Border Effect Estimates for France and Germany Combining International Trade and Intranational Transport Flows

Helble, Matthias

doi:10.1007/s10290-007-0116-x

Cited by 25 publications

(13 citation statements)

References 27 publications

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“…Transit times for cross-border e-commerce in the EU are currently still considerably longer than those for interstate e-commerce in the United States (US). Although the land area of the EU is only 45 percent that of the US (United Nations Year Book, 2011), it has similar or even longer transportation times due to border effects [27]. As predicted by the gravity model [26], lengthier transit times make e-retail customers more reluctant to purchase goods outside their home country.…”

Section: Trends and Barriers In European Cross-border E-commercementioning

confidence: 99%

Cross-Border Electronic Commerce: Distance Effects and Express Delivery in European Union Markets

Kim

Dekker

Heij

2017

International Journal of Electronic Commerce

137

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Section: Trends and Barriers In European Cross-border E-commercementioning

confidence: 99%

Cross-Border Electronic Commerce: Distance Effects and Express Delivery in European Union Markets

Kim

Dekker

Heij

2017

International Journal of Electronic Commerce

137

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“…On the other hand, the inter-provincial boundary is a realistic problem facing the integrated development of urban agglomerations. Since the beginning of the 21st century, boundary research has gradually emerged, mainly focusing on boundary trade [18,19], market segmentation [20], factor costs [21,22], capital differences [23,24], cross-border cooperation [25,26], structure estimation [27], and regional development and coordination [28][29][30][31][32][33], etc. However, because boundary discussions are mostly concentrated in the economic field, and the relative flow data between administrative regions are difficult to obtain, there are few studies based on the perspective of network relationships of factor mobility.…”

Section: Introductionmentioning

confidence: 99%

Research on Network Patterns and Influencing Factors of Population Flow and Migration in the Yangtze River Delta Urban Agglomeration, China

et al. 2020

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Through the construction of a population flow and migration relationship matrix, this paper analyzes population flow and migration in the Yangtze River Delta urban agglomeration during the Spring Festival travel rush and daily period. This paper also studies the urban network spatial structure characteristics and the influencing factors from the perspective of inter-provincial population flow and migration. The results show the following: (1) as a central city, Shanghai has a significant siphon effect, with Suzhou, Nanjing, Hangzhou, Ningbo, Wuxi and Changzhou accumulating 86.95% of the incoming population. The Shanghai–Jiangsu cross-border floating population is active and accounts for 40.83% of the total mobility scale in the same period. The population flow and migration network in the Yangtze River Delta urban agglomeration shows obvious hierarchical characteristics. The secondary network relationship during the Spring Festival travel rush is the main migration path, while the first-level network relationship in the daily period is the main flow path. (2) Three indicators, namely, the network density, mean centrality, and control force based on the population flow and migration, consistently show that the Yangtze River Delta urban agglomeration network presents a strong connection state with the formation of a local cluster structure, highlighting that the city tightness in terms of population flow and migration also has dual attributes, which refers to “the restriction of the geographic space effect” and “overcoming the friction of space”. (3) Economic scale, political resources, industrial structure, and the historical basis are important factors influencing the formation of population flows and migration networks. Employment opportunities and labor wages are key guiding factors of the population migration direction, and spatial distance is a conditional factor influencing the formation of population flows and migration networks. The inter-provincial boundary, temporal distance, and transboundary frequency are the decisive factors for the formation of network patterns of population flow and migration.

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“…10 De fleste studier estimerer en gennemsnitlig europaeisk "home bias" ved at inkludere en dummy variabel for handel mellem to lande. 11 Helble (2006) og Chen (2004) estimerer "home bias" for individuelle europaeiske lande ved at inkludere en dummy variabel for hvert lands graense. 12 Der er betydelige forskelle i størrelsen på "home bias" afhaengig af, hvilke europaeiske lande der indgår i analysen.…”

Section: Nordisk Handel Sammenlignet Med Den Nationale Handelunclassified

“…12 Der er betydelige forskelle i størrelsen på "home bias" afhaengig af, hvilke europaeiske lande der indgår i analysen. Helble (2006), Wei (1996) …”

Section: Nordisk Handel Sammenlignet Med Den Nationale Handelunclassified

Kvantificering af grænsehindringer mellem de nordiske lande

Jervelund¹,

Jespersen²,

Hansen³

et al. 2013

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Border Effect Estimates for France and Germany Combining International Trade and Intranational Transport Flows

Abstract: Border effect, gravity equation, transport infrastructure, eurozone trade effects,

Cited by 25 publications

References 27 publications

Cross-Border Electronic Commerce: Distance Effects and Express Delivery in European Union Markets

Cross-Border Electronic Commerce: Distance Effects and Express Delivery in European Union Markets

Research on Network Patterns and Influencing Factors of Population Flow and Migration in the Yangtze River Delta Urban Agglomeration, China

Kvantificering af grænsehindringer mellem de nordiske lande

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