scholarly journals Changing Trade Structure and Industrial Deepening in the Thai Economy

2018 ◽  
Vol 4 (2) ◽  
pp. 65
Author(s):  
Sompote Kunnoot

Industrial development is increasing in complexity by economic inter-dependence within an economy. Between 1975 and 2010, Thailand’s industrial deepening was evidenced by an increase in average aggregate linkages. Backward linkages for manufacturing sectors is found to be above the agricultural and primary sectors as well as service sectors. Backward linkage improvement in the agricultural and primary sectors is matched by forward linkage improvement in the service sectors. Through the growth of intra-industry trade of the global supply chain, structural change is driven by the strong growth of manufacturing sectors, relative to the agricultural and primary sectors as well as the service sectors. Stationary backward and forward linkages in manufacturing sectors indicate constant reliance on imports and equally on the agricultural, primary and service sectors for input requirements and a strong reliance on export market for growth.

2016 ◽  
Author(s):  
Ruey Jer “Bryan” Jean ◽  
Daekwan Kim ◽  
Daniel C. Bello

Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 89
Author(s):  
Annegret Henninger ◽  
Atefeh Mashatan

The global supply chain is a network of interconnected processes that create, use, and exchange records, but which were not designed to interact with one another. As such, the key to unlocking the full potential of supply chain management (SCM) technologies is achieving interoperability across participating records systems and networks. We review existing research and solutions using distributed ledger technology (DLT) and provide a survey of its current state of practice. We additionally propose a holistic solution: a DLT-based interoperable future state that could enable the interoperable, efficient, reliable, and secure exchange of records with integrity. Finally, we provide a gap analysis between our proposed future state and the current state, which also serves as a gap analysis for many fractional DLT-based SCM solutions and research.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xingyu Li ◽  
Amin Ghadami ◽  
John M. Drake ◽  
Pejman Rohani ◽  
Bogdan I. Epureanu

AbstractThe pandemic of COVID-19 has become one of the greatest threats to human health, causing severe disruptions in the global supply chain, and compromising health care delivery worldwide. Although government authorities sought to contain the spread of SARS-CoV-2, by restricting travel and in-person activities, failure to deploy time-sensitive strategies in ramping-up of critical resource production exacerbated the outbreak. Here, we developed a mathematical model to analyze the effects of the interaction between supply chain disruption and infectious disease dynamics using coupled production and disease networks built on global data. Analysis of the supply chain model suggests that time-sensitive containment strategies could be created to balance objectives in pandemic control and economic losses, leading to a spatiotemporal separation of infection peaks that alleviates the societal impact of the disease. A lean resource allocation strategy can reduce the impact of supply chain shortages from 11.91 to 1.11% in North America. Our model highlights the importance of cross-sectoral coordination and region-wise collaboration to optimally contain a pandemic and provides a framework that could advance the containment and model-based decision making for future pandemics.


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