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This paper establishes conceptual foundations for analyzing the economic dimensions of regional or global emerging and endemic infectious disease events, such as the case of Covid-19. The Covid-19 Global Economic Impact Simulator attempts to identify the Covid-19 transmission parameters and forecast its trajectories. The model introduces seven basic indicators - (i) the Covid-19 contagious spread intensity rate (S.I.), (ii) the treatment level for Covid-19 infected cases rate (T); (iii) the number of Covid-19 causalities rate (-C); (iv) the economic wear from the Covid-19 epidemic rate (-Π); (v) the Covid-19 contagious cases multiplier rate (M); (vi) the total economic leaking from the Covid-19 epidemic rate (-Ltotal); and (vii) the economic desgrowth from the Covid-19 epidemic rate (-δ2019-nCoV). Findings show that Covid-19 exhibits parallel spatial and temporal conditions with the related R.N.A. virus family but carries distinct infection signatures and magnitude of virus replication. Covid-19 ferocity can trigger a severe public health emergency in China with significant impacts on the domestic and world economies.

This research paper attempts to show visually how the COVID-19 quarantines can generate mas-sive unemployment, constant expansion of inflation, reduction of the purchasing power parity, and poverty expansion from a multidimensional perspective. This visualization is only possible by creating a new multivariate graphical modeling called “The Multidimensional Poverty Kaleidoscope Graph.” The multidimensional poverty kaleidoscope graph is not intended to use a forecasting model in any case. However, its application is not limited to the study of a particular group of coun-tries. It is not constrained by issues about the region or countries interested in applying the multidimensional poverty kaleidoscope graph. There are four primary phases in the implementation of the multidimensional poverty kaleidoscope graph. The first phase is the design of the input-output-table. The second phase is divided into two sections of analysis: the first section of analysis assumes that the COVID-19 quarantine time framework growth rate (Y = Independent variable) impacts directly on our four variables in analysis, such as the inflation growth rate (X1);the unemployment growth rate (X2);purchasing power parity growth rate (X3);the government budget deficit (X4). In the second section of the analysis, the last past four variables in analysis became our dependent variables and directly affected the poverty growth rate (Z). The third phase is the construction of the multidimensional poverty kaleidoscope graph. Finally, the multidimensional poverty kaleidoscope graph was applied to three countries, such as the U.S., Malaysia, and Guatemala. © 2021, University of Economics and Human Sciences in Warsaw. All rights reserved.

With the development of economic and technologies, the trend of annual Gross Domestic Product (GDP) and carbon dioxide (CO2) emission changes with time passes. The relationship between economic growth and carbon dioxide emissions is considered as one of the most important empirical relationships. In this study, we focus on the member of Shanghai Cooperation Organization, including China, Russia, India, and Pakistan and collect CO2 emission and annual GDP from 1969 to 2014. The statistical methods and tests are used to find the relationship between annual GDP and CO2 emission in these countries. Based on relationship between annual and CO2 emission, a novel multi-step prediction algorithm called Extreme Learning Machine with Artificial Bee Colony (ELM-ABC) is proposed for forecasting annual GDP based on CO2 emission and historical GDP features. According to the experimental results, it proved that the proposed model had a super forecasting ability in GDP prediction and it could predict ten-year future annual GDP for the corresponding countries. Moreover, the forecasting results showed that the annual GDP of China and Pakistan will continue to grow but growth will slow after 2025. The annual GDP in India will exhibit unstable growth. The trend of Russia will follow the pattern between 2010 and 2016.

The impact of post-COVID-19 on economic growth is obviously substantial, but measuring such impact to get a sense of the intensity of its effects on inflation and unemployment is subject to a great...

This paper proposes the national pandemics contingency plan for any country based on the application of the minimum food, water & medication storage for a massive pandemic quota (ψ-Quota). Consequently, the main objective of the ψ-Quota is to calculate the approximate amount of food, water, and medicines storage amount annually in case of a possible massive pandemic crisis. Finally, this paper is divided into three sections: (i) the minimum food, water, and medicine quota storage calculation in case of a massive pandemic;(ii) the food, water, and medicine storage quota for a massive pandemic;(iii) the geographical distribution and mapping of the emergency aid supplier’s modules in case of a massive pandemic for any country. Finally, the ψ-Quota was applied on the case of Malaysia. © 2021, Universiti Malaysia Sarawak. All rights reserved.

