Dynamic Effects of Agricultural Land, Urbanization and Economic Growth on Carbon Emissions in N-11 Countries

Authors

DOI:

https://doi.org/10.24925/turjaf.v13i8.2066-2076.7637

Keywords:

Agricultural land, Urbanization, Economic growth, Carbon emissions, Environmental quality

Abstract

This study aims to analyze the environmental quality of N-11 countries (Bangladesh, Indonesia, Philippines, South Korea, Iran, Mexico, Egypt, Nigeria, Pakistan, Turkey and Vietnam). In the study covering the years 1990-2021, the effects of agricultural land, economic growth and urbanization on carbon emissions were examined. After determining the long-term relationship between the variables, the coefficient estimate was made with the DCCE method. Panel analysis results show that economic growth and urbanization have a statistically significant and positive effect on carbon emissions. While a 1% increase in economic growth increases carbon emissions by 0,589%, a 1% increase in urbanization increases carbon emissions by 1,944%. On the other hand, agricultural land has no significant effect on carbon emissions. According to the cross-section results, economic growth increases carbon emissions in Indonesia, Philippines, South Korea, Iran, Mexico, Egypt, Pakistan, Turkey and Vietnam, while it has a decreasing effect in Nigeria. Urbanization increases carbon emissions in Bangladesh, Indonesia, South Korea, Iran, Egypt and Turkey, while decreasing them in Vietnam. Finally, the agricultural land variable was found to increase carbon emissions in Mexico and Egypt, but decrease them in Bangladesh, the Philippines and Turkey. The findings of the study reveal that policies should be shaped by taking into account country-specific dynamics in order to ensure environmental sustainability.

References

Ali, H. S., Abdul-Rahim, A. ve Ribadu, M. B. (2017). Urbanization and carbon dioxide emissions in Singapore: evidence from the ARDL approach. Environmental Science and Pollution Research, 24, 1967-1974.

Ali, S., Shah, A. A., Ghimire, A. ve Tariq, M. A. U. R. (2022). Investigation the nexus between CO2 emissions, agricultural land, crop, and livestock production in Pakistan. Frontiers in Environmental Science, 10, 1014660.

Aziz, N., Sharif, A., Raza, A. ve Rong, K. (2020). Revisiting the role of forestry, agriculture, and renewable energy in testing environment Kuznets curve in Pakistan: evidence from Quantile ARDL approach. Environmental Science and Pollution Research, 27, 10115-10128.

Balsalobre-Lorente, D., Driha, O. M., Bekun, F. V. ve Osundina, O. A. (2019). Do agricultural activities induce carbon emissions? The BRICS experience. Environmental Science and Pollution Research, 26, 25218-25234.

Balsalobre-Lorente, D., Driha, O. M., Leitão, N. C. ve Murshed, M. (2021). The carbon dioxide neutralizing effect of energy innovation on international tourism in EU-5 countries under the prism of the EKC hypothesis. Journal of Environmental Management, 298, 113513.

Banerjee, A., Dolado, J. ve Mestre, R. (1998). Error‐correction mechanism tests for cointegration in a single‐equation framework. Journal of time series analysis, 19(3), 267-283.

Basheer, M. F., Anwar, A., Hassan, S. G., Alsedrah, I. T. ve Cong, P. T. (2024). Does financial sector is helpful for curbing carbon emissions through the investment in green energy projects: evidence from MMQR approach. Clean Technologies and Environmental Policy, 26(3), 901-921.

Begum, R. A., Raihan, A. ve Said, M. N. M. (2020). Dynamic impacts of economic growth and forested area on carbon dioxide emissions in Malaysia. Sustainability, 12(22), 9375.

Breusch, T. S. ve Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The review of economic studies, 47(1), 239-253.

Chudik, A. ve Pesaran, M. H. (2015). Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. Journal of econometrics, 188(2), 393-420.

Dogan, E. ve Turkekul, B. (2016). CO 2 emissions, real output, energy consumption, trade, urbanization and financial development: testing the EKC hypothesis for the USA. Environmental Science and Pollution Research, 23, 1203-1213.

Dünya Bankası. (2025). Dünya Kalkınma Göstergeleri. [Erişim Tarihi: 11 Ocak 2025] https://databank.worldbank.org/source/world-development-indicators

Hussain, M. N., Li, Z. ve Sattar, A. (2022). Effects of urbanization and nonrenewable energy on carbon emission in Africa. Environmental Science and Pollution Research, 1-15.

