A multi-agent model of several economic regions

Environmental Modelling and Software

Volumn 44, Issue , 2013, Pages 25-43

  Wolf, Sarah ^a   Fürst, Steffen ^a   Mandel, Antoine ^a   Lass, Wiebke ^a   Lincke, Daniel ^a   Pablo Martí, Federico ^a   Jaeger, Carlo ^a  

^a Global Climate Forum (GCF)   (Germany)

Author keywords

Economic regions; Emissions; Growing economy; Multi agent model

Indexed keywords

CLIMATE POLICY; ECONOMIC REGIONS; INTERACTION NETWORKS; MULTI-AGENT MODEL; WIN-WIN;

COMPUTER SOFTWARE; ECOLOGY; PARTICULATE EMISSIONS;

CLIMATE MODELS;

ECONOMIC GROWTH; EMISSION; ENVIRONMENTAL ECONOMICS; ENVIRONMENTAL MODELING; ENVIRONMENTAL POLICY; NUMERICAL MODEL;

EID: 84876834872     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2012.12.012     Document Type: Article

References (45)

1. Acemoglu D., Aghion P., Bursztyn L., Hemous D. The environment and directed technical change. American Economic Review 2012, 102(1):131-166.
2. Armstrong J.S., Green K.C. Competitor-oriented objectives: the myth of market share. International Journal of Business 2007, 12(1):115-134.
3. Armstrong J.S., Scott C.F. Competitor orientation: effects of objectives and information on managerial decisions and profitability. Journal of Marketing Research 1996, 33(2):188-199.
4. Arrow K.J., Debreu G. Existence of an equilibrium for a competitive economy. Econometrica 1954, 22:265-290.
5. Balbi, S., Giupponi, C., 2009. Reviewing Agent-based Modelling of Socio-ecosystems: a Methodology for the Analysis of Climate Change Adaptation and Sustainability. Working Papers Department of Economics, Ca' Foscari University of Venice No. 15/WP/2009. ISSN: 1827-3580.
6. Bilancini E., Petri F. A comment on Gintis's " The dynamics of general equilibrium" Economics Bulletin 2008, 2:1-7.
7. Boero R., Squazzoni F. Does empirical embeddedness matter? Methodological issues on agent-based models for analytical social science. Journal of Artificial Societies and Social Simulation 2005, 8(4).
8. Boero R., Terna P. Dalla mano invisibile all'interazione sociale. Sistemi Intelligenti 2011, XXIII(2):337-344.
9. Buzzell R.D., Gale B.T., Sultan R. Market share: a key to profitability. Harvard Business Review 1975, 53(1):97-106.
10. Capros P., Georgakopoulos T., Filippoupolitis A., Kotsomiti S., Atsavesand G., Proost S., Van Regemorter D., Conrad K., Schmidt T. The GEM-E3 Model: Reference Manual 1999.
11. Chiarella C., Di Guilmi C. The financial instability hypothesis: a stochastic microfoundation framework. Journal of Economic Dynamics and Control 2011, 35:1151-1171.
12. Dawid H., Gemkow S., Harting P., Neugart M. Labor market integration policies and the convergence of regions. Journal of Evolutionary Economics 2011, 22(3):543-562.
13. Delli Gatti D., Gallegati M., Greenwald B., Russo A., Stiglitz J. The financial accelerator in an evolving credit network. Journal of Economic Dynamics and Control 2010, 34:1627-1650.
14. Di Guilmi C., Gallegati M., Landini S., Stiglitz J.E. Towards an Analytical Solution for Agent Based Models: an Application to a Credit Network Economy 2012.
15. Dosi G., Fagiolo G., Roventini A. Schumpeter Meeting Keynes: a Policy-friendly Model of Endogenous Growth and Business Cycles. LEM Working Paper Series 2008, 21. Laboratory of Economics and Management, Sant'Anna School of Advanced Studies.
16. Eichenbaum M.S. Some empirical evidence on the production level and production cost smoothing models of inventory investment. American Economic Review 1989, 79(4):853-864.
17. Farmer J., Foley D. The economy needs agent-based modelling. Nature 2009, 460:685-686.
18. Flechsig M., Böhm U., Nocke T., Rachimow C. The Multi-Run Simulation Environment SimEnv. User Guide 2010.
19. Gintis H. The emergence of a price system from decentralized bilateral exchange. B. E. Journal of Theoretical Economics 2006, 6:1302-1322.
20. Gintis H. The dynamics of general equilibrium. Economic Journal 2007, 117(523):1280-1309.
21. Jaeger C.C. Scarcity and coordination in the global commons. Reframing the Problem of Climate Change: From Zero Sum Game to Win-Win Solutions 2012, 85-101. Routledge. C.C. Jaeger, K. Hasselmann, G. Leipold, D. Mangalagiu, J.D. Tábara (Eds.).
