Assessing the role of ecological innovation and economic growth in enhancing educational performance: evidence of BRICS countries

References

• Aboramadan, M. (2022). The effect of green HRM on employee green behaviors in higher education: The mediating mechanism of green work engagement. International Journal of Organizational Analysis, 30(1), 7–23. https://doi.org/10.1108/IJOA-05-2020-2190
   Web of Science ®Google Scholar
• Agasisti, T., & Bertoletti, A. (2020). Higher education and economic growth: A longitudinal study of European regions 2000–2017. Socio-Economic Planning Sciences, 100940, 1–18.
   Google Scholar
• Ahmad, M., & Zheng, J. (2021). Do innovation in environmental-related technologies cyclically and asymmetrically affect environmental sustainability in BRICS nations? Technology in Society, 67, 101746. https://doi.org/10.1016/j.techsoc.2021.101746
   Web of Science ®Google Scholar
• Ahmad, M., Jiang, P., Murshed, M., Shehzad, K., Akram, R., Cui, L., & Khan, Z. (2021). Modelling the dynamic linkages between eco-innovation, urbanization, economic growth and ecological footprints for G7 countries: does financial globalization matter? Sustainable Cities and Society, 70, 102881. https://doi.org/10.1016/j.scs.2021.102881
   Web of Science ®Google Scholar
• Arar, K. H. (2021). Research on refugees’ pathways to higher education since 2010: A systematic review. Review of Education, 9(3), e3303. https://doi.org/10.1002/rev3.3303
   Web of Science ®Google Scholar
• Assi, A. F., Isiksal, A. Z., & Tursoy, T. (2021). Renewable energy consumption, financial development, environmental pollution, and innovations in the ASEAN+ 3 group: Evidence from (P-ARDL) model. Renewable Energy, 165, 689–700. https://doi.org/10.1016/j.renene.2020.11.052
   Web of Science ®Google Scholar
• Bai, J., & Carrion-I-Silvestre, J. L. (2009). Structural changes, common stochastic trends, and unit roots in panel data. The Review of Economic Studies, 76(2), 471–501.
   Web of Science ®Google Scholar
• Banerjee, A., & Carrion‐i‐Silvestre, J. L. (2017). Testing for panel cointegration using common correlated effects estimators. Journal of Time Series Analysis, 38(4), 610–636. https://doi.org/10.1111/jtsa.12234
   Web of Science ®Google Scholar
• Benayas, R., José, M., & Scheiner, S. M. (2002). Plant diversity, biogeography and environment in Iberia: Patterns and possible causal factors. Journal of Vegetation Science, 13(2), 245–258. https://doi.org/10.1111/j.1654-1103.2002.tb02045.x
   Web of Science ®Google Scholar
• Blaskó, Z., Costa, P. D., & Schnepf, S. V. (2022). Learning losses and educational inequalities in Europe: Mapping the potential consequences of the COVID-19 crisis. Journal of European Social Policy, 32(4), 361–375. https://doi.org/10.1177/09589287221091687
   PubMed Web of Science ®Google Scholar
• Blok, V. (2021). What Is Innovation?: Laying the Ground for a Philosophy of Innovation. Techné: Research in Philosophy and Technology, 25(1), 72–96. https://doi.org/10.5840/techne2020109129
   Google Scholar
• Bratianu, C., Stanescu, D. F., & Mocanu, R. (2021). Exploring the knowledge management impact on business education. Sustainability, 13(4), 2313. https://doi.org/10.3390/su13042313
   Web of Science ®Google Scholar
• Browning, M. H., & Rigolon, A. (2019). School green space and its impact on academic performance: A systematic literature review. International Journal of Environmental Research and Public Health, 16(3), 429. https://doi.org/10.3390/ijerph16030429
   PubMed Web of Science ®Google Scholar
• Cai, Y., Ma, J., & Chen, Q. (2020). Higher education in innovation eco-systems. Sustainability, 12(11), 4376. https://doi.org/10.3390/su12114376
   Web of Science ®Google Scholar
• Carrion-I-Silvestre, J. L., del Barrio-Castro, T., & Lopez-Bazo, E. (2005). Breaking the panels: An application to the GDP per capita. The Econometrics Journal, 8, 159–175.