Jiang, J., Zhu, S. ve Wang, W. (2022). Carbon emissions, economic growth, urbanization, and foreign trade in China: Empirical evidence from ARDL models. Sustainability, 14(15), 9396.

Maraseni, T. N. ve Cockfield, G. (2011). Crops, cows or timber? Including carbon values in land use choices. Agriculture, ecosystems & environment, 140(1-2), 280-288.

Naseem, S., Guang Ji, T. ve Kashif, U. (2020). Asymmetrical ARDL correlation between fossil fuel energy, food security, and carbon emission: providing fresh information from Pakistan. Environmental Science and Pollution Research, 27, 31369-31382.

Nathaniel, S. P., Murshed, M. ve Bassim, M. (2021). The nexus between economic growth, energy use, international trade and ecological footprints: the role of environmental regulations in N11 countries. Energy, Ecology and Environment, 6(6), 496-512.

Ngong, C. A., Bih, D., Onyejiaku, C. ve Onwumere, J. U. J. (2022). Urbanization and carbon dioxide (CO2) emission nexus in the CEMAC countries. Management of Environmental Quality: An International Journal, 33(3), 657-673.

Parajuli, R., Joshi, O. ve Maraseni, T. (2019). Incorporating forests, agriculture, and energy consumption in the framework of the Environmental Kuznets Curve: A dynamic panel data approach. Sustainability, 11(9), 2688.

Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers, IZA Discussion Paper No. 1240.

Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of applied econometrics, 22(2), 265-312.

Pesaran, M. H. ve Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.

Raihan, A., Begum, R. A., Nizam, M., Said, M. ve Pereira, J. J. (2022). Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia. Environmental and Ecological Statistics, 29(3), 477-507.

Raihan, A. ve Tuspekova, A. (2022). The nexus between economic growth, renewable energy use, agricultural land expansion, and carbon emissions: New insights from Peru. Energy Nexus, 6, 100067.

Sadorsky, P. (2014). The effect of urbanization on CO2 emissions in emerging economies. Energy economics, 41, 147-153.

Shahbaz, M., Sbia, R., Hamdi, H. ve Ozturk, I. (2014). Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates. Ecological indicators, 45, 622-631.

Sharma, S. S. (2011). Determinants of carbon dioxide emissions: Empirical evidence from 69 countries. Applied energy, 88(1), 376-382.

Sinha, A., Sengupta, T. ve Alvarado, R. (2020). Interplay between technological innovation and environmental quality: formulating the SDG policies for next 11 economies. Journal of Cleaner Production, 242, 118549.

Sufyanullah, K., Ahmad, K. A. ve Ali, M. A. S. (2022). Does emission of carbon dioxide is impacted by urbanization? An empirical study of urbanization, energy consumption, economic growth and carbon emissions-Using ARDL bound testing approach. Energy Policy, 164, 112908.

Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323.

Tanveer, A., Song, H., Faheem, M. ve Daud, A. (2024). Caring for the environment. How do deforestation, agricultural land, and urbanization degrade the environment? Fresh insight through the ARDL approach. Environment, Development and Sustainability, 1-36.

Wang, Q., Wang, L. ve Li, R. (2023). Trade protectionism jeopardizes carbon neutrality–decoupling and breakpoints roles of trade openness. Sustainable Production and Consumption, 35, 201-215.

Wang, S., Fang, C., Guan, X., Pang, B. ve Ma, H. (2014). Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces. Applied energy, 136, 738-749.

Wang, W.-Z., Liu, L.-C., Liao, H. ve Wei, Y.-M. (2021). Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries. Energy Policy, 151, 112171.

Xie, Q. ve Liu, J. (2019). Combined nonlinear effects of economic growth and urbanization on CO2 emissions in China: evidence from a panel data partially linear additive model. Energy, 186, 115868.

Zhang, X. Q. (2016). The trends, promises and challenges of urbanisation in the world. Habitat international, 54, 241-252.

Zhu, E., Qi, Q., Chen, L. ve Wu, X. (2022). The spatial-temporal patterns and multiple driving mechanisms of carbon emissions in the process of urbanization: A case study in Zhejiang, China. Journal of Cleaner Production, 358, 131954.

Downloads

Published

28.08.2025

How to Cite

Ülger, M. (2025). Dynamic Effects of Agricultural Land, Urbanization and Economic Growth on Carbon Emissions in N-11 Countries. Turkish Journal of Agriculture - Food Science and Technology, 13(8), 2066–2076. https://doi.org/10.24925/turjaf.v13i8.2066-2076.7637

Issue

Section

Research Paper