Towards a multi-stakeholder Intermodal Trade-Transportation Data-Sharing and Knowledge Exchange Network
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Editorial, 2020. "Covid-19 and Climate Change," Journal, Review of Agrarian Studies, vol. 10(1), pages 5-6, January-J.
- Alain Dudoit, 2020. "COVID-19 – Reinventing our governance and operating models. The Turning Point for Canada and Québec?," CIRANO Burgundy Reports 2020rb-04, CIRANO.
- Nathalie De Marcellis-Warin & Ingrid Peignier & Thierry Warin, 2010. "Priorisation des secteurs industriels fabriquant, utilisant ou important des matières dangereuses au Québec - Fiches sectorielles -," CIRANO Project Reports 2010rp-17, CIRANO.
- Nathalie De Marcellis-Warin & Thierry Warin & Ingrid Peignier & Neil Hamzaoui & Annie Bélizaire, 2009. "Analyse socio-économique des secteurs industriels fabriquant, utilisant ou transportant des matières dangereuses au Québec," CIRANO Project Reports 2009rp-06, CIRANO.
- Nathalie De Marcellis-Warin & Sébastien Favre & Ingrid Peignier & Martin Trépanier, 2006. "Revue des réglementations applicables au stockage et au transport des matières dangereuses au Québec," CIRANO Project Reports 2006rp-11, CIRANO.
- Julien Martin & Florian Mayneris, 2020. "The Reliance of Canadian Imports on the US is Worse Than you Think," CIRANO Papers 2020pe-34, CIRANO.
- repec:ebl:ecbull:v:28:y:2005:i:6:p:a0 is not listed on IDEAS
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022.
"How is machine learning useful for macroeconomic forecasting?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Papers 2008.12477, arXiv.org.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
- Moshi Optat Herman & Kirsten Wandschneider & Thierry Warin & Phanindra Wunnava, 2011.
"Southern African Economic Integration: Evidence from an Augmented Gravity Model,"
The African Finance Journal, Africagrowth Institute, vol. 13(1), pages 1-13.
- Warin, Thierry & Wunnava, Phanindra V. & Tengia, Optat & Wandschneider, Kirsten, 2009. "Southern African Economic Integration: Evidence from an Augmented Gravity Model," IZA Discussion Papers 4316, IZA Network @ LISER.
- Ingrid Peignier & Minh Hoang Bui & Martin Trépanier, 2016. "Étude sur les enjeux propres aux plateformes multimodales et aux opérations de transbordement des hydrocarbures au Québec (GTRA01)," CIRANO Project Reports 2016rp-03, CIRANO.
- Thierry Warin & Phanindra Wunnava & Hubert P. Janicki, 2005. "Endogenous OCA Theory: Using the Gravity Model to Test Mundell's Intuition," Economics Bulletin, AccessEcon, vol. 28(6), pages 1.
- Annie Royer & Nathalie De Marcellis-Warin & Ingrid Peignier & Thierry Warin & Molivann Panot & Christophe Mondin, 2020. "Les enjeux du numérique dans le secteur agricole - Défis et opportunités," CIRANO Project Reports 2020rp-12, CIRANO.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Thierry Warin, 2022.
"Supply chains under pressure: How can data science help?,"
CIRANO Papers
2022pe-06, CIRANO.
- Thierry Warin, 2022. "Supply chains under pressure: How can data science help?," CIRANO Papers 2022pj-06, CIRANO.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021.
"Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
- Baranzini, Andrea & Carattini, Stefano & Tesauro, Linda, 2021. "Designing effective and acceptable road pricing schemes: evidence from the Geneva congestion charge," LSE Research Online Documents on Economics 110870, London School of Economics and Political Science, LSE Library.
- Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020.
"Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
- Robert J R Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 post-pandemic research agenda in environmental economics," Discussion Papers 20-15, Department of Economics, University of Birmingham.
- Robert J R Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Working Papers 2020-003, Department of Research, Ipag Business School.
- Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024.
"Forecasting UK inflation bottom up,"
International Journal of Forecasting, Elsevier, vol. 40(4), pages 1521-1538.
- Andreas Joseph & Eleni Kalamara & George Kapetanios & Galina Potjagailo & Chiranjit Chakraborty, 2021. "Forecasting UK inflation bottom up," Bank of England working papers 915, Bank of England.
- Francine Mestrum, 2020. "Universal Social Protection and Health Care as a Social Common," Development, Palgrave Macmillan;Society for International Deveopment, vol. 63(2), pages 238-243, December.
- David Klenert & Franziska Funke & Linus Mattauch & Brian O’Callaghan, 2020.
"Five Lessons from COVID-19 for Advancing Climate Change Mitigation,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 751-778, August.
