Promoting the Effectiveness of Climate Policy through Data Analysis

Authors

  • Bin Li Columbia Climate School, Columbia University, New York, NY, 10027, USA Author

DOI:

https://doi.org/10.71222/y670p182

Keywords:

data analysis, climate policy, policy execution capability, public participation, cross disciplinary collaboration

Abstract

In the face of the intensification of global climate change, formulating scientific climate policies is essential to addressing climate challenges. However, the effectiveness of these policies is often limited by numerous factors, such as political, economic, and technological constraints, which may impede their successful implementation. In this context, data analysis is crucial as it provides important support for the planning, implementation, and effectiveness evaluation of climate policies through in-depth exploration and research of numerous climate information. This article examines the crucial role of data analysis in the process of formulating climate policies, particularly in establishing policy objectives, optimizing resource allocation, and evaluating policy effectiveness. Relying on data-driven decision support, policy makers can accurately grasp the dynamics of climate change, adjust policy directions in a timely manner, enhance policy implementation, and promote global climate governance towards sustainable development goals.

References

1. R. Carmona, G. Reed, J. Ford, S. Thorsell, R. Yon, F. Carril, and K. Pickering, "Indigenous Peoples’ rights in national climate governance: An analysis of Nationally Determined Contributions (NDCs)," Ambio, vol. 53, no. 1, pp. 138–155, 2024, doi: 10.1007/s13280-023-01922-4.

2. K. Govorukha, P. Mayer, and D. Rübbelke, "The landscape of European policies in the power sector: first-mover advantages," Mitig. Adapt. Strateg. Glob. Change, vol. 28, no. 8, p. 54, 2023, doi: 10.1007/s11027-023-10081-6.

3. A. Benedikter, "Internationale Klimapolitik als philosophische Herausforderung: Ist Emissions-Grandfathering moralisch vertretbar?," Z. Außen Sicherh. Politik, vol. 16, no. 4, pp. 417–439, 2023, doi: 10.1007/s12399-023-00966-4.

4. N. J. Rogers, V. M. Adams, and J. A. Byrne, "Factors affecting the mainstreaming of climate change adaptation in municipal policy and practice: a systematic review," Clim. Policy, vol. 23, no. 10, pp. 1327–1344, 2023, doi: 10.1080/14693062.2023.2208098.

5. A. A. Shirov and A. Y. Kolpakov, "Target scenario of low greenhouse gas emissions socio-economic development of Russia for the period until 2060," Stud. Russ. Econ. Dev., vol. 34, no. 6, pp. 758–768, 2023, doi: 10.1134/S1075700723060151.

6. R. Garaffa, et al., "Stocktake of G20 countries’ climate pledges reveals limited macroeconomic costs and employment shifts," One Earth, vol. 6, no. 11, pp. 1591–1604, 2023, doi: 10.1016/j.oneear.2023.10.012.

7. H. Straßheim, "Expertise under uncertainty: Comparing policy expert platforms at the global climate–health nexus," Aust. J. Public Adm., vol. 83, no. 2, pp. 173–191, 2024, doi: 10.1111/1467-8500.12618.

Downloads

Published

20 April 2025

Issue

Section

Article

How to Cite

Promoting the Effectiveness of Climate Policy through Data Analysis. (2025). Journal of Education, Humanities, and Social Research, 2(2), 118-124. https://doi.org/10.71222/y670p182