Buildings Energy Efficiency in China, Germany, and the United States

The report analyzes building energy efficiency across China, Germany, and the United States, identifying four primary policy intervention points: new construction, building retrofits, equipment, and operations. It highlights how different national contexts—such as China's rapid urbanization, Germany's aging building stock, and the U.S.'s high per capita energy use—necessitate distinct policy priorities. The document details specific barriers to efficiency, such as split incentives and high upfront costs, and reviews the current policy landscapes and research efforts of the Climate Policy Initiative in these regions.

• China's primary energy efficiency priority is ensuring high standards for new construction due to its rapid rate of urban expansion and building growth.
• Germany focuses heavily on building retrofits because of its relatively old building stock and low construction rates, with a national goal to reduce primary energy use in buildings by 80% by 2050.
• The United States lacks a single policy focus, instead utilizing a portfolio that targets new buildings, retrofits, and the high share of energy consumed by equipment.
• Energy pricing relative to income varies significantly, with the U.S. having very low electricity prices relative to income, which weakens incentives for efficiency.
• District heating in Northern China presents a specific challenge because the lack of individual heat metering makes it difficult to incentivize conservation through pricing.
• A significant barrier to energy efficiency in Germany is the high share of rented residential properties, which creates split incentives between landlords and tenants.
• In the United States, indirect emissions from electricity generation account for the majority of building sector emissions, more so than in China or Germany.
• Common barriers to the adoption of cost-effective energy efficiency measures include fragmented markets, high upfront costs, lack of information, and financing difficulties.
• CPI research in the U.S. indicates that residential building energy codes have had a modest impact on energy use and have encouraged a shift toward natural gas for heating.
• CPI research in Germany suggests that deep thermal retrofits are cost-effective when integrated into general renovation projects, but require financial support to overcome barriers.

APA

Amecke, H., Deason, J., Hobbs, A., Novikova, A., Xiu, Y., & Shengyuan, Z. (2013). Buildings Energy Efficiency in China, Germany, and the United States. Climate Policy Initiative. https://www.climatepolicyinitiative.org/wp-content/uploads/2013/04/Buildings-Energy-Efficiency-in-China-Germany-and-the-United-States.pdf

Chicago

Amecke, Hermann, Jeff Deason, Andrew Hobbs, Aleksandra Novikova, Yang Xiu, and Zhang Shengyuan. Buildings Energy Efficiency in China, Germany, and the United States. Climate Policy Initiative, 2013. https://www.climatepolicyinitiative.org/wp-content/uploads/2013/04/Buildings-Energy-Efficiency-in-China-Germany-and-the-United-States.pdf.

Wikipedia

{{cite report |last1=Amecke |first1=Hermann |last2=Deason |first2=Jeff |last3=Hobbs |first3=Andrew |last4=Novikova |first4=Aleksandra |last5=Xiu |first5=Yang |last6=Shengyuan |first6=Zhang |title=Buildings Energy Efficiency in China, Germany, and the United States |publisher=Climate Policy Initiative |date=April 2013 |url=https://www.climatepolicyinitiative.org/wp-content/uploads/2013/04/Buildings-Energy-Efficiency-in-China-Germany-and-the-United-States.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{amecke2013buildings, author = {Amecke, Hermann and Deason, Jeff and Hobbs, Andrew and Novikova, Aleksandra and Xiu, Yang and Shengyuan, Zhang}, title = {{Buildings Energy Efficiency in China, Germany, and the United States}}, institution = {Climate Policy Initiative}, year = {2013}, month = apr, url = {https://www.climatepolicyinitiative.org/wp-content/uploads/2013/04/Buildings-Energy-Efficiency-in-China-Germany-and-the-United-States.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }