An Econometric Analysis of the Determinants of Fertility for China, 1952–2000

Narayan, Paresh Kumar; Peng, Xiujian

doi:10.1080/14765280600737039

Cited by 20 publications

(29 citation statements)

References 37 publications

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“…The findings support the note made by Becker (1960), who points out that an increase in incomes will tend to reduce fertility rates because rising income means children are needed less as producer goods and investment goods because increased income allows greater access to capital markets. In addition, the results also support the findings of Narayan and Peng (2006) in the case of China. However, these findings contrast with those of Firin and Muller's (2012), which detect the significant and positive impact of per capita income on fertility rates in Tunisia.…”

Section: Source: Author's Calculationsupporting

confidence: 80%

“…The mixed findings may be due to the differences in (i) the methodology issues (ii) the time period covered by respective studies and (iii) variations regarding the proxies used as determinants affecting fertility rates. The best explanation, in relation to the present case examining Malaysia, is that increasing infant mortality rates may discourage having more children, as suggested by Narayan (2006) and Narayan and Peng (2006). Pesaran and Pesaran (1997).…”

Section: Unit Root Testmentioning

confidence: 99%

“…Although the findings of Narayan (2006 ) and Narayan and Peng (2007) demonstrate the negative influence of infant mortality rates on fertility rates in the cases of Taiwan and Japan, respectively, the influence appears statistically insignificant. However, Narayan and Peng (2006) and Frini and Muller (2012) find significant and positive impacts of infant mortality rates on total fertility rates in China and Tunisia, respectively. The mixed findings may be due to the differences in (i) the methodology issues (ii) the time period covered by respective studies and (iii) variations regarding the proxies used as determinants affecting fertility rates.…”

Section: Unit Root Testmentioning

confidence: 99%

“…In contrast, another argument exists which indicates that increasing infant mortality rates discourage child birth. In other words, increasing infant mortality rates will result in decreasing, rather than increasing, total fertility rates (Narayan, 2006;Narayan, Peng, 2006). From the economic perspective, infant mortality rates fall due to an increase in industrialisation and urbanisation which, in turn, raises literacy and living standards and improves medical practices.…”

Section: Theoretical Explanation and Literature Reviewmentioning

confidence: 99%

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Factors Affecting Fertility – New Evidence from Malaysia

Awad¹,

Yussof

2017

Bulletin of Geography. Socio-Economic Series

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Abstract. This research paper investigates long and short term determinants of fertility rates in Malaysia based on basic macroeconomic variables for the period 1980-2014 using Auto Regressive Distributed Lag (ARDL) method. The study reveals that over a long term period, all the selected variables (GDP, infant mortality rate, females' education and employment) have had significant and negative impact on total fertility rates. Whilst during the short term period, only the infant mortality rate has had a positive impact. Since population growth is partly determined by fertility rates, efforts to increase population in Malaysia should consider factors that affect those rates.

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Section: Source: Author's Calculationsupporting

confidence: 80%

Section: Unit Root Testmentioning

confidence: 99%

Section: Unit Root Testmentioning

confidence: 99%

Section: Theoretical Explanation and Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Factors Affecting Fertility – New Evidence from Malaysia

Awad¹,

Yussof

2017

Bulletin of Geography. Socio-Economic Series

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“…This is the approach adopted in many policy evaluation studies when the policy change a¤ects all …rms/individuals at the same time (e.g. Hat-ton, 2005;Nakahara et al, 2010;Narayana and Pengb, 2006;Rotte and Vogler, 1999 Assume the following general speci…cation of the dummy variable in the total costs function in (2):…”

Section: Identi…cation Strategymentioning

confidence: 99%

Implications of global budget payment system on nursing home costs

2014

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Pressure on health care systems due to the increasing expenditures of the elderly population is pushing policy makers to adopt new regulation and payment schemes for nursing home services. We consider the behavior of nonpro…t nursing homes under di¤erent payment schemes and empirically investigate the implications of prospective payments on nursing home costs under tightly regulated quality aspects. To evaluate the impact of the policy change introduced in 2006 in Southern Switzerland -from retrospective to prospective payment -we use a panel of 41 homes observed over a 10-years period (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010). We employ a …xed e¤ects model with a time trend that is allowed to change after the policy reform. There is evidence that the new payment system slightly reduces costs without impacting quality.

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On the interaction between socioeconomic development and fertility rate: A cross‐country analysis

Ali

Rabbi

et al. 2020

J Public Affairs

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This paper investigates the relationship between socioeconomic development, population policies, and fertility decline for a sample of 138 countries for the period of 1960–2016. Moreover, this study analyzes the determinants of fertility rate for the sample countries. It is found that a drastic demographic transition decline in crude birth rate for the different classified group of countries from 1960 to 2016. Furthermore, it is noted that as compare to least developed countries the average annual population growth percent of developed countries is very low. However, there is a demographic transition of different classified group of countries for the year 2000 and 2016 in developing countries as well. The results of panel estimation technique show that fertility rate depends on female labor force participation, infant mortality rate, real income, and female education.

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An Econometric Analysis of the Determinants of Fertility for China, 1952–2000

Cited by 20 publications

References 37 publications

Factors Affecting Fertility – New Evidence from Malaysia

Factors Affecting Fertility – New Evidence from Malaysia

Implications of global budget payment system on nursing home costs

On the interaction between socioeconomic development and fertility rate: A cross‐country analysis

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