THE NEXUS BETWEEN TRADE OPENNESS AND ENVIRONMENTAL DEGRADATION : A VECM ANALYSIS
DOI:
https://doi.org/10.22437/jiituj.v8i2.36595Keywords:
EKC, Environment, ICT, Income, Trade OpennessAbstract
This research aimed to analyze the influence of trade openness, ICT, per capita income, and Human Development Index on environmental quality in Upper-Middle Income countries in the short and long term and how per capita income influenced environmental quality in the U-shaped EKC hypothesis in Upper-Middle Income countries over the 1990-2020 periods using the VECM Panel analysis. Several findings were revealed in this research. First, the coefficient of trade openness in the long-term and short-term on environmental quality was positive and statistically significant at the 1% level. Second, the relationship between ICT and environmental quality had a positive influence in the short term and a negative influence in the long term. Third, the relationship between per capita income and environmental quality positively influenced the long- and short-term. In these findings, an increase in per capita income increased carbon dioxide, which caused a decrease in environmental quality and emerged an inverted U relationship in the long- and short-term of the EKC hypothesis in UMI countries, with the turning point in the short-term being US$ 728,530 and in the long-term US$ 772,839. Finally, the Human Development Index in this research positively influences environmental quality in the short- and long-term. The outcomes of this study have considerable Policy implications regarding trade openness policy formulation to reduce environmental degradation, especially in Upper Middle-Income Countries.
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Amaliah, I. D. (2022). The effect of village original income, village allocation of funds, tax sharing and retribution on village expenditures. Accounting and Sustainability, 1(1), 1-8. https://doi.org/10.58968/as.v1i1.254.
Akbar, M., Hussain, A., Akbar, A., & Ullah, I. (2021). The dynamic association between healthcare spending, CO 2 emissions, and human development index in OECD countries: Evidence from panel VAR model. Environment, development and sustainability, 23, 10470-10489. https://doi.org/10.1007/s10668-020-01066-5.
Akca, H. (2021). Environmental Kuznets Curve and financial development in Turkey: evidence from augmented ARDL approach. Environmental Science and Pollution Research, 28(48), 69149-69159. https://doi.org/10.1007/s11356-021-15417-w.
Alsamara, I.; Beinert, S. F.; De Jong, J. C.; Klappe, M. J. P.; Marewski, V. S. (2022). (Policy brief). SEEJPH 2022, posted: 23 June 2022. https://doi.org/10.11576/seejph-5603.
Ansari, M. A., and Khan, N. A. (2021). Decomposing the trade-environment nexus for high income, upper and lower middle income countries: What do the composition, scale, and technique effect indicate? Ecological Indicators, 121(September 2020), 107122. https://doi.org/10.1016/j.ecolind.2020.107122.
Antweiler, W., Copeland, B. R., & Taylor, M. S. (2001). Is free trade good for the environment?. American economic review, 91(4), 877-908. https://doi.org/10.1257/aer.91.4.877.
Apeadido, S., Opoku-Mensah, D., & Mensah, G. O. (2024). Enhancing science process skills and academic performance in biology: The impact of practical work. Integrated Science Education Journal, 5(1), 34-41. https://doi.org/10.37251/isej.v5i1.854.
Appiah-Otoo, I., Acheampong, A. O., Song, N., & Chen, X. (2023). The impact of information and communication technology (ICT) on carbon dioxide emissions: Evidence from heterogeneous ICT countries. Energy & Environment, 34(8), 3080-3102. https://doi.org/10.1177/0958305X221118877.
Asrial, A., Syahrial, S., Kurniawan, D. A., Aldila, F. T., & Iqbal, M. (2023). Implementation of web-based character assessment on students' character outcomes: A review on perception and gender. JOTSE: Journal of Technology and Science Education, 13(1), 301-328. https://doi.org/10.3926/jotse.1564.
Asrial, A., Syahrial, S., Kurniawan, D. A., Putri, F. I., Perdana, R., Rahmi, R., Susbiyanto, S., & Aldila, F. T. (2024). E-Assessment for character evaluation in elementary schools. Qubahan Academic Journal, 4(3), 806-822. https://doi.org/10.48161/qaj.v4n3a595.