This article models the interconnection between the public transfer payment policy in Malaysia and the overall Malaysian economy using an inter-linkage coordinate space. This space is represented graphically, with the public transfer payment distribution in the centre and the number of periods plotted along rays (axes) that are drawn from the centre, each of which can have as many windows as required at the predetermined perimeter levels. Using this model, this article evaluates whether and how the implementation of public transfer payment policy in Malaysia can simultaneously affect the overall Malaysian economy through selected macroeconomic indicators. Finally, this article proposes the use of computer graphical animation when sufficient data are available to provide a more accurate measurement and visual representation of the economic ripple effect in the same graphical space.JEL: C00, E60, H53

This paper proposes a list of crucial factors that can be considered as a template for universal retirement plan. Malaysia is used as the base of our modeling. Nine crucial factors that are identified to have direct or indirect effect on the retirement plan among the three largest races in Malaysia, namely the Malay, Indians and Chinese are examined. The main objective of this research is to propose a new approach to evaluate the optimum age retirement for Malaysians in general. Hence, this new index is entitled "The Optimum Age Retirement Index (OAR-Index)". Based on the findings, the study proposed that Malaysia would be well served to increase the retirement age of the country's workforce and proposes a number of recommendations and policies to complement the retirement-age extension.

The significant damage of COVID-19 on the world economy forces us to reconsider a deep restructuration domestically and internationally in the next few years. This paper suggests a Post-COVID-19 reconstruction model is called “The National Domestic Economic Auto-Sustainability Model (NDEAS-Model).” The NDEAS-Model proposes four economic platforms: (i) the domestic education and technical training standardization platform (P1); (ii) the domestic productive infrastructure and transportation platform (P2); (iii) the selective strategic trade, investment, and tourism protection platform (P3); (iv) the environmental and natural resources management platform (P4). The main objective of NDEAS-Model is to avoid imported massive pandemic diseases, non-sustainable and weak food security platforms, and job diversion, respectively.

While Asia’s economic growth has been defined by technological advances, China stands out in its proactive role of the state and its dominance of global supply chains. As China strengthens its technological capability, this dominance is also translating into the country capturing more value added. This has implications for other participants of its supply chains in terms of intermediate inputs and value addition of supply chain activities. Revealed comparative advantage indicators reveal that the Association of Southeast Asian Nations’ (ASEAN) middle-income countries are no match for China’s technological prowess. ASEAN’s domestic contribution to value added has also not gained much over the years, while a rising share of Chinese inputs among intermediate goods imports embodied in ASEAN’s exports has seen China displacing other import sources. The growing importance of Chinese inputs suggests not only China’s ability to take over an increasing part of supply chains in this region but also raises the possibility that it is able to establish its own supply chains that are linked to Southeast Asia. Whether ASEAN countries are able to capture more value added will depend on their ability to advance their technological capabilities.

This paper attempts to evaluate the impact of massive infectious and contagious diseases and its final impact on the economic performance anywhere and anytime. We are considering to evaluate the case of Wuhan, China. We are taking in consideration the case of COVID-19 to be evaluated under a domestic, national, and international level impact. In this paper, we also propose a new simulator to evaluate the impact of massive infections and contagious diseases on the economic performance subsequently. This simulator is entitled "The Impact of Pandemics on the Economic Performance Simulator (IPEP-Simulator)" Hence, this simulator tries to show a macro and micro analysis with different possible scenarios simultaneously. Finally, the IPEP-Simulator was applied to the case of Wuhan-China respectively.

We present a new model on the impact of terrorism on the Deglobalization process. The channels are faster poverty expansion, largest flows of refugees, expansion of trade protectionism, and last but not least, the dramatic expansion of economic desgrowth. This new model is entitled “The Deglobalization Global Evaluation Model (DGE-Model)”. The objective of the DGE-Model is to offer policy-makers and researchers a new analytical tool to study the impact of terrorism on the Deglobalization process of Muslim countries. The applicability of the DGE-Model is not limited to a specific group of Muslim countries or regions, nor is it constrained by the development stage. In short, the DGE-Model is a simple, flexible and versatile tool to study the link between terrorism and Deglobalization. Finally, we apply the DGE-Model to three Muslim countries, namely Syria, Iraq, and Afghanistan. Our sample period is 1999 to 2018, a period which witnessed acceleration of Deglobalization and expansion of terrorism in those three countries.

In this article, we introduce the Joint-Venture Negotiation Box (JVN-Box), a new methodological approach to evaluate the negotiation between two players in a joint-venture partnership. The JVN-Box primarily calculates a suitable point of balance between two players and hence, generates harmony in a joint venture partnership. Since the division between players always depends on the opportunity cost and incentives in the process of negotiation, the study proposes the need for players to diligently engage in formal discussions to find the most suitable point of balance to consolidate a joint venture partnership. The JVN-Box helps to find that suitable balance point and hinges the success of any joint venture negotiation between shipping companies and port authorities on the effort of hard work by the weak player to step up and sacrifice welfare to step down from the stronger player.

