Population Growth and Transitional Dynamics of Egypt Theoretical Analysis &amp; Time Series Analysis from 1981 To 2007

Mohamed, Ghada Gomaa A.; Schachler, Morrison Handley

doi:10.18488/journal.1/2017.7.2/1.2.110.118

Cited by 2 publications

(4 citation statements)

References 3 publications

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“…Thus, these scholars understand that the evolution of population, technology and utilization of resources as well as government policymaking and social institutions can be considered as jointly endogenous outcomes resulting from the decisions of agents in an economy. In addition, the postulates of the endogenous growth theory in Mohamed and Schachler (2016) are also reflected within our findings. Furthermore, close to our findings is the multi-trajectory model developed by Read and LeBlanc (2003).…”

Section: Discussionsupporting

confidence: 79%

“…Population growth results as a function of birth, death, and immigration and emigration rates and is caused by both endogenous and exogenous forces (Mohamed & Schachler, 2016). The endogenous impacts mostly affect birth rates and death rates, which are affected through the age groups and per capita income of the given population.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Exogenous variables that may affect population growth within the concerned population might be medical factors, social security models, cultural and local development, as well as tax and stimulants or sanctions for child-bearing. Thus, according to the underlying exogenous growth theory, changes in population growth rates do not have a long run impact on the economic growth of a country but only have an effect on the transitional dynamics, while the primary endogenous growth theory claims that changes in population growth rates determine both the transitional dynamics and the long-lasting economic growth of the country (Mohamed & Schachler, 2016). Prskawetz and Feichtinge (1995) suggest that there is a dependence of the population growth rate on the development phase and in turn that development is affected by past population growth rates.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Wavelet Analysis of the Population Growth in a Depopulation Context Within Two Balkans Countries

Miladinov¹

2023

JRSSH

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Serbia and Bulgaria have been selected in order to demonstrate how the principles of wavelet engines are applied to real data for the population growth rate (POPG). The annual time series data are retrieved from the UN database covering the period from 1990 to 2021. The major part of relevant wavelet coefficients (those coefficients exceeding threshold bounds) are concentrated in the first few scales. It was observed that the more significant ‘‘wave’’ behavior over wavelet coefficients and scales for both countries was revealed with MODWT transformation in contrast to the discrete wavelet transform (DWT). The main use of the Multi-Resolution Analysis (MRA) was the separation of the ‘‘signal’’ of the original POPG series from its noise, at a specific decomposition level. In both countries persistent behavior in the POPG series was found. A proximate examination of the wavelet threshold noise series reveals moderate differences between the countries. The large outlying observation in 2020 is accurately identified for the POPG series of both countries. There is no doubt that the theoretical background presented in this study might be relevant for each of the countries within this study observing in one or the other way.

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Section: Discussionsupporting

confidence: 79%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

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Wavelet Analysis of the Population Growth in a Depopulation Context Within Two Balkans Countries

Miladinov¹

2023

JRSSH

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“…Dalia M. Ibrahiem analyzed the causal relationship between road energy consumption, economic growth, urbanization and population growth in Egypt from 1980 to 2011 through Johansen Co-Integration Method [41]. Ghada Gomaa A. Mohamed analyzed the dynamic relationship between Egyptian population growth and economic development from 1981 to 2007 and suggested taking different measures to achieve resource balance rather than to suppress the population growth [42]. Mohamed R. Ibrahim analyzed the selection of the place of residence of Egyptian immigrants and its influencing factors based on the example of Alexandria [43].…”

Section: Introductionmentioning

confidence: 99%

Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”

Zhang

Zhao

2021

Sustainability

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Based on the provinces as the spatial nodes of population migration, a “Source-Flow-Sink” analysis framework of population migration flow in Egypt was established by “Source-Sink” Theory and Flow Field Theory to study the migration population in Egypt. It reveals the spatial pattern of the migration population in Egypt and its flow field characteristics and provides theoretical basis for the formulation of population development policies and regional spatial governance planning. The results show that: (1) there are significant spatial differences in the size and rate of migration in Egypt. In 2017, the migration population in Egypt exceeded 2.2 million in total, with a migration rate of 2.33%, and the extreme multiple reached 80 and 12. (2) According to the spatial pattern of geographical distribution, the Source System is divided into five types: axis type, layer type, fan type, oblique symmetry type, and scattered jump type. There are only three types in Sink System, namely wide area coverage type, local development type, and scattered jump type. Source Places lie in the middle, Sink Places are symmetrical from east to west, and Exchange Places are concentrated along the Mediterranean coast in the north of Cairo on the whole, with the initial formation of a “core-periphery” spatial pattern. (3) The interprovincial population migration flow in Egypt is dominated by neighborhood penetration and polarization of high-rank nodes (capitals or regional economic centers), giving rise to 7 modes of central system spatial structures and 3 modes of pole-core interaction. The central system of flow fields with clear priorities and the streamline channel network with layered trunks and branches basically take shape, overall characterized by stepped runoff from east to west, and local convection from south to north.

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Population Growth and Transitional Dynamics of Egypt Theoretical Analysis & Time Series Analysis from 1981 To 2007

Cited by 2 publications

References 3 publications

Wavelet Analysis of the Population Growth in a Depopulation Context Within Two Balkans Countries

Wavelet Analysis of the Population Growth in a Depopulation Context Within Two Balkans Countries

Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”

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