In: Economics
Explain in 200 words the relationship between Openness and economic development by calculating the correlation coefficient between GDP per capita (proxy for economic development) and Openness for Paraguay and Poland, respectively.
Country Name | Country Code | Series Name | Series Code | 2001 [YR2001] | 2002 [YR2002] | 2003 [YR2003] | 2004 [YR2004] | 2005 [YR2005] | 2006 [YR2006] | 2007 [YR2007] | 2008 [YR2008] | 2009 [YR2009] | 2010 [YR2010] | 2011 [YR2011] | 2012 [YR2012] | 2013 [YR2013] | 2014 [YR2014] |
Paraguay | PRY | Exports of goods and services (current US$) | NE.EXP.GNFS.CD | 3459319570 | 3402825624 | 3625989129 | 4371893087 | 5083809323 | 6252319090 | 7818347667 | 9993980610 | 8210295841 | 11036468064 | 13186264509 | 12278348692 | 14356651476 | 13954911448 |
Paraguay | PRY | GDP (current US$) | NY.GDP.MKTP.CD | 7662595076 | 6325151760 | 6588103836 | 8033877360 | 8734653809 | 10646157920 | 13794910634 | 18504130753 | 15929902138 | 20030528043 | 25099681461 | 24595319574 | 28965906502 | 30881166852 |
Paraguay | PRY | GDP per capita (current US$) | NY.GDP.PCAP.CD | 1417 | 1148 | 1175 | 1409 | 1507 | 1810 | 2312 | 3060 | 2600 | 3226 | 3988 | 3856 | 4480 | 4713 |
Paraguay | PRY | GINI index (World Bank estimate) | SI.POV.GINI | 55 | 57 | 56 | 53 | 51 | 54 | 52 | 51 | 50 | 52 | 53 | 48 | 48 | 52 |
Paraguay | PRY | Imports of goods and services (current US$) | NE.IMP.GNFS.CD | 2727373823 | 2298406126 | 2623501714 | 3307792347 | 4018039423 | 5221045741 | 6461917817 | 9166237324 | 7130137358 | 10313046052 | 12621883682 | 11979621541 | 12983600420 | 13242370791 |
Poland | POL | Exports of goods and services (current US$) | NE.EXP.GNFS.CD | 51878648721 | 57137009804 | 72632296220 | 87410323710 | 105952277925 | 130565028203 | 165538367008 | 202086584758 | 163740453116 | 191967370760 | 225042181278 | 222344181762 | 242809098962 | 259386390289 |
Poland | POL | GDP (current US$) | NY.GDP.MKTP.CD | 190521263343 | 198680637255 | 217518642325 | 255102252843 | 306134635594 | 344826430298 | 429249647595 | 533815789474 | 440346575958 | 479257883742 | 528725113046 | 500284003684 | 524201151607 | 545075908846 |
Poland | POL | GDP per capita (current US$) | NY.GDP.PCAP.CD | 4981 | 5197 | 5694 | 6681 | 8021 | 9041 | 11260 | 14001 | 11542 | 12598 | 13891 | 13144 | 13780 | 14340 |
Poland | POL | GINI index (World Bank estimate) | SI.POV.GINI | 33 | 34 | 35 | 35 | 35 | 34 | 34 | 34 | 34 | 33 | 33 | 32 | 33 | 32 |
Poland | POL | Imports of goods and services (current US$) | NE.IMP.GNFS.CD | 58766945944 | 63908088235 | 78406788377 | 94256069554 | 109183717624 | 137680257857 | 180703003578 | 228993441806 | 167514280213 | 201543256955 | 235386043059 | 224546822229 | 232598709188 | 251529270071 |
Paraguay | |||||
Exports of goods and services (current US$) | GDP (current US$) | GDP per capita (current US$) | GINI index (World Bank estimate) | Imports of goods and services (current US$) | Openness = (X+M)/GDP |
3459319570 | 7662595076 | 1417 | 55 | 2727373823 | 0.81 |
3402825624 | 6325151760 | 1148 | 57 | 2298406126 | 0.90 |
3625989129 | 6588103836 | 1175 | 56 | 2623501714 | 0.95 |
4371893087 | 8033877360 | 1409 | 53 | 3307792347 | 0.96 |
5083809323 | 8734653809 | 1507 | 51 | 4018039423 | 1.04 |
6252319090 | 10646157920 | 1810 | 54 | 5221045741 | 1.08 |
7818347667 | 13794910634 | 2312 | 52 | 6461917817 | 1.04 |
9993980610 | 18504130753 | 3060 | 51 | 9166237324 | 1.04 |
8210295841 | 15929902138 | 2600 | 50 | 7130137358 | 0.96 |
11036468064 | 20030528043 | 3226 | 52 | 10313046052 | 1.07 |
13186264509 | 25099681461 | 3988 | 53 | 12621883682 | 1.03 |
12278348692 | 24595319574 | 3856 | 48 | 11979621541 | 0.99 |
14356651476 | 28965906502 | 4480 | 48 | 12983600420 | 0.94 |
13954911448 | 30881166852 | 4713 | 52 | 13242370791 | 0.88 |
Correlation between GDP per capita and openness | 0.08 |
Poland | |||||
Exports of goods and services (current US$) | GDP (current US$) | GDP per capita (current US$) | GINI index (World Bank estimate) | Imports of goods and services (current US$) | Openness = (X+M)/GDP |
51878648721 | 1.90521E+11 | 4981 | 33 | 58766945944 | 0.58 |
57137009804 | 1.98681E+11 | 5197 | 34 | 63908088235 | 0.61 |
72632296220 | 2.17519E+11 | 5694 | 35 | 78406788377 | 0.69 |
87410323710 | 2.55102E+11 | 6681 | 35 | 94256069554 | 0.71 |
1.05952E+11 | 3.06135E+11 | 8021 | 35 | 1.09184E+11 | 0.70 |
1.30565E+11 | 3.44826E+11 | 9041 | 34 | 1.3768E+11 | 0.78 |
1.65538E+11 | 4.2925E+11 | 11260 | 34 | 1.80703E+11 | 0.81 |
2.02087E+11 | 5.33816E+11 | 14001 | 34 | 2.28993E+11 | 0.81 |
1.6374E+11 | 4.40347E+11 | 11542 | 34 | 1.67514E+11 | 0.75 |
1.91967E+11 | 4.79258E+11 | 12598 | 33 | 2.01543E+11 | 0.82 |
2.25042E+11 | 5.28725E+11 | 13891 | 33 | 2.35386E+11 | 0.87 |
2.22344E+11 | 5.00284E+11 | 13144 | 32 | 2.24547E+11 | 0.89 |
2.42809E+11 | 5.24201E+11 | 13780 | 33 | 2.32599E+11 | 0.91 |
2.59386E+11 | 5.45076E+11 | 14340 | 32 | 2.51529E+11 | 0.94 |
Correlation between GDP per capita and openness | 0.93 |
Openness and economic development have positive relationship in both Paraguay and Poland. Paraguay’s correlation coefficient of 0.08 which indicates that the relationship between openness and economic development is a weak one, Whereas Poland’s correlation coefficient = 0.93 which indicates an incredibly strong relationship, it is very close to the perfect correlation.