Granger-causality between transportation and GDP: A panel data approach

Beyzatlar, Mehmet Aldonat; Karacal, Müge; Yetkiner, I. Hakan

doi:10.1016/j.tra.2014.03.001

Cited by 100 publications

(64 citation statements)

References 47 publications

(33 reference statements)

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“…Granger causality testing is a widely accepted method for testing the reverse causality effect and has been used extensively in many empirical studies (e.g., Al-mulali, 2014;Beyzatlar, Karacal, & Yetkiner, 2014;Chang et al, 2014;Florens & Mouchart, 1982;Law, Lim, & Ismail, 2013). The version of Granger causality testing used in our analysis is called the Toda-Yamamoto and Dolado and Lutkepohl (TYDL) Granger test.…”

Section: Sensitivity Analysis: Panel Var and Granger Testsmentioning

confidence: 99%

Does Reverse Causality Explains the Relationship Between Economic Performance and Technological Diversity?

Moaniba

Lee

2018

Technological and Economic Development of Economy

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Abstract. Previous studies have highlighted technological innovation as a key instrument for economic development. However, although the relationship between innovation and economic growth has been extensively explored, few studies have investigated the impacts of crucial dimensions of innovation on economic growth. This paper presents one of the first empirical attempts to analyze how the "diversity" aspect of technological progress (or innovation) influences economic performance by considering the possible bidirectional causal effects between these two factors. A series of econometric techniques, including a two-stage-least-squares instrumental variable and dynamic autoregressive distributed lag model, are applied on a dataset of 55 countries. The dataset includes patent data from the United States Patent and Trademark Office and combined macroeconomic data from the World Bank's development indicators and International Monetary Fund's economic outlook databases. The results show that generally, technological diversity does not directly affect economic growth. By contrast, a negative effect of diversity on GDP per capita is observed in nonhigh-income countries. This study contributes to the macroeconomics and innovation management literature by providing an integrated empirical application of various popular firm management theories and a well-known endogenous economic growth theory.

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Section: Sensitivity Analysis: Panel Var and Granger Testsmentioning

confidence: 99%

Does Reverse Causality Explains the Relationship Between Economic Performance and Technological Diversity?

Moaniba

Lee

2018

Technological and Economic Development of Economy

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“…Oznacza to, że transport lądowy ładunków jest determinantą wzrostu gospodarczego i vice versa. Niestety nie udało się potwierdzić istnienia zależności pomiędzy transportem lądowym osób a wzrostem gospodarczym (Beyzatlar, Karacal, Yetkiner, 2014).…”

Section: Przegląd Literaturyunclassified

Examination of Granger-causality between the road freight transport and economic growth on the example of Poland

Szaruga

2016

Studia I Prace WNEiZ

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“…Compared with time series and cross-sectional models, the panel data model has several advantages: it can increase the sample accuracy of estimators because of large amounts of observations, whereas the panel data model can get more dynamic information than the cross-sectional model [29,30].…”

Section: Panel Data Modelmentioning

confidence: 99%

The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study

Chen

Wang²,

Zhang³

et al. 2014

Sustainability

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Bus system performance varies from city to city, and experience clearly indicates that simply increasing the size of bus fleet cannot always improve bus system performance. It is therefore necessary to identify the major variables of bus system performance in different cities and implement a diversity improvement strategy based on actual problems that cities are facing. Two new indicators, annual average bus trips per capita and average daily ridership per bus, are proposed to respectively describe two aspects of bus system performance: willingness to travel and operational efficiency. According to these two indicators, 645 cities in China are classified into four types: cities with good performance in both aspects; in only one aspect; and in neither aspect. Then, based on panel data attained during 2002-2008, the impacts of the variables on willingness to travel and operational efficiency in different city types are analyzed by the variable coefficient model. The results show that the impacts of urban geography, economic conditions, and bus system facility vary among the four city types. Bus ownership ratio has a significant positive impact on improving willingness to travel for the cities with insufficient bus system facility. However, the impact decreases in the cities with well-developed facilities, whereas the operational efficiency suffers from negative impact due to the excess in bus system facility. In addition, the development characteristics of the OPEN ACCESSSustainability 2014, 6 7752 cities that are improved both in willingness to travel and operational efficiency in each city type during 2002-2008 are discussed. The findings can help local governments make more specific, reasonable and efficient strategies to promote bus system performance.

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Granger-causality between transportation and GDP: A panel data approach

Cited by 100 publications

References 47 publications

Does Reverse Causality Explains the Relationship Between Economic Performance and Technological Diversity?

Does Reverse Causality Explains the Relationship Between Economic Performance and Technological Diversity?

Examination of Granger-causality between the road freight transport and economic growth on the example of Poland

The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study

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