Carbon Emissions and Urbanization in ASEAN-5 Countries
DOI:
https://doi.org/10.12928/optimum.v12i2.6582Abstract
The population in the world reach 7.5 billion in 2019. Population living in urban area is one of the drivers of cabon emissions. This study aims to estimate the relationship between urbanization, GDP, trade openness, and coal consumption on carbon dioxide emissions in ASEAN-5 countries which are Indonesia, Malaysia, Thailand, Philippines, and Vietnam from 1990 to 2020. The data generated from British Petroleum and World Bank. This current study employs Fixed-Effect estimation model to estimate the data. The result revealed there is positive relationship between urban population as proxy of urbanization, GDP, trade openness, and coal consumption. Policies should highlight the utilization of low-carbon techlonogies and renewable energy to reduce carbon emissions.
References
Al Faizah, S. A., Mafruhah, I., & Sarungu, J. J. (2020). Does Women’s Reproductive Health and Empowerment Affect Female Labor Participation in ASEAN? Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi Dan Pembangunan, 21(1), 32–39. https://doi.org/10.23917/jep.v21i1.10387
Anees, S., Zaidi, H., Hou, F., & Mirza, F. M. (2018). The role of renewable and non-renewable energy consumption in CO 2 emissions : a disaggregate analysis of Pakistan.
Ansari, M. A., Haider, S., & Khan, N. A. (2020). Does trade openness affects global carbon dioxide emissions: Evidence from the top CO2 emitters. Management of Environmental Quality: An International Journal, 31(1), 32–53. https://doi.org/10.1108/MEQ-12-2018-0205
Anwar, A., Younis, M., & Ullah, I. (2020). Impact of urbanization and economic growth on CO2 emission: A case of far east Asian countries. International Journal of Environmental Research and Public Health, 17(7). https://doi.org/10.3390/ijerph17072531
Charfeddine, L., & Barkat, K. (2020). Short- and long-run asymmetric effect of oil prices and oil and gas revenues on the real GDP and economic diversification in an oil-dependent economy. Energy Economics, 86, 104680. https://doi.org/10.1016/j.eneco.2020.104680
Chen, M., Ma, M., Lin, Y., Ma, Z., & Li, K. (2022). Carbon Kuznets curve in China’s building operations: Retrospective and prospective trajectories. Science of the Total Environment, 803, 150104.
Collis, A., & Brynjolfsson, E. (2019). How Should We Measure the Digital Economy?. Harvard Business Review, 97(6), 140–149. http://web.b.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=2&sid=4f2b20a2-9b13-4733-ada1-46cf2ae6d1fa%40pdc-v-sessmgr04%0Ahttps://hbr.org/2019/11/how-should-we-measure-the-digital-economy
Collischon, M., & Eberl, A. (2020). Let’s Talk About Fixed Effects: Let’s Talk About All the Good Things and the Bad Things. Kolner Zeitschrift Fur Soziologie Und Sozialpsychologie, 72(2), 289–299. https://doi.org/10.1007/s11577-020-00699-8
Fikriyah, V. N., & Sunariya, M. I. T. (2022). Spatio-temporal analysis of built-up area and land surface temperature in Surakarta using Landsat imageries. 6(2), 92–101.
G/Tsadik, D., Berhane, Y., Worku, A., Luo, D., Cheng, Y., Zhang, H. H., Ba, M., Chen, P., Li, H., Chen, K., Sha, W., Zhang, C., Chen, H. H., Direktorat Jenderal Pencegahan dan Pengendalian Penyakit, Ansar J, Dwinata I, M. A., Agus Triono, I. H., Fitriayani, Y., Wuni, C., Wolfe, D. T., … Haris, A. (2020). No 主観的健康感を中心とした在宅高齢者における 健康関連指標に関する共分散構造分析Title. International Journal of Hypertension, 1(1), 1–171. http://etd.eprints.ums.ac.id/14871/%0Ahttps://doi.org/10.1016/j.cell.2017.12.025%0Ahttp://www.depkes.go.id/resources/download/info-terkini/hasil-riskesdas-2018.pdf%0Ahttp://www.who.int/about/licensing/%0Ahttp://jukeunila.com/wp-content/uploads/2016/12/Dea
Gillani, S., & Sultana, B. (2020). Empirical Relationship between Economic Growth , Energy Consumption and CO 2 Emissions : Evidence from ASEAN Countries. 1(2), 83–93.
