Quantitative Methods in Regional Science: Perspectives on Research Directions

  • L. Anselin


The use of formal mathematical concepts and expressions, and the application of statistics, optimization and other quantitative methods constitutes the most common characteristic of research in regional science as it has become known over the past thirty years. To address the current state of the art and to outline potential future developments for quantitative methods in regional science would therefore be a rather formidable task. In order to focus the discussion, and to limit the overlap with the other papers in the series that address substantive research areas (e. g., spatial interaction and migration, location, regional development, energy and the environment), I will limit the scope of my remarks to two specific areas. I will focus on operational models of the urban and regional economy, and on methods for the analysis of spatial data. Both of these are areas in which recently some important new developments have come to the fore. In addition, these are also areas in which the quantitative methods have made the transition into the practice of planners and policy makers. Even though my choice of topic is admittedly narrow, it allows a focus on those methods that have emphasized and dealt with the central role of space in regional science models. Arguably, this is less the case with some other, and equally important sets of techniques, such as optimization methods and decision theory. In addition to these conceptual motivations, there is also a practical constraint on the length of the paper, which precluded me from covering a more comprehensive range of topics.


Geographic Information System Computable General Equilibrium Regional Science Computable General Equilibrium Model Spatial Data Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Abler, R.F. (1987), The National Science Foundation National Center for Geographic Information and Analysis, InternationalJournal of Geographical Information1: 303–326.CrossRefGoogle Scholar
  2. Anas, A. (1987),Modeling in Urban and Regional Economics. New York, Harwood Academic Publishers.Google Scholar
  3. Anselin, L. (1986), Some Further Notes on Spatial Models and Regional Science,Journal of Regional Science26: 799–802.CrossRefGoogle Scholar
  4. Anselin, L. (1988a),Spatial Econometrics: Methods and Models. Dordrecht, Kluwer Academic Publishers.Google Scholar
  5. Anselin, L. (1988b), Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches,International Regional Science Review11: 279–316.Google Scholar
  6. Anselin, L. (1988c), An Integrated Multiregional Approach Toward Water Policy Analysis at the State and Sub-State Level. Paper presented at the International Conference on the Construction and Use of Regional Input-Output Models, Alpine Lake Resort, West Virginia.Google Scholar
  7. Anselin, L. (1989), Spatial Regression Analysis on the PC: Spatial Econometrics Using GAUSS. Institute forMathematical Geography Discussion Paper#2. Ann Arbor, IMaGE (forthcoming).Google Scholar
  8. Anselin, L. and D.A. Griffith (1988), Do Spatial Effects Really Matter in Regression Analysis? Papers.Regional Science Association65: 11–34.Google Scholar
  9. Anselin, L. and M. Madden (1990),New Directions in Regional Analysis: Integrated and Multiregional Approaches. London, Belhaven Press.Google Scholar
  10. Batey, P. (1985), Input-Output Models for Regional Demographic-Economic Analysis: Some Structural Comparisons,Environment and PlanningA 17: 73–99.Google Scholar
  11. Batey, P. and M. Madden (1986),Integrated Analysis of Regional Systems. Lonson, Pion.Google Scholar
  12. Batey, P. and A. Rose (1988), Extended Input-Output Models and Social Accounting Matrices: Progress and Potential. Paper Presented at the International Conference on the Construction and Use of Regional Input-Output Models,Alpine Lake Resort, West Virginia.Google Scholar
