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Generalized Structured Component Analysis on the Relationship between Environmental Management, Social Factor, and Environmental Quality

Authors

Urwawuska Ladini UIN Sulthan Thaha Saifuddin Jambi

DOI:

https://doi.org/10.30631/demos.v3i1.1844

Keywords:

environmental quality, generalized structural component analysis, structured equation modeling

Abstract

One of the impacts of global warming that is still being felt today is related to environmental problems. Several factors have a relationship with environmental quality, both from a social and economic perspective. This study aims to determine the relationship between participation and environmental management, social factors, and environmental quality using SEM analysis, namely the generalized structured component analysis (GSCA) method. The data used in this study is from 34 provinces in Indonesia from 2016–2020, which concludes that in the measurement model, all indicators forming latent variables are valid and each latent variable has good convergent validity, which can explain each indicator. Likewise, in the structural model, all paths of influence between the three variables have a significant influence. The results of the analysis using the GSCA provide a good model of 54.4%, which can be explained by all the latent variables and indicators in the model.

References

BPS. (2022). Statistik Lingkungan Hidup Indonesia 2022. Badan Pusat Statistik. https://www.bps.go.id/publication.html

Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018). CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions. Energy Economics, 75, 180–192.

Fitrianto, A., Susetyo, B., & Setiawan, I. A. (2022). Structural Causality Between National Examination Score and the School Accreditation Categories. Jurnal Penelitian Pendidikan IPA (JPPIPA), 8(1).

Ghozali, I., & Kusumadewi, K. (2016). Model persamaan struktural PLS-PM GSCA RGCCA. Yoga Pratama.

Hwang, H., & Takane, Y. (2014). Generalized structured component analysis: A component-based approach to structural equation modeling. Chapman and Hall/CRC.

Hwang, H., W, D. S. S., & Y, T. (2007). Fuzzy clusterwise generalized structured component analysis. Psychometrika, 72(1), 181–198.

Hwang H, et al. (2013). A unified approach to multi-set canonical correlation analysis and principal component analysis: an application to functional neuroimaging data. Br. J. Math. Stat. Psychol., 66(1), 308–321.

Ladini, U. (2020). Penerapan Multilevel Generalized Structured Component Analysis untuk Melihat Hubungan antara Akreditasi dan Ujian Nasional. IPB University.

Mendonça, A. K. S., Barni, G. A. C., Moro, M. F., Bornia, A. C., Kupek, E., & Fernandes, L. (2020). Hierarchical modeling of the 50 largest economies to verify the impact of GDP, population and renewable energy generation in CO2 emissions. Sustainable Production and Consumption, 22, 58–67.

Nengsih, T. A., Abduh, M., Ladini, U., & Mubarak, F. (2023). The Impact of Islamic Financial Development, GDP, and Population on Environmental Quality in Indonesia. International Journal of Energy Economics and Policy, 17(1), 7–13.

Zulaicha, A. U., Sasana, H., & Septiani, Y. (2020). Analisis determinasi emisi Co2 Di Indonesia tahun 1990-2018. Dinamic: Directory Journal of Economic, 2(2), 487–500.