Do High Birth Rates Hamper Economic Growth?
By Hongbin Li, Junsen Zhang. Review of Economics and Statistics, 2007
193 citations recorded by the source corpus.
Subfields: Gender Studies, General Health Professions, Pediatrics, Perinatology and Child Health
View Paper: https://www.semanticscholar.org/paper/11ef642334ead1366e45086c243a4beea5140dc3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
In General Health Professions
In Pediatrics, Perinatology and Child Health
Citations in the corpus
- The past and future of knowledge-based growth (2012, unknown): “For the twentieth century a negative association between population growth and income or income growth has already been documented by several studies (e.g. Brander and Dowrik 1994; Kelley and Schmidt 1995; Ahituv 2001; Li and Zhang 2007; Herzer et al. 2012).”
- The quality–quantity trade-off: evidence from the relaxation of China’s one-child policy (2014, background): “Several authors (Scharping 2003; Qian 2009; Li and Zhang 2007) have pointed out that the one-child policy is implemented differently between Han Chinese and ethnic minorities, and the differences vary across time and regions.”
- Redistribution, inequality, and growth: new evidence (2018, background): “See also Li and Zhang (2007) and Acemoglu and Johnson (2007), who use various external instruments to identify independent negative effects of fertility and population growth on GDP per capita.”
- When does FDI matter? The roles of local institutions and ethnic origins of FDI (2013, background): “…rate (INVR) measured by the ratio of fixed investment to GDP, population growth (POPG) which may hamper economic growth given limited resources (Li & Zhang, 2007), labor quality (LQUA) measured by the share of college graduates in the population which is expected to boost economic growth in…”
- The effect of advertising on brand awareness and perceived quality: An empirical investigation using panel data (2009, methodology): “This is an appealing methodology that has been widely applied (e.g., Acemoglu and Robinson 2001; Durlauf et al. 2005; Zhang and Li 2007) because valid instruments are often hard to come by.”