Shuhong Wang
Ocean University of China
5 Papers
Shuhong Wang is an academic researcher from Ocean University of China. The author has contributed to research in topics: Marine conservation & Geology. The author has an hindex of 3, co-authored 4 publications. Previous affiliations of Shuhong Wang include Shandong University of Finance and Economics.
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Papers
Could environmental regulation and R&D tax incentives affect green product innovation?
TL;DR: Wang et al. as mentioned in this paper analyzed the effect of environmental regulation and R&D tax incentives on green product innovation from a disciplinary and incentive perspective, and showed a U-shaped relationship between environmental regulations and green product innovations.
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Opening up, international trade, and green technology progress
Binru Cao,Shuhong Wang +1 more
TL;DR: In this article, the influence of trade on green technology progress in China's economy was investigated. But the authors focused on the impact of trade in green technology. And they focused on two countries (a developed country and a developing country), two goods (cleaner goods and dirty goods), and two factors (labor and capital).
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A Review on Marine Economics and Management: How to Exploit the Ocean Well
Shuhong Wang,Weiyao Li,Lu Xing +2 more
TL;DR: In this article , the authors focus on four dimensions of marine development: marine economy, marine resources, marine ecology, and marine accounting, with the objective of establishing methods for high-quality marine development and effective marine management.
Construction and analogue simulation of TERE model for measuring marine bearing capacity in Qingdao
TL;DR: Wang et al. as mentioned in this paper constructed a system dynamics model of the marine bearing capacity in Qingdao, China and established the TERE model to simulate the status of 30 variables when the system reached a steady state.
17
Urban circular economy performance evaluation: A novel fully fuzzy data envelopment analysis with large datasets
TL;DR: Li et al. as mentioned in this paper constructed a fully fuzzy data envelopment analysis (DEA) with large datasets to evaluate the urban circular economy and provided a modified algorithm to overcome calculation difficulties due to voluminous data and large-scale decision-making units.