| Literature DB >> 35206192 |
Elżbieta Sobczak1, Dariusz Głuszczuk1, Andrzej Raszkowski1.
Abstract
The study addresses the issue of eco-innovation and innovation in the European Union countries, which is important from the perspective of the sustainable development paradigm. Innovation constitutes a significant factor related to socio-economic development, and it is crucial in constructing the competitive advantage of enterprises, regions, and countries. Nowadays, an increasing importance is attached to eco-innovations, which takes into account the ecological perspective ensuring the reduction of environmental burdens. The purpose of the conducted research was to assess the diversity among the European Union countries regarding the situation related to eco-innovation and innovation, which is focused on the typology of the EU Member States taking a holistic approach to innovation, i.e., considering not only economic but also environmental and social performance. The methods of multivariate statistical analysis, with a particular emphasis on classification methods, were used in the research. A holistic overview of innovation results from the combination of findings based on the research was carried out within the framework of the Eco-Innovation Observatory and the European Innovation Scoreboard. The study covered 28 European Union countries in the period 2013-2019. As a result of the conducted analyses, four classes of the EU Member States were identified (Leaders of Eco-Innovation and Innovation, Moderate Eco-Innovators and Catching-Up Leaders of Innovation, Poor Innovators, The Poorest Eco-Innovators and Innovators).Entities:
Keywords: eco-innovation; innovation; socio-economic development; typology of the European Union countries
Mesh:
Year: 2022 PMID: 35206192 PMCID: PMC8872443 DOI: 10.3390/ijerph19042005
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Descriptive parameters of the Eco-Innovation Index for the European Union countries in the years 2013–2019 (EU average = 100).
| Statistics | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|---|---|
| min | 20.00 | 31.00 | 29.00 | 29.00 | 38.00 | 45.00 | 34.00 |
| max | 140.00 | 139.00 | 132.00 | 140.00 | 144.00 | 138.00 | 165.00 |
| R | 120.00 | 108.00 | 103.00 | 111.00 | 106.00 | 93.00 | 131.00 |
| Md | 76.00 | 91.50 | 91.00 | 89.00 | 87.00 | 93.00 | 95.00 |
|
| 80.78 | 87.48 | 86.15 | 90.37 | 92.33 | 93.00 | 94.07 |
| Q1 | 55.75 | 65.00 | 64.00 | 75.25 | 73.75 | 79.00 | 72.75 |
| Q3 | 113.25 | 105.75 | 110.00 | 109.25 | 113.00 | 112.00 | 113.50 |
| CV | 44.44 | 33.40 | 33.99 | 30.41 | 31.51 | 27.46 | 34.60 |
| SB | 0.30 | −0.30 | −0.17 | 0.19 | 0.32 | 0.15 | −0.09 |
Where: BG—Bulgaria, CY—Cyprus, SE—Sweden, LU—Luxembourg, DE—Germany, R—Range; Md—Median; —Arithmetic Mean; Q1, Q3—first and third Quartiles; CV—Coefficient of Variation (%); SB—Bowley’s Coefficient of Skewness. Source: authors’ own calculations based on [3,4,5].
Figure 1Box plot of the Eco-Innovation Index for the EU countries in the years 2013–2019. Source: authors’ compilation based on [3,4,5]. where: EI—Eco-Innovation Index.
Descriptive parameters of the Summary Innovation Index value for the European Union countries in the years 2013–2019 (EU average = 100).
| Statistics | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|---|---|
| min | 38.92 | 29.99 | 30.23 | 29.29 | 31.14 | 29.90 | 30.71 |
| max | 144.35 | 144.10 | 141.81 | 140.45 | 141.39 | 136.83 | 136.69 |
| R | 105.44 | 114.10 | 111.58 | 111.17 | 110.26 | 106.92 | 105.98 |
| Md | 85.08 | 83.54 | 83.45 | 77.46 | 79.44 | 84.23 | 84.53 |
|
| 90.25 | 89.66 | 89.86 | 88.99 | 88.96 | 90.24 | 90.84 |
| Q1 | 63.35 | 64.31 | 64.23 | 67.74 | 66.59 | 71.95 | 72.06 |
| Q3 | 117.71 | 116.94 | 116.42 | 118.89 | 117.95 | 117.91 | 116.72 |
| CV | 35.66 | 35.52 | 34.64 | 35.04 | 34.28 | 32.16 | 31.52 |
| SB | 0.20 | 0.27 | 0.26 | 0.62 | 0.50 | 0.47 | 0.44 |
Where: RO—Romania, SE—Sweden, R—Range; Md—Median; —Arithmetic Mean; Q1, Q3—first and third Quartiles; CV—Coefficient of Variation (%); SB—Bowley’s Coefficient of Skewness. Source: authors’ calculations based on [3,4,5].
Figure 2Box plot of the Summary Innovation Index for the EU countries in the years 2013–2019. Source: authors’ compilation based on [3,4,5]. where: I—Summary Innovation Index.
Figure 3Dendrogram of connections, integration distances, and classification stages using Ward’s method for the EU countries. Source: authors’ compilation based on [3,4,5] using STATISTICA 13.1 statistical package. Note. Codes for EU countries: Austria (AT), Belgium (BE), Bulgaria (BG), Cyprus (CY), Czech Republic (CZ), Germany (DE), Denmark (DK), Estonia (EE), Greece (EL), Spain (ES), Finland (FI), France (FR), Croatia (HR), Hungary (HU), Ireland (IE), Italy (IT), Lithuania (LT), Luxembourg (LU), Latvia (LV), Malta (MT), Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Sweden (SE), Slovenia (SI), Slovakia (SK), and the United Kingdom (UK). The red line indicates the cut-off level.
