TECHNOLOGICAL PROGRESS AND POPULATION GROWTH: DO WE HAVE TOO FEW CHILDREN?

Do we have too few children? We intend to address this question. In developed countries, the fertility rate has declined since WWII. This may cause a slowdown in the growth of GDP in developed countries. However, important factors for the well‐being of individuals are per capita variables, like per capita growth and per capita consumption. In turn, the rate of technological progress determines the growth rates of per capita variables. If the population size is increasing, the labour inputs for R&D activity increase, and thus speed up technological progress. As individuals do not take account of this positive effect when deciding on the number of their own children, the number of children may become smaller than the socially optimal number of children. However, an increase in the number of children reduces the assets any one child owns: that is, there is a capital dilution effect. This works in the opposite direction. We examine this issue using an endogenous growth model where the head of a dynastic family decides the number of children.     

Economic-demographic interactions and the impact of investments in population control

The interaction between economic and demographic factors in the Philippines was examined, analyzing the effects of investment in fertility control on the birthrate, population size, and such economic variables as gross national product (GNP), wage rate, and family income. A family planning model that was constructed and is used to project population program cost and births prevented is grafted to and simulated with a larger economic/demographic model. The simulation results are anayzed. The economic demographic model to which the family planning subsystem was grafted is a modified version of the model constructed by Encarnacion et al. (1974). It is basically a neoclassical model, a closed economy in which the real wage rate is determined by the intersection of the demand and supply of labor. The demand for labor is derived from a Cobb-Douglas production function on the assumption that labor is paid the value of its margin product, and the labor supply is determined by age and sex specific labor force participation rates and population. Capital accumulation is influenced by population size through its effect on government and private consumption expe nditures. Fertility rate is determined by duration of marriage and the level and distribution of family incomes. The model was used to develop projections from 1970 through 2000. Results show that the effects on per capital income and real wage rate seem significant, yet family income appears largely unaffected and the effect on the traditional investment to output ratio (I/Y) seems minimal. One of the outcomes of the projection without family planning is that, if the economy were to depend solely on its own savings, the average annual rate of growth of gross national product (GNP) would be only about 4.32%, which is less than the historical growth rate of 6% and the present government longterm target of 8%. The result suggests that foreign investments and loans would have to play an increasingly important role in the economic growth of the Philippines unless the gross domestic investment of GNP ratio is increased substantially. Aggregate output is reduced due to a relatively smaller labor force. Thus, it is suggested that if population control programs are accompanied by an increase in the labor participation rate, particularly of women, the payoffs from family planning may be larger. Closer examination of the nature of the payoffs from the family planning program would reveal that they basically stem from the decrease in the number of persons sharing in national output and not from increased production and saving. The observation suggests that population control does not necessarily lead to more rapid economic growth defined as sustained increase in total output.     

Public investment,taxation, and long-run output in economies with multi-level governments

This paper examines the dynamic effects of taxation and investment on the steady state output level of an economy. A simple neoclassical growth model with different tiers of government is developed. The initial focus is on governments that aim to maximise their citizens' welfare and economic performance by providing consumption goods for private consumption and public capital for private production. It is shown that a long-run per capita output maximising tax rate can be derived and that there also exists an optimal degree of fiscal decentralisation. The analysis then extends to the case where governments attempt instead to maximise their own tax revenue to fund expenditures which do not contribute to the utility of their citizens. Three different cases of taxation arrangement are considered: tax competition, tax sharing, and tax coordination. The modeling shows that intensifying tax competition will lead to an increase in the aggregate tax rate as compared to the cases of sharing and coordination amongst governments. These tax rates are both higher than the long-run per capita output maximising rate that was implied under the welfare maximising government scenario.     

Export expansion and economic growth: Evidence from Chinese Provinces

This paper examines the effect of exports on economic growth based on the data of 30 Chinese provinces from 1978 to 1995. A theoretical model is based on the neoclassical production function, in which exports can affect output growth. It was found that the growth rate of exports and the growth rate of per capita output are positively related; i.e. provinces with faster growth of exports grew faster than the provinces with slower export growth. It was also found that investment in state enterprises was insignificantly related to output growth, while investment in private enterprises was positively related to growth.     

