The Granger-causality between wealth and transportation: A panel data approach

Yetkiner, I. Hakan; Beyzatlar, Mehmet Aldonat

doi:10.1016/j.tranpol.2020.07.004

Cited by 20 publications

(6 citation statements)

References 24 publications

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“…A Granger causality analysis is conducted to measure the possible correlations and causality effects between the number of COVID-19 cases, government stringency, and community mobility. Initially introduced in the field of economics ( Toda and Yamamoto, 1995 ), Granger causality has been widely used in transportation and health studies due to its robust nature and model flexibility ( Oliveira et al, 2020 ; Yetkiner and Beyzatlar, 2020 ). In addition to identifying the existence of causal linkages, Granger causality is useful for determining the directions of causal linkages between variables.…”

Section: Responses To the Covid-19 Pandemicmentioning

confidence: 99%

COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong

Chan

Chen

et al. 2021

Transport Policy

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The COVID-19 outbreak has necessitated a critical review of urban transportation and its role in society against the backdrop of an exogenous shock. This article extends the transportation literature regarding community responses to the COVID-19 pandemic and what lessons can be obtained from the case of Hong Kong in 2020. Individual behavior and collective responsibility are considered crucial to ensure both personal and community wellbeing in a pandemic context. Trends in government policies, the number of infectious cases, and community mobility are examined using multiple data sources. The mobility changes that occurred during the state of emergency are revealed by a time-series analysis of variables that measure both the epidemiological severity level and government stringency. The results demonstrate a high response capability of the local government, inhabitants, and communities. Communities in Hong Kong are found to have reacted faster than the implementation of health interventions, whereas the government policies effectively reduced the number of infection cases. The ways in which community action are vital to empower flexible and adaptive community responses are also explored. The results indicate that voluntary community involvement constitutes a necessary condition to help inform and reshape future transport policy and response strategies to mitigate the pandemic.

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Section: Responses To the Covid-19 Pandemicmentioning

confidence: 99%

COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong

Chan

Chen

et al. 2021

Transport Policy

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“… Duan et al (2020) used the input-output model and indicated that China’s GDP would fall by 0.40–0.72%. Moreover, the pandemic would severely impact the output of production sectors, especially for the sectors directly exposed to it, such as tourism, hotel, restaurant, and retail ( Beck and Hensher, 2020 ; Guan et al, 2020 ; Yang et al, 2020 ; Yetkiner and Beyzatlar, 2020 ;).…”

Section: Introductionmentioning

confidence: 99%

The impacts of COVID-19 pandemic on China’s transport sectors based on the CGE model coupled with a decomposition analysis approach

et al. 2021

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As one of the most vulnerable sectors exposed to the COVID-19 pandemic, transport sectors have been severely affected. However, the shocks and impact mechanisms of infectious diseases on transport sectors are not fully understood. This paper employs a multi-sectoral computable general equilibrium model of China, CHINAGEM, with highly disaggregated transport sectors to examine the impacts of the COVID-19 pandemic on China’s transport sectors and reveal the impact mechanisms of the pandemic shocks with the decomposition analysis approach. This study suggests that, first, multiple shocks of the COVID-19 pandemic to transport sectors are specified, including the supply-side shocks that raised the protective cost and reduced the production efficiency of transport sectors, and the demand-side shocks that reduced the demand of households and production sectors for transportation. Second, the outputs of all transport sectors in China have been severely affected by the COVID-19 pandemic, and passenger transport sectors have larger output decreases than freight transport sectors. While the outputs of freight transport sectors are expected to decline by 1.03–2.85%, the outputs of passenger transport sectors would decline by 3.08–11.44%. Third, with the decomposition analysis, the impacts of various exogenous shocks are quite different, while the changes in the output of different transport sectors are dominated by different exogenous shocks. Lastly, while the supply-side shocks of the pandemic would drive output decline in railway, waterway, and aviation transport sectors, the demand-side shocks would drive so in the road, pipeline, and other transport sectors. Moreover, the COVID-19 pandemic has negative impacts on the output of most non-transport sectors and the macro-economy in China. Three policy implications are recommended to mitigate the damages caused by the COVID-19 pandemic to the transport sectors.

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“…Additionally, a change in policy that identifies and reflects the unique characteristics of various environmental structures is required to increase the efficiency of transportation modes at the national level (Önsel Ekici et al 2016 ). To this end, policymakers need to understand the logistics industry as a whole to improve the sustainability and efficiency of transportation networks and services (Yetkiner and Beyzatlar 2020 ), and to build an integrated transportation infrastructure through the efficient operation of transportation modes and related activities (Yavas and Ozkan-Ozen 2020 ).…”

Section: Introductionmentioning

confidence: 99%

The dynamic relationship between industrialization, urbanization, CO2 emissions, and transportation modes in Korea: empirical evidence from maritime and air transport

2022

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This study investigates the causal relationship between logistics efficiency and factors affecting the logistics environment, such as industrialization, urbanization, and CO2 emissions. With the expectation that logistics efficiency will contribute to economic growth and enhance country competitiveness in the near future, it is necessary to confirm the impact of each factor on different transportation modes, such as maritime and air transport. To this end, this study identifies causal relationships between the factors affecting the logistics environment and specific modes of transportation using data from 2010 to 2018. We employed the panel unit root test, panel co-integration test, fully modified OLS (FMOLS), panel dynamic OLS (DOLS), and panel VECM Granger causality tests for the estimations. The results revealed that factors affecting the logistics environment have different effects depending on the modes of transportation. For maritime transportation, long-run bidirectional causal associations were found between port volume, total exports, industrialization, and urbanization. This implies that export promotion and the resulting economic and social environment changes can increase port throughput; this increase can, in turn, develop and improve economic growth and factors affecting the logistics environment. In contrast, for air transport, we detected a long-run, unidirectional causal relationship among these variables and air volume changes with growing exports, urbanization, and industrialization. Thus, this study suggests a theoretical framework for analyzing the causal relationship between the factors affecting the logistics environment and each mode of transportation, providing insights for policymakers to promote logistics efficiency.

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The Granger-causality between wealth and transportation: A panel data approach

Cited by 20 publications

References 24 publications

COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong

COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong

The impacts of COVID-19 pandemic on China’s transport sectors based on the CGE model coupled with a decomposition analysis approach

The dynamic relationship between industrialization, urbanization, CO2 emissions, and transportation modes in Korea: empirical evidence from maritime and air transport

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