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Ding Li

Researcher at Southwestern University of Finance and Economics

Publications -  5
Citations -  151

Ding Li is an academic researcher from Southwestern University of Finance and Economics. The author has contributed to research in topics: Greenhouse gas & Rebound effect (conservation). The author has an hindex of 3, co-authored 5 publications receiving 49 citations.

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Driving factors of global carbon footprint pressure: Based on vegetation carbon sequestration

TL;DR: Based on vegetation carbon sequestration, the authors established a carbon footprint index to evaluate the carbon footprint pressure in 60 sample countries, and discussed the driving factors that influence carbon footprint profile pressure in various countries through IPAT equation and Logarithmic Mean Divisia Index decomposition approach.
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Analysis of the rebound effects of fossil and nonfossil energy in China based on sustainable development

TL;DR: In this paper, the authors compared the rebound effects of fossil and non-fossil energy consumption separately, and found that non-energy consumption had a higher rebound effect than fossil energy and that technological progress was helpful in decreasing the proportion of fossil energy consumption.
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China's city-level carbon emissions during 1992-2017 based on the inter-calibration of nighttime light data.

TL;DR: Li et al. as discussed by the authors developed a novel method to match satellite-based Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership's Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimated the CO2 emissions of 334 prefecture-level cities in China from 1992 to 2017.
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A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach

TL;DR: Wang et al. as discussed by the authors proposed an improved production-theoretical decomposition analysis (PDA)-Meta-frontier Malmquist index (MMI)-based method and explored carbon rebound effects in China from 2006 to 2015.
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Extended Yearly LMDI Approaches: A Case Study of Energy Consumption

TL;DR: It is found that there are mathematical relationships among the four extended LMDI approaches and a case study on China’s energy consumption is analyzed based on the four proposed approaches.