iosr-jmr   Volume-3 ~ Issue-1 ~ Jan. – Feb. 2026

ABSTRACT: This paper examines why Nigeria’s extensive climate policy architecture has failed to translate into effective on-ground outcomes, asking what structural factors drive the persistent climate policy–implementation gap and how these constraints can be overcome. Using a mixed-methods design, the study draws on 45 semi-structured interviews with policymakers, civil society actors, private-sector stakeholders, and development partners; systematic...

Keywords: Climate governance; implementation gap; Nigeria; institutional fragmentation; climate finance; inclusive governance.

[1]. African Development Bank. (2023). African Climate Policy And Institutional Capacity Outlook. Afdb.
[2]. African Development Bank. (2024). Climate Finance Readiness And Public Financial Management In Africa. Afdb.
[3]. Ansell, C., Sørensen, E., & Torfing, J. (2024). Democratic Governance In Turbulent Times: The Challenge Of Adaptive Coordination. Governance, 37(1), 5–24. Https://Doi.Org/10.1111/Gove.12708
[4]. Bäckstrand, K., Kuyper, J. W., & Lövbrand, E. (2023). Governing Climate Transformation: Polycentricity, Accountability, And Power. Environmental Politics, 32(4), 623–643. Https://Doi.Org/10.1080/09644016.2022.2140039
[5]. Beach, D., & Pedersen, R. B. (2023). Process-Tracing Methods (2nd Ed.). University Of Michigan Press.

ABSTRACT: This paper analyzes the theory of GLobAL NeURAL WoRKspAce THeoRy (GNW), by Stanislas Dehaene and Jean Pierre Changeux, developed from the theory of GLobAL WoRKspAce THeoRy (GWT), proposed by Bernard Baars in the 1980s. GNW is a cognitive model of consciousness that seeks to explain how the brain integrates, selects, and disseminates information among dif- ferent modules or specialized systems, such as vision, hearing, memory, language, etc. Next, several proposals for mathematical and computational modeling are made, using various neural network architectures used in ”Deep Learning....

[1]. [Dehaene & Changeux 2006] Dehaene, S., Changeux, J.P., Naccache, L., Sackur, J., Sergent, C. (2006). Conscious, Preconscious, And Subliminal Processing: A Testable Taxonomy. Trends In Cognitive Sciences, 10(5), 204- 211.
[2]. [Dehaene & Changeux 1998] Dehaene, S., Kerszberg, M., Changeux, J.P. (1998). A Neuronal Model Of A Global Workspace In Effortful Cognitive Tasks. Proceedings Of The National Academy Of Sciences, 95(24), 14529-14534.
[3]. [Coolen 2005] Coolen, A. C. C., Ku¨ Hn, R., & Sollich, P., ”Theory Of Neuronal Information Processing Systems”. Oxford University Press 2005.
[4]. [Hopfield 1982] Hopfield, J.J. (1982). Neural Networks And Physical Systems With Emergent Collective Computational Abilities. Proceedings Of The Na- Tional Academy Of Sciences, 79(8), 2554-2558.
[5]. [Hertz 1991] , J., Krogh, A., Palmer, R.G. (1991). Introduction To The Theory Of Neural Computation. Addison-Wesley Publishing Company.

ABSTRACT: Nigeria presents a critical paradox in global climate governance: despite sophisticated policy frameworks and substantial international climate finance mobilisation, implementation outcomes remain persistently weak. This article argues that Nigeria’s climate policy implementation gap is fundamentally rooted in exclusionary governance and political–economic dynamics, rather than technical or resource deficits alone. Drawing on qualitative...

Keywords: Climate governance; political economy; Nigeria; climate finance; exclusion; implementation gap; sustainable development.

[1]. African Development Bank. (2022). African Economic Outlook 2022: Supporting Climate Resilience. Afdb.
[2]. African Development Bank. (2023). Climate Finance Readiness And Public Financial Management In Africa. Afdb.
[3]. African Development Bank. (2024). African Climate Governance And Institutional Capacity Review. Afdb.
[4]. Ansell, C., Sørensen, E., & Torfing, J. (2023). Interactive Governance In Complex Policy Environments. Public Administration, 101(4), 801–818.
[5]. Ansell, C., Sørensen, E., & Torfing, J. (2024). Governance In Turbulent Times. Governance, 37(1), 1–24.

ABSTRACT: This paper examines the effectiveness of Nigeria’s post-2021 climate governance architecture, asking why ambitious legal and policy commitments have not translated into coherent implementation outcomes. Grounded in Environmental Policy Integration (EPI) and institutional theory, the study adopts a qualitative case-study approach combining forty-five key informant interviews with systematic analysis of policy documents, budget statements, and implementation reports. Findings reveal that climate governance in Nigeria remains constrained...

Keywords: Climate governance; Environmental Policy Integration; institutional fragmentation; policy coherence; Nigeria; National Council on Climate Change

[1]. African Development Bank (Afdb). (2023). Climate Finance Readiness And Institutional Capacity In Africa. Afdb Group.
[2]. African Development Bank (Afdb). (2024). African Economic Outlook 2024: Mobilising Climate Finance For Development. Afdb Group.
[3]. Ansell, C., & Gash, A. (2023). Collaborative Governance At Scale: Theory, Practice, And Future Directions. Public Administration Review, 83(1), 3–16.
[4]. Biesbroek, R., Dupuis, J., Jordan, A., Wellstead, A., Howlett, M., Cairney, P., & Rayner, J. (2022). Policy Integration And Climate Governance: The Dynamics Of Multi-Level Systems. Policy Sciences, 55(3), 483–504.
[5]. Biermann, F., Hickmann, T., Sénit, C. A., Beisheim, M., Bernstein, S., Chasek, P., Grob, L., Kim, R. E., Kotzé, L. J., Nilsson, M., Ordóñez Llanos, A., Okereke, C., Pradhan, P., Raven, R., Sun, Y., & Vijge, M. J. (2022). Scientific Evidence On The Political Impact Of The Sustainable Development Goals. Nature Sustainability, 5(9), 795–800