FOREIGN DIRECT INVESTMENT, CLIMATE GOVERNANCE, AND GREEN DEVELOPMENT: EVIDENCE FROM BELT AND ROAD ECONOMIES

Main Article Content

K. M. Anwarul Islam

Abstract

Foreign direct investment (FDI) is the largest source of external finance for the developing countries that partner with the Belt and Road Initiative (BRI). However, its consequences for climate action and green development remain contested: the pollution-haven view expects capital to migrate to jurisdictions with lax environmental regulation, whereas the pollution-halo view expects foreign firms to transfer cleaner technology and energy-efficiency practices. This study examines whether climate governance moderates, and the renewable energy transition mediates, the effect of FDI on green development in Belt and Road economies. It employs a balanced panel of 40 BRI partner economies over 2006–2025 (800 country-year observations) and a Green Development Index that combines CO2 intensity, energy intensity, forest cover and air-quality exposure, together with a Climate Governance Index built from governance indicators and the stock of climate laws. Panel unit-root, cointegration, ARDL/ECM, bounds, Dumitrescu–Hurlin causality, VECM/VAR, impulse-response, variance-decomposition, mediation, Durbin–Wu–Hausman and two-stage least squares procedures are applied. The results show that a one-percentage-point rise in FDI lowers the Green Development Index by 0.63 points at the mean level of climate governance, but the FDI × governance interaction (0.037, p < 0.01) turns the effect positive once the governance index exceeds about 62; the long-run FDI coefficient in the error-correction model is -2.55 with an adjustment speed of 0.20 per year, and FDI raises the renewable share by 0.49 points, yielding an indirect effect of +0.09 (bootstrap 95% CI [0.03, 0.18]). The findings suggest that FDI is a pollution haven under weak climate governance and a pollution halo under strong climate governance, and that the diffusion of renewable energy partly offsets its direct environmental costs.


JEL Classification Codes: F21, F64, O44, Q56, Q58, C33.

Downloads

Download data is not yet available.

Article Details

Section

Research Paper/Theoretical Paper/Review Paper/Short Communication Paper

Author Biography

K. M. Anwarul Islam , Research Professor, Department of Business Administration, University of Asia Pacific, Bangladesh

Dr. K. M. Anwarul Islam is a Full Research Professor, Department of Business Administration, University of Asia Pacific (UAP), BD and a Research Fellow at INTI International University, Malaysia. He previously served as Dean of the School of Business and Social Sciences and as Chairman of the Department of Business Studies at the State University of Bangladesh. He is a graduate of the University of Dhaka and earned his PhD from Universiti Selangor, Malaysia. Through his scholarly output and academic leadership, he has established himself as an internationally recognised researcher in finance and banking.

Dr. Islam has authored or presented approximately 200 research papers, appearing in journals listed in the ABDC, ABS and ERA rankings and indexed in Scopus (Q1/Q2) and Web of Science (SCIE, SSCI and ESCI). He has also written five books, serves on the editorial boards of several international journals, and contributes to a number of professional societies and institutional committees.

As of September 2026, his work has attracted more than 4,252 citations on Google Scholar, with an h-index of 33 and an i10-index of 119, and 1003 citations on Scopus, with an h-index of 20. He has been recognised as a Top Scientist by the AD Scientific Index, which ranked him first in Bangladesh in Business Administration for 2027.

How to Cite

Islam , K. M. A. . (2026). FOREIGN DIRECT INVESTMENT, CLIMATE GOVERNANCE, AND GREEN DEVELOPMENT: EVIDENCE FROM BELT AND ROAD ECONOMIES. Bangladesh Journal of Multidisciplinary Scientific Research, 11(6), 1-16. https://doi.org/10.46281/bjmsr.v11i6.2956

References

Andrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. https://doi.org/10.2307/2951764

Baltagi, B. H. (2024). Hausman's specification test for panel data: Practical tips. Advances in Econometrics, 46, 13–24. https://doi.org/10.1108/S0731-905320240000046002

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173

Bergougui, B. (2024a). Algeria's pathway to COP28 and SDGs: Asymmetric impact of environmental technology, energy productivity, and material resource efficiency on environmental sustainability. Energy Strategy Reviews, 55, 101541. https://doi.org/10.1016/j.esr.2024.101541

Bergougui, B. (2024b). Investigating the relationships among green technologies, financial development and ecological footprint levels in Algeria: Evidence from a novel Fourier ARDL approach. Sustainable Cities and Society, 112, 105621. https://doi.org/10.1016/j.scs.2024.105621

Bergougui, B., Boudjana, R., Mehibel, S., & Zambrano-Monserrate, M. A. (2024). How do institutional quality and income asymmetrically affect carbon emissions inequality? A quantile-on-quantile assessment for six major global emitters. Journal of Cleaner Production, 483, 144215. https://doi.org/10.1016/j.jclepro.2024.144215

Bergougui, B., Mehibel, S., & Boudjana, R. (2024). Asymmetric nexus between green technologies, economic policy uncertainty, and environmental sustainability: Evidence from Algeria. Journal of Environmental Management, 360, 121172. https://doi.org/10.1016/j.jenvman.2024.121172

Byaro, M., & Rwezaula, A. (2024). How do technological innovation and urbanization drive economic growth in Tanzania and transform societies? Exploring the potential channels. Journal of Economy and Technology, 2, 235–246. https://doi.org/10.1016/j.ject.2024.08.001

Chen, K., Liu, R., & Chen, Z. (2024). Paving the path towards carbon neutrality: Revealing the contribution of the "Belt and Road" Initiative in mitigating carbon intensity. Environmental Science and Pollution Research, 31(19), 28077–28089.

Copeland, B. R., & Taylor, M. S. (2004). Trade, growth, and the environment. Journal of Economic Literature, 42(1), 7–71. https://doi.org/10.1257/002205104773558047

Driscoll, J. C., & Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. Review of Economics and Statistics, 80(4), 549–560. https://doi.org/10.1162/003465398557825

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

Dunning, J. H. (1980). Toward an eclectic theory of international production: Some empirical tests. Journal of International Business Studies, 11(1), 9–31. https://doi.org/10.1057/palgrave.jibs.8490593

Ehigiamusoe, K. U., Chen, D., Dogan, E., & Binsaeed, R. H. (2025). Unravelling the moderating roles of environmental regulations on the impact of foreign direct investment on environmental sustainability. Journal of Environmental Management, 375, 124175. https://doi.org/10.1016/j.jenvman.2025.124175

Eskeland, G. S., & Harrison, A. E. (2003). Moving to greener pastures? Multinationals and the pollution haven hypothesis. Journal of Development Economics, 70(1), 1–23. https://doi.org/10.1016/S0304-3878(02)00084-6

Gan, J. (2025). New insights into how green innovation, renewable energy, and institutional quality shape environmental sustainability in emerging economies. Frontiers in Environmental Science, 13, 1525281. https://doi.org/10.3389/fenvs.2025.1525281

Grossman, G. M., & Krueger, A. B. (1995). Economic growth and the environment. Quarterly Journal of Economics, 110(2), 353–377. https://doi.org/10.2307/2118443

Han, M., & Li, W. (2024). Tele-connecting renewable energy availability from production to consumption via multinational supply chains. Renewable Energy, 227, 120405. https://doi.org/10.1016/j.renene.2024.120405

Han, Y. G., Li, Z. T., Feng, T. C., Qiu, S. L., Hu, J., Yadav, K. K., & Obaidullah, A. J. (2024). Unraveling the impact of digital transformation on green innovation through microdata and machine learning. Journal of Environmental Management, 354, 120271. https://doi.org/10.1016/j.jenvman.2024.120271

Hasanat, M. A., Bhawmick, S., Hasan, M. P., Roy, R., & Islam, D. (2025). Navigating the agricultural landscape: The impact of climate on Bangladesh's farming practices. Bangladesh Journal of Multidisciplinary Scientific Research, 10(5), 34–45. https://doi.org/10.46281/c27b3q22

Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. https://doi.org/10.2307/1913827

Hwang, Y. K., & Venter, A. (2025). The impact of the digital economy and institutional quality in promoting low-carbon energy transition. Renewable Energy, 238, 121884. https://doi.org/10.1016/j.renene.2024.121884

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

Jafary, F., Ashani, A. N., & Afsharirad, M. (2024). Exploring the impact of financial development on energy intensity in a global study: Do levels of innovation and technology matter? Heliyon, 10(21), e39331. https://doi.org/10.1016/j.heliyon.2024.e39331

Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1–44. https://doi.org/10.1016/S0304-4076(98)00023-2

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

Li, L., & Wang, Y. (2025). The impact of coordinated two-way FDI development on carbon emissions in Belt and Road countries: An empirical analysis based on the STIRPAT model and GMM estimation. Sustainability, 17(19), 8640. https://doi.org/10.3390/su17198640

Li, L., & Zhou, H. (2025). The impact of foreign direct investment on carbon emissions in economies along the Belt and Road. Sustainability, 17(13), 5905. https://doi.org/10.3390/su17135905

Liu, P., Rahman, Z. U., Jóźwik, B., & Doğan, M. (2024). Determining the environmental effect of Chinese FDI on the Belt and Road countries CO2 emissions: An EKC-based assessment in the context of pollution haven and halo hypotheses. Environmental Sciences Europe, 36(1), 1–12. https://doi.org/10.1186/s12302-024-00866-0

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

Mundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46(1), 69–85. https://doi.org/10.2307/1913646

Naimoğlu, M., Şahin, S., & Özbek, S. (2025). Governance, corruption, trade openness, and innovation: Key drivers of green growth and sustainable development in Türkiye. Sustainable Development, 33(3), 4147–4162. https://doi.org/10.1002/sd.3346

Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653–670.

Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634. https://doi.org/10.1080/01621459.1999.10474156

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616

Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79–113. https://doi.org/10.1016/0304-4076(94)01644-F

Pham, P. M. H., Nguyen, T. D., Nguyen, M., & Tran, N. T. (2025). FDI inflows and carbon emissions: New global evidence. Discover Sustainability, 6, 432. https://doi.org/10.1007/s43621-025-01292-9

Porter, M. E., & Linde, C. V. D. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9(4), 97-118. https://doi.org/10.1257/jep.9.4.97

Qian, S., & Yu, W. (2024). Green finance and environmental, social, and governance performance. International Review of Economics & Finance, 89, 1185–1202. https://doi.org/10.1016/j.iref.2023.08.017

Qiu, Y., Hu, H., & Wu, J. (2024). Can the coordinated development of two-way FDI promote carbon emission reduction? Evidence from industrial sectors in China. The Journal of International Trade & Economic Development, 33(7), 1452–1475. https://doi.org/10.1080/09638199.2023.2275162

Rahman, L. A., Shamsudin, S. M., Mohamad, M., & Nahar, H. S. (2024). Green banking evolution: Mapping the state-of-the-art of literature. Bangladesh Journal of Multidisciplinary Scientific Research, 9(6), 31–46. https://doi.org/10.46281/bjmsr.v9i6.2261

Shi, H., Liu, Q., Yan, R., Li, T., Chen, N. C., & Ren, Y. (2024). International tourism carbon footprint and carbon transfer along the Belt and Road regions. Frontiers in Environmental Science, 12, 1440510. https://doi.org/10.3389/fenvs.2024.1440510

Siddikee, M. J. A., Haq, A. Z., Parvin, S., Ahammed, M. M. U., & Zabin, S. (2024). Effects of green finance on non-performing loan of banks: Evidence from Bangladesh. Bangladesh Journal of Multidisciplinary Scientific Research, 9(6), 47–57. https://doi.org/10.46281/bjmsr.v9i6.2263

Siddikee, M. J. A., Haq, A. Z., Parvin, S., Begum, H., & Fatema, M. R. (2025). Impact of green finance on environmental and social risk management influencing performances of banks: Evidence from Bangladesh. Bangladesh Journal of Multidisciplinary Scientific Research, 10(1), 34–45. https://doi.org/10.46281/bjmsr.v10i1.2285

Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290–312. https://doi.org/10.2307/270723

Teklie, D. K., & Yağmur, M. H. (2024). The role of green innovation, renewable energy, and institutional quality in promoting green growth: Evidence from African countries. Sustainability, 16(14), 6166. https://doi.org/10.3390/su16146166

Wang, Y., Zhang, R., Wang, S., Wang, L., Dai, X., & Zu, Z. (2025). Carbon flow tracking and network reconfiguration: A network evolution analysis of embodied carbon emissions from Belt and Road trade under regional and industry perspectives. Frontiers in Sustainable Cities, 7, 1617630. https://doi.org/10.3389/frsc.2025.1617630

Xie, Z., & Zhou, Q. (2025). Guiding innovation towards green: The pivotal role of environmental regulations on innovation direction. RAIRO – Operations Research, 59(1), 683–699. https://doi.org/10.1051/ro/2025005

Yan, M., & Gong, X. (2024). Impact of green credit on green finance and corporate emissions reduction. Finance Research Letters, 60, 104900. https://doi.org/10.1016/j.frl.2023.104900

Yıldırım, M., Destek, M. A., & Manga, M. (2024). Foreign investments and load capacity factor in BRICS: The moderating role of environmental policy stringency. Environmental Science and Pollution Research, 31(7), 11228–11242. https://doi.org/10.1007/s11356-023-31814-9

Yu, H., Xu, J., Hu, H., Shi, X., Wang, J., & Liu, Y. (2024). How does green technology innovation influence industrial structure? Evidence of heterogeneous environmental regulation effects. Environment, Development and Sustainability, 26(7), 17875–17903. https://doi.org/10.1007/s10668-023-03369-9

Yusoh, N. N. A. M., Mat, T. Z. T., & Abdullah, A. (2024). The impacts of environmental management accounting system (EMAS) adoption phases on sustainability performance: A social issue life cycle theory approach. Bangladesh Journal of Multidisciplinary Scientific Research, 9(4), 25–38. https://doi.org/10.46281/bjmsr.v9i4.2245

Zhang, D., Feng, K., Zhou, P., & Wang, H. (2024). Determinants of the growing material footprints along the Belt and Road. Journal of Industrial Ecology, 28(4), 840–852. https://doi.org/10.1111/jiec.13497

Zhao, X., Lynch, J. G., Jr., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206. https://doi.org/10.1086/651257

Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. https://doi.org/10.1080/07350015.1992.10509904

Similar Articles

You may also start an advanced similarity search for this article.