Literature DB >> 31431804

Challenging Myths About China's One-Child Policy.

Martin King Whyte1, Feng Wang2, Yong Cai3.   

Abstract

China's controversial one-child policy continues to generate controversy and misinformation. This essay challenges several common myths: that Mao Zedong consistently opposed efforts to limit China's population growth; that as a result China's population continued to grow rapidly until after his death, necessitating the switch to mandatory and coercive birth limits; that the launching of the one-child policy in 1980 led to a dramatic decline in China's fertility rate; and that due to the one-child policy, China and the world benefited from 400 million births that were thereby prevented. Evidence is presented contradicting each of these claims: that Mao Zedong at times forcefully advocated strict limits on births and presided over a major switch from voluntary to coercive birth planning after 1970 (not 1980); that as much as 3/4 of the decline in fertility in China since 1970 occurred prior to the launching of the one-child policy; that fertility levels fluctuated and even rose in some years after the one-child policy was launched; and that most of the further decline in Chinese fertility since 1980 can be attributed to economic development, not to coercive enforcement of birth limits.

Entities:  

Year:  2015        PMID: 31431804      PMCID: PMC6701844          DOI: 10.1086/681664

Source DB:  PubMed          Journal:  China J        ISSN: 1324-9347


  3 in total

1.  Formal comment on "Assessing the impact of the 'one-child policy' in China: A synthetic control approach".

Authors:  Daniel Goodkind
Journal:  PLoS One       Date:  2019-11-06       Impact factor: 3.240

2.  Is there a Chinese pattern of the second demographic transition?

Authors:  Jia Yu; Yu Xie
Journal:  China Popul Dev Stud       Date:  2022-09-10

3.  Chinese only children and loneliness: Stereotypes and realities.

Authors:  Shengjie Lin; Toni Falbo; Wen Qu; Yidan Wang; Xiaotian Feng
Journal:  Am J Orthopsychiatry       Date:  2021-06-24       Impact factor: 3.407

  3 in total

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