Assa, J. (2021). Less is more: The implicit sustainability content of the human development index. Ecological economics, 185, 107045. https://doi.org/10.1016/j.ecolecon.2021.107045.
Asongu, S. A., Le Roux, S., & Biekpe, N. (2017). Environmental degradation, ICT and inclusive development in Sub-Saharan Africa. Energy Policy, 111, 353-361. https://doi.org/10.1016/j.enpol.2017.09.049.
Azam, M., & Khan, A. Q. (2016). Testing the Environmental Kuznets Curve hypothesis: A comparative empirical study for low, lower middle, upper middle and high income countries. Renewable and Sustainable Energy Reviews, 63, 556-567. https://doi.org/10.1016/j.rser.2016.05.052.
Baah, R., Konovalov, O., & Tenzin, S. (2024). Effectiveness of e-assessment in science learning: Improving the quality and efficiency of assessment in the digital era. Integrated Science Education Journal, 5(2), 74-81. https://doi.org/10.37251/isej.v5i2.960.
Brack, D. (2019). Trade and the environment. Trade Politics, Second Edition, January 2008, 1–330. https://doi.org/10.4324/9780429486722-19.
Chhabra, M., Giri, A. K., & Kumar, A. (2023). Do trade openness and institutional quality contribute to carbon emission reduction? Evidence from BRICS countries. Environmental Science and Pollution Research, 30(17), 50986-51002. https://doi.org/10.1007/s11356-023-25789-w.
Cole, M. A. (2004). Trade, the pollution haven hypothesis and the environmental Kuznets curve: examining the linkages. Ecological economics, 48(1), 71-81. https://doi.org/10.1016/j.ecolecon.2003.09.007.
Danish, Khan, N., Baloch, M. A., Saud, S., & Fatima, T. (2018). The effect of ICT on CO 2 emissions in emerging economies: does the level of income matters?. Environmental Science and Pollution Research, 25, 22850-22860. https://doi.org/10.1007/s11356-018-2379-2.
Dessi, L. C., & Shah, M. (2023). Application of the numbered head together type cooperative learning model to improve student learning outcomes in mathematics subjects. Interval: Indonesian Journal of Mathematical Education, 1(2), 67-72. https://doi.org/10.37251/ijome.v1i2.773.
Ebert, U., & Welsch, H. (2007). Environmental emissions and production economics: implications of the materials balance. American Journal of Agricultural Economics, 89(2), 287-293. https://doi.org/10.1111/j.1467-8276.2007.00997.x.
Engström, E., & Kolk, M. (2024). Projecting environmental impacts with varying population, affluence and technology using IPAT–Climate change and land use scenarios. Vienna Yearbook of Population Research, 22, 1-29. https://doi.org/10.1553/p-n5en-z38a.
Farhani, S., Mrizak, S., Chaibi, A., & Rault, C. (2014). The environmental Kuznets curve and sustainability: A panel data analysis. Energy Policy, 71, 189-198. https://doi.org/10.1016/j.enpol.2014.04.030.
Fitriana, H., & Waswa, A. N. (2024). The influence of a realistic mathematics education approach on students’ mathematical problem solving ability. Interval: Indonesian Journal of Mathematical Education, 2(1), 29-35. https://doi.org/10.37251/ijome.v2i1.979.
Godil, D. I., Sharif, A., Afshan, S., Yousuf, A., & Khan, S. A. R. (2020). The asymmetric role of freight and passenger transportation in testing EKC in the US economy: evidence from QARDL approach. Environmental Science and Pollution Research, 27, 30108-30117. https://doi.org/10.1007/s11356-020-09299-7.
Greene, William H. (2003). Econometric Analysis, Fifth Edition, New Jersey, Prentice-Hall
Gujarati, Damodar N. dan Dawn C. Porter. (2012). Dasar-dasar Ekonometrika Buku 2. Edisi 5. Raden Carlos Mangunsong (penj.). Jakarta: Salemba Empat
Grossman, G. M., Krueger, A. B., Brown, D., Evans, G., and Schoepfle, G. (1991). NBER WORKING PAPERS SERIES 1050 Massachusetts Avenue Jeff Mackie-Mason provided helpful comments and. Gene, 3914.