Classification of the European Union countries based on the Eco-Innovation Index value and the Summary Innovation Index value in the years 2013–2019 (EU average = 100).
| No. | Typology of Classes | Class Composition | Class Size | Average Distance from the Middle of the Class |
|---|---|---|---|---|
| 1. | Moderate Eco-Innovators and Poor Innovators | Czechia, Italy, Portugal, Slovenia, Spain | 5 | 0.08 |
| 2. | Moderate Eco-Innovators and Catching-Up Leaders of Innovation | Austria, Belgium, France, Ireland, Netherlands, United Kingdom | 6 | 0.07 |
| 3. | The Poorest Eco-Innovators and Innovators | Bulgaria, Croatia, Cyprus, Estonia, Greece, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia | 12 | 0.13 |
| 4. | Leaders of Eco-Innovation and Innovation | Sweden, Luxembourg, Germany, Finland, Denmark | 5 | 0.07 |
Source: Authors’ compilation.
Figure 4Mean values for the normalized indicators of the Eco-Innovation Index and the Summary Innovation Index of the EU countries in the years 2013–2019. Source: authors’ compilation based on [3,4,5] using STATISTICA 13.1 package. where: EI—Eco-Innovation Index, I—Summary Innovation Index.
Kruskal–Wallis test statistics for four classes of the European Union countries identified using the k-means method regarding the values of the Eco-Innovation Index and Summary Innovation Index in 2013–2019.
| Eco-Innovation Index | Summary Innovation Index | ||||
|---|---|---|---|---|---|
| Index | H |
| Index | H |
|
| EI2013 | 22.53 | 0.0001 | I2013 | 22.59 | 0.0000 |
| EI2014 | 22.60 | 0.0000 | I2014 | 22.08 | 0.0001 |
| EI2015 | 23.28 | 0.0000 | I2015 | 22.08 | 0.0001 |
| EI2016 | 21.83 | 0.0001 | I2016 | 22.48 | 0.0001 |
| EI2017 | 22.48 | 0.0001 | I2017 | 22.34 | 0.0001 |
| EI2018 | 22.08 | 0.0001 | I2018 | 21.85 | 0.0001 |
| EI2019 | 22.68 | 0.0000 | I2019 | 21.68 | 0.0001 |
Where: EI—Eco-Innovation Index, I—Summary Innovation Index, H—Kruskal–Wallis test value, p—the lowest probability at which the null hypothesis can be rejected. Source: authors’ calculations based on [3,4,5].
Descriptive parameters of the Eco-Innovation Index value for the selected types of classes of the European Union countries in the years 2013–2019 (EU average = 100).
| No. | Class | Parameters | Years | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |||
| 1. | Moderate Eco-Innovators and Poor Innovators |
| 87.00 | 96.00 | 97.40 | 97.40 | 105.80 | 105.00 | 101.20 |
| CV | 25.20 | 10.55 | 9.20 | 11.33 | 13.22 | 4.62 | 7.07 | ||
| 2. | Moderate Eco-Innovators and Catching-Up Leaders of Innovation |
| 106.67 | 100.83 | 102.50 | 99.50 | 97.83 | 101.67 | 107.83 |
| CV | 12.49 | 7.33 | 9.37 | 11.87 | 11.20 | 13.75 | 14.60 | ||
| 3 | The Poorest Eco-Innovators and Innovators |
| 48.50 | 60.50 | 58.08 | 67.00 | 66.58 | 70.25 | 65.25 |
| CV | 30.60 | 25.19 | 22.34 | 23.60 | 21.56 | 21.09 | 22.06 | ||
| 4. | Leaders of Eco-Innovation and Innovation |
| 130.80 | 131.00 | 128.00 | 133.00 | 136.60 | 128.60 | 144.40 |
| CV | 7.90 | 5.18 | 3.75 | 3.64 | 6.96 | 7.90 | 10.31 | ||
Where: —Arithmetic Mean; CV—Coefficient of Variation (%). Source: authors’ compilation based on [3,4,5].
Descriptive parameters of the Summary Innovation Index value for the selected types of classes of the European Union countries in the years 2013–2019 (EU average = 100).
| No. | Class | Parameters | Years | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | |||
| 1. | Moderate Eco-Innovators and Poor Innovators |
| 84.26 | 82.76 | 82.72 | 80.27 | 80.74 | 83.15 | 84.30 |
| CV | 11.67 | 11.83 | 11.97 | 10.27 | 8.42 | 6.27 | 6.50 | ||
| 2. | Moderate Eco-Innovators and Catching-Up Leaders of Innovation |
| 114.64 | 115.74 | 115.83 | 118.26 | 117.14 | 115.11 | 113.99 |
| CV | 6.55 | 5.38 | 5.30 | 4.76 | 4.67 | 6.06 | 6.93 | ||
| 3 | The Poorest Eco-Innovators and Innovators |
| 61.55 | 61.39 | 62.35 | 61.06 | 61.64 | 65.11 | 66.32 |
| CV | 27.01 | 27.42 | 26.95 | 24.35 | 23.98 | 27.51 | 27.58 | ||
| 4. | Leaders of Eco-Innovation and Innovation |
| 135.83 | 133.08 | 131.86 | 129.64 | 128.91 | 127.80 | 128.43 |
| CV | 5.64 | 7.01 | 6.33 | 6.22 | 7.02 | 6.47 | 6.83 | ||
Where: —Arithmetic Mean; CV—Coefficient of Variation (%). Source: authors’ compilation based on [3,4,5].