Tác động dài hạn của bất bình đẳng thu nhập đến tăng trưởng kinh tế tại các quốc gia trên thế giới: Cách tiếp cận dữ liệu bảng

Đức Võ Hồng; Thắng Nguyễn Công; Anh Võ Thế

doi:10.24311/jabes/2019.30.5.1

Authors

Vo Hong Duc Trường Đại học Mở TP. Hồ Chí Minh Author
Nguyen Cong Thang Trường Đại học Mở TP. Hồ Chí Minh Author
Vo The Anh Trường Đại học Mở TP. Hồ Chí Minh Author

DOI:

https://doi.org/10.24311/jabes/2019.30.5.1

Keywords:

Income inequality, Economic growth, Cointegration test, FMOLS model, DOLS model

Abstract

The relationship between income inequality and economic growth has attracted great attention among scholars. However, a consensus conclusion has not yet reached between researchers in terms of both theoretical and empirical evidence because of the model specifications, estimation techniques, and other factors. There has been an ongoing debate about the measure of income inequality and its long-run relationship. To solve this issue, this study estimates a long-run relationship between income inequality and economic growth based on the standardized updated data of income inequality constructed by Solt (2016) as well as the application of the heterogeneous panel cointegration techniques. It is found that income inequality hinders GDP per capita in low- and middle-income countries, while it increases GDP per capita in high-income countries. The empirical findings have various important policy implications for the relevant countries.

References

Alesina, A., & Rodrik, D. (1994). Distributive politics and economic growth. The Quarerly Journal of Economics, 109(2), 465–490. doi: 10.2307/2118470

Apergis, N., & Payne, J. E. (2014). Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model. Energy Economics, 42, 226–232. doi: 10.1016/j.eneco.2014.01.003

Atkinson, A. B., & Brandolini, A. (2001). Promise and pitfalls in the use of “secondary” data-sets: Income inequality in OECD countries as a case Study. Journal of Economic Literature, 39(3), 771–799. doi: 10.1162/JEEA.2008.6.6.1109

Banerjee, A. V., & Duflo, E. (2003). Inequality and growth: What can the data say?. Journal of Economic Growth, 8(3), 267–299.

Barro, R. J. (2000). Inequality and growth in a panel of countries. Journal of Economic Growth, 5(1), 5–32.

Castelló-Climent, A. (2010). Inequality and growth in advanced economies: An empirical investigation. Journal of Economic Inequality, 8(3), 293–321.

Chen, B.–L. (2003). An inverted-U relationship between inequality and long-run growth. Economics Letters, 78(2), 205–212. doi: 10.1016/S0165-1765(02)00221-5

Clarke, G. R. G. (1995). More evidence on income distribution and growth. Journal of Development Economics, 47(2), 403–427. doi: 10.1016/0304-3878(94)00069-O

de Haan, J., Pleninger, R., & Sturm, J.–E. (2018). Does the impact of financial liberalization on income inequality depend on financial development? Some new evidence. Applied Economics Letters, 25(5), 313–316. doi: 10.1080/13504851.2017.1319554

Deininger, K., & Squire, L. (1996). A new data set measuring income inequality. World Bank Economic Review, 10(3), 565–591.

Deininger, K., & Squire, L. (1998). New ways of looking at old issues: Inequality and growth. Journal of Development Economics, 57(2), 259–287. doi: 10.1016/S0304-3878(98)00099-6

Dogan, E., & Seker, F. (2016). Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy. Renewable Energy, 94, 429–439. doi: 10.1016/j.renene.2016.03.078

Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018). CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions. Energy Economics, 75, 180–192. doi: 10.1016/j.eneco.2018.08.017

Dong, K., Sun, R., & Hochman, G. (2017). Do natural gas and renewable energy consumption lead to less CO2 emission? Empirical evidence from a panel of BRICS countries. Energy, 141, 1466–1478. doi: 10.1016/j.energy.2017.11.092

Fawaz, F., Rahnama, M., & Valcarcel, V. J. (2014). A refinement of the relationship between economic growth and income inequality. Applied Economics, 46(27), 3351–3361. doi: 10.1080/00036846.2014.929624

Forbes, K. J. (2000). A reassessment of the relationship between inequality and growth. American Economic Review, 90(4), 869–887.

Galbraith, J. K., & Kum, H. (2005). Estimating the inequality of household incomes: A statistical approach to the creation of a dense and consistent global data set. Review of Income and Wealth, 51(1), 115–143. doi: 10.1111/j.1475-4991.2005.00147.x

Galor, O., & Moav, O. (2004). From to human capital physical and the accumulation: Inequality process of development. The Review of Economic Studies, 71(4), 1001–1026.