Huang, L., Krigsvoll, G., Johansen, F., Liu, Y., & Zhang, X. (2018). Carbon emission of global construction sector. Renewable and Sustainable Energy Reviews, 81(November 2016), 1906–1916. https://doi.org/10.1016/j.rser.2017.06.001
Huo, T., Li, X., Cai, W., Zuo, J., Jia, F., & Wei, H. (2020). Exploring the impact of urbanization on urban building carbon emissions in China: Evidence from a provincial panel data model. Sustainable Cities and Society, 56, 102068.
Jaya, L. M. G., Wikantika, K., Sambodo, K. A., & Susandi, A. (2017). Temporal Decorrelation Effect in Carbon Stocks Estimation Using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) (Case Study: Southeast Sulawesi Tropical Forest). Forum Geografi, 31(1), 99–107. https://doi.org/10.23917/forgeo.v31i1.2518
Khan, M. K., Khan, M. I., & Rehan, M. (2020). The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan. Financial Innovation, 6(1), 1–13. https://doi.org/10.1186/s40854-019-0162-0
Khoshnevis Yazdi, S., & Dariani, A. G. (2019). CO2 emissions, urbanisation and economic growth: evidence from Asian countries. Economic Research-Ekonomska Istrazivanja , 32(1), 510–530. https://doi.org/10.1080/1331677X.2018.1556107
Kurniawan, T. (2009). Pemanfaatan Aplikasi Sistem Informasi Geografis (Gis) Arcview 3.3 Dalam Perancangan Peta Kemiskinan. Teknik-Unisfat, 4(2), 90–103.
Mahmood, H., Maalel, N., & Zarrad, O. (2019). Trade Openness and CO2 Emissions: Evidence from Tunisia. Sustainability, 11(12), 3295. https://doi.org/10.3390/su11123295
Mansoor, A., & Sultana, B. (2018). Impact of Population, GDP and Energy Consumption on Carbon Emissions: Evidence from Pakistan Using an Analytic Tool IPAT. Asian Journal of Economics and Empirical Research, 5(2), 183–190. https://doi.org/10.20448/journal.501.2018.52.183.190
Mehmood, U., Tariq, S., Ul-Haq, Z., & Meo, M. S. (2021). Does the modifying role of institutional quality remains homogeneous in GDP-CO2 emission nexus? New evidence from ARDL approach. Environmental Science and Pollution Research, 28(8), 10167–10174. https://doi.org/10.1007/s11356-020-11293-y
Paraschiv, S., & Paraschiv, L. S. (2020). Trends of carbon dioxide (CO2) emissions from fossil fuels combustion (coal, gas and oil) in the EU member states from 1960 to 2018. Energy Reports, 6, 237–242. https://doi.org/10.1016/j.egyr.2020.11.116
Pata, U. K. (2018). The influence of coal and noncarbohydrate energy consumption on CO 2 emissions : Revisiting the environmental Kuznets curve hypothesis for Turkey. Energy, 160, 1115–1123. https://doi.org/10.1016/j.energy.2018.07.095
Pratama, A. S., Pudjihardjo, M., Manzilati, A., & Pratomo, D. S. (2021). Testing the Existence of Environmental Kuznets Curve (EKC) Hypothesis in ASEAN 5. Technium Soc. Sci. J., 22, 362.
Rowden, K. W., & Aly, M. H. (2018). GIS-based regression modeling of the extreme weather patterns in Arkansas, USA. Geoenvironmental Disasters, 5(1). https://doi.org/10.1186/s40677-018-0098-0
Sandu, S., Yang, M., Mahlia, T. M. I., Wongsapai, W., Ong, H. C., Putra, N., & Ashrafur Rahman, S. M. (2019). Energy-related CO2 emissions growth in ASEAN countries: Trends, drivers and policy implications. Energies, 12(24), 1–15. https://doi.org/10.3390/en12244650
Saputra, A., Rahardianto, T., Revindo, M. D., Delikostidis, I., Hadmoko, D. S., Sartohadi, J., & Gomez, C. (2017). Seismic vulnerability assessment of residential buildings using logistic regression and geographic information system (GIS) in Planet Sub District (Yogyakarta, Indonesia). Geoenvironmental Disasters, 4(1). https://doi.org/10.1186/s40677-017-0075-z
Steen, M. (2004). a At T Ti I Io O on N N S S Sy Y Ys S St T Te E Em M Ms S S Eur 19754 En. http://www.jrc.nl
Zhang, Y., & Zhang, S. (2018). The impacts of GDP, trade structure, exchange rate and FDI inflows on China’s carbon emissions. Energy Policy, 120, 347–353. https://doi.org/10.1016/j.enpol.2018.05.056
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