El papel de las tecnologías de la información y la comunicación (TIC) en la relación entre asimetría de la información y desarrollo financiero: nuevas pruebas basadas en el modelo PSTR

Autores/as

DOI:

https://doi.org/10.46661/rev.metodoscuant.econ.empresa.6999

Palabras clave:

Tecnología de información y comunicación, desarrollo financiero, asimetría en la información, oficinas de información compartida, regresión de transición suave de panel

Resumen

Las tecnologías de la información y la comunicación (TIC) tienen potencial para complementar a las oficinas de intercambio de información (OIC) en la reducción de la asimetría de la información (AI) para mejorar el desarrollo financiero. Utilizando las TIC como variable de transición, esta investigación emplea el modelo de regresión de transición suave de panel (PSTR) para examinar la influencia de la AI en el desarrollo financiero de 33 países menos adelantados (PMA) durante el periodo 2000-2021. Los resultados indican que el AI y el desarrollo financiero tienen un nexo no lineal.  Cuando la TIC está por debajo del valor umbral, la PCR tiene un impacto negativo en el desarrollo financiero. En cambio, cuando las TIC superan el umbral, es decir, en el régimen alto, el coeficiente es positivo. Esto significa que el efecto negativo de la PCR sobre el desarrollo financiero se compensa e incluso se convierte en positivo a medida que aumentan las TIC. La PCB tiene un efecto positivo en el desarrollo financiero tanto en el régimen de TIC bajo como en el alto. Con el traspaso del umbral de TIC, crece el impacto favorable de la PCB en la reducción del AI en la dirección del desarrollo financiero. La implicación oculta es que PCR y PCB (con IA decreciente) promueven el desarrollo financiero, cuando las TIC están en un nivel alto. En otras palabras, las TIC podrían complementar las características de la RCP y el PCB para reducir el AI y aumentar el desarrollo financiero.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Aboody, D., & Lev, B. (2000). Information asymmetry, R&D, and insider gains. The journal of Finance, 55(6), 2747-2766.

https://doi.org/10.1111/0022-1082.00305 DOI: https://doi.org/10.1111/0022-1082.00305

Akerlof, G. A. (1970). Quality uncertainty and the. The quarterly journal of economics, 84(3), 488-500.

https://doi.org/10.2307/1879431 DOI: https://doi.org/10.2307/1879431

Akerlof, G., Spence, M., & Stiglitz, J. (2001). Information asymmetry at the heart of the new microeconomics.. Problemes economiques, 19-24.

Allen, F., Otchere, I., & Senbet, L. W. (2011), African financial systems: a review, Review of Development Finance, 1(2), pp. 79-113.

https://doi.org/10.1016/j.rdf.2011.03.003 DOI: https://doi.org/10.1016/j.rdf.2011.03.003

Asongu, S. (2015). The impact of mobile phone penetration on African inequality. International Journal of Social Economics, 42(8), 706-716.

https://doi.org/10.1108/IJSE-11-2012-0228 DOI: https://doi.org/10.1108/IJSE-11-2012-0228

Asongu, S. A., & Moulin, B. (2016). The role of ICT in reducing information asymmetry for financial access. Research in International Business and Finance, 38, 202-213.

https://doi.org/10.1016/j.ribaf.2016.04.011 DOI: https://doi.org/10.1016/j.ribaf.2016.04.011

Asongu, S. A., Nwachukwu, J. C., & Tchamyou, V. S. (2016). Information asymmetry and financial development dynamics in Africa. Review of Development Finance, 6(2), 126-138.

https://doi.org/10.1016/j.rdf.2016.09.001 DOI: https://doi.org/10.1016/j.rdf.2016.09.001

Asongu, S., & Nnanna, J. (2018). ICT in reducing information asymmetry for financial sector competition. DBN Journal of Economics and Sustainable Growth (Forthcoming), AGDI Working Paper No. WP/18/035.

