Interações dinâmicas entre transporte e crescimento econômico no Equador: uma análise com modelos VAR e causalidade de Granger
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Palavras-chave

transporte; crecimiento económico; modelo VAR; causalidad de Granger; Ecuador. transport; economic growth; VAR model; Granger causality; Ecuador. transporte; crescimento econômico; modelo VAR; causalidade de Granger; Equador.

Como Citar

Cedillo-Chalaco, L., Sayonara Solorzano, S., Romero-Solano, R., & Calero-Córdova, R. (2025). Interações dinâmicas entre transporte e crescimento econômico no Equador: uma análise com modelos VAR e causalidade de Granger. Pacha. Revista De Estudios Contemporáneos Del Sur Global, 6(19), e250469. https://doi.org/10.46652/pacha.v6i19.469

Resumo

Este estudo examina a relação dinâmica entre crescimento econômico e desenvolvimento do transporte no Equador, considerando que ambos os setores apresentam interações temporais complexas que exigem uma abordagem rigorosa para sua análise. O objetivo principal é determinar o grau e a direção da influência entre o Produto Interno Bruto (PIB) e o valor adicionado bruto do setor de transporte, utilizando séries temporais anuais expressas em milhares de dólares constantes para o período de 2000 a 2022. A metodologia utilizada baseia-se na estimação de um modelo de autorregressão vetorial (VAR) e na aplicação de testes de causalidade de Granger, que permitem capturar as interdependências entre as variáveis sem impor relações estruturais a priori. Os resultados indicam uma relação bidirecional entre crescimento econômico e transporte, embora com intensidade assimétrica. O PIB tem uma influência significativa e imediata sobre o transporte, enquanto o impacto deste último sobre o crescimento é mais gradual e acumula-se no médio prazo. A decomposição da variância reforça essa diferença, mostrando uma maior contribuição do PIB na explicação dos erros de previsão do transporte. Conclui-se que o setor de transportes, além de sua função operacional, desempenha um papel estrutural na economia nacional, devendo as políticas públicas considerar sua integração estratégica com os objetivos macroeconômicos de longo prazo.

https://doi.org/10.46652/pacha.v6i19.469
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Referências

Alotaibi, S., Quddus, M., Morton, C., & Imprialou, M. (2022). Transport investment, railway accessibility and their dynamic impacts on regional economic growth. Research in Transportation Business & Management, 43, 1-12. doi:https://doi.org/10.1016/j.rtbm.2021.100702

Banco Central del Ecuador. (2025). Banco Central del Ecuador. https://www.bce.fin.ec/estadisticas-economicas/

Bose, E., Hravnak, M., & Sereika, S. (2017). Vector autoregressive models and granger causality in time series analysis in nursing research. Nursing Research, 66(1), 12-19.

Capurro, E. (2020). Impacto económico de la logística en el Ecuador y su afectación en la pandemia. Dominio de las ciencias, 6(4), 1610-1625. http://dx.doi.org/10.23857/dc.v6i3.1571

Carbo, J., & Graham, D. (2020). Quantifying the impacts of air transportation on economic productivity: a quasi-experimental causal analysis. Economics of Transportation, 24, 1-13. https://doi.org/10.1016/j.ecotra.2020.100195

Cedillo, L., & Campuzano, J. (2024). Análisis probabilístico de la segmentación de créditos en la provincia El OroEcuador. INNOVA Research Journal, 9(1), 35-51. doi:https://doi.org/10.33890/innova.v9.n1.2024.2309

Chen, A., Li, Y., Ye, K., Nie, T., & Liu, R. (2021). Does transport infrastructure inequality matter for economic growth? Evidence from China. Land, 10, 1-21. https://doi.org/10.3390/land10080874

Cueva, L., & Jácome, H. (2024). Productividad laboral del sector de servicios y crecimiento económico en Ecuador. Problemas del desarrollo, 55(216), 113-139. https://doi.org/10.22201/iiec.20078951e.2024.216.70085

Drachal, K. (2021). Forecasting crude oil real prices with averaging time-varying VAR models. Resources Policy, 74, 1-13. https://doi.org/10.1016/j.resourpol.2021.102244

Fratila, A., Gavril, I., Nita, S., & Hrebenciuc, A. (2021). The importance of maritime transport for economic growth in the European Union: A panel data analysis. Sustainability, 13(14), 1-23. https://doi.org/10.3390/su13147961

Haque, Z., & Schramm, H.-J. (2018). The impacts of port infrastructure and logistics performance on economic growth: the mediating role of seaborne trade. Journal of Shipping and Trade, 3(1), 1-19. https://doi.org/10.1186/s41072-018-0027-0

He, G., Xie, Y., & Zhang, B. (2020). Expressways, GDP, and the environment: The case of China. Journal of Development Economics, 145, 1-16. https://doi.org/10.1016/j.jdeveco.2020.102485