On the determination of the US aggregate health care expenditure

Per capita real health care expenditure is examined against three major groups of explanatory variables: economic, demographic, and health stock, and it is found that the three groups of variables have an impact on real health care spending. Other subcategories, such as real private, and government health care, pharmaceutical, dental, home nursing, ambulatory, personal medical consumption, and in-patient expenditures have also been examined, and have been found to be affected by the explanatory variables. For several subcomponents there is evidence of supplier inducement. Of the demographic group of variables, the ageing population had an impact only on the per capita real overall, and private health care outlay, and pharmaceutical spending. Also, cointegrating relationships were found and consistent estimators of the elasticities found.     

Country-level Determinants of Intra-industry Trade （liT） between China and Sri Lanka

This study is based on country level determinants of liT between China and Sri Lanka. Multiple regression analysis was used to analyze the data in this study. Determinants of IIT from Sri Lanka to China do not depend upon economic growth rate, per capita income and size of GDP. However, variables like index of openness, size of the economy, per capita income, size of GDP, factor endowment, foreign direct investments have positive impact on IIT from Sri Lanka to China. Economic growth rate, index of openness, size of the economy, factor endowment, foreign direct investments were found to be positively related with intensity of IIT from China to Sri Lanka.     

An econometric analysis of the effects of population change on economic growth: a study of Taiwan

This study used an econometric model, estimated from time series data, to evaluate the effects of demographic factors on the T aiwanese economy. The simulation results suggest that, in the short run, a stationary population produces significantly higher income per capita than rapid population growth; in the long run, however, rapid population growth produces a slightly higher income per capita. Under assumptions of very low fertility trends, the population size, equivalent adult consumers, and labor force can be expected to grow by no more than 50% in a century, whereas under the very high fertility trend assumptions, they would more than double. The reason that lower fertility populations produce a smaller gross domestic product per capita in the long run than the normal fertility population is that the negative effects of a slower growing labor force dominate the positive effects of a faster growing capital formation. In terms of the present values of annual income per capita, the slow growing population shows considerably better economic performance. Given the immediate economic advantages of lower fertility, it is important for developing countries with high birth rates to reduce fertility in order to produce higher per capita income effects and break out of poverty. It is considered of little importance that the slow growing populations eventually produce slightly smaller per capita.     

Land reforms and population growth

One of the greatest puzzles in demographic history is why in the rich and urbanized England, fertility declined much later than in the poor and rural France. We consider the effects of a land reform on demographic growth by a family-optimization model where relative per capita wealth generates social status and welfare. We show that tenant farming is the major obstacle to escaping the Malthusian trap with high fertility and low productivity. A land reform provides peasants with higher returns for their investments, inducing them to increase their productivity and status rather than their family size. Consequently, the population growth rate slows down, but the productivity of land increases.     

The stork, the plow, rural social structure and tropical deforestation in poor countries?

This study is an exploration of the relationships between income, demographic pressure, technological change in agriculture, and the structure of political economies in light of cross-country differences in deforestation. The study focuses on small farmers and shifting cultivation. The analysis is based on a model developed by Larson (1994) that accounts for rural poverty, rootlessness, and distribution of landholdings. Regression equations model the average annual rate of deforestation, the relative area under forests, and a recursive model that includes both the deforestation rate and the forested area. Deforestation was reasonably well explained by a dummy variable for Asia, a rank order variable of the amount of forested area in 1980, the gross domestic product per capita in 1990, the average annual population growth rate during 1981-90, and the percentage increase in value added to agriculture during 1981-90 in 1990 dollars. Findings indicate that a 10% increase in the population growth rate increased the rate of deforestation by 10.6%. A 10% increase in income per capita increased deforestation by 49.5%. The influence of income on deforestation followed Kuznet's U-shaped curve. The turning point for reduced deforestation was income of $3500 per capita. Only Central and South America are near this income level. An increase in 1 agricultural worker per household increased deforestation by 50%. A 10% increase in smallholders' share of agricultural land reduced deforestation by 3.4%. Countries with high rural rootlessness had 23.6% less relative area under forests, suggesting that rural rootlessness rather than poverty per se leads to deforestation. The recursive model shows that demographic pressures led to deforestation and were mediated by technological change. Political economy theories of deforestation received strong empirical support.     

