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This chapter introduces demographic variables in empirical regression to help find whether demographic changes have an impact on economic growth. There is evidence from estimated values in this chapter to suggest that there is no impact that demographic changes in Hong Kong is affecting the economic growth. The population growth has purely a transition impact where the fertility rate was low in early 2000 up to 2015 as the size of the dependency ratio increases. Besides testing demographic variables the government emphasises better education for all people of ages for prosperous growth but in fact has a negative response on educational investment on the growth of the economy. A well-educated country individual does not suggest a higher productivity in economy growth. An important implication is that there has been no single variable as yet that has seriously impacted the economy growth, but there will be changes in the coming years and has to be attended in result to avoid a diminishing economy.

This paper's objective is to provide improvement plans that take into account problems in the housing sector, as well as low fertility and demographic problems caused by aging, by suggesting long‐term policy directions considering all future possible changes in fertility and housing policies.

This research analyzes age specific fertility rates by socioeconomic index, composition of three scenarios about the total fertility rate, the forecast of the future population by the cohort component method, and the forecast of housing demand according to the Mankiw‐Weil (M‐W) model.

If the fertility rate increases through improvements in socioeconomic conditions, then we see that housing demand also increases. If the fertility rate level is higher than that of scenario 3, then a housing demand decrease comes later. However, even if the low fertility rate issue is addressed, the problem with the housing market due to the aging is expected to continue for the time being.

If the population decrease cohort is accumulated due to the continuously low fertility, then it will cause an increase in the reduction effect of housing demand. Considering housing spaces, the elderly require a relatively large amount of available space in Korea where the aged population is rapidly increasing. This increase in seniors could counterbalance the reduced demand for housing.

This is a long‐term‐oriented paper about housing demand and the changing trends in Korea, which is undergoing demographic changes due to low fertility and ongoing aging. We need to monitor fertility rates and the structure of population changes to achieve a stable housing market, and we should also recognize that these structural changes by age will have diverse ripple effects on housing demand.

In order to understand the impact of economy‐wide socio‐economic forces on fertility, examines economies which are homogeneous with respect to political, cultural and historical character, which also contain subsectors characterized by socioeconomic diversity. First looks at previous research on fertility and then uses Missouri as a representative example of such an economy.

This paper aims to examine certain factors that have contributed to the decline in fertility in the countries of the Gulf Cooperation Council (GCC) in recent years, taking the United Arab Emirates (UAE) as a case study.

Using data from the 2008 UAE Household Expenditure Survey, this paper analyzes the determinants of fertility using a Poisson fertility count model.

The results show that economic factors, in terms of the costs and benefits that families derive from children in the UAE, are not important determinants of fertility due to the large size of social insurance provided by the UAE Government. Moreover, labor market participation by either males or females does not play a critical role in determining fertility in the UAE. The two primary causes of decline in fertility are: late marriages or late first births; and higher levels of female education. Other contributors to drops in fertility are marriages between UAE national males and foreign females and increases in childbirth intervals. Conversely, the size of household residences and the number of domestic workers working in a households contribute positively to fertility.

Little attention has been paid in the literature to explain the fast drop in fertility in the GCC countries. This may be due to the limited availability of data for this region. This paper, to the authors’ knowledge, is the first to shed some light on the effects of many socioeconomic factors on fertility in the GCC.

The last reformation in Iran’s population policy was announced inside “General Population Policy” (GPP) in 2013. One of the main objectives of the GPP is controlling population aging. The aim was to designing and evaluating different scenarios for achieving this objective.

For this purpose, a system dynamics model was built from cohort age groups. The model simulated Iran’s population structure from 2000 to 2050. The system dynamics model was validated in 2000 till 2011 period (R² = 94%). Data were extracted from the United Nations population division repository and represent a reducing trend in the fertility rate of Iran. This situation was named the “base” scenario. The simulation results for this scenario showed that Iran will face aging such that between 2000 and 2050 the median age will increase from 25 to 43 years. Based on these results, the base scenario could not achieve the GPP objective. So three alternative scenarios were designated: stabilization, increasing and hyper increasing.

The median age and the aging index are descending only in the hyper increasing scenario which means controlling aging. Therefore, the hyper increasing scenario is the only way to realize the GPP’s objective. To realize the hyper increasing scenario, it is essential to consider the total dependency ratio which shows the level of pressure on the workforce. Reducing this pressure increases the propensity to have more children (fertility index) and this is essential for maintaining high fertility rate.

The value of the research rests on a precise simulation model to forecast the population structure and aging. The research will serve as a guide for Iranian policymaker and support strong recommendations to bring the GPP along with supporting policies such as childbearing and child care assistance.

The purpose of this paper is to obtain empirical evidence on the impacts of socio-economic and demographic factors on the fertility decisions taken by a common family in developing countries like Pakistan. Also, this study contravenes the conventional orthodoxy of childbirth decisions of a family by enlarging the canvas and conjectures the fundamental nexus amongst female’s education, fertility and contraceptive use.

The study is based on micro-level data, obtained from the Pakistan Demographic and Health Survey (2012-2013) which is the third survey carried out in Pakistan. Demographic and socio-economic profiles of 13,558 ever-married women, aged 15-49 years, were randomly selected from Gilgit Baltistan and the four provinces of Pakistan. Three dependent variables are used in empirical analysis i.e. current use of contraceptives, total fertility and cumulative fertility. In order to estimate the probability of contraceptive use maximum likelihood, Probit technique is employed with ordinary least squares on reduced form specifications of total fertility and cumulative fertility models.

The empirical results proved the hypotheses that educated females practice more family planning through modern contraceptives which leads to a decrease in total fertility rates. Some significant links among females’ education, contraceptive use and fertility define the quantity – quality trade-off and opportunity cost of time. Evidently, female education provides maturity and awareness of family size which is necessary to take crucial economic decisions.

The empirical evidence suggests that maximum efforts should be made toward women’s education. The current standard of education in Pakistan is not enough to overcome the long-standing problem of excessive child birth. This could be done with the help of public – private partnership as the measures taken by the government alone are insufficient. The government should initiate some adequate measures such as education and awareness about contraceptive usage at the secondary school level that could be a vivacious step to support fertility reduction.

The framework used in this study provides a broader intra-household income–expenditure approach. With a smaller family size, the household’s income would be shared among fewer individuals. It is highly probable that parents would be more attentive if they need to look after a few children. That is the best way to progress their children with limited resources.

From the socioeconomic perspectives, educated parents plan the ideal family size which allows them to spend more on their children’s upbringing.

This study captures the magnitude of fertility decisions with the relevance of the wife’s education because the present practice in Pakistan does not allow higher education for married women. This is why this study could be used as a benchmark for further study in the same area.

This research studies the influence and mechanism of rearing cost and endowment insurance on family fertility desire from the micro perspective.

Through the construction of overlapping generations (OLG) model and on the basis of this research purpose, the research hypothesis proposed by the theoretical model is tested by using the data of China household tracking survey (CFPS).

(1) Endowment insurance has an inhibitory effect on family fertility desire. The marginal effects of participating in old-age insurance on total fertility desire and boy fertility desire are – 3.2% and – 3.6% respectively. (2) The cost of rearing has a significant negative impact on family fertility desire. (3) There is regional heterogeneity in the impact of endowment insurance and rearing cost on fertility desire. (4) There is no significant difference in the impact of endowment insurance on fertility desire between urban and rural areas.

This research tries to fill the gap existing in the international literature by analyzing the micro mechanism of the influence degree of upbringing cost on fertility desire by introducing the rearing cost and fertility rate into the OLG, providing a micro basis for relevant quantitative calculation.