Model of Comparative Growth

The following sample essay on “Model of Comparative Growth” talks about on the Solow growth model frequently mentions the term convergence. The paper also focuses on the advantages and disadvantages of the method.

Introduction

Economic studies based on the Solow growth model frequently mentions the term convergence. Barro and Salla-i-Martin says if several different economies who have the same preferences and technology, given to the existence of diminishing marginal returns in the use of accumulating factors, such as capital would grow at its own steady-state however, at the same time, difference in income per capita income would tend to diminish.

(Sala-i-Martin, 1995.)

This theory predicts an ongoing process of catching up, called conditional convergence or sigma-convergence. The second definition is said to be when rich and poor countries reach the same steady state of income level, meaning absolute convergence, i.e. beta-convergence. (Sala-i-Martin, 1996) (Galor, 1996)

Penn World Tables

William Baumols study in 1986 empirically analyses the convergence hypothesis against 16 different industrialised countries. He argued that industrial counties have converged by showing strong GDP since the year 1870.

Baumol regressed real GDP per capita over that period over a constant and the initial output per capita in 1870. (Baumol, 1986)

Here we investigate growth rate between seven out of twenty original countries from the organisation for economic co-operation development (OECD). Six of these were part of Baumols 16 countries he researched. The six include Austria Denmark Finland France Germany and Italy. Ireland is the seventh country.

Normally western developed countries are expected to have similar institutions and a steady growth rate, but this is not the case.

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From the graph on page 2 convergence has occurred. This is where the poorer developed countries from the start of 1950 caught up with the previously advanced countries such Austria, France and Denmark, while places like Italy were relatively close to Irelands GDP in 1950. Italy and Ireland will not cross paths again until 2001 when Ireland surpasses Italy in growth and continues to do so towards 2016.

It can be inferred that conditional convergence has occurred in these seven nations. In theory, it is believed these economies normally encounter beta-convergence but other factors such as the populace and investment are held constant at a steady state. In reality they are not being held constant, which results in Irelands GDP to soar.

Advantages

Many arguments arise after researchers suggest countries who have low earning wages may have a future advantage in terms of worker productivity and economic growth. (Taylor, 2014) The first argument is focused on the law of diminishing marginal returns, meaning that as an economy invests and profits from their initial investment, its value will decrease as time goes by as they becomes more developed. (Investopedia, 2019)

Every time a country invests in capital, technology etc., they profit from it less as time goes by from their original purchase. In effect, richer economies who are already rich in capital will not see drastic growth in their economy in comparison to investment poor counties. (Investopedia, 2019)

Poorer countries are at an upper hand as they can replicate the production methods, technologies and institutions of developed countries. This is due to the developing economies having access to the technological know-how of the advanced nations, and as a result, they often experience rapid rates of growth. (Barkhordari, et al., 2018)

Developing nations can enhance their catch-up effect by opening-up their economy to free trade and developing social capabilities or capacity to ingest innovation, pull in capital and take an interest in worldwide markets. (Lechman, 2015)

This can be seen after 1973 when Ireland joined the European Union where free trading occurs, opening them up as a potential trading partner in a large-scale market. As more countries joined the EU, the more markets that availed to Irelands growth as an economy. This factor already existed in many of the land locked European countries as movement of goods from places like Austria, Denmark Germany, Italy and France are a lot easier and cheaper pre-European Union times.

Disadvantages

Limitations to convergence however, although developing countries can see faster economic growth than more economically advanced countries, the restriction posed by a lack of capital can greatly reduce a developing countrys ability to catch up.

According to longitudinal studies by economist Jeffery Sachs and Andrew Warner, National economic policies on free trade and openness play a significant role in the catch-up effect of convergence to manifest. (Sachs & Warner, 1995)

Historically some developing countries have been successful in managing resources and securing capital to effectively increase economic productivity. Nevertheless, this has not become the norm on a global scale.

Economist Moses Abramowitz wrote about the limitations of convergence. He stated that for countries to benefit from the catch-up effect, they would need to develop and leverage what is he said to be social capabilities. (Abramovitz, 1986) These include the ability to absorb new technologies, attract capital and participate in the global markets. This means that if technology is not freely traded or is prohibitively expensive, then convergence will not occur.

It must be highlighted that the exogenous growth theory has serious disadvantages when empirically examined. This rudimentary flaw is that the entire notion of convergence (i.e. absolute/beta convergence) is not clearly defined and tends to be confused with catching-up, i.e. conditional/sigma convergence. (Abramovitz, 1976)

Another downfall when testing this theory is that data collected is cross-sectionally examined. Issues in both cases is that results dont allows us to make a distinction between the short term and the long term. The results do not tell us about the process profile and doesnt distinguishes between absolute convergence or catching up.

The final issue of convergence arises when trying to describe the null hypothesis. When analysing the null hypothesis, it supports that all economies converge without taking intermediary elements into examination.

Conclusion

The hypothesis that GDP per capita and income levels within these OECD countries have converged significantly in the post-war time frame. Although convergence has been weak since 1973 and evidence of systematic income convergence since 1950 is dependent on this sample selection, total factor of productivity catch-up stands out as the prevailing trend. This result still stands when we control for potential data bias due to cyclical differences, different measures of purchasing power parity, potential errors in the backward projection of income levels and sample selection bias. A simple model of comparative growth, incorporating TFPs catching up as a main element is statistically sound and exhibits parameter stability.

References

1. Abramovitz, M., 1976. Rapid growth potential and its realisation; the experience of the capitalist economies in the post war period. In Edmond Melinvaud, ed, Economic growth and resources, London: Proceeding of the fifth world congress of the International Economic Association.
2. Abramovitz, M., 1986. Catching up; forging ahead and falling behind. Journal of Economic History, 46(1), pp. 385-406.
3. Barkhordari, S., Fattahi, M. & Azimi, N. A., 2018. The impact of knowledge-based economy on growth performance; evidence from MENA countries. Journal of the Knowlege Economy, 10(3), pp. 1168-1182.
4. Baumol, W., 1986. Productivity growth; convergence and welfare; what the long run data show. American Economic Review., 76(1), pp. 1072-85.
5. Feenstra, R., Inklaar, R. & Timmer, M., 2015. The next generation of Penn World Table. American Economic Review, 105(10), pp. 3150-3182.
6. Galor, O., 1996. Convergence? Inferences from Theoretical Models. The Economic Journal, 106(437), p. 1056–1069.
7. Investopedia, 2019. Catch-up Effect. [Online] Available at: [Accessed 08 11 2019].
8. Lechman, E., 2015. In: Technology Diffusion. s.l.:Springer, Cham, pp. 29-82.
9. Sachs, J. D. & Warner, A. M., 1995. Economic convergence and economic policies (No. w5039).. National Bureau of Economic Research.
10. Sala-i-Martin, X. a. B. R., 1995.. Technological diffusion, convergence, and growth (No. 735).. Center Discussion Paper.
11. Sala-i-Martin, X. X., 1996. The classical approach to convergence analysis. The Economic Journal., 106(437), pp. 1019-10036.
12. Taylor, T., 2014. Chapter 20.4 Convergence. In: R. U. Openstax College, ed. The Principles of Economics. Houston: Openstax College, Rice University,, p. 830.