THE IMPACT OF TERRORISM AND CONFLICTS ON GROWTH IN ASIA

This paper quantifies the impact of terrorism and conflicts on income per capita growth in Asia for 1970–2004. Our panel estimations show that transnational terrorist attacks had a significant growth-limiting effect. An additional terrorist incident per million persons reduces gross domestic product per capita growth by about 1.5%. In populous countries, many additional attacks are needed to achieve such a large impact. Transnational terrorism reduces growth by crowding-in government expenditures. Unlike developing countries, developed countries are able to absorb terrorism without displaying adverse economic consequences. An internal conflict has the greatest growth concern, more than twice that of transnational terrorism. Conflict variables are associated with smaller investment shares and increased government spending, with the crowding-in of government spending being the dominant influence.     

The Impact of Power Equality,Income, and the Environment on Human Health: Some Inter‐Country Comparisons

Economic studies on environmental degradation generally have a narrow focus on per capita income as an explanatory variable, and often fail to distinguish among the various types of environmental quality or damage. This paper addresses both problems by examining the effect of relative equality in the distribution of power on environmental outcomes, and making a clear distinction between health‐related environmental outcomes and so‐called ‘environmental amenities,’ only the latter of which should correlate strongly with income. This paper introduces a national index of power equality that is derived from related socioeconomic variables, and studies its effects on individual country achievement in addressing environmental quality and population health. This model is applied to a data set of 180 countries, as well as to subgroups of the entire country set. Employing disability‐adjusted life expectancy and the population child mortality rate as two health proxies, this paper finds that power equality in most cases positively influences population health, and that power equality is in every case no worse and in some cases better than per capita income at explaining population health.     

An empirical analysis of the relationship between economic development and population growth in China

China has experienced a dramatic demographic transition since the latter half of the twentieth century, and thus, assessing the global economic implications is an important issue. This article uses time-series data on China to estimate the determinants of gross domestic product (GDP) per capita. According to the results of the presented co-integration analysis, population has a significantly negative impact on GDP per capita, while savings rate, total factor productivity and degree of industrialization have significantly positive impacts on GDP per capita. These results suggest that the share of the working-age population relative to the total population does not have a strong influence on GDP per capita. Therefore, the contribution of the working-age population to economic growth might not be as large as previously assumed. It is also possible that an increase in savings, remarkable industrialization and rapid technological progress have all stimulated economic growth in China greatly.     

Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities

Ascertaining the influencing factors of carbon dioxide emissions in Chinese cities is an important issue for policy-makers. This paper investigates the effect of several determinants on carbon emissions per capita in Chinese cities. Non-normally distributed and heterogeneous features of carbon emissions per capita in Chinese cities are considerably important. The empirical results demonstrate that GDP per capita has an increasingly positive impact on carbon emissions per capita due to the growth in household consumption. Urbanization has a slightly decreasing positive effect on carbon emissions per capita with a quantile increase resulting from continuous highway construction. Industrialization has a decreasing positive effect with carbon emission per capita quantile increases because of increasing energy efficiency and lower costs related to carbon reductions. The population has a decreasing negative effect on carbon emissions because of people’s increasing demand for environmental safety. The distributions of emissions per capita conditional on the 10th and 90th quantiles of independent variables also vary considerably. Specific policy implications are provided based on these results.     

Dynamics of endogenous growth

Summary We present an overlapping generations model of endogenous fertility and growth. The cost of child rearing and the effect of population size on total factor productivity determine the dynamics of competitive equilibrium path of our model. The non-linear dynamics of the model generates a plethora of outcomes (depending on the functional forms, parameters and initial conditions) that include not only the neo-classical steady state with exponential growth of population with constant per capita income and consumption, but also growth paths which do not converge to a steady state and are even chaotic. Exponential, and even super exponential, growth of per capita output are possible in some cases.We would like to thank Mukul Majumdar, Kazuo Nishimura and an anonymous referee for many comments.     

