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Describe the evolution of the volume of exports and imports. For this task you will need data aggregated over all products and all partners for the whole period available.

  1. Generate a table with the time series of the country’s total exports and imports including the annual percentage change and the trade balance for every year.
  2. Add to the table the aggregate world exports for each year, as well as the annual percentage change.
  1. Compute and include in the table your country’s export share in world exports for each year, as well as the annual percentage change in the share.
  1. Generate a line diagram for your country’s exports share over time. Briefly discuss your findings.

Task 2. Analyse the degree of integration of your country to the world economy. In this point, in addition to the data downloaded in Task 1 you will need to download GDP at current US$.

  1. Generate a table and a line diagram where you show the evolution of your country’s openness to trade for the whole period of available data. Also include in your table the annual change over time. Trade openness is computed using the following formula:
  1. Briefly discuss your findings. Make sure that your analysis includes references to specific political or economic events that may relate to the evolution of the openness to trade in your country. Support your analysis by research on relevant literature when appropriate.

Task 3. Analyse the pattern of exports specialisation. For this task you will need to download your country’s exports data disaggregated by industries (SITC 3-digit level). Download the data for the earliest year available, one year around the middle of your time series (possibly end of the 1980’s or beginning of the 1990’s), and for the most recent year in your dataset (if you find some missing observations that is ok, as long as there is enough data to conduct the analysis just work with what you have).

  1. In your Excel spread sheet(s) calculate the index of Revealed Comparative Advantage (RCA) for the manufacturingindustries at the SITC 3-digit level using the relevant data. Please keep RCA values to 3 decimal places. Note that the data downloaded may include manufacturing and non-manufacturing industries. The manufacturing industries are those with coding between 5 and 8. The RCA of an industry of country in year is given by:

where !"# is the export value of industry of country at year . The denominator incorporates aggregated world values (all countries).

  1. Generate 3 tables where you list the top 10 industries by comparative advantage in each of the selected years (one table per year). Each table should include the rank, industry ID, industry name and the corresponding RCA.

Note: The index represents the share of a particular industry in the total exports of a country, relative to the share of that industry in world trade. A country is said to have a revealed comparative advantage in an industry when the corresponding index is greater than 1 ( > 1).

  1. Briefly discuss your findings analysing the patterns and trends of comparative advantage. What do you think are the sources of the revealed comparative advantage and its change over time (in case a change is observed)? Your discussion should be supported not only by the data analysis but also by research on relevant literature and the theories studied in the subject.

Task 4. Analyse the geographical pattern of trade. For this task you will need to download trade data by trade partner.

  1. Using aggregate exports by trade partner identify and report the top ten export destinations (by export value) of your chosen country. Generate a table where you include the top ten partners in each of the years selected in Task 3. Discuss your findings. Your discussion should be supported not only by the data analysis but also by research on relevant literature and the theories studied in the subject.

Task 1: Evolution of the volume of exports and imports

a:

