Research on World Agricultural Economy

The Economic Growth with Low Carbon Emissions: Evidence from Indonesian 10 Provinces

Heru Wahyudi

Faculty of Economics and Business, University of Lampung, Bandar Lampung 35145, Indonesia

I Wayan Suparta

Faculty of Economics and Business, University of Lampung, Bandar Lampung 35145, Indonesia

Thomas Andrian

Faculty of Economics and Business, University of Lampung, Bandar Lampung 35145, Indonesia

Ukhti Ciptawaty

Faculty of Economics and Business, University of Lampung, Bandar Lampung 35145, Indonesia

Ahmad Dhea Pratama

Faculty of Economics and Business, University of Lampung, Bandar Lampung 35145, Indonesia

DOI: https://doi.org/10.36956/rwae.v6i1.1329

Received: 15 September 2024 | Revised: 30 October 2024 | Accepted: 5 November 2024 | Published Online: 7 February 2025

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Abstract

This study investigates potential measures to reduce CO2 emissions in Indonesia, focusing on ten provinces in Sumatra. The high dependency on fossil fuels has led to significant environmental issues, particularly CO2 emissions. The research examines potential ways to mitigate these emissions and evaluates whether they are influenced by economic activities across regions. Using panel data from 2017 to 2023, this quantitative descriptive study includes ten provinces in Sumatra and six in Java, employing spatial regression analysis. The variables analyzed are CO2 emissions, industrial agglomeration, GRDP of the manufacturing sector, GRDP of mining and quarrying, GRDP of agriculture, fisheries, and plantations, as well as GRDP of wholesale and retail trade, including vehicle repair. The findings reveal a positive Moran's I value for CO2 emissions, indicating a clustered pattern among the ten provinces in Sumatra over the study period. Industrial agglomeration, manufacturing GRDP, mining and quarrying GRDP, and GRDP in agriculture, fisheries, and plantations are positively and spatially correlated with CO2 emissions. Conversely, GRDP from wholesale and retail trade has a significant negative impact on emissions. Policy recommendations include reducing carbon emissions, promoting sustainable sectoral development, adopting green technologies, and conducting regular evaluations to ensure environmental and economic sustainability.

Keywords: Spatial Regression; Lissa; Economy; Renewable Energy; CO2 Emissions

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References

[1] Madsuha, A.F., Setiawan, E.A., Wibowo, N., et al., 2021. Mapping 30 years of sustainability of solar energy research in developing countries: Indonesia case. Sustain. 13(20). DOI: https://doi.org/10.3390/su132011415

[2] Wahyudi, H., Suripto, Palupi, W.A., 2023. Long-term implications of economic complexity and energy intensity on the environment in lower-middle-income countries in Asia. Int. J. Energy Econ. Policy. 13(1), 164–171. DOI: https://doi.org/10.32479/ijeep.13737

[3] Dat, N.D., Hoang, N., Huyen, M.T., et al., 2020. Energy consumption and economic growth in Indonesia. Int. J. Energy Econ. Policy. 10(5), 601–607. DOI: https://doi.org/10.32479/ijeep.10243

[4] Hanh, H.T., Huy, D.T.N., Dat, P.M., 2020. Utilization of energy sources, financial stability and prosperity in the economy of Indonesia. Int. J. Energy Econ. Policy. 10(5), 631–637. DOI: https://doi.org/10.32479/ijeep.10242

[5] Fallin, D., Lee, K., Poling, G.B., 2023. Clean energy and decarbonization in Southeast Asia: Overview, obstacles, and opportunities. Center for Strategic and International Studies. 1–15. Available from: https://csis-website-prod.s3.amazonaws.com/s3fs-public/2023-05/230501_Fallin_SEA_Decarbonization.pdf?VersionId=mZRX4SCptRpseo_OB5sds9ocp0uiS1VG

[6] Indonesia Petroleum Association, Wood Mackenzie, 2023. Achieving resilience in the energy transition to safeguard Indonesia’s economic growth & sustainable development.

[7] Kyriakopoulos, G.L., Sebos, I., 2023. Enhancing climate neutrality and resilience through coordinated climate action: Review of the synergies between mitigation and adaptation actions. Climate. 11(5). DOI: https://doi.org/10.3390/cli11050105

[8] Kyriakopoulos, G.L., Sebos, I., Triantafyllou, E., et al., 2023. Benefits and synergies in addressing climate change via the implementation of the common agricultural policy in Greece. Appl. Sci. 13(4). DOI: https://doi.org/10.3390/app13042216

[9] Kyriakopoulos, G.L., 2022. Energy communities overview: Managerial policies, economic aspects, technologies, and models. J. Risk Financ. Manag. 15(11). DOI: https://doi.org/10.3390/jrfm15110521

[10] Wahyudi, H., 2024. The relationship between the renewable energy and CO2 emissions to the Indonesian economy. Int. J. Energy Econ. Policy. 14(3), 349–357. DOI: https://doi.org/10.32479/ijeep.15903

