Journal ArticleDOI
Digital finance, green technological innovation and energy-environmental performance: Evidence from China's regional economies
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TLDR
Wang et al. as mentioned in this paper explored the impact of digital finance on energy-environmental performance in China and found that digital finance has a greater stimulus effect on energy environment performance where credit and capital markets are more immature.About:
This article is published in Journal of Cleaner Production.The article was published on 2021-12-10. It has received 178 citations till now. The article focuses on the topics: Capital market.read more
Citations
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How does digital finance influence green technology innovation in China? Evidence from the financing constraints perspective.
Bo Q. Lin,Ruiyang Ma +1 more
TL;DR: Wang et al. as mentioned in this paper explored the internal influencing mechanism of digital finance on the quantity and quality of green technology innovation, panel data of 271 prefecture-level cities from 2011 to 2019 in China is used.
Journal ArticleDOI
Influence of digital finance and green technology innovation on China's carbon emission efficiency: Empirical analysis based on spatial metrology.
Minglong Zhang,Yin Liu +1 more
TL;DR: Wang et al. as discussed by the authors employed the improved NDDF (non-radial directional distance function) to calculate the urban carbon emission efficiency and applied the spatial econometric model to empirically analyze the impact of digital finance and green technology innovation on carbon emissions efficiency.
Journal ArticleDOI
Effects of digital economy on carbon emission reduction: New evidence from China
TL;DR: Based on China's provincial panel data from 2011 to 2019, the authors constructs a spatial panel Durbin model and a mediating effect model to investigate the mechanism and influence of the digital economy on carbon emission reduction.
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Digitalization and sustainable development: How could digital economy development improve green innovation in China?
TL;DR: Zhang et al. as mentioned in this paper used principal component analysis (PCA) to evaluate the advancement level of the urban digital economy and employed the number of urban green patent applications to represent green innovation level.
Journal ArticleDOI
Impacts of green finance on green innovation: A spatial and nonlinear perspective
TL;DR: Wang et al. as discussed by the authors provided an in-depth understanding of the mechanisms of green finance on green innovation, focusing on their spatial and non-linear relationships using panel data of 30 provinces of China during the period of 2009-2017, a green finance index is constructed, and the spatial Durbin model and panel threshold model are used.
References
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Journal ArticleDOI
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
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Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.
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Law, finance, and economic growth in China
TL;DR: Li et al. as mentioned in this paper showed that the private sector grows much faster than the other three sectors and provides most of the economy's growth, while the law-finance growth nexus applies to the State Sector and the Listed Sector, with arguably poorer applicable legal and financial mechanisms.
Journal ArticleDOI
Root-n-consistent semiparametric regression
TL;DR: In this article, a variable aleatoire (X,Z) dans #7B-R P ×#7b-R q is considered, and an estimateur generalisant l'estimateur des moindres carres ordinaires en inserant des estimateurs non parametriques de la regression dans la projection orthogonale non lineaire sur Z is constructed.
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