  13. Bennett R. and L. Hordijk (1986), Regional Econometric and Dynamic Models, in: P. Nijkamp (ed.),Handbook of Regional and Urban Economics I. pp. 407–441, Amsterdam, North Holland.Google Scholar
  14. Bolton, R. (1985), Regional Econometric Models,Journal of Regional Science25: 495–520.CrossRefGoogle Scholar
  15. Bon, R. (1988), Supply-Side Multiregional Input-Output Models,Journal of Regional Science28: 41–50.CrossRefGoogle Scholar
  16. Boyce, D. (1988), Renaissance of Large-Scale Models, Papers.Regional Science Association65: 1–10.Google Scholar
  17. Brucker, S., S. Hastings and W.R. Latham III (1987), Regional Input-Output Analysis: A Comparison of Five ’Ready-Made’ Model Systems,The Review of Regional Studies17: 1–16.Google Scholar
  18. Cliff, A.D. and J.K. Ord (1973), Spatial Autocorrelation. London, Pion. Czamanski, S. ( 1973 ), Regional andInterregional Social Accounting. Lexington MA, Lexington Books.Google Scholar
  19. Getis, A. and B. Boots (1978),Models of Spatial Process. London, Cambridge University Press.Google Scholar
  20. Goodchild, M.F. (1987), A Spatial Analytical Perspective on Geographical Information Systems,International Journal of Geographical Information Systems1: 327–334.CrossRefGoogle Scholar
  21. Griffith, D.A. (1988),Advanced Spatial Statistics. Dordrecht, Kluwer Academic Publishers.CrossRefGoogle Scholar
  22. Griffith, D.A. (1989), Spatial Regression Analysis on the PC: Spatial Statistics Using Minitab.Institute for Mathematical Geography Discussion Paper#1. Ann Arbor, IMaGe.Google Scholar
  23. Harrigan, F. and P.G. McGregor (1988a),Recent Advances in Regional Economic Modelling. London, Pion.Google Scholar
  24. Harrigan, F. and P.G. McGregor (1988b), Price and Quantity Interaction in Regional Economic Models: The Importance of ’Openness’ and ’Closures’, in: F. Harrigan and P. McGregor (eds.),Recent Advances in Regional Economic Modelling, pp. 178–207, London, Pion.Google Scholar
  25. Hewings, G.J.D. and R. Jensen (1986), Regional, Interregional and Multiregional Input-Output Analysis, in: P. Nijkamp (ed.),Handbook of Regional and Urban Economics I. pp. 295–355, Amsterdam, North Holland.Google Scholar
  26. Hewings, G.J.D. and R. Jensen (1988), Emerging Challenges in Regional Input-Output Analysis,The Annals of Regional Science22: 43–53.CrossRefGoogle Scholar
  27. Higgs, P., B. Parmenter and R. Rimmer (1988), A Hybrid Top-Down, Bottom-Up Regional Computable General Equilibrium Model,International Regional Science Review11: 317–328.Google Scholar
  28. Isard, W. (1960),Methods of Regional Analysis. Cambridge MA, MIT Press.Google Scholar
  29. Isard, W. (1986), Reflections on the Relevance of Integrated Multiregion Models,Regional Science and Urban Economics16: 165–180.CrossRefGoogle Scholar
  30. Isard, W. and L. Anselin (1982), Integration of Multiregional Models for Policy Analysis,Environment and PlanningA 14: 359–376.CrossRefGoogle Scholar
  31. Jackson, R. (1986), The Full Description Approach to the Aggregate Representation in the Input-Output Modelling Framework,Journal of Regional Science26: 515–530.CrossRefGoogle Scholar
  32. Jensen, R.C. (1988), Construction and Use of Regional Input-Output: Progress and Prospects.Discussion Paper, Regional Research Institute, West Virginia University.Google Scholar
  33. Jensen, R.C., G.R. West and G.J.D. Hewings (1988), The Study of Regional Economic Structure using Input-Output Tables,Regional Studies22: 209–220.CrossRefGoogle Scholar
  34. Kain, J. (1987), Computer Simulation Models of Urban Location, in: E. Mills (ed.),Handbook of Regional and Urban EconomicsII. pp. 847–875, Amsterdam, North Holland.Google Scholar
  35. Kinal, T. and J. Ratner (1986), A VAR Forecasting Model of A Regional Economy: Its Construction and Comparative Accuracy,International Regional Science Review10: 113–126.Google Scholar
  36. Miller, R., K. Polenske, A. Rose (1989),Frontiers of Input-Output Analysis. New York, Oxford University Press.Google Scholar
