Abstrakt
The growing complexity and intertwining of different socio-economic issues both in individual countries and internationally mean that single-theme analyses do not consider all the relationships and thus have cognitive limitations. Therefore, studies that combine several research areas are increasingly common in the literature to clarify the connections and relationships. In this study, considering the sequential nature of the stages, a combined analysis of eco-efficiency, eco-innovation, and Sustainable Development Goals (SDGs) was performed. The analysis was carried out for 27 European Union countries in 2017–2019. Dynamic Network SBM and Dynamic Divisional Malmquist Index were used for the study. The research results show that the EU countries achieve relatively higher efficiency results in eco-innovation and SDG than ecoefficiency. The average overall efficiency level for all EU countries was only 0.63. The change in productivity was influenced by both the frontier shift and catch-up effect, but only with regard to eco-efficiency and eco-innovation. At the same time, the frontier-shift effect did not affect the change in SDG productivity.
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Technological and Economic Development of Economy
nr 28,
wydanie 6,
strony 1739 - 1767,
ISSN: 2029-4913 - Rok wydania:
- 2022
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) https://doi.org/10.3846/tede.2022.17702
- Bibliografia: test
-
- Allen, C., Metternicht, G., & Wiedmann, T. (2018). Initial progress in implementing the Sustainable Development Goals (SDGs): A review of evidence from countries. Sustainability Science, 13, 1453- 1467. https://doi.org/10.1007/s11625-018-0572-3 otwiera się w nowej karcie
- Allen, C., Metternicht, G., & Wiedmann, T. (2019). Prioritising SDG targets: Assessing baselines, gaps and interlinkages. Sustainability Science, 14(2), 421-438. https://doi.org/10.1007/s11625-018-0596-8 otwiera się w nowej karcie
- ASEM SMEs Eco-innovation Center. (2018). 2018 ASEM Eco-innovation Index. Annual report. ASEIC. Retrieved September 12, 2021, from http://aseic.org/reference/publishing.php otwiera się w nowej karcie
- Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078 otwiera się w nowej karcie
- Carayannis, E. G., Barth, T. D., & Campbell, D. F. (2012). The Quintuple Helix innovation model: Global warming as a challenge and driver for innovation. Journal of Innovation and Entrepreneur- ship, 1, 1-12. https://doi.org/10.1186/2192-5372-1-2 otwiera się w nowej karcie
- Carrillo-Hermosill, J., del Río, P., & Könnölä, T. (2010). Diversity of eco-innovations: Reflections from selected case studies. Journal of Cleaner Production, 18(10-11), 1073-1083. https://doi.org/10.1016/j.jclepro.2010.02.014 otwiera się w nowej karcie
- Chachuli, F. S. M., Ludin, N. A., Mat, S., & Sopian, K. (2020). Renewable energy performance evaluation studies using the data envelopment analysis (DEA): A systematic review. Journal of Renewable and Sustainable Energy, 12, 062701. https://doi.org/10.1063/5.0024750 otwiera się w nowej karcie
- Chang, T.-S., Tone, K., & Wu, C.-H. (2021). Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation. European Journal of Opera- tional Research, 291(2), 766-781. https://doi.org/10.1016/j.ejor.2020.09.044 otwiera się w nowej karcie
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8 otwiera się w nowej karcie
- Cheba, K., & Bąk, I. (2021). Environmental production efficiency in the European Union countries as a tool for implementation of goal 7 of the 2030 Agenda. Energies, 14(15), 4593. https://doi.org/10.3390/en14154593 otwiera się w nowej karcie
- Cleantech Group. (2017). The Global Cleantech Innovation Index 2017. Retrieved September 5, 2021, from https://www.cleantech.com/indexes/the-global-cleantech-innovation-index/ otwiera się w nowej karcie
- Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: A comprehensive text with models, applications, references and DEA-Solver software (2 nd ed.). Springer. https://doi. org/10.1007/978-0-387-45283-8 otwiera się w nowej karcie