https://doi.org/10.2139/ssrn.3265094 DOI: https://doi.org/10.2139/ssrn.3265094

Asongu, S., Le Roux, S., Nwachukwu, J., & Pyke, C. (2019). Reducing Information Asymmetry with ICT: A critical review of loan price and quantity effects in Africa. International Journal of Managerial Finance. Vol. 15 No. 2, 130-163. https://doi.org/10.1108/IJMF-01-2018-0027 DOI: https://doi.org/10.1108/IJMF-01-2018-0027

Bacon, D. W., & Watts, D. G. (1971). Estimating the Transition between Two Intersecting Straight Lines. Biometrika, 58(3), 525-534. https://doi.org/10.2307/2334387 DOI: https://doi.org/10.1093/biomet/58.3.525

Baltagi, B. H., Bratberg, E., & Holmås, T. H. (2005). A panel data study of physicians' labor supply: the case of Norway. Health Economics, 14(10), 1035-1045.

https://doi.org/10.1002/hec.991 DOI: https://doi.org/10.1002/hec.991

Baltagi, B. H., and Q. Li (1995). Testing AR (1) against MA (1) disturbances in an error component model. Journal of Econometrics, Volume 68, Issue 1, 133-151.

https://doi.org/10.1016/0304-4076(94)01646-H DOI: https://doi.org/10.1016/0304-4076(94)01646-H

Batuo, E., & Kupukile, M. (2010). How can economic and political liberalisation improve financial development in African countries? Journal of Financial Economic Policy, 2(May), 35-59. 10.1108/17576381080001419

https://doi.org/10.1108/17576381080001419 DOI: https://doi.org/10.1108/17576381080001419

Bayram, Ö. G., & Demirtel, H. (2014). Effect of ICT on information sharing in enterprises: The case of Ministry of Development. Volume One, 94.

Colletaz, G. and Hurlin, C. (2006). Threshold Effects of the Public Capital Productivity: An

International Panel Smooth Transition Approach. Working Paper, 1/2006, LEO, Université d'Orléans.

Diamond, D. W. (1984). Financial intermediation and delegated monitoring. The review of economic studies, 51(3), 393-414.

https://doi.org/10.2307/2297430 DOI: https://doi.org/10.2307/2297430

Diamond, D. W., & Dybvig, P. H. (1983). Bank runs, deposit insurance, and liquidity. Journal of political economy, 91(3), 401-419.

https://doi.org/10.1086/261155 DOI: https://doi.org/10.1086/261155

Do, Q. T., & Levchenko, A. A. (2004). Trade and financial development. Available at SSRN 610391.

https://doi.org/10.1596/1813-9450-3347 DOI: https://doi.org/10.1596/1813-9450-3347

Domowitz, I. (2002). Liquidity, transaction costs, and reintermediation in electronic markets. Journal of Financial Services Research, 22(1-2), 141-157.

https://doi.org/10.1023/A:1016077023185 DOI: https://doi.org/10.1023/A:1016077023185

Eitrheim, Ø., & Teräsvirta, T. (1996). Testing the adequacy of smooth transition autoregressive models. Journal of Econometrics, 74(1), 59-75.

https://doi.org/10.1016/0304-4076(95)01751-8 DOI: https://doi.org/10.1016/0304-4076(95)01751-8

Fok, D., van Dijk, D. & Franses, P. (2005). A Multi-Level Panel STAR Model for US Manufacturing Sectors, Journal of Applied Econometrics, 20(6), 811-827

https://doi.org/10.1002/jae.822 DOI: https://doi.org/10.1002/jae.822

Fouquau, J., Hurlin, C., & Rabaud, I. (2008). The Feldstein-Horioka puzzle: A panel smooth transition regression approach. Economic Modelling, 25(2), 284-299.

https://doi.org/10.1016/j.econmod.2007.06.008 DOI: https://doi.org/10.1016/j.econmod.2007.06.008

Galindo, A., & Miller, M. (2001). Can credit registries reduce credit constraints? Empirical evidence on the role of credit registries in firm investment decisions. In Annual Meetings of the Inter-American Development Bank, Santiago Chile.