[11] Raihan, A., Pavel, M.I., Muhtasim, D.A., et al., 2023. The role of renewable energy use, technological innovation, and forest cover toward green development: Evidence from Indonesia. Innov. Green Dev. 2(1), 100035. DOI: https://doi.org/10.1016/j.igd.2023.100035

[12] Mardiana, D.A., Kartoatmodjo, R.T., Kasmungin, S., 2018. Estimation of Indonesia’s energy demand to 2030 and alternatives scenario to reduce oil dependence. Indones. J. Energy. 1(2), 113–126. DOI: https://doi.org/10.33116/ije.v1i2.24

[13] Paundra, F., Nurdin, A., 2022. Study of the potential and development of renewable energy power in Indonesia: A review. Steam Eng. 3(2), 62–72. DOI: https://doi.org/10.37304/jptm.v3i2.4024

[14] Zhu, J., Bailly, A., Zwiewka, M., et al., 2016. TWISTED DWARF1 mediates the action of auxin transport inhibitors on actin cytoskeleton dynamics. Plant Cell. 28(4), 930–948.

[15] Shahbaz, M., Tiwari, A.K., Nasir, M., 2013. The effects of financial development, economic growth, coal consumption and trade openness on CO2 emissions in South Africa. Energy Policy. 61, 1452–1459. DOI: https://doi.org/10.1016/j.enpol.2013.07.006

[16] Kasman, A., Duman, Y.S., 2015. CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis. Econ. Model. 44, 97–103. DOI: https://doi.org/10.1016/j.econmod.2014.10.022

[17] Mazur, D.M., Polyakova, O.V., Artaev, V.B., et al., 2017. Novel pollutants in the Moscow atmosphere in winter period: Gas chromatography-high resolution time-of-flight mass spectrometry study. Environ. Pollut. 222, 242–250. DOI: https://doi.org/10.1016/j.envpol.2016.12.049

[18] Handayani, I.G.A.K.R., As’Adi, E., Hamzah, G., et al., 2017. Relationship between energy consumption in international market and Indonesia prices regulation. Int. J. Energy Econ. Policy. 7(5), 9–15.

[19] Chen, Y., Zhu, M., Zhou, Q., et al., 2021. Research on spatiotemporal differentiation and influence mechanism of urban resilience in China based on MGWR model. Int. J. Environ. Res. Public Health. 18(3), 1–27. DOI: https://doi.org/10.3390/ijerph18031056

[20] Anselin, L., 1995. Local indicators of spatial association—LISA. Geogr. Anal. 27(2), 93–115. DOI: https://doi.org/10.1111/j.1538-4632.1995.tb00338.x

[21] Feng, R., Liu, S., Wang, F., et al., 2024. Quantifying the environmental synergistic effect of cooling-air purification-carbon sequestration from urban forest in China. J. Clean. Prod. 448, 141514. DOI: https://doi.org/10.1016/j.jclepro.2024.141514

[22] Cui, Y., Zhong, C., Cao, J., et al., 2024. Spatial effect of carbon neutrality target on high-quality economic development—Channel analysis based on total factor productivity. PLoS One. 19(1), 1–27. DOI: https://doi.org/10.1371/journal.pone.0295426

[23] Yang, Y., Tang, D., Zhang, P., 2020. Double effects of environmental regulation on carbon emissions in China: Empirical research based on spatial econometric model. Discret. Dyn. Nat. Soc. 2020. DOI: https://doi.org/10.1155/2020/1284946.

[24] Li, L., Chi, T., Wang, S., 2016. Is energy utilization among Chinese provinces sustainable? Technol. Forecast. Soc. Change. 112, 198–206. DOI: https://doi.org/10.1016/j.techfore.2016.07.003

[25] Xu, X., Song, Y., 2023. Is there a conflict between automation and environment? Implications of artificial intelligence for carbon emissions in China. Sustain. 15(16). DOI: https://doi.org/10.3390/su151612437

[26] Lan, K., Kelley, S.S., Nepal, P., et al., 2019. Dynamic life cycle carbon and energy analysis for cross-laminated timber in the Southeastern United States. Environ. Res. Lett. 15(12). DOI: https://doi.org/10.1088/1748-9326/abc5e6

[27] Wei, H., Zheng, C., 2024. Spatial network structure and influencing factors of carbon emission intensity in Guangdong-Hong Kong-Macao Greater Bay Area. Front. Environ. Sci. 12, 1–21. DOI: https://doi.org/10.3389/fenvs.2024.1380831

[28] Huang, N., Liu, C., Liu, Y., et al., 2024. Spatial effects of economic modernization on carbon balance in China. Land. 13(5), 1–19. DOI: https://doi.org/10.3390/land13050595

[29] Wang, X., Zhang, R., Jiang, T., 2024. Energy justice and decarbonization: A critical assessment for just energy transition in China. Environ. Impact Assess. Rev. 105, 107420. DOI: https://doi.org/10.1016/j.eiar.2024.107420