Agriculture, Forestry and Fishing Value Added, Renewable Energy and Environmental Quality in BRICS-T: Evidence from CS-ARDL
DOI:
https://doi.org/10.24925/turjaf.v14i7.1938-1951.8808Keywords:
Agriculture , Fisheries , Forestry , Renewable Energy, Economic GrowthAbstract
This study investigates the determinants of ecological footprint in BRICS-T (Brazil, Russia, India, China, South Africa, and Türkiye) countries, focusing on agriculture, fisheries, and forestry value added, economic growth, renewable energy, foreign direct investment, and population. Using annual data from 2000 to 2024, the study employs CS-ARDL and Dumitrescu-Hurlin causality tests, considering cross-sectional dependence and heterogeneity. Empirical results show that, in the long term, agriculture, fisheries, and forestry value added and foreign direct investment increase ecological footprint by decreasing environmental quality, while renewable energy use and population increase environmental quality. While the impact of economic growth on environmental degradation is positive, no statistically significant results were obtained. Furthermore, findings from the causality test indicate bidirectional causality between agriculture, fisheries, and forestry value added and population, and unidirectional causality between foreign direct investment and ecological footprint, while no causal relationship is found between economic growth and renewable energy and ecological footprint. Policy implications suggest that BRICS-T countries should abandon traditional production models and adopt more rational agricultural techniques, use low-carbon agricultural inputs, develop regulations to prevent overfishing, create a plan to encourage investment in renewable energy technologies, and increase environmental awareness through education policies.
References
Abid, M., Schneider, U. A., & Scheffran, J. (2016). Adaptation to climate change and its impacts on food productivity and crop income: Perspectives of farmers in rural Pakistan. Journal of Rural Studies, 47, 254-266. https://doi.org/10.1016/j.jrurstud.2016.08.005
Ahmed, N., Xinagyu, G., Alnafissa, M., Sikder, M., & Faye, B. (2025). Evaluating the impact of sustainable technology, resource utilization, and climate change on soil emissions: A CS-ARDL analysis of leading agricultural economies. Cleaner Engineering and Technology, 24, 100869. https://doi.org/10.1016/j.clet.2024.100869
Albayrak, A. S. (2005). Çoklu doğrusal bağlanti halinde enküçük kareler tekniğinin alternatifi yanli tahmin teknikleri ve bir uygulama. Uluslararası Yönetim İktisat ve İşletme Dergisi, 1(1), 105-126.
Asif, M., Li, J., Zia, M., Hashim, M., Bhatti, U., Bhatti, M., & Hasnain, A. (2024). Environmental sustainability in BRICS economies: The nexus of technology innovation, economic growth, financial development, and renewable energy consumption. Sustainability, 16, 6934. https://doi.org/10.3390/su16166934
Ayad, H., Bendahmane, A., & Dahmani, M. D. (2025). Unveiling New Perspectives on the Role of Remittances on the Environmental Quality in MENA Region: New Evidence Using MMQR Approach. Social Indicators Research, 179(3), 1295-1327. https://doi.org/10.1007/s11205-025-03668-w
Balli, E., Sigeze, C., Ugur, M. S., & Çatık, A. N. (2023). The relationship between FDI, CO2 emissions, and energy consumption in Asia-Pacific economic cooperation countries. Environmental Science and Pollution Research, 30(15), 42845-42862. https://doi.org/10.1007/s11356-021-17494-3
Balsalobre-Lorente, D., Driha, O., Halkos, G., & Mishra, S. (2021). Influence of growth and urbanization on CO₂ emissions: The moderating effect of foreign direct investment on energy use in BRICS. Sustainable Development. https://doi.org/10.1002/sd.2240
Banerjee, D., O’Shea, E., Doyle, J. G., & Goossens, M. (2001). Signatures of very long period waves in the polar coronal holes. Astronomy & Astrophysics, 380(2), L39-L42. https://doi.org/10.1051/0004-6361:20011548
Behera, B., Behera, P., Sucharita, S., & Sethi, N. (2024). Mitigating ecological footprint in BRICS countries: Unveiling the role of disaggregated clean energy, green technology innovation and political stability. Discover Sustainability, 5, Article 378. https://doi.org/10.1007/s43621-024-00378-0
Bilgili, F., & Ulucak, R. (2018). Is there deterministic, stochastic, and/or club convergence in ecological footprint indicator among G20 countries?. Environmental Science and Pollution Research, 25(35), 35404-35419. https://doi.org/10.1007/s11356-018-3457-1