Grijalva, D. F. (2011). Inequality and economic growth: Bridging the short-run and the long-run. Retrieved from: https://pdfs.semanticscholar.org/715a/ 846437571230fa0ab0680ed39bc8af755a7e.pdf

Herrerias, M. J., Joyeux, R., & Girardin, E. (2013). Short- and long-run causality between energy consumption and economic growth: Evidence across regions in China. Applied Energy, 112, 1483–1492. doi: 10.1016/j.apenergy.2013.04.054

Herzer, D., & Vollmer, S. (2012). Inequality and growth: Evidence from panel cointegration. Journal of Economic Inequality, 10(4), 489–503. doi: 10.1007/s10888-011-9171-6

Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1–44. doi: 10.1016/S0304-4076(98)00023-2

Kao, C., & Chiang, M. H. (2000). On the estimation and inference of a cointegrated regression in panel data. In Nonstationary Panels, Panel Cointegration, and Dynamic Panels (pp. 179–222). Emerald Group Publishing Limited.

Kim, J.–H. (2016). A study on the effect of financial inclusion on the relationship between income unequality and economic growth. Emerging Markets Finance and Trade, 52(2), 498–512. doi: 10.1080/1540496X.2016.1110467

Kuznets, S. (1955). Economic growth and income inequality. American Economic Review, 45(1), 1–28.

Li, H., & Zou, H. (1998). Income inequality is not harmful for growth: Theory and evidence. Review of Development Economics, 2(3), 318–334. doi: 10.1111/1467-9361.00045

Lin, Y. C., Huang, H. C., & Yeh, C. C. (2014). Inequality-growth nexus along the development process. Studies in Nonlinear Dynamics and Econometrics, 18(3), 237–252. doi: 10.1515/snde-2012-0037.

Madsen, J. B., Islam, M. R., & Doucouliagos, H. (2018). Inequality, financial development and economic growth in the OECD, 1870–2011. European Economic Review, 101, 605–624. doi: 10.1016/j.euroecorev.2017.11.004

Malinen, T. (2012). Inequality and growth: Another look with a new measure and method. Journal of International Development, 25(1), 122–138. doi: 10.1002/jid

Moutinho, V., & Robaina, M. (2016). Is the share of renewable energy sources determining the CO2 kWh and income relation in electricity generation?. Renewable and Sustainable Energy Reviews, 65, 902–914. doi: 10.1016/j.rser.2016.07.007

Neves, P. C., Afonso, Ó., & Silva, S. T. (2016). A meta-analytic reassessment of the effects of inequality on growth. World Development, 78, 386–400. doi: 10.1016/j.worlddev.2015.10.038

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

Pedroni, P. (2001). Fully modified OLS for heterogeneous cointegrated panels. In Nonstationary Panels, Panel Cointegration, and Dynamic Panels (pp. 93–130). Emerald Group Publishing Limited.

Perotti, R. (1996). Growth, income distribution, and democracy: What the data say. Journal of Economic Growth, 1(2), 149–187.

Persson, T., & Tabellini, G. (1994). Is inequality harmful for growth?. The American Economic Review, 84(3), 600–621.

Pesaran, H. (2003). A simple panel unit root test in the presence of cross section dependence. Cambridge Working Papers in Economics 0346, Faculty of Economics (DAE). University of Cambridge

Risso, W. A., Punzo, L. F., & Carrera, E. J. S. (2013). Economic growth and income distribution in Mexico: A cointegration exercise. Economic Modelling, 35, 708–714. doi: 10.1016/j.econmod.2013.08.036

Rubin, A., & Segal, D. (2015). The effects of economic growth on income inequality in the US. Journal of Macroeconomics, 45, 258–273. doi: 10.1016/j.jmacro.2015.05.007

Solt, F. (2016). The standardized world income inequality database. Social Science Quarterly, 97(5), 1267–1281. doi: 10.1111/ssqu.12295

Szirmai, A., & Verspagen, B. (2015). Manufacturing and economic growth in developing countries, 1950–2005. Structural Change and Economic Dynamics, 34, 46–59. doi: 10.1016/j.strueco.2015.06.002

Vo, D. H., Nguyen, T. C., Tran, N. P., & Vo, A. T. (2019). What factors affect income inequality and economic growth in middle-income countries?. Journal of Risk and Financial Management, 12(1), 40. doi: 10.3390/jrfm12010040

Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709–748. doi: 10.1111/j.1468-0084.2007.00477.x

Yang, Y., & Greaney, T. M. (2017). Economic growth and income inequality in the Asia-Pacific region: A comparative study of China, Japan, South Korea, and the United States. Journal of Asian Economics, 48, 6–22. doi: 10.1016/j.asieco.2016.10.008

Zoundi, Z. (2017). CO2 emissions, renewable energy and the environmental Kuznets curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews, 72, 1067–1075. doi: 10.1016/j.rser.2016.10.018