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https://github.com/minhkhang1795/modsimproject1
To explain the connection between the One Child Policy and child population in China from 1960 to 2015.
https://github.com/minhkhang1795/modsimproject1
jupyter-notebook modeling modsimpy one-child-policy population python simulation
Last synced: about 1 month ago
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To explain the connection between the One Child Policy and child population in China from 1960 to 2015.
- Host: GitHub
- URL: https://github.com/minhkhang1795/modsimproject1
- Owner: minhkhang1795
- License: mit
- Created: 2017-09-25T20:42:55.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-12-12T22:57:19.000Z (about 7 years ago)
- Last Synced: 2024-01-29T07:34:01.545Z (11 months ago)
- Topics: jupyter-notebook, modeling, modsimpy, one-child-policy, population, python, simulation
- Language: Jupyter Notebook
- Homepage:
- Size: 1.07 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# One Child Policy's Effects on China's Population
## Question
* How did the One Child Policy in
1979 affect China’s child population
growth?
* Context: To explain the connection
between the One Child Policy and
child population## Model
* Parameter: different growth rates
* Linear model (to model growth rates over
certain time periods)
* We read about the history of China’s
population from 1960 - 2015
* We focused on the growth rate because that
is the most relevant to the One Child Policy## Results
![model](https://github.com/minhkhang1795/ModSimProject1/blob/master/code/model.png)
## Conclusions
* Growth rate was reduced by 3.6% due to the One
Child Policy
* The real child population data does show slight
growth in 1985 and 2009
* 1985 - Two child Policy introduced in rural areas
* 2009 - Two Child Policy expanded across China
## Built With* [Jupyter Notebook](http://jupyter.org/)
* Python 3## Authors
* Vienna Scheyer
* Khang Vu## Acknowledgments
* [ModSimPy](https://github.com/AllenDowney/ModSimPy) by Allen Downey