Year

Export

import

Trade balance

% export change

% import change

1963

1365084

980666.5

384417.28

11.7746651

-28.72481783

1964

1410346

1077067

333278.72

3.315699798

9.830114559

1965

1493390

1194322

299068.288

5.888226044

10.88648795

1966

1593239

1124300

468939.264

6.686076785

-5.862888291

1967

1464525

1095533

368991.872

-8.078767702

-2.558633452

1968

1367862

1169181

198681.472

-6.60030709

6.72249968

1969

1612082

1570692

41389.568

17.85409393

34.34125329

1970

1773170

1688563

84607.232

9.99260226

7.504414258

1971

1740343

1845535

-105191.808

-1.851317133

9.296189328

1972

1941094

1904288

36805.888

11.53511366

3.183515274

1973

3265998

2235295

1030702.08

68.25550649

17.38220993

1974

3930696

3634752

295944.192

20.3520857

62.60722663

1975

2961260

3945302

-984042.496

-24.66322424

8.543919145

1976

3911920

3028448

883472.384

32.10324929

-23.23913882

1977

5641660

4158369

1483291.904

44.21715838

37.31021672

1978

6394174

3832262

2561912.32

13.33851172

-7.842183276

1979

7807746

6692389

1115357.184

22.10718862

74.63288018

1980

8019176

10539222

-2520046.08

2.70795037

57.48071773

1981

9141251

9430204

-288953.344

13.99239953

-10.52276533

1982

7623216

5336886

2286329.344

-16.60642995

-43.40646251

1983

7836059

4504095

3331963.904

2.792037097

-15.60444629

1984

8107401

4584592

3522808.832

3.462736728

1.78719936

1985

8395986

3814129

4581857.792

3.559534536

-16.80549226

1986

6852208

4723411

2128796.672

-18.3870986

23.83985706

1987

6360155

5817782

542373.376

-7.18094055

23.16906571

1988

9134186

5321524

3812662.272

43.61578139

-8.530012924

1989

9565435

4200510

5364924.416

4.721256613

-21.06565173

1990

12351522

4076658

8274863.872

29.12661

-2.948511736

1991

11974937

8275253

3699683.89

-3.048891135

102.991117

1992

12234938

14863667

-2628728.832

2.171209933

79.61585457

1993

13114392

16772907

-3658515.456

7.188047521

12.84501182

1994

15803246

21581033

-5777787.904

20.50307866

28.66602946

1995

20962546

20121620

840925.184

32.64709185

-6.762479628

1996

23809602

23761523

48078.848

13.5816323

18.08950831

1997

26429618

30349375

-3919757.312

11.00403397

27.72487642

1998

26406298

31377191

-4970893.312

-0.088236523

3.386611446

1999

23223163

25507920

-2284756.69

-12.05445281

-18.7055346

2000

26244852

25280428

964423.99

13.01152989

-0.891848099

2001

26510801

20321127

6189673.991

1.013339248

-19.61715472

2002

25595936

8989545

16606391.35

-3.450914312

-55.76256834

2003

29827826

13850766

15977059.73

16.533443

54.07638844

2004

34436225

22445239

11990985.76

15.4500016

62.05052918

2005

39963954

28688604

11275350.22

16.05207574

27.81598532

2006

45998157

34132744

11865412.45

15.09911314

18.97666558

2007

55216017

44706984

10509032.51

20.03962891

30.97975297

2008

69317382

57432292

11885089.37

25.53854112

28.46380383

2009

54631307

38752086

15879220.49

-21.18671293

-32.52561415

2010

66161589

56763508

9398081.848

21.10563177

46.47858417

2011

80665995

73923712

6742282.806

21.92269826

30.23105052

2012

77728392

67927335

9801056.664

-3.641686881

-8.111574263

2013

74114598

74407436

-292837.862

-4.649259111

9.539753225

2014

66581366

65201533

1379833.269

-10.16430239

-12.37228898

2015

54518733

59726053

-5207320.123

-18.1171308

-8.397777691

2016

55688820

55578483

110336.493

2.146211191

-6.944322069

2017

56120358

66869312

-10748953.56

0.774910015

20.31510685

Table 1: Export and import position of Argentina

Source: (Wits.worldbank.org. 2018)

b:

