Literature DB >> 35060040

Technology imports, independent innovation, and China's green economic efficiency: an analysis based on spatial and mediating effect.

Xiao Zheng1, Hong Yu1, Lin Yang2.   

Abstract

Environmental quality and economic growth are important factors that need to be balanced for sustainable development, especially in developing countries where technology is relatively backward. Many studies have shown that technology imports may be beneficial to economic growth, but once the resources and environment are taken into consideration, the role of technology imports becomes blurred. Based on provincial panel data of China from 2004 to 2019, this paper investigates the influence mechanism of domestic and foreign technology imports on the green economic efficiency (GEE) of 30 provinces in China. There are two main conclusions: First, GEE is spatially related and the impact of technology imports on GEE has a significant spillover effect. Besides, the relationship between technology imports and GEE is non-linear, both in terms of direct and indirect effects. Second, independent innovation plays an important role in the influence mechanism of technology imports on GEE. As the level of independent innovation increased, the impact of technology imports on GEE turns from negative to positive, and it is strengthened through the channel of "transfer-absorption-diffusion-re-innovation." In this regard, some measures should be taken to enhance the role of technology imports in improving GEE.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Green economic efficiency; Independent innovation; Mediating effect; Spatial effect; Technology imports; Threshold effect

Mesh:

Year:  2022        PMID: 35060040     DOI: 10.1007/s11356-021-17499-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the "Two Mountains" Theory.

Authors:  Lindong Ma; Yuanxiao Hong; Xihui Chen
Journal:  Int J Environ Res Public Health       Date:  2022-05-26       Impact factor: 4.614

2.  A Method for Evaluating the Green Economic Efficiency of Resource-Based Cities Based on Neural Network Improved DEA Model.

Authors:  Zhifeng Shen; Ning Liu; Xialing Li; Zhengguang Kang
Journal:  Comput Intell Neurosci       Date:  2022-09-08

3.  The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model.

Authors:  Liangen Zeng
Journal:  Int J Environ Res Public Health       Date:  2022-08-29       Impact factor: 4.614

  3 in total

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