Habibi, M. W., Jiyane, L., & Ozsen, Z. (2024). Learning revolution: The positive impact of computer simulations on science achievement in madrasah ibtidaiyah. Journal of Educational Technology and Learning Creativity, 2(1), 13-19. https://doi.org/10.37251/jetlc.v2i1.976.
Helida, Y., Ching, C. P., & Oyewo, A. (2023). Development of a simple stirling engine demonstration tool on the subject of thermodynamics. Journal of Educational Technology and Learning Creativity, 1(2), 59-67. https://doi.org/10.37251/jetlc.v1i2.790.
Hidayati, A., Susanti, E., Jamalong, A., Ginting, D., Suwanto, W., & Arifin, A. (2024). Marketing analytics in the era of digital-based marketing strategy. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 8(1), 61-75. https://doi.org/10.22437/jiituj.v8i1.31908.
Hossain, M. A., & Chen, S. (2021). Nexus between Human Development Index (HDI) and CO 2 emissions in a developing country: Decoupling study evidence from Bangladesh. Environmental Science and Pollution Research, 28, 58742-58754. https://doi.org/10.1007/s11356-021-14822-5.
Isik, C., Ongan, S., & Ozdemir, D. (2019). Testing the EKC hypothesis for ten US states: An application of heterogeneous panel estimation method. Environmental Science and Pollution Research, 26, 10846-10853. https://doi.org/10.1007/s11356-019-04514-6.
Islam, M. S., & Rahaman, S. H. (2023). The asymmetric effect of ICT on CO2 emissions in the context of an EKC framework in GCC countries: the role of energy consumption, energy intensity, trade, and financial development. Environmental Science and Pollution Research, 30(31), 77729-77741. https://doi.org/10.1007/s11356-023-27590-1.
Islam, M. S., Rahaman, S. H., ur Rehman, A., & Khan, I. (2023). ICT's impact on CO2 emissions in GCC region: the relevance of energy use and financial development. Energy Strategy Reviews, 49, 101147. https://doi.org/10.1016/j.esr.2023.101147.
Jahanger, A., Yang, B., Huang, W. C., Murshed, M., Usman, M., & Radulescu, M. (2023). Dynamic linkages between globalization, human capital, and carbon dioxide emissions: empirical evidence from developing economies. Environment, development and sustainability, 25(9), 9307-9335. https://doi.org/10.1007/s10668-022-02437-w.
Malmodin, J., Lövehagen, N., Bergmark, P., & Lundén, D. (2024). ICT sector electricity consumption and greenhouse gas emissions–2020 outcome. Telecommunications Policy, 48(3), 102701. https://doi.org/10.1016/j.telpol.2023.102701.
Mizian, Z. (2023). Development of an electronic brick bonding module using the autocad program for students. Tekno-Pedagogi: Jurnal Teknologi Pendidikan, 13(2), 35-43. https://doi.org/10.22437/teknopedagogi.v13i2.32531.
Jorgenson, A., Schor, J., & Huang, X. (2017). Income inequality and carbon emissions in the United States: a state-level analysis, 1997–2012. Ecological Economics, 134, 40-48. http://dx.doi.org/10.1016/j.ecolecon.2016.12.016.
Katar Singh, Anil Shishodia. (2007). Environmental Economics: Theory and Applications. SAGE Publications.
Khan, M. T. I., Yaseen, M. R., & Ali, Q. (2017). Dynamic relationship between financial development, energy consumption, trade and greenhouse gas: comparison of upper middle income countries from Asia, Europe, Africa and America. Journal of cleaner production, 161, 567-580. https://doi.org/10.1016/j.jclepro.2017.05.129.
Kusuma, R. S. (2020). Improving students’ basic asking skills by using the discovery learning model. Tekno - Pedagogi : Jurnal Teknologi Pendidikan, 10(2), 8-13. https://doi.org/10.22437/teknopedagogi.v10i2.32743.
Levinson, A., & Taylor, M. S. (2008). Unmasking the pollution haven effect. International economic review, 49(1), 223-254. https://doi.org/10.1111/j.1468-2354.2008.00478.x.