  37. Nijkamp, P., P. Rietveld, and F. Snickars (1986), Regional and Multiregional Economic Models: A Survey, in: P. Nijkamp (ed.),Handbook of Regional and Urban Economics I. pp. 257–294, Amsterdam, North Holland.Google Scholar
  38. Odland, J., R. Golledge, P. Rogerson (1989),Recent Developments in Mathematical and Statistical Analysis in Human Geography, in: G. Gaile and C. Wilmott (ed.), Geography in America, pp. 719–745, Columbus OH, Merril.Google Scholar
  39. Oosterhaven, J. (1988), On the plausibility of the supply-driven input-output model,Journal of Regional Science28: 203–217.CrossRefGoogle Scholar
  40. Openshaw, S. (1987),An Automated Geographical Analysis System, Environment and Planning A 19: 431–436.Google Scholar
  41. Openshaw, S. (1988), Building an Automated Modeling System to Explore a Universe of Spatial Interaction Models,Geographical Analysis20: 31–46.CrossRefGoogle Scholar
  42. Openshaw, S., M. Charlton, C. Wymer and A. Craft (1987), A Mark 1 Geographical Analysis Machine for the Automated Analysis of Point Data Sets,International Journal of Geographical Information Systems1: 335–358.CrossRefGoogle Scholar
  43. Paelinck, J. and L. Klaassen, (1979),Spatial Econometrics. Farnborough, Saxon House.Google Scholar
  44. Richardson, H. (1985), Input-Output and Economic Base Multipliers: Looking Backward and Forward,Journal of Regional Science25: 607–661.Google Scholar
  45. Round, J.I. (1986), Social Accounting for Regional Economic Systems, in: P. Batey and M. Madden (eds.),Integrated Analysis of Regional Systems, pp. 90–106, London, Pion.Google Scholar
  46. Round, J.I. (1988), Incorporating the Interregional, Regional, and SpatialDimension into a SAM: Some Methods and Applications, in: F. Harrigan and P. McGregor (eds.),Recent Advances in Regional Economic Modelling, pp. 24–45, London, Pion.Google Scholar
  47. Rose, A. and P. Beaumont (1988), Interregional Income-Distribution Multipliers for the West Virginia Economy,Journal of Regional Science28: 461–475.CrossRefGoogle Scholar
  48. Sonis, M. and G. Hewings (1988a), Superposition and Decomposition Principles in Hierarchical Social Accounting and Input-Output Analysis, in: F. Harrigan and P. McGregor (eds.),Recent Advances in Regional Economic Modelling, pp. 46–65, London, Pion.Google Scholar
  49. Sonis, M. and G. Hewings (1988b), Error and Sensitivity in Input-Output Analysis: A New Approach, in: Miller et al. (eds.),Frontiers of Input-Output Analysis. New York, Oxford University Press.Google Scholar
  50. Spencer, J.E. (1988), Computable General Equilibrium, Trade, Factor Mobility and the Regions, in: F. Harrigan and P. McGregor (eds.),Recent Advances in Regional Economic Modelling, pp. 140–152, London, Pion.Google Scholar
  51. Stone, J.R.N, and M. Weale (1986), Two Populations and their Economies, in: P. Batey and M. Madden (eds.),Integrated Analysis of Regional Systems, pp. 74 - 89, London, Pion.Google Scholar
  52. Szyrmer, J. (1985), Measuring Connectedness of Input-Output Models: 1. Survey of the Measures,Environment and Planning A17: 1591–1612.Google Scholar
  53. Taylor, C. (1982a), Econometric Modeling of Urban and Other Substate Areas: An Analysis of Alternative Methodologies,Regional Science and Urban Economics. 12: 425–448.Google Scholar
  54. Taylor, C. (1982b), Regional Econometric Model Comparisons: What Do They Mean?,The Annals of Regional Science18: 1–15.Google Scholar
  55. Treyz, G.I. and B.H. Stevens (1985), The TFS Regional Modelling Methodology,Regional Studies19: 547–562.CrossRefGoogle Scholar
  56. Wegener, M. (1986), Integrated Forecasting Models of Urban and Regional Systems, in: P. Batey and M. Madden (eds.),Integrated Analysis of Regional Systemspp. 9 - 24, London, Pion.Google Scholar
  57. West, G. (1986), A Stochastic Analysis of an Input-Output Model,Econometrica54: 363–374.CrossRefGoogle Scholar

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© Springer-Verlag Berlin · Heidelberg 1991

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  • L. Anselin

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