Reference no: EM131649949
Emerging Giants: The Economic Rise of China and India
Assignment 1: Reform, Liberalization, and Economic Growth
In this assignment, you will find and analyze data on GDP and GDP per capita for China and India, and you will discuss one factor that helps to explain their growth.
Dataset:
World Bank World Development Indicators
Background data collection and analysis:
1. DownloadGDP data for China, India, and Canada starting in the year of the 1980s corresponding to the last digit of your B00 number. For example, if your B00 number ends in 5, collect data starting in 1985; if your B00 number ends in 7, collect data starting in 1987. Find data through the year 2016. Use the series GDP (constant 2010 US$).
2. For China, India, and Canada separately, calculate the compound annual growth rate (CAGR) of GDP between your earliest year (selected according to the last digit of your B00 number) and the year 2016. (Note: The formula for CAGR is (end value/beginning value)^(1/number of years) - 1, x 100 to get a percentage.)
3. Download GDP per capita data for China, India, and Canada starting in the year of the 1980s corresponding to the last digit of your B00 number. Find data through the year 2016. Use the series GDP per capita (constant 2010 US$).
4. For China, India, and Canada separately, calculate the compound annual growth rate (CAGR) of GDP per capita between your earliest year (selected according to the last digit of your B00 number) and the year 2016.
5. Choose one factor that Bosworth and Collins (2008) believe helps to explain GDP per capita: physical capital accumulation, human capital accumulation, or openness. Download data on your explanatory variable for China and India starting in the year of the 1980s corresponding to the last digit of your B00 number and ending in the year 2015. Use the series Gross fixed capital formation (% of GDP), School enrollment, secondary (% gross) (note: not available for each year), or Trade (% of GDP).
6. For China and India (separately), calculate the correlation coefficient between your explanatory variable and GDP per capita between your earliest year (selected according to the last digit of your B00 number) and the year 2015.
Essay:
In your essay, describe the growth performance of China and India, both in absolute terms and in per-capita terms. Compare the two countries to each other and to Canada, and discuss whether your explanatory variable helps to explain growth performance. Bosworth and Collins (2008) focus as well on the role of total factor productivity (TFP). Why is TFP hard to measure?
Your essay must have a title, an introduction, a conclusion, and a data appendix. Make sure to define all terms and provide appropriate background information.
The maximum length is 500 words plus a two-page data appendix; include a word count at the end of your submission. Include the grading rubric as the first page of your submission. Use Chicago or APA style, and write in 11 or 12 point font, double-spaced, with one-inch margins.
Attachment:- Data-Extract-From-World-Development-Indicators.rar