Geng, N. (2011). The dynamics of market structure and firm-level adjustment to India's pro-market economic liberalizing reforms, 1988-2006: A Time Varying Panel Smooth Transition Regression (TV-PSTR) approach. International Review of Economics & Finance, 20(4), 506-519.

https://doi.org/10.1016/j.iref.2010.09.007 DOI: https://doi.org/10.1016/j.iref.2010.09.007

Gonzalez, A. Terasvirta, T. & van Dijk, D. , & Yang, Y. (2017). Panel smooth transition regression model. SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics.

Greenwood, J., & Jovanovic, B. (1990). Financial development, growth, and the distribution of income. Journal of Political Economy, 98(5 Part 1), 1076-1107.

https://doi.org/10.1086/261720 DOI: https://doi.org/10.1086/261720

Gries, T., Kraft, M., & Meierrieks, D. (2009). Linkages between financial deepening, trade openness, and economic development: Causality evidence from Sub-Saharan Africa. World Development, 37(12), 1849-1860.

https://doi.org/10.1016/j.worlddev.2009.05.008 DOI: https://doi.org/10.1016/j.worlddev.2009.05.008

Hansen, B. E. (1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of econometrics, 93(2), 345-368.

https://doi.org/10.1016/S0304-4076(99)00025-1 DOI: https://doi.org/10.1016/S0304-4076(99)00025-1

Huang, Y., & Temple, J. R. (2005). Does external trade promote financial development?. Bristol Economics Discussion Papers 05/575, School of Economics, University of Bristol, UK.

Ibrahim, M., & Alagidede, P. (2017). Financial Development, Growth Volatility and Information Asymmetry in Sub‐Saharan Africa: Does Law Matter? South African Journal of Economics, 85(4), 570-588.

https://doi.org/10.1111/saje.12176 DOI: https://doi.org/10.1111/saje.12176

International Telecommunication Union (ITU). Measuring the Information Society Report. (2017). Volume 1,

Jappelli, T., & Pagano, M. (2002). Information sharing, lending and defaults: Cross-country evidence. Journal of Banking & Finance, 26(10), 2017-2045.

https://doi.org/10.1016/S0378-4266(01)00185-6 DOI: https://doi.org/10.1016/S0378-4266(01)00185-6

Jiang, L., & Kim, J. B. (2004). Foreign equity ownership and information asymmetry: Evidence from Japan. Journal of International Financial Management & Accounting, 15(3), 185-211.

https://doi.org/10.1111/j.1467-646X.2004.00107.x DOI: https://doi.org/10.1111/j.1467-646X.2004.00107.x

Jude, E. C. (2010). Financial development and growth: A panel smooth regression approach. Journal of Economic Development, 35(1), 15.

https://doi.org/10.35866/caujed.2010.35.1.002 DOI: https://doi.org/10.35866/caujed.2010.35.1.002

Kim, D. H., Lin, S. C., & Suen, Y. B. (2010). Dynamic effects of trade openness on financial development. Economic Modelling, 27(1), 254-261.

https://doi.org/10.1016/j.econmod.2009.09.005 DOI: https://doi.org/10.1016/j.econmod.2009.09.005

Leitão, N. C. (2012). Bank credit and economic growth: A dynamic panel data analysis. Economic Research Guardian, 256-267.

Levine, R. (1997). Financial development and economic growth: views and agenda. Journal of Economic Literature, 35(2), 688-726.

Levine, R. (2005). Finance and growth: theory and evidence. Handbook of economic growth, 1, 865-934.

https://doi.org/10.1016/S1574-0684(05)01012-9 DOI: https://doi.org/10.1016/S1574-0684(05)01012-9

Love, I., & Mylenko, N. (2003). Credit reporting and financing constraints (No. 3142). World Bank Publications.

https://doi.org/10.1596/1813-9450-3142 DOI: https://doi.org/10.1596/1813-9450-3142

Luukkonen, R., Saikkonen, P., & Teräsvirta, T. (1988). Testing linearity in univariate time series models. Scandinavian Journal of Statistics, Vol. 15, No. 3, pp. 161-175

Mylenko, N. (2008). Developing credit reporting in Africa: opportunities and challenges. In African Finance for the 21st Century, High Level Seminar Organized by the IMF Institute in collaboration with the Joint Africa Institute, Tunis, Tunisia.

