Flood disaster and GDP growth in Malaysia

Shaari, Mai Syaheera M.; Karim, Mohd Zaini Abd; Basri, Bakti Hasan

doi:10.21859/eulawrev-08023

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Several socio-economic studies on economic growth have been conducted in Malaysia by employing a similar method. Among others are those by Shaari, Karim, and Basri (2015); Shaari, Karim and Basri (2016) and also by Shaari, Karim and Basri (2017). However, previous studies focused more on the effect of flood disaster on GDP growth at the aggregate level, this paper differs from prior studies as it looks at the effect of financial assistance on GDP growth at both the long run and short run time periods.…”

Section: Methodsmentioning

confidence: 94%

The Development of Malaysia’s Economic Growth through Youth Entrepreneurship Support System

2020

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Global economic challenges have forced the majority of youth to become self-employent. As such, being an entrepreneur is one of its branches. However, to start entrepreneurship, these young entrepreneurs need to be assisted in some areas especially financial. Regarding to this matter, the significance of this study is to examine the development of Malaysia’s economic growth through the youth entrepreneurship support system (Financial Assistance) for the period of 2010 until 2019. In addition, this study also will look at both the long run and short run effect of Financial Assistance on economic growth. This study will employ the Autoregressive Distributed Lag (ARDL) bound testing approach for Cointegration and the Error Correction Model (ECM) for short-term relationship. All the variables will be test for the stationarity of the series at all level. Through this research, hopefully an effective model of Financial Assistance in Malaysia can be proposed in order to enhance the development of economic growth through youth entrepreneurship.

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Section: Methodsmentioning

confidence: 94%

The Development of Malaysia’s Economic Growth through Youth Entrepreneurship Support System

2020

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“…The serious and regular flooding caused by the changes of climate, the socio-economic disruption, populations affected, public outrages and limited funds are becoming increasingly serious problems. In developing countries, the economic effect and impact of natural disasters are greater [3]. Natural disasters could lead to significant levels of stress and other mental disorders (e.g.…”

Section: Introductionmentioning

confidence: 99%

Investigation ofFlood Monitoring & Detection System Using IoT Application

Zainal¹,

Sazali²

2023

EmAIT

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This research was conducted to investigate the performance of the Flood Monitoring & Detection System applying Internet of Thing (IoT) with solar system as a backup source. A flood is a catastrophe that happens unexpectedly and unpredictably. It is a disaster that often happens every year, especially once during the monsoon season. With the development of technology nowadays, it can help people’s that live in the flood risk areas daily lives become easier. Flood Monitoring and Detection technology with warning system is built to monitor and warn people living in areas a high risk for floods so that they are always prepared for floods before it happens. This project is applying the Internet of Thing (IoT) which is applying the wireless connection concept. Thesystem is completely controlled by one of the great Microcontroller technologies, namely the Arduino Mega, this microcontroller system can be designed according to a set program. This system requires some programming part for interfacing. Ultrasonic sensor is used in this to transfer the signal into the microcontroller board for the data output signal analysis. In current world, internet is the very most important thing nowadays, it also can be applied anytime and everywhere. Users can monitor the current situation of river water level on the application. In addition, this device also constructs as a back-up energy source with the presence of solar energy, which can be longer lasting and effective compared to conventional flood detection systems.

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