Malin Song

TL;DR: Wang et al. as mentioned in this paper decomposed technological changes into environmental technological changes and production technological changes, and analyzed the effects of technological progress on carbon emissions by embedding the Solow residual model into the logarithmic mean Divisia index model.

TL;DR: Wang et al. as discussed by the authors developed an improved approach by which to evaluate resource and environmental efficiency, based on data envelopment analysis; in this approach, the evaluation of resource inputs into the objective function is introduced.

TL;DR: In this paper, the authors incorporate macroeconomic uncertainty and high-level innovation into the framework of urban green development performance analysis, and find that the positive impact of macroeconomic uncertainties on high level innovation is related to the economic level and geographical location of cities.

TL;DR: In this article, an incremental factor decomposition model of carbon emissions that makes use of the logarithmic divisia decomposition index method was adopted to analyze the driving effect of economic scale, population size, energy intensity, and energy structure on carbon emissions in the Yangtze River Delta region between 1995 and 2010.

TL;DR: In this article, a combined decomposition approach to emissions analysis by integrating the logarithmic mean Divisia index and production-theoretical decomposition analysis was developed to study CO2 emissions.