DOI QR코드

DOI QR Code

Development of a Sustainable Regional Economic Growth Model (SREG) Using Multiplier Theory

승수이론을 이용한 지속가능한 지역경제성장모델의 개발

  • Jung, Nam-Su (Department of Regional Construction in Kongju National University)
  • Published : 2007.01.31

Abstract

This paper develops a Sustainable Regional Economic Growth Model (SREG) which estimates the relation of labor population change and employment increase in each occupation and maximum limits and minimum requirements of employment increase by labor population change in a specified region using multiplier theory. To develop the proposed model, sustainable regional economic growth is defined as a steady increase of labor population over a long term period and the limit of employment increase is defined as the estimated labor population change in the region with no need for commutation from the surrounded areas. Developed model was applied to 67 county in Pennsylvania State and the results revealed that the investment in infrastructure occupations, such as transportation, warehousing, utilities, information, communication, and other public utilities, maximizes the effects for increasing employment, whereas finance, insurance, and real estate occupations have minimum effects for increasing employment. Calculated minimum requirements of occupations show that infra-structure occupations is a critical factor for labor population change and maximum limits of occupations show that agriculture and finance occupations are difficult to increase independently.

Keywords

References

  1. Churchill, C. J., Baetz, B. W., 1999. Development of Decision Support System for Sustainable Community Design. Journal of Urban Planning and Development. 125(1), 17-35 https://doi.org/10.1061/(ASCE)0733-9488(1999)125:1(17)
  2. Creamer, D., 1943. Shifts of Manufacturing Industries. Industrial Location and Natural Resources
  3. George, S. M., Babu, P. R, and Khanna, P., 1997. Neural Network Model for Consequence Analysis of Developmental Proposals. National Environmental Engineering Research Institute
  4. Halperin, S. B. and Rodney H. M., 1984. Property and Casualty Insurance Lines Comparison: A Shift-Share Analysis. The Journal of Risk and Insurance 51(3), 524-535 https://doi.org/10.2307/252484
  5. Jung, N. S., Lee, J. J., Heinemann, P. H., Kim, D. S., Kim, H. J., 2004. Developing a Regional Elderly Migration Model Considering Spatial Interaction. Journal of Urban Planning and Development ASCE 130(4), 175-183 https://doi.org/10.1061/(ASCE)0733-9488(2004)130:4(175)
  6. Lee, C., 1973. Models in Planning: An Introduction to the Use of Quantitative Models in Planning. Oxford: Pergamon Press
  7. Potepan, M. J., 1994. Intermetropolitan Migration and Housing Prices: Simultaneously Determined? Journal of Housing Economics 3, 77-91 https://doi.org/10.1006/jhec.1994.1001
  8. Quaddus, M. A. and Siddique, M. A. B., 2001. Modelling sustainable development planning: A multicriteria decision conferencing approach. Environment International 27, 89-95 https://doi.org/10.1016/S0160-4120(01)00066-6
  9. Riggs, J. E., 1994. The Cohort Mortality Perspective: The Emperor's New Clothes of Epidemiology, an Illustration Using Cancer Mortality. Regulatory Toxicology and Pharmacology 19, 202-210 https://doi.org/10.1006/rtph.1994.1018
  10. World Commission on Environment and Development, 1987. Our common future. Oxford Univ. Press
  11. Youn, D. S. and Youn, S. S., 1998. City Modeling. HongIkSa, South Korea