Jean-François Arvis
World Bank
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Featured researches published by Jean-François Arvis.
Archive | 2007
Jean-François Arvis; Monica Alina Mustra; Lauri Ojala; Ben Shepherd; Daniel Saslavsky
This is the fourth edition of Connecting to Compete: Trade Logistics in the Global Economy. It features the Logistics Performance Index (LPI), which the World Bank has produced every two years since 2007. The LPI measures the on-theground efficiency of trade supply chains, or logistics performance. This year’s edition covers 160 countries.
World Trade Review | 2013
Jean-François Arvis; Yann Duval; Ben Shepherd; Chorthip Utoktham
The authors use newly collected data on trade and production in 178 countries to infer estimates of trade costs in agriculture and manufactured goods for the 1995-2010 period. The data show that trade costs are strongly declining in per capita income. Moreover, the rate of change of trade costs is largely unfavorable to the developing world: trade costs are falling noticeably faster in developed countries than in developing ones, which serves to increase the relative isolation of the latter. In particular, Sub-Saharan African countries and low-income countries remain subject to very high levels of trade costs. In terms of policy implications, the analysis finds that maritime transport connectivity and logistics performance are very important determinants of bilateral trade costs: in some specifications, their combined effect is comparable to that of geographical distance. Traditional and non-traditional trade policies more generally, including market entry barriers and regional integration agreements, play a significant role in shaping the trade costs landscape.
World Bank Publications | 2014
Cordula Rastogi; Jean-François Arvis
Central Asia is often associated with the silk route or road, the longest overland trade route connecting China to Europe and one of the oldest in history. Growth opportunities and the future prosperity of the region are highly dependent upon the efficiency of its internal and external supply-chain connections, which is the focus of this report. Supply-chain connectivity depends on the quality of the infrastructure on specific routes. This study explains how supply chain fragmentation remains a serious obstacle to economic development of Central Asia and to Eurasian integration more generally. It provides a comprehensive assessment of the various factors that yet impede supply-chain integration, including weak transport and communications infrastructure, but as important, and perhaps more so, critical weaknesses in policy, institutions, and governance. Based on this assessment this report provides an insightful set of recommendations that, if taken up by the governments of Central Asia and by their key neighbors, will go a long way in promoting the effective integration of Central Asia into an increasingly connected Eurasian continental economy and with that into the global economy.
The World Economy | 2016
Jean-François Arvis; Ben Shepherd
We develop a new method for measuring air transport connectivity and apply it to data for 211 countries and territories for the year 2007. Our approach is grounded both in network analysis and in gravity modelling. It produces a global measure of connectivity, which captures the full range of interactions among all network nodes, even when there is no direct flight between them. Connectivity follows a power‐law distribution that is fully consistent with a hub‐and‐spoke network. Our approach provides a new basis for future research in related areas.
Archive | 2013
Jean-François Arvis
This paper revisits the ubiquitous bi-proportional gravity model and investigates the reasons why different theoretical frameworks may lead to the same empirical formula. The generic gravity equation possesses scale invariance symmetries that constrain possible theoretical explanations based on optimal allocation principles, such as neoclassical or probabilistic frameworks. These constraints imply that a representative consumers utilities must be separable, and that an entropy model is the only consistent maximum likelihood allocation of a matrix of flows between origin and destination. The paper explores the feasibility of wider classes of non-scale invariant gravity equations, where gravity is no longer bi-proportional by including nonlinear interactions between trade costs and fundamental country factors such as economic size. It shows that such extensions are feasible but that they do not result in a significant improvement in the explanatory power of the empirical analysis.
World Bank Other Operational Studies | 2018
Jean-François Arvis; Monica Alina Mustra; Lauri Ojala; Ben Shepherd; Daniel Saslavsky
Archive | 2011
Jean-François Arvis; Ben Shepherd
Arvis, Jean-François, Ben Shepherd, Yann Duval, and Chorthip Utoktham. 2013. “Trade Costs and Development: A New Data Set.” Economic Premise, January 2013, Issue 104. World Bank, Poverty Reduction and Economic Management Network, Washington, DC. | 2016
Jean-François Arvis; Daniel Saslavsky; Lauri Ojala; Ben Shepherd; Christina Busch; Anasuya Raj
Archive | 2007
Jean-François Arvis; Lauri Ojala; Christina Wiederer; Ben Shepherd; Anasuya Raj; Karlygash Dairabayeva; Tuomas Kiiski
World Bank Publications | 2013
Jean-François Arvis; Ben Shepherd; Yann Duval; Chorthip Utoktham
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United Nations Economic and Social Commission for Asia and the Pacific
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