Decomposition analysis of decoupling freight transport from economic growth in China

Zhu, Feng; Wu, Xu; Gao, Yuee

doi:10.1016/j.trd.2019.12.003

Cited by 31 publications

(13 citation statements)

References 45 publications

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“…The direct effect of the industrial structure (IS) on LEE under the four different spatial matrices was positive, given an average coefficient of -0.2588, which is significant at the 1% level, while the indirect and total effects were insignificant. The yielded results accorded with the findings of Zhu et al (2011) and Zhu et al (2020), indicating the significant improvement of the local LEE on the secondary industry, with no significant impact on the LEE of surrounding areas. The possible reason could be due to the dependency of the development of the logistics industry on the circulation of industrial products in China.…”

Section: Analysis Of Sdm Regression Resultssupporting

confidence: 79%

Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models

Bai

Dong

Khan

et al. 2021

Environ Sci Pollut Res

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Improving the logistics ecological efficiency (LEE) has become a significant part of ensuring a sustainable development and tackling environmental pollution. Previous studies in the logistics industry seldom considered air pollutants and the association of spatial information. Therefore, innovatively considering SO 2 , NO x , and PM, this study adopted the Super-SBM-Undesirable model to calculate the LEE of 30 provinces in China from 2004 to 2017, and thereafter, developed information-based matrix to explore its influencing factors by using the spatial Dubin model. The results indicated that: (1) The overall LEE during the study period was low, presenting a U-shaped trend of an initial decrease and subsequent rise, and significant regional differences with the decreasing gradient pattern of the "Eastern-Central-Western." (2) A spatial directionality distributed from the northeast to southwest, and a significant spatial autocorrelation were observed. (3) The industrial structure had the greatest positive influence on the local LEE, followed by the urbanization level, technology innovation level, environmental regulation, while the energy intensity was identified as the main inhibiting factor, followed by the economic level, energy structure and opening level. (4) The LEE had a significant positive spillover effect; the energy intensity and environmental regulation positively affected the LEE in neighboring areas, while the opening level had negative impacts. In addition, policy recommendations for enhancing the LEE were made.

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Section: Analysis Of Sdm Regression Resultssupporting

confidence: 79%

Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models

Bai

Dong

Khan

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…In regard to the analysis of the impact of economic development on transport, a couple of different approaches and methodologies were used in the past ranging from a simple analysis of available data to sophisticated statistical correlation techniques [8]. A very good literature review on this topic could be found in [4,8,13,14]. In [4] authors claimed that in most of the analysed cases, the GDP is used to present the economic growth even when other indicators could be used instead.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Based on the time series data analysis and the logistic model, [13] confirmed a strong relationship between logistics development and economic growth. According to [13,14], the problems regarding the correlation between freight transport and economic growth were tackled by many authors. In their own research in [14], the authors examined and quantified the main the economic and freight transport development, the aspiration from the methodological point of view is to demonstrate the usefulness and purposefulness of using secondary data in empirical transport and logistics research.…”

Section: Literature Reviewmentioning

confidence: 99%

Correlation Between Freight Transport Industry and Economic Growth – Panel Analysis of CEE Countries

Vilke

Mance

Debelić

et al. 2021

PROMET

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The paper tests for statistical association between employment and value added of freight transport industry and its component activities against overall economy in a ten-year panel ranging from 2008 to 2017 of the thirteen newest European Union member countries. In this paper, the nature of correlation between economic growth as the independent variable and freight transport industry as a dependent variable is examined. To achieve stationarity, and to lose autocorrelation and the idiosyncratic effects, the variables are first differenced. The results of the “Granger causality” tests show the null hypothesis of no-causation may be rejected for most conjectures with high F-Statistics as well as high statistical significance. The results of the Panel EGLS cross-section fixed effects do not reject the results gained by the Granger test, and the same may be said for the Panel Generalised Method of Moments First Differences test. The result of the Arellano-Bond test shows no serial correlation in the residuals. It has been concluded that changes in overall economy (value added and employment) have a significant and measurably strong impact on freight transportation and warehousing sector. This conclusion is useful in assessing future impacts on freight transport industry, especially as a consequence of contingent events.

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“…However, some studies have recently questioned the solid link between aviation demand, including air cargo, and economic growth. Zhu et al (2020) [33] analyzed decoupling between freight transport and economic growth in China, revealing that between 1997 and 2017, there were 14 weak decouplings and two strong decouplings. Hu et al (2015) [34] stated that causality did not exist for GDP to air traffic in the short-run, while there exists a long-run bi-directional causality between real GDP and air traffic.…”

Section: The Link Between Economic Growth and Air Cargo Increasementioning

confidence: 99%

Investigating Paradigm Shift from Price to Value in the Air Cargo Market

Choi

Park

2020

Sustainability

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This study presents a paradigm shift in the air cargo market based on Korea and Incheon Airport’s empirical data. The air cargo market has traditionally handled expensive items and has been a supplier-oriented market. There has been little room for individual customers in this market. However, “value” gradually replaces “price” in this market. The value depending on consumer preferences significantly impact air cargo demand. Consequently, items transported by air cargo are changing, and airlines and other market participants are revising operation policy. Economic growth may be losing its dominant power as the main growth engine in the air cargo market. This study identifies the weakened link between air cargo increase and economic growth based on the Granger causality test. COVID-19 calls for a deeper understanding of the paradigm shift in the market for sustainable air transport because COVID-19 will further stimulate it. In this regard, the air cargo business, which maintains a stable trend even during COVID-19, is seen as a new opportunity for the aviation industry. Since sustainable air transport requires an accurate understanding of the paradigm shift in the air cargo market, this study enhances our knowledge of the paradigm shift and provides significant implications for sustainable air transport.

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Decomposition analysis of decoupling freight transport from economic growth in China

Cited by 31 publications

References 45 publications

Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models

Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models

Correlation Between Freight Transport Industry and Economic Growth – Panel Analysis of CEE Countries

Investigating Paradigm Shift from Price to Value in the Air Cargo Market

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