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Ass. Lect. Abd Aalla Mohamed Mahmoud Sarg :: Publications:

Title:
Mathematical Model For Projecting Local Populations And Its Role In Regional Planning With Application
Authors: A SARG; MOHAMMAD MAHMOUD
Year: 2015
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: 240
Publisher: ABDALLAH SARG
Local/International: International
Paper Link: Not Available
Full paper Abd Aalla Mohamed Mahmoud Sarg_phd .pdf
Supplementary materials Not Available
Abstract:

Nations and states are concerned about the economic, social, political, and environmental consequences of population growth. At the local level, planning for schools, hospitals, and other projects is strongly affected by expected population growth. Population projections are very useful tools for planning if constructed and interpreted properly. Population projections are used to predict future population change, to analyze the determinants of population change, to give the data users an indication of potential future scenarios and as a base for constructing other types of projections. The importance of the population projections, which are considered in the present study can be stated in the following points: 1. Highlight the concept of projection and regional planning. 2. Identify the best and most effective methods which can be used to calculate the projection components [fertility, mortality, and migration]. 3. Clarify the necessary data and rates required to make the local population projection. 4. Suggest a local population projection model to help planners and decision makers to take the right decision about regional planning policies on a scientific basis. 5. Apply the suggested mathematical model for the Qalyobia Governorate in the state of Egypt. 6. Discuss methods for projecting the main characteristics such as school enrollment and labor force. 7. Update the data at the local level. Much of the researches on population projections have focused on projections at the national level. Although these researches have been very valuable, conclusions based on studies of national projections are not always applicable to states and local areas because the following two main reasons: First, there are substantial differences in data availability and reliability between national and sub-national areas. Some data series are available only at the national level. Others are available with greater frequency at the national level than at state and local levels. Due to reporting, coverage, and sampling errors, data quality is likely to be better for nations than for sub-national areas. iii Second, migration-both international and local plays a greater role in population growth at the state and local levels than at the national level. Fertility and mortality are the major determinants of population growth in most countries, with international migration having a relatively small impact. Migration is the primary determinant of population change in many states and local areas and it is much more volatile over time than either fertility or mortality. This volatility makes migration more difficult to forecast accurately. Projections at the local level are very important for their unique characteristics, the relatively small amount of research that has been done at the local level, and for the decision making process. This requires to pay great attention to the problems of data availability and reliability and migration. The present study is concerned with the development of a mathematical model for projecting local populations. The model considered in the present study has an advantage over the traditional methods because it is not concerned with the projection of population only, but the considered model is devoted to make a detailed local population projection to each of the demographic components (which are fertility, mortality, and net migration) to clarify the importance of each component in changing the characteristics and region size to help the regional planners in making good plans in light of the results of each component. The suggested model is referred to as the complete component projection model. The present study considered many accuracy measures which can be used to show how well projections have performed over the projection horizon, also to show how well the suggested model fit the data observed during the base period. An application to the suggested model is implemented to Qalyobia Governorate where a separate projection for each component [mortality, net migration and fertility] is carried out to clarify the importance of each component in changing the characteristics and size of the Qalyobia Governorate. Also, to know the real population numbers of this Governorate without excess or negligence to help in effective regional planning. The local projection for Qalyobia Governorate is implemented through two stages, the 1st stage at year 2011 and the 2nd stage at year 2016. iv Projections can be used not only to analyze the determinants of population change, but also to give the data user an indication of potential future scenarios. The present study considered some extensions of the component model with respect to future changes, and other sectoral projections, which have great important uses of the model in the regional planning. Most data users, especially at the local level use projections as a guide for future events and regional planning. The effect of future changes in demographic components has an impact on governmental policies. The present study considered the future changes in fertility and mortality component by the synthetic projections. Also, this study contained related sectoral projections in school enrollment and labor force sectors in Qalyobia Governorate. The application of the present study can be stated in the following points: 1-The effect of the mortality component on Qalyobia distribution of male and female projected population by age at year 2016. 2- The effect of the migration component on Qalyobia distribution of male and female projected migrants by age at year 2016. 3- The effect of the fertility component on Qalyobia distribution of total male and female births by age of mother at year 2016. 4- All the net migration values of the Qalyobia Governorate are positive values, i.e., the Qalyobia Governorate has an internal net migration. This result support the results in Mustafa and EL-Rouby in 1992, and in Central Agency for Public Mobilization and Statistics in 2006 that, the Qalyobia Governorate is an attractive area for people in the state of Egypt. 5- Net migration is an important component in the population changes of the Qalyobia Governorate since the net migration rate of Qalyobia Governorate in 2006 is equal to 18.6%. 6- The total population of the Qalyobia Governorate for the target year 2016 is equal to 5478267. 7- As stated at the end of chapter three that, the measure of the model accuracy is equal to 0.33%, which is a good indicator that, the complete component projection model achieves a good accuracy. 8- The projection of school enrollment for the Qalyobia Governorate at the target year 2016 indicates the following: v - The male population students of primary schools is equal to 336,900 students. - The female population students of primary schools is equal to 318,979 students. - The total population students of primary schools is equal to 655,879 students. - Projected population number of students in primary schools is equal to 678,179. - The male population students of preparatory schools is equal to 149,641 students. - The female population students of preparatory schools is equal to 141,202 students. - The total population students of preparatory schools is equal to 290,843 students. - The projected population number of students in preparatory schools is equal to 280,372. - The required projected classrooms in primary schools are equal to 22600 if it is assumed that, the classroom density is 30 students in each classroom. - The required projected classrooms in preparatory school are equal to 9345 if it is assumed that, the classroom density is 30 students in each classroom. 9- The projected male population at year 2016 in the labor force is equal to 13378 hundred. 10-The projected female population at year 2016 in the labor force is equal to 4010 hundred.

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