Year

Export

import

Trade balance

% export change

% import change

World export

% world export change

1963

1365084

980666.5

384417.28

11.7746651

-28.72481783

129059282.5

20.74449032

1964

1410346

1077067

333278.72

3.315699798

9.830114559

145337783.5

12.61319664

1965

1493390

1194322

299068.288

5.888226044

10.88648795

161168982

10.89269291

1966

1593239

1124300

468939.264

6.686076785

-5.862888291

177345170.1

10.03678745

1967

1464525

1095533

368991.872

-8.078767702

-2.558633452

187889519.2

5.94566463

1968

1367862

1169181

198681.472

-6.60030709

6.72249968

216840655.3

15.40859555

1969

1612082

1570692

41389.568

17.85409393

34.34125329

238835759.8

10.14344128

1970

1773170

1688563

84607.232

9.99260226

7.504414258

280945758.4

17.63136252

1971

1740343

1845535

-105191.808

-1.851317133

9.296189328

306722804

9.17509688

1972

1941094

1904288

36805.888

11.53511366

3.183515274

367724934.2

19.8883583

1973

3265998

2235295

1030702.08

68.25550649

17.38220993

510462066.9

38.81627799

1974

3930696

3634752

295944.192

20.3520857

62.60722663

770522354.2

50.94605538

1975

2961260

3945302

-984042.496

-24.66322424

8.543919145

795902152.6

3.293843222

1976

3911920

3028448

883472.384

32.10324929

-23.23913882

888613192.4

11.64854744

1977

5641660

4158369

1483291.904

44.21715838

37.31021672

1060468416

19.33971105

1978

6394174

3832262

2561912.32

13.33851172

-7.842183276

1131999144

6.74520114

1979

7807746

6692389

1115357.184

22.10718862

74.63288018

1429415128

26.27351669

1980

8019176

10539222

-2520046.08

2.70795037

57.48071773

1729919665

21.02290168

1981

9141251

9430204

-288953.344

13.99239953

-10.52276533

1718455231

-0.662714818

1982

7623216

5336886

2286329.344

-16.60642995

-43.40646251

1560388032

-9.198214555

1983

7836059

4504095

3331963.904

2.792037097

-15.60444629

1500723305

-3.823710833

1984

8107401

4584592

3522808.832

3.462736728

1.78719936

1620843577

8.004158469

1985

8395986

3814129

4581857.792

3.559534536

-16.80549226

1667628394

2.886448617

1986

6852208

4723411

2128796.672

-18.3870986

23.83985706

1806270681

8.3137399

1987

6360155

5817782

542373.376

-7.18094055

23.16906571

2131648438

18.01378721

1988

9134186

5321524

3812662.272

43.61578139

-8.530012924

2447358636

14.81061289

1989

9565435

4200510

5364924.416

4.721256613

-21.06565173

2740451536

11.97588679

1990

12351522

4076658

8274863.872

29.12661

-2.948511736

3123526000

13.97851626

1991

11974937

8275253

3699683.89

-3.048891135

102.991117

3187816702

2.058273337

1992

12234938

14863667

-2628728.832

2.171209933

79.61585457

3453072101

8.320911248

1993

13114392

16772907

-3658515.456

7.188047521

12.84501182

3407975057

-1.305997762

1994

15803246

21581033

-5777787.904

20.50307866

28.66602946

3874283417

13.68285719

1995

20962546

20121620

840925.184

32.64709185

-6.762479628

4628073356

19.45624154

1996

23809602

23761523

48078.848

13.5816323

18.08950831

4925070751

6.417300939

1997

26429618

30349375

-3919757.312

11.00403397

27.72487642

5113944870

3.834952401

1998

26406298

31377191

-4970893.312

-0.088236523

3.386611446

5078295037

-0.697110224

1999

23223163

25507920

-2284756.69

-12.05445281

-18.7055346

5277849604

3.929558341

2000

26244852

25280428

964423.99

13.01152989

-0.891848099

5999765608

13.67822236

2001

26510801

20321127

6189673.991

1.013339248

-19.61715472

5771100928

-3.811226889

2002

25595936

8989545

16606391.35

-3.450914312

-55.76256834

6073651106

5.242503673

2003

29827826

13850766

15977059.73

16.533443

54.07638844

7058624636

16.2171569

2004

34436225

22445239

11990985.76

15.4500016

62.05052918

8540294418

20.99091337

2005

39963954

28688604

11275350.22

16.05207574

27.81598532

9698193774

13.55807305

2006

45998157

34132744

11865412.45

15.09911314

18.97666558

11236985779

15.86678964

2007

55216017

44706984

10509032.51

20.03962891

30.97975297

13003022196

15.71628239

2008

69317382

57432292

11885089.37

25.53854112

28.46380383

15004830963

15.39495001

2009

54631307

38752086

15879220.49

-21.18671293

-32.52561415

11471972330

-23.54480795

2010

66161589

56763508

9398081.848

21.10563177

46.47858417

14087028299

22.79517326

2011

80665995

73923712

6742282.806

21.92269826

30.23105052

16841711487

19.55475016

2012

77728392

67927335

9801056.664

-3.641686881

-8.111574263

16647154895

-1.155206773

2013

74114598

74407436

-292837.862

-4.649259111

9.539753225

17292110490

3.874269202

2014

66581366

65201533

1379833.269

-10.16430239

-12.37228898

17300735968

0.049881001

2015

54518733

59726053

-5207320.123

-18.1171308

-8.397777691

14008216645

-19.03109399

2016

55688820

55578483

110336.493

2.146211191

-6.944322069

14412693610

2.887426537

2017

56120358

66869312

-10748953.56

0.774910015

20.31510685

10605102916

-26.41831428

Table 2: world export situation

Source: (Wits.worldbank.org. 2018)