Caglar, A. E., Mert, M., Radulescu, M., & Demirdag, I. (2025). The Relationship Between Business Enterprise Investment and Environmental Sustainability in the European Union: Evidence From the Novel Fourier Asymmetric CS‐ARDL. Corporate Social Responsibility and Environmental Management, 32(6), 8511-8522. https://doi.org/10.1002/csr.70143
Caglar, A., Daştan, M., Demirdag, I., & Avci, S. (2025). Is low carbon energy consumption sufficient for a sustainable environment in BRICS economies? Evidence from novel Fourier asymmetric CS-ARDL. Stochastic Environmental Research and Risk Assessment, 39, 1291–1306. https://doi.org/10.1007/s00477-025-02913-5
Chandrasekaran, S. (2024). Agricultural value added in BRICS: A panel data study. International Journal of Energy Economics and Policy. https://doi.org/10.32479/ijeep.15808
Chudik, A., & 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. https://doi.org/10.1016/j.jeconom.2015.03.007
Chudik, A., Mohaddes, K., Pesaran, M. H., & Raissi, M. (2017). Is there a debt-threshold effect on output growth?. Review of Economics and Statistics, 99(1), 135-150. https://doi.org/10.1162/rest_a_00593
Çabaş, M., Beşer, N. Ö., Ayaydın, H., Barut, A., & Magazzino, C. (2025). Greening the OECD: unravelling the complex relationship between natural resource efficiency, technological innovation and population density on ecological footprint. Geological Journal, 60(11), 2621-2633. https://doi.org/10.1002/gj.5103
Dam, M. M., Kaya, F., & Bekun, F. V. (2024). On the nexus between real income, renewable energy consumption, and environmental sustainability on life expectancy for BRICS‐T countries: Accessing evidence from quantile regression. In Natural Resources Forum (Vol. 48, No. 4, pp. 1109-1135). Oxford, UK: Blackwell Publishing Ltd. https://doi.org/10.1111/1477-8947.12347
Destek, M. A., Okumuş, İ., & Yıldırım, A. (2017). Tarımsal katma değer üzerinde Hollanda hastalığı etkileri: Azerbaycan, Kazakistan, Kırgızistan ve Özbekistan için bulgular. Bilig, (83), 225–239.
Dogan, E., & Seker, F. (2016). The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries. Renewable and Sustainable Energy Reviews, 60, 1074-1085. https://doi.org/10.1016/j.rser.2016.02.006
Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic modelling, 29(4), 1450-1460. https://doi.org/10.1016/j.econmod.2012.02.014
Dünya Bankası. (2026). Dünya Kalkınma Göstergeleri. https://databank.worldbank. org/source/world-development-indicators (Erişim Tarihi: 01 Ocak 2026).
Erdinç, Z., & Aydınbaş, G. (2021). Tarımsal katma değer belirleyicilerinin panel veri analizi. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 21(1), 0–0.
Ertürkmen, G. (2025). The effect of investments, mechanization and fertilizer use on agricultural growth in Türkiye’s agricultural sector: An econometric analysis. Black Sea Journal of Agriculture, 8(2), 205–216.
Fan, L., Usman, M., Haseeb, M., & Kamal, M. (2025). The impact of financial development and energy consumption on ecological footprint in economic complexity-based EKC framework: New evidence from BRICS-T region. Natural Resources Forum. https://doi.org/10.1111/1477-8947.12448
Feng, Q., Usman, M., Saqib, N., & Mentel, U. (2024). Modelling the contribution of green technologies, renewable energy, economic complexity, and human capital in environmental sustainability: Fresh evidence from BRICS countries. Gondwana Research. https://doi.org/10.1016/j.gr.2024.04.010
Gava, E., Seabela, M., & Ogujiuba, K. (2025). The effect of trade openness on environmental quality in Southern African Customs Union (SACU) countries: the CS-ARDL approach. Economies, 13(8), 233. https://doi.org/10.3390/economies13080233
Houghton, R. A., & Hackler, J. L. (2003). Sources and sinks of carbon from land‐use change in China. Global biogeochemical cycles, 17(2). https://doi.org/10.1029/2002gb001970
Hussain, M., Arshad, Z., & Bashir, A. (2022). Do economic policy uncertainty and environment-related technologies help in limiting ecological footprint? Environmental Science and Pollution Research, 29, 46612–46619. https://doi.org/10.1007/s11356-022-19000-9
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74. https://doi.org/10.1016/s0304-4076(03)00092-7
Kayani, U. N., Nasim, I., Aysan, A. F., Bashir, F., & Iqbal, U. (2024). Emerging trends of carbon emissions and foreign direct investment: accounting for ecological footprints, renewable energy, globalization, and technological innovations in BRICS. Environmental Science and Pollution Research, 31(29), 41586-41599. https://doi.org/10.1007/s11356-023-31495-4
Küresel Ayak İzi Ağı. (2026). https://www.footprintnetwork.org/our-work/ ecological-footprint (Erişim Tarihi: 1 Ocak 2026).
