7 Papers
33 Citations
Fucai Lu is an academic researcher from Jiangxi University of Finance and Economics. The author has contributed to research in topics: Green development & Computer science. The author has an hindex of 5, co-authored 5 publications.
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Papers
Spatial-temporal disparities and influencing factors of total-factor green use efficiency of industrial land in China
TL;DR: Wang et al. as discussed by the authors estimate the dynamic performance of the total-factor green use efficiency of industrial land (TGUEIL) in China by using a global non-radial directional distance function (GNDDF) and the nonradial Malmquist performance (NMPILGU), and the results show that the TGUEIL had a rising trend in most years during 2006-2015.
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Does intensive land use promote a reduction in carbon emissions? Evidence from the Chinese industrial sector.
TL;DR: In this article, the impacts of population size, wealth level, technology level, and four representative indicators of intensive industrial land use (IILU) on CO2 emissions in China from 2006 to 2015 were estimated.
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Exploring the mechanisms of ecological land change based on the spatial autoregressive model: a case study of the Poyang Lake Eco-Economic Zone, China.
TL;DR: The results demonstrated that the higher economic development level and industrialization rate were the main drivers for the faster change of ecological land in the study area and indicated significant positive spatial correlation.
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Impacts of platform design on consumer commitment and online review intention: does use context matter in dual-platform e-commerce?
TL;DR: Zhang et al. as discussed by the authors explored the antecedents of consumers' online review intention in e-commerce platforms from a unique perspective of consumer commitment and platform design and found that instrumental support design factors and socio-emotional support factors positively influence consumer commitment, which further affect online review intent positively.
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Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China
TL;DR: Wang et al. as discussed by the authors applied a global non-radial directional distance function to estimate the PIGD for Jiangxi Province during 2003-2015, and provided targeted policy suggestions.
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