Dynamics of environmental pollution, socio-economic factors and total fertility rate in MENA, ECOWAS and ASEAN regions

2021 ◽  
pp. 1-23
Author(s):  
Chigozie Nelson Nkalu
Keyword(s):  
Environmental Pollution ◽  
Total Fertility Rate ◽  
Fertility Rate ◽  
Economic Factors ◽  
Socio Economic Factors

scholarly journals Socio-Economic Factors Influencing on Total Fertility Rate in Iran: A Panel Data Analysis for the Period of 2002-2012

10.19082/2551 ◽  
2016 ◽  
Vol 8 (6) ◽  
pp. 2551-2556 ◽  
Author(s):  
Hasan Jafari ◽  
Ebrahim Jaafaripooyan ◽  
Abou Ali Vedadhir ◽  
Abbas Rahimi Foroushani ◽  
Bahman Ahadinejad ◽  
...  
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Total Fertility Rate ◽  
Panel Data Analysis ◽  
Fertility Rate ◽  
Economic Factors ◽  
Factors Influencing ◽  
Socio Economic Factors

scholarly journals Forecasting Fertility Based on Economic Factors

2019 ◽  
Vol 15 (1) ◽  
pp. 48-58
Author(s):  
A. Kashepov
Keyword(s):  
Total Fertility Rate ◽  
Demographic Transition ◽  
Pair Correlation ◽  
Fertility Rate ◽  
Economic Indicators ◽  
Economic Factors ◽  
Regression Equations ◽  
Socioeconomic Indicators ◽  
Demographic Situation ◽  
Demographic Policy

The Object of the Study: Demographic situation, population reproduction. fertility, fertility factors by group: demographic factors directly included in the number of benefits, subsidies and other measures of state demographic policy, economic factors that have a direct or indirect impact on the demographic situation in General, and the birth rate of the populationThe Subject of Study: fertility Forecasting based on selected groups of factors, using statistical methods, in particular regression equations.The Puroose of the Puroose of the Study is : to Identify the dominant influence of GDP, per capita income, the level of specific budget expenditures and other economic indicators on the main indicators of fertility.The Main Provisions of the Article: according to the calculations of the coefficients of pair correlation, the main indicators of fertility, and the key indicator TFR in particular,- depend not only on the passage of "demographic waves", and the level of costs of the national project "Demography", but also on GDP and other socioeconomic indicators. Traditional fertility projections are based on models that link age-specific fertility rates and the total fertility rate to the number of female populations that vary with the passage of "demographic waves". The ideology of traditional forecasting is the theory of "demographic transition". This article proposes to expand the field of forecasting methods due to a more confident connection of demographic indicators with economic ones. In particular, it is assumed that economic growth, and the resulting increase in specific budget expenditures on social, including demographic, policy, income growth and housing security of the population, can "equalize" the demographic wave, lowering its height and reducing its amplitude. Economic factors, if they are positive, can mitigate the decline in fertility and increase its growth. This addition to the generally accepted, but almost "separated" from the economy theories of "demographic transition", allow to adjust the forecasts of the total fertility rate (TFR). For this correction, the article proposes to use regression equations. This group of equations is suitable when retrospective statistical series of economic indicators for a sufficiently long period of time are available for analysis, and there are official (or generally accepted expert forecasts) for the future. This is the difference between the equations used in the article and more complex mathematical constructions, which offer a certain explanation of the situation, but do not have a statistical base for forecasting. In addition, the proposed equations are simple and effective for use by practitioners, because they do not require complex mathematical programs and can be easily implemented in the Excel processor.

scholarly journals Economic determinants of fertility forecasting in Russia

2018 ◽  
Vol 2 (4) ◽  
pp. 161-186
Author(s):  
Aleksey Kashepov
Keyword(s):  
Total Fertility Rate ◽  
Gross National Product ◽  
Fertility Rate ◽  
National Product ◽  
Mathematical Statistics ◽  
Economic Indicators ◽  
Economic Factors ◽  
Economic Determinants ◽  
Economic Level

The article presents the author’s concept of demographic forecasting, which argues that GDP, other macroeconomic and socio-economic (level of life) processes and indices do matter. The purpose of the article is to demonstrate the possibilities of publicly available (which are part of standard mathematic and statistical programs) methods of mathematical statistics to identify economic factors of population reproduction and fertility in particular. The article justifies the possibility of forecasting the total fertility rate (TFR) on the basis of macroeconomic forecasts of the dynamics of the gross national product (GDP) and other key economic indicators.

A New Look at the Asian Fertility Transition (Distinguishedl Lecture)

1996 ◽  
Vol 35 (4I) ◽  
pp. 385-398 ◽  
Author(s):  
John C. Caldwell
Keyword(s):  
Total Fertility Rate ◽  
Birth Rate ◽  
Fertility Transition ◽  
Fertility Rate ◽  
Asian Women ◽  
Population Replacement ◽  
Planning Meeting ◽  
Annual Birth Rate

The significance of the Asian fertility transition can hardly be overestimated. The relatively sanguine view of population growth expressed at the 1994 International Conference for Population and Development (ICPD) in Cairo was possible only because of the demographic events in Asia over the last 30 years. In 1965 Asian women were still bearing about six children. Even at current rates, today’s young women will give birth to half as many. This measure, namely the average number of live births over a reproductive lifetime, is called the total fertility rate. It has to be above 2— considerably above if mortality is still high—to achieve long-term population replacement. By 1995 East Asia, taken as a whole, exhibited a total fertility rate of 1.9. Elsewhere, Singapore was below long-term replacement, Thailand had just achieved it, and Sri Lanka was only a little above. The role of Asia in the global fertility transition is shown by estimates I made a few years ago for a World Bank Planning Meeting covering the first quarter of a century of the Asian transition [Caldwell (1993), p. 300]. Between 1965 and 1988 the world’s annual birth rate fell by 22 percent. In 1988 there would have been 40 million more births if there had been no decline from 1965 fertility levels. Of that total decline in the world’s births, almost 80 percent had been contributed by Asia, compared with only 10 percent by Latin America, nothing by Africa, and, unexpectedly, 10 percent by the high-income countries of the West. Indeed, 60 percent of the decline was produced by two countries, China and India, even though they constitute only 38 percent of the world’s population. They accounted, between them, for over threequarters of Asia’s fall in births.

DINAMIKA KELOMPOK TANI ANUGERAH MOLLO DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN

2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu
Keyword(s):  
Formal Education ◽  
Secondary Data ◽  
Nonparametric Test ◽  
Primary Data ◽  
Economic Factors ◽  
Dynamic Level ◽  
South Central ◽  
Group Members ◽  
Relationship Of ◽  
Socio Economic Factors

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.

Implication of Socio-economic Factors on Land Use and Forest Cover Changes in and Around Magamba Nature Reserve in Tanzania

2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Nature Reserve ◽  
Agricultural Land ◽  
Population Pressure ◽  
Economic Factors ◽  
Rural Settlements ◽  
Mountainous Regions ◽  
Use Of Resources ◽  
Socio Economic Factors

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.

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