Using Computation Evaluation to Analyze the Causality of Defense Expenditure and Economic Growth in the Northeast Asian Countries

Author(s):  
Dr. Pham Ngoc Tram Et al.

In the 21st century, in addition to the growing population and the depletion of land-based mineral and energy resources, the development of coastal economic sectors has become a new global concern.  Therefore, all marine countries in the world consider the development and use of marine resources an essential part of their national development strategy. The marine economy gradually stimulates competition among nations. This article is based on the synthesis of documents to learn and analyze experiences of coastal development in some Northeast Asian countries in the context of the Industrial Revolution 4.0. From there, draw reference lessons for Vietnam.


Author(s):  
Cher Chen ◽  
GholamReza Zandi Pour ◽  
Edwin R. de Los Reyes

This study aimed to evaluate the association of financial development and economic growth by considering the case of 10 Asian countries. The study used quantitative research design where the preliminary testing was conducted using descriptive statistics and unit root testing. The sample size comprised of 10 emerging Asian countries (India, China, Malaysia, Philippines, Pakistan, Thailand, Singapore, Bhutan, Vietnam, and Bangladesh) and the time-frame for the study was 1990 to 2018. The main techniques of analysis were Pedroni cointegration, dynamic panel least squares (DOLS) and Granger Causality. This study concluded that long-run equilibrium existed between financial development and economic growth. The research was limited to the case of Asian countries, therefore, in future, the evaluation of European countries can be conducted or African region can also be undertaken into consideration.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Ikram ◽  
Yichen Shen ◽  
Marcos Ferasso ◽  
Idiano D’Adamo

Purpose This study aims to explore the effects of the COVID-19 outbreak on exports of goods and services, logistics performance, environmental management system (ISO 14001) certification and quality management system (ISO 9001) certification in top affected Asian countries of India, Iran, Indonesia, Philippines, Bangladesh and Pakistan. Design/methodology/approach A novel grey relational analysis models’ approach is used to examine the inter-relationship between COVID-19 economic growth and environmental performance. Moreover, the authors applied a conservative (maximin) model to investigate which countries have the least intensifying affected among all of the top affected COVID-19 Asian countries based on the SS degree of grey relation values. The data used in this study was collected from multiple databases during 2020 for analysis. Findings Results indicate that the severity of COVID-19 shows a strong negative association and influence of COVID-19 on the exportation of goods and services, logistics performance, ISO 9001 and ISO 14001 certifications in all the six highly affected countries during a pandemic outbreak. Although the adverse effects of COVID-19 in exporting countries persisted until December 31, 2020, their magnitude decreased over time in Indonesia and Pakistan. During the COVID-19 outbreak, Pakistan showed comparatively better performance among the six top highly affected Asian countries due to its smart locked down strategy and prevents its economy from severe damages. While India and Iran export drastically go down due to a rapid increase in the number of COVID-19 cases and deaths. Research limitations/implications The research findings produce much-required policy suggestions for leaders, world agencies and governments to take corrective measures on an emergent basis to prevent the economies from more damages and improve their logistics, environmental and quality performance during the pandemic of COVID-19. Originality/value This study develops a framework and investigates the intensifying effects of COVID-19 effects on economic growth, logistics performance, environmental performance and quality production processes.


Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.


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