This paper evaluates the crucial role of unmanned aerial vehicles –UAV’s- (or Drones) in the case of natural disasters response and humanitarian relief aid. The primary objective of this paper is to evaluate how unmanned aerial vehicles –UAV’s- (or Drones) in the present or near future can help survivors in the case of a tsunami, earthquake, flooding, and any natural disaster. Initially, we assume that in any natural disaster always exist the high possibility of damage to the infrastructure, transportation systems, telecommunications systems access, and basic services immediately. This research proposes three areas the uses of unmanned aerial vehicles –UAV’s- (or Drones) in the case of natural disasters response and humanitarian relief aid. These are (i) the aerial monitoring post-natural disaster damage evaluation, (ii) the natural disaster logistic and cargo delivery, (iii) the post-natural disaster aerial assessment.

We apply the terrorist attack vulnerability evaluation model (TAVE-Model) to evaluate the effect of terrorism on the economic performance of Turkey. We examine both the short run and long-run economic impact of terrorist attacks in Turkey. The TAVE-Model deploys a number of indicators to evaluate the economic impact. The indicators are economic desgrowth (- δ ), intensity of terrorist activities ( α i), terrorist attack losses (- π ), economic wear ( Π ), level of terrorist attack tension ( ζ ), level of terrorist attacks monitoring ( η ), and total economic leaking ( Ω t) under a terrorist attack. The basic underlying idea of TAVE-Model is that the economic impact of a terrorist attack depends on a country’s vulnerability to attacks from domestic and international terrorist groups. The application of a model to Turkey is highly topical in light of the spate of terrorist attacks the country suffered in recent years. The results of TAVE-Model confirm that economic leaking, economic desgrowth, and economic wear has increased between 1990 and 2016. The issue of terrorism in Turkey is multidimensional, and tackling it requires an effective social assistance program as well as a stronger and impartial justice system. These reforms will render poorer Turks less vulnerable and increase the opportunity cost of terrorism.

This research presents three new smart hydrones for surveillance, rescue, security, cleaning, searching, and logistic operations in the case of floods or water cleaning missions. We present four new models of smart hydrones, i.e., the MAR21, MAR25, MAR27, and MAR30 smart hydrones. Initially, the MAR21 smart hydrone has a large structure to facilitate the logistic for flood operations. At the same time, the MAR25 smart hydrone can perform deep cleaning of any area affected by pollution or flood damage. Additionally, the MAR27 and MAR30 smart hydrones offer surveillance, searching, and security services efficiently. According to this research, these four smart hydrones can offer to the private sector, government, and humanitarian agencies an alternative maritime rescue and transportation system to support any emergency. The construction of MAR21, MAR25, MAR27, and MAR30 smart hydrones is based on basic materials such as PVC pipes with PVC glue, high reception radio control systems, a modern GPS system, high reception antenna and radar systems, HD GoPro cameras (live), powerful LiPo batteries, high resistance electronic speed control systems, and powerful electric motors to support large operations. The design of the structure of the MAR21, MAR25, MAR27, and MAR30 smart hydrones has different and special characteristics that can be adapted to any weather condition, temperature levels, and levels of water. In fact, the production cost of MAR21, MAR25, MAR27, and MAR30 smart hydrones is extremely low, and they are easily produced in developing countries according to this research.

This paper will evaluate how fragile our economy is in the case of a global pandemic such as COVID-19. This research debates how COVID-19 is the fire test to assess the strengthens and weaknesses of any economy. We remark that each economy shows how much can resist a global pandemic in the short and long run directly depends on the interaction of players and economic sectors simultaneously. On the other hand, this research attempts to introduce a new economic analytical tool entitled "The Economic Structures Endurance Levels under COVID-19 Modeling (TESELUCOVID-19 Modeling)." This new modeling involves how COVID-19 can generate eminent damage to different economic players and economic structures on any economy. Meanwhile, COVID-19 is the perfect evaluator to see how strong or weak our economy is in the actual state. Finally, the TESELUCOVID-19 was applied to U.S., Europe, and China.

This chapter introduces a new concept of unmanned aerial vehicles called smart flying platforms (SFPs). The main objective of this chapter is to evaluate how SFPs in the present and the near future can play a crucial role to help in the evaluation and relief aid in the case of a national emergency, such as terrorist attacks or epidemics. Basically, we need to assume that any national emergency can always cause severe immediate damage to people's mobility, infrastructure, transportation systems, telecommunications systems access, and basic public services. We propose three types of missions for the SFPs in the evaluation and relief aid in the case of a national emergency: (i) the preliminary aerial monitoring evaluation; (ii) the logistics and cargo delivery; (iii) the postaerial evaluation.

The Googlekonomia is an alternative economic research technique that focuses on searching the best and easy access to a large number of economic database and documents from different sources on the internet. The main objective of Googlekonomia is the technical evaluation of trustworthy economic database and documents from different websites and search engines. Subsequently, the Googlekonomia is able to monitoring, evaluating, and classifying a large number of economic database and documents to study and solve possible economic problems. Finally, the Googlekonomia evaluates a large number of possible economic database and documents access in the internet sources and search engines based on the uses of artificial intelligence and a real-time multi-dimensional graphical modeling approach together.