Year

Export

import

Trade balance

% export change

% import change

World export

% world export change

Argentina world export share

%change in Argentina world export share

1963

1365084

980666.5

384417.28

11.7746651

-28.72481783

129059282.5

20.74449032

1.057718399

-831.2504271

1964

1410346

1077067

333278.72

3.315699798

9.830114559

145337783.5

12.61319664

0.970391747

-8.256134382

1965

1493390

1194322

299068.288

5.888226044

10.88648795

161168982

10.89269291

0.92659902

-4.512891455

1966

1593239

1124300

468939.264

6.686076785

-5.862888291

177345170.1

10.03678745

0.898383318

-3.045082236

1967

1464525

1095533

368991.872

-8.078767702

-2.558633452

187889519.2

5.94566463

0.779460887

-13.23738199

1968

1367862

1169181

198681.472

-6.60030709

6.72249968

216840655.3

15.40859555

0.63081443

-19.07041892

1969

1612082

1570692

41389.568

17.85409393

34.34125329

238835759.8

10.14344128

0.674974944

7.000555425

1970

1773170

1688563

84607.232

9.99260226

7.504414258

280945758.4

17.63136252

0.631143336

-6.49381262

1971

1740343

1845535

-105191.808

-1.851317133

9.296189328

306722804

9.17509688

0.567399424

-10.09975198

1972

1941094

1904288

36805.888

11.53511366

3.183515274

367724934.2

19.8883583

0.527865759

-6.967519417

1973

3265998

2235295

1030702.08

68.25550649

17.38220993

510462066.9

38.81627799

0.639812002

21.20733167

1974

3930696

3634752

295944.192

20.3520857

62.60722663

770522354.2

50.94605538

0.510133959

-20.26814785

1975

2961260

3945302

-984042.496

-24.66322424

8.543919145

795902152.6

3.293843222

0.372063295

-27.06557002

1976

3911920

3028448

883472.384

32.10324929

-23.23913882

888613192.4

11.64854744

0.440227584

18.32061618

1977

5641660

4158369

1483291.904

44.21715838

37.31021672

1060468416

19.33971105

0.531997024

20.8459088

1978

6394174

3832262

2561912.32

13.33851172

-7.842183276

1131999144

6.74520114

0.564856783

6.176681025

1979

7807746

6692389

1115357.184

22.10718862

74.63288018

1429415128

26.27351669

0.546219632

-3.299447247

1980

8019176

10539222

-2520046.08

2.70795037

57.48071773

1729919665

21.02290168

0.463557707

-15.13345909

1981

9141251

9430204

-288953.344

13.99239953

-10.52276533

1718455231

-0.662714818

0.531945838

14.7528839

1982

7623216

5336886

2286329.344

-16.60642995

-43.40646251

1560388032

-9.198214555

0.488546148

-8.158667101

1983

7836059

4504095

3331963.904

2.792037097

-15.60444629

1500723305

-3.823710833

0.522152125

6.878772292

1984

8107401

4584592

3522808.832

3.462736728

1.78719936

1620843577

8.004158469

0.500196368

-4.204858225

1985

8395986

3814129

4581857.792

3.559534536

-16.80549226

1667628394

2.886448617

0.503468666

0.654202694

1986

6852208

4723411

2128796.672

-18.3870986

23.83985706

1806270681

8.3137399

0.37935666

-24.65138636

1987

6360155

5817782

542373.376

-7.18094055

23.16906571

2131648438

18.01378721

0.298367921

-21.34896977

1988

9134186

5321524

3812662.272

43.61578139

-8.530012924

2447358636

14.81061289

0.373226317

25.08929077

1989

9565435

4200510

5364924.416

4.721256613

-21.06565173

2740451536

11.97588679

0.349045942

-6.478743223

1990

12351522

4076658

8274863.872

29.12661

-2.948511736

3123526000

13.97851626

0.395435216

13.29030614

1991

11974937

8275253

3699683.89

-3.048891135

102.991117

3187816702

2.058273337

0.375646985

-5.004165077

1992

12234938

14863667

-2628728.832

2.171209933

79.61585457

3453072101

8.320911248

0.354320385

-5.677298357

1993

13114392

16772907

-3658515.456

7.188047521

12.84501182

3407975057

-1.305997762

0.384814775

8.606445265

1994

15803246

21581033

-5777787.904

20.50307866

28.66602946

3874283417

13.68285719

0.407901123

5.999340308

1995

20962546

20121620

840925.184

32.64709185

-6.762479628

4628073356

19.45624154

0.452943246

11.04241197

1996

23809602

23761523

48078.848

13.5816323

18.08950831

