Pattern changes of ecological product trade in countries along the Belt and Road

Du, Wenpeng; Yan, Haiming; Yang, Yanzhao

doi:10.1007/s11356-023-25697-z

Cited by 2 publications

(1 citation statement)

References 38 publications

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“…Empirical evidence demonstrates that regional collaborative partnerships not only stimulate economic growth but also drive industrial structural upgrades. Finally, innovation in forest ecological products and related technologies can be facilitated through transnational research and development projects, along with the establishment of international scientific collaboration networks [128]. Concurrently, this can advance tangible industrial cooperation, enhance employment prospects, and mitigate unemployment rates.…”

Section: Discussionmentioning

confidence: 99%

Sustainability of Forest Eco-Products: Comprehensive Analysis and Future Research Directions

Wang,

Tian

2023

Forests

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Forest ecological products are closely related to ecological balance, and an in-depth understanding of the development dynamics of these products is crucial to the realization of sustainable development that integrates ecological, economic, and social benefits. Based on the Web of Science (WOS) and China National Knowledge Infrastructure (CNKI) databases, this study conducted a comprehensive econometric analysis of the number of articles, journals, research institutions, author collaborations, research hotspots, and research trends of forest ecological products globally during the period of 2003–2023 with the help of CiteSpace software (Philadelphia, PA, USA). The study’s results revealed the following insights: (1) The research on forest ecological products in recent years showed a general upward trend, but the research interest in foreign countries was higher than that in China. (2) The literature within the WOS database primarily focused on the field of ecology, whereas the literature in the CNKI database predominantly emphasized the field of forestry. (3) In both databases, the Chinese Academy of Sciences was the organization with the highest number of articles. Globally, Chinese institutions had the largest proportion of articles issued. The high percentage of articles issued by specialized agricultural and forestry schools in China showed clear domain relevance. (4) In both databases, author collaborations were relatively decentralized, and no significant core group of authors had been formed. (5) The research hotspots in foreign countries focused on the ecological regulation of forest ecological products, while the research hotspots in China focused on the realization of the economic value of forest ecological products. (6) “Machine learning”, “river basin”, and “health” are the future research frontiers in foreign countries, while “ecological function” and “forest ecosystem service” are the future research frontiers in China. The results of both databases indicate that the sustainability of forest ecological products is a research trend for the coming period. Finally, the outlook for future research on forest eco-products is presented in four aspects: promoting the establishment of a unified international standard certification system for forest eco-products, developing diversified products, strengthening the function of policy support and guidance, and establishing national partnerships.

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Section: Discussionmentioning

confidence: 99%

Sustainability of Forest Eco-Products: Comprehensive Analysis and Future Research Directions

Wang,

Tian

2023

Forests

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Study of Optimized End-to-End Convolutional Neural Network in Cross-Cultural Project Management under the “Belt and Road” Initiative

2023

Preprint

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Under the "Belt and Road" policy, the Chinese government encourages economic cooperation and mutual benefits among countries and regions along the route, promoting cooperation in infrastructure construction, trade and investment facilitation, financial cooperation, and cultural exchanges. This study aims to explore the application of optimized end-to-end convolutional neural networks (CNNs) in cross-cultural project management under the "Belt and Road" strategy. Firstly, the background and significance of the "Belt and Road" strategy and the importance of cross-cultural project management are introduced. Then, an end-to-end stereo matching network with dense feature fusion is established. Taking Project X as an example, the problems in cross-cultural project management are analyzed. Finally, through the analysis of the problems in Project X, the effectiveness and practicality of the optimized end-to-end CNNs in cross-cultural project management are confirmed, and feasible solutions are proposed. The research results show that the end-to-end stereo matching network with dense feature fusion has significant advantages over traditional algorithms in terms of error and execution efficiency, with a reduced response time of 0.22 seconds. Based on the principles of the end-to-end model, feasible solutions are proposed for the problems in Project X, validating the rationality and scientific nature of this research. Through deep learning techniques, the efficiency and accuracy of cross-cultural project management can be improved, promoting economic cooperation and cultural exchanges among countries and regions along the "Belt and Road". This technology can also identify and analyze behaviors and attitudes in different cultural backgrounds, helping project managers better understand and address issues in cross-cultural communication. Furthermore, this technology will facilitate economic cooperation and cultural exchanges along the "Belt and Road", promoting the implementation of the strategy.

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Pattern changes of ecological product trade in countries along the Belt and Road

Cited by 2 publications

References 38 publications

Sustainability of Forest Eco-Products: Comprehensive Analysis and Future Research Directions

Sustainability of Forest Eco-Products: Comprehensive Analysis and Future Research Directions

Study of Optimized End-to-End Convolutional Neural Network in Cross-Cultural Project Management under the “Belt and Road” Initiative

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