Revelando la dependencia: Una mirada crítica a la autonomía del banco central de angola
Resumen
El estudio adopta un enfoque vinculado al Banco Nacional de Angola, sobre la autonomía y dependencia del Banco Central de Angola, destacando su objetivo de examinar la relación entre las reservas internacionales del Banco Central de Angola (CBIR) y el relación entre el PIB y la tasa de crecimiento económico, mediante la realización de un extenso análisis de series temporales de 1990 a 2023. El estudio tiene como objetivo identificar los vínculos a corto plazo y la dinámica de equilibrio a largo plazo en el panorama económico de Angola, centrándose en la comprensión de la dinámica compleja de estas variables. Los resultados muestran fuertes correlaciones de corto plazo entre el CBIR, el ratio del PIB y la tasa de crecimiento económico, lo que sugiere posibles procesos de ajuste e interacciones entre estas variables. Además, el análisis de las relaciones de equilibrio de largo plazo revela fuertes correlaciones entre el PIB y la relación CBIR, lo que indica una relación notable y afirmativa y su relación con el desempeño macroeconómico se ha concentrado en los mercados emergentes de Asia y América Latina, así como en los principales países. Naciones industrializadas. El estudio de correlación destaca la complejidad de la dinámica económica de Angola y revela sólo pequeñas conexiones entre las variables. Estas revelaciones tienen importantes ramificaciones para los académicos y políticos que quieren apoyar el desarrollo económico sostenible de Angola.
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Acemoğlu, D. (2008). When does policy reform work?: The case of central bank independence. Brookings Papers on Economic Activity, 1, 351–418. https://doi.org/10.1353/eca.0.0002.
Bodea, C. & Hicks, R. (2014). Price stability and central bank independence: discipline, credibility, and democratic institutions. International Organization, 69(1), 35–61. https://doi.org/10.1017/s0020818314000277.
Carmody, P., Kragelund, P., & Riberedo, R. (2020). Africa’s shadow Rise: China and the mirage of African economic development.
https://forskning.ruc.dk/da/publications/africas-shadow-rise-china-and-the-mirage-of-african-economic-deve.
Conti‐Brown, P. & Lastra, R.M. (2018). Research Handbook on Central Banking. Edward Elgar Publishing eBooks. https://doi.org/10.4337/9781784719227.
De Oliveira, R. S. (2022). Researching Africa and the offshore world. The Journal of Modern African Studies, 60(3), 265–296.
https://doi.org/10.1017/s0022278x22000210.
Ferreira, M.E. & De Oliveira, R.S. (2018). The political economy of banking in Angola. African Affairs, 118 (470), 49–74. https://doi.org/10.1093/afraf/ady029.
François, P., Rainer, I. and Trebbi, F. (2015). How is power shared in Africa? Econometrica, 83(2), 465–503. https://doi.org/10.3982/ecta11237.
GlobalEDGE (no date) Angola: Statistics. https://globaledge.msu.edu/countries/angola/statistics.
Hammond, J. L. (2011). The resource curse and oil revenues in Angola and Venezuela. Science & Society, 75(3), 348–378.
https://doi.org/10.1521/siso.2011.75.3.348.
Hamilton, J. D. (1994) Time Series analysis. Princeton University Press eBooks. https://doi.org/10.1515/9780691218632.
Maxfield, S. (1998). Gatekeepers of growth: the international political economy of central banking in developing countries. http://ci.nii.ac.jp/ncid/BA30552349.
Mutarindwa, S., Schäfer, D., & Stephan, A. (2020) 'Central banks’ supervisory guidance on corporate governance and bank stability: Evidence from African countries. Emerging Markets Review, 43, 100694.
https://doi.org/10.1016/j.ememar.2020.100694.
Makrychoriti, P. & Pasiouras, F. (2021). National culture and central bank transparency: Cross-country evidence. Journal of International Financial Markets, Institutions and Money, 72, 101318.
https://doi.org/10.1016/j.intfin.2021.101318.
Menegaki, A. N. (2019). The ARDL method in the Energy-Growth Nexus Field; Best implementation Strategies. Economies, 7(4), 105.
https://doi.org/10.3390/economies7040105.
Mpofu, S. (2012). Essays on central bank independence and macroeconomic performance: selected African economies.
https://wiredspace.wits.ac.za/bitstream/10539/11653/1/THESIS%20-%20Sehliselo%20Mpofu.pdf.
Pepinsky, T.B. (2013). The domestic politics of financial internationalization in the developing world. Review of International Political Economy, 20(4), 848–880. https://doi.org/10.1080/09692290.2012.727361.
Kohn, W. & Sham, L.J. (1965). Self-Consistent equations including exchange and correlation effects. Physical Review, 140(4A), A1133–A1138.
https://doi.org/10.1103/physrev.140.a1133.
Козюк, В. (2016). Independence of central banks in commodity economies. Visnyk of the National Bank of Ukraine, 235, 6–25.
https://doi.org/10.26531/vnbu2016.235.006.
Romelli, D. (2022). The political economy of reforms in Central Bank design: evidence from a new dataset. Economic Policy, 37(112), 641–688.
https://doi.org/10.1093/epolic/eiac011.
Roque, P.C. (2022). Governing in the shadows. Oxford University Press eBooks. https://doi.org/10.1093/oso/9780197629895.001.0001.
Saleem, H., Shabbir, M.S., & Khan, M.B. (2020). The short-run and long-run dynamics among FDI, trade openness and economic growth: using a bootstrap ARDL test for co-integration in selected South Asian countries. South Asian Journal of Business Studies, 9(2), 279–295. https://doi.org/10.1108/sajbs-07-2019-0124.
Schubert, J. (2022). Disrupted dreams of development: neoliberal efficiency and crisis in Angola. Africa, 92(2), 171–190.
https://doi.org/10.1017/s0001972022000055.
Spyromitros, E. (2023). Determinants of Green Innovation: The role of monetary policy and central bank characteristics. Sustainability, 15(10), 7907. https://doi.org/10.3390/su15107907.
Sylla, N.S. (2023). Imperialism and Global South’s Debt: Insights from modern monetary theory, ecological economics, and dependency Theory. Research in political economy, 193–222. https://doi.org/10.1108/s0161-723020230000038008.
Zou, Y. (2019). Complex network approaches to nonlinear time series analysis. Physics Reports, 787, 1–97. https://doi.org/10.1016/j.physrep.2018.10.005.
Tang, B. and Matteson, D.S. (2021). Probabilistic transformer for Time series analysis. Neural Information Processing Systems, 34.
https://papers.nips.cc/paper/2021/hash/c68bd9055776bf38d8fc43c0ed283678-Abstract.html.
World Bank Group - International Development, Poverty, & Sustainability (no date). https://www.worldbank.org/en/home.