Li, Y., & Zhang, Y. (2023). What is the role of green ICT innovation in lowering carbon emissions in China? A provincial-level analysis. Energy Economics, 127, 107112. https://doi.org/10.1016/j.eneco.2023.107112
Lv, Z., & Xu, T. (2019). Trade openness, urbanization and CO2 emissions: dynamic panel data analysis of middle-income countries. The Journal of International Trade & Economic Development, 28(3), 317-330. https://doi.org/10.1080/09638199.2018.1534878.
Magazzino, C., Porrini, D., Fusco, G., & Schneider, N. (2021). Investigating the link among ICT, electricity consumption, air pollution, and economic growth in EU countries. Energy Sources, Part B: Economics, Planning, and Policy, 16(11-12), 976-998. https://doi.org/10.1080/15567249.2020.1868622.
Martinot, E., Chaurey, A., Lew, D., Moreira, J. R., and Wamukonya, N. (2002). Renewable energy markets in developing countries. Annual Review of Energy and the Environment, 27, 309–348. https://doi.org/10.1146/annurev.energy.27.122001.083444.
Matthew Kahane, Józefina Hrynkiewicz, Jolanta Supinska, Irena Herbst, Andrzej Bratkowski, Malgorzata Pawlisz. (2003). Human Development Report 2003: Millennium Development Goals: A Compact Among Nations to End Human Poverty. New York.
Miniesy, R. S., & Tarek, M. (2019). Is there evidence of PHH in developing Asia?. Journal of Chinese Economic and Foreign Trade Studies, 12(1), 20-39. https://doi.org/10.1108/JCEFTS-06-2018-0018.
Mo, N. T., Binh, N. T., Nhung, L. T., Hung, P. H., Cu, H. M., Linh, N. T., & Hai, T. V. (2024). Employee satisfaction, engagement and financial performance in stock brokerage companies. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 8(1), 284-299. https://doi.org/10.22437/jiituj.v8i1.32199.
Moomaw, W. R., & Unruh, G. C. (1997). Are environmental Kuznets curves misleading us? The case of CO2 emissions. Environment and development economics, 2(4), 451-463. https://doi.org/10.1017/S1355770X97000247.
Mujtaba, A., Jena, P. K., and Mukhopadhyay, D. (2020). Determinants of CO2 emissions in upper middle-income group countries: an empirical investigation. Environmental Science and Pollution Research, 27(30), 37745–37759. https://doi.org/10.1007/s11356-020-09803-z.
Murshed, M. (2020). Are trade liberalization policies aligned with renewable energy transition in low and middle income countries? an instrumental variable approach. Renewable Energy, 151, 1110–1123. https://doi.org/10.1016/j.renene.2019.11.106.
Negro, S. O., Alkemade, F., and Hekkert, M. P. (2012). Why does renewable energy diffuse so slowly? A review of innovation system problems. Renewable and Sustainable Energy Reviews, 16(6), 3836–3846. https://doi.org/10.1016/j.rser.2012.03.043.
Pervaiz, R., Faisal, F., Rahman, S. U., Chander, R., & Ali, A. (2021). Do health expenditure and human development index matter in the carbon emission function for ensuring sustainable development? Evidence from the heterogeneous panel. Air Quality, Atmosphere & Health, 14(11), 1773-1784. https://doi.org/10.1007/s11869-021-01052-4.
Pham Xuan Hoa, Vu Ngoc Xuan, Nguyen Thi Phuong Thu. (2023). Nexus of innovation, renewable consumption, FDI, growth and CO2 emissions: The case of Vietnam, Journal of Open Innovation: Technology, Market, and Complexity, 9(3) https://doi.org/10.1016/j.joitmc.2023.100100.
Pirlogea, C. (2012). The Human Development Relies on Energy. Panel Data Evidence. Procedia. Economics and finance, 3, 496-501. https://doi.org/10.1016/S2212-5671(12)00186-4
Rangel Chris Eko Bieth. (2021). The Influence of Gross Domestic Product and Human Development Index on CO2 Emissions. Journal of Physics: Conference Series. https://doi.org/10.1088/1742-6596/1808/1/012034.