   Web of Science ®Google Scholar
• Chege, S. M., Wang, D., & Suntu, S. L. (2020). Impact of information technology innovation on firm performance in Kenya. Information Technology for Development, 26(2), 316–345. https://doi.org/10.1080/02681102.2019.1573717
   Web of Science ®Google Scholar
• Chen, H., Tackie, E. A., Ahakwa, I., Musah, M., Salakpi, A., Alfred, M., & Atingabili, S. (2022). Does energy consumption, economic growth, urbanization, and population growth influence carbon emissions in the BRICS? Evidence from panel models robust to cross-sectional dependence and slope heterogeneity. Environmental science and Pollution Research International, 29(25), 37598–37616. https://doi.org/10.1007/s11356-021-17671-4
   PubMed Web of Science ®Google Scholar
• Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272. https://doi.org/10.1016/S0261-5606(00)00048-6
   Web of Science ®Google Scholar
• Choi, I. (2006). Combination unit root tests for cross-sectionally correlated panels, chapter 12. In D. Corbae, S. N. Durlauf & B. E. Hansen (eds.), Econometrics theory and practice: frontiers of analysis and applied research, 311 (p. 333). Cambridge: Cambridge University Press.
   Google Scholar
• Chudik, A., & Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of Econometrics, 188(2), 393–420. https://doi.org/10.1016/j.jeconom.2015.03.007
   Web of Science ®Google Scholar
• Churchill, S. A., Inekwe, J., Smyth, R., & Zhang, X. (2019). R&D intensity and carbon emissions in the G7: 1870–2014. Energy Economics, 80, 30–37.
   Web of Science ®Google Scholar
• Coman, A. C., Lupu, D., & Nuţă, F. M. (2022). The impact of public education spending on economic growth in Central and Eastern Europe. An ARDL Approach with Structural Break. Economic Research-Ekonomska Istraživanja, 1–18.
   Google Scholar
• Davis, K. A., & Knight, D. B. (2021). Comparing students’ study abroad experiences and outcomes across global contexts. International Journal of Intercultural Relations, 83, 114–127. https://doi.org/10.1016/j.ijintrel.2021.05.003
   Web of Science ®Google Scholar
• Diebolt, C., & Hippe, R. (2022). The long-run impact of human capital on innovation and economic growth in the regions of Europe. In Human Capital and Regional Development in Europe (pp. 85–115). Springer.
   Google Scholar
• Donou-Adonsou, F. (2019). Technology, education, and economic growth in Sub-Saharan Africa. Telecommunications Policy, 43(4), 353–360. https://doi.org/10.1016/j.telpol.2018.08.005
   Web of Science ®Google Scholar
• Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital transformation and environmental sustainability: A review and research agenda. Sustainability, 13(3), 1530. https://doi.org/10.3390/su13031530
   Web of Science ®Google Scholar
• Hanushek, E. A., & Woessmann, L. (2020). A quantitative look at the economic impact of the European Union’s educational goals. Education Economics, 28(3), 225–244.
   Web of Science ®Google Scholar
• Hanushek, E. A., & Woessmann, L. (2021). Education and economic growth. Oxford Research Encyclopedia of Economics and Finance. https://doi.org/10.1093/acrefore/9780190625979.013.651
   Google Scholar
• Hao, Y., Fan, C., Long, Y., & Pan, J. (2019). The role of returnee executives in improving green innovation performance of Chinese manufacturing enterprises: Implications for sustainable development strategy. Business Strategy and the Environment, 28(5), 804–818. https://doi.org/10.1002/bse.2282
   Web of Science ®Google Scholar
• He, K., Chen, W., & Zhang, L. (2021). Senior management’s academic experience and corporate green innovation. Technological Forecasting and Social Change, 166, 120664. https://doi.org/10.1016/j.techfore.2021.120664
   Web of Science ®Google Scholar
• Hsu, C. C., Quang-Thanh, N., Chien, F., Li, L., & Mohsin, M. (2021). Evaluating green innovation and financial development performance: mediating environmental regulation concerns. Environmental science and Pollution Research International, 28(40), 57386–57397. https://doi.org/10.1007/s11356-021-14499-w
   PubMed Web of Science ®Google Scholar
• Ibrahim, R. L., Ozturk, I., Al-Faryan, M., A., S., & Al-Mulali, U. (2022). Exploring the nexuses of disintegrated energy consumption, structural change, and financial development on environmental sustainability in BRICS: Modulating roles of green innovations and regulatory quality. Sustainable Energy Technologies and Assessments, 53, 102529. https://doi.org/10.1016/j.seta.2022.102529
   Web of Science ®Google Scholar
• Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
   Web of Science ®Google Scholar
• Islam, M., Islam, M. S., Siddik, M. A. B., & Mousumi, S. S. S. (2021). Analyzing the Cause of Students Reluctant to Participate in the Classroom: Machine Learning Approach [Paper presentation]. 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), December (pp. 484–488). IEEE. https://doi.org/10.1109/SMART52563.2021.9676223
   Google Scholar
• Jalil, A. (2014). Energy–growth conundrum in energy exporting and importing countries: Evidence from heterogeneous panel methods robust to cross-sectional dependence. Energy Economics, 44, 314–324. https://doi.org/10.1016/j.eneco.2014.04.015
   Web of Science ®Google Scholar
• Jamel, L., Ltaifa, M. B., Elnagar, A. K., Derbali, A., & Lamouchi, A. (2020). The Nexus between education and economic growth: Analyzing empirically a case of middle-income countries. Virtual Economics, 3(2), 43–60. https://doi.org/10.34021/ve.2020.03.02(3)
   Google Scholar
• Jorgenson, D. W., & Fraumeni, B. M. (2020). Investment in education and US economic growth. In The US savings challenge (pp. 114–149). Routledge.