22. Jaeger C.C., Hasselmann K., Leipold G., Mangalagiu D., Tábara J.D. Reframing the Problem of Climate Change: From Zero Sum Game to Win-Win Solutions 2012, Routledge.
23. Jaeger C.C., Paroussos L., Mangalagiu D., Kupers R., Mandel A., Tábara J.D. The Europe Mitigation Project - Assessing the Growth and Job Implications of Moving the European Climate Target from -20% to -30% 2010, German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety, Berlin, See. http://www.newgrowthpath.eu.
24. Kirman A.P. Whom or what does the representative individual represent?. The Journal of Economic Perspectives 1992, 6(2):117-136.
25. Lass, W., Pablo-Martí, F., Quiroga Gómez, S., 2013. Using Data in Agent Based Models: Towards more Transparency. Results of a discussion on the 100th Dahlem conference " New Approaches in Economics after the Financial Crisis" , Berlin-Dahlem, Germany, To appear in: Proceedings of the 100th Dahlem Conference, New Approaches in Economics after the Financial Crisis, 2010 Aug 28-31.
26. Lebaron B., Tesfastion L. Modeling macroeconomies as open-ended dynamic systems of interacting agents. American Economic Review 2008, 98:246-250.
27. Leijonhufvud A. Agent-based macro. Handbook of Computational Economics 2006, vol. 2:1625-1636. (chapter 36), Elsevier.
28. Luke S., Cioffi-Revilla C., Panait L., Sullivan K., Balan G. MASON: a multi-agent simulation environment. Simulation 2005, 81:517-527.
29. Mandel, A., Fürst, S., Lass, W., Meissner, F., Jaeger, C.C., 2009. Lagom generiC: an Agent-based Model of Growing Economies. ECF Working Paper, 1.
30. Mandel, A., Jaeger, C.C., Fürst, S., Lass, W., Lincke, D., Meissner, F., Pablo-Martì, F., Wolf, S., 2010. Agent-based Dynamics in Disaggregated Growth Models, Documents de Travail du Centre d'Economie de la Sorbonne, 2010.77.
31. Mullins l Management and Organisational Behaviour 1989, Pitman, London.
32. Nordhaus W. Economic growth and climate: the carbon dioxide problem. The American Economic Review 1977, 67(1).
33. Odersky, M., Altherr, P., Cremet, V., Dragos, I., Dubochet, G., Emir, B., McDirmid, S., Micheloud, S., Mihaylov, N., Schinz, M., Stenman, E., Spoon, L., Zenger,M., 2004. An Overview of the Scala Programming Language. EPFL Technical Report IC/2004/64, Lausanne, Switzerland.
34. Ormerod, P., Rosewell, B., Phelps, P., 2009. Inflation/unemployment regimes and the instability of the philipps curve. Economics E-Journal Discussion Paper, No. 2009-43.
35. Polhill J.G., Izquierdo L.R., Gotts N.M. What every agent-based modeller should know about floating point arithmetic. Environmental Modelling & Software 2006, 21:283-309.
36. Porter M.E. How competitive forces shape strategy. Harvard Business Review 1979, 57(2):137-145.
37. Shi H., Zhang Y. How Carbon Emission Mitigation Promotes Economic Development - a Theoretical Framework 2011, Draft.
38. Stern N. The Economics of Climate Change. The Stern Review 2007, Cambridge University Press, Cambridge, UK.
39. Streeck, W., 2010. E pluribus unum? Varieties and Commonalities of Capitalism. Köln: Max Planck Institut für Gesellschaftswissenschaften, MPIfG Discussion Paper 10/12.
40. Szymanski D.M., Bharadwaj S.G., Rajan V.P. An analysis of the market. share-profitability relationship. Journal of Marketing 1993, 57(3):1-18.
41. Tesfatsion L., Judd K. Agent-based Computational Economics. Number 2 in Handbook of Computational Economics 2006, Elsevier, North-Holland.
42. Walker, P., 2009. The Past and Present of the Theory of the Firm. University of Canterbury - Economics and Finance, Working Paper 2/2012.
43. Windrum P., Fagiolo G., Moneta A. Empirical validation of agent-based models: alternatives and prospects. Journal of Artificial Societies and Social Simulation 2007, 10(2).
44. Wolf, S., Fürst, S., Mandel, A., Knell, S., Lass, W., Lincke, D., Teitge, J., Jaeger, C., 2012. Two modes of scheduling in a simple economic agent-based model. In: SIMULTECH 2012 - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Rome, Italy, 28-31 July, 2012.
45. Zhang B., Zhang Y., Bi J. An adaptive agent-based modeling approach for analyzing the influence of transaction costs on emissions trading markets. Environmental Modelling & Software 2011, 26:482-491.