Convergence Hypothesis and Economic Growth in ECO Countries: An Insight from MM-QR Approach

Authors

  • Muhammad Ramzan Sheikh Professor of Economics, School of Economics, Bahauddin Zakariya University Multan, Pakistan Author
  • Iram Mushtaq MPhil Scholar, School of Economics, Bahauddin Zakariya University Multan, Pakistan Author
  • Asad Abbas Lecturer in Economics, Department of Economics, COMSATS University Islamabad Vehari Campus, Pakistan Author
  • Sana Sultan PhD Student, School of Economics, Bahauddin Zakariya University, Multan, Pakistan Author

DOI:

https://doi.org/10.61506/01.00213

Keywords:

GDP growth, Gross fixed capital formation, Secondary school enrollment, Life expectancy, Effective rate of deprecation

Abstract

This study assesses the convergence hypothesis and economic growth in ECO countries spanning from 1990 to 2021. Employing the MM-QR technique, it investigates the relationship between various factors and GDP growth. The study incorporates gross fixed capital formation, life expectancy, the effective rate of depreciation, secondary school enrollment, and the initial logarithm of GDP per capita as independent variables, with GDP growth as the dependent variable. Two distinct measures are employed: absolute convergence and relative convergence. Absolute convergence analysis reveals a positive and statistically significant trend. It indicates that poorer nations are experiencing higher growth rates compared to their wealthier counterparts. Moreover, the study investigates sigma convergence, explaining that the standard deviation of per capita income during the first and second decades signifies the existence of sigma convergence. However, during the third decade, although sigma convergence persists, it lies between the levels observed in the first and second decades. The study points out the significance of implementing pertinent policies to bolster GDP growth. It emphasizes the need for targeted strategies aimed at fostering economic development within the ECO countries.

References

th International Conference, The Economies of Balkan and Eastern Europe Countries in the changed world, EBEEC 2015, May 8-10, 2015

Abdullah, M., Shoukat, A., & Mahmood, H. (2021). CPEC: Analyzing the Mediating Role of Infrastructure for Regional Economic Integration. Bulletin of Business and Economics (BBE), 10(3), 8-16.

Ali, A., Hasan, Z. U., Abbasi, Q., & Sulehri, F. A. (2023). Business or Politics: Exploring the Determinants of Policy Mix in South Asia. Bulletin of Business and Economics (BBE), 12(3), 114-123.

Altıntaş, H., & Kassouri, Y. (2020). Is the environmental Kuznets Curve in Europe related to the per-capita ecological footprint or CO2 emissions?. Ecological indicators, 113, 106187.

Audi, M., Poulin, M., & Ali, A. (2023). Determinants of Human Wellbeing and its Prospect Under the Role of Financial Inclusion in South Asian Countries. Journal of Applied Economic Sciences, 18(4).

Bai, C., Feng, C., Du, K., Wang, Y., & Gong, Y. (2020). Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis. Energy Policy, 143, 111570.

Bersvendsen, T., & Ditzen, J. (2020). Xthst: Testing for slope homogeneity in Stata. Stata J.

Bhattacharya, M., Inekwe, J. N., & Sandusky, P. (2020). Convergence of energy productivity in Australian states and territories: determinants and forecasts. Energy economics, 85, 104538.

Bonnefond, C. (2014). Growth dynamics and conditional convergence among Chinese provinces: a panel data investigation using system GMM estimator. Journal of Economic Development, 39(4), 1.

Butnaru, G. I., Haller, A. P., Clipa, R. I., Ștefănică, M., & Ifrim, M. (2020). The nexus between convergence of conventional and renewable energy consumption in the present European Union states. Explorative study on parametric and semi-parametric methods. Energies, 13(20), 5272.

Churchill, S. A., Inekwe, J., & Ivanovski, K. (2020). Stochastic convergence in per capita CO2 emissions: evidence from emerging economies, 1921–2014. Energy economics, 86, 104659.

Churchill, S. A., Inekwe, J., & Ivanovski, K. (2020). Stochastic convergence in per capita CO2 emissions: evidence from emerging economies, 1921–2014. Energy economics, 86, 104659.

Delgado, M., Porter, M. E., & Stern, S. (2014). Clusters, convergence, and economic performance. Research policy, 43(10), 1785-1799.

Dowrick, S., & Nguyen, D. T. (1989). OECD comparative economic growth 1950-85: catch-up and convergence. The American economic Review, 1010-1030.

Fung, M. K. (2009). Financial development and economic growth: convergence or divergence?. Journal of international money and finance, 28(1), 56-67.

Gaulier, G., Hurlin, C., & Jean-Pierre, P. (1999). Testing convergence: A panel data approach. Annales d'Économie et de Statistique, 411-427.