   Google Scholar
• Kao, C., Chiang, M. H., & Chen, B. (1999). International R&D spillovers: An application of estimation and inference in panel cointegration. Oxford Bulletin of Economics and Statistics, 61(S1), 691–709. https://doi.org/10.1111/1468-0084.61.s1.16
   Google Scholar
• Kiefer, C. P., Del Rio Gonzalez, P., & Carrillo‐Hermosilla, J. (2019). Drivers and barriers of eco‐innovation types for sustainable transitions: A quantitative perspective. Business Strategy and the Environment, 28(1), 155–172. https://doi.org/10.1002/bse.2246
   Web of Science ®Google Scholar
• Larsson, R., Lyhagen, J., & Löthgren, M. (2001). Likelihood‐based cointegration tests in heterogeneous panels. The Econometrics Journal, 4(1), 109–142. https://doi.org/10.1111/1368-423X.00059
   Google Scholar
• Latief, R., Sattar, U., Javeed, S. A., Gull, A. A., & Pei, Y. (2022). The environmental effects of urbanization, education, and green innovation in the Union for Mediterranean Countries: Evidence from quantile regression model. Energies, 15(15), 5456. https://doi.org/10.3390/en15155456
   Web of Science ®Google Scholar
• Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: Asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7
   Web of Science ®Google Scholar
• Li, H., Khattak, S. I., & Ahmad, M. (2021). Measuring the impact of higher education on environmental pollution: New evidence from thirty provinces in China. Environmental and Ecological Statistics, 28(1), 187–217. https://doi.org/10.1007/s10651-020-00480-2
   Web of Science ®Google Scholar
• Li, L., Li, G., Ozturk, I., & Ullah, S. (2022). Green innovation and environmental sustainability: Do clean energy investment and education matter? Energy & Environment, 0958305X221115096, 0958305X2211150. https://doi.org/10.1177/0958305X221115096
   Google Scholar
• Li, X., & Ullah, S. (2022). Caring for the environment: How CO2 emissions respond to human capital in BRICS economies? Environmental science and Pollution Research International, 29(12), 18036–18046. https://doi.org/10.1007/s11356-021-17025-0
   PubMed Web of Science ®Google Scholar
• Liao, L., Du, M., Wang, B., & Yu, Y. (2019). The impact of educational investment on sustainable economic growth in Guangdong, China: A cointegration and causality analysis. Sustainability, 11(3), 766. https://doi.org/10.3390/su11030766
   Web of Science ®Google Scholar
• Lo, M. F., & Tian, F. (2020). Enhancing competitive advantage in Hong Kong higher education: Linking knowledge sharing, absorptive capacity and innovation capability. Higher Education Quarterly, 74(4), 426–441. https://doi.org/10.1111/hequ.12244
   Web of Science ®Google Scholar
• Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631–652. https://doi.org/10.1111/1468-0084.0610s1631
   Google Scholar
• Maneejuk, P., & Yamaka, W. (2021). The impact of higher education on economic growth in ASEAN-5 countries. Sustainability, 13(2), 520. https://doi.org/10.3390/su13020520
   Web of Science ®Google Scholar
• Marra, A., & Colantonio, E. (2021). The path to renewable energy consumption in the European Union through drivers and barriers: A panel vector autoregressive approach. Socio-Economic Planning Sciences, 76, 100958. https://doi.org/10.1016/j.seps.2020.100958
   Web of Science ®Google Scholar
• McCoskey, S., & Kao, C. (1998). A residual-based test of the null of cointegration in panel data. Econometric Reviews, 17(1), 57–84. https://doi.org/10.1080/07474939808800403
   Google Scholar
• Mehmood, U. (2021). Contribution of renewable energy towards environmental quality: The role of education to achieve sustainable development goals in G11 countries. Renewable Energy, 178, 600–607. https://doi.org/10.1016/j.renene.2021.06.118
   Web of Science ®Google Scholar
• Moon, H. R., & Perron, B. (2012). Beyond panel unit root tests: Using multiple testing to determine the nonstationarity properties of individual series in a panel. Journal of Econometrics, 169(1), 29–33. https://doi.org/10.1016/j.jeconom.2012.01.008
