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Guimei Zhao

Bio: Guimei Zhao is an academic researcher from Jiangsu University. The author has contributed to research in topics: Outsourcing & Panel data. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

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Journal ArticleDOI
11 Jun 2020-PLOS ONE
TL;DR: The results indicated that China had significant spatial agglomeration effects, natural restraining effects, and spatial spillover effects on the contracting projects along the Belt and Road, and the marginal impact in low-income countries exhibited a “broken line” relationship.
Abstract: The proposal of the "Belt and Road" initiative has had a positive and far-reaching impact on the economic and social development of countries and regions along the route and has provided good opportunities and conditions for the development of China's foreign contracted projects. In the present study, in view of the heterogeneous characteristics and spatial correlation of countries along the Belt and Road, panel data of 46 contracted projects in China along the Belt and Road from 2008 to 2017 were used to empirically study the spatial characteristics of resource heterogeneity and outsourcing projects in the host country from the perspectives of spatial correlation and spatial heterogeneity. The results indicated that China had significant spatial agglomeration effects, natural restraining effects, and spatial spillover effects on the contracting projects along the Belt and Road, and the marginal impact in low-income countries exhibited a "broken line" relationship. Corresponding suggestions were provided for Chinese enterprises contracting projects involving Belt and Road countries. The databases of BRI need to be established, and ensure green investment efficiency.

5 citations


Cited by
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Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper analyzed the effect and mechanism of internet development on China's haze pollution on the basis of provincial panel data in China from 2006 to 2017, and the results indicated that there is an inverted “U” curve between internet development and haze pollution in China.
Abstract: With the continuous development of cloud computing and internet of things technology, the integration of internet and haze governance has broad prospects and infinite potential. Through the internet platform and technology, environmental monitoring can be done by the internet, and realize the intellectualization of environmental management, improve the early warning ability of environmental pollution emergencies, and facilitate the public's in-depth participation in environmental supervision. The dynamic spatial Durbin model and the quantile regression model are employed to analyze the effect and mechanism of the internet development on China's haze pollution on the basis of provincial panel data in China from 2006 to 2017. The results indicate that there is an inverted “U” curve between internet development and haze pollution in China, and the conclusion is still valid after a series of robustness tests. There is significant heterogeneity between direct and indirect spillover effects. Meanwhile, from the perspective of different regions in China (such as the east-central region and western regions), the inverted “U” curve between internet development and air pollution still exists. Besides, quantile regression results also show that the suppression effect of the internet on haze pollution is getting stronger with the increase of haze concentration. The regression results of the mediation effect indicate that internet development mainly affects haze pollution by improving technological innovation and environmental governance efficiency.

121 citations

Journal ArticleDOI
28 Jan 2022-Energies
TL;DR: Wang et al. as mentioned in this paper analyzed the panel data of 30 provinces in China from 2011 to 2019 by the spatial measure model and the threshold regression model, and the results showed that the air quality level is positively correlated with green finance, but there is no spatial effect.
Abstract: In this paper, the panel data of 30 provinces in China from 2011 to 2019 are analyzed by the spatial measure model and the threshold regression model. The results show that the air quality level is positively correlated with green finance, but there is no spatial effect. The spatial effect of the three influencing factors, including the degree of openness, the level of infrastructure, and the level of education, is the crowding-out effect. At the same time, variables such as human resource level, air quality, and infrastructure construction level all have threshold effects in the relationship between green finance and economic development. The research conclusions suggested that local governments at all levels should formulate policies according to the actual situation to promote the development of provinces’ intensive, intelligent, and green development, and build a regionally-linked green finance development model, thereby promoting the improvement of green finance.

7 citations

01 Jan 2010
TL;DR: Wang et al. as mentioned in this paper discussed the issue on highway survey and design of domestic enterprises to participate in the international EPC turnkey project analysis, introduced the basic international project contracting responsibilities and the basic model and the EPC contract status and prospects at home and abroad, to guide the construction enterprises in China to meet market mechanism for integration with the international norm model.
Abstract: This paper discusses the issue on highway survey and design of domestic enterprises to participate in the international EPC turnkey project analysis,introduces the basic international project contracting responsibilities and the basic model and the EPC contract status and prospects at home and abroad,to guide the construction enterprises in China to meet market mechanism for integration with the international norm model.

1 citations