- Ding, L.-L., Lei, L., Wang, L., & Zang, L.-F. (2020). Assessing industrial circular economy performance and its dynamic evolution: An extended Malmquist index based on cooperative game network DEA. Science of the Total Environment, 731, 139001. https://doi.org/10.1016/j.scitotenv.2020.139001 otwiera się w nowej karcie
- European Commission. (2019). Communication from the Commission. The European Green Deal, COM(2019) 640 final. Brussels. Retrieved September 12, 2021, from https://eur-lex.europa.eu/legal- content/EN/TXT/?uri=CELEX:52019DC0640 otwiera się w nowej karcie
- European Commission. (2020). Circular economy indicators. Retrieved September 17, 2021, from https://ec.europa.eu/environment/ecoap/indicators/circular-economy-indicators_en otwiera się w nowej karcie
- European Commission. (2021). The eco-innovation scoreboard and the eco-innovation index. Retrieved September 5, 2021, from https://ec.europa.eu/environment/ecoap/indicators/index_en otwiera się w nowej karcie
- Eurostat. (2021). Database. Retrieved September 5, 2021, from https://ec.europa.eu/eurostat/web/main/ data/database otwiera się w nowej karcie
- Färe, R., & Grosskopf, S. (1996). Intertemporal production frontiers: With dynamic DEA. Kluwer Aca- demic Publishers. https://doi.org/10.1007/978-94-009-1816-0 otwiera się w nowej karcie
- Färe, R., & Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, 34(1), 35-49. https://doi.org/10.1016/S0038-0121(99)00012-9 otwiera się w nowej karcie
- Färe, R., & Lovell, C. A. K. (1978). Measuring the technical efficiency of production. Journal of Eco- nomic Theory, 19(1), 150-162. https://doi.org/10.1016/0022-0531(78)90060-1 otwiera się w nowej karcie
- Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1994). Productivity change in Swedish hospitals: A Malmquist output index approach. In A. Charnes, W. W. Cooper, A. Y. Lewin, & M. L. Seiford (Eds.), Data envelopment analysis: Theory, methodology and applications (pp. 253-272). Kluwer Academic Publishers. https://doi.org/10.1007/978-94-011-0637-5_13 otwiera się w nowej karcie
- Färe, R., Grosskopf, S., Lovell, C. A. K., & Pasurka, C. (1989). Multilateral productivity comparisons when some outputs are undesirable: A nonparametric approach. The Review of Economics and Statistics, 71(1), 90-98. https://doi.org/10.2307/1928055 otwiera się w nowej karcie
- Glavi, P., Lesjak, M., & Hirsbak, S. (2012, May 2-4). European training course on eco-efficiency. In 15 th European Roundtable on Sustainable Consumption and Production. Bregenz, Austria. Retrieved September 12, 2021, from https://vbn.aau.dk/en/publications/european-training-course-on-eco- efficiency otwiera się w nowej karcie
- Grochová, L. I., & Litzman, M. (2021). The efficiency in meeting measurable sustainable development goals. International Journal of Sustainable Development & World Ecology, 28(8), 709-719. https://doi.org/10.1080/13504509.2021.1882606 otwiera się w nowej karcie
- Guo, X., Lu, C. C., Lee, J. H., & Chiu, Y. H. (2017). Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China. Energy, 134, 392-399. https://doi.org/10.1016/j.energy.2017.06.040 otwiera się w nowej karcie
- Jankiewicz, M., & Pietrzak, M. B. (2020). Assesment of trends in the share of expenditure on services and food in the Visegrad Group member states. International Journal of Business and Society, 21(2), 977-996. https://doi.org/10.33736/ijbs.3306.2020 otwiera się w nowej karcie
- Kalra, M., Panicker, D., Dixit, A., Jain, R., & Thakur, B. K. (2021). Ensuring access to sustainable and affordable energy to all. In W. Leal Filho, A. Azul, L. Brandli, A. Lange Salvia, & T. Wall (Eds.), Affordable and clean energy, encyclopedia of the UN Sustainable Development Goals (pp. 619-629). otwiera się w nowej karcie
- Springer. https://doi.org/10.1007/978-3-319-71057-0_139-1 otwiera się w nowej karcie