4925070751

6.417300939

0.483436741

6.732299442

1997

26429618

30349375

-3919757.312

11.00403397

27.72487642

5113944870

3.834952401

0.516814687

6.904304763

1998

26406298

31377191

-4970893.312

-0.088236523

3.386611446

5078295037

-0.697110224

0.519983526

0.613148019

1999

23223163

25507920

-2284756.69

-12.05445281

-18.7055346

5277849604

3.929558341

0.440011836

-15.37965849

2000

26244852

25280428

964423.99

13.01152989

-0.891848099

5999765608

13.67822236

0.437431283

-0.586473344

2001

26510801

20321127

6189673.991

1.013339248

-19.61715472

5771100928

-3.811226889

0.459371642

5.015726868

2002

25595936

8989545

16606391.35

-3.450914312

-55.76256834

6073651106

5.242503673

0.421425854

-8.260367896

2003

29827826

13850766

15977059.73

16.533443

54.07638844

7058624636

16.2171569

0.422572769

0.272150955

2004

34436225

22445239

11990985.76

15.4500016

62.05052918

8540294418

20.99091337

0.403220585

-4.579609843

2005

39963954

28688604

11275350.22

16.05207574

27.81598532

9698193774

13.55807305

0.412076258

2.196235476

2006

45998157

34132744

11865412.45

15.09911314

18.97666558

11236985779

15.86678964

0.409346043

-0.662550935

2007

55216017

44706984

10509032.51

20.03962891

30.97975297

13003022196

15.71628239

0.42463987

3.73616092

2008

69317382

57432292

11885089.37

25.53854112

28.46380383

15004830963

15.39495001

0.461967094

8.790324969

2009

54631307

38752086

15879220.49

-21.18671293

-32.52561415

11471972330

-23.54480795

0.47621547

3.084283692

2010

66161589

56763508

9398081.848

21.10563177

46.47858417

14087028299

22.79517326

0.469663211

-1.375902196

2011

80665995

73923712

6742282.806

21.92269826

30.23105052

16841711487

19.55475016

0.478965544

1.980639081

2012

77728392

67927335

9801056.664

-3.641686881

-8.111574263

16647154895

-1.155206773

0.466916975

-2.515539794

2013

74114598

74407436

-292837.862

-4.649259111

9.539753225

17292110490

3.874269202

0.42860354

-8.205620485

2014

66581366

65201533

1379833.269

-10.16430239

-12.37228898

17300735968

0.049881001

0.384847015

-10.20909099

2015

54518733

59726053

-5207320.123

-18.1171308

-8.397777691

14008216645

-19.03109399

0.389191102

1.128782928

2016

55688820

55578483

110336.493

2.146211191

-6.944322069

14412693610

2.887426537

0.386387315

-0.720413923

2017

56120358

66869312

-10748953.56

0.774910015

20.31510685

10605102916

-26.41831428

0.529182589

36.9565117


Argentina is one of the growing nations and since many decades it has been indulged in trading with different nations around the world. From the previous tables it can be seen that trade balance of the argentine though was not high, yet it remains substantial over the period providing the nation ability to withstand against the market crunches. During the early 60s trade balance of the Argentina was not that great, however, post 1965 it started to rise (Palazzo and Rapetti 2017). With the rise in the export of primary goods, the nations started to earn higher amount of trade balance and it provided much amount of prosperity to the performance of the state over the time. From the above figure it can be seen that the Argentina has been facing increased share in world trade since last six decades and the major change came in during the 1965. Post this period, Argentina become one of the rapidly growing state and over the year trade share for the Argentina increased gradually (Oita et al. 2016). As of now, there has been sharp rise in the world export share by the Argentina due to the rise in the export of the soybean oil, white and other farming based products. Considering the trend of the Argentina share in the world export, it can be said that the state has faced reducing in the exportation during the Global Financial Crisis situation back in 2008, however, robust agricultural performance back in 20014 has aided the economy to come back on track again (Sancho et al. 2018).