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24. https://doi.org/10.1016/s0304-4076(01)00098-7
Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and statistics, 61(S1), 631-652. https://doi.org/10.1111/1468-0084.0610s1631
Mike, F. (2020). Does The Pollution Haven Hypothesis Hold for Turkey? The Findings from ARDL Bound Test. Dogus Universitesi Dergisi, 21(2), 107-121. https://doi.org/10.31671/dogus.2020.452
Miner, R. (2010). Impact of the global forest industry on atmospheric greenhouse gases. Food and Agriculture Organization of the United Nations (FAO). https://doi.org/10.4135/9781412963855.n464
Nathaniel, S. P., Yalçiner, K., & Bekun, F. V. (2021). Assessing the environmental sustainability corridor: Linking natural resources, renewable energy, human capital, and ecological footprint in BRICS. Resources Policy, 70, 101924. https://doi.org/10.1016/j.resourpol.2020.101924
Nuta, F., Shahbaz, M., Khan, I., Cutcu, I., Khan, H., & Eren, M. V. (2024). Dynamic impact of demographic features, FDI, and technological innovations on ecological footprint: evidence from European emerging economies. Environmental Science and Pollution Research, 31(12), 18683-18700. https://doi.org/10.1007/s11356-024-32345-7
Ouni, M., & Abdallah, K. (2024). Environmental sustainability and green logistics: Evidence from BRICS and Gulf countries by cross-sectionally augmented autoregressive distributed lag (CS-ARDL) approach. Sustainable Development. https://doi.org/10.1002/sd.2856
Our World in Data. (2026). https://ourworldindata.org/search. (Erişim Tarihi:01.01.2026)
Pata, U. K., Dam, M. M., & Kaya, F. (2023). How effective are renewable energy, tourism, trade openness, and foreign direct investment on CO2 emissions? An EKC analysis for ASEAN countries. Environmental Science and Pollution Research, 30(6), 14821-14837. https://doi.org/10.1007/s11356-022-23160-z
Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. Cambridge Working Papers. Economics, 1240(1), 1. https://doi.org/10.2139/ssrn.572504
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. https://doi.org/10.1002/jae.951
Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93. https://doi.org/10.1016/j.jeconom.2007.05.010
Raihan, A., Voumik, L., Mohajan, B., Rahman, M., & Zaman, M. (2023). Economy-energy-environment nexus: The potential of agricultural value-added toward achieving China’s dream of carbon neutrality. Carbon Research, 2. https://doi.org/10.1007/s44246-023-00077-x
Sadiq, M., Chau, K., Ha, N., Phan, T., Ngo, T., & Huy, P. (2023). The impact of green finance, eco-innovation, renewable energy and carbon taxes on CO₂ emissions in BRICS countries: Evidence from CS-ARDL estimation. Geoscience Frontiers. https://doi.org/10.1016/j.gsf.2023.101689
Saeed, U. F. (2025). Achieving SDGs in developing economies: A CS-ARDL analysis of the effects of industrial growth and foreign investment on carbon and ecological footprints. Journal of Sustainable Finance and Accounting, 100025. https://doi.org/10.1016/j.josfa.2025.100025
Sahoo, M., & Sethi, N. (2021). The intermittent effects of renewable energy on ecological footprint: evidence from developing countries. Environmental Science and Pollution Research, 28(40), 56401-56417. https://doi.org/10.1007/s11356-021-14600-3
Salim, R., Yao, Y., & Chen, G. S. (2017). Does human capital matter for energy consumption in China?. Energy Economics, 67, 49-59. https://doi.org/10.1016/j.eneco.2017.05.016
Samour, A., Adebayo, T. S., Agyekum, E. B., Khan, B., & Kamel, S. (2023). Insights from BRICS-T economies on the impact of human capital and renewable electricity consumption on environmental quality. Scientific Reports, 13(1), 5245. https://doi.org/10.1038/s41598-023-32134-1
Sharif, A., Kartal, M. T., Bekun, F. V., Pata, U. K., Foon, C. L., & Depren, S. K. (2023). Role of green technology, environmental taxes, and green energy towards sustainable environment: insights from sovereign Nordic countries by CS-ARDL approach. Gondwana research, 117, 194-206. https://doi.org/10.1016/j.gr.2023.01.009
Sharma, G. D., Shah, M. I., Shahzad, U., Jain, M., & Chopra, R. (2021). Exploring the nexus between agriculture and greenhouse gas emissions in BIMSTEC region: The role of renewable energy and human capital as moderators. Journal of environmental management, 297, 113316. https://doi.org/10.1016/j.jenvman.2021.113316
Shi, S., & Smith, L. (2025). Decoupling growth from degradation: a CS-ARDL and MMQR panel analysis of ecological footprints and sustainable economic growth. Frontiers in Environmental Science, 13, 1604011. https://doi.org/10.3389/fenvs.2025.1604011
Soyyiğit, S., & Yavuzaslan, K. (2019). Tarımsal katma değeri etkileyen faktörler üzerine bir inceleme: E7 ülkeleri örneği. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(19), 403–429.
