Log in

Effects of the product diversification of exports on income at different stages of economic development

  • Original Paper
  • Published:
Eurasian Business Review Aims and scope Submit manuscript

Abstract

This paper empirically examines the effects of three indexes for the product diversification of exports (the Theil index, the extensive margin, and the intensive margin) on the real GDP per capita in 158 countries by considering subgroups related to income levels, i.e., in the low-, the lower middle-, the upper middle-, the non-OECD high-, and the OECD member high income countries. We implement the system-GMM estimations, and the empirical results show that the product diversification of exports is positively related to the real GDP per capita in the low-, the lower middle-, and the upper middle income countries. However, the relationship is negative in the non-OECD- and the OECD member high income countries; i.e., the product concentration of exports promotes the real GDP per capita in these countries. Further examinations also indicate that these effects mainly come from the intensive margin.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. In here, we follow the income definitions of the World Bank.

  2. There are also some recent developments in the debate on ‘stages of diversification’ and the controversy concerning the re-specialization track. See, Parteka and Tamberi (2013b) and Mau (2015) for the details.

  3. We calculate as the output-side GDP at chained purchasing power parity (PPP) levels at 2005 constant USD prices is divided by total population. We consider the variable in logarithmic form.

  4. We calculate as the price level of exports relative to the price level of imports, where the price level of the US output-side GDP in (2005 = 100).

  5. If we find that the diversification of exports positively contributes to the economic growth, this means that the sign of the relationship is negative. The positive sign for the three indexes mean that the concentration of exports positively contributes to the economic growth (Papageorgiou and Spatafora 2012).

  6. We refer to Papageorgiou and Spatafora (2012) for the technical details and calculation method of the export diversification indexes.

  7. However, according to Nickell (1981), one should not include country fixed effects and a lag of the dependent variable, otherwise it leads to a dynamic panel bias. However, this bias attenuates as T increases so there is no dynamic panel bias issue in the empirical results.

  8. Note that −0.181/(1 − 0.696) = −0.595.

  9. Note that −1.091/(1 − 0.693) = −3.554.

  10. Note that −0.154/(1 − 0.921) = −1.949.

  11. Note that −0.416/(1 − 0.923) = −5.403.

  12. Note that −0.095/(1 − 0.392) = −0.156.

  13. Note that −0.317/(1 − 0.458) = −0.585.

  14. Note that −0.442/(1 − 0.494) = −0.874.

  15. Note that 0.031/(1 − 0.881) = 0.261.

  16. Note that 0.158/(1 − 0.864) = 1.161.

  17. Note that 0.043/(1 − 0.859) = 0.305.

  18. Note that 0.243/(1 − 0.866) = 1.813.

References

  • Aditya, A., & Acharyya, R. (2013). Export diversification, composition, and economic growth: evidence from cross-country analysis. Journal of International Trade and Economic Development, 22(7), 959–992.

    Article  Google Scholar 

  • Agosin, M. R., Alvarez, R., & Bravo-Ortega, C. (2012). Determinants of export diversification around the World: 1962–2000. The World Economy, 35(3), 295–315.

    Article  Google Scholar 

  • Al-Marhubi, F. (2000). Export diversification and growth: an empirical investigation. Applied Economics Letters, 7(9), 559–562.

    Article  Google Scholar 

  • Anand, R., Mishra, S., & Spatafora, N. (2012). Structural transformation and the sophistication of production. IMF Working Paper, 12/59. Washington, D.C.: International Monetary Fund.

  • Arora, V., & Vamvakidis, A. (2004). How much do trading partners matter for economic growth? IMF Working Paper, 04/26. Washington, D.C.: International Monetary Fund.

  • Berg, A., Ostry, J. D., & Zettelmeyer, J. (2012). What makes growth sustained? Journal of Development Economics, 98(2), 149–166.

    Article  Google Scholar 

  • Bilgin, M. H., Gozgor, G., & Karabulut, G. (2015). The impact of world energy price volatility on aggregate economic activity in develo** Asian economies. Singapore Economic Review, 60(1), 1550009(1–20).

  • Bilgin, M. H., Lau, C. K. M., & Demir, E. (2012). Technology transfer, finance channels, and SME performance: new evidence from develo** countries. Singapore Economic Review, 57(3), 1250020(1–20).

  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.

    Article  Google Scholar 

  • Cadot, O., Carrere, C., & Strauss-Kahn, V. (2011). Export diversification: what’s behind the hump? Review of Economic and Statistics, 93(2), 590–605.

