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Spatial Clustering, Inequality and Income Convergence

Author

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  • Mark V. Janikas

    (San Diego State University)

  • Sergio J. Rey

    (San Diego State University)

Abstract

This paper examines the relationship between spatial clustering and inequality at the county scale with overall state per capita income in the U.S. over the period 1969-2000. For each of the 48 coterminous states we examine measures of inequality and spatial clustering and explore how a state's overall income level may be influenced by, or influence, these measures. Our exploratory analysis utilizes the open- source package Space-Time Analysis of Regional Systems (STARS) to illustrate some new techniques for analyzing regional income dynamics. The results provide insight into the possible relationships between inequality, clustering and relative income levels, and generates a number of interesting avenues for future research.

Suggested Citation

  • Mark V. Janikas & Sergio J. Rey, 2005. "Spatial Clustering, Inequality and Income Convergence," Urban/Regional 0501002, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpur:0501002
    Note: Type of Document - pdf; pages: 22
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/urb/papers/0501/0501002.pdf
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    References listed on IDEAS

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    11. Barro, Robert J, 2000. "Inequality and Growth in a Panel of Countries," Journal of Economic Growth, Springer, vol. 5(1), pages 5-32, March.
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    2. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    3. Alexandra SCHAFFAR, 2008. "Regional Income Inequality And Urbanisation Trends In China: 1978-2005," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 28, pages 87-110.
    4. Michaela Chocholatá & Andrea Furková, 2017. "Does the location and the institutional background matter in convergence modelling of the EU regions?," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(3), pages 679-697, September.
    5. Sébastien BOURDIN, 2013. "Une Mesure Spatiale Locale De La Sigma-Convergence Pour Evaluer Les Disparites Regionales Dans L’Union Europeenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 37, pages 179-196.
    6. John P. Shelnutt & Vincent W. Yao, 2005. "A spatial analysis of income inequality in Arkansas at the county level: evidence from tax and commuting data," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 52-65.
    7. Jabrane Amaghouss & Aomar Ibourk, 2016. "Les inégalités dans le domaine de l’éducation au Maroc: Une approche spatial," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 28(5), pages 783-807, November.
    8. Panagiotis Artelaris, 2021. "Regional economic growth and inequality in Greece," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 141-158, February.
    9. repec:rre:publsh:v:38:y:2008:i:1:p:45-65 is not listed on IDEAS
    10. Mark V. JANIKAS & Sergio J. REY, 2008. "On The Relationships Between Spatial Clustering, Inequality, And Economic Growth In The United States : 1969-2000," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 13-34.
    11. Gyawali, Buddhi Raj & Fraser, Rory & Banerjee, Ban & Bukenya, James O., 2009. "Income Convergence and Growth in Alabama: Evidence from Sub-county Level Data," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46713, Southern Agricultural Economics Association.
    12. Elizabeth Mack & Yifan Zhang & Sergio Rey & Ross Maciejewski, 2014. "Spatio-temporal analysis of industrial composition with IVIID: an interactive visual analytics interface for industrial diversity," Journal of Geographical Systems, Springer, vol. 16(2), pages 183-209, April.
    13. Alberto Díaz Dapena & Esteban Fernández Vázquez & Fernando Rubiera Morollón, 2016. "The role of spatial scale in regional convergence: the effect of MAUP in the estimation of $$\beta $$ β -convergence equations," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 473-489, March.

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    More about this item

    Keywords

    spatial clustering; spatial dependence; inequality; convergence; geocomputation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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