The impact of outward foreign direct investment on green innovation: the threshold effect of environmental regulation

Author(s):  
Lihua Dai ◽  
Xiuru Mu ◽  
Chien-Chiang Lee ◽  
Wei Liu
Author(s):  
Zhijun Feng ◽  
Bo Zeng ◽  
Qian Ming

This paper adopts 2009 to 2015 panel data from 27 manufacturing industries in China. A Super-SBM model is used to measure the green innovation efficiency (GIE) of China’s manufacturing industry. A panel data model is then built to systematically examine the impact of environmental regulation (ER) and two-way foreign direct investment (FDI) on the GIE of China’s manufacturing industry under a unified analysis framework. The results are as follows: (1) the overall level of the green innovation efficiency in China’s manufacturing is low, and there is still great potential for improvement. Considering industry heterogeneity, the green innovation efficiency of patent-intensive manufacturing is significantly higher than that of non-patent-intensive manufacturing; (2) in terms of the whole manufacturing industry, ER and the interaction between ER and outward foreign direct investment (OFDI) have significantly negative effects on GIE, OFDI has significantly positive effects on GIE. (3) when considering industry heterogeneity, for patent-intensive manufacturing, ER and the interaction between ER and inward foreign direct investment (IFDI) have significantly negative effects on GIE, while IFDI has significantly positive effect on GIE. For non-patent-intensive manufacturing, ER and the interaction between ER and OFDI have significantly negative effects on GIE, while IFDI and the interaction between ER and IFDI have significantly positive effects on GIE.


2021 ◽  
Author(s):  
Wei Qiu ◽  
Yaojun Bian ◽  
Jinwei Zhang ◽  
Muhammad Irfan

Abstract Environmental pollution is becoming more and more prevalent in China, accompanied by the excessive expansion of the country's foreign direct investment in the scale of resource-based industries. This article uses the panel data of 276 prefecture-level cities in China from 2003 to 2016 to estimate the impact of environmental regulation on foreign direct investment by employing the Spatial Durbin model. The empirical results show that: firstly, environmental regulation, and foreign direct investment have an obvious spatial correlation. Secondly, environmental regulation significantly inhibits foreign direct investment and has significant negative space spillover. Thirdly, non-eastern cities' environmental regulation has significantly greater inhibitory effects on foreign direct investment than eastern cities, and the key cities' environmental regulation has greater inhibitory effects than ordinary cities. Finally, from the perspective of industrial upgrading and resource configuration, environmental regulation has significantly promoted foreign direct investment and have significant negative space spillovers. Therefore, the reasonable use of environmental regulatory measures through industrial upgrading and resource configuration to attract clean, capital-intensive and technology-intensive enterprises and to achieve the effect of "decontamination and clean" for foreign-funded enterprises is critical.


Author(s):  
Yuanbing Zhu ◽  
Xueying Chen ◽  
Gang Wang ◽  
Zuchang Zhong ◽  
Meier Zhuang

From the practice of developed countries, countries with higher patent applications and PCT patent applications (such as the United States, China, Japan, the United Kingdom, Germany, etc.) have relatively higher outward foreign direct investment, and the actual data of provinces in China also show that with the improvement of the patent level in various provinces and cities, the intensity of outward foreign direct investment in each province and city has also increased. At present, there are relatively few research data and the research method is relatively single. Therefore, collecting panel data on China’s 31 provinces from 2003 to 2016, this paper conducts an empirical analysis on the influence of patent level on outward foreign direct investment via analytical method of equal part linear regression and Grey Computing. By comparing analysis results with the model and the results with conventional linear regression model, the difference of different regression models is observed. Furthermore, the impact of China’s patent level on China’s inter-provincial outward foreign direct investment is further analyzed.


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