Gömleksiz, M., Şahbaz, A., & Mercan, B. (2017). Regional economic convergence in Turkey: Does the government really matter for?. Economies, 5(3), 27.

Haller, A. P., Butnaru, G. I., Hârșan, G. D. T., & Ştefănică, M. (2021). The relationship between tourism and economic growth in the EU-28. Is there a tendency towards convergence?. Economic Research-Ekonomska Istraživanja, 34(1), 1121-1145.

Hussain, B., Rizwan, M., & Anwar, S. Estimating Convergence (and Divergence) among Developing, Emerging and Developed Economies.

Iqbal, Z., & Zahid, G. M. (1998). Macroeconomic determinants of economic growth in Pakistan. The Pakistan Development Review, 125-148.

Kaitila, V. (2004). Integration and conditional convergence in the enlarged EU area (No. 935). ETLA Discussion Papers.

Karagiannis, S. (2007). The knowledge-based economy, convergence and economic growth: Evidence from the European Union. The Journal of Economic Asymmetries, 4(2), 65-85.

Karhan, G. (2017). Investing in Research and Development for Technological Innovation: A Strategy for Turkey’s Economic Growth. Journal of Business and Economic Options, 4(4), 65-71.

Lall, S. V., & Yilmaz, S. (2001). Regional economic convergence: Do policy instruments make a difference?. The annals of regional science, 35(1), 153-166.

Li, W., Zhao, T., Wang, Y., Zheng, X., & Yang, J. (2019). How does foreign direct investment influence energy intensity convergence in China? Evidence from prefecture-level data. Journal of cleaner production, 219, 57-65.

Li, Y., Wang, J., & Oh, K. (2022). Effects of Globalization on the Convergence of Poverty Levels among Asian Countries. International Economic Journal, 1-13.

Malik, F. (2017). Exchange Rate Regimes and Economic Dynamics: Insights from Pakistan. Journal of Business and Economic Options, 4(3), 55-64.

Michelis, L., Papadopoulos, A. P., & Papanikos, G. T. (2004). Regional convergence in Greece in the 1980s: an econometric investigation. Applied Economics, 36(8), 881-888.

Nahar, S., & Inder, B. (2002). Testing convergence in economic growth for OECD countries. Applied Economics, 34(16), 2011-2022.

Neven, D., & Gouymte, C. (1995). Regional convergence in the European Community. JCMS: Journal of Common Market Studies, 33(1), 47-65.

Orphanides, A., & Norden, S. V. (2002). The unreliability of output-gap estimates in real time. Review of economics and statistics, 84(4), 569-583.

Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and statistics, 61(S1), 653-670.

Pesaran, M. H. (2015). Testing weak cross-sectional dependence in large panels. Econometric reviews, 34(6-10), 1089-1117.

Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of econometrics, 142(1), 50-93.

Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The econometrics journal, 11(1), 105-127.

Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The econometrics journal, 11(1), 105-127.

Rapacki, R., & Próchniak, M. (2009). Real beta and sigma convergence in 27 transition countries, 1990–2005. Post-Communist Economies, 21(3), 307-326.

Sharma, R. (2018). Health and economic growth: Evidence from dynamic panel data of 143 years. PloS one, 13(10), e0204940.

Sun, H., Kporsu, A. K., Taghizadeh-Hesary, F., & Edziah, B. K. (2020). Estimating environmental efficiency and convergence: 1980 to 2016. Energy, 208, 118224.

Unal, U. (2014). Economic Growth and Convergence across the OIC Countries.

Wang, S. L., Huang, J., Wang, X., & Tuan, F. (2019). Are China’s regional agricultural productivities converging: How and why?. Food Policy, 86, 101727.

Westerlund, J., Hosseinkouchack, M., & Solberger, M. (2016). The local power of the CADF and CIPS panel unit root tests. Econometric Reviews, 35(5), 845-870.

Zhang, H., Geng, Z., Yin, R., & Zhang, W. (2020). Regional differences and convergence tendency of green development competitiveness in China. Journal of Cleaner Production, 254, 119922.

Zhao, X., Zhang, X., Li, N., Shao, S., & Geng, Y. (2017). Decoupling economic growth from carbon dioxide emissions in China: a sectoral factor decomposition analysis. Journal of Cleaner Production, 142, 3500-3516.

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Published

2024-03-27

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How to Cite

Sheikh, M. R., Mushtaq, I. ., Abbas, A. ., & Sultan, S. . (2024). Convergence Hypothesis and Economic Growth in ECO Countries: An Insight from MM-QR Approach. Bulletin of Business and Economics (BBE), 13(1). https://doi.org/10.61506/01.00213

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