Upgrading in Global Value Chain of Malaysian Aviation Industry

Dahlan, Jaslin Md; Samat, Omar; Othman, Akmal Aini

doi:10.1016/s2212-5671(15)01176-4

Cited by 3 publications

References 11 publications

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Global Value Chains: Opportunities Come With Challenges in Tunisia

NASSER¹,

OUERGHI²

2022

Glob. Econ. J.

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Using data from the OECD-Trade in Value Added (TIVA) database, this paper analyzes Tunisia’s national and sectoral participation and positioning in global value chains (GVC) during 2005–2015. This paper also aims to illustrate countries with which Tunisia is highly integrated into GVC, by exploring the countries of origin of foreign value added in Tunisian exports, and the countries exporting Tunisian domestic value added share of its gross exports. Tunisia is among the most integrated countries, during the whole period of study. It has a high level of participation in GVC in many industrial activities, particularly in the textile, clothing and leather sector, food processing, and electronic and electrical equipment. The backward linkage in its GVC integration can be explained by the choice of specialization in its production, which roughly explains its position in the middle-stream–downstream. However, its participation in value chains remains regional rather than global. Around 60% of its GVC participation is with European countries. Overall, our results suggest that Tunisia has a potential that has been well exploited for the period 2005–2010 (period before the Tunisian revolution). However, this success remains limited since political and socio-economic crises have limited the potential of Tunisia’s current participation in the GVC.

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Global Value Chains: Opportunities Come With Challenges in Tunisia

NASSER¹,

OUERGHI²

2022

Glob. Econ. J.

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Literature Review On "Spatial Distribution of Smart Specialisation"

Lin

2020

Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science

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Economic Development Forecast of China’s General Aviation Industry

et al. 2020

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Aiming at solving the problem of system external impact on China’s general aviation industry, combining functional theory and grey system theory, and applying Bayesian network reasoning technology, a grey Bayesian network reasoning prediction model of system impact and system control is established. Based on the dynamic deduction of the functional analysis factor of system impact evolution, the flight time of general aviation production operation is selected to predict the development trend of the system. Based on the current period information of the general aviation industry, the grey Bayesian network inference prediction model is used to predict the current and future trends, so as to predict the economic development trend of the general aviation industry in China. The prediction results are more accurate than those of other existing models.

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Upgrading in Global Value Chain of Malaysian Aviation Industry

Cited by 3 publications

References 11 publications

Global Value Chains: Opportunities Come With Challenges in Tunisia

Global Value Chains: Opportunities Come With Challenges in Tunisia

Literature Review On "Spatial Distribution of Smart Specialisation"

Economic Development Forecast of China’s General Aviation Industry

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