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Yining Qin

Researcher at Lawrence Berkeley National Laboratory

Publications -  4
Citations -  287

Yining Qin is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Composite number & Gross domestic product. The author has an hindex of 3, co-authored 3 publications receiving 284 citations.

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Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan

TL;DR: The authors assesses selected policies and programs that China has instituted to fulfill the national goal, finding that China made substantial progress and many of the energy-efficiency programs appear to be on track to meet or exceed their energy-saving targets.
ReportDOI

Business Case for Energy Efficiency in Support of Climate Change Mitigation, Economic and Societal Benefits in China

TL;DR: McNeil et al. as discussed by the authors presented a business case for energy efficiency in support of climate change mitigation, economic and societal benefits in China with the International Copper Association through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
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Urban Form Energy Use and Emissions in China: Preliminary Findings and Model Proof of Concept

TL;DR: Li et al. as mentioned in this paper developed a modeling tool to quantify the full energy consequences of a particular form of urban residential development in order to identify energy and carbon-efficient modes of neighborhood-level development and help mitigate resource and environmental implications of swelling cities.
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Pathways of clean energy heating electrification programs for reducing carbon emissions in Northwest China

TL;DR: In this paper , the authors studied the cost competitiveness of clean energy heating technologies under three dynamic mechanisms: investment costs, subsidy policies, and operating costs with real data and provided key insights into the cost competitive of different heating technologies deployed in different areas, as well as their sensitivity to the three different dynamic mechanisms.