   Web of Science ®Google Scholar
• Nguyen Dang, H. A., Khan, A., Doan, A. T., & Ibbett, N. (2022). The social impact of green innovation: Towards a conceptual framework. International Journal of Public Administration, 45(5), 399–411. https://doi.org/10.1080/01900692.2021.1913747
   Web of Science ®Google Scholar
• Noureen, S., Iqbal, J., & Chishti, M. Z. (2022). Exploring the dynamic effects of shocks in monetary and fiscal policies on the environment of developing economies: Evidence from the CS-ARDL approach. Environmental science and Pollution Research International, 29(30), 45665–45682. https://doi.org/10.1007/s11356-022-19095-0
   PubMed Web of Science ®Google Scholar
• Nuryakin, N., & Maryati, T. (2022). Do green innovation and green competitive advantage mediate the effect of green marketing orientation on SMEs’ green marketing performance? Cogent Business & Management, 9(1), 2065948. https://doi.org/10.1080/23311975.2022.2065948
   Web of Science ®Google Scholar
• Pathak, L., & Shah, K. (2019). Renewable energy resources, policies and gaps in BRICS countries and the global impact. Frontiers in Energy, 13(3), 506–521. https://doi.org/10.1007/s11708-018-0601-z
   Web of Science ®Google Scholar
• Pedroni, P. (2001). Purchasing power parity tests in co-integrated panels. Review of Economics and Statistics, 83(4), 727–731. https://doi.org/10.1162/003465301753237803
   Web of Science ®Google Scholar
• Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(03), 597–625. https://doi.org/10.1017/S0266466604203073
   Web of Science ®Google Scholar
• Peng, Z. (2022). Path realization and analysis of synergy between ecological environment development and innovative entrepreneurship education. Journal of Environmental and Public Health, 2022, 8634134. https://doi.org/10.1155/2022/8634134
   PubMed Web of Science ®Google Scholar
• Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265–312. https://doi.org/10.1002/jae.951
   Web of Science ®Google Scholar
• Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6–10), 1089–1117. https://doi.org/10.1080/07474938.2014.956623
   Web of Science ®Google Scholar
• Pesaran, M. H., & Tosetti, E. (2011). Large panels with common factors and spatial correlation. Journal of Econometrics, 161(2), 182–202. https://doi.org/10.1016/j.jeconom.2010.12.003
   Web of Science ®Google Scholar
• Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50–93. https://doi.org/10.1016/j.jeconom.2007.05.010
   Web of Science ®Google Scholar
• Pesaran, M. H., & Yamagata, T. (2017). Testing for Alpha in Linear Factor Pricing Models with a Large Number of Securities. CESifo Working Paper, No. 6432, Center for Economic Studies and ifo Institute (CESifo), Munich.
   Google Scholar
• Rasool, H., Maqbool, S., & Tarique, M. (2021). The relationship between tourism and economic growth among BRICS countries: A panel cointegration analysis. Future Business Journal, 7(1), 1–11. https://doi.org/10.1186/s43093-020-00048-3
   Web of Science ®Google Scholar
• Salim, R., Yao, Y., & Chen, G. S. (2017). Does human capital matter for energy consumption in China? Energy Economics, 67, 49–59. https://doi.org/10.1016/j.eneco.2017.05.016
   Web of Science ®Google Scholar
• Sarwar, S., Streimikiene, D., Waheed, R., & Mighri, Z. (2021). Revisiting the empirical relationship among the main targets of sustainable development: Growth, education, health and carbon emissions. Sustainable Development, 29(2), 419–440. https://doi.org/10.1002/sd.2156
   Web of Science ®Google Scholar
• Sharma, R., Sinha, A., & Kautish, P. (2021). Examining the nexus between export diversification and environmental pollution: Evidence from BRICS nations. Environmental science and Pollution Research International, 28(43), 61732–61747. https://doi.org/10.1007/s11356-021-14889-0
   PubMed Web of Science ®Google Scholar
• Shaturaev, J. (2021). Indonesia: Superior policies and management for better education (Community development through education). Архив научных исследований, 1(1), 22–37.
   Google Scholar
• Shoaib, M., Zámečník, R., Abbas, Z., Javed, M., & Rehman, A. U. (2021). Green human resource management and green human capital: A systematic literature review. In Contemporary issues in business, management and economics engineering. Proceedings of the International Scientific Conference in Vilnius (pp. 1–10).
   Google Scholar
• Stehlik, T. (2018). International comparisons and case studies. In Educational Philosophy for 21st Century Teachers (pp. 203–232). Palgrave Macmillan.
   Google Scholar
• Surkhali, B., & Garbuja, C. K. (2020). Virtual learning during COVID-19 pandemic: Pros and cons. Journal of Lumbini Medical College, 8(1), 154–155.
   Google Scholar
• Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311–323.
   Web of Science ®Google Scholar
• Wang, C., Qiao, C., Ahmed, R. I., & Kirikkaleli, D. (2021). Institutional quality, bank finance and technological innovation: A way forward for fourth industrial revolution in BRICS economies. Technological Forecasting and Social Change, 163, 120427. https://doi.org/10.1016/j.techfore.2020.120427
   Web of Science ®Google Scholar
• Westerlund, J. (2005). New simple tests for panel cointegration. Econometric Reviews, 24(3), 297–316. https://doi.org/10.1080/07474930500243019
   Web of Science ®Google Scholar
• Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
   Web of Science ®Google Scholar
• Westerlund, J., & Edgerton, D. L. (2008). A simple test for cointegration in dependent panels with structural breaks. Oxford Bulletin of Economics and Statistics, 70(5), 665–704. https://doi.org/10.1111/j.1468-0084.2008.00513.x
   Web of Science ®Google Scholar
• Xing, J., & Fuest, C. (2018). Central-local government fiscal relations and cyclicality of public spending: Evidence from China. International Tax and Public Finance, 25(4), 946–980. https://doi.org/10.1007/s10797-017-9478-8
   Web of Science ®Google Scholar
• Yang, S., Liu, W., & Zhang, Z. (2022). The dynamic value of China’s high-tech zones: Direct and indirect influence on urban ecological innovation. Land, 11(1), 59. https://doi.org/10.3390/land11010059
   Web of Science ®Google Scholar
• Yao, Y., Ivanovski, K., Inekwe, J., & Smyth, R. (2019). Human capital and energy consumption: Evidence from OECD countries. Energy Economics, 84, 104534. https://doi.org/10.1016/j.eneco.2019.104534
   Web of Science ®Google Scholar
• Zafar, M. W., Saleem, M. M., Destek, M. A., & Caglar, A. E. (2022). The dynamic linkage between remittances, export diversification, education, renewable energy consumption, economic growth, and CO2 emissions in top remittance‐receiving countries. Sustainable Development, 30(1), 165–175. https://doi.org/10.1002/sd.2236
   Web of Science ®Google Scholar
• Zahra, S. A. (2021). International entrepreneurship in the post Covid world. Journal of World Business, 56(1), 101143. https://doi.org/10.1016/j.jwb.2020.101143
   Web of Science ®Google Scholar
• Zhang, D., Mohsin, M., Rasheed, A. K., Chang, Y., & Taghizadeh-Hesary, F. (2021). The mediating role of green finance is public spending and green economic growth in BRI region. Energy Policy, 153, 112256. https://doi.org/10.1016/j.enpol.2021.112256
   Web of Science ®Google Scholar
• Zhang, H. (2021). Technology innovation, economic growth and carbon emissions in the context of carbon neutrality: Evidence from BRICS. Sustainability, 13(20), 11138. https://doi.org/10.3390/su132011138
   Web of Science ®Google Scholar
• Zhang, Y., & Dilanchiev, A. (2022). Economic recovery, industrial structure and natural resource utilization efficiency in China: Effect on green economic recovery. Resources Policy, 79, 102958. https://doi.org/10.1016/j.resourpol.2022.102958
   Web of Science ®Google Scholar