a:

Year

Export (current US$)

Import (current US$)

Total trade

GDP (current US$)

Trade openness

Trade openness % change

1994

19385000000

27299750000

46684750000

2.5744E+11

18.13422545

11.77991782

1995

24978750000

26038000000

51016750000

2.58032E+11

19.77150099

9.028648848

1996

28381250000

30148250000

58529500000

2.7215E+11

21.50635817

8.774534546

1997

30928250000

37413750000

68342000000

2.92859E+11

23.3361447

8.508118904

1998

31137000000

38667250000

69804250000

2.98948E+11

23.34994435

0.059134228

1999

27862250000

32762500000

60624750000

2.83523E+11

21.38265679

-8.425234472

2000

31223750000

33070250000

64294000000

2.84204E+11

22.62250234

5.798369998

2001

31112750000

27604000000

58716750000

2.68697E+11

21.85242285

-3.404042039

2002

27736666041

13065794410

40802460451

97724004252

41.7527513

91.06692003

2003

33084461867

18772867665

51857329532

1.27587E+11

40.64468975

-2.653864753

2004

39266996606

27736672324

67003668929

1.64658E+11

40.69264611

0.117989246

2005

46198180131

34423282342

80621462473

1.98737E+11

40.56689189

-0.309034271

2006

53550250227

40480743016

94030993243

2.32557E+11

40.43347987

-0.328869205

2007

65162321195

52567536062

1.1773E+11

2.87531E+11

40.94517062

1.265512512

2008

79762958392

66316154417

1.46079E+11

3.61558E+11

40.40267338

-1.324935838

2009

65133480388

48268743530

1.13402E+11

3.32976E+11

34.05712691

-15.70575891

2010

80208867996

67937933972

1.48147E+11

4.23627E+11

34.97101326

2.683392409

2011

97810932629

88839174035

1.8665E+11

5.30163E+11

35.206155

0.672390401

2012

88655850854

78013690407

1.6667E+11

5.45982E+11

30.52654237

-13.29202984

2013

80690471898

81240190817

1.61931E+11

5.52025E+11

29.333929

-3.906807902

2014

75841712305

73691675720

1.49533E+11

5.2632E+11

28.41113405

-3.145828007

2015

64367776224

69277437464

1.33645E+11

5.84711E+11

22.85660826

-19.55052471

2016

69385052863

73162700768

1.42548E+11

5.45866E+11

26.11404826

14.25163331

Table 4: Openness of Argentina

Source: (Wits.worldbank.org. 2018)

Considering the trade openness of Argentina it can be seen that over the years, trade openness of Argentina has increased and later it has fell as well. Since the 1993 until 2001it increased marginally and post that until 2004 it increased sharply. From 2004 to 2008 it remained almost same and post that, trade openness of Argentina started to fall gradually (Hye and Lau 2015). During the present date, it can be seen that trade openness of the country is rising again. One of the major reason for the rise in the trade openness during the 2001 in order to control the crisis in the domestic economy government of Argentina utilised the trade path to control the market that gave rise to the trade openness. And when it comes to post 2001 fall, it can be said that Global Financial Crisis is one of the major reason that has allowed the economy to restrict its trade openness for further deterioration of the economy (Sebri and Ben 2014).

a:

b:

1963

United States

22438.166

Brazil

9440.763

Chile

5874.548

Germany

5279.783

Uruguay

4640.647

Venezuela

4501.589

Netherlands

3514.084

United Kingdom

2845.686

Italy

2727.082

Paraguay

2512.419

Table 5: RCA during 1983

Source: (Wits.worldbank.org. 2018)

1985

United States

370467.376

China

173836.769

Brazil

153130.021

Japan

116572.48

Poland

83074.965

Netherlands

74124.477

Chile

73265.204

Uruguay

69672.604

Colombia

68500.407

Cuba

67657.891

Table 6: RCA during 1985

Source: (Wits.worldbank.org. 2018)

2016

Brazil

5607533.876

United States

2799213.606

Chile

973300.17

Uruguay

733331.723

Mexico

641889.093

Paraguay

603097.226

Germany

370554.731

Peru

358121.207

Bolivia

304780.948

Colombia

282566.753

Table 7: RCA during 2016

Source: (Wits.worldbank.org. 2018)

From the above tables it can be seen that during 1963 Argentina has highest RCA against USA in case of the manufacturing industry and contrary to this during 2016 Brazil ranked first in case of RCA of Argentina in the same industry. It depicts that Argentina has moved forward in order to gain much amount of prominence in manufacturing field as Brazil is considered as one of the largest exporter of manufacturing goods. In addition to this, the above tables also highlights that there has been rise in the  RCA of Argentina against European nations compared to other nations  in the word that highlights it is one of the strongly growing economy in the European region (Khobai and Mavikela 2017).

