IMPACT OF ECONOMIC GROWTH AND GOVERNMENT SPENDING POLICIES ON CO2 EMISSIONS IN SOUTH SULAWESI: REGRESSION ANALYSIS AND EKC
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Sunu Kun Aziz*
Ahmad Romadhon
Eko Handoyo
In making effective policy responses to climate change, it is necessary to understand the mechanisms that influence CO2 emissions, given that it is becoming a more urgent global issue. This research investigates how economic growth is affected by the amount of government investment in environmental initiatives, and CO2 emissions in South Sulawesi, Indonesia, using a multiple linear regression and the Environmental Kuznets Curve (EKC) approach. By analyzing secondary data from 2018 to 2022, including Gross Regional Domestic Product (GRDP) per capita, government expenditures on climate change adaptation and mitigation, and CO2 emissions, the research assesses how economic and policy actions impact environmental results. The results reveal that while economic growth significantly increases CO2 emissions, government spending on climate-related activities substantially reduces emissions. However, the EKC model does not provide evidence for the theory that there is a curvilinear relationship between economic growth and CO2 emissions in the area. The results emphasize the importance of government interventions aimed at reducing the environmental effects of economic activities and emphasize the necessity of wisely distributing public funds towards achieving sustainable development goals in South Sulawesi.
Badan Pusat Statistik Provinsi Sulawesi Selatan. (n.d.). PDRB per kapita [Data set]. Retrieved 2024, from https://sulsel.bps.go.id/
Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica: Journal of the Econometric Society, 1287–1294.
Gujarati, D. N. (2003). Data disk to accompany Basic Econometrics.
Hermawan, W. (2017). Pengaruh Belanja Pemerintah Pusat Untuk Fungsi Lingkungan Hidup Terhadap Pertumbuhan Ekonomi Indonesia.
Irrawati, M. D., & Mukaramah, M. (2024). Implementasi Metode Regresi Linear Berganda untuk Mengatasi Pelanggaran Asumsi Klasik. Studi Akuntansi, Keuangan, Dan Manajemen, 3(2), 83–94.
Kementerian Keuangan Republik Indonesia. (2024). Data Belanja Kementerian/Lembaga Lingkup Sulawesi Selatan 2018-2022. Sintesa Kemenkeu. Diakses melalui intranet Kementerian Keuangan dari https://sintesa.kemenkeu.go.id/v3/data/form/belanja.
Kementerian Lingkungan Hidup dan Kehutanan. (n.d.). Signsmart [Data set]. Retrieved September 2024, from https://signsmart.menlhk.go.id/v2.1/app/.
Priyanto, M. W. (2021). Pengaruh perubahan iklim terhadap produk domestik regional bruto sektor pertanian. Agritech: Jurnal Fakultas Pertanian Universitas Muhammadiyah Purwokerto, 23(2), 91–98.
Stern, D. I. (2014). The environmental Kuznets curve: A primer.
Thadewald, T., & Büning, H. (2007). Jarque–Bera test and its competitors for testing normality–a power comparison. Journal of Applied Statistics, 34(1), 87–105.
Thode, J. R. (2002). Testing for Normality. Marcel Dekker, New York.