- Kao, C. (2014). Network data envelopment analysis: A review. European Journal of Operational Research, 239(1), 1-16. https://doi.org/10.1016/j.ejor.2014.02.039 otwiera się w nowej karcie
- Kiani Mavi, R., & Kiani Mavi, N. (2021). National eco-innovation analysis with big data: A common- weights model for dynamic DEA. Technological Forecasting and Social Change, 162, 120369. https://doi.org/10.1016/j.techfore.2020.120369 otwiera się w nowej karcie
- Kiani Mavi, R., Saen, R., & Goh, M. (2019). Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach. Technological Forecasting and Social Change, 144, 553-562. https://doi.org/10.1016/j.techfore.2018.01.035 otwiera się w nowej karcie
- Kemp, R., Arundel, A., Rammer, C., Miedzinski, M., Tapia, C., Barbieri, N., Tűrkeli, S., Bassi, A. M., Mazzanti, M., Chapman, D., Diaz López, F., & McDowall, W. (2019). Maastricht manual on measur- ing eco-innovation for a green economy. Innovation for Sustainable Development Network. Maas- tricht, Netherlands. otwiera się w nowej karcie
- Koronakos, G. (2019). A taxonomy and review of the network data envelopment analysis literature. In G. Tsihrintzis, M. Virvou, E. Sakkopoulos, & L. Jain (Eds.), Machine learning paradigms. Learning and analytics in intelligent systems (pp. 255-311). Springer. https://doi.org/10.1007/978-3-030-15628-2_9 otwiera się w nowej karcie
- Kuosmanen, T. (2005). Measurement and analysis of eco-efficiency: An economist's perspective. Journal of Industrial Ecology, 9(4), 15-18. https://doi.org/10.1162/108819805775248025 otwiera się w nowej karcie
- Łącka, I., & Brzezicki, Ł. (2021). The efficiency and productivity evaluation of national innovation sys- tems in Europe. European Research Studies Journal, 24(3), 471-496. https://doi.10.35808/ersj/2440 otwiera się w nowej karcie
- Leal Filho, W., Fritzen, B., Ruiz Vargas, V., Paço, A., Zhang, Q., Doni, F., Azul, A. M., Vasconcelos, C. R. P., Nikolaou, I. E., Skouloudis, A., Weresa, M. A., Marczewska, M., Price, E., Anholon, R., Rampasso, I., Quelhas, O., Salvia, A. L., Ozuyar, P. G., Moggi, S., & Wu, Y. J. (2021). Social innovation for sus- tainable development: Assessing current trends. International Journal of Sustainable Development & World Ecology, 29(4), 311-322. https://doi.org/10.1080/13504509.2021.2013974 otwiera się w nowej karcie
- Li, H., Pang, S., Cao, Y., & Gao, J. (2021). Research on the evaluation of comprehensive efficiency of technological innovation and eco-environment in China. Journal of Cleaner Production, 283, 124603. https://doi.org/10.1016/j.jclepro.2020.124603 otwiera się w nowej karcie
- Łozowicka, A. (2020). Evaluation of the efficiency of sustainable development policy implementation in selected EU member states using DEA. The ecological dimension. Sustainability, 12(1), 435. https://doi.org/10.3390/su12010435 otwiera się w nowej karcie
- Madaleno, M., Moutinho, V., & Robaina, M. (2016). Economic and environmental assessment: EU cross-country. Efficiency ranking analysis. Energy Procedia, 106, 134-154. https://doi.org/10.1016/j.egypro.2016.12.111 otwiera się w nowej karcie
- Mardani, A., Streimikiene, D., Balezentis, T., Saman, M. Z. M., Nor, K. M., & Khoshnava, S. M. (2018). Data envelopment analysis in energy and environmental economics: An overview of the state-of- the-art and recent development trends. Energies, 11(8), 2002. https://doi.org/10.3390/en11082002 otwiera się w nowej karcie
- Mariz, F. B., Almeida, M. R., & Aloise, D. (2018). A review of Dynamic Data Envelopment Analysis: state of the art and applications. International Transactions in Operational Research, 25(2), 469-505. https://doi.org/10.1111/itor.12468 otwiera się w nowej karcie
- Miola, A., & Schiltz, F. (2019). Measuring sustainable development goals performance: How to monitor policy action in the 2030 agenda implementation? Ecological Economics, 164, 106373. https://doi.org/10.1016/j.ecolecon.2019.106373 otwiera się w nowej karcie
