China has emerged as the leading spender on clean energy investments and finance, according to the latest Pew Report. In 2009, China invested $34.6 billion in the clean energy economy – nearly double the U.S. total of $18.6 billion. Over the last five years, the United States also trailed five G-20 members — Turkey, Brazil, China, the United Kingdom and Italy — in the rate of clean energy investment growth.
In “Who’s Winning the Clean Energy Race? Growth, Competition and Opportunity in the World’s Largest Economies,” Pew examines key financial, investment and technological trends related to G-20 members and the clean energy economy. The report tracks and measures global investment activity – ranging from venture capital, initial public offerings from companies seeking to expand, mergers and acquisitions and lending for large-scale projects – in this sector. Pew found that the global clean energy economy has experienced remarkable growth:
“Even in the midst of a global recession, the clean energy market has experienced impressive growth,” Phyllis Cuttino, who directs the Pew Environment Group’s Global Warming Campaign, said in a statement. “Countries are jockeying for leadership. They know that investing in clean energy can renew manufacturing bases, and create export opportunities, jobs and businesses.”
The U.S. clean energy finance and investments lagged behind 10 G-20 members in percentage of gross domestic product. For instance, in relative terms, Spain invested five times more than the United States last year, and China and the United Kingdom three times more.
The United States did lead G-20 members in venture capital and private equity investments associated with technology innovation. However, it trailed in 2009 asset financing, with only $11.2 billion, while China led with $29.8 billion. Asset financing serves as a key barometer of clean energy deployment, job creation and business growth.
“The United States’ competitive position is at risk in the emerging clean energy economy,” said Cuttino. “Our nation has a critical choice to make: pass the federal policies necessary to position us as the world leader in the large and growing global clean energy market or continue to watch as China and other countries race ahead.”

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Latest News - Resources Resource HubsFeatured ResourcesLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer?
The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data
Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands
IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureAI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Artificial Intelligence -
Video -
Big Data & Analytics -
Cloud -
Networking - Cybersecurity Cybersecurity
- Applications Applications
- IT Management IT Management
- Storage Storage
- Mobile Mobile
- Small Business Small Business
- Development Development
- Database Database
- Servers Servers
- Android Android
- Apple Apple
- Innovation Innovation
- PC Hardware PC Hardware
- Reviews Reviews
- Search Engines Search Engines
- Virtualization Virtualization
-
- Blogs Blogs
- Events Events