    Article  Google Scholar 

  • Cadot, O., Carrere, C., & Strauss-Kahn, V. (2013). Trade diversification, income, and growth: what do we know? Journal of Economic Surveys, 27(4), 790–812.

    Article  Google Scholar 

  • Cavalcanti, T. V. D. V., Mohaddes, K., & Raissi, M. (2015). Commodity price volatility and the sources of growth. Journal of Applied Econometrics, 30(6), 857–873.

    Article  Google Scholar 

  • De Benedictis, L., Gallegati, M., & Tamberi, M. (2009). Overall trade specialization and economic development: countries diversify. Review of World Economics, 145(1), 37–55.

    Article  Google Scholar 

  • De Pineres, S. A. G., & Ferrantino, M. (1997). Export diversification and structural dynamics in the growth process: the case of Chile. Journal of Development Economics, 52(2), 375–391.

    Article  Google Scholar 

  • Dosi, G., & Nelson, R. R. (2013). The evolution of technologies: an assessment of the state-of-the-art. Eurasian Business Review, 3(1), 3–46.

    Google Scholar 

  • Gozgor, G. (2014). The impact of trade openness on the unemployment rate in G7 countries. Journal of International Trade and Economic Development, 23(7), 1018–1037.

    Article  Google Scholar 

  • Hausmann, R., Hwang, J., & Rodrik, D. (2007). What you export matters. Journal of Economic Growth, 12(1), 1–25.

    Article  Google Scholar 

  • Herzer, D., & Nowak-Lehmann, F. D. (2006). What does export diversification do for growth? An econometric analysis. Applied Economics, 38(15), 1825–1838.

    Article  Google Scholar 

  • Hesse, H. (2008). Export diversification and economic growth. International Bank for Reconstruction and Development/the World Bank Commission on Growth and Development Working Paper, No. 21. Washington, D.C.: World Bank.

  • Imbs, J., & Wacziarg, R. (2003). Stages of diversification. The American Economic Review, 93(1), 63–86.

    Article  Google Scholar 

  • International Monetary Fund (2013). Regional economic outlook sub-saharan Africa: kee** the pace. IMF Report, October 2013. Washington, D.C.: International Monetary Fund.

  • International Monetary Fund (2014a). Sustaining long-run growth and macroeconomic stability in low-income countries—the role of structural transformation and diversification. IMF Policy Paper, March 2014. Washington, D.C.: International Monetary Fund.

  • International Monetary Fund (2014b). World economic outlook: recovery strengthens, remains uneven. IMF World Economic and Financial Surveys, April 2014. Washington, D.C.: International Monetary Fund.

  • Klinger, B., & Lederman, D. (2006). Diversification, innovation, and imitation inside the global technology frontier. World Bank Policy Research Working Paper, No. 3872. Washington, D.C.: World Bank.

  • Klinger, B., & Lederman, D. (2009). Diversification, innovation, and imitation of the global technological frontier. In R. Newfarmer, W. Shaw, P. Walkenhorst (Eds.), Breaking into new markets. emerging lessons for export diversification. Washington, D.C.: World Bank.

  • Klinger, B., & Lederman, D. (2011). Export discoveries, diversification and barriers to entry. Economic Systems, 35(1), 64–83.

    Article  Google Scholar 

  • Laursen, K. (2015). Revealed comparative advantage and the alternatives as measures of international specialization. Eurasian Business Review, 5(1), 99–115.

    Article  Google Scholar 

  • Mau, K. (2015). Export diversification and income differences reconsidered: the extensive product margin in theory and application. Review of World Economics,. doi:10.1007/s10290-015-0241-x.

    Google Scholar 

  • McMillan, M., Rodrik, D., & Verduzco-Gallo, I. (2014). Globalization, structural change and productivity growth, with an update on Africa. World Development, 63, 11–32.

    Article  Google Scholar 

  • Minondo, A. (2011). Does comparative advantage explain countries’ diversification level? Review of World Economics, 147(3), 507–526.

    Article  Google Scholar 

  • Mohnen, P., & Hall, B. H. (2013). Innovation and productivity: an update. Eurasian Business Review, 3(1), 47–65.

    Google Scholar 

  • Naude, W., & Rossouw, R. (2011). Export diversification and economic performance: evidence from Brazil, China, India, and South Africa. Economic Change and Restructuring, 44(1–2), 99–134.

    Article  Google Scholar 

  • Nickell, S. J. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417–1426.