Sari, R., Omeiza, I. I., & Mwakifuna, M. A. (2023). The influence of number dice games in improving early childhood mathematical logic in early childhood education. Interval: Indonesian Journal of Mathematical Education, 1(2), 61-66. https://doi.org/10.37251/ijome.v1i2.776.
Saputro, H. D., Rustaminezhad, M. A., Amosa, A. A., & Jamebozorg, Z. (2023). Development of e-learning media using adobe flash program in a contextual learning model to improve students’ learning outcomes in junior high school geographical research steps materials. Journal of Educational Technology and Learning Creativity, 1(1), 25-32. https://doi.org/10.37251/jetlc.v1i1.621.
Shafik, N. (1994). Economic development and environmental quality: an econometric analysis. Oxford economic papers, 46(Supplement_1), 757-773. https://doi.org/10.1093/oep/46.Supplement_1.757.
Shahbaz, M., Balsalobre, D., and Shahzad, S. J. H. (2019). The Influencing Factors of CO2 Emissions and the Role of Biomass Energy Consumption: Statistical Experience from G-7 Countries. Environmental Modeling and Assessment, 24(2), 143–161. https://doi.org/10.1007/s10666-018-9620-8.
Sinha, A., and Sen, S. (2016). Atmospheric consequences of trade and human development: A case of BRIC countries. Atmospheric Pollution Research, 7, 980-989. https://doi.org/10.1016/j.apr.2016.06.003.
Sohag, K., Al Mamun, M., Uddin, G. S., and Ahmed, A. M. (2017). Sectoral output, energy use, and CO2 emission in middle-income countries. Environmental Science and Pollution Research, 24(10), 9754–9764. https://doi.org/10.1007/s11356-017-8599-z.
Stern David I. (2004). The Rise and Fall of the Environmental Kuznets Curve. World Development
Subair. (2015). The relevance of malthus’ theory in discourse. Journal Of Dialectics, 9(2), 96–110.
Suwarni, R. (2021). Analysis the process of observing class iv students in thematic learning in primary schools. Tekno - Pedagogi : Jurnal Teknologi Pendidikan, 11(1), 26-32. https://doi.org/10.22437/teknopedagogi.v11i1.32717.
Temurshoev, U. (2006). Pollution Haven Hypothesis or Factor Endowment Hypothesis: Theory and Empirical Examination for the US and China. Economics, Environmental Science. https://doi.org/10.2139/ssrn.1147660.
Tiba, S., and Omri, A. (2017). Literature survey on the relationships between energy, environment and economic growth. Renewable and Sustainable Energy Reviews, 69(September), 1129–1146. https://doi.org/10.1016/j.rser.2016.09.113.
Udeagha, M.C., Breitenbach, M.C. (2023). On the asymmetric effects of trade openness on CO2 emissions in SADC with a nonlinear ARDL approach. Discov Sustain 4, 2. https://doi.org/10.1007/s43621-022-00117-3.
Veli Yilanci, Recep Ulucak, Yaoqi Zhang, Valeria Andreoni. (2022). The role of affluence, urbanization, and human capital for sustainable forest management in China: Robust findings from a new method of Fourier cointegration. Sustainable Development. https://doi.org/10.1002/sd.2421.
Yadewani, D., Pandi, O. D., Syafrani, S., Nurofik, A., & Poddar, S. (2024). Impact of government policies on the knowledge base of sustainable small and medium-sized enterprises. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 8(1), 251-266. https://doi.org/10.22437/jiituj.v8i1.31884.
Yohanie, D. D., Botchway, G. A., Nkhwalume, A. A., & Arrazaki, M. (2023). Thinking process of mathematics education students in problem solving proof. Interval: Indonesian Journal of Mathematical Education, 1(1), 24-29. https://doi.org/10.37251/ijome.v1i1.611.
Zakiyah, Z., Boonma , K., & Collado, R. (2024). Physics learning innovation: Song and animation-based media as a learning solution for mirrors and lenses for junior high school students. Journal of Educational Technology and Learning Creativity, 2(2), 54-62. https://doi.org/10.37251/jetlc.v2i2.1062.
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