Swamy, P. A. (1970). Efficient inference in a random coefficient regression model. Econometrica: Journal of the Econometric Society, 311-323. https://doi.org/10.2307/1913012
Taşdemir, F., & Özçelik, S. E. (2023). Do human capital and governance thresholds matter for the environmental impact of FDI? The evidence from MENA countries. Environmental Science and Pollution Research, 30(14), 41741-41754. https://doi.org/10.1007/s11356-023-25188-1
Tekin, B., & Shahbaz, M. (2025). Assessing the impacts of financial development and agriculture, fisheries, and forestry value added on the ecological footprint of BRICS-T nations: B. Tekin and M. Shahbaz. Clean Technologies and Environmental Policy, 27(11), 7277-7296. https://doi.org/10.1007/s10098-025-03247-0
Tiwari, S., & Sharif, A. (2025). Disruptive Solutions for Carbon Neutrality and Sustainable Development: Evidence From CS‐ARDL Approach. Sustainable Development. https://doi.org/10.1002/sd.3403
Uğur, M. S. (2022). The relationship between foreign direct investment, economic growth, energy consumption and CO2 emissions: Evidence from ARDL model with a structural break for Turkey. Ege Academic Review, 22(3), 337-352. https://doi.org/10.21121/eab.1100759
Ullah, A., Raza, K., & Mehmood, U. (2023). The impact of economic growth, tourism, natural resources, technological innovation on carbon dioxide emission: Evidence from BRICS countries. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-27903-4
Usman, A., Ozturk, I., Naqvi, S. M. M. A., Ullah, S., & Javed, M. I. (2022). Revealing the nexus between nuclear energy and ecological footprint in STIRPAT model of advanced economies: Fresh evidence from novel CS-ARDL model. Progress in Nuclear Energy, 148, 104220. https://doi.org/10.1016/j.pnucene.2022.104220
Voumik, L. C., Mimi, M. B., & Raihan, A. (2023). Nexus between urbanization, industrialization, natural resources rent, and anthropogenic carbon emissions in South Asia: CS-ARDL approach. Anthropocene Science, 2(1), 48-61. https://doi.org/10.1007/s44177-023-00047-3
Voumik, L., & Sultana, T. (2022). Impact of urbanization, industrialization, electrification and renewable energy on the environment in BRICS: Fresh evidence from novel CS-ARDL model. Heliyon, 8, e11457. https://doi.org/10.1016/j.heliyon.2022.e11457
Wang, L., Mehmood, U., Agyekum, E., Uhunamure, S., & Shale, K. (2022). Associating renewable energy, globalization, agriculture, and ecological footprints: Implications for sustainable environment in South Asian countries. International Journal of Environmental Research and Public Health, 19, 10162. https://doi.org/10.3390/ijerph191610162
Wang, X. (2021). Determinants of ecological and carbon footprints to assess the framework of environmental sustainability in BRICS countries: A panel ARDL and causality estimation model. Environmental Research, 111111. https://doi.org/10.1016/j.envres.2021.111111
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and statistics, 69(6), 709-748. https://doi.org/10.1111/j.1468-0084.2007.00477.x
Zhang, L., Yang, B., & Jahanger, A. (2022). The role of remittance inflow and renewable and non-renewable energy consumption in the environment: Accounting ecological footprint indicator for top remittance-receiving countries. Environmental Science and Pollution Research, 29(11), 15915-15930. https://doi.org/10.1007/s11356-021-16545-z
Zhang, S., Xu, G., Shu, Y., Zhu, J., & Cheng, W. (2024). Comparing developed and emerging nations’ economic development with environmental footprint for low-carbon competitiveness. Heliyon, 10, e34039. https://doi.org/10.1016/j.heliyon.2024.e34039
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