    Article  Google Scholar 

  • Papageorgiou, C., & Spatafora, N. (2012). Economic diversification in LICs; stylized facts and macroeconomic implication. IMF Staff Discussion Notes 12/13. Washington, D.C.: International Monetary Fund.

  • Parteka, A. (2010). Employment and export specialization along the development path: some robust evidence. Review of World Economics, 145(4), 615–640.

    Article  Google Scholar 

  • Parteka, A., & Tamberi, M. (2013a). What determines export diversification in the development process? Empirical assessment. The World Economy, 36(6), 807–826.

    Article  Google Scholar 

  • Parteka, A., & Tamberi, M. (2013b). Product diversification, relative specialization and economic development: import-export analysis. Journal of Macroeconomics, 38, 121–135.

    Article  Google Scholar 

  • Persson, M. (2013). Trade facilitation and the extensive margin. Journal of International Trade and Economic Development, 22(5), 658–693.

    Article  Google Scholar 

  • Pesaran, M. H. (2004). General diagnostic tests for cross section dependence in panels. IZA Discussion Paper Series, No. 1240. Bonn: IZA.

  • Pesaran, M. H. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312.

    Article  Google Scholar 

  • Prebisch, R. (1950). The economic development of latin America and its principal problems. New York: United Nations, Department of Economic Affairs.

    Google Scholar 

  • Singer, H. W. (1950). The distribution of gains between investing and borrowing countries. The American Economic Review, 40(2), 473–485.

    Google Scholar 

  • United Nations (2004). Export diversification and economic growth: the experience of selected least developed countries. Economic and Social Commission for Asia and the Pacific, Development Papers, No. 24. New York: United Nations.

  • Vivarelli, M. (2013). Technology, employment and skills: an interpretative framework. Eurasian Business Review, 3(1), 66–89.

    Google Scholar 

  • Wagner, J. (2007). Exports and productivity: a survey of the evidence from firm-level data. The World Economy, 30(1), 60–82.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giray Gozgor.

Appendices

Appendix 1: List of countries in the data set (158 countries)

1.1 Low income countries ($1045 or less)

Bangladesh, Benin, Burkina Faso, Burundi, Cambodia, the Central African Republic, Chad, Comoros, Congo Democratic Republic, Ethiopia, the Gambia, Guinea, Guinea–Bissau, Kenya, Liberia, Madagascar, Malawi, Mali, Mozambique, Nepal, Niger, Rwanda, Sierra Leone, Tajikistan, Tanzania, Togo, Uganda, and Zimbabwe.

1.2 Lower middle income countries ($1046–$4125)

Armenia, Bolivia, Cameroon, Cape Verde, Congo Republic, Côte D’Ivoire, Djibouti, Egypt, El Salvador, Georgia, Ghana, Guatemala, Honduras, India, Indonesia, Kyrgyz Republic, Lao PDR, Mauritania, Moldova, Mongolia, Morocco, Nigeria, Pakistan, Paraguay, the Philippines, São Tomé and Principe, Senegal, Sri Lanka, Sudan, Syria, Ukraine, Uzbekistan, Vietnam, Yemen, and Zambia.

1.3 Upper middle income countries ($4126–$12,745)

Albania, Angola, Argentina, Azerbaijan, Belarus, Belize, Bosnia and Herzegovina, Brazil, Bulgaria, China, Colombia, Costa Rica, Dominica, the Dominican Republic, Ecuador, Fiji, Gabon, Grenada, Hungary, Iran, Iraq, Jamaica, Jordan, Kazakhstan, Lebanon, Macedonia FYR, Malaysia, Maldives, Mauritius, Mexico, Panama, Peru, Romania, Serbia, South Africa, St. Lucia, St. Vincent and the Grenadines, Suriname, Thailand, Tunisia, Turkey, Turkmenistan, and Venezuela.

1.4 High income countries (non-OECD) ($12,746 or more)

Antigua and Barbuda, the Bahamas, Bahrain, Barbados, Bermuda, Croatia, Cyprus, Equatorial Guinea, Hong Kong SAR, Kuwait, Latvia, Lithuania, Macao SAR, Malta, Oman, Qatar, Russia, Saudi Arabia, Singapore, St. Kitts and Nevis, Trinidad and Tobago, and Uruguay.

1.5 High income countries (OECD members) ($12,746 or more)

Australia, Austria, Belgium, Canada, Chile, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Japan, Korea Republic, the Netherlands, New Zealand, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland, the United Kingdom, and the United States.

