scholarly journals Demographic Transition, Human Capital And Growth

Author(s):  
Luis Currais

This paper firstly deals with the evolution of the literature on fertility and mortality growth rates and secondly discusses the extent to which both fertility and mortality affect the population growth rate as an endogenous variable. We develop an economic growth model using an infinite horizon setup in which economic development and health status influence the population growth rate. Mortality depends on health expenditure and fertility is endogenously determined. Each generation of family is linked altruistically and adults within each household take into account the welfare and resources of their actual and future descendants. The current generation maximizes utility and incorporates a budget constraint over an infinite horizon. Their decisions determine not also the evolution of the population growth rate but even the evolution of the per capita income.

2014 ◽  
Vol 19 (8) ◽  
pp. 1647-1658 ◽  
Author(s):  
Hiroaki Sasaki

This paper builds a small-open-economy nonscale-growth model with negative population growth and investigates the relationship between trade patterns and per capita consumption growth. Under free trade, if the population growth rate is negative and its absolute value is small, the home country becomes an agricultural country. Then the long-run growth rate of per capita consumption is positive and depends on the world population growth rate. On the other hand, if the population growth rate is negative and its absolute value is large, the home country becomes a manufacturing country. Then the long-run growth rate of per capita consumption is positive and depends on both the home country and the world population growth rates. Moreover, the home country is better off under free trade than under autarky in terms of per capita consumption growth irrespective of whether the population growth is positive or negative.


2019 ◽  
Vol 20 (4) ◽  
pp. 1051-1068 ◽  
Author(s):  
Sushant Kumar ◽  
Vishlavath Giridhar ◽  
Pradip Sadarangani

The study investigates the impact of culture on environmental performance across 78 countries. The article explores the possible relationship with two datasets of international indices: (a) the six dimensional index of national culture proposed by Hofstede and (b) the environmental performance index (EPI) published by Yale Center for Environmental Law and Policy. It is widely established that population and economic development of a country play significant role in the improvement of environmental performance. In our study, we examine the impact of population growth rate and per-capita gross domestic product (GDP) on environmental performance using structure equation modelling. The results show that environmental performance is significantly influenced by the culture of the country. Per-capita GDP and population growth rate have a positive and negative relationships on the environmental performance. By measuring the cultural dimensions and their impact on global environmental performance, countries could identify the favouring cultural dimensions and design appropriate strategy to optimize the environmental performance. The article proposes the practical implication of results and strategies to improve environmental performance. The study is among the first in studying the cultural dynamics on environment and identify its favourable and adverse relationships for an optimum strategy.


Author(s):  
C. Y. Cyrus Chu

Demographic transition refers to a shift in reproductive behavior from a state of high birth and death rates to a state of low birth and death rates. This transition takes place because of advances in agricultural technology and medical science or improvement in hygiene environment, all of which result in corresponding declines in the mortality rate. In this first phase of the demographic transition, population growth rises because the decline in mortality rate has not been coupled with any significant change in parents’ fertility decisions. Then, in the second phase of the transition, parents begin to reduce their fertility as they realize that their ideal number of children can be more easily achieved with fewer births. The widespread use of contraceptive techniques facilitates parents’ attempts to reduce fertility, which in turn causes a decline in the population growth rate. Eventually, the population growth rate converges to a new level, which may be higher or lower than in the pretransitional stage. To facilitate comparison, we can use figure 11.1 to characterize the time and process of the transition. In figure 11.1, Tα marks the apparent starting point of a continuous decline in mortality. Tβ, which normally occurs later than Tα, refers to the time at which the fertility rate begins to decline. Tγ, is the point of lasting return, with an average rate of natural increase equal to or less than that of the period preceding the date of Tα. The convention is to define D = Tγ - Tα as the duration of the transition period. Chesnais (1992) separated the observations of world demographic transition into several types. The first type includes developed countries in Europe and Japan; the second type consists of countries with immigrant European populations, such as the United States, Australia, and Argentina; late-developing countries, such as India. South Korea, and Jamaica, belong to the third type. For countries of the first type, the mortality decline process is closely related to the development of medical technology, which was gradual and spread out over time; hence, the demographic transition is also long. Late-developing countries and those with large immigrant populations were able to adopt the already-developed medical technology from the advanced countries at one time.


2019 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Ana Rahmawati Wibowo ◽  
Rifki Khoirudin

One of the indicators socio-economic the success of development is a decrease in the number of poor people. Central Java is the province with the second largest number of poor people after East Java Province. This study aims to determine the effect of population growth rate, GDP per capita life expectancy (AHH), mean years of schooling (RLS) and purchasing power parity simultaneously and partially on the number of poor people in Central Java from 2008-2017. This study uses secondary data by using program Stata 14, the analysis technique used is multiple linear regression panel data. The results of the study showed that the population growth rate, GDP per capita, life expectancy (AHH), mean years of schooling (RLS) and purchasing power parity simultaneously have a significant effect on the number of poor people. Partially, population growth rate, life expectancy, and means years of schooling have a negative and significant influence on the number of poor people. While the GDP per capita and purchasing power parity do not have a significant effect on the number of poor people in Central Java. Various government policies and programs should continue to be rolled out to isolated areas so that increased income can be balanced with equitable development.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Helena Bestová ◽  
Jules Segrestin ◽  
Klaus von Schwartzenberg ◽  
Pavel Škaloud ◽  
Thomas Lenormand ◽  
...  

AbstractThe Metabolic Scaling Theory (MST), hypothesizes limitations of resource-transport networks in organisms and predicts their optimization into fractal-like structures. As a result, the relationship between population growth rate and body size should follow a cross-species universal quarter-power scaling. However, the universality of metabolic scaling has been challenged, particularly across transitions from bacteria to protists to multicellulars. The population growth rate of unicellulars should be constrained by external diffusion, ruling nutrient uptake, and internal diffusion, operating nutrient distribution. Both constraints intensify with increasing size possibly leading to shifting in the scaling exponent. We focused on unicellular algae Micrasterias. Large size and fractal-like morphology make this species a transitional group between unicellular and multicellular organisms in the evolution of allometry. We tested MST predictions using measurements of growth rate, size, and morphology-related traits. We showed that growth scaling of Micrasterias follows MST predictions, reflecting constraints by internal diffusion transport. Cell fractality and density decrease led to a proportional increase in surface area with body mass relaxing external constraints. Complex allometric optimization enables to maintain quarter-power scaling of population growth rate even with a large unicellular plan. Overall, our findings support fractality as a key factor in the evolution of biological scaling.


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