- Funke, Franziska & Mattauch, Linus & Klenert, David & O'Callaghan, Brian, 2020. "Five lessons from COVID-19 for advancing climate change mitigation," INET Oxford Working Papers 2020-16, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
- Susan Aaronson, 2021. "Can Trade Agreements Solve the Wicked Problem of Disinformation," Working Papers 2021-12, The George Washington University, Institute for International Economic Policy.
- Dewang Li & Chingfei Luo & Meilan Qiu, 2025. "Optimal Weighted Markov Model and Markov Optimal Weighted Combination Model with Their Application in Hunan’s Gross Domestic Product," Mathematics, MDPI, vol. 13(3), pages 1-19, February.
- Nguyen, Minh-Hoang & Vuong, Quan-Hoang, 2020. "The third finding concerning a missing cultural value: a bibliometric analysis using the Web of Science," OSF Preprints jbcx3, Center for Open Science.
- Dangxing Chen & Luyao Zhang, 2023. "Monotonicity for AI ethics and society: An empirical study of the monotonic neural additive model in criminology, education, health care, and finance," Papers 2301.07060, arXiv.org.
- Zeynep Clulow & Michele Ferguson & Peta Ashworth & David Reiner, 2021.
"Political ideology and public views of the energy transition in Australia and the UK,"
Working Papers
EPRG2106, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Clulow, Z. & Ferguson, M. & Ashworth, P & Reiner, D., 2021. "Political ideology and public views of the energy transition in Australia and the UK," Cambridge Working Papers in Economics 2126, Faculty of Economics, University of Cambridge.
- Nestor Goicoechea & Luis María Abadie, 2021. "Optimal Slow Steaming Speed for Container Ships under the EU Emission Trading System," Energies, MDPI, vol. 14(22), pages 1-25, November.
- Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2024. "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Post-Print hal-05056934, HAL.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino, 2022.
"Forecasting US Inflation Using Bayesian Nonparametric Models,"
Papers
2202.13793, arXiv.org.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino, 2022. "Forecasting US Inflation Using Bayesian Nonparametric Models," Working Papers 22-05, Federal Reserve Bank of Cleveland.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano, 2023. "Forecasting US Inflation Using Bayesian Nonparametric Models," CEPR Discussion Papers 18244, C.E.P.R. Discussion Papers.
- Timothy J. Garrett & Matheus R. Grasselli & Stephen Keen, 2020. "Past production constrains current energy demands: persistent scaling in global energy consumption and implications for climate change mitigation," Papers 2006.03718, arXiv.org.
- Luo, Shihua & Hu, Weihao & Liu, Wen & Liu, Zhou & Huang, Qi & Chen, Zhe, 2022. "Flexibility enhancement measures under the COVID-19 pandemic – A preliminary comparative analysis in Denmark, the Netherlands, and Sichuan of China," Energy, Elsevier, vol. 239(PC).
- McWilliams, William N. & Isengildina Massa, Olga & Stewart, Shamar L., 2024. "Annual Food Price Inflation Forecasting: A Macroeconomic Random Forest Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343923, Agricultural and Applied Economics Association.
- Zhu Liu & Zhu Deng & Philippe Ciais & Jianguang Tan & Biqing Zhu & Steven J. Davis & Robbie Andrew & Olivier Boucher & Simon Ben Arous & Pep Canadel & Xinyu Dou & Pierre Friedlingstein & Pierre Gentin, 2021. "Global Daily CO$_2$ emissions for the year 2020," Papers 2103.02526, arXiv.org.
- Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024. "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers 806, DNB.
- Borup, Daniel & Christensen, Bent Jesper & Mühlbach, Nicolaj Søndergaard & Nielsen, Mikkel Slot, 2023.
"Targeting predictors in random forest regression,"
International Journal of Forecasting, Elsevier, vol. 39(2), pages 841-868.
- Daniel Borup & Bent Jesper Christensen & Nicolaj N. Mühlbach & Mikkel S. Nielsen, 2020. "Targeting predictors in random forest regression," CREATES Research Papers 2020-03, Department of Economics and Business Economics, Aarhus University.
- Daniel Borup & Bent Jesper Christensen & Nicolaj N{o}rgaard Muhlbach & Mikkel Slot Nielsen, 2020. "Targeting predictors in random forest regression," Papers 2004.01411, arXiv.org, revised Nov 2020.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023.
"Tail Forecasting With Multivariate Bayesian Additive Regression Trees,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
More about this item
Keywords
; ; ; ; ; ; ; ; ; ;NEP fields
This paper has been announced in the following NEP Reports:- NEP-INT-2022-02-28 (International Trade)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cir:cirpro:2021rp-28. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Webmaster (email available below). General contact details of provider: https://edirc.repec.org/data/ciranca.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/cir/cirpro/2021rp-28.html