In the last ten years, fertility rates for advanced and developing economies have been falling faster than expected. Korea has been leading the decline, but almost all advanced and developing economies have experienced accelerated decline in birth rates. Some researchers now expect the world to start experiencing falling global population as quickly as in 2030s.

Even more surprising is that fertility rates for APEC economies have been falling even faster. APEC economies with the highest fertility rates are only slightly above the replacement rate of 2.1; with most economies, even developing members, in the 1% range. This paper is intended to be an exploratory dip into looking at correlations between birth rates and various economic data. We try to examine some of the popular reasons behind the falling birth rates, to see whether they have validity based on data, and see whether APEC economies are special in the sense that the birth rates are falling faster for APEC economies. The paper looks at economic data using panel data regressions to see why birth rates are falling overall, and why they are falling faster for APEC economies. We will concentrate more on trying to find correlations between variables in the data than coming up with theoretical reasons, which will require a much richer data set.

In Section II, the paper lists some of the popular reasons often cited for declining birth rates; Section III is a short general discussion on the data used. Sections IV and V examines whether the data backs some of these popular reasons for the decline. Section IV looks at the relationship between some basic economic growth variables and fertility rates, and serves as a base for further analysis. Section V looks at the relationship between employment data and fertility rates, Given the faster fertility decline for APEC economies, Section VI looks at whether the formation of APEC had a role in the faster decline of fertility rates. Appendix A looks at the relationship between gender education disparities and fertility rates, and Appendix B is a short exploration on whether there is a case to be made that gender disparities in housework is a factor in lower fertility rates.

In this paper, we used panel data of more than 180 economies to examine some factors affecting fertility rates. The factors examined included economic growth factors such as per capita GDP and GDP growth rates; gender based labor and employment factors such as male and female labor participation rate, and the ratio of male and female workers working in various industries. We also considered how some gender based disparities in education, and time spent doing housework for men and women affected fertility rates, though the results are less definite for these cases due to irregular nature of data available. We ran regressions on the global data set, and then for some regressions, only on data for APEC member economies.

Where we used global panel data, we re-confirmed some results that researchers had found before – namely, the higher the per-capita GDP, the lower the fertility rate; the higher the growth rate, the lower the fertility rate. So more income is not always the answer for fostering fertility rates. However, we did find that current growth variables predicted fertility rates better than past growth rate variables, showing perhaps that the trend of falling fertility rates is a more powerful force than a good economic environment fostering more births. These regressions also showed that APEC economies are qualitatively similar to the global group, but with a faster decline. Given similar situations, APEC economies experience a lower fertility rate than global group as a whole.

Using the economic growth variables as controls, we added labor market data to the regressions, and we found that, for the global group, increases in male and female labor participation increased fertility rates. However, perhaps somewhat against expectations, the effect of male labor participation rate had greater effect than female labor participation. Again, given similar situations APEC economies had lower fertility rates. When we used only APEC economy data, female labor force participation had no significant effect on fertility rates. Only the male labor force participation mattered, and higher the male participation rate, higher the fertility rate.

Then we used the shares of male and female labor force on agriculture, industry (manufacturing) and service industries. For the global data set regressions, as expected, a rise of the share working in agriculture would raise the fertility rate, and a rise of the share working in industry would lower fertility rate, as expected. Service industry participation came in between – the effect on fertility rate higher than industry and likely a positive effect, but lower than the effect from agricultural industry participation. The results were same for males and females.

However, when we used only APEC economy data, the qualitative results were significantly different. Male labor force industry share behaved the same as the global group, but for females, share of workers in services had a higher positive effect on fertility rate than agriculture. Industry, as expected had the lowest and negative effect. The effect of female workers participation in different industries on fertility rates seems to be significantly different for APEC economies compared to global group as a whole. Which may be the reason why APEC economy fertility rates fell faster than the global group, but it may also imply that if APEC economies give more flexibility to female workers in service industries, fertility rates may pick up. Further and deeper studies should be taken to see whether the pattern of female employment in APEC economies differ significantly compared to other economies, especially the possible differences between developing APEC economies and other developing economies.

Analysis looking at gender disparities in education for primary and secondary education showed that it is the disparities in secondary education which may be the key to differences in fertility rates, but the results should be taken carefully, since the data for gender disparity in education was available irregularly, so an unbalanced panel data was used, and gender disparities for primary and secondary education seems to be highly correlated. Also, the time disparity between men and women doing housework was also examined, but there were no results that led us to believe that the disparity in doing housework affected fertility rates, contrary to many popular media reports in Korea and elsewhere. But again, data was only available irregularly, so an unbalanced panel data was used, so results may not be as credible as regressions using labor force variables. For these regressions, a separate APEC economy regressions were not attempted due to paucity of data.

These regression results show that declining fertility rate is a strong trend based on rising wealth and growth rates; but the trend may be partially reversed if appropriate labor market adjustments can occur. For APEC economies, encouraging women to go into the services sector which perhaps offer an urban living coupled with flexible labor time schedule may partially offset the declining fertility rates.

Drawing some policy implications from the analyses, while Korea and other APEC economies may be able to keep fertility rates from falling “too low,” it will not be able to raise the rates to the replacement rate of 2.1. Thus, when designing welfare policies, the policymakers must keep the declining population and demographic implications in mind. Over-promising benefits for post-retirement public pension will become a critical problem, and governments should encourage private measures to the public to get them ready for post-retirement.

Second, for would-be mothers, encouraging employment in the service sector may alleviate some of the rapid decline in the fertility rates. Encouraging employment in the services sector, making services job for women available in small and large cities may do better in raising fertility for APEC economies. Women who work for the public sector tend to have more children, in part due to more flexible schedules and consideration for pregnant mothers.

Also, for fertility rates, male employment seems to be as important or perhaps more important than female employment. So, while more flexible time scheduling may be warranted for the would-be mother, any income implications should be approached from the point of view of the entire household.

While the Korean media often cites complaints that men do not do enough housework, as a contributor to low fertility, using global data, this study did not find any particular evidence for that explanation. While the complaint may be valid for Korea, there seems to be little reason to believe that it is a major reason globally, but because of data deficiency, the results may not be clear cut.

Of course, more research is needed. During the modernization and development process, the economic position of husband and wife in the family seems to change from being complementary to more of substitutes – where in the olden days, women specialized in housework aspect of the household and men specialized in wage earning or outside work, now men and women have similar work characteristics, and the global group regressions in this study did not consider such changes in characteristics about husband and wives; but the results that we have derived may be showing the effects of such changes.