Analysis of Factors Affecting Chinese Outward Foreign Direct Investment: An Empirical Study Based on Stochastic Frontier Model

Wang, Qinxuan

doi:10.4236/jss.2021.93002

Cited by 6 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another type of research started from the characteristic facts and explored the main factors affecting FDI flow, among which the following three factors are the most recognized: policy system, marketization degree, and environmental regulation intensity. In terms of policy systems, FDI is affected by the improvement degree of the economic system (Zeng, 2016) and the national investment guiding policy (Wang, 2021) in the host country. And in terms of marketization, the level of economic development (Tang et al, 2018), the degree of trade openness (Wang, 2021), and human capital (Tang et al, 2018) will affect the location selection of FDI.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In terms of policy systems, FDI is affected by the improvement degree of the economic system (Zeng, 2016) and the national investment guiding policy (Wang, 2021) in the host country. And in terms of marketization, the level of economic development (Tang et al, 2018), the degree of trade openness (Wang, 2021), and human capital (Tang et al, 2018) will affect the location selection of FDI. Scholars have different opinions on the intensity of environmental regulation, and some scholars believe that low environmental standards (Zhu et al, 2011) and lax environmental regulations (Guo and Han, 2008) are conducive to attracting foreign capital inflows; however, some other scholars believe that the strict environmental regulations have brought cost advantages (Dijkstra et al, 2011), thus promoting FDI inflow.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Does the Carbon Emission Trading Policy Promote Foreign Direct Investment?: A Quasi-Experiment From China

Shao

Yu²,

Chen³

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

As an important policy to promote global energy transition and carbon emission reduction, does the carbon emission trading policy help promote foreign direct investment inflows, thus alleviating the contradiction between environment and economic development? Based on the “OLI paradigm,” by using the data of China’s 30 provinces from 2007 to 2016 and taking China’s pilot implementation carbon emission transaction policy in 2013 as the natural experiment, so as to construct a differences-in-differences model, this study empirically analyzed the impact of carbon emission transaction policies on foreign direct investment and conducted an in-depth analysis and discussion on related heterogeneity. The empirical results show that 1) there is a positive correlation between the carbon emission trading policy and foreign direct investment; 2) the results of heterogeneity analysis show that the effect of carbon emission trading policy on the increase in FDI is more significant in the areas with a stronger environmental regulation, a higher degree of marketization, and low energy consumption. The conclusions of this study enrich the analysis of the effectiveness of government environmental policies from the perspective of both environment and economic development and provide relevant policy enlightenment for developing countries in environmental regulation and attracting foreign direct investment.Systematic Review Registration: [website], identifier [registration number].

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Does the Carbon Emission Trading Policy Promote Foreign Direct Investment?: A Quasi-Experiment From China

Shao

Yu²,

Chen³

2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Li proposes a method based on learner learning progress to determine the approximate learner method, track Internet learner learning behavior, dynamic, and dynamic recommendation learning resources [10]. Wang et al are integrated with the learning model in the Internet environment with current mature digital learning models, and construct Internet learning personalized recommendation services that conform to user learning habits [11]. Mou and Huang propose a smart E-learning recommendation system that can evolve and achieve adaptive to learners and open network environments [12].…”

Section: Related Workmentioning

confidence: 99%

University English Network Teaching Resource Bank Construction Based on Cooperative Filter Algorithm

Wei

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In recent years, with the rapid development of the network, related applications have also been greatly developed. Online-based online learning systems allow learners to ignore the difference in time and more convenient learning. It does not stick to the characteristics of classroom learning, which greatly meets the characteristics of contemporary education, and also enriches the diversity of education. This paper optimizes the recommendation technology of the personalized recommendation system of college English network teaching resource library, which is to propose a recommended model for the synergistic filtering algorithm using a combination of project properties and user attributes. Based on the detailed analysis of the network teaching resource construction platform, the algorithm is applied to the network teaching system, filled into the original matrix to obtain a dense pseudocomment matrix, and then find the user’s own attribute information and rating information in the pseudocommentary matrix. The recent neighbor of the target user calculates the target user’s preevaluation project for the nonscore item based on the nearest neighboring rating information and finally receives the highest recommendation list. After experimental analysis, the collaborative filtering algorithm proposed in this article was significantly higher than that of the remaining two, and the precision and recall values were also slightly more than about 0.2 in the F -measure evaluation criteria, bounded about 2%.

show abstract

Effect of Host Country Determinants and Institutional Quality on Outward Foreign Direct Investment from Central, Eastern and South-Eastern Europe

Kurtović,

Maxhuni,

Halili

et al. 2023

J Knowl Econ

View full text Add to dashboard Cite

Analysis of Factors Affecting Chinese Outward Foreign Direct Investment: An Empirical Study Based on Stochastic Frontier Model

Cited by 6 publications

References 4 publications

Does the Carbon Emission Trading Policy Promote Foreign Direct Investment?: A Quasi-Experiment From China

Does the Carbon Emission Trading Policy Promote Foreign Direct Investment?: A Quasi-Experiment From China

University English Network Teaching Resource Bank Construction Based on Cooperative Filter Algorithm

Effect of Host Country Determinants and Institutional Quality on Outward Foreign Direct Investment from Central, Eastern and South-Eastern Europe

Contact Info

Product

Resources

About