Trade and Human Capital in Global Value Chain in Developed and Developing Countries

Wenxiao, Wang; Thangavelu, Shandre M.

doi:10.1162/asep_a_00834

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…Wang, W. et al estimated an approximate gravity model of value-added trade to clarify the impact of human capital on bilateral domestic value-added trade by country and sector. Domestic value-added trade flows are heavily dependent on human capital development in both exporting and importing countries, as well as technological intensity plays an active role in value-added trade in GVCs [11]. Phillips, W. et al showed that the New Crown Pneumonia pandemic has had a huge impact on the global economy, revealing shortcomings in GVCs and demonstrating the challenges of coordinating and vulnerability of cross-sectoral GVCs.…”

Section: Introductionmentioning

confidence: 99%

Study on the Development Prospects of China-Japan Trade in the Context of Global Value Chains

Li,

2023

Applied Mathematics and Nonlinear Sciences

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This paper proposes a value-added trade measurement model after a specific analysis of the extent of China and Japan’s participation in GVCs, the mode of participation and the status of division of labor, and the characteristics of the participation structure. Combined with the ratio of value-added to total exports, China is compared with major trading countries to study China’s level of value-added in GVCs, trade characteristics, and the proportion of China’s industry-wide development. Combined with the WIOD data, based on the model proposed in this paper, the bilateral trade interests of China and Japan, the bilateral export value, and the trade interest rate of both sides are measured from 2000 to 2014. The classification method of HS commodity code is used to extract the trade data of important time nodes between China and Japan and analyze the development of the structure of commodity trade between China and Japan. It measured that in 2014, the trade interest rate of China to Japan was 81.95%, and the export of 172.911 billion dollars contained 141.707 billion dollars of trade interest. Japan’s trade benefit rate to China was 73.94%, with $95.615 billion of trade benefits included in $129.314 billion of exports. It shows that as of 2014, China has replaced Japan in the bilateral trade between China and Japan to occupy a relatively favorable position, indicating that the international division of labor between China and Japan has gradually shifted from a vertical division of labor to a horizontal division of labor.

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Section: Introductionmentioning

confidence: 99%

Study on the Development Prospects of China-Japan Trade in the Context of Global Value Chains

Li,

2023

Applied Mathematics and Nonlinear Sciences

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“…This industry is the basis of national economic development, especially industrial development [1][2][3][4]. China's equipment manufacturing industry has long been locked in the low end of the global value chain, leading to its low international competitiveness [5][6][7]. The international competitiveness of China's productive service industry is also not high due to its small and fragmented size and the imperfect industrial system [8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Ruiqing Haol, Yunxiu Sai and Qian Ren. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14] …”

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confidence: 99%

Research on multi-objective collaborative control of complex product development in equipment manufacturing industry

Hao

Yun-xiu

Ren³

2023

Applied Mathematics and Nonlinear Sciences

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Equipment manufacturing involves the integration of multiple technologies and is a complex product system. In the independent innovation of complex product systems, product development is the most important way. Multi-objective cooperative control has been applied to various industries with remarkable results. In this paper, high quality research and development of complex products in equipment manufacturing industry is the main goal. Inspired by the dimensional parameters of the key structures of the product and the structure of the endocrine regulation network, a multi-objective collaborative controller consisting of a speed and position coordinator, a module consisting of a speed and position coordinator, a hormone discriminator, a hormone optimizer, and a controller is designed. The data from the cooperative control study shows that when the controller parameters [3, 1, 2] are used, the velocity parameter is 0.7, the differential parameter is 0.04, and the controller output parameter is 0.8. The force control parameter is 2, the differential parameter is 0.05, and the controller output parameter is 0.7. In the multi-objective cooperative control experiment, the navigator makes a uniform circular or uniform linear motion with [v 1, w 1] T = [0.06,0.09] T . The vector forms r 2 d = [0.4,0.4] T, r 3 d =[−0.1,0.2] T ,. Both the red curve and the blue curve of the follower appear jittered. The experimental curves and control trajectories illustrate that the controller has good control over the vibration and shock phenomena that occur during the position and speed as well as force control of the product. And exhibits good tracking performance. It shows that the multi-objective collaborative controller plays a role in improving the quality of the development of complex products in the equipment manufacturing industry.

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Global value chain upgrading effect of foreign capital withdrawal: Evidence from Chinese firms

Wu,

Bian,

Bai

2023

Journal of Asian Economics

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Trade and Human Capital in Global Value Chain in Developed and Developing Countries

Cited by 8 publications

References 26 publications

Study on the Development Prospects of China-Japan Trade in the Context of Global Value Chains

Study on the Development Prospects of China-Japan Trade in the Context of Global Value Chains

Research on multi-objective collaborative control of complex product development in equipment manufacturing industry

Global value chain upgrading effect of foreign capital withdrawal: Evidence from Chinese firms

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