Karlsson, S., Mazur, S., & Nguyen, H. (2023). Vector autoregression models with skewness and heavy tails. Journal of Economic Dynamics & Control, 146, 1-20. https://doi.org/10.1016/j.jedc.2022.104580

Magazzino, C., & Mele¸Marco. (2021). On the relationship between transportation infrastructure and economic development in China. Research in Transportation Economics, 88, 1-9. https://doi.org/10.1016/j.retrec.2020.100947

Maziarz, M. (2015). A review of the Granger-causality fallacy. The Journal of Philosophical Economics, 8(2), 85-105. Obtenido de https://hrcak.srce.hr/file/229894

Meersman, H., & Nazemzadeh, M. (2017). The contribution of transport infrastructure to economic activity: The case of Belgium. Case Studies on Transport Policy, 5, 316-324. http://dx.doi.org/10.1016/j.cstp.2017.03.009

Odhiambo, N. (2021). Trade openness and energy consumption in sub-Saharan African countries: A multivariate panel Granger causality test. Energy Reports, 7, 7083-7089. https://doi.org/10.1016/j.egyr.2021.09.103

Peralta, F. (2020). Sustentabilidad y transporte desde un enfoque de jerarquización para la ciudad de Mexicali, Baja California. Estudios demográficos y urbanos, 35(1), 215-242. https://doi.org/10.24201/edu.v35i1.1920

Quintero, J., & Quintero, L. (2015). El transporte sostenible y su papel en el desarrollo del medio ambiente urbano. Revista Ingeniería y Región, 14(2), 87-97.

Raihan, A., Voumik, L., Akter, S., Rahim, A., Fahlevi, M., Aljuaid, M., & Sebastián, S. (2024). Taking flight: Exploring the relationship between air transport and Malaysian economic growth. Journal of Air Transport Management, 115, 1-12. https://doi.org/10.1016/j.jairtraman.2024.102540

Rehermann, F., & Pablo, M. (2018). Economic growth and transport energy consumption in the Latin American. Energy Policy, 122, 518-527. https://doi.org/10.1016/j.enpol.2018.08.006

Rossi, B., & Wang, Y. (2019). Vector autoregressive-based Granger causality test in the presence of instabilities. The Stata Journal, 19(4), 883-899. https://doi.org/10.1177/1536867X19893631

Saidi, S., Shahbaz, M., & Akhtar, P. (2018). The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries. Transportation Research Part A, 111, 78-95. https://doi.org/10.1016/j.tra.2018.03.013

Toda, H., & Phillips, P. (2007). Vector autoregression and causality: a theoretical overview and simulation study. Econometric Reviews, 13(2), 259-285. https://doi.org/10.1080/07474939408800286

Troster, V. (2016). Testing for Granger-causality in quantiles. Econometric Reviews, 37(8), 1-17. http://dx.doi.org/10.1080/07474938.2016.1172400

Volpe, C., Carballo, J., & Cusolito, A. (2017). Roads, exports and employment: Evidence from a developing country. Journal of Development Economics, 125, 21-39. https://doi.org/10.1016/j.jdeveco.2016.10.002

Wan, G., Wang, X., Zhang, R., & Zhang, X. (2022). The impact of road infrastructure on economic circulation: Market expansion and input cost saving. Economic Modelling, 112, 1-11. https://doi.org/10.1016/j.econmod.2022.105854

Wu, C., Zhang, N., & Xu¸Liwen. (2021). Travelers on the Railway: An economic growth model of the effects of railway transportation infrastructure on consumption and sustainable economic growth. Sustainability, 13, 1-18. https://doi.org/10.3390/su13126863

Yang, X., & Khan, I. (2022). Dynamics among economic growth, urbanization, and environmental sustainability in IEA countries: the role of industry value-added. Environmental Science and Pollution Research, 29, 4116-4127. https://doi.org/10.1007/s11356-021-16000-z

Yetkiner, H., & Beyzatlar, M. (2020). The Granger-causality between wealth and transportation: A panel data approach. Transport Policy, 97, 19-25. https://doi.org/10.1016/j.tranpol.2020.07.004

Y?ld?r?m, S. (2021). The impacts of transportation sector and unemployment on economic growth: evidence from asymmetric causality. En B. Ad?güzel, (ed.). Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics (pp. 267-285). Springer. https://doi.org/10.1007/978-3-030-54108-8_11

Zhang, J. (2021). Production performance forecasting method based on multivariate time series and vector autoregressive machine learning model for waterflooding reservoirs. Petroleum exploration and development, 48(1), 201-211. https://doi.org/10.1016/S1876-3804(21)60016-2

Zhang, Y., & Cheng, L. (2023). The role of transport infrastructure in economic growth: Empirical evidence in the UK. Transport Policy, 133, 223-233. https://doi.org/10.1016/j.tranpol.2023.01.017

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Este trabalho está licensiado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2025 Luis Cedillo-Chalaco, Sandra Sayonara Solorzano, René Romero-Solano, René Calero-Córdova

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