds having completed tertiary or equivalent education to at least 40% in 2020”.

For Austria years 2000–2003, OECD. Education: Key tables from OECD—ISSN 2075-5120—© OECD. 2010. Tertiary education graduation rates; Percentage of graduates to the population at the typical age of graduation.

Educational Spending as percentage of GDP

Eurostat. 2012. Expenditure on education as % of GDP or public expenditure [educ_figdp]. INDIC_ED. Total public expenditure on education as % of GDP, for all levels of education combined. Available from: http://epp.eurostat.ec.europa.eu/statistics_explained/index.php/Educational_expenditure_statistics.

Missing data note: All countries for 2010 and 2011 take the previous value for 2009 and 2010. Belgium and Slovenia 2000 take next value for 2001. Malta 2000 and 2001 take the next value for 2002. Romania 2006 takes the value for 2005, and 2008 takes the value for 2007.

R&D as percentage of GDP

Eurostat. 2016. The indicator provided is GERD (Gross domestic expenditure on R&D) as a percentage of GDP. “Research and experimental development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society and the use of this stock of knowledge to devise new applications” (Frascati Manual, 2002 edition, § 63). Available from: http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=0&language=en&pcode=t2020_20.

Missing data note: Greece 2000 takes the value for 2001; Greece 2002 takes the average value for 2001 and 2003. Sweden 2000 takes the value for 2001; Sweden 2002 takes the average value for 2001 and 2003.

Trade as percentage of GDP

World Bank. 2016. Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product. Code: NE.TRD.GNFS.ZS. Source: World Bank national accounts data, and OECD National Accounts data files. Available from: http://data.worldbank.org/indicator/NE.EXP.GNFS.ZS.

Missing data note: For Malta missing the years 2012, 2013, and 2014 take 2011 value.

Employment as percentage of population

World Bank. 2016. Employment to population ratio, 15+, total (%) (modeled ILO estimate). International Labour Organization, Key Indicators of the Labour Market database. Available from: http://data.worldbank.org/indicator/SL.EMP.TOTL.SP.ZS.

GDP per capita

World Bank. 2016. GDP per capita, PPP (constant 2011 international $).

GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser’s prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Code: NY.GDP.PCAP.PP.KD.

Missing data note: Malta has the same values for 2013, 2014, and 2015 (2013 value for missing 2014 and 2015).

Source: World Bank, International Comparison Program database.

Available from: http://data.worldbank.org/indicator/NY.GDP.PCAP.PP.KD. GDPpercapita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser’s prices is the sum of gross.

Population

World Bank. 2016. Population, total refers to the total population.

(1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database. Catalog Sources World Development Indicators. Available from: http://data.worldbank.org/indicator/SP.POP.TOTL.

See Table 5.1.

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Barrett, B. (2017). The Context for Higher Education Attainment: A Quantitative Assessment. In: Globalization and Change in Higher Education. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-52368-2_5

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