Year

Partner Name

Trade Value in 1000 USD

Year

Partner Name

Trade Value in 1000 USD

Year

Partner Name

Trade Value in 1000 USD

2016

Brazil

9027619.164

1963

Italy

212259.344

1985

Soviet Union

1212698.624

2016

China

4425229.904

1963

United Kingdom

200162.736

1985

United States

1027883.52

2016

United States

4396652.117

1963

United States

153608.224

1985

Netherlands

856346.24

2016

Vietnam

2546072.839

1963

Netherlands

146014.24

1985

Brazil

496293.408

2016

Chile

2297396.936

1963

Germany

93565.84

1985

Japan

360887.872

2016

India

2208521.323

1963

Brazil

77531.632

1985

Iran, Islamic Rep.

313935.36

2016

Egypt, Arab Rep.

1791720.207

1963

France

59038.856

1985

China

311004.064

2016

Spain

1627938.499

1963

Belgium-Luxembourg

58783.156

1985

Italy

300646.24

2016

Indonesia

1243437.843

1963

Chile

41466.916

1985

Germany

289215.968

2016

Germany

1235090.764

1963

Spain

39463.676

1985

Cuba

283403.264

Table 8: Geographical pattern of trade

Source: (Wits.worldbank.org. 2018)

Considering the above table it can be seen that historically Argentina has been indulged in trading with the European nations as well as South American nations. As it can be seen, during the 1963, Italy was the largest trade partner of Argentina and when it comes to latest period, then it can be seen that Italy has lost its trade with the Argentina (Shahbaz et al. 2017). Considering the Brazil, it can be seen that, it was always there in the top ten trading partner’s list which makes it an all-weather friend of the Argentina. As it can be seen, with the comparative advantage of production in agricultural products, Argentina is historically indulged with the trading with USA. One of the latest addition of the top ten trading partner’s list of Argentina is India because of the comparative advantage in production of wheat and pulses. Though India itself is an agriculture based economy, yet, Argentina has comparative advantage in production of the wheat out of corn that satisfies the Hacker Ohlin theory (Campos et al. 2016).

References:

Campos, N.F., Karanasos, M.G. and Tan, B., 2016. From riches to rags, and back? Institutional change, financial development and economic growth in Argentina since 1890. The Journal of Development Studies, 52(2), pp.206-223.

Hye, Q.M.A. and Lau, W.Y., 2015. Trade openness and economic growth: empirical evidence from India. Journal of Business Economics and Management, 16(1), pp.188-205.

Khobai, H. and Mavikela, N., 2017. The causal linkage between trade openness and economic growth in Argentina: Evidence from the ARDL and VECM techniques.

Oita, A., Malik, A., Kanemoto, K., Geschke, A., Nishijima, S. and Lenzen, M., 2016. Substantial nitrogen pollution embedded in international trade. Nature Geoscience, 9(2), p.111.

Palazzo, G. and Rapetti, M., 2017. Real exchange rate and export performance in Argentina, 2002–2008. Journal of Post Keynesian Economics, 40(1), pp.75-94.

Sancho, A.M., Moschini, R.C., Filippini, S., Rojas, D. and Ricca, A., 2018. Weather-based logistic models to estimate total fumonisin levels in maize kernels at export terminals in Argentina. Tropical Plant Pathology, 43(2), pp.99-108.

Sebri, M. and Ben-Salha, O., 2014. On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries. Renewable and Sustainable Energy Reviews, 39, pp.14-23.

Shahbaz, M., Nasreen, S., Ahmed, K. and Hammoudeh, S., 2017. Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels. Energy Economics, 61, pp.221-232.

Wits.worldbank.org. (2018). [Online] Available at: https://wits.worldbank.org/WITS/WITS/Restricted/Login.aspx [Accessed 26 May 2018].

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