Appendix 2: Descriptive summary statistics: 1962–2010

Variables

Definition

Mean

Standard deviation

Minimum

Maximum

Observations

Low income countries

 GDP per capita

Logarithmic form

6.811

0.495

4.889

9.003

1334

 Human capital

Logarithmic form

4.946

0.219

4.630

5.655

991

 Terms-of-trade

Logarithmic form

4.669

0.275

3.398

6.813

1332

 Phone lines

Logarithmic form

10.12

1.528

4.605

14.11

974

 Domestic credit

Percentage of nominal GDP

22.10

25.24

−1.270

319.5

1066

 FDI inflows

Percentage of nominal GDP

2.130

7.548

−82.89

91.00

948

 Net ODA received

Percentage of nominal GDP

0.125

0.124

0.000

1.471

1180

 Diversification of exports

Logarithmic form

1.444

0.200

0.750

1.810

1291

 Extensive margin

Logarithmic form

−1.786

0.561

−5.116

−1.021

1291

 Intensive margin

Logarithmic form

−6.637

2.782

−9.210

0.000

1291

Lower middle income countries

 GDP per capita

Logarithmic form

7.592

0.566

5.093

9.129

1464

 Human capital

Logarithmic form

5.179

0.262

4.683

5.756

1242

 Terms-of-trade

Logarithmic form

4.611

0.234

2.588

5.513

1462

 Phone lines

Logarithmic form

12.11

2.181

6.214

17.73

1157

 Domestic credit

Percentage of nominal GDP

34.06

20.61

−15.24

164.5

1247

 FDI inflows

Percentage of nominal GDP

2.303

4.049

−25.78

43.13

1087

 Net ODA received

Percentage of nominal GDP

0.058

0.071

0.000

0.545

1316

 Diversification of exports

Logarithmic form

1.303

0.253

0.468

1.827

1508

 Extensive margin

Logarithmic form

−1.542

0.601

−6.907

−1.012

1508

 Intensive margin

Logarithmic form

−5.854

2.475

−9.210

0.000

1508

Upper middle income countries

 GDP per capita

Logarithmic form

8.572

0.526

6.409

9.996

1800

 Human capital

Logarithmic form

5.355

0.224

4.747

5.789

1408

 Terms-of-trade

Logarithmic form

4.587

0.240

2.572

5.388

1800

 Phone lines

Logarithmic form

12.88

2.345

5.560

19.72

1433

 Domestic credit

Percentage of nominal GDP

51.30

35.78

−19.13

212.9

1516

 FDI inflows

Percentage of nominal GDP

3.455

5.806

−55.24

51.89

1288

 Diversification of exports

Logarithmic form

1.203

0.363

0.346

1.862

1864

 Extensive margin

Logarithmic form

−1.452

0.738

−8.517

−1.012

1864

 Intensive margin

Logarithmic form

−5.918

2.297

−9.210

0.000

1864

 GDP per capita

Logarithmic form

9.601

1.011

5.462

15.22

886

 Human capital

Logarithmic form

5.456

0.172

5.016

5.782

632

 Terms-of-trade

Logarithmic form

4.599

0.234

2.684

5.444

880

 Phone lines

Logarithmic form

12.02

1.998

6.214

17.63

728

 Domestic credit

Percentage of nominal GDP

53.99

45.09

−55.36

315.7

712

 Diversification of exports

Logarithmic form

1.302

0.343

0.496

1.862

933

 Extensive margin

Logarithmic form

−1.496

0.740

−9.210

−1.013

933

 Intensive margin

Logarithmic form

−6.009

2.449

−9.210

0.000

933

High income OECD countries

 GDP per capita

Logarithmic form

9.773

0.562

7.001

10.99

1342

 Human capital

Logarithmic form

5.607

0.161

5.050

5.891

1342

 Terms-of-trade

Logarithmic form

4.648

0.118

4.375

5.622

1339

 Domestic credit

Percentage of nominal GDP

90.17

54.14

9.647

330.8

1303

 Diversification of exports

Logarithmic form

0.659

0.333

−0.039

1.573

1336

 Extensive margin

Logarithmic form

−1.120

0.119

−2.210

−1.012

1336

 Intensive margin

Logarithmic form

−4.508

1.271

−9.210

−1.928

1336

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gozgor, G., Can, M. Effects of the product diversification of exports on income at different stages of economic development. Eurasian Bus Rev 6, 215–235 (2016). https://doi.org/10.1007/s40821-016-0045-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40821-016-0045-5

Keywords

JEL Classification

Navigation