Nan, S., Huang, J., Wu, J., & Li, C. (2022a). Does globalization change the renewable energy consumption and CO2 emissions nexus for OECD countries? New evidence based on the nonlinear PSTR model. Energy Strategy Reviews, 44, 100995.

https://doi.org/10.1016/j.esr.2022.100995 DOI: https://doi.org/10.1016/j.esr.2022.100995

Nan, S., Wang, Z., Wang, J., & Wu, J. (2022b). Investigating the Role of Green Innovation in Economic Growth and Carbon Emissions Nexus for China: New Evidence Based on the PSTR Model. Sustainability, 14(24), 16369.

https://doi.org/10.3390/su142416369 DOI: https://doi.org/10.3390/su142416369

Pénard, T., Poussing, N., Zomo Yebe, G., & Ella, N. (2012). Comparing the determinants of internet and cell phone use in Africa: evidence from Gabon. Communications & Strategies, (86), 65-83.

Pesaran, M. H. (2003). Estimation and inference in large heterogenous panels with cross section dependence. Available at SSRN 385123.

https://doi.org/10.2139/ssrn.385123 DOI: https://doi.org/10.2139/ssrn.385123

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

https://doi.org/10.1080/07474938.2014.956623 DOI: https://doi.org/10.1080/07474938.2014.956623

Purcell, F., & Toland, J. (2003). E‐Finance for Development: Global Trends, National Experience and SMEs. The Electronic Journal of Information Systems in Developing Countries, 11(1), 1-4.

https://doi.org/10.1002/j.1681-4835.2003.tb00069.x DOI: https://doi.org/10.1002/j.1681-4835.2003.tb00069.x

Rezagholizadeh, M., & Abdi, Y. (2022). Financial development and development of renewable energy technologies: A comparison of developing and developed countries. ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. (1), pages 95-118.

https://doi.org/10.3280/EFE2022-001006 DOI: https://doi.org/10.3280/EFE2022-001006

Saint-Paul, G. (1992). Fiscal policy in an endogenous growth model. The Quarterly Journal of Economics, 107(4), 1243-1259.

https://doi.org/10.2307/2118387 DOI: https://doi.org/10.2307/2118387

Tchamyou, V. S., & Asongu, S. A. (2017). Information sharing and financial sector development in Africa. Journal of African Business, 18(1), 24-49.

https://doi.org/10.1080/15228916.2016.1216233 DOI: https://doi.org/10.1080/15228916.2016.1216233

Seleteng, M., Bittencourt, M., and Van Eyden, R. (2013). Non- Linearities in inflation- growth nexus in the SADC region: A panel smooth transition regression approach. Economic Modelling, 30, 149-156.

https://doi.org/10.1016/j.econmod.2012.09.028 DOI: https://doi.org/10.1016/j.econmod.2012.09.028

Teräsvirta, T. (1996). Modelling economic relationships with smooth transition regressions (No. 131). Stockholm School of Economics.

Thuy, D. P., Nguyen Trong, H. (2021). Impacts of openness on financial development in developing countries: Using a Bayesian model averaging approach. Cogent Economics & Finance, 9(1), 1937848.

https://doi.org/10.1080/23322039.2021.1937848 DOI: https://doi.org/10.1080/23322039.2021.1937848

Triki, T., & Gajigo, O. (2014). Credit bureaus and registries and access to finance: new evidence from 42 African countries. Journal of African Development, 16(2), 73-101.

https://doi.org/10.5325/jafrideve.16.2.0073 DOI: https://doi.org/10.5325/jafrideve.16.2.0073

United Nations. Least Developed Countries (LDCs). (2022).

Descargas

Publicado

2024-12-03

Cómo citar

Rezagholizadeh, M., Aghaei, M., & Kebria, A. A. (2024). El papel de las tecnologías de la información y la comunicación (TIC) en la relación entre asimetría de la información y desarrollo financiero: nuevas pruebas basadas en el modelo PSTR. Revista De Métodos Cuantitativos Para La Economía Y La Empresa, 38, 1–21. https://doi.org/10.46661/rev.metodoscuant.econ.empresa.6999

Número

Sección

Artículos