Below is the data on Brazil and China

\fWhat drives GDP growth in China and Brazil? How do they compare to each other? Data on real GDP, capital, employment, are in the country data file, available on the course website. Assume that payments to labor make up two-thirds of GDP in both countries, i.e., 1 - a = 2/3. a. How has GDP per worker evolved in the two countries? Turn in one well-labeled graph that plots GDP per worker (1980-2019) for both countries. Use a data software, such as Excel, to make your graph. Do not turn in hand drawn graphs. b. Compute TFP for each year. Create a TFP index for each country by dividing the value of TFP in each year by the value of TFP in 1980 and multiplying by 100. Turn in one well-labeled graph showing (1980-2019) the two TFP indices c. Compute the marginal product of capital (i.e. the MPK) for each year. Turn in one well-labeled graph showing (1980-2019) the MPKs for each country. d. Separate each country's growth experience into two periods: 1980-1995 and 1995-2019. De- compose the growth in output per worker into contributions from TFP, capital per worker, and these two periods. Report your findings in the tables below. Please report the annual growth rate for each period. China YL aK/L TFP 1980-1995 1995-2019 Brazil Y/L aK/L TFP 1980-1995 1995-2019 e. Prepare a short summary of growth in China and Brazil, highlighting the similarities and differ- ences between the two countries (including any differences that arise in the two periods). In your report, please address several questions . Which of the growth accounting elements are most important?a How have returns on capital evolved over this time period? How do the evolution of returns relate to the accounting exercise? a What are possible reasons for the evolution of productivity in these two countries. In doing so, you should explore the World Bank's Doing Business reports and Governance Indicators. China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China China 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 17196695 180460925 1861478125 20315705 217812075 241481125 260217525 2780417 300828925 314182225 315346025 I 3165062.75-| 3300265.5 3556142.5 3920703.5 4256049.5 4656878.5 4990403 5274646.5 5305648.5 5572817.5 5961858.5 6370494 6969362 7496418 8225268.5 9019165 9981658 10976025 11615480 12577085 13946387 14917428 15414981 16561333 17710510 18378150 19131150 19685860 19839984 20571246 4675601196 4845688538 504551825 5295593262 543.1723022 5579721069 5733280029 5872228394 5996497192 61174646 64L0508423 6604765015 675503479 6827409668 6885791626 6939137573 6992023926 7055328125 7133764038 72L1416016 728.7011108 7352231445 7425759644 7485954346 753550415 7586143188 7632120361 7672093506 77L0383911 774A563599 7775272583 78L0355225 7842133179 7882928467 79L6427612 7945456299 7973352661 7985303345 799.1860962 7993066406 7988077393 5084995.5 5368837.5 5630197 6061248 6307498.5 6595202 69129055 73859405 78032205 8099619 8307742 8407349 8543077 8784302 9538352 10230663 11214639 12194281 12852704 13491075 14562359 15760559 17206794 18975916 20683408 22941258 25472820 28098400 30290010 32863452 36855464 42331708 46622832 50743640 55869636 60808008 64797304 68728456 72763856 76689208 81726344