people in emerging-city corridors by 2050
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This article analyzes, from a global development perspective, how AI financial analysis tools are reshaping the ESG data ecosystem, reducing information costs for cross-border investment, and driving the flow of sustainable capital toward the Global South.
Open latest evidence noteGoalMetricCoverageTrend
SDG 6Water access72%+4.1 pts
SDG 7Clean energy61%+7.8 pts
SDG 9Infrastructure48%+2.6 pts
SDG 13Climate finance39%-1.4 pts
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01
AI Financial Analysis Tools: Information Infrastructure Transformation for Global Development Finance and ESG Investment.Reports / 08/02/2026, 11:20
02From Search Signals to Development Insights: The Strategic Value of Google Trends in Global Market ResearchEmerging Regions / 08/01/2026, 11:21
03Transnational Undercover Policing Networks: Secrecy and Accountability Deficits in Global GovernanceCooperation / 07/31/2026, 11:21
04Methane: From Super Pollutant to Climate Solution – Opportunities and Challenges for Emission Reduction from a Global Development PerspectiveClimate / 07/30/2026, 11:20
05The impact of green credit policy on the environmental performance of highly polluting enterprises: Empirical evidence from ChinaESG & Policy / 07/29/2026, 11:20
Global Development Outlook 2026PDF report · GDJ Research Series
Featured report
AI Financial Analysis Tools: Information Infrastructure Transformation for Global Development Finance and ESG Investment.
This article analyzes, from a global development perspective, how AI financial analysis tools are reshaping the ESG data ecosystem, reducing information costs for cross-border investment, and driving the flow of sustainable capital toward the Global South.
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Topic names are editorially controlled and can expand as the development coverage taxonomy matures.
Climate Finance
Adaptation funding, blended finance and implementation evidence.
Development Policy
Public systems, investment priorities and institutional capacity.
ESG Regulation
Disclosure, assurance, transition planning and regional policy shifts.
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Project design, knowledge exchange and comparative frameworks.
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people aged 15-24 in low and middle income regions
people tracked across forced-mobility datasets
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