- Moutinho, V., & Madaleno, M. (2021a). A two-stage DEA model to evaluate the technical eco-efficiency indicator in the EU countries. International Journal of Environmental Research and Public Health, 18(6), 3038. https://doi.org/10.3390/ijerph18063038 otwiera się w nowej karcie
- Moutinho, V., & Madaleno, M. (2021b). Assessing eco-efficiency in Asian and African countries using stochastic frontier analysis. Energies, 14(4), 1168. https://doi.org/10.3390/en14041168 otwiera się w nowej karcie
- OECD. (2017). Green growth indicators 2017. OECD Publishing. https://doi.org/10.1787/9789264268586-en OECD. (2021). Data. Retrieved August 12, 2021, from https://data.oecd.org/ otwiera się w nowej karcie
- Pais-Magalhães, V., Moutinho, V., & Marques, A. C. (2021). Scoring method of eco-efficiency using the DEA approach: Evidence from European waste sectors. Environment, Development and Sustain- ability, 23(7), 9726-9748. https://doi.org/10.1007/s10668-020-00709-x. otwiera się w nowej karcie
- Park, M. S., Bleischewitz, R., Han, K. J., Jang, E. K., & Joo, J. H. (2017). Eco-innovation indices as tool for measuring eco-innovation. Sustainability, 9(12), 2206. https://doi.org/10.3390/su9122206 otwiera się w nowej karcie
- Rennings, K. (2000). Redefining innovation-Eco-innovation research and contribution from ecological economics. Ecological Economics, 32(2), 319-332. https://doi.org/10.1016/S0921-8009(99)00112-3 otwiera się w nowej karcie
- Sompolska-Rzechula, A., & Kurdyś-Kujawska, A. (2021). Towards understanding interactions between sustainable development goals: The role of climate-well-being linkages. Experience of EU countries. Energies, 14(7), 2025. https://doi.org/10.3390/en14072025 otwiera się w nowej karcie
- Stanković, J., Marjanović, I., & Stojković, N. (2021). DEA Assessment of socio-economic development of European countries. Management. Journal of Sustainable Business and Management Solutions in Emerging Economies, 26(1), 13-24. https://doi.org/10.7595/management.fon.2020.0012 otwiera się w nowej karcie
- Sustainable Development Solutions Network. (2021). Sustainable development report 2021. SDSN. Re- trieved September 2, 2021, from https://www.sdgindex.org/reports/ otwiera się w nowej karcie
- Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509. https://doi.org/10.1016/S0377-2217(99)00407-5 otwiera się w nowej karcie
- Tone, K. (2004). Malmquist productivity index: Efficiency change over time. In W. W. Cooper, L. M. Seiford, & J. Zhu (Eds.), International series in operations research & management science: Vol. 71. Handbook on data envelopment analysis (pp. 203-227). Springer. https://doi.org/10.1007/1-4020-7798-X_8 otwiera się w nowej karcie
- Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-base measure approach. European Journal of Operational Research, 197(1), 243-252. https://doi.org/10.1016/j.ejor.2008.05.027 otwiera się w nowej karcie
- Tone, K., & Tsutsui, M. (2010). Dynamic DEA: A slacks-based measure approach. Omega, 38(3-4), 145-156. https://doi.org/10.1016/j.omega.2009.07.003 otwiera się w nowej karcie
- Tone, K., & Tsutsui, M. (2014). Dynamic DEA with network structure: A slacks-based measure ap- proach. Omega, 42(1), 124-131. https://doi.org/10.1016/j.omega.2013.04.002 otwiera się w nowej karcie
- Tone, K., & Tsutsui, M. (2017). The dynamic network DEA model. In K. Tone (Ed.), Advances in DEA theory and applications with extensions to forecasting models (pp. 74-84). John Wiley & Sons. https://doi.org/10.1002/9781118946688.ch9 otwiera się w nowej karcie
- Tsaples, G., & Papathanasiou, J. (2021). Data envelopment analysis and the concept of sustainability: A review and analysis of the literature. Renewable and Sustainable Energy Reviews, 138, 110664. https://doi.org/10.1016/j.rser.2020.110664 otwiera się w nowej karcie
- United Nations. (1992a). United Nations sustainable development. Agenda 21. Retrieved September 7, 2021, from https://sustainabledevelopment.un.org/outcomedocuments/agenda21 otwiera się w nowej karcie