The Galor–Weil model revisited: A quantitative exercise

The long-run growth model of Galor and Weil [Galor, O., Weil, D., 2000. Population, technology, and growth: From Malthusian stagnation to the demographic transition and beyond. American Economic Review 90, 806–829] is examined quantitatively. We first give parametric forms to some functions which were only given on general form in the original article. We then choose numerical parameter values in line with calibrations of related long-run growth models, and with data. Finally, we simulate the model. We find, inter alia, that the time paths for population, and other variables, display oscillatory behavior: they move in endogenous cycles. As the economy transits from Malthusian stagnation to modern growth these oscillations die out. This is consistent with population growth rates fluctuating considerably in historical data, but having stabilized in modern economies. We also show that these cycles are not an artifact of the two-period life setting: allowing adults to live on after the second period of life with some probability does not make the oscillations go away. Rather, the cycles are driven by fertility being proportional to per capita income minus the parental subsistence requirement. When population is large, and per capita incomes close to subsistence, fertility is therefore sensitive to changes in population levels.     

The import of hospital rate setting programs on hospital and health care expenditures, 1975–85

To reduce hospital expenditures, many jurisdictions now regulate hospital rates. Prior theoretical work has demonstrated, however, that the effect of rate regulation on total expenditures is a priori unclear. Empirical research has found that hospital rate setting programs have reduced expenditures per diem and per admission, but not necessarily hospital expenditures or total health care expenditure per capita. This study extends this empirical research. It employs pooled cross section-time series data on state level expenditure, regulatory, and demographic variables obrserved annually for 1975–85. The analysis provides little evidence that hospital rate setting programs have reduced hospital expenditures. Some rate setting programs actually are positively and significantly related to hospital expenditures. Overall, this study does not suggest that regulatory programs will reduce hospital expenditures.     

The driving forces of the level and the growth rate of real per capita income in Indonesia

We investigate the driving forces behind the level and the growth rate in real per capita Gross Domestic Product (GDP) in Indonesia. The ultimate reasons and the proximate causes underlying Indonesia's economic growth since the mid-1960s are still unclear. In the literature there have been at least three ways of investigating the driving forces of economic growth in Indonesia, namely: growth accounting system, regression and causality. The difference and improvement in this article is that we employed a two-step bounds testing approach to cointegration, which has not been done before; it uses the endogenous growth model to consider 12 policy variables and two external factors that potentially affect per capita income, this number is more than that has been done before. The empirical results that we obtained using this two-step bounds testing approach help us draw policy implications that if or when implemented would be expected to increase the growth of real per capita income, as well as the welfare of the people of Indonesia. Economic growth in Indonesia is largely driven by government policy, so the ability to increase Indonesia's economic growth rate, in the long run, will largely depend on the implementation of appropriate government policies.     

Demographic change and economic growth: Theory and evidence from China

The paper tests the impact of demographic change on China's economic growth by using 1983–2008 provincial panel data. The deducted result of the theoretical model shows that the share of working-age population is positively correlated with economic growth, whereas birth rate has an adverse impact. Empirical results substantiate the finding. Due to the decrease of birth rate and the increase of the share of the working-age population, China's average annual per capita GDP growth rate increased 1.19 and 0.73 percentage points during the sample period. The contribution of these two demographic changes contributed to 19.5% of the economic growth together.     

Long-run growth and government consumption

This paper tests the null hypothesis implied by exogenous growth that the share of government consumption in output affects the level of output but not its growth rate against the alternative hypothesis implied by endogenous growth that the growth rate is also affected. The results provide evidence that cross-country differences in income per capita result from differences in their public policies, but no evidence that differences in trend growth rates result.     

Productivity and per capita GDP growth: The role of the forgotten factors

Average hourly productivity has often been used to draw conclusions on long run per capita GDP growth, based on the assumption of full utilization of labor resources. In this paper, we argue that a failure to recognize the potential significant wedges among the two variables - even in the long run - can be misleading. By applying both time series and panel cointegration techniques on data on 19 OECD countries, we fail to reject the hypothesis of the absence of a long run common stochastic trend among the two variables in the period 1980-2005. Furthermore, we apply a simple decomposition of GDP growth into five variables, including some related to the supply-side and demographics, so to verify the single contributions to income growth and variance over our period of interest. We conclude that variables that have been so far absent in the growth literature indeed have a non-negligible role in explaining the dynamics of long run per capita GDP growth. In particular, these “forgotten factors” (that we identify with the employment and the activity rates and a demographic ratio) matter more in better performing economies, where we also highlight that productivity has been less important in determining GDP growth than in relatively bad performers.