- United Nations. (1992b). United Nations framework convention on climate change. FCCC/INFOR- MAL/84 GE.05-62220 (E) 200705. Retrieved September 10, 2021, from https://unfccc.int/resource/ docs/convkp/conveng.pdf otwiera się w nowej karcie
- United Nations. (2015a). Transforming our world: The 2030 agenda for sustainable development. Geneva. otwiera się w nowej karcie
- United Nations. (2015b). Paris Agreement. Retrieved September 12, 2021, from https://unfccc.int/sites/ default/files/english_paris_agreement.pdf otwiera się w nowej karcie
- United Nations. (2015c). Indicators and a monitoring framework for the sustainable development goals. Launching a data revolution for the SDGs. Retrieved September 17, 2021, from https://resources.un- sdsn.org/indicators-and-a-monitoring-framework-for-sustainable-development-goals-launching-a- data-revolution-for-the-sdgs otwiera się w nowej karcie
- Vanhercke, B., Spasova, S., & Fronteddu, B. (2021). Social policy in the European Union: State of play 2020. Facing the pandemic. European Trade Union Institute (ETUI) and European Social Observa- tory (OSE). Retrieved September 20, 2021, from https://www.etui.org/publications/social-policy- european-union-state-play-2020 otwiera się w nowej karcie
- World Bank. (2021). Indicators. Retrieved August 10, 2021, from https://data.worldbank.org/indicator otwiera się w nowej karcie
- World Business Council for Sustainable Development. (2006). Eco-efficiency learning module. WBCSD. Retrieved September 12, 2021, from https://www.wbcsd.org/Projects/Education/Resources/Eco- efficiency-Learning-Module otwiera się w nowej karcie
- Yang, W.-C., Lu, W.-M., & Ramasamy, A. P. (2021). International environmental efficiency trends and the impact of the Paris Agreement. Energies, 14(15), 4503. https://doi.org/10.3390/en14154503 otwiera się w nowej karcie
- Yu, S., Liu, J., & Li, L. (2020). Evaluating provincial eco-efficiency in China: An improved network data envelopment analysis model with undesirable output. Environmental Science and Pollution Research, 27, 6886-6903. https://doi.org/10.1007/s11356-019-06958-2 otwiera się w nowej karcie
- Zalasiewicz, J., Waters, C., & Head, M. J. (2017). Anthropocene: Its straigraphic basis. Nature, 541, 289. https://doi.org/10.1038/541289b otwiera się w nowej karcie
- Zhang, Y., Mao, Y., Jiao, L., Shuai, C., & Zhang, H. (2021). Eco-efficiency, eco-technology innovation and eco-well-being performance to improve global sustainable development. Environmental Impact Assessment Review, 89, 106580. https://doi.org/10.1016/j.eiar.2021.106580 otwiera się w nowej karcie
- Zhou, H., Yang, Y., Chen, Y., Zhu, J., & Shi, Y. (2021). DEA application in sustainability 1996-2019: The origins, development, and future directions. In C. Chen, Y. Chen, & V. Jayaraman (Eds.), Interna- tional series in operations research & management science: Vol. 301. Pursuing sustainability. OR/MS applications in sustainable design, manufacturing, logistics, and resource management (pp. 71-109). otwiera się w nowej karcie
- Springer. https://doi.org/10.1007/978-3-030-58023-0_4 otwiera się w nowej karcie
- Kiani Mavi et al. (2019), Yang et al. (2021), Moutinho and Madaleno (2021a), Zhang et al. (2021), Li et al. (2021)
- Energy consumption Guo et al. (2017), Kiani Mavi et al. (2019), Łozowicka (2020), Yang et al. (2021), Li et al. (2021)
- Indicators of Eco-innovation Park et al. (2017), Kiani Mavi and Kiani Mavi (2021) SDG Grochová and Litzman (2021), Miola and Schiltz (2019), Sompolska- Rzechula and Kurdyś-Kujawska (2021), Cheba and Bąk (2021) Czechia 1.18 1.63 0.95 1.62 1.23 1.01 1.24 0.86 0.80 1.23 1.56 0.70 1.04 1.20 1.00 1.00 1.04 1.20
- G. m. 1.09 1.23 0.97 1.27 1.13 0.97 1.17 0.98 0.88 1.09 1.33 0.91 1.03 1.10 1.00 1.00 1.03 1.10 otwiera się w nowej karcie
- Note: MI -Malmquist Index; FS -Frontier-shift effect; CU -Catch-up effect; G. m. -Geometric mean; otwiera się w nowej karcie
- > 8 -2017->2018; 8 > 9 -2018->2019. otwiera się w nowej karcie
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